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<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Ecol. Evol.</journal-id>
<journal-title-group>
<journal-title>Frontiers in Ecology and Evolution</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Ecol. Evol.</abbrev-journal-title>
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<issn pub-type="epub">2296-701X</issn>
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<publisher-name>Frontiers Media S.A.</publisher-name>
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<article-id pub-id-type="doi">10.3389/fevo.2025.1648121</article-id>
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<article-categories>
<subj-group subj-group-type="heading">
<subject>Original Research</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>The shrub density effect: unraveling vertebrate community dynamics along an aridity gradient in Southern California</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name><surname>Zuliani</surname><given-names>Mario</given-names></name>
<xref ref-type="aff" rid="aff1"/>
<xref ref-type="corresp" rid="c001"><sup>*</sup></xref>
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<name><surname>Ghazian</surname><given-names>Nargol</given-names></name>
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<contrib contrib-type="author">
<name><surname>MacDonald</surname><given-names>Suzanne E.</given-names></name>
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<name><surname>Lortie</surname><given-names>Christopher J.</given-names></name>
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<aff id="aff1"><institution>Department of Biology, York University</institution>, <city>Toronto</city>, <state>ON</state>,&#xa0;<country country="ca">Canada</country></aff>
<author-notes>
<corresp id="c001"><label>*</label>Correspondence: Mario Zuliani, <email xlink:href="mailto:zulianimario96@gmail.com">zulianimario96@gmail.com</email></corresp>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2025-09-10">
<day>10</day>
<month>09</month>
<year>2025</year>
</pub-date>
<pub-date publication-format="electronic" date-type="collection">
<year>2025</year>
</pub-date>
<volume>13</volume>
<elocation-id>1648121</elocation-id>
<history>
<date date-type="received">
<day>16</day>
<month>06</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>26</day>
<month>08</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2025 Zuliani, Ghazian, MacDonald and Lortie.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Zuliani, Ghazian, MacDonald and Lortie</copyright-holder>
<license>
<ali:license_ref start_date="2025-09-10">https://creativecommons.org/licenses/by/4.0/</ali:license_ref>
<license-p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License (CC BY)</ext-link>. The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</license-p>
</license>
</permissions>
<abstract>
<p>Foundational shrub species can support vertebrate communities within desert ecosystems. These shrubs provide thermal refuge to aid in temperature amelioration and to escape predation. Within Southern California, USA, harsh abiotic conditions influence the frequency of these shrub-animal interactions. We tested the hypothesis that increasing shrub density will positively influence local vertebrate communities across a variety of arid ecosystems within Southern California. We used a combination of camera trapping and temperature pendants across a 2-year field study to assess the effects of shrub density and near-surface air temperature on vertebrate community composition. Sites were established across Southern California, each consisting of four 20 m radius microsites, with shrub densities ranging from 0 to 14 individuals. Increasing shrub densities significantly increased the frequency of observation and richness of local vertebrate communities. Relatively higher near-surface air temperatures (NSAT) significantly decreased vertebrate observations, richness, and evenness. Sites with relatively higher annual aridity negatively influenced vertebrate species observations and richness, but could be offset by increasing shrub densities. While shrub encroachment in many ecosystems may have negative impacts on species biodiversity, our findings suggest that increasing densities of foundational shrub species positively influences vertebrate community measurements and composition across varying arid ecosystems. Understanding how these foundational shrub species can be used to assess vertebrate communities can provide key insight into vertebrate-shrub interactions and how these densities can shape the biodiversity of an ecosystem.</p>
</abstract>
<kwd-group>
<kwd>aridity</kwd>
<kwd>community</kwd>
<kwd>density</kwd>
<kwd>facilitation</kwd>
<kwd>shrub</kwd>
<kwd>temperature</kwd>
</kwd-group>
<funding-group>
<funding-statement>The author(s) declare that no financial support was received for the research and/or publication of this article.</funding-statement>
</funding-group>
<counts>
<fig-count count="6"/>
<table-count count="2"/>
<equation-count count="0"/>
<ref-count count="86"/>
<page-count count="14"/>
<word-count count="5641"/>
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<custom-meta-group>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Conservation and Restoration Ecology</meta-value>
</custom-meta>
</custom-meta-group>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<title>Introduction</title>
<p>Within the last decade, Southern California has experienced increasingly harsh climatic conditions, with a combination of record low rainfall and temperature highs resulting in extended drought events (<xref ref-type="bibr" rid="B40">Mann and Gleick, 2015</xref>). With increasing anthropogenic changes, animal species have become dependent on both inter- and intraspecific interactions to reduce potential adverse effects (<xref ref-type="bibr" rid="B9">Dangles et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B55">Rahman and Candolin, 2022</xref>). To reduce harsh abiotic conditions, animals will associate with foundational species, defined as species that play a strong role in structuring an ecological community and define an ecosystem through physically modifying the environment and creating habitats (<xref ref-type="bibr" rid="B78">Westphal et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B14">Ellison, 2019</xref>). Foundational species often exhibit facilitative associations with animals, where one interacting species benefits while the other is unaffected (<xref ref-type="bibr" rid="B6">Callaway and D&#x2019;Antonio, 1991</xref>; <xref ref-type="bibr" rid="B47">Noble et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B33">Lortie et&#xa0;al., 2016</xref>, <xref ref-type="bibr" rid="B34">Lortie et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B9">Dangles et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B14">Ellison, 2019</xref>; <xref ref-type="bibr" rid="B38">Lucero et&#xa0;al., 2020</xref>, <xref ref-type="bibr" rid="B37">Lucero et&#xa0;al., 2022</xref>). Foundational species define ecosystems by shaping the biodiversity of associating species and manage ecosystem processes through erosion control, biodiversity support, and microclimatic regulation (<xref ref-type="bibr" rid="B14">Ellison, 2019</xref>; <xref ref-type="bibr" rid="B35">Lortie et&#xa0;al., 2021</xref>). Within Southern California deserts, shrubs act as foundational species, providing benefits to both plant and animal communities (<xref ref-type="bibr" rid="B33">Lortie et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B83">Zuliani et&#xa0;al., 2021</xref>). Vertebrate species are reliant on foundational shrub species (<xref ref-type="bibr" rid="B53">Pugnaire et&#xa0;al., 1996</xref>; <xref ref-type="bibr" rid="B4">Braun et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B84">Zuliani et&#xa0;al., 2023a</xref>) as they are used to escape predation (<xref ref-type="bibr" rid="B15">Filazzola et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B60">Salido and Vicente, 2019</xref>), thermoregulate (<xref ref-type="bibr" rid="B24">Ivey et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B16">Gaudenti et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B86">Zuliani et&#xa0;al., 2023b</xref>), and as a food source (<xref ref-type="bibr" rid="B32">Lortie et&#xa0;al., 2020</xref>). Further understanding the facilitative associations between foundational shrubs and vertebrate species can provide key insight into how environmental resources are used both by vertebrate individuals and communities.</p>
<p>Given that foundational shrubs positively influence local animal communities, increasing the number of shrubs available should provide more opportunities for facilitative associations. In terms of plant-animal interactions, the density of shrubs can influence the net outcome of animal interactions while also influencing the local community composition (<xref ref-type="bibr" rid="B65">Springer et&#xa0;al., 2003</xref>; <xref ref-type="bibr" rid="B83">Zuliani et&#xa0;al., 2021</xref>). As shrub density increases within an ecosystem, vertebrate species are given more opportunities to benefit from the facilitative associations, such as having more areas to thermoregulate (<xref ref-type="bibr" rid="B44">Milling et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B86">Zuliani et&#xa0;al., 2023b</xref>). For instance, the federally endangered species <italic>Gambelia sila</italic>, the Blunt-Nosed Leopard Lizard, uses shrubs within the desert of Southern California to thermoregulate, and has been predicted to have higher abundances as shrub densities increase (<xref ref-type="bibr" rid="B24">Ivey et&#xa0;al., 2020</xref>, <xref ref-type="bibr" rid="B25">Ivey et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B86">Zuliani et&#xa0;al., 2023b</xref>). While shrub cover is more commonly measured when assessing plant communities (<xref ref-type="bibr" rid="B32">Lortie et&#xa0;al., 2020</xref>), it can be used in tandem with shrub density to predict animal abundances (<xref ref-type="bibr" rid="B74">Van Auken, 2009</xref>; <xref ref-type="bibr" rid="B84">Zuliani et&#xa0;al., 2023a</xref>).</p>
<p>While foundational shrubs can positively influence animal communities, desert and grassland ecosystems globally are experiencing shrub encroachment, a phenomenon where woody shrub species increase in density, contributing to significant changes in vegetation cover (<xref ref-type="bibr" rid="B74">Van Auken, 2009</xref>; <xref ref-type="bibr" rid="B36">Losapio et&#xa0;al., 2024</xref>). Shrub encroachment has complex and sometimes contradictory effects on ecosystem health and biodiversity with traditional perspectives viewing shrub encroachment negatively, as it can increase desertification and reduce diversity in desert and grassland ecosystems (<xref ref-type="bibr" rid="B74">Van Auken, 2009</xref>; <xref ref-type="bibr" rid="B43">McCleery et&#xa0;al., 2018</xref>). For example, high densities of woody shrubs can negatively affect avian species distribution and diversity (<xref ref-type="bibr" rid="B2">Andersen and Steidl, 2019</xref>). However, recent studies have revealed that increasing shrub cover can also benefit wildlife, though these effects are highly context and species dependent (<xref ref-type="bibr" rid="B67">Stanton et&#xa0;al., 2021</xref>). In North American arid ecosystems, studies have documented positive relationships between increasing shrub densities and associated species (<xref ref-type="bibr" rid="B66">Stanton et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B10">De Souza et&#xa0;al., 2022</xref>). Vertebrate species that associate with foundational shrubs generally benefit from encroachment through increased abundance and richness (<xref ref-type="bibr" rid="B84">Zuliani et&#xa0;al., 2023a</xref>; <xref ref-type="bibr" rid="B49">Owen et&#xa0;al., 2024</xref>). Some Southern California ecosystems, such as the Carrizo Plain National Monument, exemplify these benefits as encroachment can reconvert arid grasslands back into a shrubland (<xref ref-type="bibr" rid="B5">Browning et&#xa0;al., 2008</xref>). Increases in shrub density and cover, particularly of foundational species, can promote facilitative associations that positively influence vertebrate abundance and richness (<xref ref-type="bibr" rid="B80">Whitford, 1997</xref>; <xref ref-type="bibr" rid="B13">Eldridge and Soliveres, 2014</xref>; <xref ref-type="bibr" rid="B62">Schooley et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B85">Zuliani et&#xa0;al., 2024</xref>). Understanding how changing shrub densities influence animal community provides valuable insights for assessing community composition and informing conservation practices.</p>
<p>Desert ecosystems in Southern California are experiencing higher frequencies of mega-droughts (<xref ref-type="bibr" rid="B57">Reynolds et&#xa0;al., 1999</xref>; <xref ref-type="bibr" rid="B28">Kogan and Guo, 2015</xref>; <xref ref-type="bibr" rid="B19">Gols et&#xa0;al., 2021</xref>). As temperatures increase within deserts, vertebrate associations change to promote activities that are more suitable for thermoregulation and reduce abiotic stressors (<xref ref-type="bibr" rid="B45">Moore et&#xa0;al., 2018</xref>). High near-surface air temperatures (NSAT) will influence species at both an individual and community level (<xref ref-type="bibr" rid="B46">Newbold, 2018</xref>). These increasing temperatures will cause a significant decline in vertebrate communities by reducing seasonal migration patterns and behavior (<xref ref-type="bibr" rid="B46">Newbold, 2018</xref>; <xref ref-type="bibr" rid="B58">Riddell et&#xa0;al., 2021</xref>). However, the effects increasing temperatures have on vertebrates are species dependent and can be mediated through ecosystem resources, such as the presence of burrows and shrubs (<xref ref-type="bibr" rid="B50">Pike and Mitchell, 2013</xref>; <xref ref-type="bibr" rid="B58">Riddell et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B83">Zuliani et&#xa0;al., 2021</xref>). Within desert environments, high temperatures are associated with reduction in both humidity and precipitation (<xref ref-type="bibr" rid="B76">Walker and Landau, 2018</xref>). Under extreme abiotic conditions, such as high temperatures and significantly low precipitation, the regions within southern California are classified as arid or semi-arid (<xref ref-type="bibr" rid="B1">Abella et&#xa0;al., 2012</xref>; <xref ref-type="bibr" rid="B41">Marengo and Bernasconi, 2015</xref>). As global temperatures increase, vertebrate species will continue to depend on ecosystem resources, including shrubs, to mitigate harsh abiotic conditions.</p>
<p>As the frequency of these mega-drought events increase in Southern California, ecosystems will become more arid (<xref ref-type="bibr" rid="B18">Germano et&#xa0;al., 2011</xref>; <xref ref-type="bibr" rid="B1">Abella et&#xa0;al., 2012</xref>; <xref ref-type="bibr" rid="B41">Marengo and Bernasconi, 2015</xref>). Increasing aridification of dryland ecosystems is causing a dynamic shift in the structure of ecosystems as plant and animal communities adjust to new conditions (<xref ref-type="bibr" rid="B20">Hacker and Gaines, 1997</xref>; <xref ref-type="bibr" rid="B26">James and Tallis, 2019</xref>). Across Southern California, there is an increasing aridity gradient in dryland ecosystems, suggesting that local species utilize ecosystem resources differently to reduce harsh abiotic conditions (<xref ref-type="bibr" rid="B77">Welles and Funk, 2021</xref>). As these ecosystems become more arid, the negative impacts on plant and animal communities become more prevalent (<xref ref-type="bibr" rid="B38">Lucero et&#xa0;al., 2020</xref>). Within animal communities, aridity can have negative impacts on their associations, becoming more reliant on ecosystem resources, such as shrubs, which are more readily available at higher densities (<xref ref-type="bibr" rid="B69">Tews et&#xa0;al., 2004</xref>; <xref ref-type="bibr" rid="B83">Zuliani et&#xa0;al., 2021</xref>). Furthering the knowledge of how variations in aridity influence local animal species, and how these species utilize ecosystem resources to ameliorate these stressors, can increase our understanding of how these conditions alter environmental processes and community associations.</p>
<p>Determining the effects of shrub density on vertebrate community composition can further the current understanding of facilitative associations and provide insight on how this ecosystem resource is used in dryland ecosystems. Here, we conducted a 2-year study at six different sites across Southern California. We tested the hypothesis that increasing shrub density will positively influence vertebrate communities within Southern California. In this study, we tested the following predictions:</p>
