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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Conserv. Sci.</journal-id>
<journal-title>Frontiers in Conservation Science</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Conserv. Sci.</abbrev-journal-title>
<issn pub-type="epub">2673-611X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fcosc.2025.1527844</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Conservation Science</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Household perceptions regarding bats and willingness to pay for their conservation within Mount Elgon Biosphere Reserve of Uganda</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Siya</surname>
<given-names>Aggrey</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1071892/overview"/>
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<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
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<role content-type="https://credit.niso.org/contributor-roles/funding-acquisition/"/>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
<role content-type="https://credit.niso.org/contributor-roles/methodology/"/>
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<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Rwego</surname>
<given-names>Innocent B.</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Sande</surname>
<given-names>Eric</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/supervision/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Kityo</surname>
<given-names>Robert M.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Masembe</surname>
<given-names>Charles</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/supervision/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Kading</surname>
<given-names>Rebekah C.</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/747710/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
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</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Department of Zoology, Entomology and Fisheries Sciences, College of Natural Sciences, Makerere University</institution>, <addr-line>Kampala</addr-line>, <country>Uganda</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Research Department, Uganda Wildlife Research and Training Institute</institution>, <addr-line>Kasese</addr-line>, <country>Uganda</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Department of Biosecurity, Ecosystems and Veterinary Public Health, College of Veterinary Medicine Animal Resources and Biosecurity, Makerere University</institution>, <addr-line>Kampala</addr-line>, <country>Uganda</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>Department of Microbiology, Immunology, and Pathology, Center for Vector-borne Infectious Diseases Colorado State University</institution>, <addr-line>Fort Collins, CO</addr-line>, <country>United States</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Meri Raggi, University of Bologna, Italy</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Uttam Saikia, United States Geological Survey (USGS), United States</p>
<p>Susi Missel Pacheco, Instituto Sauver, Brazil</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Aggrey Siya, <email xlink:href="mailto:siyaggrey@gmail.com">siyaggrey@gmail.com</email>
</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>23</day>
<month>05</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>6</volume>
<elocation-id>1527844</elocation-id>
<history>
<date date-type="received">
<day>13</day>
<month>11</month>
<year>2024</year>
</date>
<date date-type="accepted">
<day>23</day>
<month>04</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2025 Siya, Rwego, Sande, Kityo, Masembe and Kading</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Siya, Rwego, Sande, Kityo, Masembe and Kading</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>Bats play critical roles not only in sustaining ecosystems but also human livelihoods across different scales. Despite such values, their populations continue to be threatened mainly by human activities causing their decline. Moreover, recent zoonotic diseases outbreaks have increased negative attitudes towards this taxon further threatening their populations. This study sought to contribute to bat conservation programs by providing scientific data on community willingness to pay for bat conservation within Mount Elgon Biosphere Reserve in Uganda.</p>
</sec>
<sec>
<title>Methods</title>
<p>We employed cross-sectional survey design using semi structured interview questionnaires to gather data on the willingness to pay for bat conservation as well as factors associated within Mount Elgon Biosphere Reserve of Uganda. Households were the unit of analysis and were sampled using simple random sampling techniques. Data collected was analyzed using descriptive and relational analyses.</p>
</sec>
<sec>
<title>Results</title>
<p>Respondents indicated their willingness to contribute a mean monetary value of UgX 794.97 (~ USD 0.21 <italic>Oanda rates as of September 03<sup>rd</sup>, 2024</italic>). This bid amount was associated with household size (<italic>p</italic> = 0.02) and lower education levels (<italic>p</italic> = 0.01). Increased household size as well as higher education levels undermined willingness to pay for conservation of bats. Gender and years lived in the area had a positive effect on willingness to pay for bat conservation. In terms of knowledge of bats, this study indicated understanding of some aspects of bats e.g., role in pollination and reproduction. However, there was poor knowledge on other aspects e.g., seed dispersion and other ecological values. Regarding the general environment, communities indicated environment to play critical roles in their livelihoods and ought to be protected.</p>
</sec>
<sec>
<title>Discussion</title>
<p>Human communities within Mount Elgon have positive attitudes towards bats and are willing to contribute to their conservation, including monetary terms. Interventions targeting bat conservation thus ought to integrate human dimensions. This will contribute to restoring bat populations and local, regional and global scales.</p>
</sec>
</abstract>
<kwd-group>
<kwd>bats</kwd>
<kwd>willingness to pay</kwd>
<kwd>welfare</kwd>
<kwd>economics</kwd>
<kwd>indigenous knowledge</kwd>
<kwd>traditional knowledge</kwd>
<kwd>benefits</kwd>
<kwd>social ecosystem</kwd>
</kwd-group>
<counts>
<fig-count count="3"/>
<table-count count="4"/>
<equation-count count="4"/>
<ref-count count="80"/>
<page-count count="11"/>
<word-count count="5255"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Conservation Social Sciences</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1">
<label>1</label>
<title>Background</title>
<p>With 1,487 species globally and over a fifth of them in Africa, bats have been indicated to play a significant role in the provision of ecosystem services (<xref ref-type="bibr" rid="B15">Burgin et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B69">Simmons and ALC, 2025</xref>). Such services include pest control, pollination, and seed dispersal among others benefiting both plant and animal populations (<xref ref-type="bibr" rid="B45">Kunz et&#xa0;al., 2011</xref>; <xref ref-type="bibr" rid="B55">McCracken et&#xa0;al., 2012</xref>; <xref ref-type="bibr" rid="B52">Mainea and Boylesa, 2015</xref>; <xref ref-type="bibr" rid="B62">Ram&#xed;rez-Fr&#xe1;ncel et&#xa0;al., 2022</xref>). These ecosystem services have significant implications for the socioeconomic aspects of human welfare and can influence decisions on their conservation interventions (<xref ref-type="bibr" rid="B48">Low et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B3">Aggrey et&#xa0;al., 2024a</xref>). The benefits associated with bats are substantial and globally reported, contributing significantly to human livelihoods (<xref ref-type="bibr" rid="B3">Aggrey et&#xa0;al., 2024a</xref>). For instance, in North America, bats predate