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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Ecol. Evol.</journal-id>
<journal-title>Frontiers in Ecology and Evolution</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Ecol. Evol.</abbrev-journal-title>
<issn pub-type="epub">2296-701X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fevo.2023.1082226</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Ecology and Evolution</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Trait based niche differentiation in tetrakas (Bernieridae) endemic to Madagascar: A multi-isotope approach</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes"><name><surname>Yohannes</surname> <given-names>Elizabeth</given-names></name><xref rid="aff1" ref-type="aff"><sup>1</sup></xref><xref rid="aff2" ref-type="aff"><sup>2</sup></xref><xref rid="c001" ref-type="corresp"><sup>&#x002A;</sup></xref><xref rid="fn500" ref-type="author-notes"><sup>&#x2020;</sup></xref><xref rid="fn0001" ref-type="author-notes"><sup>
<xref rid="fn0001" ref-type="author-notes"><sup>&#x2021;</sup></xref></sup></xref><uri xlink:href="https://loop.frontiersin.org/people/1798256/overview"/>
</contrib>
<contrib contrib-type="author"><name><surname>Berthoud</surname> <given-names>Jean-Louis</given-names></name><xref rid="aff3" ref-type="aff"><sup>3</sup></xref><xref rid="fn0001" ref-type="author-notes"><sup>&#x2021;</sup></xref><uri xlink:href="https://loop.frontiersin.org/people/2073339/overview"/>
</contrib>
<contrib contrib-type="author"><name><surname>Woog</surname> <given-names>Friederike</given-names></name><xref rid="aff4" ref-type="aff"><sup>4</sup></xref><uri xlink:href="https://loop.frontiersin.org/people/2106100/overview"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Institute of Limnology, University of Konstanz</institution>, <addr-line>Konstanz</addr-line>, <country>Germany</country></aff>
<aff id="aff2"><sup>2</sup><institution>Swiss Ornithological Institute</institution>, <addr-line>Sempach</addr-line>, <country>Switzerland</country></aff>
<aff id="aff3"><sup>3</sup><institution>Faubourg de l'H&#x00F4;pital 58</institution>, <addr-line>Neuch&#x00E2;tel</addr-line>, <country>Switzerland</country></aff>
<aff id="aff4"><sup>4</sup><institution>Staatliches Museum f&#x00FC;r Naturkunde Stuttgart (SMNS)</institution>, <addr-line>Stuttgart</addr-line>, <country>Germany</country></aff>
<author-notes>
<fn id="fn0002" fn-type="edited-by">
<p>Edited by: Keith Alan Hobson, Western University, Canada</p>
</fn>
<fn id="fn0003" fn-type="edited-by">
<p>Reviewed by: Kevin John Kardynal, Environment and Climate Change Canada (ECCC), Canada; Steven Goodman, Field Museum of Natural History, United States</p>
</fn>
<corresp id="c001">&#x002A;Correspondence: Elizabeth Yohannes, <email>elizabeth.yohannes@vogelwarte.ch</email></corresp>
<fn id="fn500" fn-type="edited-by">
<p><sup>&#x2020;</sup>PRESENT ADDRESS: Elizabeth Yohannes, Swiss Ornithological Institute, Migration Uni, Sempach, Switzerland</p>
</fn>
<fn id="fn0001" fn-type="equal">
<p><sup>&#x2021;</sup>These authors share first authorship</p>
</fn>
<fn id="fn0004" fn-type="other">
<p>This article was submitted to Ecophysiology, a section of the journal Frontiers in Ecology and Evolution</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>17</day>
<month>04</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="collection">
<year>2023</year>
</pub-date>
<volume>11</volume>
<elocation-id>1082226</elocation-id>
<history>
<date date-type="received">
<day>28</day>
<month>10</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>13</day>
<month>03</month>
<year>2023</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2023 Yohannes, Berthoud and Woog.</copyright-statement>
<copyright-year>2023</copyright-year>
<copyright-holder>Yohannes, Berthoud and Woog</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). 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.</p>
</license>
</permissions>
<abstract>
<sec>
<title>Introduction</title>
<p>Tropical rainforest species interact with each other and their environment over a wide range of spatiotemporal scales. However, our understanding of resource partitioning and the mechanisms of avian species coexistence is largely restricted to subjective visual observations or acoustic monitoring. Therefore, the relative magnitudes of interspecific and intraspecific differences in resource use have remained difficult to quantify, particularly regarding different diets and habitat use. The eastern rainforest belt of Madagascar is inhabited by several species of insectivorous tetrakas belonging to an endemic bird family of Madagascar (Bernieridae). These species occupy similar habitats in the forest understory and are morphologically similar but because of likely differences (e.g., in foraging behaviors) we expect their foraging niches to be segregated allowing coexistence.</p>
</sec>
<sec>
<title>Methods</title>
<p>We examined the niche differentiation of four of these species: the Grey-crowned Tetraka (<italic>Xanthomixis cinereiceps</italic>), Long-billed Tetraka (<italic>Bernieria madagascariensis</italic>), Spectacled Tetraka (<italic>Xanthomixis zosterops</italic>), and White-throated Oxylabes (<italic>Oxylabes madagascariensis</italic>) in the Maromizaha rainforest in eastern Madagascar combining morphometry with stable carbon, nitrogen, and sulfur isotope ratios (&#x03B4;<sup>13</sup>C, &#x03B4;<sup>15</sup>N, and &#x03B4;<sup>34</sup>S) from feathers.</p>
</sec>
<sec>
<title>Results</title>
<p>We show considerable variation in isotopic niche positions, niche breadth and interspecific niche overlap. In two species, the Long-billed Tetraka and Spectacled Tetraka, we found an indication of sex-specific niche space, with males exhibiting a larger isotopic niche-area relative to females. Morphological traits of five species (including the Wedge-tailed Tetraka, <italic>Hartertula flavoviridis</italic>) coupled with stable isotope data provided explanations of patterns of niche overlap and isotopic position.</p>
</sec>
<sec>
<title>Discussion</title>
<p>The observed isotopic niche differences may be explained by differences in resource acquisition strategies that might be associated with specific morphological traits and spatial distribution. This may play an important role in niche differentiation among coexisting and phylogenetically closely related species.</p>
</sec>
</abstract>
<kwd-group>
<kwd>Bernieridae</kwd>
<kwd>morphometry</kwd>
<kwd>ecological niche</kwd>
<kwd>stable isotopes</kwd>
<kwd>stable carbon (&#x03B4;13C)</kwd>
<kwd>stable nitrogen (&#x03B4;15N) isotope</kwd>
<kwd>stable sulfur isotope</kwd>
<kwd>Madagascar</kwd>
</kwd-group>
<counts>
<fig-count count="6"/>
<table-count count="4"/>
<equation-count count="0"/>
<ref-count count="111"/>
<page-count count="14"/>
<word-count count="11457"/>
</counts>
</article-meta>
</front>
<body>
<sec id="sec1" sec-type="intro">
<title>Introduction</title>
<p>Despite the coexistence of phylogenetically closely related and morphologically similar species, niche theory suggests that a complete niche overlap may evolutionarily be unlikely (e.g., <xref ref-type="bibr" rid="ref45">Hutchinson, 1957</xref>; <xref ref-type="bibr" rid="ref39">Hardin, 1960</xref>). Coexisting species evolved varying forms of resource utilization, such as niche partitioning or niche differentiation (<xref ref-type="bibr" rid="ref59">Levins, 1968</xref>; <xref ref-type="bibr" rid="ref63">MacArthur, 1972</xref>), which have been widely used to explain coexistence patterns in community assemblages (<xref ref-type="bibr" rid="ref89">Schoener, 1974</xref>; <xref ref-type="bibr" rid="ref32">Giller, 1984</xref>; <xref ref-type="bibr" rid="ref84">Ross, 1986</xref>). Coexistence may occur due to segregation of specific resources (also known as resource partitioning) or through spatiotemporal variation in resource use (<xref ref-type="bibr" rid="ref69">Pianka, 1974</xref>; <xref ref-type="bibr" rid="ref89">Schoener, 1974</xref>; <xref ref-type="bibr" rid="ref84">Ross, 1986</xref>). In tropical forest bird assemblages, partitioning of dietary resources is one of the fundamental mechanisms of niche separation (e.g., <xref ref-type="bibr" rid="ref31">Frith, 1984</xref>; <xref ref-type="bibr" rid="ref93">Symes and Woodborne, 2010</xref>; <xref ref-type="bibr" rid="ref64">Mansor and Ramli, 2017</xref>; <xref ref-type="bibr" rid="ref65">Mansor et al., 2022</xref>). In line with the competitive exclusion principle (<xref ref-type="bibr" rid="ref39">Hardin, 1960</xref>) if any species with identical niches or ecological roles compete, one will drive the other to extinction. By implication, multiple species cannot occupy the same exact niche in one habitat and coexist in a stable manner. Consequently, when these species differentiate their niches, they tend to reduce competition, and promote coexistence. This niche differentiation can be achieved through different mechanisms, which includes consuming various dietary items or partitioning of the environment, such as using different vertical strata of the tropical rainforest (<xref ref-type="bibr" rid="ref94">Thiel et al., 2021</xref>).</p>
<p>The family of tetrakas (Bernieridae) consists of mostly greenish to yellowish songbirds, all of which are endemic to Madagascar. Some resemble typical warblers (Sylviidae), others are bulbul-like (Pycnotidae), and some did not appear to fit in any systematic group (<xref ref-type="bibr" rid="ref14">Cibois et al., 1999</xref>, <xref ref-type="bibr" rid="ref15">2001</xref>). Their systematic relationship was resolved by the genetic studies of <xref ref-type="bibr" rid="ref13">Cibois et al. (2010)</xref>, which referred to them as a separate family, the Bernieridae. Under current taxonomy, they represent an adaptive radiation of 13 species in eight genera (<xref ref-type="bibr" rid="ref78">Reddy et al., 2022</xref>; <xref ref-type="bibr" rid="ref86">Safford et al., 2022</xref>). Some show extensive interspecific resemblance but also intraspecific cryptic diversity (<xref ref-type="bibr" rid="ref6">Bickford et al., 2007</xref>; <xref ref-type="bibr" rid="ref7">Block, 2012</xref>; <xref ref-type="bibr" rid="ref87">Safford and Hawkins, 2013</xref>; <xref ref-type="bibr" rid="ref8">Block et al., 2015</xref>; <xref ref-type="bibr" rid="ref78">Reddy et al., 2022</xref>).</p>