<list list-type="simple">
<list-item>
<p>1) Shrub Density at Microsite Level</p></list-item>
<list-item>
<p>&#x2003;a. Increasing shrub density will increase the total frequency of observations, richness, and evenness of vertebrate species at the microsite level.</p></list-item>
<list-item>
<p>&#x2003;b. The effects of increasing shrub densities at microsite level will positively influence vertebrate community composition.</p></list-item>
<list-item>
<p>2) Temperature at Microsite Level</p></list-item>
<list-item>
<p>&#x2003;a. Increasing near-surface air temperature will decrease the total observations, richness, and evenness of vertebrate communities.</p></list-item>
<list-item>
<p>3) Shrub density &amp; Aridity at Site Level</p></list-item>
<list-item>
<p>&#x2003;a. The positive effects of site-level estimates of shrub density on animal communities will increase with increasing relative aridity between sites.</p></list-item>
</list>
</sec>
<sec id="s2">
<title>Methods</title>
<sec id="s2_1">
<title>Study sites</title>
<p>Our study was conducted across arid ecosystems in Southern California for 30-days between May and June 2022 and 2023. Six study sites were divided within the Carrizo Plain National Monument (35.11566, -119.62069), the Cuyama Valley (34.848726, -119.48312), and the Mojave Desert (35.851515, -116.18671; <xref ref-type="fig" rid="f1"><bold>Figure&#xa0;1</bold></xref>). At each study site, four microsites were established, approximately 100 m away from each other, ranging from no shrubs to relatively high densities (the densest shrub patches within a site) (n = 24). To establish each microsite, a random centroid was selected to act as the middle of the 20 m radius microsite. To calculate shrub density, the number of shrubs within the 20 m radius was counted. Shrub cover was measured for each shrub within a microsite by taking the longest dimensional width of the shrub, the perpendicular length, and the height to the highest living tissue (<xref ref-type="bibr" rid="B15">Filazzola et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B83">Zuliani et&#xa0;al., 2021</xref>). Shrub canopy cover was then estimated by calculating the volume of the shrub individual using the formula of a sphere (<xref ref-type="bibr" rid="B83">Zuliani et&#xa0;al., 2021</xref>).</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>A map <bold>(A)</bold> of study sites sampled across Southern California. Average temperatures were recorded per study site and displayed using a blue-red color gradient. Images <bold>(B)</bold> of high and low shrub densities were included to better illustrate the contrast between sample sites. Centroids of the sites are indicated by red open circles. Sites were selected based on the presence of the foundational shrub species <italic>Ephedra californica</italic>. The map was generated utilizing the R package ggmaps and images of sites were taken via satellite imagery from Google Earth TM.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fevo-13-1648121-g001.tif">
<alt-text content-type="machine-generated">Map of California (Panel A) showing colored markers indicating regions with varying mean temperatures, ranging from 24&#xb0;C to 30&#xb0;C. Blue circles represent cooler areas, red circles warmer areas. Side by side, an aerial view (Panel B) of shrub density in Tecopa, with labeled points: &#x201c;Tecopa Shrub&#x201d; showing shrub density and &#x201c;Tecopa Open&#x201d; indicating no shrub presence.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s2_2">
<title>Study species</title>
<p><italic>Ephedra californica</italic> is one of the most common native woody plant species within Southern California. <italic>Ephedra californica</italic> typically grows 0.25&#x2013;1 meter in height with a similar spread within a 5&#x2013;10-year period, forming dense, rounded canopies with distinctive jointed, photosynthetic stems that lack true leaves (<xref ref-type="bibr" rid="B61">Sawyer et&#xa0;al., 2009</xref>; <xref ref-type="bibr" rid="B81">Whitford and Steinberger, 2020</xref>; <xref ref-type="bibr" rid="B4">Braun et&#xa0;al., 2021</xref>). <italic>Ephedra californica</italic> is a flowering shrub species with a blooming season from March to May, is typically found in sandy soils and the well-developed cryptogram layer of the Mojave Desert (<xref ref-type="bibr" rid="B61">Sawyer et&#xa0;al., 2009</xref>; <xref ref-type="bibr" rid="B4">Braun et&#xa0;al., 2021</xref>). This is a vital foundation species in California desert ecosystems as it is one of the most common facilitative species in these regions and is at the base of interactions with both plant and animal communities (<xref ref-type="bibr" rid="B34">Lortie et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B15">Filazzola et&#xa0;al., 2017</xref>). <italic>Ephedra californica</italic> is resilient and can survive severe abiotic stressors, such as drought, extreme heat, and lack of nutrition, while also surviving mechanical damage, such as branch breaking or herbivory (<xref ref-type="bibr" rid="B34">Lortie et&#xa0;al., 2018</xref>). <italic>Ephedra californica</italic> is used by several species of vertebrates including the Blunt-Nosed Leopard Lizard, Giant Kangaroo Rat, and San Joaquin Jack Rabbits (<xref ref-type="bibr" rid="B52">Prugh and Brashares, 2010</xref>; <xref ref-type="bibr" rid="B47">Noble et&#xa0;al., 2016</xref>). One frequently observed species at our study sites was <italic>Dipodomys heermanni</italic> (Heermann&#x2019;s Kangaroo Rat). This is a small nocturnal rodent species present in relatively high abundances within Southern California and is known for creating interconnecting burrows throughout these arid ecosystems (<xref ref-type="bibr" rid="B52">Prugh and Brashares, 2010</xref>). This species consumes the seeds found underneath shrub canopies, resulting in them showing high associations to foundational shrub species. <italic>Lepus californicus</italic> (Black-tailed Jackrabbit), is a large species active both during the day and at night, is frequently found in the Carrizo Plain and Cuyama Valley, and is commonly detected using camera traps. It typically consumes vegetation in open areas and under shrub canopies (<xref ref-type="bibr" rid="B27">Johnson and Anderson, 1984</xref>).</p>
</sec>
<sec id="s2_3">
<title>Camera trapping</title>
<p>VIKERI Model A1 camera traps were used to sample animal communities at each site during the day and night (<xref ref-type="bibr" rid="B47">Noble et&#xa0;al., 2016</xref>). No flash was emitted by cameras to ensure that there were no disturbances to interacting animal species. Two camera traps were deployed on 20 cm stakes driven in the ground, facing each other at the edge of each 20 m radius microsite. A total of 48 camera traps were deployed across all microsites (6 sites, 4 microsites, 2 cameras per site). Each camera trap was set to medium sensitivity with a 1-minute delay to minimize the number of misfired photos taken from background activity (<xref ref-type="bibr" rid="B70">Tourani et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B83">Zuliani et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B42">Mashintonio et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B29">Leorna and Brinkman, 2024</xref>). Camera traps were checked approximately every four to five days to ensure proper function for the 30-day field study between May and June 2022 and 2023. Camera locations were not food-baited. The images were saved on 24 GB SD cards as Joint Photographic Export Group (JPEG) files and examined during data extraction. Each photo was taken as a new species instance with photo ID, site, year, date, camera number, shrub density, presence or absence of animal, species of animal, and camera trap timestamp all recorded. Independent photos were defined as when the individual animal was not observed at the same position within the 1-minute lag-time (<xref ref-type="bibr" rid="B30">Lepard et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B83">Zuliani et&#xa0;al., 2021</xref>). Camera trap rate of capture was calculated per year by taking the difference between the number of new species instances, with the total number of observations for the 30-day duration (<xref ref-type="bibr" rid="B47">Noble et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B83">Zuliani et&#xa0;al., 2021</xref>). All data taken from camera traps each year were then combined into one density datasheet.</p>
</sec>
<sec id="s2_4">
<title>Species validation</title>
<p>Identification of vertebrate individuals to the species level via camera traps is challenging as the exact physiological characteristics can be difficult to distinguish (<xref ref-type="bibr" rid="B11">Dorning and Harris, 2019</xref>). For example, differentiating between <italic>Dipodomys merriami</italic> and <italic>Dipodomys microps</italic> is dependent on coloration and variations in length (<xref ref-type="bibr" rid="B64">Sjoberg et&#xa0;al., 1984</xref>; <xref ref-type="bibr" rid="B63">Siciliano-Martina et&#xa0;al., 2023</xref>). Vertebrate species observations through camera trap photos were validated using a combination of Wildlife Insight (<xref ref-type="bibr" rid="B75">V&#xe9;lez et&#xa0;al., 2023</xref>) and the iNaturalist application (<xref ref-type="bibr" rid="B71">Unger et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B23">iNaturalist</xref>). Combining both applications for species validation provided the most plausible identification for images with species present and were further validated by individual observers. Unknown animals detected in images were labeled as &#x2018;unknowns&#x2019; and were later excluded from the community composition data. Images were saved as JPEG files on hard drives for data analysis.</p>
</sec>
<sec id="s2_5">
<title>Microclimatic microsite level measures</title>
<p>Near-surface air temperature for each site was recorded using OMEGA USB loggers, suspended approximately 20 cm above ground on a wooden stake (<xref ref-type="bibr" rid="B3">Ashcroft, 2018</xref>; <xref ref-type="bibr" rid="B68">Terando et&#xa0;al., 2018</xref>). At shrub density microsites, two loggers were placed under random shrub canopies, while at open microsites two loggers were placed next to camera traps. These loggers remained within the shrub and open microsites for the duration of the field experiment. Hourly near-surface air temperatures were logged (&#xb0;C) and used to calculate the daily means.</p>
</sec>
<sec id="s2_6">
<title>Site-level climate measures</title>
<p>The annual aridity of each region was estimated utilizing the De Martonne Aridity Index equation AI = P/(MAT + 10), where P is the total annual precipitation in mm, and MAT is the Mean Annual Temperature in &#xb0;C (<xref ref-type="bibr" rid="B82">Zomer et&#xa0;al., 2008</xref>; <xref ref-type="bibr" rid="B17">Gebremedhin et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B54">Rafiq et&#xa0;al., 2023</xref>). Site-level temperature and precipitation data were collected and compiled from local weather stations within 1&#x2013;5 km of the study sites (<xref ref-type="bibr" rid="B85">Zuliani et&#xa0;al., 2024</xref>).</p>
</sec>
<sec id="s2_7">
<title>Statistical analysis</title>
<p>All statistical analyses were conducted in R version. 4.3.1 (<xref ref-type="bibr" rid="B56">R Core Development Team, 2024</xref>). A Pearson&#x2019;s correlation test was used to determine the relationship between shrub density and cover and to test if density could be used as a proxy for shrub cover. Density and cover were significantly correlated (r = 0.749, p-value &lt; 0.001) and had moderate to high degree of multicollinearity in GLMs (<xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Table S1</bold></xref>). Therefore, only density was used for GLMs. A Pearson&#x2019;s correlation test was used to test for a relationship between temperature and humidity and to determine if temperature could be used as a proxy for humidity in the GLMs. Temperature and humidity at microsites were significantly correlated (<xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Figure S1</bold></xref>; r = -0.91, p-value &lt; 0.001). Thus, temperature was used in GLMs to represent the microclimate of microsites. The number of individual animal observations (henceforth termed &#x201c;observations&#x201d;), species richness, and evenness of vertebrate species was tested at the fine-scale to determine the influence of shrub density within a 20-meter radius and near-surface air temperature. Second degree general linear mixed models (GLMMs) were used to examine these relationships in Southern California for each year independently, with shrub density and near-surface air temperature set as factors and nested within site. Collinearity between shrub density and cover for observations, richness, and evenness was tested in each model using the function &#x2018;check_collinearity&#x2019; from the <italic>performance</italic> R package (<xref ref-type="bibr" rid="B39">L&#xfc;decke et&#xa0;al., 2021</xref>). Multiple linear and non-linear models for observations, richness, and evenness, were tested with the models yielding the lowest AIC scores being used for all statistical analyses (<xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Table S2</bold></xref>; <xref ref-type="bibr" rid="B51">Portet, 2020</xref>). Total animal observations and richness were treated as a Poisson distribution, while evenness was treated as a Gaussian distribution. Site-level analysis was conducted utilizing a second degree general linear mixed model with total shrub density and site level aridity as factors. Site-level statistical analyses were conducted with observations and richness treated as a Poisson distribution, while evenness was treated as a Gaussian distribution. All site-level models had shrub density and aridity as covariate. Multivariate analysis of composition was tested using the vegan package (<xref ref-type="bibr" rid="B48">Oksanen et&#xa0;al., 2022</xref>). Principle Coordinate Analyses (PCOAs) compared the different vertebrate communities at both shrub and open microsites and to assess whether the composition of the communities varied at increasing shrub density and open microsites within Southern California (<xref ref-type="bibr" rid="B12">Dray et&#xa0;al., 2006</xref>).</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<title>Results</title>
<sec id="s3_1">
<title>Shrub density</title>
<p>A total of 250,000 photos was taken, with 2022 yielding 58,000 photos and 2023 yielding 192,000 photos. Models testing vertebrate observations, richness, and evenness showed high collinearity between shrub density and cover (<xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Table S1</bold></xref>). In 2022, increasing microsite level shrub density positively influenced vertebrate observations, but did not influence richness and evenness (<xref ref-type="fig" rid="f2"><bold>Figure&#xa0;2</bold></xref>; <xref ref-type="table" rid="T1"><bold>Table&#xa0;1</bold></xref>). In 2023, vertebrate observations and richness significantly increased with increasing microsite level shrub density, while evenness had no effect (<xref ref-type="fig" rid="f2"><bold>Figure&#xa0;2</bold></xref>; <xref ref-type="table" rid="T1"><bold>Table&#xa0;1</bold></xref>).</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>The relative effects of increasing shrub density across arid sites within Southern California. Data were collected from camera traps in 2022 and 2023 field seasons then split by year to display the variation in vertebrate community measurements including Observed animals, Richness, and Evenness. Shaded regions indicate 95% confidence intervals.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fevo-13-1648121-g002.tif">
<alt-text content-type="machine-generated">Six scatter plots compare relationships between shrub density and three variables for the years 2022 and 2023. The top row shows &#x201c;Observed Animals,&#x201d; the middle row shows &#x201c;Richness,&#x201d; and the bottom row shows &#x201c;Evenness.&#x201d; Each graph includes a trend line and shaded confidence interval. Observations are marked with points.</alt-text>
</graphic>
</fig>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Analysis of microsite-level vertebrate observations, richness, and evenness from general linear model for study period with shrub density and logger-temperature as factors.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">Year</th>
<th valign="middle" align="left">Factor</th>
<th valign="middle" align="left">Variable</th>
<th valign="middle" align="left">df</th>
<th valign="middle" align="left">Deviance</th>
<th valign="middle" align="left">Residual df</th>
