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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Bird Sci.</journal-id>
<journal-title-group>
<journal-title>Frontiers in Bird Science</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Bird Sci.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">2813-3870</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fbirs.2026.1740187</article-id>
<article-version article-version-type="Version of Record" vocab="NISO-RP-8-2008"/>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Brief Research Report</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Bird species traits in recreational areas &#x2013; building a human restoration value of bird species and connecting it to the mental well-being of recreationists in Germany</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name><surname>Vanh&#xf6;fen</surname><given-names>Janina</given-names></name>
<xref ref-type="corresp" rid="c001"><sup>*</sup></xref>
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<contrib contrib-type="author">
<name><surname>Kalb</surname><given-names>Nadine</given-names></name>
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<contrib contrib-type="author">
<name><surname>Randler</surname><given-names>Christoph</given-names></name>
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<aff id="aff1"><institution>Didactics of Biology, Department of Biology, Eberhard Karls University T&#xfc;bingen</institution>, <city>T&#xfc;bingen</city>,&#xa0;<country country="de">Germany</country></aff>
<author-notes>
<corresp id="c001"><label>*</label>Correspondence: Janina Vanh&#xf6;fen, <email xlink:href="mailto:janina.vanhoefen@uni-tuebingen.de">janina.vanhoefen@uni-tuebingen.de</email></corresp>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2026-02-20">
<day>20</day>
<month>02</month>
<year>2026</year>
</pub-date>
<pub-date publication-format="electronic" date-type="collection">
<year>2026</year>
</pub-date>
<volume>5</volume>
<elocation-id>1740187</elocation-id>
<history>
<date date-type="received">
<day>05</day>
<month>11</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>03</day>
<month>02</month>
<year>2026</year>
</date>
<date date-type="rev-recd">
<day>02</day>
<month>02</month>
<year>2026</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2026 Vanh&#xf6;fen, Kalb and Randler.</copyright-statement>
<copyright-year>2026</copyright-year>
<copyright-holder>Vanh&#xf6;fen, Kalb and Randler</copyright-holder>
<license>
<ali:license_ref start_date="2026-02-20">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>Preferences for animal species and their popularity vary significantly between species, even within a taxonomic group such as birds. Understanding which characteristics influence human preferences for certain bird species can help to promote targeted conservation measures and define so-called &#x2018;flagship species&#x2019; for conservation programs. However, the extent to which such species-specific characteristics also affect human psychological well-being remains largely unclear. The positive impact of interacting with birds on the human psyche is currently being researched. However, a grey goose could potentially have a different impact on the human experience of nature and, thus, also on psychological well-being in local recreation areas than, for example, a blue tit or a nightingale. Which species-specific characteristics play a role in this is still largely unclear. We therefore compiled data on species-specific characteristics for 118 bird species that were mapped in 40 different areas in southwest Germany. One factor was summarized from four species traits in a principal component analysis, building the human restoration value. An index was calculated for each location (HRV = human restoration value of bird species). In a second step, these indices were then correlated with the mental well-being and place attachment of 1,184 people in the 40 project areas. The results show a positive correlation between the HRV and satisfaction. Compiling species-specific characteristics relevant to human well-being into one factor, such as the HRV presented here, might enable future projects to investigate the recreational value of nature areas based on bird abundance.</p>
</abstract>
<kwd-group>
<kwd>bird species traits</kwd>
<kwd>human restoration value</kwd>
<kwd>human-bird interaction</kwd>
<kwd>mental well-being</kwd>
<kwd>recreational areas</kwd>
</kwd-group>
<funding-group>
<funding-statement>The author(s) declared that financial support was not received for this work and/or its publication.</funding-statement>
</funding-group>
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<ref-count count="63"/>
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<custom-meta-group>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Science of Birding</meta-value>
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</front>
<body>
<sec id="s1" sec-type="intro">
<label>1</label>
<title>Introduction</title>
<p>Well-being and mental health research is a rapidly growing field of study within the area of birds and ecology. One of the prominent ideas is that being outside in nature often leads to increased mental well-being among recreationists, with research typically focusing on the characteristics of the area or landscape. Earlier studies have also theorized that biodiversity is one of the main drivers of this phenomenon [see, for example, but not exclusively, <xref ref-type="bibr" rid="B1">Adjei and Agyei (2015)</xref>; <xref ref-type="bibr" rid="B17">De Vries and Snep (2019)</xref>; <xref ref-type="bibr" rid="B25">Houlden et&#xa0;al. (2021)</xref>]. Research has shown mixed results between the effects of biodiversity, perceived biodiversity, and experimentally increased biodiversity. We propose here that birds, as a key component of an area&#x2019;s characteristics, play an important role in this. Birds can be perceived both directly and unconsciously. They are a taxonomic group that is easily recognised and observed by people (<xref ref-type="bibr" rid="B14">Cox and Gaston, 2015</xref>), regardless of ornithological knowledge. Additionally, they are a common and well-studied taxon, sensitive to anthropogenic influences (<xref ref-type="bibr" rid="B22">Gregory et&#xa0;al., 2008</xref>) and therefore valuable indicators of biological diversity, ecological conditions, and environmental status (<xref ref-type="bibr" rid="B42">Randler and Koch, 2025</xref>). Their species characteristics are closely linked to their habitat and ecosystem services (<xref ref-type="bibr" rid="B48">Sekercioglu, 2006</xref>), and they are well-suited to connect urban residents with nature (<xref ref-type="bibr" rid="B5">Belaire et&#xa0;al., 2015</xref>). In contrast to many mammals and reptiles, birds are mostly diurnal, and many are found in urban areas. Some are also extremely common in city settings.</p>
<p>Birds have been linked to increased happiness (<xref ref-type="bibr" rid="B60">White et&#xa0;al., 2023</xref>) and improved mental health (<xref ref-type="bibr" rid="B62">Xie et&#xa0;al., 2023</xref>) in people. Their sounds play a crucial role (<xref ref-type="bibr" rid="B13">Chen et&#xa0;al., 2022</xref>) in stress relief, though not all bird sounds are equally beneficial (<xref ref-type="bibr" rid="B44">Ratcliffe et&#xa0;al., 2013</xref>). Earlier studies often focused on bird species richness (<xref ref-type="bibr" rid="B37">Methorst et&#xa0;al., 2021</xref>). Some also looked at the effects of bird observation (<xref ref-type="bibr" rid="B14">Cox and Gaston, 2015</xref>), or bird song (<xref ref-type="bibr" rid="B50">Stobbe et&#xa0;al., 2022</xref>), sometimes even attempting to artificially increase bird song to foster well-being (<xref ref-type="bibr" rid="B19">Ferraro et&#xa0;al., 2020</xref>). However, some research has found no association of bird species richness with people&#x2019;s mental well-being (<xref ref-type="bibr" rid="B15">Cox et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B51">Taylor et&#xa0;al., 2018</xref>). Some only found a relationship with perceived bird diversity instead of actual biodiversity measures (<xref ref-type="bibr" rid="B16">Dallimer et&#xa0;al., 2012</xref>). This inconsistent relationship between bird diversity, perceived bird diversity, and human mental health (<xref ref-type="bibr" rid="B34">Lovell et&#xa0;al., 2014</xref>) renders it difficult to measure if and how conservation efforts in nature could boost mental well-being. Since experiencing biodiverse urban green spaces can evidently bring joy (<xref ref-type="bibr" rid="B18">Douglas and Evans, 2021</xref>) and generally has positive effects (<xref ref-type="bibr" rid="B12">Carrus et&#xa0;al., 2015</xref>), it&#x2019;s important to look beyond general assessments of bird diversity and maybe look at the composition of bird species in an area.</p>