on agricultural pests, saving costs of up to $3.7 billion per year (<xref ref-type="bibr" rid="B12">Boyles et&#xa0;al., 2011</xref>). Similarly, surveys in Texas indicated an annual value of $741,000 per year for pest control services provided by bats (<xref ref-type="bibr" rid="B20">Cleveland et&#xa0;al., 2006</xref>). In Chile, bats yield an economic value of US$188 to $248 per hectare per year due to their predation services (<xref ref-type="bibr" rid="B64">Rodr&#xed;guez-San Pedro et&#xa0;al., 2020</xref>). In Indonesia, bats significantly reduce pest infestation on cacao trees, leading to higher productivity (<xref ref-type="bibr" rid="B50">Maas et&#xa0;al., 2013</xref>). Experiments around South African macadamia farms showed that bats can reduce tortricid moth damage by more than 35% (<xref ref-type="bibr" rid="B10">Bouarakia et&#xa0;al., 2023</xref>). These contributions to pest control and agricultural productivity are crucial for human livelihoods and can positively shape people&#x2019;s perceptions regarding bats as well as their conservation. Such positive attitudes towards bats can yield significant conservation outcomes across different scales. Indeed, studies have shown that community-led conservation programming has a higher chance of being successful compared to those that have limited community engagement (<xref ref-type="bibr" rid="B13">Brooks et&#xa0;al., 2013</xref>). However, for such success to be effectively realized, opportunities like willingness to pay for conservation ought to be understood so as to limit costs of the interventions (<xref ref-type="bibr" rid="B32">Esmail et&#xa0;al., 2023</xref>). Such opportunities have been demonstrated in Greece and Mauritius, where residents valued bats and indicated monetary and labor contributions to support their conservation (<xref ref-type="bibr" rid="B18">Chandr Jaunky et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B47">Liordos et&#xa0;al., 2021</xref>). This partly contributed to sustaining the bat populations within these areas. Measuring such values attached to bats (across different scales) is critical, as it provides an improved understanding of pathways to influence societal change, public policies, and decision-making (<xref ref-type="bibr" rid="B33">Ferrato et&#xa0;al., 2016</xref>). It&#x2019;s also critical to undertake such assessments across different scales as perceptions and values of bats are often shaped by socioeconomic factors that are highly context dependent (<xref ref-type="bibr" rid="B66">Sen, 1999</xref>). Such context dependency can cause heterogeneity in the conservation interventions across space and time.</p>
<p>The occurrence of zoonotic diseases has increased recently, necessitating enhanced and strategic public health communication to mitigate related impacts (<xref ref-type="bibr" rid="B24">Decker et&#xa0;al., 2012</xref>; <xref ref-type="bibr" rid="B61">Quinn et&#xa0;al., 2014</xref>; <xref ref-type="bibr" rid="B40">Holmes, 2022</xref>; <xref ref-type="bibr" rid="B78">Vora et&#xa0;al., 2022</xref>). While these interventions are critical in safeguarding human populations, they can sometimes undermine conservation efforts for vertebrate taxa (e.g., bats) that have been associated with certain diseases (<xref ref-type="bibr" rid="B23">Davis et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B51">MacFarlane and Rocha, 2020</xref>; <xref ref-type="bibr" rid="B59">Osofsky et&#xa0;al., 2023</xref>). For instance, the recent COVID-19 pandemic has exacerbated negative attitudes towards bats (<xref ref-type="bibr" rid="B31">Ejotre et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B56">Nanni et&#xa0;al., 2022</xref>), which has detrimental implications for community support for bat conservation actions in some areas. Notably, community members will have less morale to support actions that contribute to restoring and, or sustaining bat populations as evidenced in Nigeria (<xref ref-type="bibr" rid="B2">Adeyanju et&#xa0;al., 2023</xref>) and New York (<xref ref-type="bibr" rid="B68">Siemer et&#xa0;al., 2021</xref>). Because such perspectives are highly context-dependent, i.e., vary across space and time (<xref ref-type="bibr" rid="B58">Olko and Radding, 2024</xref>), it is crucial to analyze community perspectives (in hard to reach areas like Mount Elgon) regarding such species to understand potential barriers to bat conservation (<xref ref-type="bibr" rid="B36">Geijzendorffer et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B19">Christie et&#xa0;al., 2020</xref>). Such analysis contributes information that can be used to design interventions to sustain ecosystems across different scales, as bats occupy wide ecological niches (<xref ref-type="bibr" rid="B25">Denzinger and Schnitzler, 2013</xref>; <xref ref-type="bibr" rid="B62">Ram&#xed;rez-Fr&#xe1;ncel et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B22">Dai et&#xa0;al., 2023</xref>). This is particularly relevant in Uganda, where agriculture is the main source of livelihood and involves the conversion of natural habitats into farmland, posing serious consequences for bat populations (<xref ref-type="bibr" rid="B76">Uganda Bureau of Statistics, 2014</xref>; <xref ref-type="bibr" rid="B34">Frick et&#xa0;al., 2020</xref>).</p>
<p>To halt or reverse threats to bat populations, adequate scientific and location-specific assessments should be conducted (<xref ref-type="bibr" rid="B34">Frick et&#xa0;al., 2020</xref>). Unfortunately, such assessments are yet to be conducted, especially in developing countries, including Uganda. This gap needs to be filled, as Uganda&#x2019;s location within the tropics would be ideal for a high diversity of bats (<xref ref-type="bibr" rid="B14">Brown, 2014</xref>). This is reflected in a recent modeling study indicating Uganda to lie within a belt of high bat diversity and abundance (<xref ref-type="bibr" rid="B5">Alves et&#xa0;al., 2018</xref>). Similarly, anecdotal records indicate new species of bats that continue to be discovered in different parts of Uganda reflecting the potential of various ecosystems in sustaining bat populations. This study aimed to contribute to the design of interventions to sustain bat populations by assessing perspectives regarding bats and willingness to pay for their conservation.</p>
</sec>
<sec id="s2" sec-type="materials|methods">
<label>2</label>
<title>Materials and methods</title>
<sec id="s2_1">
<label>2.1</label>
<title>Study area</title>
<p>This study was undertaken within Mount Elgon Biosphere Reserve, Uganda with focus on the Sebei subregion. The Sebei subregion comprises three districts; Kapchorwa, Kween and Bukwo. It is bordered by Kween District to the northeast and east, Sironko District to the south, and Bulambuli District to the west and northeast (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>). Anecdotal records indicate Kapchorwa district to host more diverse economic activities than other districts.</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Location of the study area.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fcosc-06-1527844-g001.tif"/>
</fig>
<p>The district is majorly inhabited by the indigenous communities of Sebei, estimated to be 300,000 people in Uganda (<xref ref-type="bibr" rid="B76">Uganda Bureau of Statistics, 2014</xref>). In the past, the Sebei were nomadic pastoralists owning mostly cattle. They practiced a livestock management system with families relying mainly on milk rather than meat for nutrition, selling animals to get cash for other economic needs, and building herd sizes to accrue social status, wealth, and provide a buffer against risks such as severe droughts (<xref ref-type="bibr" rid="B7">Baxter and Goldschmidt, 1976</xref>). Until they were resettled outside the forest reserve in the 1980s, they lived on open grassy areas inside the montane forest [see (<xref ref-type="bibr" rid="B65">Sassen et&#xa0;al., 2013</xref>)].</p>
</sec>
<sec id="s2_2">
<label>2.2</label>
<title>Study approach</title>