<th valign="middle" align="left">Residual deviance</th>
<th valign="middle" align="left">p-value</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" rowspan="12" align="left">2022</td>
<td valign="top" rowspan="4" align="left">Observations</td>
<td valign="middle" align="left">Null</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left">23</td>
<td valign="middle" align="left">4036.2</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">Shrub Density</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left">205.26</td>
<td valign="middle" align="left">22</td>
<td valign="middle" align="left">3830.9</td>
<td valign="middle" align="left"><bold>&lt; 0.001</bold></td>
</tr>
<tr>
<td valign="middle" align="left">Temperature</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left">2197.10</td>
<td valign="middle" align="left">21</td>
<td valign="middle" align="left">1633.8</td>
<td valign="middle" align="left"><bold>&lt; 0.001</bold></td>
</tr>
<tr>
<td valign="middle" align="left">Shrub Density * Temperature</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left">30.56</td>
<td valign="middle" align="left">20</td>
<td valign="middle" align="left">1603.2</td>
<td valign="middle" align="left"><bold>&lt; 0.001</bold></td>
</tr>
<tr>
<td valign="top" rowspan="4" align="left">Richness</td>
<td valign="middle" align="left">Null</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left">23</td>
<td valign="middle" align="left">73.099</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">Shrub Density</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left">0.516</td>
<td valign="middle" align="left">22</td>
<td valign="middle" align="left">72.583</td>
<td valign="middle" align="left">0.4725</td>
</tr>
<tr>
<td valign="middle" align="left">Temperature</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left">58.223</td>
<td valign="middle" align="left">21</td>
<td valign="middle" align="left">14.36</td>
<td valign="middle" align="left"><bold>&lt; 0.001</bold></td>
</tr>
<tr>
<td valign="middle" align="left">Shrub Density * Temperature</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left">0.247</td>
<td valign="middle" align="left">20</td>
<td valign="middle" align="left">14.113</td>
<td valign="middle" align="left">0.619</td>
</tr>
<tr>
<td valign="top" rowspan="4" align="left">Evenness</td>
<td valign="middle" align="left">Null</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left">23</td>
<td valign="middle" align="left">2.2424</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">Shrub Density</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left">0.00015</td>
<td valign="middle" align="left">22</td>
<td valign="middle" align="left">2.2423</td>
<td valign="middle" align="left">0.9715</td>
</tr>
<tr>
<td valign="middle" align="left">Temperature</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left">0.27083</td>
<td valign="middle" align="left">21</td>
<td valign="middle" align="left">1.9714</td>
<td valign="middle" align="left">0.0974</td>
</tr>
<tr>
<td valign="middle" align="left">Shrub Density * Temperature</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left">0.00008</td>
<td valign="middle" align="left">20</td>
<td valign="middle" align="left">1.9714</td>
<td valign="middle" align="left">0.9976</td>
</tr>
<tr>
<td valign="top" rowspan="12" align="left">2023</td>
<td valign="top" rowspan="4" align="left">Observations</td>
<td valign="middle" align="left">Null</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left">23</td>
<td valign="middle" align="left">513.44</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">Shrub Density</td>
<td valign="middle" align="left">2</td>
<td valign="middle" align="left">131.337</td>
<td valign="middle" align="left">21</td>
<td valign="middle" align="left">382.10</td>
<td valign="middle" align="left"><bold>&lt; 0.001</bold></td>
</tr>
<tr>
<td valign="middle" align="left">Temperature</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left">56.369</td>
<td valign="middle" align="left">20</td>
<td valign="middle" align="left">325.73</td>
<td valign="middle" align="left"><bold>&lt; 0.001</bold></td>
</tr>
<tr>
<td valign="middle" align="left">Shrub Density * Temperature</td>
<td valign="middle" align="left">2</td>
<td valign="middle" align="left">30.548</td>
<td valign="middle" align="left">18</td>
<td valign="middle" align="left">295.19</td>
<td valign="middle" align="left"><bold>&lt; 0.001</bold></td>
</tr>
<tr>
<td valign="top" rowspan="4" align="left">Richness</td>
<td valign="middle" align="left">Null</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left">23</td>
<td valign="middle" align="left">29.2748</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">Shrub Density</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left">7.3013</td>
<td valign="middle" align="left">22</td>
<td valign="middle" align="left">21.9735</td>
<td valign="middle" align="left"><bold>0.0069</bold></td>
</tr>
<tr>
<td valign="middle" align="left">Temperature</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left">0.2204</td>
<td valign="middle" align="left">21</td>
<td valign="middle" align="left">21.7531</td>
<td valign="middle" align="left">0.6387</td>
</tr>
<tr>
<td valign="middle" align="left">Shrub Density * Temperature</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left">0.9602</td>
<td valign="middle" align="left">20</td>
<td valign="middle" align="left">20.793</td>
<td valign="middle" align="left">0.3271</td>
</tr>
<tr>
<td valign="top" rowspan="4" align="left">Evenness</td>
<td valign="middle" align="left">Null</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left">23</td>
<td valign="middle" align="left">2.23199</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">Shrub Density</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left">0.08603</td>
<td valign="middle" align="left">22</td>
<td valign="middle" align="left">2.14596</td>
<td valign="middle" align="left">0.2296</td>
</tr>
<tr>
<td valign="middle" align="left">Temperature</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left">0.34360</td>
<td valign="middle" align="left">21</td>
<td valign="middle" align="left">1.80236</td>
<td valign="middle" align="left"><bold>&lt; 0.016</bold></td>
</tr>
<tr>
<td valign="middle" align="left">Shrub Density * Temperature</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left">0.26824</td>
<td valign="middle" align="left">20</td>
<td valign="middle" align="left">1.5341</td>
<td valign="middle" align="left">0.0615</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Model selection was determined by comparing AIC scores of linear and nonlinear models (See <xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Table S2</bold></xref>). All p-values that were significant at p &lt; 0.05 are indicated in bold.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_2">
<title>Near-surface air temperature</title>
<p>In 2022, vertebrate observations and richness significantly decreased with increasing near-surface air temperatures, while evenness was unaffected (<xref ref-type="fig" rid="f3"><bold>Figure&#xa0;3</bold></xref>; <xref ref-type="table" rid="T1"><bold>Table&#xa0;1</bold></xref>). In 2023, vertebrate observations significantly decreased with increasing near-surface air temperatures, while evenness significantly increased (<xref ref-type="fig" rid="f3"><bold>Figure&#xa0;3</bold></xref>; <xref ref-type="table" rid="T1"><bold>Table&#xa0;1</bold></xref>).</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>The relative effects of near-surface air temperature across arid study sites within Southern California. Data were combined from temperature loggers used in 2022 and 2023 field seasons then split by year to display the variation in vertebrate community measurements including Observed Animals, Richness, and Evenness. Shaded regions indicate 95% confidence intervals.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fevo-13-1648121-g003.tif">
<alt-text content-type="machine-generated">Six scatter plots comparing data between 2022 and 2023. Top row plots show observed animals versus temperature, with a downward trend in 2022 and a U-shaped trend in 2023. Middle row plots show richness versus temperature with a downward trend in 2022 and a flat trend in 2023. Bottom row plots show evenness versus temperature with a slight downward trend in 2022 and an upward trend in 2023. Shaded areas indicate confidence intervals.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3_3">
<title>Community contrasts</title>
<p><italic>Dipodomys heermanni</italic> was the most observed vertebrate species observed with 2397 observations (<xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Table S3</bold></xref>; <xref ref-type="fig" rid="f3"><bold>Figure&#xa0;3</bold></xref>). The composition of vertebrate species communities did not significantly vary across shrub and open microsites (<xref ref-type="fig" rid="f4"><bold>Figure&#xa0;4</bold></xref>; PERMANOVA, F<sub>2</sub> = 0.2553, R<sup>2</sup> = 0.0294, p &#x2013; value = 0.6184). The composition of vertebrate species communities significantly differed across various sites (<xref ref-type="fig" rid="f5"><bold>Figure&#xa0;5</bold></xref>; PERMANOVA, F<sub>2</sub> = 3.736, R<sup>2</sup> = 0.0184, p-value = 0.0409) with Carrizo sites having a significantly different community composition than Tecopa sites (<xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Figure S3</bold></xref>; Observed p-value = 0.0166). Removal of <italic>Dipodomys heermanni</italic> observations resulted in no significant differences in vertebrate community composition (F<sub>2</sub> = 0.975, R<sup>2</sup> = 0.0191, p-value = 0.3938).</p>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>The relative percent proportion of vertebrate species observations across shrub and open microsites across arid ecosystems within Southern California. X-axis displays the percent proportion (%) of individuals at both shrub and open microsites. Y-axis displays the scientific names of each observed individual during both the 2022 and 2023 field seasons. More details on each species can be found in the <xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Table S3</bold></xref>.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fevo-13-1648121-g004.tif">
<alt-text content-type="machine-generated">Bar chart showing the percent proportion of observations for species across three categories: Aves, Mammalia, and Reptilia. Each category displays species with observations in two microsites, open (blue) and shrub (green). Aves species show varied distributions, with some predominantly in shrub. Mammalia species mostly favor shrub. Reptilia species are almost entirely observed in shrub, except for Gambelia sila with a small open observation.</alt-text>
</graphic>
</fig>
<fig id="f5" position="float">
<label>Figure&#xa0;5</label>
<caption>
<p>PCOA figure displaying the relative similarity in community composition across a shrub density gradient. Data were combined from camera traps used in 2022 and 2023 field seasons then split by microsite to display the similarities between community compositions.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fevo-13-1648121-g005.tif">
<alt-text content-type="machine-generated">Scatter plot showing community composition against the shrub density gradient. Blue and green dots represent open and shrub microsites, respectively. Numbers label the data points. A dense cluster of green dots appears at the top right, and a mix of blue and green dots are spread across the plot. A legend identifies the colors for microsites.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3_4">
<title>Site-level shrub density and aridity effects</title>
<p>In 2022, vertebrate observations and evenness significantly increased with higher total site-level shrub density, while in 2023, only vertebrate observations significantly increased (<xref ref-type="table" rid="T2"><bold>Table&#xa0;2</bold></xref>). In 2022, vertebrate observations and richness increased at higher aridity sites while evenness was unaffected (<xref ref-type="fig" rid="f6"><bold>Figure&#xa0;6</bold></xref>; <xref ref-type="table" rid="T2"><bold>Table&#xa0;2</bold></xref>). In 2023, only vertebrate observations significantly decreased at higher aridity ecosystems (<xref ref-type="fig" rid="f6"><bold>Figure&#xa0;6</bold></xref>; <xref ref-type="table" rid="T2"><bold>Table&#xa0;2</bold></xref>).</p>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Analysis of site-level vertebrate observations, richness, and evenness from general linear mixed model for study period with shrub density and aridity as factors.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">Year</th>
<th valign="middle" align="left">Factor</th>
<th valign="middle" align="left">Variable</th>
<th valign="middle" align="left">df</th>
<th valign="middle" align="left">Deviance</th>
<th valign="middle" align="left">Residual df</th>
<th valign="middle" align="left">Residual deviance</th>
<th valign="middle" align="left">p-value</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" rowspan="12" align="left">2022</td>
<td valign="top" rowspan="4" align="left">Observations</td>
<td valign="middle" align="left">Null</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left">5</td>
<td valign="middle" align="left">3253.5</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">Shrub Density</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left">11.48</td>
<td valign="middle" align="left">4</td>
<td valign="middle" align="left">3242.1</td>
<td valign="middle" align="left"><bold>&lt; 0.001</bold></td>
</tr>
<tr>
<td valign="middle" align="left">Aridity</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left">2538.28</td>
<td valign="middle" align="left">3</td>
<td valign="middle" align="left">703.7</td>
<td valign="middle" align="left"><bold>&lt; 0.001</bold></td>
</tr>
<tr>
<td valign="middle" align="left">Shrub Density * Aridity</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left">463.85</td>
<td valign="middle" align="left">2</td>
<td valign="middle" align="left">0239.9</td>
<td valign="middle" align="left"><bold>&lt; 0.001</bold></td>
</tr>
<tr>
<td valign="top" rowspan="4" align="left">Richness</td>
<td valign="middle" align="left">Null</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left">5</td>
<td valign="middle" align="left">21.7887</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">Shrub Density</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left">1.5749</td>
<td valign="middle" align="left">4</td>
<td valign="middle" align="left">20.2139</td>
<td valign="middle" align="left">0.2095</td>
</tr>
<tr>
<td valign="middle" align="left">Aridity</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left">16.2061</td>
<td valign="middle" align="left">3</td>
<td valign="middle" align="left">3.9538</td>
<td valign="middle" align="left"><bold>&lt; 0.001</bold></td>
</tr>
<tr>
<td valign="middle" align="left">Shrub Density * Aridity</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left">0.4082</td>
<td valign="middle" align="left">2</td>
<td valign="middle" align="left">3.5456</td>
<td valign="middle" align="left">0.5229</td>
</tr>
<tr>
<td valign="top" rowspan="4" align="left">Evenness</td>
<td valign="middle" align="left">Null</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left">5</td>
<td valign="middle" align="left">0.2158</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">Shrub Density</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left">0.12326</td>
<td valign="middle" align="left">4</td>
<td valign="middle" align="left">0.0926</td>
<td valign="middle" align="left"><bold>&lt; 0.003</bold></td>
</tr>
<tr>
<td valign="middle" align="left">Aridity</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left">0.04824</td>
<td valign="middle" align="left">3</td>
<td valign="middle" align="left">0.0444</td>
<td valign="middle" align="left">0.0709</td>
</tr>
<tr>
<td valign="middle" align="left">Shrub Density * Aridity</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left">0.02502</td>
<td valign="middle" align="left">2</td>
<td valign="middle" align="left">0.0193</td>
<td valign="middle" align="left">0.1078</td>
</tr>
<tr>
<td valign="top" rowspan="12" align="left">2023</td>
<td valign="top" rowspan="4" align="left">Observations</td>
<td valign="middle" align="left">Null</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left">5</td>
<td valign="middle" align="left">147.90</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">Shrub Density</td>
<td valign="middle" align="left">2</td>
<td valign="middle" align="left">56.357</td>
<td valign="middle" align="left">4</td>
<td valign="middle" align="left">91.54</td>
<td valign="middle" align="left"><bold>&lt; 0.001</bold></td>