<p>To our knowledge, no studies have yet assessed the bird species characteristics and traits that may be responsible for the mental well-being of recreationists. Additionally, only a few studies have considered that not all bird species equally affect people [see, for example, <xref ref-type="bibr" rid="B20">Fisher et&#xa0;al. (2023)</xref>; <xref ref-type="bibr" rid="B21">Garnett et&#xa0;al. (2018)</xref>; <xref ref-type="bibr" rid="B42">Randler and Koch (2025)</xref>; <xref ref-type="bibr" rid="B43">Randler et&#xa0;al. (2023)</xref>; <xref ref-type="bibr" rid="B44">Ratcliffe et&#xa0;al. (2013)</xref>]. This might be important because there is a large variation in the perception, likeability, and preferences of bird species (<xref ref-type="bibr" rid="B2">Albert et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B57">Ver&#xed;ssimo et&#xa0;al., 2014</xref>; <xref ref-type="bibr" rid="B60">White et&#xa0;al., 2023</xref>) as well as in the bird species themselves. Aesthetically pleasing animals are often considered charismatic (<xref ref-type="bibr" rid="B41">Prokop et&#xa0;al., 2025</xref>; <xref ref-type="bibr" rid="B57">Ver&#xed;ssimo et&#xa0;al., 2014</xref>), and small and vividly colored birds are often perceived as more beautiful (<xref ref-type="bibr" rid="B23">Haukka et&#xa0;al., 2023</xref>; <xref ref-type="bibr" rid="B45">Santangeli et&#xa0;al., 2023</xref>). Most people also share a preference for birdsong (<xref ref-type="bibr" rid="B13">Chen et&#xa0;al., 2022</xref>), but some songs and calls can also annoy urban residents (<xref ref-type="bibr" rid="B5">Belaire et&#xa0;al., 2015</xref>; <xref ref-type="bibr" rid="B39">Pejchar et&#xa0;al., 2025</xref>). Some bird species, such as the hooded crow, for example, are also associated with problems such as trash scattering, noise disturbance, and aggressive behavior (<xref ref-type="bibr" rid="B29">K&#xf6;v&#xe9;r et&#xa0;al., 2022</xref>). <xref ref-type="bibr" rid="B32">Li&#x161;kov&#xe1; and Frynta (2013)</xref> have already emphasized that finding the traits that determine human preference towards birds may help promote conservation programs. Earlier studies on flagship species have suggested certain species characteristics of liked animal species, with a high body mass (<xref ref-type="bibr" rid="B46">Santar&#xe9;m et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B49">Smith et&#xa0;al., 2012</xref>), and a large body size often being linked to charisma (<xref ref-type="bibr" rid="B2">Albert et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B11">Callaghan et&#xa0;al., 2021</xref>).</p>
<p>Finding the species traits important for human mental well-being may explain the discrepancies between studies, since not all birds are present in all study areas similarly. The study by <xref ref-type="bibr" rid="B21">Garnett et&#xa0;al. (2018)</xref>, for example, found a preference for small colorful birds with melodious song, but participants then nominated mostly large and well-known species as most attractive. According to <xref ref-type="bibr" rid="B23">Haukka et&#xa0;al. (2023)</xref>, aesthetic attraction is dependent on a set of features that make something interesting or likable, usually composed of visual and emotional cues. This is why many liked species exhibit a bright appearance, colors, or color patterns (<xref ref-type="bibr" rid="B46">Santar&#xe9;m et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B57">Ver&#xed;ssimo et&#xa0;al., 2014</xref>). Aesthetic attraction seems to be highest for smaller birds, with vivid colors and extreme ornaments (<xref ref-type="bibr" rid="B45">Santangeli et&#xa0;al., 2023</xref>). Other factors seemingly playing a role are visibility, rarity, familiarity, or encounter rate (<xref ref-type="bibr" rid="B45">Santangeli et&#xa0;al., 2023</xref>; <xref ref-type="bibr" rid="B47">Schlegel and Rupf, 2010</xref>; <xref ref-type="bibr" rid="B57">Ver&#xed;ssimo et&#xa0;al., 2014</xref>). Some charismatic species are also considered &#x201c;sweet&#x201d; or &#x201c;cute&#x201d; (<xref ref-type="bibr" rid="B2">Albert et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B9">Borgi et&#xa0;al., 2014</xref>). The concept of <italic>cuteness</italic> is based on the baby schema by <xref ref-type="bibr" rid="B33">Lorenz (1943)</xref>, which sums up characteristics that are supposed to trigger an innate caring behavior in humans. These characteristics consist of a large head in relation to body size, short and thick extremities, a large set of eyes, a large, rounded forehead, and round, protruding, chubby cheeks (<xref ref-type="bibr" rid="B33">Lorenz, 1943</xref>). Animals exhibiting the baby schema are often perceived as cute and draw the viewer&#x2019;s attention (<xref ref-type="bibr" rid="B2">Albert et&#xa0;al., 2018</xref>). Bird species perceived as cute elicited a higher willingness to protect, as well as a bright coloration (<xref ref-type="bibr" rid="B42">Randler and Koch, 2025</xref>).</p>
<p>We hypothesize that the human perception of birds is strongly linked to mental well-being, and therefore, the species composition in an area may determine the mental well-being benefits received when visiting. In this study, we investigate the link between human perception of bird traits and well-being to determine if and how species composition in recreational areas affects place attachment and well-being of visitors.</p>
</sec>
<sec id="s2">
<label>2</label>
<title>Method</title>
<p>This study consists of two parts. First, a survey was conducted among people in recreational areas to assess their mental well-being. In the same areas, the bird species were recorded. In a second&#xa0;step, the well-being data were related to the bird species characteristics.</p>
<sec id="s2_1">
<label>2.1</label>
<title>Mental well-being</title>
<p>The pen-and-paper survey took place in May-June 2022 in 40 recreational areas between Rottenburg am Neckar and Stuttgart in Baden-W&#xfc;rttemberg, southwest Germany.</p>
<p>Using voluntary response sampling, pedestrians over the age of 18 were invited to participate in the questionnaire if they had already been in the respective area for a while. They answered the survey once, for a situational assessment after being in the study area. The study had 1184 participants. 54.9% of them identified as female, 44.1% as male (0.2% identified as diverse, 0.8% preferred not to answer the question). The age ranged from 18 to 89 years old (1.9% did not answer), with the mean age being 43.34 &#xb1; 17.75 years. For more details on the questionnaire, see <xref ref-type="table" rid="T1"><bold>Table&#xa0;1</bold></xref> and <xref ref-type="bibr" rid="B55">Vanh&#xf6;fen et&#xa0;al. (2025)</xref>.</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Mental well-being items for the biodiversity and health survey.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">Concept</th>
<th valign="middle" align="left">Item</th>
<th valign="middle" align="left">Source</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">Satisfaction<break/>(5-point Likert scale)</td>