<p>The Contingent Valuation Method (CVM) was utilized to assign an economic value to the bats around the Mount Elgon Biosphere Reserve in Uganda. This method is widely employed in valuing environmental goods by asking respondents how much they would be willing to pay for a specific environmental service or good (<xref ref-type="bibr" rid="B41">Hong et&#xa0;al., 2024</xref>; <xref ref-type="bibr" rid="B46">Lee and Kim, 2024</xref>). The Contingent Valuation Method (CVM) is often used to assign value to a species through willingness-to-pay surveys (<xref ref-type="bibr" rid="B54">Mart&#xed;n-L&#xf3;pez et&#xa0;al., 2007</xref>). This approach provides an understanding of the economic aspects by assigning a monetary figure to a particular species (<xref ref-type="bibr" rid="B70">Solomon et&#xa0;al., 2004</xref>), which is vital for designing effective conservation actions (<xref ref-type="bibr" rid="B54">Mart&#xed;n-L&#xf3;pez et&#xa0;al., 2007</xref>; <xref ref-type="bibr" rid="B80">Zander et&#xa0;al., 2014</xref>).</p>
<p>To improve our analysis, we included an examination of how the New Ecological Paradigm (NEP), knowledge, and attitudes towards bats influenced the willingness to support bat conservation (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>) (<xref ref-type="bibr" rid="B28">Dunlap and Van Liere, 1978</xref>; <xref ref-type="bibr" rid="B17">Catton and Dunlap, 1980</xref>). This approach was adopted from a similar survey on the Mauritius flying fox (<xref ref-type="bibr" rid="B18">Chandr Jaunky et&#xa0;al., 2021</xref>). The NEP is a survey-based metric used to measure environmental concerns within a given group of people (<xref ref-type="bibr" rid="B73">Tonin and Benedetto, 2024</xref>). It consists of a 15-question survey instrument where respondents indicate their level of agreement or disagreement with various statements (<xref ref-type="bibr" rid="B6">Anderson, 2012</xref>; <xref ref-type="bibr" rid="B27">Dunlap, 2012</xref>). We adapted this framework and contextualized it for bats and the human communities within the Mount Elgon region of Uganda. This adaptation was crucial as the NEP framework allows for measuring pro-environmental beliefs, behavioral intentions, and actual pro-environmental behaviors (<xref ref-type="bibr" rid="B26">Derdowski et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B53">Marcinekov&#xe1; et&#xa0;al., 2024</xref>). It thus provides an opportunity for improved understanding of people&#x2019;s perspectives regarding bats which form part of the overall ecosystems.</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Conceptual model for determining willingness to pay for bat conservation Source: Modified from <xref ref-type="bibr" rid="B18">Chandr Jaunky et al. (2021)</xref>, with permission.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fcosc-06-1527844-g002.tif"/>
</fig>
</sec>
<sec id="s2_3">
<label>2.3</label>
<title>Sampling and data collection</title>
<p>Data was collected from household level across Kapchorwa district. This was done for a total of 380 randomly selected households. This sample (N=380 households) was derived using Krejcie and Morgans method of sample determination (<xref ref-type="bibr" rid="B44">Krejcie and Morgan, 1970</xref>). Additionally, sampling was based on the 2014 Uganda National Census (<xref ref-type="bibr" rid="B74">UBOS, 2014</xref>). Simple random sampling techniques were applied during the household selection process. Notably, a list of households formed the sampling frame. Sampling randomly included starting with one household and the next with selection of every <italic>k<sup>th</sup>
</italic> element (<xref ref-type="disp-formula" rid="eq1">Equation 1</xref>) from then onwards.</p>
<disp-formula id="eq1">
<label>(1)</label>
<mml:math display="block" id="M1">
<mml:mrow>
<mml:mi>k</mml:mi>
<mml:mo>=</mml:mo>
<mml:mfrac>
<mml:mrow>
<mml:mi>p</mml:mi>
<mml:mi>o</mml:mi>
<mml:mi>p</mml:mi>
<mml:mi>u</mml:mi>
<mml:mi>l</mml:mi>
<mml:mi>a</mml:mi>
<mml:mi>t</mml:mi>
<mml:mi>i</mml:mi>
<mml:mi>o</mml:mi>
<mml:mi>n</mml:mi>
<mml:mo>&#xa0;</mml:mo>
<mml:mi>s</mml:mi>
<mml:mi>i</mml:mi>
<mml:mi>z</mml:mi>
<mml:mi>e</mml:mi>
</mml:mrow>
<mml:mrow>
<mml:mi>s</mml:mi>
<mml:mi>a</mml:mi>
<mml:mi>m</mml:mi>
<mml:mi>p</mml:mi>
<mml:mi>l</mml:mi>
<mml:mi>e</mml:mi>
<mml:mo>&#xa0;</mml:mo>
<mml:mi>s</mml:mi>
<mml:mi>i</mml:mi>
<mml:mi>z</mml:mi>
<mml:mi>e</mml:mi>
</mml:mrow>
</mml:mfrac>
</mml:mrow>
</mml:math>
</disp-formula>
<p>Data was collected using a semi-structured interview questionnaire (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary File 1</bold>
</xref>) at household level, targeting household heads from selected households. In cases where the household head was not available, the next senior person or an adult (over 18 years) was interviewed. The questionnaire comprised four sections. Section A addressed the sociodemographic characteristics of the respondents. Section B assessed the respondent&#x2019;s knowledge about bats and captured data regarding their willingness to contribute to bat conservation. Section C appraised the respondent&#x2019;s attitudes towards bats. Finally, Section D amassed information about the respondent&#x2019;s self-image and data related to the New Ecological Paradigm (NEP) (<xref ref-type="bibr" rid="B29">Dunlap et&#xa0;al., 2000</xref>; <xref ref-type="bibr" rid="B27">Dunlap, 2012</xref>). By structuring the questionnaire in this manner, we ensured a comprehensive collection of data covering sociodemographic information, knowledge, attitudes, and ecological beliefs, all of which are crucial for understanding the factors influencing conservation efforts. The collected data was later entered into Microsoft Excel prior to analysis.</p>
</sec>
<sec id="s2_4">
<label>2.4</label>
<title>Data analysis</title>
<p>Descriptive statistics were conducted to summarize sociodemographic characteristics, NEP components, and respondents&#x2019; knowledge of bats. Proportions were used to present categorical variables, while summary statistics were applied to continuous variables. The contingent valuation method (CVM) was employed to assess households&#x2019; willingness to pay (WTP) for bat conservation (<xref ref-type="bibr" rid="B77">Venkatachalam, 2004</xref>; <xref ref-type="bibr" rid="B16">Carson and Hanemann, 2005</xref>). The mean WTP for bat conservation was estimated using the approach outlined by <xref ref-type="bibr" rid="B11">Boyle (2017)</xref> (<xref ref-type="disp-formula" rid="eq2">Equation 2</xref>):</p>
<disp-formula id="eq2">
<label>(2)</label>
<mml:math display="block" id="M2">
<mml:mrow>
<mml:mi>M</mml:mi>
<mml:mi>e</mml:mi>
<mml:mi>a</mml:mi>
<mml:mi>n</mml:mi>
<mml:mo>&#xa0;</mml:mo>
<mml:mi>W</mml:mi>
<mml:mi>T</mml:mi>
<mml:mi>P</mml:mi>
<mml:mo>=</mml:mo>
<mml:mfrac>
<mml:mrow>
<mml:msubsup>
<mml:mo>&#x2211;</mml:mo>
<mml:mrow>
<mml:mi>i</mml:mi>
<mml:mo>=</mml:mo>
<mml:mn>1</mml:mn>
</mml:mrow>
<mml:mi>n</mml:mi>
</mml:msubsup>
<mml:mi>W</mml:mi>
<mml:mi>T</mml:mi>
<mml:msub>
<mml:mi>P</mml:mi>
<mml:mi>I</mml:mi>
</mml:msub>
</mml:mrow>
<mml:mi>n</mml:mi>
</mml:mfrac>
</mml:mrow>
</mml:math>
</disp-formula>
<p>where WTP is the amount, each respondent is willing to pay for bat conservation in Uganda shillings (UGX), and n is the total number of observations. This calculation provided an estimate of the maximum WTP expressed by the respondents. To examine the determinants of WTP, a probit regression model was used, given that the dependent variable (willingness to contribute to conservation) was binary. The model specification was as follows (<xref ref-type="disp-formula" rid="eq3">Equation 3</xref>):</p>
<disp-formula id="eq3">
<label>(3)</label>
<mml:math display="block" id="M3">
<mml:mtable columnalign="left">
<mml:mtr>
<mml:mtd>
<mml:mi>Pr</mml:mi>
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<mml:mi>&#x3d5;</mml:mi>
<mml:mo stretchy="false">(</mml:mo>
<mml:msub>
<mml:mi>&#x3b2;</mml:mi>
<mml:mn>0</mml:mn>