</tr>
<tr>
<td valign="middle" align="left">Aridity</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left">17.020</td>
<td valign="middle" align="left">3</td>
<td valign="middle" align="left">74.52</td>
<td valign="middle" align="left"><bold>&lt; 0.001</bold></td>
</tr>
<tr>
<td valign="middle" align="left">Shrub Density * Aridity</td>
<td valign="middle" align="left">2</td>
<td valign="middle" align="left">74.520</td>
<td valign="middle" align="left">2</td>
<td valign="middle" align="left">0</td>
<td valign="middle" align="left"><bold>&lt; 0.001</bold></td>
</tr>
<tr>
<td valign="top" rowspan="4" align="left">Richness</td>
<td valign="middle" align="left">Null</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left">5</td>
<td valign="middle" align="left">5.2135</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">Shrub Density</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left">2.278</td>
<td valign="middle" align="left">4</td>
<td valign="middle" align="left">2.9738</td>
<td valign="middle" align="left">0.1345</td>
</tr>
<tr>
<td valign="middle" align="left">Aridity</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left">3.827</td>
<td valign="middle" align="left">3</td>
<td valign="middle" align="left">2.7295</td>
<td valign="middle" align="left">0.6212</td>
</tr>
<tr>
<td valign="middle" align="left">Shrub Density * Aridity</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left">0.008</td>
<td valign="middle" align="left">2</td>
<td valign="middle" align="left">2.7211</td>
<td valign="middle" align="left">0.9269</td>
</tr>
<tr>
<td valign="top" rowspan="4" align="left">Evenness</td>
<td valign="middle" align="left">Null</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left">5</td>
<td valign="middle" align="left">0.0823</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">Shrub Density</td>
<td valign="middle" align="left">2</td>
<td valign="middle" align="left">0.0169</td>
<td valign="middle" align="left">4</td>
<td valign="middle" align="left">0.0652</td>
<td valign="middle" align="left">0.6728</td>
</tr>
<tr>
<td valign="middle" align="left">Aridity</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left">0.0225</td>
<td valign="middle" align="left">3</td>
<td valign="middle" align="left">0.0427</td>
<td valign="middle" align="left">0.3048</td>
</tr>
<tr>
<td valign="middle" align="left">Shrub Density * Aridity</td>
<td valign="middle" align="left">2</td>
<td valign="middle" align="left">0.0427</td>
<td valign="middle" align="left">2</td>
<td valign="middle" align="left">0</td>
<td valign="middle" align="left">0.7845</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Model selection was determined by comparing AIC scores of linear and nonlinear models (See <xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Table S2</bold></xref>). All p-values displaying significance (p &lt; 0.05) are indicated in bold.</p></fn>
</table-wrap-foot>
</table-wrap>
<fig id="f6" position="float">
<label>Figure&#xa0;6</label>
<caption>
<p>The relative effects of aridity across various arid sites within Southern California. Data were collected from weather stations located near each site. 2022 and 2023 field seasons were split by year to display the variation in vertebrate community measurements including Observed Animals, Richness, and Evenness. Shaded regions indicate a 95% confidence interval.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fevo-13-1648121-g006.tif">
<alt-text content-type="machine-generated">Six line graphs compare data from 2022 and 2023. The top row shows &#x201c;Observed Animals&#x201d; versus &#x201c;Aridity,&#x201d; with a positive trend for 2022 and a slight decline for 2023. The middle row depicts &#x201c;Richness,&#x201d; showing increasing trends for both years. The bottom row displays &#x201c;Evenness,&#x201d; with a slight decrease in 2022 and a curved pattern in 2023. Gray shaded areas indicate variability.</alt-text>
</graphic>
</fig>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<title>Discussion</title>
<p>In this study, we examined the effects shrub densities on the vertebrate community composition, individual observations, species richness, and evenness across ecosystems within Southern California. We found support for the hypothesis that increasing shrub density will positively influence vertebrate communities across ecosystems within Southern California. Shrub density positively influenced the observations and richness of vertebrate species. Fine-scale temperatures had a significant negative impact on individual observations and species richness in 2022 and a negative influence on individual observations and evenness in 2023. Sites were significantly more arid in 2022 than in 2023. Community compositions significantly varied between shrubs and open microsites, suggesting that shrubs promote vertebrate communities. Individual vertebrate observations and species richness decreased at sites with lower aridity scores in 2022, while only individual observations decreased at more arid sites in 2023.</p>
<p>In this study, we found that shrub density positively influences animal vertebrate communities. Structural resources, both artificial and natural, are critical in studies that not only observe individual associations, but also measure key structural components of an ecosystem. Globally, foundational shrubs act as benefactor species (<xref ref-type="bibr" rid="B59">Ruttan et&#xa0;al., 2021</xref>) through temperature amelioration (<xref ref-type="bibr" rid="B24">Ivey et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B84">Zuliani et&#xa0;al., 2023a</xref>), production of seeds and other food sources (<xref ref-type="bibr" rid="B32">Lortie et&#xa0;al., 2020</xref>), and refuge from predation (<xref ref-type="bibr" rid="B15">Filazzola et&#xa0;al., 2017</xref>). However, the effects these foundational shrubs have on vertebrate communities may not have the same influence and can be context-dependent (<xref ref-type="bibr" rid="B66">Stanton et&#xa0;al., 2018</xref>). <italic>Ephedra californica</italic> provides these facilitative effects that are necessary functions for vertebrate species (<xref ref-type="bibr" rid="B78">Westphal et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B83">Zuliani et&#xa0;al., 2021</xref>). Smaller vertebrate species including <italic>Dipodomys heermanni</italic>, <italic>Gambelia sila</italic>, and <italic>Ammospermophilus leucurus</italic>, utilize these shrubs to reduce predator-prey interactions (<xref ref-type="bibr" rid="B31">Longland and Dimitri, 2021</xref>). Species that are reliant on these positive interactions tend to be in locations where ecological resources, including shrub density and cover, are readily accessible and abundant (<xref ref-type="bibr" rid="B84">Zuliani et&#xa0;al., 2023a</xref>). For instance, <italic>Gambelia sila</italic>, the Blunt-nosed Leopard Lizard, is known to use areas of high shrub density and cover to aid in thermoregulation (<xref ref-type="bibr" rid="B24">Ivey et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B35">Lortie et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B86">Zuliani et&#xa0;al., 2023b</xref>). Other desert species, such as <italic>Dipodomys ingens</italic> (the Giant Kangaroo Rat) and <italic>Lepus californicus</italic> (the Black-Tailed Jack Rabbit), utilize these shrubs not only for cooling but for foraging and protection from predation (<xref ref-type="bibr" rid="B27">Johnson and Anderson, 1984</xref>; <xref ref-type="bibr" rid="B52">Prugh and Brashares, 2010</xref>). However, as shrub densities increase, the effects of shrub encroachment may become more prevalent. This increase in shrub density will reconvert these ecosystems into shrublands (Browning 2008), while also enhancing ecosystem functioning through the reduction of desertification and microclimatic buffering (<xref ref-type="bibr" rid="B13">Eldridge and Soliveres, 2014</xref>; <xref ref-type="bibr" rid="B15">Filazzola et&#xa0;al., 2017</xref>). However, the effects these shrubs have are ecosystem specific, and have varying impacts on local animal communities. Understanding the importance of the direct interaction between these shrubs and local animal communities, across an increasing stress gradient, can provide insight into the local animal community composition and utilization of these shrubs.</p>
<p>The composition of these vertebrate communities, while not different between shrub and open microsites, did differ across sites in Southern California. This suggests that while our study sites have similar community compositions, the variation in their shrub density and temperature directly influences individual associations. Vertebrate species, such as <italic>Lepus californicus</italic>, while found at all tested sites, were much more frequently observed at Cuyama and the Carrizo Plain National Monument than in Tecopa. This suggests that while some species are able to inhabit multiple ecosystems, sites with more favorable conditions are likely to be more suitable and preferred (<xref ref-type="bibr" rid="B73">Vale and Brito, 2015</xref>). Several factors can cause this variation in community composition including elevation, temperature gradient, available vegetation, aridity, shrub cover and density, and water availability (<xref ref-type="bibr" rid="B41">Marengo and Bernasconi, 2015</xref>; <xref ref-type="bibr" rid="B77">Welles and Funk, 2021</xref>; <xref ref-type="bibr" rid="B25">Ivey et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B21">Hillier-Weltman et&#xa0;al., 2025</xref>). Previous studies found that kangaroo rat species like <italic>Dipodomys heermanni</italic> forage more actively in open areas than in woody shrub habitats, which initially appears to contrast with our findings that shrub density increases vertebrate observations (<xref ref-type="bibr" rid="B8">Daly et&#xa0;al., 1992</xref>; <xref ref-type="bibr" rid="B72">Upham and Hafner, 2013</xref>). However, this difference likely reflects the distinction between foraging behavior and overall habitat use, as our camera traps captured all vertebrate activities including sheltering and thermoregulation rather than just active foraging. Additionally, moonlight can significantly alter the activity and frequency of observations of these nocturnal rodent species (<xref ref-type="bibr" rid="B72">Upham and Hafner, 2013</xref>). The presence of moonlight may influence the foraging behavior and observations of kangaroo rat species as they shift their activity from open areas to those with more cover (<xref ref-type="bibr" rid="B79">White and Geluso, 2007</xref>). While our study did not measure moonlight, future studies could take this into consideration when assessing nocturnal animal community composition. Directly analyzing the differences in these communities, in combination with multiple factors that can influence community composition, could further explain not only the associations these vertebrate species have with foundational shrubs, but how the increasing aridity of Southern California deserts is altering these ecosystems.</p>
<p>Anthropogenically driven climatic events, specifically drought and temperature extremes, will continue to increase the aridity of ecosystems across Southern California, influencing both vertebrate community measures and composition. In this study, we found that increasing near-surface air temperatures reduced observations, richness, and evenness of vertebrate species. As these high temperatures become more prevalent and extreme, shelter via shrub canopies may be a crucial resource to mitigate these abiotic conditions (<xref ref-type="bibr" rid="B78">Westphal et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B24">Ivey et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B16">Gaudenti et&#xa0;al., 2021</xref>). Previous studies conducted within the Carrizo National Monument showed a higher frequency of shrub-animal association during peak hours of the day when temperatures reached their maximums (<xref ref-type="bibr" rid="B16">Gaudenti et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B83">Zuliani et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B25">Ivey et&#xa0;al., 2022</xref>), suggesting that temperature amelioration is a direct benefit to local vertebrate communities. These shrub canopies generate shade, reducing both near-surface air and soil temperatures within their microclimate, minimizing the risks of overheating (<xref ref-type="bibr" rid="B22">Huxman et&#xa0;al., 2004</xref>). The area underneath these shrubs provides more hospitable microclimates for vertebrate communities in an increasingly arid ecosystem. However, these climate extremes are increasing in intensity and are particularly driven by global warming, which is amplifying aridity through rising temperatures and altered precipitation patterns (<xref ref-type="bibr" rid="B7">Dai, 2013</xref>). These increasing temperatures and reduced water availability directly contribute to the increased frequency and severity of mega-drought events (<xref ref-type="bibr" rid="B28">Kogan and Guo, 2015</xref>; <xref ref-type="bibr" rid="B40">Mann and Gleick, 2015</xref>). Furthering the current understanding of how these increasingly harsh climatic events impact vertebrate community measurements and composition can provide substantial insight into both the management of these ecosystems as well as the preservation of these vertebrate communities.</p>
</sec>
<sec id="s5" sec-type="conclusions">
<title>Conclusions</title>
<p>Our study demonstrates that shrub density strongly and consistently influences vertebrate observations and richness across Southern California desert ecosystems, providing compelling evidence for facilitative interactions between foundational shrubs and vertebrate communities. Microsite-level shrub density emerged as a robust predictor of vertebrate activity, with positive effects across both study years despite varying climatic conditions. Conversely, increasing near-surface air temperatures consistently reduced vertebrate observations and richness, emphasizing the critical role of shrub-mediated thermal refugia in these arid systems. These findings have significant implications for desert conservation under accelerating climate change. As temperatures continue to rise and drought events intensify in Southern California, protecting shrub densities will be essential for maintaining vertebrate diversity and community stability. Our results suggest that conservation strategies should prioritize the preservation of foundational shrub species like <italic>E. californica</italic>, as they serve as key facilitators supporting vertebrate communities through multiple mechanisms including thermal buffering, predator refuge,&#xa0;and resource provisioning during increasingly harsh climatic conditions.</p>
</sec>
</body>
<back>
<sec id="s6" sec-type="data-availability">
<title>Data availability statement</title>
<p>The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found below: doi:10.5063/F1B856K9.</p>
</sec>
<sec id="s7" sec-type="author-contributions">
<title>Author contributions</title>
<p>MZ: Conceptualization, Data curation, Formal Analysis, Investigation, Methodology, Validation, Visualization, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. NG: Methodology, Visualization, Writing &#x2013; review &amp; editing. SM: Conceptualization, Methodology, Resources, Supervision, Validation, Visualization, Writing &#x2013; review &amp; editing. CL: Conceptualization, Data curation, Formal Analysis, Investigation, Methodology, Supervision, Validation, Visualization, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing.</p>
</sec>
<sec id="s9" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="s10" sec-type="ai-statement">
<title>Generative AI statement</title>
<p>The author(s) declare that no Generative AI was used in the creation of this manuscript.</p>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.</p>
</sec>
<sec id="s11" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<sec id="s12" sec-type="supplementary-material">
<title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fevo.2025.1648121/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fevo.2025.1648121/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="SupplementaryFile1.docx" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"/>
</sec>
<ref-list>
<title>References</title>
<ref id="B1">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Abella</surname> <given-names>S. R.</given-names></name>
<name><surname>Craig</surname> <given-names>D. J.</given-names></name>
<name><surname>Smith</surname> <given-names>S. D.</given-names></name>
<name><surname>Newton</surname> <given-names>A. C.</given-names></name>
</person-group> (<year>2012</year>). 