<p>The adaptive radiation of tetrakas has been at a relatively continuous diversification rate (<xref ref-type="bibr" rid="ref7">Block, 2012</xref>) since its estimated dispersal to Madagascar between 9&#x2013;17 MY (<xref ref-type="bibr" rid="ref15">Cibois et al., 2001</xref>) or 19.2&#x2013;25.2 MY ago (<xref ref-type="bibr" rid="ref5">Beresford et al., 2005</xref>). These range estimates are approximately the same as that for the better known adaptive radiation of a Malagasy bird family, the vangas (Vangidae) (<xref ref-type="bibr" rid="ref49">J&#x00F8;nsson et al., 2012</xref>; <xref ref-type="bibr" rid="ref77">Reddy et al., 2012</xref>). Contrary to the vangas, the adaptive radiation of the tetrakas does not appear to have resulted in such a large range of morphological variations and feeding behaviors. Present knowledge of the tetrakas describes all of them as almost exclusively insectivorous (<xref ref-type="bibr" rid="ref35">Goodman and Parrillo, 1997</xref>; <xref ref-type="bibr" rid="ref73">Raherilalao and Goodman, 2011</xref>; <xref ref-type="bibr" rid="ref7">Block, 2012</xref>; <xref ref-type="bibr" rid="ref40">Hawkins et al., 2015</xref>; <xref ref-type="bibr" rid="ref26">Faliarivola et al., 2020</xref>). Using their slender bills, their feeding behaviors are relatively homogenous, mostly gleaning insects, probably also using flutter-chase or even flush-pursue strategies (<xref ref-type="bibr" rid="ref80">Remsen and Robinson, 1990</xref>) when participating in mixed-species foraging flocks (<xref ref-type="bibr" rid="ref23">Eguchi et al., 1993</xref>; <xref ref-type="bibr" rid="ref92">Sridhar et al., 2009</xref>). Eleven species are understory or even ground-dwelling in relatively pristine or even exclusively in primary forests, while the Rand&#x2019;s Warbler (<italic>Randia pseudozosterops</italic>) and Cryptic Warbler (<italic>Cryptosylvicola randrianasoloi</italic>) can be found in the canopy (<xref ref-type="bibr" rid="ref34">Goodman et al., 1996</xref>; <xref ref-type="bibr" rid="ref73">Raherilalao and Goodman, 2011</xref>; <xref ref-type="bibr" rid="ref40">Hawkins et al., 2015</xref>).</p>
<p>In the eastern tropical rainforests of Madagascar, up to eight species of tetraka can be found living sympatrically. Since they share dense habitats or the high canopy, they can be very difficult to observe. Previously, some information relating to the ecological niche and microhabitats of these species has been described (<xref ref-type="bibr" rid="ref73">Raherilalao and Goodman, 2011</xref>; <xref ref-type="bibr" rid="ref87">Safford and Hawkins, 2013</xref>). However, the mechanisms behind the successful sympatry of these phylogenetically closely related species have yet to be explained in detail. A species&#x2019; ecological space, which is often linked to diet, substrate use and foraging behavior can be indirectly approximated by the morphological space filled by each species (<xref ref-type="bibr" rid="ref49">J&#x00F8;nsson et al., 2012</xref>) and may be visible in their isotopic signatures (<xref ref-type="bibr" rid="ref70">Proch&#x00E1;zka et al., 2010</xref>; <xref ref-type="bibr" rid="ref107">Yohannes and Woog, 2020</xref>).</p>
<p>Stable isotopes have been employed effectively as a tool to determine the origin of dietary nutrient sources for various taxonomic groups (<xref ref-type="bibr" rid="ref51">Kelly, 2000</xref>). The stable isotopes in feathers can reveal the dietary sources of birds by providing information on the habitat use and nutrient intake during feather growth, which occurs during molt. These isotopes can indicate whether the birds consumed plant matter, such as fruits or seeds, or invertebrate-based diets, such as insects or spiders or both. The stable isotope ratios, particularly nitrogen (&#x03B4;<sup>15</sup>N), can provide insight into the trophic level of the prey and thus the bird, as (&#x03B4;<sup>15</sup>N) values tend to increase at higher trophic levels (<xref ref-type="bibr" rid="ref47">Inger and Bearhop, 2008</xref>). Stable nitrogen isotopes undergo an increase ranging from 2 to 4&#x2030; in heavy isotope enrichment with each trophic level and can therefore serve as a tool to determine dietary shifts and trophic positions (<xref ref-type="bibr" rid="ref47">Inger and Bearhop, 2008</xref>). Stable carbon isotopes can be used to distinguish between plants that use either C<sub>3</sub>, C<sub>4</sub> or CAM modes of photosynthesis, since the C<sub>4</sub> and CAM pathways lead to lower carbon fractionation than C<sub>3</sub> photosynthesis (<xref ref-type="bibr" rid="ref50">Karasov and Mart&#x00ED;nez del Rio, 2007</xref>). Carbon isotopes can thus be used to reconstruct habitat use regarding C<sub>3</sub>, C<sub>4</sub> and CAM plants and therefore, the diet preferences of the study species (<xref ref-type="bibr" rid="ref43">Hobson, 1999</xref>). Changes in &#x03B4;<sup>13</sup>C due to consumer tissue-diet fractionation range from 1 to 2&#x2030;. Furthermore, there is a discernible difference in the stable isotope ratios of plants growing in different vertical strata within closed canopy forests, as seen in carbon (&#x03B4;<sup>13</sup>C) values. This phenomenon is commonly referred to as the canopy effect (<xref ref-type="bibr" rid="ref96">van der Merwe and Medina, 1991</xref>), whereby vertical gradients in sunlight penetration, humidity, water source and photosynthetic processes regulate the stable isotope values. Consistently, this produces <sup>13</sup>C-depleted plant values from ground to canopy; the most positive values are usually at the upper vertical portion. Canopy effects on avian studies (understorey or ground-dwelling birds) have been measured as height from the ground, rather than estimating or measuring the vertical distance from the canopy (e.g., <xref ref-type="bibr" rid="ref74">Rajaonarivelo et al., 2020</xref>, <xref ref-type="bibr" rid="ref75">2021</xref>; <xref ref-type="bibr" rid="ref62">Lowry et al., 2021</xref>).</p>
<p>Compared with carbon and nitrogen isotopes, stable sulfur isotopes have been used less frequently, and their potential as tracers in biochemical and physiological studies are only beginning to be realized. Mechanisms and accompanying minor or null isotope fractionations involved during the uptake and assimilation of sulfur compounds by animals can be utilized as bioindicators of the foraging niche (<xref ref-type="bibr" rid="ref81">Richards et al., 2003</xref>; <xref ref-type="bibr" rid="ref1">Arneson and MacAvoy, 2005</xref>; <xref ref-type="bibr" rid="ref28">Florin et al., 2011</xref>), to distinguish the origin of dietary sources (e.g., <xref ref-type="bibr" rid="ref61">Lott et al., 2003</xref>) and to track movement and habitat use (e.g., <xref ref-type="bibr" rid="ref19">Date et al., 2022</xref>). Sulfur plays an essential role in the synthesis of key metabolic intermediates. For example, the metabolism of sulfur-containing amino acids, methionine and cysteine are essential to protein synthesis in birds (<xref ref-type="bibr" rid="ref37">Griffith, 1987</xref>). For optimal growth and survival of individuals, the diet must provide these two amino acids and sulfur-containing vitamins, such as thiamine and biotin (<xref ref-type="bibr" rid="ref10">Brosnan and Brosnan, 2006</xref>). Variations in &#x03B4;<sup>34</sup>S values on a small geographic scale are described as local soil sulfate variability. It can significantly influence the plants that grow in these soils and is expressed in the animal tissues (e.g., insects, birds) that feed on them. The fractionation of sulfur isotopes in increasing food chains is comparatively low (<xref ref-type="bibr" rid="ref66">McCutchan et al., 2003</xref>). Consequently, a wide range of feather &#x03B4;<sup>34</sup>S values indicate variable input of sulfur-containing amino acids from a range of consumed dietary sources or recycled body proteins during molt.</p>
<p>In tetrakas, only qualitative descriptions of their feeding habits and diets have been published so far, but information on the stable isotopes in their feathers or prey have not yet been assessed. As a first step, to explore their niche differentiation that may be related to their diet or to the strata they use in the forest, we used a multi-elemental approach analyzing feather isotopes combined with morphometric measurements. We aim to link multi-isotope results toward canopy stratigraphy and avian feeding niches in a rainforest ecosystem and to construct isotopic food web relations among the species dwelling in the same ecosystem. To uncover this diversification and niche segregation, we use a combination of morphometry and multi-element stable isotope analyses of body feathers (&#x03B4;<sup>13</sup>C, &#x03B4;<sup>15</sup>N, and &#x03B4;<sup>34</sup>S) that can be linked to a variety of microhabitats and prey. For keratinous tissues that are metabolically inert following synthesis (e.g., feather), their isotopic values are &#x201C;fixed&#x201D; specifically representing the time over which the feather was grown (<xref ref-type="bibr" rid="ref43">Hobson, 1999</xref>). We hypothesize that niche partitioning and dietary resource segregation may explain the sympatry of insectivorous tetrakas in the Maromizaha rainforest in eastern Madagascar. Specifically, we compare five species of Tetraka: the Grey-crowned Tetraka (<italic>Xanthomixis cinereiceps</italic>), Long-billed Tetraka (<italic>Bernieria madagascariensis</italic>), Spectacled Tetraka (<italic>Xanthomixis zosterops</italic>), White-throated Oxylabes (<italic>Oxylabes madagascariensis</italic>), and Wedge-tailed Tetraka (<italic>Hartertula flavoviridis</italic>) and explore niche partitioning patterns and the mechanism of coexistence between them. In two sexually dimorphic species (Long-billed Tetraka and Spectacled Tetraka), we investigate the effect of sex on isotopic niches. We examine whether morphological trait-based niche differentiation was evident. The degree of isotopic niche overlap was expected to reflect the extent of interspecific feeding competition between these co-occurring species.</p>
</sec>
<sec id="sec2" sec-type="methods">
<title>Methods</title>
<sec id="sec3">
<title>Study site</title>