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<mml:mo>+</mml:mo>
<mml:msub>
<mml:mi>&#x3b2;</mml:mi>
<mml:mn>1</mml:mn>
</mml:msub>
<mml:mi>b</mml:mi>
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<mml:mtext>&#x2009;</mml:mtext>
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<mml:mi>&#x3b2;</mml:mi>
<mml:mn>2</mml:mn>
</mml:msub>
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<mml:mtext>&#x2009;</mml:mtext>
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<mml:mn>4</mml:mn>
</mml:msub>
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<mml:mi>u</mml:mi>
<mml:mi>c</mml:mi>
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<mml:mi>l</mml:mi>
<mml:mtext>&#x2009;</mml:mtext>
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<mml:mn>5</mml:mn>
</mml:msub>
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<mml:mi>&#x3b2;</mml:mi>
<mml:mn>6</mml:mn>
</mml:msub>
<mml:mi>y</mml:mi>
<mml:mi>e</mml:mi>
<mml:mi>a</mml:mi>
<mml:mi>r</mml:mi>
<mml:mi>s</mml:mi>
<mml:mtext>&#x2009;</mml:mtext>
<mml:mi>l</mml:mi>
<mml:mi>i</mml:mi>
<mml:mi>v</mml:mi>
<mml:mi>e</mml:mi>
<mml:mi>d</mml:mi>
<mml:mtext>&#x2009;</mml:mtext>
<mml:mi>i</mml:mi>
<mml:mi>n</mml:mi>
<mml:mtext>&#x2009;</mml:mtext>
<mml:mi>a</mml:mi>
<mml:mi>r</mml:mi>
<mml:mi>e</mml:mi>
<mml:mi>a</mml:mi>
<mml:mo>+</mml:mo>
<mml:mi>&#x3f5;</mml:mi>
<mml:mo stretchy="false">)</mml:mo>
</mml:mtd>
</mml:mtr>
</mml:mtable>
</mml:math>
</disp-formula>
<p>where represents <italic>&#x3d5;</italic> the cumulative distribution function of the standard normal distribution. The independent variables included bid amount, household size, gender, education level, work type, and years lived in the area. The mean WTP was further estimated using the formula (<xref ref-type="disp-formula" rid="eq4">Equation 4</xref>):</p>
<disp-formula id="eq4">
<label>(4)</label>
<mml:math display="block" id="M4">
<mml:mrow>
<mml:mi>M</mml:mi>
<mml:mi>e</mml:mi>
<mml:mi>a</mml:mi>
<mml:mi>n</mml:mi>
<mml:mo>&#xa0;</mml:mo>
<mml:mi>W</mml:mi>
<mml:mi>T</mml:mi>
<mml:mi>P</mml:mi>
<mml:mo>=</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#x2212;</mml:mo>
<mml:mfrac>
<mml:mrow>
<mml:msub>
<mml:mi>&#x3b2;</mml:mi>
<mml:mn>0</mml:mn>
</mml:msub>
</mml:mrow>
<mml:mrow>
<mml:msub>
<mml:mi>&#x3b2;</mml:mi>
<mml:mn>1</mml:mn>
</mml:msub>
</mml:mrow>
</mml:mfrac>
</mml:mrow>
</mml:math>
</disp-formula>
<p>A probit regression model was employed to determine the relationship between willingness to pay and various socioeconomic attributes. This model was selected because the dependent variable is binary (whether a respondent is willing to contribute or not), making it more appropriate than linear regression models that may generate biased estimates when applied to categorical outcomes (<xref ref-type="bibr" rid="B38">Halstead et&#xa0;al., 1991</xref>). The probit model assumes that the probability of willingness to contribute follows a standard normal cumulative distribution function, allowing for a more accurate estimation of factors influencing respondents&#x2019; decisions. The choice of the probit model over other potential econometric models, such as the Tobit model, was based on the nature of the data. However, in this study, the primary focus was on whether respondents were willing to contribute to bat conservation rather than the specific amount they were willing to pay. Given this, the probit model was deemed the most suitable analytical approach.</p>
<p>To assess the model&#x2019;s fit, the likelihood ratio test was employed. This test evaluates the significance of the overall model by comparing it to a null model without predictors (<xref ref-type="bibr" rid="B38">Halstead et&#xa0;al., 1991</xref>). Likelihood ratio was used to evaluate the fit of the model and analysis was conducted at 5% significance level (<xref ref-type="bibr" rid="B39">He et&#xa0;al., 2020</xref>). Details of the model characteristics are presented in tables within the <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Files</bold>
</xref> (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary File 2</bold>
</xref>). All statistical analyses were performed using Stata version 18 (<xref ref-type="bibr" rid="B72">StataCorp, 2023</xref>). All analysis was done at 5% significance level.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<label>3</label>
<title>Results</title>
<p>In terms of sociodemographic characteristics, all respondents lived and worked in the area and indicated to have bats in their neighborhood. In terms of gender, the male and female respondents engaged were almost equal (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>). Regarding education levels, the majority of respondents had completed secondary level education (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>). Crop cultivation was the most common work done within the study site (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>). In comparison to the total population of the site, most respondents were at primary level (57%) indicating lower education levels within the study site. Similarly, crop cultivation was the main source of livelihood with 70% of the respondents engaged in it (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>).</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Sociodemographic characteristics of respondents (N=380).</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="center">Variable</th>
<th valign="top" align="center">Category</th>
<th valign="top" align="center">Sample proportion</th>
<th valign="top" align="center">SE</th>
<th valign="top" align="center">95% CI</th>
<th valign="top" align="center">Population proportion</th>
<th valign="top" align="center">Source</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Gender (N = 750)</td>
<td valign="top" align="center">Male</td>
<td valign="top" align="center">0.51</td>
<td valign="top" align="center">0.02</td>
<td valign="top" align="center">[0.47 &#x2013; 0.54]</td>
<td valign="top" align="center">0.49</td>
<td valign="top" align="center">2014 Uganda National Census (<xref ref-type="bibr" rid="B74">UBOS, 2014</xref>)</td>
</tr>
<tr>
<td valign="top" align="center"/>
<td valign="top" align="center">Female</td>
<td valign="top" align="center">0.49</td>
<td valign="top" align="center">0.02</td>
<td valign="top" align="center">[0.46 &#x2013; 0.53]</td>
<td valign="top" align="center">0.51</td>
<td valign="top" align="center">2014 Uganda National Census (<xref ref-type="bibr" rid="B74">UBOS, 2014</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">Education Level (N = 748)</td>
<td valign="top" align="center">Primary</td>
<td valign="top" align="center">0.21</td>
<td valign="top" align="center">0.01</td>
<td valign="top" align="center">[0.18 &#x2013; 0.24]</td>
<td valign="top" align="center">0.57</td>
<td valign="top" align="center">2014 Uganda National Census (<xref ref-type="bibr" rid="B74">UBOS, 2014</xref>)</td>
</tr>
<tr>
<td valign="top" align="center"/>
<td valign="top" align="center">Secondary</td>
<td valign="top" align="center">0.77</td>
<td valign="top" align="center">0.02</td>
<td valign="top" align="center">[0.74 &#x2013; 0.80]</td>
<td valign="top" align="center">0.35</td>
<td valign="top" align="center">2014 Uganda National Census (<xref ref-type="bibr" rid="B74">UBOS, 2014</xref>)</td>
</tr>
<tr>
<td valign="top" align="center"/>
<td valign="top" align="center">Undergraduate</td>
<td valign="top" align="center">0.02</td>
<td valign="top" align="center">0.01</td>
<td valign="top" align="center">[0.01 &#x2013; 0.03]</td>
<td valign="top" align="center">0.02</td>
<td valign="top" align="center">2014 Uganda National Census (<xref ref-type="bibr" rid="B74">UBOS, 2014</xref>)</td>
</tr>
<tr>
<td valign="top" align="center"/>
<td valign="top" align="center">Graduate</td>
<td valign="top" align="center">0.01</td>
<td valign="top" align="center">0.00</td>
<td valign="top" align="center">[0.00 &#x2013; 0.02]</td>
<td valign="top" align="center">0.02</td>