<article-title>Identifying native vegetation for reducing exotic species during the restoration of desert ecosystems</article-title>. <source>Restor. Ecol.</source> <volume>20</volume>, <fpage>781</fpage>&#x2013;<lpage>787</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1111/j.1526-100X.2011.00848.x</pub-id>
</mixed-citation>
</ref>
<ref id="B2">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Andersen</surname> <given-names>E. M.</given-names></name>
<name><surname>Steidl</surname> <given-names>R. J.</given-names></name>
</person-group> (<year>2019</year>). 
<article-title>Woody plant encroachment restructures bird communities in semiarid grasslands</article-title>. <source>Biol. Conserv.</source> <volume>240</volume>, <elocation-id>108276</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.biocon.2019.108276</pub-id>
</mixed-citation>
</ref>
<ref id="B3">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Ashcroft</surname> <given-names>M. B.</given-names></name>
</person-group> (<year>2018</year>). 
<article-title>Which is more biased: Standardized weather stations or microclimatic sensors</article-title>? <source>Ecol. Evol.</source> <volume>8</volume>, <fpage>5231</fpage>&#x2013;<lpage>5232</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1002/ece3.3965</pub-id>, PMID: <pub-id pub-id-type="pmid">29938045</pub-id>
</mixed-citation>
</ref>
<ref id="B4">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Braun</surname> <given-names>J.</given-names></name>
<name><surname>Westphal</surname> <given-names>M.</given-names></name>
<name><surname>Lortie</surname> <given-names>C. J.</given-names></name>
</person-group> (<year>2021</year>). 
<article-title>The shrub Ephedra californica facilitates arthropod communities along a regional desert climatic gradient</article-title>. <source>Ecosphere</source> <volume>12</volume>, <elocation-id>e03760</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.1002/ecs2.3760</pub-id>
</mixed-citation>
</ref>
<ref id="B5">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Browning</surname> <given-names>D. M.</given-names></name>
<name><surname>Archer</surname> <given-names>S. R.</given-names></name>
<name><surname>Asner</surname> <given-names>G. P.</given-names></name>
<name><surname>McClaran</surname> <given-names>M. P.</given-names></name>
<name><surname>Wessman</surname> <given-names>C. A.</given-names></name>
</person-group> (<year>2008</year>). 
<article-title>Woody plants in grasslands: post-encroachment stand dynamic</article-title>. <source>Ecol. Appl.</source> <volume>18</volume>, <fpage>928</fpage>&#x2013;<lpage>944</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1890/07-1559.1</pub-id>, PMID: <pub-id pub-id-type="pmid">18536253</pub-id>
</mixed-citation>
</ref>
<ref id="B6">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Callaway</surname> <given-names>R. M.</given-names></name>
<name><surname>D&#x2019;Antonio</surname> <given-names>C. M.</given-names></name>
</person-group> (<year>1991</year>). 
<article-title>Shrub facilitation of coast live oak establishment in central california</article-title>. <source>Madro&#xf1;o</source> <volume>38</volume>, <fpage>158</fpage>&#x2013;<lpage>169</lpage>. Available online at: <uri xlink:href="http://www.jstor.org/stable/41424857">http://www.jstor.org/stable/41424857</uri> (Accessed <date-in-citation content-type="access-date">September 27, 2023</date-in-citation>).
</mixed-citation>
</ref>
<ref id="B7">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Dai</surname> <given-names>A.</given-names></name>
</person-group> (<year>2013</year>). 
<article-title>Increasing drought under global warming in observations and models</article-title>. <source>Nat. Climate Change</source> <volume>3</volume>, <fpage>52</fpage>&#x2013;<lpage>58</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/nclimate1633</pub-id>
</mixed-citation>
</ref>
<ref id="B8">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Daly</surname> <given-names>M.</given-names></name>
<name><surname>Behrends</surname> <given-names>P. R.</given-names></name>
<name><surname>Wilson</surname> <given-names>M. I.</given-names></name>
<name><surname>Jacobs</surname> <given-names>L. F.</given-names></name>
</person-group> (<year>1992</year>). 
<article-title>Behavioural modulation of predation risk: Moonlight avoidance and crepuscular compensation in a nocturnal desert rodent, Dipodomys merriami</article-title>. <source>Anim. Behav.</source> <volume>44</volume>, <fpage>1</fpage>&#x2013;<lpage>9</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/S0003-3472(05)80748-1</pub-id>
</mixed-citation>
</ref>
<ref id="B9">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Dangles</surname> <given-names>O.</given-names></name>
<name><surname>Herrera</surname> <given-names>M.</given-names></name>
<name><surname>Carpio</surname> <given-names>C.</given-names></name>
<name><surname>Lortie</surname> <given-names>C. J.</given-names></name>
</person-group> (<year>2018</year>). 
<article-title>Facilitation costs and benefits function simultaneously on stress gradients for animals</article-title>. <source>Proc. R. Soc. B: Biol. Sci.</source> <volume>285</volume>, <fpage>20180983</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1098/rspb.2018.0983</pub-id>, PMID: <pub-id pub-id-type="pmid">30135157</pub-id>
</mixed-citation>
</ref>
<ref id="B10">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>De Souza</surname> <given-names>G. F.</given-names></name>
<name><surname>Ferreira</surname> <given-names>M. C.</given-names></name>
<name><surname>Munhoz</surname> <given-names>C. B. R.</given-names></name>
</person-group> (<year>2022</year>). 
<article-title>Decrease in species richness and diversity, and shrub encroachment in Cerrado grasslands: A 20 years study</article-title>. <source>Appl. Vegetation Sci.</source> <volume>25</volume>, <elocation-id>e12668</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.1111/avsc.12668</pub-id>
</mixed-citation>
</ref>
<ref id="B11">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Dorning</surname> <given-names>J.</given-names></name>
<name><surname>Harris</surname> <given-names>S.</given-names></name>
</person-group> (<year>2019</year>). 
<article-title>The challenges of recognising individuals with few distinguishing features: Identifying red foxes Vulpes vulpes from camera-trap photos</article-title>. <source>PloS One</source> <volume>14</volume>, <elocation-id>e0216531</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.1371/journal.pone.0216531</pub-id>, PMID: <pub-id pub-id-type="pmid">31071143</pub-id>
</mixed-citation>
</ref>
<ref id="B12">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Dray</surname> <given-names>S.</given-names></name>
<name><surname>Legendre</surname> <given-names>P.</given-names></name>
<name><surname>Peres-Neto</surname> <given-names>P. R.</given-names></name>
</person-group> (<year>2006</year>). 
<article-title>Spatial modelling: A comprehensive framework for principal coordinate analysis of neighbour matrices (PCNM)</article-title>. <source>Ecol. Model.</source> <volume>196</volume>, <fpage>483</fpage>&#x2013;<lpage>493</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.ecolmodel.2006.02.015</pub-id>
</mixed-citation>
</ref>
<ref id="B13">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Eldridge</surname> <given-names>D. J.</given-names></name>
<name><surname>Soliveres</surname> <given-names>S.</given-names></name>
</person-group> (<year>2014</year>). 
<article-title>Are shrubs really a sign of declining ecosystem function? Disentangling the myths and truths of woody encroachment in Australia</article-title>. <source>Aust. J. Bot.</source> <volume>62</volume>, <fpage>594</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1071/BT14137</pub-id>
</mixed-citation>
</ref>
<ref id="B14">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Ellison</surname> <given-names>A. M.</given-names></name>
</person-group> (<year>2019</year>). 
<article-title>Foundation species, non-trophic interactions, and the value of being common</article-title>. <source>IScience</source> <volume>13</volume>, <fpage>254</fpage>&#x2013;<lpage>268</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.isci.2019.02.020</pub-id>, PMID: <pub-id pub-id-type="pmid">30870783</pub-id>
</mixed-citation>
</ref>
<ref id="B15">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Filazzola</surname> <given-names>A.</given-names></name>
<name><surname>Westphal</surname> <given-names>M.</given-names></name>
<name><surname>Powers</surname> <given-names>M.</given-names></name>
<name><surname>Liczner</surname> <given-names>A. R.</given-names></name>
<name><surname>(Smith) Woollett</surname> <given-names>D. A.</given-names></name>
<name><surname>Johnson</surname> <given-names>B.</given-names></name>
<etal/>
</person-group>. (<year>2017</year>). 
<article-title>Non-trophic interactions in deserts: Facilitation, interference, and an endangered lizard species</article-title>. <source>Basic Appl. Ecol.</source> <volume>20</volume>, <fpage>51</fpage>&#x2013;<lpage>61</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.baae.2017.01.002</pub-id>
</mixed-citation>
</ref>
<ref id="B16">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Gaudenti</surname> <given-names>N.</given-names></name>
<name><surname>Nix</surname> <given-names>E.</given-names></name>
<name><surname>Maier</surname> <given-names>P.</given-names></name>
<name><surname>Westphal</surname> <given-names>M. F.</given-names></name>
<name><surname>Taylor</surname> <given-names>E. N.</given-names></name>
</person-group> (<year>2021</year>). 
<article-title>Habitat heterogeneity affects the thermal ecology of an endangered lizard</article-title>. <source>Ecol. Evol.</source> <volume>11</volume>, <fpage>14843</fpage>&#x2013;<lpage>14856</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1002/ece3.8170</pub-id>, PMID: <pub-id pub-id-type="pmid">34765145</pub-id>
</mixed-citation>
</ref>
<ref id="B17">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Gebremedhin</surname> <given-names>M. A.</given-names></name>
<name><surname>Kahsay</surname> <given-names>G. H.</given-names></name>
<name><surname>Fanta</surname> <given-names>H. G.</given-names></name>
</person-group> (<year>2018</year>). 
<article-title>Assessment of spatial distribution of aridity indices in Raya valley, northern Ethiopia</article-title>. <source>Appl. Water Sci.</source> <volume>8</volume>, <fpage>217</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1007/s13201-018-0868-6</pub-id>
</mixed-citation>
</ref>
<ref id="B18">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Germano</surname> <given-names>D. J.</given-names></name>
<name><surname>Rathbun</surname> <given-names>G. B.</given-names></name>
<name><surname>Saslaw</surname> <given-names>L. R.</given-names></name>
<name><surname>Cypher</surname> <given-names>B. L.</given-names></name>
<name><surname>Cypher</surname> <given-names>E. A.</given-names></name>
<name><surname>Vredenburgh</surname> <given-names>L. M.</given-names></name>
</person-group> (<year>2011</year>). 
<article-title>The San Joaquin Desert of California: Ecologically misunderstood and overlooked</article-title>. <source>Natural Areas J.</source> <volume>31</volume>, <fpage>138</fpage>&#x2013;<lpage>147</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.3375/043.031.0206</pub-id>
</mixed-citation>
</ref>
<ref id="B19">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Gols</surname> <given-names>R.</given-names></name>
<name><surname>Ojeda-Prieto</surname> <given-names>L. M.</given-names></name>
<name><surname>Li</surname> <given-names>K.</given-names></name>
<name><surname>van der Putten</surname> <given-names>W. H.</given-names></name>
<name><surname>Harvey</surname> <given-names>J. A.</given-names></name>
</person-group> (<year>2021</year>). 
<article-title>Within- patch and edge microclimates vary over a growing season and are amplified during a heatwave: Consequences for ectothermic insects</article-title>. <source>J. Thermal Biol.</source> <volume>99</volume>, <elocation-id>103006</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.jtherbio.2021.103006</pub-id>, PMID: <pub-id pub-id-type="pmid">34420636</pub-id>
</mixed-citation>
</ref>
<ref id="B20">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Hacker</surname> <given-names>S. D.</given-names></name>
<name><surname>Gaines</surname> <given-names>S. D.</given-names></name>
</person-group> (<year>1997</year>). 
<article-title>Some implications of direct positive interactions for community species diversity</article-title>. <source>Ecology</source> <volume>78</volume>, <fpage>1990</fpage>&#x2013;<lpage>2003</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1890/0012-9658(1997)078[1990:SIODPI]2.0.CO;2</pub-id>
</mixed-citation>
</ref>
<ref id="B21">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Hillier-Weltman</surname> <given-names>Z.</given-names></name>
<name><surname>Lortie</surname> <given-names>C.</given-names></name>
<name><surname>Zuliani</surname> <given-names>M.</given-names></name>
</person-group> (<year>2025</year>). 
<article-title>The influence of native shrub density on bird communities in the southern drylands of California, USA</article-title>. <source>BMC Ecol. Evol.</source> <volume>25</volume>, <fpage>63</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1186/s12862-025-02410-x</pub-id>, PMID: <pub-id pub-id-type="pmid">40596875</pub-id>
</mixed-citation>
</ref>
<ref id="B22">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Huxman</surname> <given-names>T. E.</given-names></name>
<name><surname>Snyder</surname> <given-names>K. A.</given-names></name>
<name><surname>Tissue</surname> <given-names>D.</given-names></name>
<name><surname>Leffler</surname> <given-names>A. J.</given-names></name>
<name><surname>Ogle</surname> <given-names>K.</given-names></name>
<name><surname>Pockman</surname> <given-names>W. T.</given-names></name>
<etal/>
</person-group>. (<year>2004</year>). 