<p>The Maromizaha rainforest (18&#x00B0;56&#x2032;49&#x2032;S, 48&#x00B0;27&#x2032;33&#x2032;E, <xref rid="fig1" ref-type="fig">Figure 1</xref>) is an officially protected area located approximately 150&#x2009;km east of the capital Antananarivo in the commune of Andasibe, district of Moramanga, Madagascar. It is an area of approximately 1,881&#x2009;ha, and is characterized by mountainous terrain ranging from 751 to 1,250&#x2009;m in altitude with many small streams and is part of the Ankeniheny-Zahamena forest corridor. At the edges, along the central valley and along the &#x201C;route nationale,&#x201D; approximately 600&#x2009;ha have been deforested to obtain firewood and to create agricultural areas. Bird capture sites were located in five different habitats between 1,005 and 1,110&#x2009;m altitude: a pristine mountain ridge, a mostly undisturbed river site, a mountain saddle, a plantation of vegetables and fruits surrounded by forest and a degraded open savannah near a quarry (<xref ref-type="bibr" rid="ref105">Woog et al., 2006</xref>; <xref ref-type="bibr" rid="ref107">Yohannes and Woog, 2020</xref>).</p>
<fig position="float" id="fig1">
<label>Figure 1</label>
<caption>
<p>Map of Madagascar and the approximate location of the Maromizaha rainforest (indicated by a black square symbol).</p>
</caption>
<graphic xlink:href="fevo-11-1082226-g001.tif"/>
</fig>
</sec>
<sec id="sec4">
<title>Study species</title>
<p>Tetrakas exhibit a range of morphological traits, including variation in bill shapes, wing, tail, and tarsus lengths (<xref ref-type="bibr" rid="ref87">Safford and Hawkins, 2013</xref>). Wings are mostly short and rounded, the tail of medium length and somewhat graduated. While all study species can be found in undisturbed forests, some may also forage in secondary forest habitats (<xref ref-type="bibr" rid="ref3">Benjara et al., 2021</xref>). Long-billed Tetrakas are found in both wet and dry habitats throughout Madagascar, except for the central mountain range and the Southwest. Tetrakas feed on invertebrates, typically captured from the substrate, and may form either single or mixed species flocks, often containing previous offspring (<xref ref-type="bibr" rid="ref73">Raherilalao and Goodman, 2011</xref>). They are considered as resident species (<xref ref-type="bibr" rid="ref73">Raherilalao and Goodman, 2011</xref>; <xref ref-type="bibr" rid="ref87">Safford and Hawkins, 2013</xref>). Expressed as the percentage of individuals recaptured between years of all ringed birds per species, tetrakas showed high site fidelity (recapture percentage at the original ringing site between years (2003&#x2013;2016): Grey-crowned Tetraka 9.7%, Long-billed Tetraka 25.5%, Spectacled Tetraka 15.4%, Wedge-tailed Tetraka 30% and White-throated Oxylabes 8.3%; <xref ref-type="bibr" rid="ref106">Woog et al., 2018</xref>). <xref ref-type="bibr" rid="ref87">Safford and Hawkins (2013)</xref> provide a description of the known habitat uses and feeding behavior, as summarized in <xref rid="tab1" ref-type="table">Table 1</xref>.</p>
<table-wrap position="float" id="tab1">
<label>Table 1</label>
<caption>
<p>Summary of the known habitat and foraging behaviors of the study species.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Species</th>
<th align="left" valign="top">Abbreviations</th>
<th align="left" valign="top">Habitat and foraging behavior</th>
<th align="left" valign="top">References</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Grey-crowned Tetraka (<italic>Xanthomixis cinereiceps</italic>)</td>
<td align="left" valign="top">GRECTE</td>
<td align="left" valign="top">Gleans in dense undergrowth on ground, small shrubs, mossy trunks, large branches, excavating litter and investigating holes.</td>
<td align="left" valign="top"><xref ref-type="bibr" rid="ref95">Thompson and Evans (1991)</xref>, <xref ref-type="bibr" rid="ref25">Evans et al. (1992)</xref>, and <xref ref-type="bibr" rid="ref36">Goodman et al. (2000)</xref></td>
</tr>
<tr>
<td align="left" valign="top">Long-billed Tetraka (<italic>Bernieria madagascariensis</italic>)</td>
<td align="left" valign="top">LOBITE</td>
<td align="left" valign="top">Forages in dense lower and middle strata with tall trees, 1&#x2013;20&#x2009;m above the ground, sometimes in tree-tops. Gleans from branches and leaves, also clinging to vertical trunks where it searches crevices and epiphytes for insect prey in shallow cavities, fallen trees, bases of palm fronds and under leaves on the ground. Occasionally catch flying prey in mid-air, foraging in diverse habitats.</td>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref42">Hino (1998)</xref>
</td>
</tr>
<tr>
<td align="left" valign="top">Spectacled Tetraka (<italic>Xanthomixis zosterops</italic>)</td>
<td align="left" valign="top">SPECTE</td>
<td align="left" valign="top">Gleans through low vegetation, on creepers, ferns, branches, and on low trunks, 0.5&#x2013;5&#x2009;m above the ground.</td>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref87">Safford and Hawkins (2013)</xref>
</td>
</tr>
<tr>
<td align="left" valign="top">White-throated Oxylabes (<italic>Oxylabes madagascariensis</italic>)</td>
<td align="left" valign="top">WITOXY</td>
<td align="left" valign="top">Low understory, mostly terrestrial or in shrubs under 1&#x2009;m from the ground. Moves on the ground or through dense low vegetation, below fallen trees and in bush tangles, taking small insects from the undersides of leaves and small stems and may dig through leaf litter.</td>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref87">Safford and Hawkins (2013)</xref>
</td>
</tr>
<tr>
<td align="left" valign="top">Wedge-tailed Tetrakas (<italic>Hartertula flavoviridis</italic>)</td>
<td align="left" valign="top">WEDJTE</td>
<td align="left" valign="top">Middle and lower strata, about 1&#x2013;5&#x2009;m from the ground, hopping along branches, gleaning from leaves, and actively searching foliage, epiphytes, bark and catching prey by snatching or probing.</td>
<td align="left" valign="top"><xref ref-type="bibr" rid="ref4">Benson et al. (1976)</xref>, <xref ref-type="bibr" rid="ref52">Langrand (1990)</xref>, and <xref ref-type="bibr" rid="ref41">Hawkins et al. (1998)</xref></td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="sec5">
<title>Bird capture, morphometry and sampling</title>
<p>Between 2003 and 2018, birds were caught in mist nets during field seasons lasting about a month between September and January. This period represents the southern spring and coincides with the breeding season for many species. For the identification and ageing of the birds, <xref ref-type="bibr" rid="ref67">Morris and Hawkins (1998)</xref> and <xref ref-type="bibr" rid="ref91">Sinclair and Langrand (2013)</xref> were used. Birds were caught and ringed with aluminum rings from SAFRING to enable individual identification in the future. All measurements were taken by FW following <xref ref-type="bibr" rid="ref22">Eck et al. (2011)</xref> and included wing (maximum chord), 3rd (outermost) primary, Kipp measure (outermost secondary to tip of wing), tip of outermost primary to longest primary, minimum tarsus (metatarsal bone), tail, bill to skull, bill length, height, and width from distal edge of nostril, weight, breeding and molting status. Up to five flank feathers from underneath the wing and a tail feather were collected for stable isotope analyses. For molecular sexing, a blood sample was taken from the brachial vein and placed in a DNA buffer (<xref ref-type="bibr" rid="ref102">Wink, 2006</xref>) before the birds were released back into the wild.</p>
<p>There is no published information about the molting periods of this bird family. During our study, the onset of molt appeared to start after the young fledged. Body molt for all tetraka species started in November and lasted into January, after which no data was collected and was synchronous for males and females. Wing molt started in November and December, except for the Long-billed Tetraka, where no wing molt was observed in this period. Currently, there is no information available regarding post-juvenile molt in tetrakas, which may occur in January or February, coinciding with the cyclone season. Because of high site fidelity during breeding and molt and a presumed minor variation of habitat use throughout the year, a reduced temporal effect on feather isotope values, as well as a limited variation between sexes was assumed. To test for these effects, flank and tail feathers (which could be molted at different times of the year) were tested for significant differences in the stable isotope ratio values. Following the absence of differences (Paired <italic>t</italic>-test, <italic>p</italic>&#x2009;&#x003E;&#x2009;0.05), the focus was put on flank feather samples, as they provided the larger sample size. The current approach has limitations as more data are needed on molt in these birds, and repeated feather sampling throughout the annual cycle.</p>
</sec>
<sec id="sec6">
<title>Capture height</title>
<p>Regular mist-nets were used to capture the birds. By design, they had five pockets measuring 50&#x2009;cm each, reaching from the ground to 2.5&#x2009;m in height. High nets were built using two superposed nets and reached from the ground to 5&#x2009;m in height. Ten height classes were marked out between 1 and 5&#x2009;m height above the ground, representing the pocket in which the birds were caught. The pocket (referred here as capture height) was noted for each individual at capture. A Chi-square test of independence was performed between the Long-billed Tetraka and the four other species. All captures above the height of class 4 were pooled, and the repartition of captures of Long-billed Tetraka was tested against the other species. The canopy height was variable and reached higher than the mist-nets in most cases, but capturing birds at greater heights was technically not feasible. Therefore, all capture height data reported in this study refer to birds caught within the mist-nets, at heights between 0 and 5 m. This approach is commonly used on research in habitat usage by ground-dwelling or understory birds (e.g., <xref ref-type="bibr" rid="ref74">Rajaonarivelo et al., 2020</xref>, <xref ref-type="bibr" rid="ref75">2021</xref>; <xref ref-type="bibr" rid="ref62">Lowry et al., 2021</xref>), but its drawback is the lack of information it provides regarding birds inhabiting the strata above the nets.</p>
</sec>
<sec id="sec7">
<title>Feather stable isotope measurements</title>