<td valign="middle" align="left">Overall, how satisfied were you with your visit today?</td>
<td valign="middle" align="left"><xref ref-type="bibr" rid="B3">Arlinghaus (2006)</xref></td>
</tr>
<tr>
<td valign="middle" align="left">Emotions<break/>(5-point Likert scale)</td>
<td valign="middle" align="left">I feel&#x2026;<break/>Calm and relaxed<break/>Peaceful<break/>Refreshed</td>
<td valign="middle" align="left"><xref ref-type="bibr" rid="B58">White et&#xa0;al. (2013)</xref><break/><xref ref-type="bibr" rid="B61">Wyles et&#xa0;al. (2019)</xref></td>
</tr>
<tr>
<td valign="middle" align="left">Recalled Restoration<break/>(5- point Likert scale)</td>
<td valign="middle" align="left">How refreshed do you feel now compared to before your visit?</td>
<td valign="middle" align="left"><xref ref-type="bibr" rid="B63">Young et&#xa0;al. (2020)</xref></td>
</tr>
<tr>
<td valign="middle" align="left">Place attachment - Identity<break/>(5-point Likert scale)</td>
<td valign="middle" align="left">I feel very connected to this area here<break/>This area is very special to me.<break/>I can identify well with this area.</td>
<td valign="middle" align="left"><xref ref-type="bibr" rid="B8">Boley et&#xa0;al. (2021)</xref></td>
</tr>
<tr>
<td valign="middle" align="left">Place attachment - Recovery<break/>(5-point Likert scale)</td>
<td valign="middle" align="left">Visiting this place gives me a feeling of freedom.<break/>I can clear my head here.<break/>Being here helps me to feel healthy.</td>
<td valign="middle" align="left"><xref ref-type="bibr" rid="B10">Bryce et&#xa0;al. (2016)</xref></td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>For more information on the survey, see also <xref ref-type="bibr" rid="B55">Vanh&#xf6;fen et&#xa0;al. (2025)</xref>.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>Three subjective measures for assessing mental well-being were used: <italic>recalled restoration</italic>, <italic>emotions</italic>, and <italic>satisfaction</italic>.</p>
<p>Recalled restoration after the visit was asked for with one item, on a categorical scale with 6 categories adapted from <xref ref-type="bibr" rid="B63">Young et&#xa0;al. (2020)</xref>. For better comparability between the scales in our study, we recoded the recalled restoration Scale into a 0 (&#x201c;cannot say&#x201d;) to 5 (&#x201c;significantly more recovered&#x201d;) Likert scale, with 0 being considered as missing data.</p>
<p>Emotions or self-reported restoration were measured with three items on a 5-point Likert scale, adapted from <xref ref-type="bibr" rid="B59">White et&#xa0;al. (2020)</xref>; <xref ref-type="bibr" rid="B61">Wyles et&#xa0;al. (2019)</xref>. Items included questions for a situational positive state of mind. The scale had a Cronbach&#x2019;s alpha of 0.77 in our study.</p>
<p>Satisfaction was asked for with one item (Overall, how satisfied were you with your visit today)? on a categorical 5-point Likert scale adapted from <xref ref-type="bibr" rid="B3">Arlinghaus (2006)</xref>.</p>
<p>Additionally, we asked for place attachment on a 5-point Likert scale (full scale with a Cronbach&#x2019;s alpha = 0.88, <xref ref-type="bibr" rid="B55">Vanh&#xf6;fen et&#xa0;al. (2025)</xref>). Place attachment is the emotional bond humans form with a place. It has been influenced by visit satisfaction in earlier studies (<xref ref-type="bibr" rid="B40">Prayag and Ryan, 2011</xref>). <xref ref-type="bibr" rid="B10">Bryce et&#xa0;al. (2016)</xref> identified constructs of place identity and therapeutic value as cultural ecosystem services, benefitting people&#x2019;s well-being. According to them, most benefits associated with visiting nature can depend on specific habitats and landscapes. It could also possibly be connected to the bird species present in the area and their traits. According to factor analysis, the place attachment scale can be split into two variables, namely place attachment identity and place attachment recovery. The recovery scale (Cronbach&#x2019;s alpha = 0.86) is derived from the therapeutic value by the place attachment assessment of <xref ref-type="bibr" rid="B10">Bryce et&#xa0;al. (2016)</xref>. The identity scale (Cronbach&#x2019;s alpha = 0.87) is derived from the abbreviated three-item place identity scale of <xref ref-type="bibr" rid="B8">Boley et&#xa0;al. (2021)</xref>.</p>
</sec>
<sec id="s2_2">
<label>2.2</label>
<title>Bird species traits</title>
<sec id="s2_2_1">
<label>2.2.1</label>
<title>Bird species selection</title>
<p>The avifauna of Germany is typical of central Europe. The total list of bird species for Germany contains 527 bird species (including vagrants), of which about 250 are regular breeders. In addition, there are about 20 non-native breeding species (<xref ref-type="bibr" rid="B4">Barthel and Kr&#xfc;ger, 2019</xref>). Since only birds present in a respective area can be experienced by people, bird species and their abundance were recorded by ornithologists via the standard procedure of <xref ref-type="bibr" rid="B7">Bibby et&#xa0;al. (2000)</xref>. Bird surveys were carried out two times in the morning and once in the afternoon, with each morning survey having at least 3 weeks in between. In a 250m radius on footpaths, all individuals seen and heard in the span of 15 minutes were recorded. Data was then compiled into a list of all species recorded at each site, and the highest species frequency present was used further.</p>
<p>This data resulted in a total of 118 species present in the 40 study areas during the duration of the pen-and-paper survey (<xref ref-type="bibr" rid="B55">Vanh&#xf6;fen et&#xa0;al., 2025</xref>), for which the trait data were collected.</p>
</sec>
<sec id="s2_2_2">
<label>2.2.2</label>
<title>Variable selection and data collection</title>
<p>Cuteness data were taken from the study by <xref ref-type="bibr" rid="B42">Randler and Koch (2025)</xref>, in which the participants were asked to rate the cuteness of bird pictures on a 5-point Likert-type scale, following <xref ref-type="bibr" rid="B9">Borgi et&#xa0;al. (2014)</xref>.</p>
<p>Brightness data were taken from <xref ref-type="bibr" rid="B43">Randler et&#xa0;al. (2023)</xref>. In this study, 769 people estimated the brightness of the male breeding plumage on a scale from 0 to 100.</p>
<p>In another survey study (<xref ref-type="bibr" rid="B35">Lukanowski, 2023</xref>), participants were asked to rate bird song on their beauty on a Likert-type scale from 1 to 5, resulting in the data for the beauty of song. The audio was taken from <xref ref-type="bibr" rid="B6">Bergmann et&#xa0;al. (2020)</xref>.</p>
<p>Lastly, data on visual attractiveness were taken from the iRateBirds study by <xref ref-type="bibr" rid="B23">Haukka et&#xa0;al. (2023)</xref>, using the iRateBirds database. In this study, respondents (n = 6,212) were asked to rate the appearance of bird species on a scale from 1 (low) to 10 (high) based on photographs from the Cornell Lab of Ornithology&#x2019;s Macaulay Library.</p>
</sec>
</sec>
<sec id="s2_3">
<label>2.3</label>
<title>Statistical procedure</title>
<p>Statistical procedures and analyses were performed using SPSS (version 29.0.2.0) and Excel. For assessing internal consistency, we used Cronbach&#x2019;s &#x3b1;. For the exploratory factor analysis, we used a principal component analysis with a varimax extraction. And finally, for the correlation of factor scores with mental well-being data, we used Spearman&#x2019;s rho correlations.</p>
<sec id="s2_3_1">
<label>2.3.1</label>
<title>Factor analysis of variables</title>
<p>Based on a principal component analysis, the variables visual attractiveness, brightness, cuteness, and beauty of song were combined into a single factor, which was then saved as a standardized regression score, now labeled HRV<sub>species</sub> = human restoration value of the respective bird species.</p>