<article-title>Precipitation pulses and carbon fluxes in semiarid and arid ecosystems</article-title>. <source>Oecologia</source> <volume>141</volume>, <fpage>254</fpage>&#x2013;<lpage>268</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1007/s00442-004-1682-4</pub-id>, PMID: <pub-id pub-id-type="pmid">15338414</pub-id>
</mixed-citation>
</ref>
<ref id="B23">
<mixed-citation publication-type="web">
<person-group person-group-type="author"><collab>iNaturalist</collab>
</person-group>. Available online at: <uri xlink:href="https://www.inaturalist.org">https://www.inaturalist.org</uri>.
</mixed-citation>
</ref>
<ref id="B24">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Ivey</surname> <given-names>K. N.</given-names></name>
<name><surname>Cornwall</surname> <given-names>M.</given-names></name>
<name><surname>Crowell</surname> <given-names>H.</given-names></name>
<name><surname>Ghazian</surname> <given-names>N.</given-names></name>
<name><surname>Nix</surname> <given-names>E.</given-names></name>
<name><surname>Owen</surname> <given-names>M.</given-names></name>
<etal/>
</person-group>. (<year>2020</year>). 
<article-title>Thermal ecology of the federally endangered blunt-nosed leopard lizard (Gambelia sila)</article-title>. <source>Conserv. Physiol.</source> <volume>8</volume>, <elocation-id>coaa014</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.1093/conphys/coaa014</pub-id>, PMID: <pub-id pub-id-type="pmid">33649711</pub-id>
</mixed-citation>
</ref>
<ref id="B25">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Ivey</surname> <given-names>K. N.</given-names></name>
<name><surname>Cornwall</surname> <given-names>M. B.</given-names></name>
<name><surname>Gaudenti</surname> <given-names>N.</given-names></name>
<name><surname>Maier</surname> <given-names>P. H.</given-names></name>
<name><surname>Ghazian</surname> <given-names>N.</given-names></name>
<name><surname>Owen</surname> <given-names>M.</given-names></name>
<etal/>
</person-group>. (<year>2022</year>). 
<article-title>Temperature-based activity estimation accurately predicts surface activity, but not microhabitat use, in the Endangered heliothermic lizard Gambelia sila</article-title>. <source>Amphib. Reptile Conserv.</source> <volume>16</volume>, <fpage>25</fpage>&#x2013;<lpage>34</lpage>.
</mixed-citation>
</ref>
<ref id="B26">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>James</surname> <given-names>R. S.</given-names></name>
<name><surname>Tallis</surname> <given-names>J.</given-names></name>
</person-group> (<year>2019</year>). 
<article-title>The likely effects of thermal climate change on vertebrate skeletal muscle mechanics with possible consequences for animal movement and behaviour</article-title>. <source>Conserv. Physiol.</source> <volume>7</volume>, <elocation-id>coz066</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.1093/conphys/coz066</pub-id>, PMID: <pub-id pub-id-type="pmid">31687144</pub-id>
</mixed-citation>
</ref>
<ref id="B27">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Johnson</surname> <given-names>R. D.</given-names></name>
<name><surname>Anderson</surname> <given-names>J. E.</given-names></name>
</person-group> (<year>1984</year>). 
<article-title>Diets of black-tailed jack rabbits in relation to population density and vegetation</article-title>. <source>J. Range Manage.</source> <volume>37</volume>, <fpage>79</fpage>&#x2013;<lpage>83</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.2307/3898830</pub-id>
</mixed-citation>
</ref>
<ref id="B28">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Kogan</surname> <given-names>F.</given-names></name>
<name><surname>Guo</surname> <given-names>W.</given-names></name>
</person-group> (<year>2015</year>). 
<article-title>2006&#x2013;2015 mega-drought in the western USA and its monitoring from space data</article-title>. <source>Geomatics Natural Hazards Risk</source> <volume>6</volume>, <fpage>651</fpage>&#x2013;<lpage>668</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1080/19475705.2015.1079265</pub-id>
</mixed-citation>
</ref>
<ref id="B29">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Leorna</surname> <given-names>S.</given-names></name>
<name><surname>Brinkman</surname> <given-names>T.</given-names></name>
</person-group> (<year>2024</year>). 
<article-title>Camera trap sampling protocols for open landscapes: The value of time-lapse imagery</article-title>. <source>Conserv. Sci. Pract.</source> <volume>6</volume>, <fpage>e13094</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1111/csp2.13094</pub-id>
</mixed-citation>
</ref>
<ref id="B30">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Lepard</surname> <given-names>C. C.</given-names></name>
<name><surname>Moll</surname> <given-names>R. J.</given-names></name>
<name><surname>Cepek</surname> <given-names>J. D.</given-names></name>
<name><surname>Lorch</surname> <given-names>P. D.</given-names></name>
<name><surname>Dennis</surname> <given-names>P. M.</given-names></name>
<name><surname>Robison</surname> <given-names>T.</given-names></name>
<etal/>
</person-group>. (<year>2018</year>). 
<article-title>The influence of the delay-period setting on camera-trap data storage, wildlife detections and occupancy models</article-title>. <source>Wildlife Res.</source> <volume>46</volume>, <fpage>37</fpage>&#x2013;<lpage>53</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1071/WR17181</pub-id>
</mixed-citation>
</ref>
<ref id="B31">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Longland</surname> <given-names>W. S.</given-names></name>
<name><surname>Dimitri</surname> <given-names>L. A.</given-names></name>
</person-group> (<year>2021</year>). 
<article-title>Kangaroo rats: Ecosystem engineers on western rangelands</article-title>. <source>Rangelands</source> <volume>43</volume>, <fpage>72</fpage>&#x2013;<lpage>80</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.rala.2020.10.004</pub-id>
</mixed-citation>
</ref>
<ref id="B32">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Lortie</surname> <given-names>C. J.</given-names></name>
<name><surname>Braun</surname> <given-names>J.</given-names></name>
<name><surname>Westphal</surname> <given-names>M.</given-names></name>
<name><surname>Noble</surname> <given-names>T.</given-names></name>
<name><surname>Zuliani</surname> <given-names>M.</given-names></name>
<name><surname>Nix</surname> <given-names>E.</given-names></name>
<etal/>
</person-group>. (<year>2020</year>). 
<article-title>Shrub and vegetation cover predict resource selection use by an endangered species of desert lizard</article-title>. <source>Sci. Rep.</source> <volume>10</volume>, <fpage>4884</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/s41598-020-61880-9</pub-id>, PMID: <pub-id pub-id-type="pmid">32184467</pub-id>
</mixed-citation>
</ref>
<ref id="B33">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Lortie</surname> <given-names>C. J.</given-names></name>
<name><surname>Filazzola</surname> <given-names>A.</given-names></name>
<name><surname>Sotomayor</surname> <given-names>D. A.</given-names></name>
</person-group> (<year>2016</year>). 
<article-title>Functional assessment of animal interactions with shrub-facilitation complexes: A formal synthesis and conceptual framework</article-title>. <source>Funct. Ecol.</source> <volume>30</volume>, <fpage>41</fpage>&#x2013;<lpage>51</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1111/1365-2435.12530</pub-id>
</mixed-citation>
</ref>
<ref id="B34">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Lortie</surname> <given-names>C. J.</given-names></name>
<name><surname>Gruber</surname> <given-names>E.</given-names></name>
<name><surname>Filazzola</surname> <given-names>A.</given-names></name>
<name><surname>Noble</surname> <given-names>T.</given-names></name>
<name><surname>Westphal</surname> <given-names>M.</given-names></name>
</person-group> (<year>2018</year>). 
<article-title>The Groot Effect: Plant facilitation and desert shrub regrowth following extensive damage</article-title>. <source>Ecol. Evol.</source> <volume>8</volume>, <fpage>706</fpage>&#x2013;<lpage>715</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1002/ece3.3671</pub-id>, PMID: <pub-id pub-id-type="pmid">29321907</pub-id>
</mixed-citation>
</ref>
<ref id="B35">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Lortie</surname> <given-names>C. J.</given-names></name>
<name><surname>Zuliani</surname> <given-names>M.</given-names></name>
<name><surname>Ghazian</surname> <given-names>N.</given-names></name>
<name><surname>Haas</surname> <given-names>S.</given-names></name>
<name><surname>Braun</surname> <given-names>J.</given-names></name>
<name><surname>Owen</surname> <given-names>M.</given-names></name>
<etal/>
</person-group>. (<year>2021</year>). 
<article-title>Too much of a good thing: Shrub benefactors are less important in higher diversity arid ecosystems</article-title>. <source>J. Ecol.</source> <volume>109</volume>, <fpage>1365</fpage>&#x2013;<lpage>2745.13596</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1111/1365-2745.13596</pub-id>
</mixed-citation>
</ref>
<ref id="B36">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Losapio</surname> <given-names>G.</given-names></name>
<name><surname>De Moraes</surname> <given-names>C. M.</given-names></name>
<name><surname>Nickels</surname> <given-names>V.</given-names></name>
<name><surname>Tscheulin</surname> <given-names>T.</given-names></name>
<name><surname>Zouros</surname> <given-names>N.</given-names></name>
<name><surname>Mescher</surname> <given-names>M. C.</given-names></name>
</person-group> (<year>2024</year>). 
<article-title>The effects of shrub encroachment on arthropod communities depend on grazing history</article-title>. <source>Global Ecol. Conserv.</source> <volume>50</volume>, <elocation-id>e02819</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.gecco.2024.e02819</pub-id>
</mixed-citation>
</ref>
<ref id="B37">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Lucero</surname> <given-names>J. E.</given-names></name>
<name><surname>Filazzola</surname> <given-names>A.</given-names></name>
<name><surname>Callaway</surname> <given-names>R. M.</given-names></name>
<name><surname>Braun</surname> <given-names>J.</given-names></name>
<name><surname>Ghazian</surname> <given-names>N.</given-names></name>
<name><surname>Haas</surname> <given-names>S.</given-names></name>
<etal/>
</person-group>. (<year>2022</year>). 
<article-title>Increasing global aridity destabilizes shrub facilitation of exotic but not native plant species</article-title>. <source>Global Ecol. Conserv.</source> <volume>40</volume>, <elocation-id>e02345</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.gecco.2022.e02345</pub-id>
</mixed-citation>
</ref>
<ref id="B38">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Lucero</surname> <given-names>J. E.</given-names></name>
<name><surname>Seifan</surname> <given-names>M.</given-names></name>
<name><surname>Callaway</surname> <given-names>R. M.</given-names></name>
<name><surname>Lortie</surname> <given-names>C. J.</given-names></name>
</person-group> (<year>2020</year>). 
<article-title>Positive associations with native shrubs are intense and important for an exotic invader but not the native annual community across an aridity gradient</article-title>. <source>Diversity Distributions</source> <volume>26</volume>, <fpage>1177</fpage>&#x2013;<lpage>1197</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1111/ddi.13111</pub-id>
</mixed-citation>
</ref>
<ref id="B39">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>L&#xfc;decke</surname> <given-names>D.</given-names></name>
<name><surname>Ben-Shachar</surname> <given-names>M.</given-names></name>
<name><surname>Patil</surname> <given-names>I.</given-names></name>
<name><surname>Waggoner</surname> <given-names>P.</given-names></name>
<name><surname>Makowski</surname> <given-names>D.</given-names></name>
</person-group> (<year>2021</year>). 
<article-title>performance: an R package for assessment, comparison and testing of statistical models</article-title>. <source>J. Open Source Software</source> <volume>6</volume>, <elocation-id>3139</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.21105/joss.03139</pub-id>
</mixed-citation>
</ref>
<ref id="B40">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Mann</surname> <given-names>M. E.</given-names></name>
<name><surname>Gleick</surname> <given-names>P. H.</given-names></name>
</person-group> (<year>2015</year>). 
<article-title>Climate change and California drought in the 21st century</article-title>. <source>Proc. Natl. Acad. Sci.</source> <volume>112</volume>, <fpage>3858</fpage>&#x2013;<lpage>3859</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1073/pnas.1503667112</pub-id>, PMID: <pub-id pub-id-type="pmid">25829537</pub-id>
</mixed-citation>
</ref>
<ref id="B41">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Marengo</surname> <given-names>J. A.</given-names></name>
<name><surname>Bernasconi</surname> <given-names>M.</given-names></name>
</person-group> (<year>2015</year>). 
<article-title>Regional differences in aridity/drought conditions over Northeast Brazil: Present state and future projections</article-title>. <source>Climatic Change</source> <volume>129</volume>, <fpage>103</fpage>&#x2013;<lpage>115</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1007/s10584-014-1310-1</pub-id>
</mixed-citation>
</ref>
<ref id="B42">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Mashintonio</surname> <given-names>A. F.</given-names></name>
<name><surname>Harris</surname> <given-names>G. M.</given-names></name>
<name><surname>Stewart</surname> <given-names>D. R.</given-names></name>
<name><surname>Butler</surname> <given-names>M. J.</given-names></name>
<name><surname>Sanderson</surname> <given-names>J.</given-names></name>
<name><surname>Russell</surname> <given-names>G.</given-names></name>
</person-group> (<year>2022</year>). 
<article-title>Estimating species richness with camera traps: Modeling the effects of delay period, deployment length, number of sites, and interference imagery</article-title>. <source>Wildlife Soc. Bull.</source> <volume>46</volume>, <elocation-id>e1357</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.1002/wsb.1357</pub-id>
</mixed-citation>
</ref>
<ref id="B43">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>McCleery</surname> <given-names>R.</given-names></name>
<name><surname>Monadjem</surname> <given-names>A.</given-names></name>
<name><surname>Baiser</surname> <given-names>B.</given-names></name>
<name><surname>Fletcher</surname> <given-names>R.</given-names></name>
<name><surname>Vickers</surname> <given-names>K.</given-names></name>
<name><surname>Kruger</surname> <given-names>L.</given-names></name>
</person-group> (<year>2018</year>). 