<p>In the laboratory, the flank feather samples were prepared by washing each individual sample in a 3:1 solution of chloroform and methanol for 24&#x2009;h, followed by a thorough rinse with distilled water and drying to ensure the purity of the samples. Samples of <italic>ca.</italic> 1&#x2009;mg were pre-weighed in tin cups and combusted using a vario MICRO cube elemental analyzer (Elementar, Analysensysteme GmbH, Germany). Simultaneous resultant CO<sub>2</sub>, N<sub>2</sub> and SO<sub>2</sub> gases were introduced into a Micromass Isoprime isotope ratio mass spectrometer (Isoprime Ltd., United Kingdom) <italic>via</italic> a continuous flow-through inlet system. Sample <sup>13</sup>C/<sup>12</sup>C, <sup>15</sup>N/<sup>14</sup>N, and <sup>34</sup>S/<sup>32</sup>S ratios are expressed in the delta (&#x03B4;<sup>13</sup>C, &#x03B4;<sup>15</sup>N, and &#x03B4;<sup>34</sup>S) notation in parts per thousand (&#x2030;) relative to the following standards: the Vienna Pee Dee Belemnite (VPDB) for C, atmospheric N<sub>2</sub> for nitrogen, and sulphanilamide-calibrated and traceable to NBS-127 (barium sulfate) for S. Stable isotope ratios were obtained using the equation:</p>
<p>&#x03B4;<sup>X</sup>(&#x2030;)&#x2009;=&#x2009;1,000&#x2009;&#x00D7;&#x2009;(R<sub>sample</sub>/R<sub>standard</sub>&#x2009;&#x2212;&#x2009;1), where X is <sup>13</sup>C, <sup>15</sup>N or <sup>34</sup>S and R is <sup>13</sup>C/<sup>12</sup>C, <sup>15</sup>N/<sup>14</sup>N or <sup>34</sup>S/<sup>32</sup>S. Internal laboratory standards indicate that our measurement errors (SD) were&#x2009;&#x00B1;&#x2009;0.15&#x2030;, 0.03&#x2030; and 0.05&#x2030; for &#x03B4;<sup>15</sup>N, &#x03B4;<sup>13</sup>C, and &#x03B4;<sup>34</sup>S, respectively.</p>
</sec>
<sec id="sec8">
<title>Molecular and morphological based sexing</title>
<p>Blood samples (<italic>n</italic>&#x2009;=&#x2009;118) were collected in the field. DNA was extracted using the DNeasy Blood and Tissue Kit (QIAGEN, Hilden, Germany), following the manufacturer&#x2019;s protocol (<xref ref-type="bibr" rid="ref12">&#x00C7;akmak et al., 2017</xref>). PCRs using the primer pair CHD1F/CHD1R (<xref ref-type="bibr" rid="ref54">Lee et al., 2010</xref>) were conducted with the kit HotStarTaq Plus DNA Polymerase (QIAGEN, Hilden, Germany), following the standard protocol. The resulting PCR products were separated by electrophoresis on a 2% agarose gel containing 1&#x2009;&#x03BC;l GelRed&#x00AE; Nucleic Acid Gel Stain (BIOTIUM, Fremont, United States) for 40&#x2009;min at 100&#x2009;V in a standard Tris-borate-EDTA buffer. The primer pair yielded only one band for both sexes, but after separation by electrophoresis, a characteristic difference in fragment size was evident. For the birds for which blood samples could not be collected, sexing was conducted using plumage characteristics and presence/absence of a brood patch in females or the shape of the cloacal protuberance for males (<xref ref-type="bibr" rid="ref79">Redfern et al., 2001</xref>). Samples of individuals which were sexed both in the field and using the molecular approach (<italic>n</italic>&#x2009;=&#x2009;42) showed a concordance of more than 90%. Molecular sexing of tetrakas was not as straightforward as expected and is subject to further research.</p>
</sec>
<sec id="sec9">
<title>Morphometric data analyses</title>
<p>All data analyses were performed in R V. 4.2.1 and RStudio V. 2022.7.1.554 (<xref ref-type="bibr" rid="ref72">R Core Team, 2022</xref>; <xref ref-type="bibr" rid="ref85">RStudio Team, 2022</xref>). Some morphological variables within one anatomical feature (i.e., wing or beak) were strongly correlated. As a result, the following measurements for morphometric analyses were selected: (1) wing length: maximum chord, (2) tarsus: metatarsal bone, (3) bill width: bill width at distal edge of nostril, and (4) bill length: bill to skull. Preliminary and descriptive analyses were performed on the data using different packages in R (<xref ref-type="bibr" rid="ref98">Wickham, 2016</xref>; <xref ref-type="bibr" rid="ref21">Dowle and Srinivasan, 2021</xref>; <xref ref-type="bibr" rid="ref100">Wickham et al., 2022</xref>), before checking for multivariate normality using an Energy test (<xref ref-type="bibr" rid="ref82">Rizzo and Szekely, 2022</xref>), as well as Mardia&#x2019;s test (<xref ref-type="bibr" rid="ref27">Fletcher, 2022</xref>). Homoscedasticity was tested with Levene&#x2019;s test (<xref ref-type="bibr" rid="ref30">Fox and Weisberg, 2019</xref>) and the homogeneity of variance&#x2013;covariance matrices was tested using Box&#x2019;s <italic>M</italic> test (<xref ref-type="bibr" rid="ref18">da Silva, 2021</xref>). ANOVAs were performed for each variable, and the species were sorted into statistically significant groups using Tukey&#x2019;s Honestly Significant Differences (HSD) post-hoc tests (<xref ref-type="bibr" rid="ref11">Bryan, 2017</xref>; <xref ref-type="bibr" rid="ref99">Wickham et al., 2019</xref>; <xref ref-type="bibr" rid="ref20">de Mendiburu, 2021</xref>; <xref ref-type="bibr" rid="ref46">Iannone et al., 2022</xref>). In each case, the normal distribution of the residuals was verified by a Shapiro&#x2013;Wilk test. The significance of the disparity between males and females was tested for each variable and for each species using Welch&#x2019;s <italic>t</italic>-tests.</p>
<p>Quadratic discriminant analysis (QDA) and Linear discriminant analysis (LDA) were used for classification and graphical representation. The log-transformed values of the four morphological variables, which were also scaled for the LDA (<xref ref-type="bibr" rid="ref55">Legendre and Legendre, 2012</xref>), were used as the response variable and because of sample size restrictions, only the species were taken as the supervised grouping variable (<xref ref-type="bibr" rid="ref90">Sievert, 2020</xref>). Both analyses (LDA and QDA) were applied to investigate the morphological classification and categorization of individuals into their respective groups using a leave-one-out cross-validation (also known as jack-knifed validation) method (<xref ref-type="bibr" rid="ref97">Venables and Ripley, 2002</xref>). To infer the difference between the sexes, the sexes were subsequently displayed in the graphical representation. For each species, the results of the QDA were sorted by sex and the species assignment accuracy was explored.</p>
</sec>
<sec id="sec10">
<title>Stable isotope data analyses</title>
<p>This part of the analysis was performed for only four species since stable isotope values were not available for Wedge-tailed Tetrakas. Analysis of variance (ANOVA) and Student&#x2019;s <italic>t</italic>-tests were employed to test for differences in stable isotope values between sites for each species and for each element separately (ANOVA and <italic>T</italic>-test, <italic>p</italic> &#x003E;&#x2009;0.05). Since there were no statistically significant differences, samples from all sites were pooled. Species-specific trophic niche width was calculated using metrics that include the total convex hull area (TA) occupied by all individuals of each species in the &#x03B4;<sup>15</sup>N/&#x03B4;<sup>13</sup>C and &#x03B4;<sup>34</sup>S/&#x03B4;<sup>13</sup>C biplots (<xref ref-type="bibr" rid="ref53">Layman et al., 2007</xref>). As described by <xref ref-type="bibr" rid="ref48">Jackson et al. (2011)</xref>, standard ellipse areas (SEA) with a correction for small sample sizes (SEAc) were used. This technique relies on a Bayesian method that accounts for data uncertainty and permits isotopic community metrics comparison between groups implemented through stable isotope Bayesian ellipses (<xref ref-type="bibr" rid="ref48">Jackson et al., 2011</xref>) using 40% overlap analysis. To estimate the extent of overlap between the isotopic niches of a given species pair, triple isotopic nestedness based on convex hulls was calculated using scaled isotope data following the scale function described by <xref ref-type="bibr" rid="ref17">Cucherousset and Vill&#x00E9;ger (2015)</xref>. Convex hulls for the species and sexes were computed, and pairs of isotopes were graphically depicted (<xref ref-type="bibr" rid="ref98">Wickham, 2016</xref>; <xref ref-type="bibr" rid="ref38">Habel et al., 2022</xref>).</p>
<p>Isotopic overlap metrics [isotopic similarity (ISim) and nestedness (Ines)] were calculated following <xref ref-type="bibr" rid="ref004">Vill&#x00E9;ger et al. (2011</xref> <xref ref-type="bibr" rid="ref005">2013)</xref> and <xref ref-type="bibr" rid="ref17">Cucherousset and Vill&#x00E9;ger (2015)</xref> using the isotopic richness (convex hull volume) of two species (pairwise species comparisons) and the volume of isotopic space they shared (i.e., intersection volume). Isotopic niche has typically been characterized through carbon and nitrogen ratios, limiting the modeling approaches to two dimensions (<xref ref-type="bibr" rid="ref53">Layman et al., 2007</xref>). Yet, other stable isotopes (e.g., &#x03B4;<sup>34</sup>S) can provide additional power to resolve questions associated with variations in resource use and simultaneously enhance the dimensions to three elements (3D). An analogous methodology was used, which incorporated variation across three dimensions, comparing all three stable isotopes at the same time to estimate the significant features of a species isotopic space. ISim is the ratio between the volume of the intersection and the volume of the union of the two groups of organisms in the stable isotope space. ISim ranges from 0 in cases where organisms fill totally different parts to 1 when the species fill the same portion of the isotopic space. It is multi-dimensional and unitless but could nonetheless be influenced by the differences in size of the convex hull area of the species considered. Ines was also applied as a complementary index. It represents the ratio between the volume of the intersection and the minimal volume filled by the species.</p>
</sec>
<sec id="sec11">
<title>Morphometry combined with stable isotope data</title>
<p>After checking for normal distribution for each group and variable, a Pearson correlation coefficient table was calculated for the log-transformed morphometric variables and for the stable isotope values. A principal component analysis (PCA) was performed on the scaled data as an unsupervised dimension reduction method. Then, it was possible to check which combinations of variables were most relevant to resolving the ecological space of the species and sexes. The variation along the first two principal components (PC1 and PC2) was presented as a biplot, showing the best possible spread of the data points along these axes (<xref ref-type="bibr" rid="ref9">Borcard et al., 2011</xref>), and the species and sexes were also displayed graphically.</p>