<p>All variables load strongly on one factor (see <xref ref-type="table" rid="T2"><bold>Table&#xa0;2</bold></xref>), allowing for continuing with only one component extracted.</p>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Component matrix. extraction method: principal component analysis.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">Variables</th>
<th valign="middle" align="left">Component 1 = HRV<sub>species</sub></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">Cuteness</td>
<td valign="middle" align="left">.855</td>
</tr>
<tr>
<td valign="middle" align="left">Brightness</td>
<td valign="middle" align="left">.618</td>
</tr>
<tr>
<td valign="middle" align="left">iRateBirds (visual attractiveness)</td>
<td valign="middle" align="left">.599</td>
</tr>
<tr>
<td valign="middle" align="left">Beauty of song</td>
<td valign="middle" align="left">.552</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s2_3_2">
<label>2.3.2</label>
<title>Value per place</title>
<p>The factor was then used to calculate values for each study area. For this value on the place level, the frequency of the respective bird species was used as well to account for mass or rarity occurrences of specific species. Every study area, therefore, receives a specific value for the HRV<sub>place</sub>.</p>
<disp-formula>
<mml:math display="block" id="M1"><mml:mrow><mml:mi>H</mml:mi><mml:mi>R</mml:mi><mml:msub><mml:mi>V</mml:mi><mml:mrow><mml:mi>P</mml:mi><mml:mi>l</mml:mi><mml:mi>a</mml:mi><mml:mi>c</mml:mi><mml:mi>e</mml:mi></mml:mrow></mml:msub><mml:mo>=</mml:mo><mml:mi>M</mml:mi><mml:mi>e</mml:mi><mml:mi>a</mml:mi><mml:mi>n</mml:mi><mml:mrow><mml:mo stretchy="false">(</mml:mo><mml:mrow><mml:munderover><mml:mo>&#x2211;</mml:mo><mml:mrow><mml:mi>s</mml:mi><mml:mi>p</mml:mi><mml:mi>e</mml:mi><mml:mi>c</mml:mi><mml:mi>i</mml:mi><mml:mi>e</mml:mi><mml:mi>s</mml:mi><mml:mo>=</mml:mo><mml:mn>1</mml:mn></mml:mrow><mml:mrow><mml:mn>118</mml:mn></mml:mrow></mml:munderover><mml:mrow><mml:mo stretchy="false">(</mml:mo><mml:mrow><mml:mi>H</mml:mi><mml:mi>R</mml:mi><mml:msub><mml:mi>V</mml:mi><mml:mrow><mml:mi>s</mml:mi><mml:mi>p</mml:mi><mml:mi>e</mml:mi><mml:mi>c</mml:mi><mml:mi>i</mml:mi><mml:mi>e</mml:mi><mml:mi>s</mml:mi></mml:mrow></mml:msub><mml:mo>*</mml:mo><mml:mi>f</mml:mi><mml:mi>r</mml:mi><mml:mi>e</mml:mi><mml:mi>q</mml:mi><mml:mi>u</mml:mi><mml:mi>e</mml:mi><mml:mi>n</mml:mi><mml:mi>c</mml:mi><mml:msub><mml:mi>y</mml:mi><mml:mrow><mml:mi>s</mml:mi><mml:mi>p</mml:mi><mml:mi>e</mml:mi><mml:mi>c</mml:mi><mml:mi>i</mml:mi><mml:mi>e</mml:mi><mml:mi>s</mml:mi></mml:mrow></mml:msub></mml:mrow><mml:mo stretchy="false">)</mml:mo></mml:mrow></mml:mrow><mml:mo stretchy="false">)</mml:mo></mml:mrow></mml:mrow></mml:math>
</disp-formula>
</sec>
<sec id="s2_3_3">
<label>2.3.3</label>
<title>Correlation with mental well-being</title>
<p>Finally, the HRV<sub>place</sub> was correlated with the mental well-being of people at the place level using a non-parametric Spearman-rho correlation analysis.</p>
</sec>
</sec>
</sec>
<sec id="s3" sec-type="results">
<label>3</label>
<title>Results</title>
<p>The factor values for the HRV of the respective bird species are shown in <xref ref-type="table" rid="T3"><bold>Table&#xa0;3</bold></xref>. The bird species are ranked from highest to lowest by their HRV<sub>species</sub> score. A high HRV<sub>species</sub> score means a positive evaluation of species traits.</p>
<table-wrap id="T3" position="float">
<label>Table&#xa0;3</label>
<caption>
<p>Bird species ranked according to their factor values of the HRV<sub>species</sub>.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">Nr.</th>
<th valign="middle" align="left">Species</th>
<th valign="middle" align="left">HRV<sub>species</sub></th>
<th valign="middle" align="left">Nr.</th>
<th valign="middle" align="left">Species</th>
<th valign="middle" align="left">HRV<sub>species</sub></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="right">1</td>
<td valign="middle" align="left"><italic>Erithacus rubecula</italic></td>
<td valign="middle" align="right">2.71</td>
<td valign="middle" align="right">60</td>
<td valign="middle" align="left"><italic>Motacilla alba</italic></td>
<td valign="middle" align="right">0.03</td>
</tr>
<tr>
<td valign="middle" align="right">2</td>
<td valign="middle" align="left"><italic>Cyanistes caeruleus</italic></td>
<td valign="middle" align="right">2.69</td>
<td valign="middle" align="right">61</td>
<td valign="middle" align="left"><italic>Picus canus</italic></td>
<td valign="middle" align="right">0.00</td>
</tr>
<tr>
<td valign="middle" align="right">3</td>
<td valign="middle" align="left"><italic>Parus major</italic></td>
<td valign="middle" align="right">2.05</td>
<td valign="middle" align="right">62</td>
<td valign="middle" align="left"><italic>Tadorna tadorna</italic></td>
<td valign="middle" align="right">0.00</td>
</tr>
<tr>
<td valign="middle" align="right">4</td>
<td valign="middle" align="left"><italic>Regulus ignicapilla</italic></td>
<td valign="middle" align="right">1.87</td>
<td valign="middle" align="right">63</td>
<td valign="middle" align="left"><italic>Acrocephalus arundinaceus</italic></td>
<td valign="middle" align="right">0.00</td>
</tr>
<tr>
<td valign="middle" align="right">5</td>
<td valign="middle" align="left"><italic>Pyrrhula pyrrhula</italic></td>
<td valign="middle" align="right">1.70</td>
<td valign="middle" align="right">64</td>
<td valign="middle" align="left"><italic>Larus michahellis</italic></td>
<td valign="middle" align="right">0.00</td>
</tr>
<tr>
<td valign="middle" align="right">6</td>
<td valign="middle" align="left"><italic>Emberiza citrinella</italic></td>
<td valign="middle" align="right">1.47</td>
<td valign="middle" align="right">65</td>
<td valign="middle" align="left"><italic>Muscicapa striata</italic></td>
<td valign="middle" align="right">-0.01</td>
</tr>
<tr>
<td valign="middle" align="right">7</td>
<td valign="middle" align="left"><italic>Poecile montanus</italic></td>
<td valign="middle" align="right">1.46</td>
<td valign="middle" align="right">66</td>
<td valign="middle" align="left"><italic>Certhia brachydactyla</italic></td>
<td valign="middle" align="right">-0.03</td>
</tr>
<tr>
<td valign="middle" align="right">8</td>
<td valign="middle" align="left"><italic>Carduelis carduelis</italic></td>
<td valign="middle" align="right">1.43</td>
<td valign="middle" align="right">67</td>
<td valign="middle" align="left"><italic>Mergus merganser</italic></td>
<td valign="middle" align="right">-0.03</td>
</tr>
<tr>
<td valign="middle" align="right">9</td>
<td valign="middle" align="left"><italic>Alcedo atthis</italic></td>
<td valign="middle" align="right">1.31</td>
<td valign="middle" align="right">68</td>
<td valign="middle" align="left"><italic>Aythya fuligula</italic></td>
<td valign="middle" align="right">-0.05</td>
</tr>
<tr>
<td valign="middle" align="right">10</td>
<td valign="middle" align="left"><italic>Regulus regulus</italic></td>
<td valign="middle" align="right">1.27</td>
<td valign="middle" align="right">69</td>
<td valign="middle" align="left"><italic>Fringilla montifringilla</italic></td>
<td valign="middle" align="right">-0.07</td>
</tr>
<tr>
<td valign="middle" align="right">11</td>
<td valign="middle" align="left"><italic>Hirundo rustica</italic></td>
<td valign="middle" align="right">1.26</td>
<td valign="middle" align="right">70</td>
<td valign="middle" align="left"><italic>Lullula arborea</italic></td>
<td valign="middle" align="right">-0.07</td>
</tr>
<tr>
<td valign="middle" align="right">12</td>
<td valign="middle" align="left"><italic>Fringilla coelebs</italic></td>
<td valign="middle" align="right">1.24</td>
<td valign="middle" align="right">71</td>
<td valign="middle" align="left"><italic>Milvus migrans</italic></td>
<td valign="middle" align="right">-0.08</td>
</tr>
<tr>
<td valign="middle" align="right">13</td>
<td valign="middle" align="left"><italic>Periparus ater</italic></td>
<td valign="middle" align="right">1.15</td>
<td valign="middle" align="right">72</td>
<td valign="middle" align="left"><italic>Tadorna ferruginea</italic></td>
<td valign="middle" align="right">-0.08</td>
