100 lines
12 KiB
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100 lines
12 KiB
XML
<document id="C005562660E8871172A35E0308D0889E" ID-CLB-Dataset="5039" ID-DOI="10.1080/00222933.2018.1492749" ID-GBIF-Dataset="c7756ba6-f426-40d4-ad71-e65fc2430d6f" ID-ISSN="1464-5262" ID-Zenodo-Dep="5175099" IM.metadata_approvedBy="felipe" IM.tables_requiresApprovalFor="existingObjects,plazi" IM.taxonomicNames_approvedBy="felipe" checkinTime="1628562071246" checkinUser="felipe" docAuthor="Ramos, Yan Gabriel Celli, Aximoff, Izar Araujo & Rosa, Clarissa Alves da" docDate="2018" docId="9C08B8186735A119FF796D0BFE62F9D1" docLanguage="en" docName="JNatHist.52.27-28.1801-1815.pdf" docOrigin="Journal of Natural History 52 (27 - 28)" docSource="http://dx.doi.org/10.1080/00222933.2018.1492749" docStyle="DocumentStyle:485A7191CD41D6261F41521A3380DC73.9:JNatHist.2017-.journal_article.1cover" docStyleId="485A7191CD41D6261F41521A3380DC73" docStyleName="JNatHist.2017-.journal_article.1cover" docStyleVersion="9" docTitle="Data Walker 1862" docType="treatment" docVersion="7" lastPageNumber="1806" masterDocId="6031C0606733A11FFFD96E3BFFD4FFA8" masterDocTitle="Capybaras (Rodentia: Cavidae) in highlands: environmental variables related to distribution, and herbivory effects on a common plant species" masterLastPageNumber="1815" masterPageNumber="1801" pageNumber="1806" updateTime="1699071634849" updateUser="ExternalLinkService" zenodo-license-document="CLOSED">
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<mods:title id="563F33F03B0371D391E7C73142D77615">Capybaras (Rodentia: Cavidae) in highlands: environmental variables related to distribution, and herbivory effects on a common plant species</mods:title>
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<mods:namePart id="1634120DF22C0FEB6772AC0156BF32B0">Ramos, Yan Gabriel Celli</mods:namePart>
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<mods:namePart id="BF76418972BF2F64D9DB1C674CD75754">Aximoff, Izar Araujo</mods:namePart>
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<mods:namePart id="1ECD763EF72094BDC956E6407335917B">Rosa, Clarissa Alves da</mods:namePart>
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<mods:title id="F2DDABD6EA6D0807C795633A431A8D9F">Journal of Natural History</mods:title>
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<mods:date id="0A460F3CA16D50186A87880818697ECA">2018</mods:date>
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<mods:number id="39EAC0CAB458FCB4382F81F3D0730A25">2018-07-23</mods:number>
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<mods:number id="2CAABA6679FC8A66EE0C08217E4C4B52">27 - 28</mods:number>
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<mods:identifier id="B7ED69F078211057BD40B0DC713528BF" type="DOI">10.1080/00222933.2018.1492749</mods:identifier>
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<treatment id="9C08B8186735A119FF796D0BFE62F9D1" ID-DOI="http://doi.org/10.5281/zenodo.5187624" ID-GBIF-Taxon="183978829" ID-Zenodo-Dep="5187624" LSID="urn:lsid:plazi:treatment:9C08B8186735A119FF796D0BFE62F9D1" httpUri="http://treatment.plazi.org/id/9C08B8186735A119FF796D0BFE62F9D1" lastPageNumber="1806" pageId="6" pageNumber="1806">
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<paragraph id="141E090E6735A119FF796D0BFE9CFCE2" blockId="6.[160,328,816,842]" box="[160,328,816,842]" pageId="6" pageNumber="1806">
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<heading id="4F56BE626735A119FF796D0BFE9CFCE2" bold="true" box="[160,328,816,842]" centered="true" fontSize="11" level="2" pageId="6" pageNumber="1806" reason="3">
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<emphasis id="26D5D51C6735A119FF796D0BFE9CFCE2" bold="true" box="[160,328,816,842]" italics="true" pageId="6" pageNumber="1806">
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<taxonomicName id="D3A1728D6735A119FF796D0BFF08FCE2" ID-CoL="926P8" authorityName="Walker" authorityYear="1862" box="[160,220,816,842]" class="Insecta" family="Noctuidae" genus="Data" kingdom="Animalia" order="Lepidoptera" pageId="6" pageNumber="1806" phylum="Arthropoda" rank="genus">Data</taxonomicName>