<td valign="top" align="center">2014 Uganda National Census (<xref ref-type="bibr" rid="B74">UBOS, 2014</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">Type of Work (N = 742)</td>
<td valign="top" align="center">Crop cultivation</td>
<td valign="top" align="center">0.80</td>
<td valign="top" align="center">0.01</td>
<td valign="top" align="center">[0.76 &#x2013; 0.82]</td>
<td valign="top" align="center">0.70</td>
<td valign="top" align="center">2014 Uganda National Census (<xref ref-type="bibr" rid="B74">UBOS, 2014</xref>)</td>
</tr>
<tr>
<td valign="top" align="center"/>
<td valign="top" align="center">Business</td>
<td valign="top" align="center">0.12</td>
<td valign="top" align="center">0.01</td>
<td valign="top" align="center">[0.10 &#x2013; 0.15]</td>
<td valign="top" align="center">0.15</td>
<td valign="top" align="center">2014 Uganda National Census (<xref ref-type="bibr" rid="B74">UBOS, 2014</xref>)</td>
</tr>
<tr>
<td valign="top" align="center"/>
<td valign="top" align="center">Livestock farming</td>
<td valign="top" align="center">0.04</td>
<td valign="top" align="center">0.01</td>
<td valign="top" align="center">[0.03 &#x2013; 0.06]</td>
<td valign="top" align="center">0.20</td>
<td valign="top" align="center">2014 Uganda National Census (<xref ref-type="bibr" rid="B74">UBOS, 2014</xref>)</td>
</tr>
<tr>
<td valign="top" align="center"/>
<td valign="top" align="center">Off-farm income</td>
<td valign="top" align="center">0.02</td>
<td valign="top" align="center">0.01</td>
<td valign="top" align="center">[0.01 &#x2013; 0.03]</td>
<td valign="top" align="center">0.15</td>
<td valign="top" align="center">2014 Uganda National Census (<xref ref-type="bibr" rid="B74">UBOS, 2014</xref>)</td>
</tr>
<tr>
<td valign="top" align="center"/>
<td valign="top" align="center">Salaries and wages</td>
<td valign="top" align="center">0.02</td>
<td valign="top" align="center">0.00</td>
<td valign="top" align="center">[0.01 &#x2013; 0.03]</td>
<td valign="top" align="center">0.25</td>
<td valign="top" align="center">2014 Uganda National Census (<xref ref-type="bibr" rid="B74">UBOS, 2014</xref>)</td>
</tr>
<tr>
<td valign="top" align="center"/>
<td valign="top" align="center">Carpentry</td>
<td valign="top" align="center">0.00</td>
<td valign="top" align="center">0.00</td>
<td valign="top" align="center">[0.00 &#x2013; 0.01]</td>
<td valign="top" align="center">0.05</td>
<td valign="top" align="center">2014 Uganda National Census (<xref ref-type="bibr" rid="B74">UBOS, 2014</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">Familiarity with Flora/Fauna (N = 746)</td>
<td valign="top" align="center">Very familiar</td>
<td valign="top" align="center">0.99</td>
<td valign="top" align="center">0.00</td>
<td valign="top" align="center">[0.99 &#x2013; 1.00]</td>
<td valign="top" align="center">N/A</td>
<td valign="top" align="center">N/A</td>
</tr>
<tr>
<td valign="top" align="center"/>
<td valign="top" align="center">Slightly familiar</td>
<td valign="top" align="center">0.01</td>
<td valign="top" align="center">0.00</td>
<td valign="top" align="center">[0.00 &#x2013; 0.01]</td>
<td valign="top" align="center">N/A</td>
<td valign="top" align="center">N/A</td>
</tr>
</tbody>
</table>
</table-wrap>
<sec id="s3_1">
<label>3.1</label>
<title>Proportions of NEP</title>
<p>Respondents generally agreed with the different questions regarding the New Ecological Paradigm (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>). This indicated a general pro-bat conservation within the general public. For instance, over three quarters (n=0.965) of the respondents agreed that the balance of nature is very delicate and easily upset (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>). Similarly, majority of the respondents (n=0.981) agreed that if things continue on their present course, we will soon experience a major ecological catastrophe.</p>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Proportion of the responses on the different aspects of the new ecological paradigm (NEP) regarding bats (N=380).</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" rowspan="2" align="center">Questions</th>
<th valign="top" colspan="5" align="center">Responses</th>
</tr>
<tr>
<th valign="top" align="center">Strongly disagree</th>
<th valign="top" align="center">Disagree</th>
<th valign="top" align="center">Neither agree nor disagree</th>
<th valign="top" align="center">Agree</th>
<th valign="top" align="center">Strongly agree</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">The balance of nature is strong enough to cope with the impacts of modern industrial nations</td>
<td valign="top" align="center">0.005</td>
<td valign="top" align="center">0.009</td>
<td valign="top" align="center">0.008</td>
<td valign="top" align="center">0.957</td>
<td valign="top" align="center">0.02</td>
</tr>
<tr>
<td valign="top" align="left">Humans have the right to modify the natural environment to suit their needs</td>
<td valign="top" align="center">0.007</td>
<td valign="top" align="center">0.007</td>
<td valign="top" align="center">0.005</td>
<td valign="top" align="center">0.971</td>
<td valign="top" align="center">0.011</td>
</tr>
<tr>
<td valign="top" align="left">Plants and animals have as much right as humans to exist</td>
<td valign="top" align="center">0.004</td>
<td valign="top" align="center">0.005</td>
<td valign="top" align="center">0.001</td>
<td valign="top" align="center">0.973</td>
<td valign="top" align="center">0.008</td>
</tr>
<tr>
<td valign="top" align="left">Despite our special abilities, humans are still subject to the law of nature</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0.12</td>
<td valign="top" align="center">0.007</td>
<td valign="top" align="center">0.965</td>
<td valign="top" align="center">0.016</td>
</tr>
<tr>
<td valign="top" align="left">Humans were meant to rule over the rest of nature</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0.007</td>
<td valign="top" align="center">0.009</td>
<td valign="top" align="center">0.977</td>
<td valign="top" align="center">0.007</td>
</tr>
<tr>
<td valign="top" align="left">The earth is like a spaceship with very limited room and resources</td>
<td valign="top" align="center">0.001</td>
<td valign="top" align="center">0.007</td>
<td valign="top" align="center">0.005</td>
<td valign="top" align="center">0.979</td>
<td valign="top" align="center">0.008</td>
</tr>
<tr>
<td valign="top" align="left">When humans interfere with nature it often produces disastrous consequences</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0.004</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0.976</td>
<td valign="top" align="center">0.015</td>
</tr>
<tr>
<td valign="top" align="left">We are approaching the limit of the number of people the earth support</td>
<td valign="top" align="center">0.001</td>
<td valign="top" align="center">0.005</td>
<td valign="top" align="center">0.007</td>
<td valign="top" align="center">0.976</td>
<td valign="top" align="center">0.011</td>
</tr>
<tr>
<td valign="top" align="left">The earth has plenty of natural resources if we just learn how to develop them</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0.008</td>
<td valign="top" align="center">0.004</td>
<td valign="top" align="center">0.972</td>
<td valign="top" align="center">0.016</td>
</tr>
<tr>
<td valign="top" align="left">Humans are severely abusing the environment</td>
<td valign="top" align="center">0.003</td>
<td valign="top" align="center">0.007</td>
<td valign="top" align="center">0.007</td>
<td valign="top" align="center">0.973</td>
<td valign="top" align="center">0.0107</td>
</tr>
<tr>
<td valign="top" align="left">Humans&#x2019; ingenuity will ensure that we do not make the world unlivable</td>
<td valign="top" align="center">0.003</td>
<td valign="top" align="center">0.007</td>
<td valign="top" align="center">0.005</td>
<td valign="top" align="center">0.976</td>
<td valign="top" align="center">0.008</td>
</tr>
<tr>