</tr>
<tr>
<td valign="middle" align="right">14</td>
<td valign="middle" align="left"><italic>Oriolus oriolus</italic></td>
<td valign="middle" align="right">1.08</td>
<td valign="middle" align="right">73</td>
<td valign="middle" align="left"><italic>Passer domesticus</italic></td>
<td valign="middle" align="right">-0.12</td>
</tr>
<tr>
<td valign="middle" align="right">15</td>
<td valign="middle" align="left"><italic>Poecile palustris</italic></td>
<td valign="middle" align="right">0.99</td>
<td valign="middle" align="right">74</td>
<td valign="middle" align="left"><italic>Acrocephalus scirpaceus</italic></td>
<td valign="middle" align="right">-0.15</td>
</tr>
<tr>
<td valign="middle" align="right">16</td>
<td valign="middle" align="left"><italic>Aegithalos caudatus</italic></td>
<td valign="middle" align="right">0.92</td>
<td valign="middle" align="right">75</td>
<td valign="middle" align="left"><italic>Circus aeruginosus</italic></td>
<td valign="middle" align="right">-0.18</td>
</tr>
<tr>
<td valign="middle" align="right">17</td>
<td valign="middle" align="left"><italic>Picus viridis</italic></td>
<td valign="middle" align="right">0.91</td>
<td valign="middle" align="right">76</td>
<td valign="middle" align="left"><italic>Coturnix coturnix</italic></td>
<td valign="middle" align="right">-0.22</td>
</tr>
<tr>
<td valign="middle" align="right">18</td>
<td valign="middle" align="left"><italic>Aix galericulata</italic></td>
<td valign="middle" align="right">0.91</td>
<td valign="middle" align="right">77</td>
<td valign="middle" align="left"><italic>Turdus merula</italic></td>
<td valign="middle" align="right">-0.22</td>
</tr>
<tr>
<td valign="middle" align="right">19</td>
<td valign="middle" align="left"><italic>Coccothraustes coccothraustes</italic></td>
<td valign="middle" align="right">0.91</td>
<td valign="middle" align="right">78</td>
<td valign="middle" align="left"><italic>Falco subbuteo</italic></td>
<td valign="middle" align="right">-0.24</td>
</tr>
<tr>
<td valign="middle" align="right">20</td>
<td valign="middle" align="left"><italic>Phoenicurus phoenicurus</italic></td>
<td valign="middle" align="right">0.89</td>
<td valign="middle" align="right">79</td>
<td valign="middle" align="left"><italic>Accipter nisus</italic></td>
<td valign="middle" align="right">-0.24</td>
</tr>
<tr>
<td valign="middle" align="right">21</td>
<td valign="middle" align="left"><italic>Ficedula hypoleuca</italic></td>
<td valign="middle" align="right">0.81</td>
<td valign="middle" align="right">80</td>
<td valign="middle" align="left"><italic>Pernis apivorus</italic></td>
<td valign="middle" align="right">-0.26</td>
</tr>
<tr>
<td valign="middle" align="right">22</td>
<td valign="middle" align="left"><italic>Phylloscopus trochilus</italic></td>
<td valign="middle" align="right">0.81</td>
<td valign="middle" align="right">81</td>
<td valign="middle" align="left"><italic>Garrulus glandarius</italic></td>
<td valign="middle" align="right">-0.29</td>
</tr>
<tr>
<td valign="middle" align="right">23</td>
<td valign="middle" align="left"><italic>Dendrocopos major</italic></td>
<td valign="middle" align="right">0.80</td>
<td valign="middle" align="right">82</td>
<td valign="middle" align="left"><italic>Sturnus vulgaris</italic></td>
<td valign="middle" align="right">-0.30</td>
</tr>
<tr>
<td valign="middle" align="right">24</td>
<td valign="middle" align="left"><italic>Falco tinnunculus</italic></td>
<td valign="middle" align="right">0.79</td>
<td valign="middle" align="right">83</td>
<td valign="middle" align="left"><italic>Prunella modularis</italic></td>
<td valign="middle" align="right">-0.33</td>
</tr>
<tr>
<td valign="middle" align="right">25</td>
<td valign="middle" align="left"><italic>Leiopicus medius</italic></td>
<td valign="middle" align="right">0.77</td>
<td valign="middle" align="right">84</td>
<td valign="middle" align="left"><italic>Sylvia atricapilla</italic></td>
<td valign="middle" align="right">-0.34</td>
</tr>
<tr>
<td valign="middle" align="right">26</td>
<td valign="middle" align="left"><italic>Saxicola rubicola</italic></td>
<td valign="middle" align="right">0.76</td>
<td valign="middle" align="right">85</td>
<td valign="middle" align="left"><italic>Anthus spinoletta</italic></td>
<td valign="middle" align="right">-0.36</td>
</tr>
<tr>
<td valign="middle" align="right">27</td>
<td valign="middle" align="left"><italic>Delichon urbicum</italic></td>
<td valign="middle" align="right">0.68</td>
<td valign="middle" align="right">86</td>
<td valign="middle" align="left"><italic>Turdus pilaris</italic></td>
<td valign="middle" align="right">-0.39</td>
</tr>
<tr>
<td valign="middle" align="right">28</td>
<td valign="middle" align="left"><italic>Sitta europaea</italic></td>
<td valign="middle" align="right">0.66</td>
<td valign="middle" align="right">87</td>
<td valign="middle" align="left"><italic>Anas crecca</italic></td>
<td valign="middle" align="right">-0.41</td>
</tr>
<tr>
<td valign="middle" align="right">29</td>
<td valign="middle" align="left"><italic>Vanellus vanellus</italic></td>
<td valign="middle" align="right">0.63</td>
<td valign="middle" align="right">88</td>
<td valign="middle" align="left"><italic>Tachybaptus ruficollis</italic></td>
<td valign="middle" align="right">-0.46</td>
</tr>
<tr>
<td valign="middle" align="right">30</td>
<td valign="middle" align="left"><italic>Spinus spinus</italic></td>
<td valign="middle" align="right">0.63</td>
<td valign="middle" align="right">89</td>
<td valign="middle" align="left"><italic>Cuculus canorus</italic></td>
<td valign="middle" align="right">-0.46</td>
</tr>
<tr>
<td valign="middle" align="right">31</td>
<td valign="middle" align="left"><italic>Troglodytes troglodytes</italic></td>
<td valign="middle" align="right">0.58</td>
<td valign="middle" align="right">90</td>
<td valign="middle" align="left"><italic>Aythya ferina</italic></td>
<td valign="middle" align="right">-0.49</td>
</tr>
<tr>
<td valign="middle" align="right">32</td>
<td valign="middle" align="left"><italic>Motacilla flava</italic></td>
<td valign="middle" align="right">0.53</td>
<td valign="middle" align="right">91</td>
<td valign="middle" align="left"><italic>Passer montanus</italic></td>
<td valign="middle" align="right">-0.51</td>
</tr>
<tr>
<td valign="middle" align="right">33</td>
<td valign="middle" align="left"><italic>Lophophanes cristatus</italic></td>
<td valign="middle" align="right">0.51</td>
<td valign="middle" align="right">92</td>
<td valign="middle" align="left"><italic>Acrocephalus palustris</italic></td>
<td valign="middle" align="right">-0.51</td>
</tr>
<tr>
<td valign="middle" align="right">34</td>
<td valign="middle" align="left"><italic>Certhia familiaris</italic></td>
<td valign="middle" align="right">0.49</td>
<td valign="middle" align="right">93</td>
<td valign="middle" align="left"><italic>Anas platyrhynchos</italic></td>
<td valign="middle" align="right">-0.61</td>
</tr>
<tr>
<td valign="middle" align="right">35</td>
<td valign="middle" align="left"><italic>Turdus viscivorus</italic></td>
<td valign="middle" align="right">0.37</td>
<td valign="middle" align="right">94</td>
<td valign="middle" align="left"><italic>Streptopelia decaocto</italic></td>
<td valign="middle" align="right">-0.66</td>
</tr>
<tr>
<td valign="middle" align="right">36</td>
<td valign="middle" align="left"><italic>Anser indicus</italic></td>
<td valign="middle" align="right">0.36</td>
<td valign="middle" align="right">95</td>
<td valign="middle" align="left"><italic>Anthus pratensis</italic></td>
<td valign="middle" align="right">-0.67</td>
</tr>
<tr>
<td valign="middle" align="right">37</td>
<td valign="middle" align="left"><italic>Motacilla cinerea</italic></td>
<td valign="middle" align="right">0.33</td>
<td valign="middle" align="right">96</td>
<td valign="middle" align="left"><italic>Milvus milvus</italic></td>
<td valign="middle" align="right">-0.69</td>
</tr>
<tr>
<td valign="middle" align="right">38</td>
<td valign="middle" align="left"><italic>Serinus serinus</italic></td>