</sec>
</sec>
<sec id="sec12" sec-type="results">
<title>Results</title>
<p>Between 2003 and 2018, a total of 205 tetrakas were caught and measured at five different sites (mountain ridge: <italic>n</italic>&#x2009;=&#x2009;13, river valley: <italic>n</italic>&#x2009;=&#x2009;99, mountain saddle: <italic>n</italic>&#x2009;=&#x2009;67, plantation: <italic>n</italic>&#x2009;=&#x2009;25, dry savannah: <italic>n</italic>&#x2009;=&#x2009;1). Tetrakas were abundant in almost all habitats, except for the highly degraded dry savannah. All species were most abundant in the river valley and were captured predominantly in the lower pockets of the nets: 0.01&#x2013;0.5&#x2009;m (<italic>n</italic>&#x2009;=&#x2009;29); 0.51&#x2013;1.0&#x2009;m (<italic>n</italic>&#x2009;=&#x2009;63); 1.01&#x2013;1.5&#x2009;m (<italic>n</italic>&#x2009;=&#x2009;57); 1.51&#x2013;2.0&#x2009;m (<italic>n</italic>&#x2009;=&#x2009;29); 2.01&#x2013;2.5&#x2009;m (<italic>n</italic>&#x2009;=&#x2009;14); 2.51&#x2013;3.0&#x2009;m (<italic>n</italic>&#x2009;=&#x2009;4); 3.01&#x2013;3.5&#x2009;m (<italic>n</italic>&#x2009;=&#x2009;0); 3.51&#x2013;4.0&#x2009;m (<italic>n</italic>&#x2009;=&#x2009;2); 4.01&#x2013;4.5&#x2009;m (<italic>n</italic>&#x2009;=&#x2009;5); and 4.51&#x2013;5.0&#x2009;m (<italic>n</italic> =&#x2009;2) (<xref rid="fig2" ref-type="fig">Figure 2</xref>). White-throated Oxylabes and Wedge-tailed Tetrakas were consistently captured at the lower pockets, most often between 0.5 and 1&#x2009;m (68% of total captures). In contrast, Long-billed Tetrakas were captured at higher net heights (capture heights 5 to 10, above 2&#x2009;m) more often than the other species (<xref rid="fig2" ref-type="fig">Figure 2</xref>). Chi-Square test of independence: &#x03C7;<sup>2</sup>&#x2009;=&#x2009;12.57, df&#x2009;=&#x2009;4, <italic>p</italic>&#x2009;=&#x2009;0.014, for a total of 205 captures; Grey-crowned Tetraka: <italic>n</italic>&#x2009;=&#x2009;32, Long-billed Tetraka: <italic>n</italic>&#x2009;=&#x2009;65, Spectacled Tetraka: <italic>n</italic>&#x2009;=&#x2009;71, Wedge-tailed Tetraka: <italic>n</italic>&#x2009;=&#x2009;12, White-throated Oxylabes: <italic>n</italic>&#x2009;=&#x2009;25).</p>
<fig position="float" id="fig2">
<label>Figure 2</label>
<caption>
<p>Percentage of captured individuals per species at each capture height. Number of captures at each height class (1&#x2013;10 for each species respectively): GRECTE (4, 8, 9, 5, 4, 0, 0, 0, 1, 1), LOBITE (6, 17, 19, 7, 5, 4, 0, 2, 4, 1), SPECTE (10, 24, 23, 9, 5, 0, 0, 0, 0, 0), WEDJTE (1, 5, 3, 3, 0, 0, 0, 0, 0, 0), WITOXY (8, 9, 3, 5, 0, 0, 0, 0, 0, 0). For species abbreviations, see <xref rid="tab1" ref-type="table">Table 1</xref>.</p>
</caption>
<graphic xlink:href="fevo-11-1082226-g002.tif"/>
</fig>
<sec id="sec13">
<title>Morphometrics</title>
<p>The five species of tetraka differed morphologically from one another and sexual dimorphism of varying degrees was apparent (<xref rid="fig3" ref-type="fig">Figures 3A</xref>&#x2013;<xref rid="fig3" ref-type="fig">D</xref>; <xref rid="tab2" ref-type="table">Table 2</xref>; <xref ref-type="supplementary-material" rid="SM1">Supplementary Table S1</xref>). Grey-crowned and Spectacled Tetrakas were morphologically similar regarding their tarsi and wing lengths, but regarding bill length, the Grey-crowned Tetraka was closer to the Wedge-tailed Tetraka, whereas the Spectacled Tetraka was more similar to the White-throated Oxylabes. Very strong sexual dimorphism was apparent in Long-billed Tetrakas, where males had much longer tarsi, wings and bills than females. To a lesser extent, this was also the case for White-throated Oxylabes. Spectacled Tetraka females also had shorter wings and bills than males, while for the Grey-crowned Tetraka this was only the case for wing length. Contrastingly, bill width was very similar for both sexes in all species and was therefore not a good predictor of sexual dimorphism. Wedge-tailed Tetrakas exhibited smaller values for all measurements. Therefore, the Wedge-tailed Tetraka was excluded from the subsequent analyses that aimed at differentiating species of very similar morphology.</p>
<fig position="float" id="fig3">
<label>Figure 3</label>
<caption>
<p>Tarsus length <bold>(A)</bold>, wing length <bold>(B)</bold>, bill width <bold>(C)</bold> and bill length (bill to skull) <bold>(D)</bold> of males (green) and females (orange) in five species of tetrakas. Brackets indicate differences between males and females calculated using Welch&#x2019;s <italic>T</italic>-tests (<xref rid="tab2" ref-type="table">Table 2</xref>). Significance levels: &#x003C;0.001&#x2009;=&#x2009;&#x002A;&#x002A;&#x002A;; &#x003C;0.01&#x2009;=&#x2009;&#x002A;&#x002A;; &#x003C;0.05&#x2009;=&#x2009;&#x002A;; &#x2265;0.05&#x2009;=&#x2009;ns. Sample sizes: GRECTE: females (<italic>f</italic>)&#x2009;=&#x2009;7, males (<italic>m</italic>)&#x2009;=&#x2009;10; LOBITE: <italic>f</italic>&#x2009;=&#x2009;21, <italic>m</italic>&#x2009;=&#x2009;23; SPECTE: <italic>f</italic>&#x2009;=&#x2009;11, <italic>m</italic>&#x2009;=&#x2009;19; WEDJTE: <italic>f</italic>&#x2009;=&#x2009;3, <italic>m</italic>&#x2009;=&#x2009;5; WITOXY: <italic>f</italic>&#x2009;=&#x2009;9, <italic>m</italic>&#x2009;=&#x2009;6. The classification into groups through one-way ANOVAs and Tukey&#x2019;s HSD tests are indicated as a&#x2013;d (<xref ref-type="supplementary-material" rid="SM1">Supplementary Table S1</xref>). For species abbreviations, see <xref rid="tab1" ref-type="table">Table 1</xref>.</p>
</caption>
<graphic xlink:href="fevo-11-1082226-g003.tif"/>
</fig>
<table-wrap position="float" id="tab2">
<label>Table 2</label>
<caption>
<p>Sexual dimorphism (%) in four morphological variables and results of pairwise Welsh&#x2019;s <italic>T</italic>-tests of these measures between males and females.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th/>
<th align="center" valign="top" colspan="2">GRECTE</th>
<th align="center" valign="top" colspan="2">LOBITE</th>
<th align="center" valign="top" colspan="2">SPECTE</th>
<th align="center" valign="top" colspan="2">WEDJTE</th>
<th align="center" valign="top" colspan="2">WITOXY</th>
</tr>
<tr>
<th align="left" valign="top">Variables</th>
<th align="center" valign="top">[%]</th>
<th align="center" valign="top"><italic>T</italic>-test</th>
<th align="center" valign="top">[%]</th>
<th align="center" valign="top"><italic>T</italic>-test</th>
<th align="center" valign="top">[%]</th>
<th align="center" valign="top"><italic>T</italic>-test</th>
<th align="center" valign="top">[%]</th>
<th align="center" valign="top"><italic>T</italic>-test</th>
<th align="center" valign="top">[%]</th>
<th align="center" valign="top"><italic>T</italic>-test</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Tarsus length</td>
<td align="center" valign="top">2.54</td>
<td align="center" valign="top"><italic>T</italic><sub>11.87</sub> =&#x2009;1.24&#x2009;ns</td>
<td align="center" valign="top">6.87</td>
<td align="center" valign="top"><italic>T</italic><sub>41.98</sub> =&#x2009;7.53&#x002A;&#x002A;&#x002A;</td>
<td align="center" valign="top">2.93</td>
<td align="center" valign="top"><italic>T</italic><sub>20.68</sub> =&#x2009;2.08&#x2009;ns</td>
<td align="center" valign="top">1.26</td>
<td align="center" valign="top"><italic>T</italic><sub>3.67</sub> =&#x2009;0.40&#x2009;ns</td>
<td align="center" valign="top">5.04</td>
<td align="center" valign="top"><italic>T</italic><sub>12.76</sub> =&#x2009;4.55&#x002A;&#x002A;&#x002A;</td>
</tr>
<tr>
<td align="left" valign="top">Wing length</td>
<td align="center" valign="top">7.26</td>
<td align="center" valign="top"><italic>T</italic><sub>13.76</sub> =&#x2009;3.90&#x002A;&#x002A;</td>
<td align="center" valign="top">17.50</td>
<td align="center" valign="top"><italic>T</italic><sub>40.27</sub> =&#x2009;16.33&#x002A;&#x002A;&#x002A;</td>
<td align="center" valign="top">9.68</td>
<td align="center" valign="top"><italic>T</italic><sub>27.51</sub> =&#x2009;8.32 &#x002A;&#x002A;&#x002A;</td>
<td align="center" valign="top">3.85</td>
<td align="center" valign="top"><italic>T</italic><sub>5.02</sub> =&#x2009;2.57&#x002A;</td>
<td align="center" valign="top">6.33</td>
<td align="center" valign="top"><italic>T</italic><sub>8.83</sub> =&#x2009;4.81&#x002A;&#x002A;</td>
</tr>
<tr>
<td align="left" valign="top">Bill width</td>
<td align="center" valign="top">1.04</td>
<td align="center" valign="top"><italic>T</italic><sub>14.08</sub> =&#x2009;0.28&#x2009;ns</td>
<td align="center" valign="top">0.57</td>
<td align="center" valign="top"><italic>T</italic><sub>41.51</sub> =&#x2009;0.30&#x2009;ns</td>
<td align="center" valign="top">0.41</td>
<td align="center" valign="top"><italic>T</italic><sub>27.13</sub> =&#x2009;0.14&#x2009;ns</td>
<td align="center" valign="top">&#x2212;7.64</td>
<td align="center" valign="top"><italic>T</italic><sub>4.72</sub> =&#x2009;&#x2212;2.01&#x2009;ns</td>
<td align="center" valign="top">&#x2212;2.38</td>
<td align="center" valign="top"><italic>T</italic><sub>8.56</sub> =&#x2009;&#x2212;0.86&#x2009;ns</td>
</tr>
<tr>
<td align="left" valign="top">Bill to skull</td>
<td align="center" valign="top">3.26</td>
<td align="center" valign="top"><italic>T</italic><sub>14.45</sub> =&#x2009;1.99&#x2009;ns</td>
<td align="center" valign="top">28.03</td>
<td align="center" valign="top"><italic>T</italic><sub>36.05</sub> =&#x2009;24.17&#x002A;&#x002A;&#x002A;</td>
<td align="center" valign="top">8.62</td>
<td align="center" valign="top"><italic>T</italic><sub>18.95</sub> =&#x2009;5.98&#x002A;&#x002A;&#x002A;</td>
<td align="center" valign="top">2.71</td>
<td align="center" valign="top"><italic>T</italic><sub>2.71</sub> =&#x2009;1.00&#x2009;ns</td>
<td align="center" valign="top">6.29</td>
<td align="center" valign="top"><italic>T</italic><sub>11.48</sub> =&#x2009;2.65 &#x002A;</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>Positive values indicate cases where males are larger than females. For species abbreviations, see <xref rid="tab1" ref-type="table">Table 1</xref>. Significance levels: &#x003C;0.001&#x2009;=&#x2009;&#x002A;&#x002A;&#x002A;; &#x003C;0.01&#x2009;=&#x2009;&#x002A;&#x002A;; &#x003C;0.05&#x2009;=&#x2009;&#x002A;; &#x2265;0.05&#x2009;=&#x2009;ns.</p>