<td valign="top" align="left">If things continue on their present course, we will soon experience a major ecological catastrophe</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0.004</td>
<td valign="top" align="center">0.008</td>
<td valign="top" align="center">0.981</td>
<td valign="top" align="center">0.007</td>
</tr>
<tr>
<td valign="top" align="left">Humans will eventually learn about how nature works to be able to control it</td>
<td valign="top" align="center">0.005</td>
<td valign="top" align="center">0.005</td>
<td valign="top" align="center">0.007</td>
<td valign="top" align="center">0.977</td>
<td valign="top" align="center">0.004</td>
</tr>
<tr>
<td valign="top" align="left">The so-called &#x2018;&#x2018;ecological crisis&#x2019;&#x2019; facing humankind has been greatly exaggerated</td>
<td valign="top" align="center">0.007</td>
<td valign="top" align="center">0.868</td>
<td valign="top" align="center">0.003</td>
<td valign="top" align="center">0.119</td>
<td valign="top" align="center">0.003</td>
</tr>
<tr>
<td valign="top" align="left">The balance of nature is very delicate and easily upset</td>
<td valign="top" align="center">0.003</td>
<td valign="top" align="center">0.013</td>
<td valign="top" align="center">0.004</td>
<td valign="top" align="center">0.965</td>
<td valign="top" align="center">0.015</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s3_2">
<label>3.2</label>
<title>Knowledge about bats</title>
<p>Respondents had poor knowledge regarding some aspects of bats in terms of being environmental indicators, vulnerability to environmental degradation and their ecological roles (<xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>). For instance, 92% of them agreed to the statement that bats lay eggs which is not correct.</p>
<table-wrap id="T3" position="float">
<label>Table&#xa0;3</label>
<caption>
<p>Knowledge of respondents regarding bats (N=380).</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Questions</th>
<th valign="top" align="center">Percentage (%) of answers that agreed with the question or statement posed</th>
<th valign="top" align="center">Correctness of the statement</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Bats lay eggs</td>
<td valign="top" align="center">92</td>
<td valign="top" align="center">Not correct</td>
</tr>
<tr>
<td valign="top" align="left">Bats are the only mammals in your area</td>
<td valign="top" align="center">94</td>
<td valign="top" align="center">Not correct</td>
</tr>
<tr>
<td valign="top" align="left">Bats are vulnerable to environmental degradation</td>
<td valign="top" align="center">9</td>
<td valign="top" align="center">Correct</td>
</tr>
<tr>
<td valign="top" align="left">Bats are an indicator of how healthy the environment is</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">Correct</td>
</tr>
<tr>
<td valign="top" align="left">Bats do not play an important role as pollinator</td>
<td valign="top" align="center">92</td>
<td valign="top" align="center">Not correct</td>
</tr>
<tr>
<td valign="top" align="left">Bats contribute to the regeneration of forest</td>
<td valign="top" align="center">9</td>
<td valign="top" align="center">Correct</td>
</tr>
<tr>
<td valign="top" align="left">Bats play a crucial role in seed dispersion in your area</td>
<td valign="top" align="center">8</td>
<td valign="top" align="center">Correct</td>
</tr>
<tr>
<td valign="top" align="left">Bats inhabit caves and trees in your area</td>
<td valign="top" align="center">8</td>
<td valign="top" align="center">Correct</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s3_3">
<label>3.3</label>
<title>Willingness to pay for bat conservation and associated factors</title>
<p>The mean WTP was UgX 794.97 (~ USD 0.21 <italic>Oanda rates as of September 03<sup>rd</sup>, 2024</italic>) representing the average maximum amount that respondents were willing to pay for bat conservation. The mean WTP was notably influenced by extreme values, with some bids reaching up to UGX 5,000 (~ USD 1.321) (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>). Given the skewed distribution (skewness = 3.56), the median WTP of UGX 500 (~ USD 0.132) provides a more robust measure of central tendency. This suggests that half of the respondents were willing to contribute up to UGX 500 (~ USD0.132) annually, while a smaller proportion indicated substantially higher amounts (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>).</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Histogram on willingness to pay (in UgX) for bat conservation.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fcosc-06-1527844-g003.tif"/>
</fig>
<p>Overall, the WTP values indicate a positive willingness to pay for bat conservation activities by the community members. In relation to the median monthly household income (as of March 2020) within this region, this bid amount represents 0.4%. The coefficient for bid amount was &#x2212;0.00007 and was not statistically significant (<italic>p</italic> = 0.40) (<xref ref-type="table" rid="T4">
<bold>Table&#xa0;4</bold>
</xref>). This suggested that the amount of the bid does not have a significant impact on the decision to pay, within the range of bid amounts used. Household size and education level among other factors studied significantly influenced willingness to pay for bat conservation (<xref ref-type="table" rid="T4">
<bold>Table&#xa0;4</bold>
</xref>). Notably, lower household sizes (<italic>p</italic> = 0.02) and lower education levels (<italic>p</italic> = 0.01) had significant negative association on the bid amount (<xref ref-type="table" rid="T4">
<bold>Table&#xa0;4</bold>
</xref>). Notably, increase in household size reduced the amount that households were willing to pay for bat conservation (Coefficient = &#x2212;0.11). Similarly, higher education levels reduced the&#xa0;amount that households were willing to pay for bat conservation (<xref ref-type="table" rid="T4">
<bold>Table&#xa0;4</bold>
</xref>).</p>
<table-wrap id="T4" position="float">
<label>Table&#xa0;4</label>
<caption>
<p>Willingness to contribute to conservation of bats and factors associated.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Variable</th>
<th valign="top" align="left">Coefficient</th>
<th valign="top" align="left">Std. error</th>
<th valign="top" align="left">z</th>
<th valign="top" align="left">p-value</th>
<th valign="top" align="left">95% Confidence interval</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Bid amount</td>
<td valign="top" align="left">&#x2212;0.00007</td>
<td valign="top" align="left">0.00008</td>
<td valign="top" align="left">&#x2212;0.84</td>
<td valign="top" align="left">0.40</td>
<td valign="top" align="left">[&#x2212;0.0002, 0.00009]</td>
</tr>
<tr>
<td valign="top" align="left">Household size</td>
<td valign="top" align="left">&#x2212;0.110</td>
<td valign="top" align="left">0.049</td>
<td valign="top" align="left">&#x2212;2.28</td>
<td valign="top" align="left">
<bold>
<italic>0.02*</italic>
</bold>
</td>
<td valign="top" align="left">[&#x2212;0.206, &#x2212;0.015]</td>
</tr>
<tr>
<td valign="top" align="left">Gender &#x2013; male (ref: female)</td>
<td valign="top" align="left">0.184</td>
<td valign="top" align="left">0.108</td>
<td valign="top" align="left">1.71</td>
<td valign="top" align="left">0.09</td>
<td valign="top" align="left">[&#x2212;0.027, 0.395]</td>
</tr>
<tr>
<td valign="top" align="left">Education &#x2013; Secondary (ref: primary)</td>
<td valign="top" align="left">&#x2212;0.458</td>
<td valign="top" align="left">0.166</td>
<td valign="top" align="left">&#x2212;2.77</td>
<td valign="top" align="left">
<bold>
<italic>0.01</italic>*</bold>
</td>
<td valign="top" align="left">[&#x2212;0.782, &#x2212;0.133]</td>
</tr>
<tr>
<td valign="top" align="left">Education &#x2013; Undergraduate (ref: primary)</td>
<td valign="top" align="left">&#x2212;1.022</td>
<td valign="top" align="left">0.517</td>
<td valign="top" align="left">&#x2212;1.98</td>
<td valign="top" align="left">0.05</td>
<td valign="top" align="left">[&#x2212;2.036, &#x2212;0.009]</td>