<td valign="middle" align="right">0.33</td>
<td valign="middle" align="right">97</td>
<td valign="middle" align="left"><italic>Alauda arvensis</italic></td>
<td valign="middle" align="right">-0.73</td>
</tr>
<tr>
<td valign="middle" align="right">39</td>
<td valign="middle" align="left"><italic>Phylloscopus collybita</italic></td>
<td valign="middle" align="right">0.32</td>
<td valign="middle" align="right">98</td>
<td valign="middle" align="left"><italic>Cygnus olor</italic></td>
<td valign="middle" align="right">-0.77</td>
</tr>
<tr>
<td valign="middle" align="right">40</td>
<td valign="middle" align="left"><italic>Asio otus</italic></td>
<td valign="middle" align="right">0.28</td>
<td valign="middle" align="right">99</td>
<td valign="middle" align="left"><italic>Dryocopus martius</italic></td>
<td valign="middle" align="right">-0.79</td>
</tr>
<tr>
<td valign="middle" align="right">41</td>
<td valign="middle" align="left"><italic>Phalacrocorax carbo</italic></td>
<td valign="middle" align="right">0.28</td>
<td valign="middle" align="right">100</td>
<td valign="middle" align="left"><italic>Pica pica</italic></td>
<td valign="middle" align="right">-0.85</td>
</tr>
<tr>
<td valign="middle" align="right">42</td>
<td valign="middle" align="left"><italic>Phylloscopus sibilatrix</italic></td>
<td valign="middle" align="right">0.27</td>
<td valign="middle" align="right">101</td>
<td valign="middle" align="left"><italic>Ciconia ciconia</italic></td>
<td valign="middle" align="right">-1.00</td>
</tr>
<tr>
<td valign="middle" align="right">43</td>
<td valign="middle" align="left"><italic>Sylvia borin</italic></td>
<td valign="middle" align="right">0.27</td>
<td valign="middle" align="right">102</td>
<td valign="middle" align="left"><italic>Fulica atra</italic></td>
<td valign="middle" align="right">-1.04</td>
</tr>
<tr>
<td valign="middle" align="right">44</td>
<td valign="middle" align="left"><italic>Emberiza schoeniclus</italic></td>
<td valign="middle" align="right">0.25</td>
<td valign="middle" align="right">103</td>
<td valign="middle" align="left"><italic>Gallinula chloropus</italic></td>
<td valign="middle" align="right">-1.11</td>
</tr>
<tr>
<td valign="middle" align="right">45</td>
<td valign="middle" align="left"><italic>Netta rufina</italic></td>
<td valign="middle" align="right">0.21</td>
<td valign="middle" align="right">104</td>
<td valign="middle" align="left"><italic>Chroicocephalus ribibundus</italic></td>
<td valign="middle" align="right">-1.13</td>
</tr>
<tr>
<td valign="middle" align="right">46</td>
<td valign="middle" align="left"><italic>Ficedula albicollis</italic></td>
<td valign="middle" align="right">0.21</td>
<td valign="middle" align="right">105</td>
<td valign="middle" align="left"><italic>Apus apus</italic></td>
<td valign="middle" align="right">-1.22</td>
</tr>
<tr>
<td valign="middle" align="right">47</td>
<td valign="middle" align="left"><italic>Sylvia curruca</italic></td>
<td valign="middle" align="right">0.20</td>
<td valign="middle" align="right">106</td>
<td valign="middle" align="left"><italic>Columba oenas</italic></td>
<td valign="middle" align="right">-1.33</td>
</tr>
<tr>
<td valign="middle" align="right">48</td>
<td valign="middle" align="left"><italic>Chloris chloris</italic></td>
<td valign="middle" align="right">0.15</td>
<td valign="middle" align="right">107</td>
<td valign="middle" align="left"><italic>Jynx torquilla</italic></td>
<td valign="middle" align="right">-1.34</td>
</tr>
<tr>
<td valign="middle" align="right">49</td>
<td valign="middle" align="left"><italic>Phoenicurus ochruros</italic></td>
<td valign="middle" align="right">0.14</td>
<td valign="middle" align="right">108</td>
<td valign="middle" align="left"><italic>Buteo buteo</italic></td>
<td valign="middle" align="right">-1.40</td>
</tr>
<tr>
<td valign="middle" align="right">50</td>
<td valign="middle" align="left"><italic>Lanius collurio</italic></td>
<td valign="middle" align="right">0.12</td>
<td valign="middle" align="right">109</td>
<td valign="middle" align="left"><italic>Alopochen aegyptiaca</italic></td>
<td valign="middle" align="right">-1.41</td>
</tr>
<tr>
<td valign="middle" align="right">51</td>
<td valign="middle" align="left"><italic>Sylvia communis</italic></td>
<td valign="middle" align="right">0.10</td>
<td valign="middle" align="right">110</td>
<td valign="middle" align="left"><italic>Anser anser</italic></td>
<td valign="middle" align="right">-1.71</td>
</tr>
<tr>
<td valign="middle" align="right">52</td>
<td valign="middle" align="left"><italic>Ardea alba</italic></td>
<td valign="middle" align="right">0.10</td>
<td valign="middle" align="right">111</td>
<td valign="middle" align="left"><italic>Columba palumbus</italic></td>
<td valign="middle" align="right">-1.76</td>
</tr>
<tr>
<td valign="middle" align="right">53</td>
<td valign="middle" align="left"><italic>Emberiza hortulana</italic></td>
<td valign="middle" align="right">0.10</td>
<td valign="middle" align="right">112</td>
<td valign="middle" align="left"><italic>Corvus corone</italic></td>
<td valign="middle" align="right">-1.82</td>
</tr>
<tr>
<td valign="middle" align="right">54</td>
<td valign="middle" align="left"><italic>Anthus trivialis</italic></td>
<td valign="middle" align="right">0.10</td>
<td valign="middle" align="right">113</td>
<td valign="middle" align="left"><italic>Columba livia</italic></td>
<td valign="middle" align="right">-2.15</td>
</tr>
<tr>
<td valign="middle" align="right">55</td>
<td valign="middle" align="left"><italic>Linaria cannabina</italic></td>
<td valign="middle" align="right">0.10</td>
<td valign="middle" align="right">114</td>
<td valign="middle" align="left"><italic>Ardea cinerea</italic></td>
<td valign="middle" align="right">-2.15</td>
</tr>
<tr>
<td valign="middle" align="right">56</td>
<td valign="middle" align="left"><italic>Charadrius dubius</italic></td>
<td valign="middle" align="right">0.08</td>
<td valign="middle" align="right">115</td>
<td valign="middle" align="left"><italic>Corvus corax</italic></td>
<td valign="middle" align="right">-2.17</td>
</tr>
<tr>
<td valign="middle" align="right">57</td>
<td valign="middle" align="left"><italic>Luscinia megarhynchos</italic></td>
<td valign="middle" align="right">0.08</td>
<td valign="middle" align="right">116</td>
<td valign="middle" align="left"><italic>Circus cyaneus</italic></td>
<td valign="middle" align="right">-2.32</td>
</tr>
<tr>
<td valign="middle" align="right">58</td>
<td valign="middle" align="left"><italic>Turdus philomelos</italic></td>
<td valign="middle" align="right">0.07</td>
<td valign="middle" align="right">117</td>
<td valign="middle" align="left"><italic>Coloeus monedula</italic></td>
<td valign="middle" align="right">-2.43</td>
</tr>
<tr>
<td valign="middle" align="right">59</td>
<td valign="middle" align="left"><italic>Podiceps cristatus</italic></td>
<td valign="middle" align="right">0.06</td>
<td valign="middle" align="right">118</td>
<td valign="middle" align="left"><italic>Corvus frugilegus</italic></td>
<td valign="middle" align="right">-2.45</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>For the correlation with mental well-being, the HRV significantly correlated with satisfaction (<xref ref-type="table" rid="T4"><bold>Table&#xa0;4</bold></xref>). However, the other correlations falied significance only marginally.</p>
<table-wrap id="T4" position="float">
<label>Table&#xa0;4</label>
<caption>
<p>Spearman&#xb4;s rho correlation of the mental well-being variables with the subjective HRV on the place level (N = 40).</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" colspan="2" align="left"/>
<th valign="middle" align="left">HRV<sub>place</sub></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" rowspan="2" align="left">Emotions</td>
<td valign="middle" align="left">Correlation Coefficient</td>
<td valign="middle" align="left">.289</td>
</tr>
<tr>
<td valign="middle" align="left">Sig. (2-tailed)</td>
<td valign="middle" align="left">.071</td>
</tr>
<tr>