</table-wrap-foot>
</table-wrap>
<p>The two supervised classification analyses of the four morphometrically closest species (LDA and QDA) showed an overlap between Grey-crowned and Spectacled Tetrakas (as well as female Long-billed Tetrakas to a lesser degree; <xref rid="fig4" ref-type="fig">Figure 4</xref>; <xref rid="tab3" ref-type="table">Table 3</xref>; <xref ref-type="supplementary-material" rid="SM1">Supplementary Tables S2, S3</xref>). White-throated Oxylabes remained separated, implying the morphological distinctiveness of the species. A strong diffused clustering of the male and female Long-billed Tetrakas was apparent, even without taking sex into account in the analysis (<xref rid="fig4" ref-type="fig">Figure 4</xref>), illustrating the sexual dimorphism. In all species except for White-throated Oxylabes, females had a lower species assignment accuracy, but this was particularly evident for Grey-crowned and Spectacled Tetrakas (<xref rid="tab3" ref-type="table">Table 3</xref>). Nonetheless, our models using only four morphometric measurements were very robust toward classifying each species, accordingly, indicating a strong segregation in the morphological space (<xref ref-type="supplementary-material" rid="SM1">Supplementary Table S3</xref>). The QDA showed a higher prediction accuracy than the LDA (96.24%, versus 93.98%).</p>
<fig position="float" id="fig4">
<label>Figure 4</label>
<caption>
<p>Linear discriminant analysis (LDA) showing clustering by length of tarsus and wing, bill width and bill length of the four morphologically closest species. Assignment accuracy per analysis (%) is shown in <xref ref-type="supplementary-material" rid="SM1">Supplementary Table S3</xref>. For species abbreviations, see <xref rid="tab1" ref-type="table">Table 1</xref>.</p>
</caption>
<graphic xlink:href="fevo-11-1082226-g004.tif"/>
</fig>
<table-wrap position="float" id="tab3">
<label>Table 3</label>
<caption>
<p>Individual assignment accuracy (%) of the Quadratic Discriminant Analysis of (<italic>n</italic>&#x2009;=&#x2009;205) into each supervised grouping variable (namely the species in this analysis), which was sorted by sex and species.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th/>
<th align="center" valign="top">GRECTE</th>
<th align="center" valign="top">LOBITE</th>
<th align="center" valign="top">SPECTE</th>
<th align="center" valign="top">WITOXY</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top" colspan="5">Assignment accuracy into each species (%) and sex</td>
</tr>
<tr>
<td align="left" valign="top" colspan="5">GRECTE</td>
</tr>
<tr>
<td align="left" valign="top">
<italic>f</italic>
</td>
<td align="center" valign="top">75.14</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">24.86</td>
<td align="center" valign="top">0</td>
</tr>
<tr>
<td align="left" valign="top">
<italic>m</italic>
</td>
<td align="center" valign="top">85.50</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">14.50</td>
<td align="center" valign="top">0</td>
</tr>
<tr>
<td align="left" valign="top" colspan="5">LOBITE</td>
</tr>
<tr>
<td align="left" valign="top">
<italic>f</italic>
</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">98.62</td>
<td align="center" valign="top">1.38</td>
<td align="center" valign="top">0</td>
</tr>
<tr>
<td align="left" valign="top">
<italic>m</italic>
</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">100</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
</tr>
<tr>
<td align="left" valign="top" colspan="5">SPECTE</td>
</tr>
<tr>
<td align="left" valign="top">
<italic>f</italic>
</td>
<td align="center" valign="top">12.91</td>
<td align="center" valign="top">0.36</td>
<td align="center" valign="top">86.09</td>
<td align="center" valign="top">0.45</td>
</tr>
<tr>
<td align="left" valign="top">
<italic>m</italic>
</td>
<td align="center" valign="top">0.84</td>
<td align="center" valign="top">1.74</td>
<td align="center" valign="top">97.42</td>
<td align="center" valign="top">0</td>
</tr>
<tr>
<td align="left" valign="top" colspan="5">WITOXY</td>
</tr>
<tr>
<td align="left" valign="top">
<italic>f</italic>
</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">2.00</td>
<td align="center" valign="top">0.22</td>
<td align="center" valign="top">97.78</td>
</tr>
<tr>
<td align="left" valign="top">
<italic>m</italic>
</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">7.83</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">92.17</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>f</italic>, female; <italic>m</italic>, male. For species abbreviations, see <xref rid="tab1" ref-type="table">Table 1</xref>.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="sec14">
<title>Stable isotopes</title>
<p>The stable isotope ratios in flank feathers from the four species of tetraka showed a wide variation [ranges (&#x2030;): &#x03B4;<sup>13</sup>C: &#x2212;26.30 to &#x2212;23.26; &#x03B4;<sup>15</sup>N: 5.11 to 10.29; &#x03B4;<sup>34</sup>S: 16.18 to 18.79] even between males and females of the same species (<xref rid="fig5" ref-type="fig">Figure 5</xref>). Overall, Long-billed Tetrakas had higher values of &#x03B4;<sup>13</sup>C than all the other species. On the other hand, ground-dwelling species like the White-throated Oxylabes and the Spectacled Tetraka showed much lower &#x03B4;<sup>13</sup>C values and higher &#x03B4;<sup>15</sup>N values, whereas &#x03B4;<sup>15</sup>N values in Long-billed Tetraka feathers were lower on average. Male and female Spectacled Tetrakas showed a considerable overlap in their &#x03B4;<sup>15</sup>N isotopic values.</p>
<fig position="float" id="fig5">
<label>Figure 5</label>
<caption>
<p>Scaled flank feather stable isotope results (&#x03B4;<sup>13</sup>C, &#x03B4;<sup>15</sup>N, and &#x03B4;<sup>34</sup>S) showing isotopic niche of four Tetraka species. <italic>f</italic>&#x2009;=&#x2009;female, <italic>m</italic>&#x2009;=&#x2009;male, 0&#x2009;=&#x2009;sex unidentified. For species abbreviations, see <xref rid="tab1" ref-type="table">Table 1</xref>.</p>
</caption>
<graphic xlink:href="fevo-11-1082226-g005.tif"/>
</fig>
<p>A comparison of the &#x03B4;<sup>34</sup>S data between the four species showed a different trend. On average, White-throated Oxylabes exhibited higher values compared to other ground dwelling species, among these, Grey-crowned Tetrakas had the lowest values. In both species, the males exhibited a much larger &#x03B4;<sup>34</sup>S niche than the females. Altogether, Grey-crowned Tetrakas had the smallest spread and the least overlap with the other four tetraka species. Pairwise comparison of species flank feather stable isotope similarity and nestedness using three elements (&#x03B4;<sup>13</sup>C, &#x03B4;<sup>15</sup>N, and &#x03B4;<sup>34</sup>S) showed low isotopic similarity and nestedness (<xref rid="tab4" ref-type="table">Table 4</xref>). Nonetheless, Spectacled Tetrakas and White-throated Oxylabes had a 62% overlap, while Grey-crowned and Spectacled Tetrakas shared 19% of the three-element isotopic niche area. Long-billed and Spectacled Tetrakas had the highest values of total isotopic area and SEAc (<xref ref-type="supplementary-material" rid="SM1">Supplementary Table S4</xref>).</p>
<table-wrap position="float" id="tab4">
<label>Table 4</label>
<caption>
<p>Pairwise comparison of species flank feather isotopic overlap metrics (based on convex hull volume) in three dimensions (&#x03B4;<sup>13</sup>C, &#x03B4;<sup>15</sup>N, and &#x03B4;<sup>34</sup>S).</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Species</th>
<th align="center" valign="top">Isotopic similarity (ISim)</th>
<th align="center" valign="top">Isotopic nestedness (%) (Inest)</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">
<bold>GRECTE&#x2009;~&#x2009;LOBITE</bold>
</td>
<td align="center" valign="top">0.004</td>
<td align="center" valign="top">5.0</td>
</tr>
<tr>
<td align="left" valign="top">
<bold>GRECTE&#x2009;~&#x2009;SPECTE</bold>
</td>
<td align="center" valign="top">0.003</td>
<td align="center" valign="top">19.0</td>
</tr>
<tr>
<td align="left" valign="top">
<bold>GRECTE&#x2009;~&#x2009;WITOXY</bold>
</td>
<td align="center" valign="top">0.000</td>
<td align="center" valign="top">0.0</td>
</tr>
<tr>
<td align="left" valign="top">
<bold>LOBITE&#x2009;~&#x2009;SPECTE</bold>
</td>
<td align="center" valign="top">0.014</td>
<td align="center" valign="top">3.7</td>
</tr>
<tr>
<td align="left" valign="top">
<bold>LOBITE&#x2009;~&#x2009;WITOXY</bold>
</td>
<td align="center" valign="top">0.000</td>
<td align="center" valign="top">0.0</td>
</tr>
<tr>
<td align="left" valign="top">
<bold>SPECTE&#x2009;~&#x2009;WITOXY</bold>
</td>
<td align="center" valign="top">0.070</td>
<td align="center" valign="top">62.0</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>Isotopic similarity (ISim) is the ratio between the shared volume and the union volume of the convex hulls (<xref rid="fig5" ref-type="fig">Figure 5</xref>). Isotopic nestedness (INest) is the ratio between the shared and unshared convex hull volume between two species. For species abbreviations, see <xref rid="tab1" ref-type="table">Table 1</xref>.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="sec15">
<title>Morphometry combined with stable isotope data</title>
<p>Wing and bill length were strongly (positively) correlated with higher &#x03B4;<sup>13</sup>C values, while being negatively correlated with &#x03B4;<sup>15</sup>N values to a lesser extent (<xref ref-type="supplementary-material" rid="SM1">Supplementary Table S5</xref>).</p>
<p>&#x03B4;<sup>34</sup>S values seemed to be very similarly positively correlated with both bill dimensions. This can also be seen in the loading and eigenvectors of the PCA (<xref rid="fig6" ref-type="fig">Figure 6</xref> and <xref ref-type="supplementary-material" rid="SM1">Supplementary Table S6</xref>), in which &#x03B4;<sup>15</sup>N stands out by itself. &#x03B4;<sup>13</sup>C and wing length, and &#x03B4;<sup>34</sup>S and bill width are very closely linked, respectively, and of similar relative importance in the first two principal axes, while bill length is linked with both in both axes. Having the smallest eigenvectors in the first two principal axes, tarsus length does not seem to be a useful variable for segregation of the groups at first. But in PC3, which represents about 13% of the variance, its eigenvector is by far the highest, indicating its relative importance in the multidimensional scale. <xref ref-type="supplementary-material" rid="SM2">Supplementary Figures S1A,B</xref> shows variation of isotope values by species and sex groups.</p>