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analysis
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</emphasis>
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<paragraph id="141E090E6735A119FF796D5DFC22FACB" blockId="6.[160,1156,870,1657]" pageId="6" pageNumber="1806">
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We used generalised linear mixed models (GLMM) with a binomial distribution (
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<bibRefCitation id="703074FF6735A119FBDA6D5DFF02FC09" author="Bolker BM & Brooks ME & Clark CJ & Geange SW & Poulsen JR & Stevens MHH & White JS" pageId="6" pageNumber="1806" pagination="127 - 136" refId="ref6361" refString="Bolker BM, Brooks ME, Clark CJ, Geange SW, Poulsen JR, Stevens MHH, White JS. 2008. Generalized linear mixed models: a practical guide for ecology and evolution. Trends Ecol Evol. 24: 127 - 136." type="journal article" year="2008">Bolker et al. 2008</bibRefCitation>
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;
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<bibRefCitation id="703074FF6735A119FF306DB2FE7DFC09" author="Zuur AF & Ieno EN & Walker NJ & Saveliev AA & Smith GM" box="[233,425,905,929]" pageId="6" pageNumber="1806" refId="ref8753" refString="Zuur AF, Ieno EN, Walker NJ, Saveliev AA, Smith GM. 2009. Mixed effects models and extensions in ecology with R. USA: Springer." type="book" year="2009">Zuur et al. 2009</bibRefCitation>
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) to evaluate the environmental variables that affect capybara occurrence in the high-altitude grasslands of INP. We considered each site a sample unit, and the response variable was the presence/absence of capybaras during each field campaign. To define the candidate models, we used environmental variables as fixed factors and the field campaigns (seasonal variation) as random effects to control pseudoreplication (
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<bibRefCitation id="703074FF6735A119FF7F6A0DFE14FBE6" author="Millar RB & Anderson MJ" box="[166,448,1078,1102]" pageId="6" pageNumber="1806" pagination="397 - 407" refId="ref7309" refString="Millar RB, Anderson MJ. 2004. Remedies for pseudoreplication. Fisheries Res. 70: 397 - 407." type="journal article" year="2004">Millar and Anderson 2004</bibRefCitation>
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). Since the seasonal variation of capybaras is not the focus of our study, the control of these random effects is important because we lack of knowledge of the history of the sampled areas. In addition, capybaras can alter their habitat use throughout the year (
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<bibRefCitation id="703074FF6735A119FECD6AA5FD90FB1E" author="Corriale MJ & Herrera EA" box="[276,580,1182,1206]" pageId="6" pageNumber="1806" pagination="191 - 201" refId="ref6620" refString="Corriale MJ, Herrera EA. 2014. Patterns of habitat use and selection by the capybara (Hydrochoerus hydrochaeris): a landscape-scale analysis. Ecol Res. 29: 191 - 201." type="journal article" year="2014">Corriale and Herrera 2014</bibRefCitation>
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). We considered the models with small Akaike's Information Criterion (ΔAIC ≤ 2) to have the best descriptive capacity (
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<bibRefCitation id="703074FF6735A119FC3F6AFAFE9DFB53" author="Burnham KP & Anderson DR" pageId="6" pageNumber="1806" refId="ref6485" refString="Burnham KP, Anderson DR. 2002. Model selection and inference: A Practical Information-theoretic. New York: Springer-Verlag." type="book" year="2002">Burnham and Anderson 2002</bibRefCitation>
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) regarding capybara habitat use. We averaged the values of the variables that comprised the best models in terms of the Akaike's Information Criterion weight (AICω) values of each model. Modelling was performed using the function ‘glmer’ in the ‘lme4’ suite of the R software environment (R