<article-title>Animal diversity declines with broad-scale homogenization of canopy cover in African savannas</article-title>. <source>Biol. Conserv.</source> <volume>226</volume>, <fpage>54</fpage>&#x2013;<lpage>62</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.biocon.2018.07.020</pub-id>
</mixed-citation>
</ref>
<ref id="B44">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Milling</surname> <given-names>C. R.</given-names></name>
<name><surname>Rachlow</surname> <given-names>J. L.</given-names></name>
<name><surname>Olsoy</surname> <given-names>P. J.</given-names></name>
<name><surname>Chappell</surname> <given-names>M. A.</given-names></name>
<name><surname>Johnson</surname> <given-names>T. R.</given-names></name>
<name><surname>Forbey</surname> <given-names>J. S.</given-names></name>
<etal/>
</person-group>. (<year>2018</year>). 
<article-title>Habitat structure modifies microclimate: An approach for mapping fine-scale thermal refuge</article-title>. <source>Methods Ecol. Evol.</source> <volume>9</volume>, <fpage>1648</fpage>&#x2013;<lpage>1657</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1111/2041-210X.13008</pub-id>
</mixed-citation>
</ref>
<ref id="B45">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Moore</surname> <given-names>D.</given-names></name>
<name><surname>Stow</surname> <given-names>A.</given-names></name>
<name><surname>Kearney</surname> <given-names>M. R.</given-names></name>
</person-group> (<year>2018</year>). 
<article-title>Under the weather?&#x2014;The direct effects of climate warming on a threatened desert lizard are mediated by their activity phase and burrow system</article-title>. <source>J. Anim. Ecol.</source> <volume>87</volume>, <fpage>660</fpage>&#x2013;<lpage>671</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1111/1365-2656.12812</pub-id>, PMID: <pub-id pub-id-type="pmid">29446081</pub-id>
</mixed-citation>
</ref>
<ref id="B46">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Newbold</surname> <given-names>T.</given-names></name>
</person-group> (<year>2018</year>). 
<article-title>Future effects of climate and land-use change on terrestrial vertebrate community diversity under different scenarios</article-title>. <source>Proc. R. Soc. B: Biol. Sci.</source> <volume>285</volume>, <fpage>20180792</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1098/rspb.2018.0792</pub-id>, PMID: <pub-id pub-id-type="pmid">29925617</pub-id>
</mixed-citation>
</ref>
<ref id="B47">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Noble</surname> <given-names>T. J.</given-names></name>
<name><surname>Lortie</surname> <given-names>C. J.</given-names></name>
<name><surname>Westphal</surname> <given-names>M.</given-names></name>
<name><surname>Butterfield</surname> <given-names>H. S.</given-names></name>
</person-group> (<year>2016</year>). 
<article-title>A picture is worth a thousand data points: An imagery dataset of paired shrub-open microsites within the Carrizo Plain National Monument</article-title>. <source>GigaScience</source> <volume>5</volume>, <fpage>40</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1186/s13742-016-0145-2</pub-id>, PMID: <pub-id pub-id-type="pmid">27687002</pub-id>
</mixed-citation>
</ref>
<ref id="B48">
<mixed-citation publication-type="book">
<person-group person-group-type="author">
<name><surname>Oksanen</surname> <given-names>J.</given-names></name>
<name><surname>Simpson</surname> <given-names>G.</given-names></name>
<name><surname>Blanchet</surname> <given-names>F.</given-names></name>
<name><surname>Kindt</surname> <given-names>R.</given-names></name>
<name><surname>Legendre</surname> <given-names>P.</given-names></name>
<name><surname>Minchin</surname> <given-names>P.</given-names></name>
<etal/>
</person-group>. (<year>2022</year>). &#x201c;
<article-title>vegan: community ecology package</article-title>,&#x201d; in <source>R package version 2.6-4</source>. Available online at: <uri xlink:href="https://CRAN.R-project.org/package=vegan">https://CRAN.R-project.org/package=vegan</uri>.
</mixed-citation>
</ref>
<ref id="B49">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Owen</surname> <given-names>E.</given-names></name>
<name><surname>Zuliani</surname> <given-names>M.</given-names></name>
<name><surname>Goldgisser</surname> <given-names>M.</given-names></name>
<name><surname>Lortie</surname> <given-names>C.</given-names></name>
</person-group> (<year>2024</year>). 
<article-title>The importance of native shrubs on the distribution and diversity of reptiles and amphibians in the central drylands of Southwestern USA</article-title>. <source>Biodiversity Conserv.</source> <volume>33</volume>, <fpage>2131</fpage>&#x2013;<lpage>2151</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1007/s10531-024-02851-8</pub-id>
</mixed-citation>
</ref>
<ref id="B50">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Pike</surname> <given-names>D. A.</given-names></name>
<name><surname>Mitchell</surname> <given-names>J. C.</given-names></name>
</person-group> (<year>2013</year>). 
<article-title>Burrow-dwelling ecosystem engineers provide thermal refugia throughout the landscape</article-title>. <source>Anim. Conserv.</source> <volume>16</volume>, <fpage>694</fpage>&#x2013;<lpage>703</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1111/acv.12049</pub-id>
</mixed-citation>
</ref>
<ref id="B51">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Portet</surname> <given-names>S.</given-names></name>
</person-group> (<year>2020</year>). 
<article-title>A primer on model selection using the Akaike Information Criterion</article-title>. <source>Infect. Dis. Model.</source> <volume>5</volume>, <fpage>111</fpage>&#x2013;<lpage>128</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.idm.2019.12.010</pub-id>, PMID: <pub-id pub-id-type="pmid">31956740</pub-id>
</mixed-citation>
</ref>
<ref id="B52">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Prugh</surname> <given-names>L.</given-names></name>
<name><surname>Brashares</surname> <given-names>J.</given-names></name>
</person-group> (<year>2010</year>). 
<article-title>Basking in the moonlight? Effect of illumination on capture success of the endangered giant kangaroo rat</article-title>. <source>J. Mammalogy</source> <volume>91</volume>, <fpage>1205</fpage>&#x2013;<lpage>1212</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1644/10-MAMM-A-011.1</pub-id>
</mixed-citation>
</ref>
<ref id="B53">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Pugnaire</surname> <given-names>F. I.</given-names></name>
<name><surname>Haase</surname> <given-names>P.</given-names></name>
<name><surname>Puigdefabregas</surname> <given-names>J.</given-names></name>
</person-group> (<year>1996</year>). 
<article-title>Facilitation between higher plant species in a semiarid environment</article-title>. <source>Ecology</source> <volume>77</volume>, <fpage>1420</fpage>&#x2013;<lpage>1426</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.2307/2265539</pub-id>
</mixed-citation>
</ref>
<ref id="B54">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Rafiq</surname> <given-names>M.</given-names></name>
<name><surname>Cong Li</surname> <given-names>Y.</given-names></name>
<name><surname>Cheng</surname> <given-names>Y.</given-names></name>
<name><surname>Rahman</surname> <given-names>G.</given-names></name>
<name><surname>Zhao</surname> <given-names>Y.</given-names></name>
<name><surname>Khan</surname> <given-names>H. U.</given-names></name>
</person-group> (<year>2023</year>). 
<article-title>Estimation of regional meteorological aridity and drought characteristics in Baluchistan province, Pakistan</article-title>. <source>PloS One</source> <volume>18</volume>, <elocation-id>e0293073</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.1371/journal.pone.0293073</pub-id>, PMID: <pub-id pub-id-type="pmid">38033048</pub-id>
</mixed-citation>
</ref>
<ref id="B55">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Rahman</surname> <given-names>T.</given-names></name>
<name><surname>Candolin</surname> <given-names>U.</given-names></name>
</person-group> (<year>2022</year>). 
<article-title>Linking animal behavior to ecosystem change in disturbed environments</article-title>. <source>Front. Ecol. Evol.</source> <volume>10</volume>. doi:&#xa0;<pub-id pub-id-type="doi">10.3389/fevo.2022.893453</pub-id>
</mixed-citation>
</ref>
<ref id="B56">
<mixed-citation publication-type="book">
<person-group person-group-type="author"><collab>R Core Team</collab>
</person-group> (<year>2023</year>). &#x201c;
<article-title>_R: A language and environment for statistical computing_</article-title>,&#x201d; in <source>R foundation for statistical computing</source>(<publisher-loc>Vienna, Austria</publisher-loc>). Available online at: <uri xlink:href="https://www.R-project.org/">https://www.R-project.org/</uri>.
</mixed-citation>
</ref>
<ref id="B57">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Reynolds</surname> <given-names>J. F.</given-names></name>
<name><surname>Virginia</surname> <given-names>R. A.</given-names></name>
<name><surname>Kemp</surname> <given-names>P. R.</given-names></name>
<name><surname>Soyza</surname> <given-names>A. G. D.</given-names></name>
<name><surname>Tremmel</surname> <given-names>D. C.</given-names></name>
</person-group> (<year>1999</year>). 
<article-title>Impact of drought on desert shrubs: effects of seasonality and degree of resource island development</article-title>. <source>Ecol. Monogr.</source> <volume>69</volume>, <fpage>69</fpage>&#x2013;<lpage>106</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1890/0012-9615(1999)069[0069:IODODS]2.0.CO;2</pub-id>
</mixed-citation>
</ref>
<ref id="B58">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Riddell</surname> <given-names>E. A.</given-names></name>
<name><surname>Iknayan</surname> <given-names>K. J.</given-names></name>
<name><surname>Hargrove</surname> <given-names>L.</given-names></name>
<name><surname>Tremor</surname> <given-names>S.</given-names></name>
<name><surname>Patton</surname> <given-names>J. L.</given-names></name>
<name><surname>Ramirez</surname> <given-names>R.</given-names></name>
<etal/>
</person-group>. (<year>2021</year>). 
<article-title>Exposure to climate change drives stability or collapse of desert mammal and bird communities</article-title>. <source>Science</source> <volume>371</volume>, <fpage>633</fpage>&#x2013;<lpage>636</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1126/science.abd4605</pub-id>, PMID: <pub-id pub-id-type="pmid">33542137</pub-id>
</mixed-citation>
</ref>
<ref id="B59">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Ruttan</surname> <given-names>A.</given-names></name>
<name><surname>Lortie</surname> <given-names>C. J.</given-names></name>
<name><surname>Haas</surname> <given-names>S. M.</given-names></name>
</person-group> (<year>2021</year>). 
<article-title>Shrubs as magnets for pollination: A test of facilitation and reciprocity in a shrub-annual facilitation system</article-title>. <source>Curr. Res. Insect Sci.</source> <volume>1</volume>, <elocation-id>100008</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.cris.2021.100008</pub-id>, PMID: <pub-id pub-id-type="pmid">36003594</pub-id>
</mixed-citation>
</ref>
<ref id="B60">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Salido</surname> <given-names>C. A.</given-names></name>
<name><surname>Vicente</surname> <given-names>N. S.</given-names></name>
</person-group> (<year>2019</year>). 
<article-title>Sex and refuge distance influence escape decision in a Liolaemus lizard when it is approached by a terrestrial predator</article-title>. <source>Behaviour</source> <volume>156</volume>, <fpage>909</fpage>&#x2013;<lpage>925</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1163/1568539X-00003546</pub-id>
</mixed-citation>
</ref>
<ref id="B61">
<mixed-citation publication-type="book">
<person-group person-group-type="author">
<name><surname>Sawyer</surname> <given-names>J. O.</given-names></name>
<name><surname>Keeler-Wolf</surname> <given-names>T.</given-names></name>
<name><surname>Evens</surname> <given-names>J.</given-names></name>
</person-group> (<year>2009</year>). <source>A manual of California vegetation</source> (<publisher-loc>Sacaramento, Californica</publisher-loc>: 
<publisher-name>California Native Plant Society Press</publisher-name>). Available online at: <uri xlink:href="http://books.google.com/books?id=y40lAQAAMAAJ">http://books.google.com/books?id=y40lAQAAMAAJ</uri>.
</mixed-citation>
</ref>
<ref id="B62">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Schooley</surname> <given-names>R. L.</given-names></name>
<name><surname>Bestelmeyer</surname> <given-names>B. T.</given-names></name>
<name><surname>Campanella</surname> <given-names>A.</given-names></name>
</person-group> (<year>2018</year>). 
<article-title>Shrub encroachment, productivity pulses, and core-transient dynamics of Chihuahuan Desert rodents</article-title>. <source>Ecosphere</source> <volume>9</volume>, <elocation-id>e02330</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.1002/ecs2.2330</pub-id>
</mixed-citation>
</ref>
<ref id="B63">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Siciliano-Martina</surname> <given-names>L.</given-names></name>
<name><surname>Guerra</surname> <given-names>D. A.</given-names></name>
<name><surname>Veech</surname> <given-names>J. A.</given-names></name>
</person-group> (<year>2023</year>). 
<article-title>Forelimb morphology as an adaptation for burrowing in kangaroo rat species (genus Dipodomys) that inhabit different soil substrates</article-title>. <source>J. Mammalogy</source> <volume>104</volume>, <fpage>1377</fpage>&#x2013;<lpage>1389</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1093/jmammal/gyad092</pub-id>
</mixed-citation>
</ref>
<ref id="B64">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Sjoberg</surname> <given-names>D. E.</given-names></name>
<name><surname>Young</surname> <given-names>J. A.</given-names></name>
<name><surname>McAdoo</surname> <given-names>K.</given-names></name>
<name><surname>Evans</surname> <given-names>R. A.</given-names></name>
</person-group> (<year>1984</year>). 
<article-title>Kangaroo rats</article-title>. <source>Rangelands Arch.</source> <volume>6</volume>, <fpage>11</fpage>&#x2013;<lpage>13</lpage>.