<fig position="float" id="fig6">
<label>Figure 6</label>
<caption>
<p>Principal component analysis biplot of the morphological and stable isotope data. Species and sexes were not included in the analysis and only displayed for graphical analysis purposes. Correlation values are given in <xref ref-type="supplementary-material" rid="SM1">Supplementary Table S5</xref>. The proportion of variation explained by each PCA axis, and the relative importance of each variable are given in <xref ref-type="supplementary-material" rid="SM1">Supplementary Table S6</xref>. <italic>f</italic>&#x2009;=&#x2009;female, <italic>m</italic>&#x2009;=&#x2009;male, 0&#x2009;=&#x2009;sex unidentified. For species abbreviations, see <xref rid="tab1" ref-type="table">Table 1</xref>.</p>
</caption>
<graphic xlink:href="fevo-11-1082226-g006.tif"/>
</fig>
</sec>
</sec>
<sec id="sec16" sec-type="discussions">
<title>Discussion</title>
<p>The five tetraka species studied herein, all members of a bird family endemic to Madagascar and representing an adaptive radiation, showed considerable differences in morphological characters, exhibited varying degrees of sexual dimorphism, and had low isotopic similarity and limited isotopic niche overlap. The observed trait-based niche differentiation in tetrakas leads to the assumption that at Maromizaha, each of the five species (and individuals within the species) might consume a subset of the resources locally available, a phenomenon which could be described as species diet specialization in relation to morphology. Such differentiation might play a pivotal role in the diversification, adaptation and speciation in tropical birds. It is possible that these species have overlapping diets acquired from different strata of the forest canopy. This could explain why there is dietary variation among these tropical birds, with differences in the utilization of vertical forest strata playing a critical role in establishing unique niches (<xref ref-type="bibr" rid="ref31">Frith, 1984</xref>).</p>
<p>Long-billed Tetrakas were the most widely distributed, surprisingly even using a dry quarry outside the forest, whereas all other taxa were restricted to native forest with little degradation. Within the forest, most tetraka species were caught in the lower strata below 2&#x2009;m and very rarely above 2.5&#x2009;m, with only Long-billed Tetrakas regularly using higher forest strata. Long-billed Tetrakas seem to have a larger ecological niche, as they have been observed to venture beyond the forest and utilize higher strata, which is different from the behavior of other tetraka species investigated in this study. Additionally, the morphological differentiation of this species is more pronounced than anticipated, particularly with regards to their tarsus, wings, and bill length. Each of these measures has been attributed to specialization regarding avian feeding ecology and behavior. For instance, differences in bill morphology point toward how species or sexes within a species specialize in the prey they feed on (<xref ref-type="bibr" rid="ref57">Leisler and Winkler, 1985</xref>, <xref ref-type="bibr" rid="ref58">1991</xref>), shorter wings may facilitate moving through dense undergrowth (<xref ref-type="bibr" rid="ref104">Winkler and Leisler, 1985</xref>; <xref ref-type="bibr" rid="ref29">Forstmeier et al., 2001</xref>), whilst more robust tarsi enable birds to have a stronger grip on vegetation and substrate such as branches (<xref ref-type="bibr" rid="ref103">Winkler, 1988</xref>; <xref ref-type="bibr" rid="ref56">Leisler et al., 1989</xref>) and may provide insight into the types of perching substrates used by the birds. Males were often larger than females and this was most striking in the Long-billed Tetraka, where males had 7% longer tarsi, 18% longer wings and impressively 28% longer bills than females. The other tetraka species also showed sexual size dimorphism in multiple morphological measures, including the wing, tarsus, and beak, which point toward possible resource partitioning between sexes.</p>
<p>Regarding stable isotopes, there were only slight differences in &#x03B4;<sup>15</sup>N, as expected by a comparison between insectivorous taxa, however, species occurring closer to the ground had higher &#x03B4;<sup>15</sup>N values, indicating that their prey may be higher up in the food chain. Spiders, for example, should have higher &#x03B4;<sup>15</sup>N values as they prey on arthropods and are abundant in leaf litter (<xref ref-type="bibr" rid="ref68">Nyffeler, 1999</xref>). However, elevated &#x03B4;<sup>15</sup>N values may indicate not only trophic level but also the patterns of nitrogen cycling in the ecosystem. Different habitats can have varying levels of nitrogen availability and cycling rates, which can affect the &#x03B4;<sup>15</sup>N values of organisms living in those habitats (<xref ref-type="bibr" rid="ref16">Craine et al., 2009</xref>).</p>
<p>Comparison of the &#x03B4;<sup>34</sup>S data between the four species shows an overall similar trend, with higher values of &#x03B4;<sup>34</sup>S for the ground-dwelling White-throated Oxylabes, but interestingly also for the Long-billed Tetrakas, which uses higher strata more often than the other species. This may indicate differences in protein sources and sulfur-containing amino acids in diet such as cysteine and methionine (<xref ref-type="bibr" rid="ref10">Brosnan and Brosnan, 2006</xref>), the two principal sulfur-containing building blocks of proteins. However, additional research is necessary to confirm this hypothesis, for example, through the study of protein and amino acid specific stable isotopes found in insect prey.</p>
<p>The canopy effect describes vertical variation in &#x03B4;<sup>13</sup>C within plants throughout the forest canopy (<xref ref-type="bibr" rid="ref96">van der Merwe and Medina, 1991</xref>). Long-billed Tetrakas had the highest &#x03B4;<sup>13</sup>C values, which may be due to their use of higher strata in the canopy. Significant variation in &#x03B4;<sup>13</sup>C in response to height in combination with light availability and tree species was expected, as leaves in lower strata of the forest tend to exhibit lower &#x03B4;<sup>13</sup>C values compared to those in higher strata. While this vertical isotopic variation was not tested using plant leaves and insect consumers, the effect was expected to be directly reflected in the &#x03B4;<sup>13</sup>C of avian insect diet in the forest. Based on the triple elemental dissimilarity in the four tetraka species, we argue that some prey taxa were commonly consumed by one species and not others. Alternatively, the tetraka species might be preying on different taxa at the same trophic level. The correlations between wing and bill length and &#x03B4;<sup>13</sup>C and &#x03B4;<sup>15</sup>N values provides evidence that individual tetrakas may segregate into different habitat structures based on a combination of their physical characteristics and food preferences. Potential ecological factors that may contribute to this habitat segregation may include differences in microhabitat preference.</p>
<p>Thus, marginal nestedness in isotopic niche space indicates that the species use unique resources, enhancing their ability to avoid competition and the means for niche partitioning. We are aware that assumed dietary segregation was not assessed concurrently with resource abundance, which is likely to influence the degree of partitioning (<xref ref-type="bibr" rid="ref44">Holmes et al., 1986</xref>). More data is needed on this.</p>
<p>The observation of incomplete niche overlap and distinct isotopic signatures can be interpreted as evidence for the absence of strong competitive interactions between the organisms in question. Yet, the enhanced dissimilarities in isotope values could parsimoniously be explained by species foraging non-opportunistically as specialists, targeting specific prey items. Nevertheless, since there is a lack of detailed information on the diet and insect species involved, this assumption remains uncertain. The presence of differences and dissimilarities in these sympatric species appears to be essential to species coexistence, at least during the molting season. Insofar the presence of resource partitioning is not expected to lead to exclusion in a resource-rich system. Yet, if prey is scarce and resources are depleted, particularly during the dry season, it can skew the resource utilization pattern if molting coincides with this period. Overall, the isotopic distributions are consistent with well-known stable isotope distribution patterns along vertical strata in forest ecosystems (<xref ref-type="bibr" rid="ref96">Van der Merwe and Medina, 1991</xref>), supporting the prediction that similar endemic species partitioned their resources and habitat use in a complex manner.</p>
<p>Tetrakas varied in their morphology and isotopic niches, which could be described as ecological specializations, presumably necessary for coexistence. Some species showed a certain level of overlap in resource use, with modest resource specialization. The nature of this resource segregation, coupled with the data on morphological traits, provided evidence that birds occupy different niches to avoid dietary competition. In groups with high resource overlap with complementary distinct specializations, it is often understood that coexistence is explained as species being imperfect generalists with &#x201C;own&#x201D; resources available to individuals or species (<xref ref-type="bibr" rid="ref88">S&#x00E1;nchez-de Le&#x00F3;n et al., 2014</xref>). In fact, this might be linked to morphological traits. Elsewhere, this pattern is referred to as Liem&#x2019;s Paradox, where species show foraging specializations that permit resource access to unique prey items but still exhibit high niche overlap (<xref ref-type="bibr" rid="ref60">Liem, 1980</xref>; <xref ref-type="bibr" rid="ref2">Bandl et al., 2015</xref>; <xref ref-type="bibr" rid="ref33">Golcher-Benavides and Wagner, 2019</xref>). This might well be the case for the Spectacled Tetraka and its potential competitor, the White-throated Oxylabes, since they had an overlap of about 62% in the three dietary elements.</p>
