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Vegetation canopy height shapes bats’ occupancy: a remote sensing approach

2024-07Journal article Open access
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dc.contributor.authorMartins, F. C.
dc.contributor.authorGodinho, S.
dc.contributor.authorGuiomar, N.
dc.contributor.authorMedinas, D.
dc.contributor.authorRebelo, H.
dc.contributor.authorSegurado, P.
dc.contributor.authorMarques, J. T.
dc.date.accessioned2025-07-14T10:09:44Z
dc.date.available2025-07-14T10:09:44Z
dc.date.issued2024-07
dc.description.abstractAnthropogenic activities have significantly altered land cover on a global scale. These changes often have a negative effect on biodiversity limiting the distribution of species. The extent of the effect on species’ distribution depends on the landscape composition and configuration at a local and landscape level. To better understand this effect on a large scale, we evaluated how land cover and vegetation structure shape bat species’ occurrence while considering species’ imperfect detection. We hypothesize that intensification of anthropogenic activities in agriculture, for example, reduces heterogeneity of land cover and vegetation structure, and thereby, limits bat occurrence. To investigate this, we conducted acoustic bat sampling across 59 locations in southern Portugal, each with three spatial replicates. We derived fine-scale vegetation structural metrics by combining spaceborne LiDAR (GEDI) and synthetic aperture radar data (Sentinel-1 and ALOS/PALSAR-2). Additionally, we included land cover metrics and high-resolution climate data from CHELSA. Our findings revealed an important relationship between bat species’ occupancy and vegetation structure, particularly with vegetation canopy height. Moreover, forest and shrubland proportions were the main land cover types influencing bat species responses. All species’ best-ranking occupancy models included at least one climatic variable (temperature, humidity, or potential evapotranspiration), demonstrating the importance of climate when predicting bat dis- tribution. Our acoustic surveys had a species’ detection probability varying from 0.19 to 0.86, and it was influenced by night conditions. These findings underscore the importance of modeling imperfect detection, especially for highly vagile and elusive organisms like bats. Our results demonstrate the effectiveness of using vegetation and landscape metrics derived from high-resolution remote sensing data to model species distribution in the context of biodiversity monitoring and conservation.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationF. C. Martins, S. Godinho, N. Guiomar, D. Medinas, H. Rebelo, P. Segurado & J. T. Marques (2024) Vegetation canopy height shapes bats’ occupancy: a remote sensing approach, GIScience & Remote Sensing, 61:1, 2374150. https://doi.org/10.1080/15481603.2024.2374150pt_PT
dc.identifier.doi10.1080/15481603.2024.2374150pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.5/102132
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherTaylor & Francispt_PT
dc.relationFrom bat species occupancy to effective conservation plans
dc.relationIntegração de dados de diferentes satelites para mapear combustiveis florestais: o papel da detecção remota para uma efectiva gestão dos combustiveis florestais
dc.relationForest Research Centre
dc.relationLaboratory for Sustainable Land Use and Ecosystem Services
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectLand coverpt_PT
dc.subjectspecies occurrencept_PT
dc.subjectGEDIpt_PT
dc.subjectbatspt_PT
dc.subjectvegetation canopy heightpt_PT
dc.titleVegetation canopy height shapes bats’ occupancy: a remote sensing approachpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleFrom bat species occupancy to effective conservation plans
oaire.awardTitleIntegração de dados de diferentes satelites para mapear combustiveis florestais: o papel da detecção remota para uma efectiva gestão dos combustiveis florestais
oaire.awardTitleForest Research Centre
oaire.awardTitleLaboratory for Sustainable Land Use and Ecosystem Services
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/OE/2020.05448.BD/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/Concurso de Projetos de Investigação Científica e Desenvolvimento Tecnológico no Âmbito da Prevenção e Combate a Incêndios Florestais - 2019/PCIF%2FGRF%2F0116%2F2019/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/Concurso de avaliação no âmbito do Programa Plurianual de Financiamento de Unidades de I&D (2017%2F2018) - Financiamento Base/UIDB%2F05183%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/Concurso para Atribuição do Estatuto e Financiamento de Laboratórios Associados (LA)/LA%2FP%2F0121%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00239%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/LA%2FP%2F0092%2F2020/PT
oaire.citation.issue1pt_PT
oaire.citation.startPage2374150pt_PT
oaire.citation.titleGIScience & Remote Sensingpt_PT
oaire.citation.volume61pt_PT
oaire.fundingStreamOE
oaire.fundingStreamConcurso de Projetos de Investigação Científica e Desenvolvimento Tecnológico no Âmbito da Prevenção e Combate a Incêndios Florestais - 2019
oaire.fundingStreamConcurso de avaliação no âmbito do Programa Plurianual de Financiamento de Unidades de I&D (2017/2018) - Financiamento Base
oaire.fundingStreamConcurso para Atribuição do Estatuto e Financiamento de Laboratórios Associados (LA)
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
project.funder.identifierhttp://doi.org/10.13039/501100001871
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rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
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