<td valign="middle" rowspan="2" align="left"><bold>Satisfaction</bold></td>
<td valign="middle" align="left">Correlation Coefficient</td>
<td valign="middle" align="left"><bold>.357*</bold></td>
</tr>
<tr>
<td valign="middle" align="left">Sig. (2-tailed)</td>
<td valign="middle" align="left"><bold>.024</bold></td>
</tr>
<tr>
<td valign="middle" rowspan="2" align="left">Restoration</td>
<td valign="middle" align="left">Correlation Coefficient</td>
<td valign="middle" align="left">.283</td>
</tr>
<tr>
<td valign="middle" align="left">Sig. (2-tailed)</td>
<td valign="middle" align="left">.076</td>
</tr>
<tr>
<td valign="middle" rowspan="2" align="left">Place Attachment Identity</td>
<td valign="middle" align="left">Correlation Coefficient</td>
<td valign="middle" align="left">.127</td>
</tr>
<tr>
<td valign="middle" align="left">Sig. (2-tailed)</td>
<td valign="middle" align="left">.433</td>
</tr>
<tr>
<td valign="middle" rowspan="2" align="left">Place Attachment Recovery</td>
<td valign="middle" align="left">Correlation Coefficient</td>
<td valign="middle" align="left">.269</td>
</tr>
<tr>
<td valign="middle" align="left">Sig. (2-tailed)</td>
<td valign="middle" align="left">.093</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>*Correlation is significant at the 0.05 level (2-tailed).</p></fn>
<fn>
<p>Bold text indicates significant values.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>With increasing HRV<sub>place</sub>, satisfaction with the visit increased significantly (<xref ref-type="fig" rid="f1"><bold>Figure&#xa0;1</bold></xref>). This also means that bird species with a high HRV<sub>species</sub> (for example, <italic>Erithacus rubecula</italic> or <italic>Cyanistes caeruleus</italic>) have a positive effect on satisfaction after the visit. In contrast, species like Carrion Crow (<italic>Corvus corone)</italic> or Feral Pigeon (<italic>Columba livia</italic> f. <italic>domestica)</italic> negatively affect the satisfactory value of a given place. By using the species frequency in the HRV<sub>place</sub> calculation, we were able to account for mass aggregations, which are often found in geese, pigeons, or crows, and which are a reality for urban parks.</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Scatter plot of the positive relationship between HRV<sub>place</sub> and satisfaction.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fbirs-05-1740187-g001.tif">
<alt-text content-type="machine-generated">Scatterplot displaying the relationship between Satisfaction on the x-axis and HRV(place) on the y-axis, with individual data points clustered and a slight positive linear trend indicated by the regression line.</alt-text>
</graphic></fig>
</sec>
<sec id="s4" sec-type="discussion">
<label>4</label>
<title>Discussion</title>
<p>We here propose a new measure, the Human Restoration Value, to assess the beneficial influence of birds on human well-being. For this value, bird species traits were combined into one value and then related to the mental well-being of humans. This method could potentially be used for many other conservation questions, as discussed below. Each bird species was assigned a value that is based on previous studies on likeability, pleasantness, and attractiveness. Thus, more likable species receive a higher value. This factor can now be used to determine which bird species are perceived favorably by people.</p>
<p>Moreover, based on field work on 40 different places, we were able to assign a well-being value based on the species traits and the bird diversity to each of the areas. This value has been connected to on-site data of well-being in human participants to investigate how species composition affects mental well-being.</p>
<p>Bird species receiving a higher HRV score are mostly species commonly rated as cute, colorful, visually attractive, and with a nice song. Therefore, it is not surprising that this factor significantly correlates with satisfaction. High biodiversity levels are theorized to help with psychophysiological stress recovery, according to the Stress Reduction Theory [= SRT (<xref ref-type="bibr" rid="B53">Ulrich, 1983</xref>; <xref ref-type="bibr" rid="B54">Ulrich et&#xa0;al., 1991</xref>)]. Additionally, spending time in nature, according to the Attention Restoration Theory (ART), facilitates recovery from attentional fatigue (<xref ref-type="bibr" rid="B27">Kaplan and Kaplan, 1989</xref>; <xref ref-type="bibr" rid="B28">Kaplan, 1995</xref>). Areas with more beneficial bird species could therefore help with stress reduction and restoration.</p>
<p>Bird song has been associated with stress reduction (<xref ref-type="bibr" rid="B44">Ratcliffe et&#xa0;al., 2013</xref>), being able to buffer the negative effects of traffic noise (<xref ref-type="bibr" rid="B52">Uebel et&#xa0;al., 2022</xref>), and improving anxiety (<xref ref-type="bibr" rid="B50">Stobbe et&#xa0;al., 2022</xref>), making them a very important part of urban soundscapes. A perceptively beautiful bird song is important for the HRV and mental well-being of people, since sounds are one of the most important factors for stimulating well-being responses (<xref ref-type="bibr" rid="B20">Fisher et&#xa0;al., 2023</xref>), underscoring the notion that birds singing beautifully have a positive impact and birds screaming or warning have a more negative one. Bird diversity is also often perceived by humans in the form of bird song (<xref ref-type="bibr" rid="B19">Ferraro et&#xa0;al., 2020</xref>).</p>
<p>The appearance of a bird species, on the other hand, is also very important as the second way in which people mostly perceive birds: visually. In the study by <xref ref-type="bibr" rid="B20">Fisher et&#xa0;al. (2023)</xref>, colors and behavior followed behind sound as a determinant of well-being. Attractive birds are colorful, with a bright appearance, and big ornaments (<xref ref-type="bibr" rid="B45">Santangeli et&#xa0;al., 2023</xref>; <xref ref-type="bibr" rid="B46">Santar&#xe9;m et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B57">Ver&#xed;ssimo et&#xa0;al., 2014</xref>). Bigger birds, on the other hand, are often seen as less attractive (<xref ref-type="bibr" rid="B45">Santangeli et&#xa0;al., 2023</xref>). These differing factors have to be kept in mind when looking at the &#x201c;attractiveness&#x201d; of birds, since attractiveness is a subjective feeling. This is why we added cuteness, brightness, and the beauty of song as variables. All of them are variables, which are subjectively perceived by people experiencing birds.</p>
<p>The HRV is correlated with the well-being variable satisfaction. Emotions, on the other hand, as well as recalled restoration, and the two place-attachment scales are not. Place attachment is strongly linked to perceived restorativeness and perceived restorative potential of an area (<xref ref-type="bibr" rid="B36">Menatti et&#xa0;al., 2019</xref>). It consists of two constructs: place attachment identity and place attachment recovery, with the place attachment recovery scale asking for feelings of freedom, clear head, and health (<xref ref-type="bibr" rid="B10">Bryce et&#xa0;al., 2016</xref>). Differing to that, recalled restoration asked for feelings of being refreshed (<xref ref-type="bibr" rid="B63">Young et&#xa0;al., 2020</xref>). Therefore, beautiful bird song, visual attractivity, cuteness, and brightness do not actually influence refreshment or positive emotions, but satisfaction with a visit. Therefore, bird species like <italic>Erithacus rubecula</italic> or <italic>Cyanistes caeruleus</italic> may themselves have a positive impact, or they go together with positively connoted habitats or structures. This could be since people do not consciously experience bird diversity in the study areas but more unconsciously (<xref ref-type="bibr" rid="B55">Vanh&#xf6;fen et&#xa0;al., 2025</xref>, <xref ref-type="bibr" rid="B56">Vanh&#xf6;fen et&#xa0;al., 2022</xref>), and needs to be studied further. Also, the sheer amount of positively perceived birds present in the area could play a role, since areas with high numbers of bird species are also more satisfying to live in, which is an unconscious mechanism (<xref ref-type="bibr" rid="B24">Hepburn et&#xa0;al., 2021</xref>).</p>