</mixed-citation>
</ref>
<ref id="B65">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Springer</surname> <given-names>T. L.</given-names></name>
<name><surname>Dewald</surname> <given-names>C. L.</given-names></name>
<name><surname>Sims</surname> <given-names>P. L.</given-names></name>
<name><surname>Gillen</surname> <given-names>R. L.</given-names></name>
</person-group> (<year>2003</year>). 
<article-title>How does plant population density affect the forage yield of eastern gamagrass</article-title>? <source>Crop Sci.</source> <volume>43</volume>, <fpage>2206</fpage>&#x2013;<lpage>2211</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.2135/cropsci2003.2206</pub-id>
</mixed-citation>
</ref>
<ref id="B66">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Stanton</surname> <given-names>R. A.</given-names></name>
<name><surname>Boone</surname> <given-names>W. W.</given-names></name>
<name><surname>Soto-Shoender</surname> <given-names>J.</given-names></name>
<name><surname>Fletcher</surname> <given-names>R. J.</given-names></name>
<name><surname>Blaum</surname> <given-names>N.</given-names></name>
<name><surname>McCleery</surname> <given-names>R. A.</given-names></name>
</person-group> (<year>2018</year>). 
<article-title>Shrub encroachment and vertebrate diversity: A global meta-analysis</article-title>. <source>Global Ecol. Biogeography</source> <volume>27</volume>, <fpage>368</fpage>&#x2013;<lpage>379</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1111/geb.12675</pub-id>
</mixed-citation>
</ref>
<ref id="B67">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Stanton</surname> <given-names>R. A.</given-names></name>
<name><surname>Fletcher</surname> <given-names>R. J.</given-names></name>
<name><surname>Sibiya</surname> <given-names>M.</given-names></name>
<name><surname>Monadjem</surname> <given-names>A.</given-names></name>
<name><surname>McCleery</surname> <given-names>R. A.</given-names></name>
</person-group> (<year>2021</year>). 
<article-title>The effects of shrub encroachment on bird occupancy vary with land use in an African savanna</article-title>. <source>Anim. Conserv.</source> <volume>24</volume>, <fpage>194</fpage>&#x2013;<lpage>205</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1111/acv.12620</pub-id>
</mixed-citation>
</ref>
<ref id="B68">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Terando</surname> <given-names>A.</given-names></name>
<name><surname>Youngsteadt</surname> <given-names>E.</given-names></name>
<name><surname>Meineke</surname> <given-names>E.</given-names></name>
<name><surname>Prado</surname> <given-names>S.</given-names></name>
</person-group> (<year>2018</year>). 
<article-title>Accurate near surface air temperature measurements are necessary to gauge large-scale ecological responses to global climate change</article-title>. <source>Ecol. Evol.</source> <volume>8</volume>, <fpage>5233</fpage>&#x2013;<lpage>5234</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1002/ece3.3972</pub-id>, PMID: <pub-id pub-id-type="pmid">29938046</pub-id>
</mixed-citation>
</ref>
<ref id="B69">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Tews</surname> <given-names>J.</given-names></name>
<name><surname>Blaum</surname> <given-names>N.</given-names></name>
<name><surname>Jeltsch</surname> <given-names>F.</given-names></name>
</person-group> (<year>2004</year>). 
<article-title>Structural and animal species diversity in arid and semi-arid savannas of the southern Kalahari</article-title>. <source>Ann. Arid Zone</source> <volume>43</volume>, <fpage>413</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1046/j.0305-0270.2003.00994.x</pub-id>
</mixed-citation>
</ref>
<ref id="B70">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Tourani</surname> <given-names>M.</given-names></name>
<name><surname>Br&#xf8;ste</surname> <given-names>E. N.</given-names></name>
<name><surname>Bakken</surname> <given-names>S.</given-names></name>
<name><surname>Odden</surname> <given-names>J.</given-names></name>
<name><surname>Bischof</surname> <given-names>R.</given-names></name>
</person-group> (<year>2020</year>). 
<article-title>Sooner, closer, or longer: Detectability of mesocarnivores at camera traps</article-title>. <source>J. Zoology</source> <volume>312</volume>, <fpage>259</fpage>&#x2013;<lpage>270</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1111/jzo.12828</pub-id>
</mixed-citation>
</ref>
<ref id="B71">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Unger</surname> <given-names>S.</given-names></name>
<name><surname>Rollins</surname> <given-names>M.</given-names></name>
<name><surname>Tietz</surname> <given-names>A.</given-names></name>
<name><surname>Dumais</surname> <given-names>H.</given-names></name>
</person-group> (<year>2021</year>). 
<article-title>iNaturalist as an engaging tool for identifying organisms in outdoor activities</article-title>. <source>J. Biol. Educ.</source> <volume>55</volume>, <fpage>537</fpage>&#x2013;<lpage>547</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1080/00219266.2020.1739114</pub-id>
</mixed-citation>
</ref>
<ref id="B72">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Upham</surname> <given-names>N. S.</given-names></name>
<name><surname>Hafner</surname> <given-names>J. C.</given-names></name>
</person-group> (<year>2013</year>). 
<article-title>Do nocturnal rodents in the Great Basin Desert avoid moonlight</article-title>? <source>J. Mammalogy</source> <volume>94</volume>, <fpage>59</fpage>&#x2013;<lpage>72</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1644/12-MAMM-A-076.1</pub-id>
</mixed-citation>
</ref>
<ref id="B73">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Vale</surname> <given-names>C. G.</given-names></name>
<name><surname>Brito</surname> <given-names>J. C.</given-names></name>
</person-group> (<year>2015</year>). 
<article-title>Desert-adapted species are vulnerable to climate change: Insights from the warmest region on Earth</article-title>. <source>Global Ecol. Conserv.</source> <volume>4</volume>, <fpage>369</fpage>&#x2013;<lpage>379</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.gecco.2015.07.012</pub-id>
</mixed-citation>
</ref>
<ref id="B74">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Van Auken</surname> <given-names>O. W.</given-names></name>
</person-group> (<year>2009</year>). 
<article-title>Causes and consequences of woody plant encroachment into western North American grasslands</article-title>. <source>J. Environ. Manage.</source> <volume>90</volume>, <fpage>2931</fpage>&#x2013;<lpage>2942</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.jenvman.2009.04.023</pub-id>, PMID: <pub-id pub-id-type="pmid">19501450</pub-id>
</mixed-citation>
</ref>
<ref id="B75">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>V&#xe9;lez</surname> <given-names>J.</given-names></name>
<name><surname>McShea</surname> <given-names>W.</given-names></name>
<name><surname>Shamon</surname> <given-names>H.</given-names></name>
<name><surname>Castiblanco-Camacho</surname> <given-names>P. J.</given-names></name>
<name><surname>Tabak</surname> <given-names>M. A.</given-names></name>
<name><surname>Chalmers</surname> <given-names>C.</given-names></name>
<etal/>
</person-group>. (<year>2023</year>). 
<article-title>An evaluation of platforms for processing camera-trap data using artificial intelligence</article-title>. <source>Methods Ecol. Evol.</source> <volume>14</volume>, <fpage>459</fpage>&#x2013;<lpage>477</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1111/2041-210X.14044</pub-id>
</mixed-citation>
</ref>
<ref id="B76">
<mixed-citation publication-type="book">
<person-group person-group-type="author">
<name><surname>Walker</surname> <given-names>L. R.</given-names></name>
<name><surname>Landau</surname> <given-names>F. H.</given-names></name>
</person-group> (<year>2018</year>). &#x201c;
<article-title>Causes of aridity</article-title>,&#x201d; in <source>A natural history of the mojave desert</source> (
<publisher-name>The University of Arizona Press</publisher-name>), <fpage>17</fpage>&#x2013;<lpage>22</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.2307/j.ctt1zxsmnw.7</pub-id>
</mixed-citation>
</ref>
<ref id="B77">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Welles</surname> <given-names>S. R.</given-names></name>
<name><surname>Funk</surname> <given-names>J. L.</given-names></name>
</person-group> (<year>2021</year>). 
<article-title>Patterns of intraspecific trait variation along an aridity gradient suggest both drought escape and drought tolerance strategies in an invasive herb</article-title>. <source>Ann. Bot.</source> <volume>127</volume>, <fpage>461</fpage>&#x2013;<lpage>471</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1093/aob/mcaa173</pub-id>, PMID: <pub-id pub-id-type="pmid">32949134</pub-id>
</mixed-citation>
</ref>
<ref id="B78">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Westphal</surname> <given-names>M. F.</given-names></name>
<name><surname>Noble</surname> <given-names>T.</given-names></name>
<name><surname>Butterfield</surname> <given-names>H. S.</given-names></name>
<name><surname>Lortie</surname> <given-names>C. J.</given-names></name>
</person-group> (<year>2018</year>). 
<article-title>A test of desert shrub facilitation via radiotelemetric monitoring of a diurnal lizard</article-title>. <source>Ecol. Evol.</source> <volume>8</volume>, <fpage>12153</fpage>&#x2013;<lpage>12162</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1002/ece3.4673</pub-id>, PMID: <pub-id pub-id-type="pmid">30598807</pub-id>
</mixed-citation>
</ref>
<ref id="B79">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>White</surname> <given-names>J. A.</given-names></name>
<name><surname>Geluso</surname> <given-names>K.</given-names></name>
</person-group> (<year>2007</year>). 
<article-title>Seasonal differences in onset of surface activity of ord&#x2019;s kangaroo rat (Dipodomys ordii)</article-title>. <source>J. Mammalogy</source> <volume>88</volume>, <fpage>234</fpage>&#x2013;<lpage>240</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1644/05-MAMM-A-312R3.1</pub-id>
</mixed-citation>
</ref>
<ref id="B80">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Whitford</surname> <given-names>W. G.</given-names></name>
</person-group> (<year>1997</year>). 
<article-title>Desertification and animal biodiversity in the desert grasslands of North America</article-title>. <source>J. Arid Environments</source> <volume>37</volume>, <fpage>709</fpage>&#x2013;<lpage>720</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1006/jare.1997.0313</pub-id>
</mixed-citation>
</ref>
<ref id="B81">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Whitford</surname> <given-names>W. G.</given-names></name>
<name><surname>Steinberger</surname> <given-names>Y.</given-names></name>
</person-group> (<year>2020</year>). 
<article-title>Herbivory effects on ephedra spp. In the Chihuahuan Desert</article-title>. <source>Open J. Ecol.</source> <volume>10</volume>, <fpage>37</fpage>&#x2013;<lpage>44</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.4236/oje.2020.102003</pub-id>
</mixed-citation>
</ref>
<ref id="B82">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Zomer</surname> <given-names>R. J.</given-names></name>
<name><surname>Trabucco</surname> <given-names>A.</given-names></name>
<name><surname>Bossio</surname> <given-names>D. A.</given-names></name>
<name><surname>Verchot</surname> <given-names>L. V.</given-names></name>
</person-group> (<year>2008</year>). 
<article-title>Climate change mitigation: A spatial analysis of global land suitability for clean development mechanism afforestation and reforestation</article-title>. <source>Agriculture Ecosyst. Environ.</source> <volume>126</volume>, <fpage>67</fpage>&#x2013;<lpage>80</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.agee.2008.01.014</pub-id>
</mixed-citation>
</ref>
<ref id="B83">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Zuliani</surname> <given-names>M.</given-names></name>
<name><surname>Ghazian</surname> <given-names>N.</given-names></name>
<name><surname>Lortie</surname> <given-names>C. J.</given-names></name>
</person-group> (<year>2021</year>). 
<article-title>Shrub density effects on the community structure and composition of a desert animal community</article-title>. <source>Wildlife Biol.</source> <volume>2021</volume>, <fpage>1</fpage>&#x2013;<lpage>12</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.2981/wlb.00774</pub-id>
</mixed-citation>
</ref>
<ref id="B84">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Zuliani</surname> <given-names>M.</given-names></name>
<name><surname>Ghazian</surname> <given-names>N.</given-names></name>
<name><surname>Lortie</surname> <given-names>C. J.</given-names></name>
</person-group> (<year>2023</year>a). 
<article-title>A meta-analysis of shrub density as a predictor of animal abundance</article-title>. <source>Wildlife Biol.</source> <volume>2023</volume>, <elocation-id>e01042</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.1002/wlb3.01042</pub-id>
</mixed-citation>
</ref>
<ref id="B85">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Zuliani</surname> <given-names>M.</given-names></name>
<name><surname>Ghazian</surname> <given-names>N.</given-names></name>
<name><surname>lortie</surname> <given-names>C. J.</given-names></name>
</person-group> (<year>2024</year>). 
<article-title>Regional aridity of southern california ecosystems 2022/2023 (Version 2)</article-title>. <source>figshare</source>. doi:&#xa0;<pub-id pub-id-type="doi">10.6084/m9.figshare.25115357.v2</pub-id>
</mixed-citation>
</ref>
<ref id="B86">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Zuliani</surname> <given-names>M.</given-names></name>
<name><surname>Ghazian</surname> <given-names>N.</given-names></name>
<name><surname>Owen</surname> <given-names>M.</given-names></name>
<name><surname>Westphal</surname> <given-names>M. F.</given-names></name>
<name><surname>Butterfield</surname> <given-names>H. S.</given-names></name>
<name><surname>Lortie</surname> <given-names>C. J.</given-names></name>
</person-group> (<year>2023</year>b). 
<article-title>Shrub density effects on the presence of an endangered lizard of the Carrizo Plain National Monument, California</article-title>. <source>Ecol. Evol.</source> <volume>13</volume>, <elocation-id>e10128</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.1002/ece3.10128</pub-id>, PMID: <pub-id pub-id-type="pmid">37214602</pub-id>
</mixed-citation>
</ref>
</ref-list>
<fn-group>
<fn id="n1" fn-type="custom" custom-type="edited-by">
<p>Edited by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/425593">David Jack Coates</ext-link>, Conservation and Attractions (DBCA), Australia</p></fn>
<fn id="n2" fn-type="custom" custom-type="reviewed-by">
<p>Reviewed by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/931052">Linda Jane Walters</ext-link>, University of Central Florida, United States; <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/3126543">Charlotte Mills</ext-link>, UNSW Evolution and Ecology Research Centre, Australia</p></fn>
</fn-group>
</back>
</article>