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<bibRefCitation id="703074FF6735A119FDCC6B70FCB2FACB" author="Development Core Team" box="[533,870,1355,1379]" pageId="6" pageNumber="1806" refId="ref7942" refString="R Development Core Team. 2009. R: A language and environment for statistical computing. R Foundation for Statistical Computing. http: // www. r-project. org. [accessed 2015 Dec 15]." type="url" year="2009">Development Core Team 2009</bibRefCitation>
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;
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<bibRefCitation id="703074FF6735A119FCAB6B70FC3EFACB" author="Bates DM" box="[882,1002,1355,1379]" pageId="6" pageNumber="1806" refId="ref6235" refString="Bates DM. 2010. lme 4: mixed-effects modeling with R. Madison: Springer." type="book" year="2010">Bates 2010</bibRefCitation>
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).
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</paragraph>
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</subSubSection>
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<subSubSection id="5CBB5A856735A119FF196B55FE62F9D1" pageId="6" pageNumber="1806" type="description">
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<paragraph id="141E090E6735A119FF196B55FE62F9D1" blockId="6.[160,1156,870,1657]" pageId="6" pageNumber="1806">
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To evaluate the effects of capybara herbivory on
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<taxonomicName id="D3A1728D6735A119FCF06B56FC12FA2E" box="[809,966,1389,1414]" class="Liliopsida" family="Actinocephalidae" genus="Actinocephalus" kingdom="Chromista" order="Eugregarinida" pageId="6" pageNumber="1806" phylum="Miozoa" rank="species" species="polyanthus">
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<emphasis id="26D5D51C6735A119FCF06B56FC12FA2E" box="[809,966,1389,1414]" italics="true" pageId="6" pageNumber="1806">A. polyanthus</emphasis>
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</taxonomicName>
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individuals, we calculated the proportions of damaged and intact rosettes and compared them using a chi-square test. To evaluate the effects of capybara herbivory on the reproductive stages of
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<taxonomicName id="D3A1728D6735A119FECB6BEEFE7CFA46" box="[274,424,1493,1518]" class="Liliopsida" family="Actinocephalidae" genus="Actinocephalus" kingdom="Chromista" order="Eugregarinida" pageId="6" pageNumber="1806" phylum="Miozoa" rank="species" species="polyanthus">
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<emphasis id="26D5D51C6735A119FECB6BEEFE7CFA46" box="[274,424,1493,1518]" italics="true" pageId="6" pageNumber="1806">A. polyanthus</emphasis>
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</taxonomicName>
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, we tested two approaches using chi-square: (1) we compared the proportions of both damaged and intact rosettes that flourished and those that did not flourish; (2) for damaged rosettes, we compared the proportions of anomalous rosettes and non-anomalous rosettes. We performed the analysis in the Bioestat program (
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<bibRefCitation id="703074FF6735A119FF30685AFE7DF9D1" author="Ayres M & Ayres JRM & Ayres DL & Santos AS" box="[233,425,1633,1657]" pageId="6" pageNumber="1806" refId="ref5946" refString="Ayres M, Ayres JRM, Ayres DL, Santos AS. 2007. Bioestat 5.0 - aplicacoes estatisticas nas areas das ciencias biologicas e medicas [Biostat 5.0 - statistics applications in the areas of the biological and medical sciences]. Belem: Sociedade Civil Mamiraua." type="book" year="2007">Ayres et al. 2007</bibRefCitation>
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).
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</paragraph>
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</subSubSection>
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</treatment>
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</document> |