<p>While the capture height data in this study is only qualitative and cannot be statistically linked to the isotope data, it can provide additional insight into the strata that the birds utilized, along with observations from previously published studies on foraging heights. Evidently, tetrakas enhance the likelihood of coexistence by dividing foraging spaces at a microhabitat level and not necessarily resources partitioning <italic>per se</italic> (e.g., <xref ref-type="bibr" rid="ref89">Schoener, 1974</xref>). These results complement the concept of species utilizing resources that other competitors could not, presumably due to morphological or behavioral constraints (e.g., <xref ref-type="bibr" rid="ref83">Robinson and Wilson, 1998</xref>; <xref ref-type="bibr" rid="ref88">S&#x00E1;nchez-de Le&#x00F3;n et al., 2014</xref>). It could well be expected that this may lead to a coexistence mechanism in the tetraka species, generating sex-based morphometric and isotopic niche differentiation within the larger niche space (<xref ref-type="bibr" rid="ref101">Wilson, 2010</xref>).</p>
<p>In Madagascar, when not breeding, insectivorous birds of different sizes, taxonomic groups and dietary preferences are known to form mixed-species flocks (<xref ref-type="bibr" rid="ref76">Rand, 1936</xref>), which are characterized by two or more individuals moving together to forage, profiting (1) from the disturbance created by the other members of the flock, i.e., by flushing up insects and (2) from increased vigilance with increasing flock size to detect predators. Most tetraka species are known to take part in such flocks (<xref ref-type="bibr" rid="ref87">Safford and Hawkins, 2013</xref>). This highly specialized cooperative behavior, coupled with the dissimilarities in their respective morphometric and isotopic spaces, could be an indication of their shared sympatric coevolutionary history. We assume that the co-adaptation of these species is based on niche differentiation, rather than outcompeting one another. This theory needs to be corroborated by detailed foraging studies and more precise data on the diet and habitat use of the tetrakas, including more species.</p>
<p>Morphological differences between the sexes were also reflected in their isotopic niches. The female isotopic niche was only part of the male niche in at least two species, the Long-billed and the Spectacled Tetraka. Males of at least two species (Long-billed and Spectacled Tetraka) appear to have extended niches, interestingly, away from the isotopic niches of the other taxa, which suggests that this leads to a reduction in competition for food but more data is needed. Long-billed and Spectacled Tetrakas had a wide range of &#x03B4;<sup>34</sup>S values implying a diverse sulfur containing dietary origins. Male Long-billed Tetrakas had heavier bills and it is very likely they prey on larger insects relative to females, presumably contributing to trophic niche extension in males. Thus, it could be argued that species dietary selection plays an important role in micro-habitat partitioning (vertical spatial distribution) and toward avoiding competition and therefore modulating the patterns of spatial use and coexistence between the sexes. Moreover, these data complement the assumption that niche overlaps and intraspecific competition might be minimized by increased specialization enforced through sexual dimorphism (e.g., <xref ref-type="bibr" rid="ref71">Pyke et al., 1977</xref>). These and additional assumptions described here are solely based on morphology and isotope values obtained during the feather growing season. To validate this, repeated and long-term empirical data as well as evidence for the differences in prey items taken by individuals of the same species are essential (<xref ref-type="bibr" rid="ref003">Roughgarden, 1972</xref> <xref ref-type="bibr" rid="ref001">Bolnick et al., 2002</xref> <xref ref-type="bibr" rid="ref002">Bolnik et al., 2007</xref>). Furthermore, stable isotope composition of the different species of insect prey needs to be studied in the different forest strata across different seasons and habitats. Morphometric data are crucial for the description of a species&#x2019; niche. Detailed assessment of diet and foraging behaviors are required to infer the sources of differences in morphometry. Identifying which ecological and evolutionary factors are the most important drivers of species specialization is pivotal in understanding how these ecological variations are promoted and sustained.</p>
</sec>
<sec id="sec17" sec-type="conclusions">
<title>Conclusion</title>
<p>We report considerable variation in isotopic niche positions, niche breadth and interspecific niche overlap in tetraka species that exhibit a close phylogenetic relationship. Morphological traits coupled with potential dietary groups and micro-habitat trends provided explanations of patterns of isotopic niche areas and positions. We conclude that dietary segregation may be based on specialized foraging strata and species &#x201C;spatial-resource&#x201D; specialization. The measurable differences found among these related species could be considered stratified resource use along the vertical canopy gradient, indicating habitat-based structural niches in tetrakas that might assist in reducing interspecific competition. These results refine knowledge of the species and their ecology. Even minor differences in the degree of species specialization among related taxa may have important implications for trophic structure. While disentangling these causes and differences is beyond the scope of this study, these results offer insights into the evolution of differential resource utilization through comparison of both phenotype and ecological aspects of endemic species in a tropical rainforest community. Finally, our results emphasize the efficacy of these proposed coexistence mechanisms through spatial segregation and therefore variation in nutrient acquisition. Future studies should examine the role of coexistence as a flexible strategy in complex, multi-species communities with phylogenetically closely related species. Studies that do not focus on a species&#x2019; sex groups may miss important ecological relationships, such as differences in resource use between sex groups. More detailed mechanisms can be elucidated by conducting further studies with larger sample sizes per species and sex group in multiple tetraka species across a wider geographic scale. Additionally, information on the isotopic signatures of plants and invertebrates in their habitats would be useful in interpreting the findings further.</p>
</sec>
<sec id="sec18" sec-type="data-availability">
<title>Data availability statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec id="sec19">
<title>Author contributions</title>
<p>J-LB, EY, and FW conceived and designed this study and prepared and edited the manuscript. FW collected the samples in the field and took all the measurements. EY performed the stable isotope analyses at the Stable Isotope Lab of the University of Konstanz. J-LB performed the laboratory work for molecular sexing at the Natural History Museum Stuttgart. J-LB and EY performed the morphological and stable isotope data analyses. All authors have read and agreed to the published version of the manuscript.</p>
</sec>
<sec id="sec20" sec-type="funding-information">
<title>Funding</title>
<p>This project was supported by funding by the &#x201C;Ausschuss f&#x00FC;r Forschungsfragen&#x201D; from the University of Konstanz.</p>
</sec>
<sec id="conf1" 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="sec100" 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>
</body>
<back>
<ack>
<p>We are indebted to the Malagasy authorities for granting all the relevant research and export permits (available upon request) and to the Groupe d&#x2019;&#x00C9;tude et de Recherche sur les Primates de Madagascar (GERP), namely Jonah Ratsimbazafy and Rose Marie Randrianarison, for letting us work at Maromizaha. Hajanirina Rakotomanana, Daniel Rakotondravony, and Zafimahery Rakotomalala at the Department of Animal Biology, University of Antananarivo supported us throughout the field study. We thank Jean-Robert Lekamisi, Lova Tahiry Rasolondraibe, Onja Randriamalala, Nicola Lillich, Pia Reufsteck and all the other assistants for their help in the field. We thank Wolfgang Kornberger and Claudia Greis for the assistance in the stable isotope lab. We are especially grateful to Jonah Ulmer for language editing and for commenting on earlier drafts of the manuscript. We thank Karl-Otto Rothhaupt for all the support. Finally, we thank the three reviewers for their valuable comments and suggestions that helped to improve the manuscript. All field research, collection of bird samples (specimens released after sampling) and their export was approved by the Madagascan Minist&#x00E8;re de l&#x2019;Environnement, des Eaux et des For&#x00EA;ts (Direction des Eaux et For&#x00EA;ts, DEF) now la Direction de la Pr&#x00E9;servation de la Biodiversit&#x00E9;, under the following permits: 10 September 2003 (No. 0182 et 0184/MINENVEF/SG/DGEF/DPB/SCBLF); 19 October 2004 (No. 234/MINENVEF/SG/DGEF/DPB/SCBLF/RECH); 4 November 2005 (No. 262 et 261/MINENVEF/SG/DGEF/DPB/SCBLF/RECH); 21 November 2006 (No. 275 et 276/MINENVEF/SG/DGEF/DPB/SCBLF/RECH); 4 December 2007 (No. 0296/07/MEEFT/SG/DGEF/ DPSAP/SSE); 19 November 2010 (No. 335/10/MEF/SG/ DGF/DCB.SAP/SCB; renewal of No. 296/07); 8 November 2012 (No. 284/12/MEF/SG/DGF/DCB.SAP/SCB); 7 October 2014 (No. 265/14/MEEF/SG/DGF/DCB.SAP/ScB); 11 October 2016 (No. 204/16/MEEF/SG/DGF/DCB.SAP/ScB.Re); 13 November 2018 (No. 279/18/MEEF/SG/DGF/DCB.SAP/ScB.Re).</p>
</ack>
<sec id="sec22" sec-type="supplementary-material">
<title>Supplementary material</title>
<p>The Supplementary material for this article can be found online at: <ext-link xlink:href="https://www.frontiersin.org/articles/10.3389/fevo.2023.1082226/full#supplementary-material" ext-link-type="uri">https://www.frontiersin.org/articles/10.3389/fevo.2023.1082226/full#supplementary-material</ext-link></p>
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<supplementary-material xlink:href="Image_1_v1.TIF" id="SM2" mimetype="application/tiff" xmlns:xlink="http://www.w3.org/1999/xlink"/>
</sec>
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