</tr>
<tr>
<td valign="top" align="left">Education &#x2013; Graduate (ref: primary)</td>
<td valign="top" align="left">&#x2212;0.477</td>
<td valign="top" align="left">0.654</td>
<td valign="top" align="left">&#x2212;0.73</td>
<td valign="top" align="left">0.47</td>
<td valign="top" align="left">[&#x2212;1.759, 0.806]</td>
</tr>
<tr>
<td valign="top" align="left">Work type &#x2013; farming (ref: non-farming)</td>
<td valign="top" align="left">&#x2212;0.068</td>
<td valign="top" align="left">0.200</td>
<td valign="top" align="left">&#x2212;0.34</td>
<td valign="top" align="left">0.73</td>
<td valign="top" align="left">[&#x2212;0.461, 0.324]</td>
</tr>
<tr>
<td valign="top" align="left">Years lived in area</td>
<td valign="top" align="left">0.005</td>
<td valign="top" align="left">0.008</td>
<td valign="top" align="left">0.64</td>
<td valign="top" align="left">0.52</td>
<td valign="top" align="left">[&#x2212;0.011, 0.022]</td>
</tr>
<tr>
<td valign="top" align="left">Constant</td>
<td valign="top" align="left">0.051</td>
<td valign="top" align="left">0.508</td>
<td valign="top" align="left">0.10</td>
<td valign="top" align="left">0.92</td>
<td valign="top" align="left">[&#x2212;0.945, 1.047]</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>* and bold values indicate significance at 5% confidence level.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<label>4</label>
<title>Discussion</title>
<p>This study indicated respondents had a positive attitude towards bats and environmental aspects that would undermine population of these mammals. They were also knowledgeable about some aspects of bats and were willing to contribute for their conservation. The positive attitude towards bats can be attributed to the values that people derive from these mammals either directly or indirectly. Such values can be linked to the entire ecosystem that provides opportunities (directly and indirectly) for accessing key livelihood assets. For instance, the respondents in this study noted bats to contribute guano for enhancing soil fertility. Others also indicated bats to consume pests for crops, livestock contributing to food availability. These are critical values that can support food production systems sustaining human populations. Indeed, over three quarters of the respondents in the study area practiced small scale agriculture as the main source of livelihood. This livelihood strategy relies heavily on the health of ecosystems across different scales (<xref ref-type="bibr" rid="B60">Power, 2010</xref>; <xref ref-type="bibr" rid="B63">Richardson, 2010</xref>; <xref ref-type="bibr" rid="B35">Frison et&#xa0;al., 2011</xref>; <xref ref-type="bibr" rid="B79">White et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B21">Crespin et&#xa0;al., 2023</xref>). Therefore, ecological imbalances would severely undermine the livelihood strategies employed by communities within such areas prompting for interventions for sustainability. For instance, climate change has been shown to severely affect agriculture through drought, pests and diseases among others (<xref ref-type="bibr" rid="B42">Javadinejad et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B43">Kim and Lee, 2023</xref>). Such incidences undermine food security and other welfare assets of communities driving them to explore interventions (e.g., nature based solutions) to sustain their livelihoods (<xref ref-type="bibr" rid="B71">Sonneveld et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B4">Aggrey et&#xa0;al., 2024b</xref>; <xref ref-type="bibr" rid="B30">Dunlop et&#xa0;al., 2024</xref>). Therefore, the positive attitudes attached to bats directly and indirectly in this study indicates the value that communities attach to this mammalian group. Similar results have been obtained in other areas like the Battambang Province in the northwest of Cambodia (<xref ref-type="bibr" rid="B67">Shapiro et&#xa0;al., 2021</xref>). Notably, respondents had a positive attitude towards cave roosting bats. This was attributed to the benefits that people associated with bats e.g., hunting them for meat, provision of guano etc (<xref ref-type="bibr" rid="B67">Shapiro et&#xa0;al., 2021</xref>). While the study site of Battambang Province in the northwest of Cambodia may not be similar to the one for our study, such results provide opportunities for enhancing conservation programming within communities. This is critical in the current era of emerging and remerging infectious diseases with the potential of fueling bat persecution (<xref ref-type="bibr" rid="B49">Lu et&#xa0;al., 2021</xref>). Indeed, this has been evidenced in northern parts of Uganda calling for interventions to educate the public about how to live safely with bats (<xref ref-type="bibr" rid="B31">Ejotre et&#xa0;al., 2022</xref>). However, while such negative attitudes are increasing because of diseases traced to bats, there is still an opportunity to raise awareness which has been shown to be effective in enhancing positive attitudes towards bats. This has been demonstrated by Bosco and colleagues indicating informational stimuli to increase the positive attitudes towards bats (<xref ref-type="bibr" rid="B9">Boso et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B31">Ejotre et&#xa0;al., 2022</xref>).</p>
<p>In terms of knowledge of bats, respondents had poor knowledge of these mammals in terms of being environmental indicators, their vulnerability to environmental degradation and their ecological roles e.g., seed dispersal. However, some were knowledgeable on some aspects of the mammalian group. Notably, some respondents indicated bats to support seed dispersal and forest regeneration. Additionally, some indicated bats inhabit caves and trees and are vulnerable to environmental degradation. This discrepancy can be associated with poor access to information regarding the biology and ecological aspects of bats. This result is similar to that obtained in Southwestern parts of Uganda indicating community members have poor knowledge of the public health threats associated with bats (<xref ref-type="bibr" rid="B57">Ninsiima et&#xa0;al., 2024</xref>). Similarly, a study in the northern parts of the country showed varied knowledge regarding bats e.g., physical features, biology among others (<xref ref-type="bibr" rid="B31">Ejotre et&#xa0;al., 2022</xref>). Meanwhile, elsewhere in countries like Mauritius, it has been shown that community members have poor understanding of the reproductive biology of bats (<xref ref-type="bibr" rid="B18">Chandr Jaunky et&#xa0;al., 2021</xref>). Access to information regarding bats would not only improve the community understanding of mammalian group but also enhance positive attitudes (<xref ref-type="bibr" rid="B9">Boso et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B31">Ejotre et&#xa0;al., 2022</xref>). This would support conservation planning across different scales contributing to sustainability.</p>