<p>As can be seen in <xref ref-type="fig" rid="f1"><bold>Figure&#xa0;1</bold></xref>, two areas especially have a negative impact. These two parks especially present with large aggregations of &#x201c;negative&#x201d; species, resulting in a very low HRV<sub>place</sub>. One location, for example, had more than 100 greylag geese (<italic>Anser anser</italic>) aggregating, and another had a flock of more than 100 feral pigeons (<italic>Columba livia</italic> f. <italic>domestica</italic>). This is important to note, since birds accumulating in large groups could also be perceived as threatening, especially if they are big and noisy. Many abundant species that form large aggregations, like geese, pigeons, and corvids, are associated with aggression (<xref ref-type="bibr" rid="B5">Belaire et&#xa0;al., 2015</xref>), dirt/defecation (<xref ref-type="bibr" rid="B31">Leong et&#xa0;al., 2020</xref>), and disease transmission (<xref ref-type="bibr" rid="B39">Pejchar et&#xa0;al., 2025</xref>). Especially large birds, like greylag geese, egyptian geese (<italic>Alopochen aegyptiaca</italic>), mute swans (<italic>Cygnus olor</italic>), and great cormorants (<italic>Phalacrocorax carbo</italic>), are often perceived as a nuisance since they are loud, do not sing beautifully (<xref ref-type="bibr" rid="B35">Lukanowski, 2023</xref>), and oftentimes, people are even scared of them. These accumulations of birds need to be considered, which is why we used the species frequency in calculating our factor. But this is also one of the limitations of this analysis, since these two parks have a high impact on our analysis and therefore need not be overlooked.</p>
<p>The large body size of birds has not been connected to a higher willingness to protect in earlier studies on birds (<xref ref-type="bibr" rid="B42">Randler and Koch, 2025</xref>), which is probably why birds with a low factor score are less beneficial for our mental well-being. On the other hand, colorful, cute birds increase positive feelings, especially in combination with beautiful bird song.</p>
<p>To conclude, attractive birds have a positive effect on people&#x2019;s mental well-being, namely satisfaction. This is important to know for improving human mental health and biodiversity conservation. Protecting aesthetically attractive and nicely singing species helps not only nature but also society. These birds can possibly function as a flagship or umbrella species, leading to conservation benefits for their whole habitat. It has been shown before that charisma and aesthetic attractiveness of species impact the allocation of conservation funding and efforts (<xref ref-type="bibr" rid="B21">Garnett et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B32">Li&#x161;kov&#xe1; and Frynta, 2013</xref>). But also, some important flagship species, especially with birds, are dull-looking, small species, strongly impacted by humans. The HRV, as we propose it, is probably not a useful measure for these species. It is a tool for urban species, able to enhance people&#x2019;s awareness of the benefits of biodiversity. If a bird species has as high HRV as we propose it, it is aesthetically attractive, has a beautiful song, is cute, and colorful. They are species that are able to elicit interest in people, even without a strong conservation background, and are a gateway into conservation and biodiversity awareness. It can also be a reason for planners to improve urban green spaces to attract these species and, therefore, not only create habitat for birds but also improve human mental well-being. But the method of calculating the HRV can surely be used for other applications as well. Using more or other variables in the calculation could help explore other patterns. For example, habitat affinity, foraging strategy, and nest types could be tested for differences between groups, conservation success, among other things. Future studies might therefore investigate a relationship between the HRV and other metrics, including population status, IUCN ranking of certain species, or shed light on relationships between conservation and HRV.</p>
<p>In the context of this study, it is essential to acknowledge that there is also a widely recognized connection between culture and the perceived value or awareness of biodiversity (<xref ref-type="bibr" rid="B30">Ladle et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B38">Millard et&#xa0;al., 2021</xref>). In many cultures, birds are connected to religion/folklore. This means that one species could be perceived as positive in one country and negative in another. <xref ref-type="bibr" rid="B26">Hummel et&#xa0;al. (2015)</xref>, for example, found that there are significant differences between countries regarding the presence of myths surrounding birds.</p>
<p>This is why the present results need to be taken to a larger scale in further studies, in addition to being carefully interpreted in a cultural context. Right now, this study presents a method of analyzing bird species traits and connecting them with the well-being of recreationists, based in south-west Germany. Expanding the survey to other countries would result in more robust results regarding the connection of the HRV to human well-being. Nevertheless, our results are a promising start, showing that species traits of birds are indeed related to the human experience in recreational areas.</p>
</sec>
</body>
<back>
<sec id="s5" 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. For questions contact the corresponding author.</p></sec>
<sec id="s6" sec-type="ethics-statement">
<title>Ethics statement</title>
<p>The studies involving humans were approved by Ethics committee of the Faculty of Social Sciences and Economics of the University of T&#xfc;bingen (AZ: A2.5.4-219_ns). The studies were conducted in accordance with the local legislation and institutional requirements. The participants provided their written informed consent to participate in this study.</p></sec>
<sec id="s7" sec-type="author-contributions">
<title>Author contributions</title>
<p>JV: Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Validation, Visualization, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. NK: Investigation, Methodology, Writing &#x2013; review &amp; editing. CR: Conceptualization, Data curation, Investigation, Methodology, Project administration, Resources, Supervision, Writing &#x2013; review &amp; editing.</p></sec>
<ack>
<title>Acknowledgments</title>
<p>We would like to thank Talia H&#xe4;rtel for her scientific input regarding the analysis and formulation of the factor.</p>
</ack>
<sec id="s9" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The author(s) declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
<p>The author CR declared that they were an editorial board member of Frontiers at the time of submission. This had no impact on the peer review process and the final decision.</p></sec>
<sec id="s10" sec-type="ai-statement">
<title>Generative AI statement</title>
<p>The author(s) declared that generative AI was not 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>
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<p>Edited by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2542552">Seunguk Shin</ext-link>, University of Missouri, United States</p></fn>
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<p>Reviewed by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1430112">Barbara Kus</ext-link>, United States Geological Survey (USGS), United States</p>
<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/3288314">Rosa Patricia Rom&#xe1;n Reyes</ext-link>, Universidad Aut&#xf3;noma del Estado de M&#xe9;xico, Mexico</p></fn>
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