<p>Regarding the willingness to pay for bat conservation, respondents indicated monetary contributions that they would make to support conservation actions for bats. This value was equivalent to 0.4% of the median monthly household income for the Elgon region as per the previous household census conducted within this area (<xref ref-type="bibr" rid="B75">UBOS, 2021</xref>). Similarly, comparing this bid amount to the monthly consumption expenditure per household in rural areas of Eastern Uganda equated to 0.3% (<xref ref-type="bibr" rid="B75">UBOS, 2021</xref>). This value thus reflects potential of enhancing bat conservation within Mount Elgon Biosphere Reserve. While this result may have been improved with integration of man hours (labor contributions), it provides a useful understanding of the value that community members attach to bats. Such value attached to bats can be driven by the livelihood assets derived from the mammalian group e.g., guano, sociocultural and spiritual benefits among others. These benefits are widespread across different communities and vary across space and time (<xref ref-type="bibr" rid="B3">Aggrey et&#xa0;al., 2024a</xref>). This is also partly reflected in the level of knowledge and the attitudes towards bats as revealed in this study. In relation to other studies, the result obtained in this study is similar to that obtained in Mauritius reflecting potential of community participation in bat conservation (<xref ref-type="bibr" rid="B18">Chandr Jaunky et&#xa0;al., 2021</xref>). Notably, community members indicated a monetary contribution to support conservation of Mauritian flying fox. This was associated with the better knowledge about bats and higher aesthetic value the communities attach to bats (<xref ref-type="bibr" rid="B18">Chandr Jaunky et&#xa0;al., 2021</xref>). In our study, results indicated education level and household size to be significantly associated with willingness to pay for conservation of bats. Specifically, lower education levels and smaller household sizes positively influenced willingness to pay for conservation of bats. In general, this result reflects the effects of sociodemographic factors in influencing bat conservation programming. Notably, education levels can have a bearing on the level of understanding of the values of bats. People who have spent their life working in a natural setting and observing the benefits provided by bats instead of pursuing higher education were more inclined to support bat conservation, as opposed to people who have become more disconnected from spending time in nature. This consequently influences attitudes regarding such species. This has been evidenced in Greece with community members&#x2019; willingness to pay for bat conservation influenced by education among other factors (<xref ref-type="bibr" rid="B47">Liordos et&#xa0;al., 2021</xref>). Notably, community members with lower education levels were more willing to support bat conservation compared to those with higher education levels. Conversely, a study in Nigeria indicated community members with higher education levels to value the bats more compared to those with lower education (<xref ref-type="bibr" rid="B2">Adeyanju et&#xa0;al., 2023</xref>). While there maybe differences in the contexts between existing studies and ours, the results elucidate the role of education and local traditional knowledge in bat conservation. Our study contradicts the general expectation that higher education levels improve understanding of the values and increase motivations to pay for its conservation. This can be associated with the recent occurrences of diseases associated with these mammals fueling negative attitudes towards its conservation. This has recently been evidenced in Northern parts of Uganda (<xref ref-type="bibr" rid="B31">Ejotre et&#xa0;al., 2022</xref>). Although not significant, years lived in the area was associated with willingness to pay for bat conservation. This can be explained by the improved knowledge of the existing natural resources and their value especially during limited alternative resources (<xref ref-type="bibr" rid="B8">Boafo et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B1">Abdullah and Khan, 2023</xref>). Similar result has been indicated in a study conducted in Mauritius indicating age of the respondents to be significantly associated with willingness to pay for bat conservation (<xref ref-type="bibr" rid="B18">Chandr Jaunky et&#xa0;al., 2021</xref>). Additionally, in Greece, older persons were noted to be willing to pay for bat conservation (<xref ref-type="bibr" rid="B47">Liordos et&#xa0;al., 2021</xref>). Regarding gender, while there was no significant association with willingness to pay for bat conservation, there was a positive relationship. This result is similar to that in the Mauritius study that indicated gender to have a positive influence on bat conservation by community members (<xref ref-type="bibr" rid="B18">Chandr Jaunky et&#xa0;al., 2021</xref>). This result is also similar to that obtained on Mexican free tailed bat that indicated females to be willing to pay for its conservation (<xref ref-type="bibr" rid="B37">Haefele et&#xa0;al., 2018</xref>). These factors provide avenues for leveraging human dimensions of bat conservation with Mount Elgon region of Uganda.</p>
</sec>
<sec id="s5" sec-type="conclusions">
<label>5</label>
<title>Conclusion and recommendations</title>
<p>This study indicated willingness to pay for bat conservation within Mount Elgon Biosphere Reserve of Uganda. Education level and household size were the key factors associated with the willingness to pay. Years lived in the area also had a positive influence on the willingness to pay for bat conservation. While this study could have been improved with integration of methods for analyzing man hours that respondents maybe willing to contribute, it provides an understanding of how communities are willing to engage in bat conservation programming. Future conservation programs targeting bats are thus likely to succeed in this area given the positive attitudes associated with these mammals. We recommend longitudinal studies to explicitly understand contributions of communities to bat conservation while analyzing factors associated with such contributions. This should be done in different areas of Uganda as well as Africa and the globe so as to support conservation programs targeting this mammalian group. Lastly, education programs on the values of bats as well as ways of living safely with these creatures should be initiated within this region. Such education programs should integrate community members of different education levels.</p>
</sec>
</body>
<back>
<sec id="s6" 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="s7" sec-type="ethics-statement">
<title>Ethics statement</title>
<p>The studies involving humans were approved by Makerere University College of Agricultural and Environmental Sciences Research and Ethics Committee. 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="s8" sec-type="author-contributions">
<title>Author contributions</title>
<p>SA: Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Writing &#x2013; original draft. IR: Conceptualization, Supervision, Writing &#x2013; review &amp; editing. ES: Conceptualization, Supervision, Writing &#x2013; review &amp; editing. RMK: Conceptualization, Supervision, Writing &#x2013; review &amp; editing. CM: Conceptualization, Supervision, Writing &#x2013; review &amp; editing. RCK: Conceptualization, Funding acquisition, Project administration, Resources, Supervision, Writing &#x2013; review &amp; editing.</p>
</sec>
<sec id="s9" sec-type="funding-information">
<title>Funding</title>
<p>The author(s) declare that financial support was received for the research and/or publication of this article. This study was supported in part by Colorado State University.</p>
</sec>
<sec id="s10" 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="s11" sec-type="ai-statement">
<title>Generative AI statement</title>
<p>The author(s) declare that no Generative AI was used in the creation of this manuscript.</p>
</sec>
<sec id="s12" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<sec id="s13" sec-type="supplementary-material">
<title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fcosc.2025.1527844/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fcosc.2025.1527844/full#supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="SupplementaryFile1.docx" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"/>
<supplementary-material xlink:href="SupplementaryFile2.docx" id="SM2" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"/>
</sec>
<fn-group>
<title>Abbreviations</title>
<fn fn-type="abbr" id="abbrev1">
<p>CVM, Contingent Valuation Method; WTP, Willingness to Pay; NEP, New Ecological Paradigm; OLS, Ordinary Least Squares; UBOS, Uganda Bureau of Statistics.</p>
</fn>
</fn-group>
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<title>References</title>
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