A roadmap for survey designs in terrestrial acoustic monitoring

dc.contributor.authorMoreira Sugai, Larissa Sayuri [UNESP]
dc.contributor.authorDesjonqueres, Camille
dc.contributor.authorFreire Silva, Thiago Sanna [UNESP]
dc.contributor.authorLlusia, Diego
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.contributor.institutionUAM
dc.contributor.institutionUniv Stirling
dc.contributor.institutionUniv Autonoma Madrid
dc.contributor.institutionUniversidade Federal de Goiás (UFG)
dc.date.accessioned2020-12-10T17:00:07Z
dc.date.available2020-12-10T17:00:07Z
dc.date.issued2019-11-13
dc.description.abstractPassive acoustic monitoring (PAM) is increasingly popular in ecological research and conservation programs, with high-volume and long-term data collection provided by automatized acoustic sensors offering unprecedented opportunities for faunal and ecosystem surveys. Practitioners and newcomers interested in PAM can easily find technical specifications for acoustic sensors and microphones, but guidelines on how to plan survey designs are largely scattered over the literature. Here, we (i) review spatial and temporal sampling designs used in passive acoustic monitoring, (ii) provide a synthesis of the crucial aspects of PAM survey design and (iii) propose a workflow to optimize recording autonomy and recording schedules. From 1992 to 2018, most of the 460 studies applying PAM in terrestrial environments have used a single recorder per site, covered broad spatial scales and rotated recorders between sites to optimize sampling effort. Continuous recording of specific diel periods was the main recording procedure used. When recording schedules were applied, a larger number of recordings per hour was generally associated with a smaller recording length. For PAM survey design, we proposed to (i) estimate memory/battery autonomy and associated costs, (ii) assess signal detectability to optimize recording schedules in order to recover maximum biological information and (iii) evaluate cost-benefit scenarios between sampling effort and budget to address potential biases from a given PAM survey design. Establishing standards for PAM data collection will improve the quality of inferences over the broad scope of PAM research and promote essential standardization for cross-scale research to understand long-term biodiversity trends in a changing world.en
dc.description.affiliationUniv Estadual Paulista, UNESP, Inst Biociencias, BR-13506900 Sao Paulo, Brazil
dc.description.affiliationUAM, Terr Ecol Grp, Dept Ecol, C Darwin 2, E-28049 Madrid, Spain
dc.description.affiliationUniv Stirling, Fac Nat Sci, Biol & Environm Sci, Stirling FK9 4LA, Scotland
dc.description.affiliationUniv Autonoma Madrid, Ctr Invest Biodiversidad & Cambio Global CIBC UAM, C Darwin 2, E-28049 Madrid, Spain
dc.description.affiliationUniv Fed Goias, Inst Ciencias Biol, Lab Herpetol & Comportamento Anim, Dept Ecol, Campus Samambaia,Ave Esperanca, BR-74001970 Goiania, Go, Brazil
dc.description.affiliationUnespUniv Estadual Paulista, UNESP, Inst Biociencias, BR-13506900 Sao Paulo, Brazil
dc.description.sponsorshipFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.description.sponsorshipCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
dc.description.sponsorshipRufford Foundation
dc.description.sponsorshipConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.description.sponsorshipComunidad de Madrid (CAM, Spain)
dc.description.sponsorshipMinisterio de Economia, Industria y Competitividad (MINECO/AEI/FEDER, Spain)
dc.description.sponsorshipIdFAPESP: 2015/25316-6
dc.description.sponsorshipIdCAPES: 817737/2015
dc.description.sponsorshipIdCAPES: 88881.068425/2014-01
dc.description.sponsorshipIdCNPq: 310144/2015-9
dc.description.sponsorshipIdComunidad de Madrid (CAM, Spain): 2016-T2/AMB-1722
dc.description.sponsorshipIdMinisterio de Economia, Industria y Competitividad (MINECO/AEI/FEDER, Spain): CGL2017-88764-R
dc.format.extent16
dc.identifierhttp://dx.doi.org/10.1002/rse2.131
dc.identifier.citationRemote Sensing In Ecology And Conservation. Hoboken: Wiley, 16 p., 2019.
dc.identifier.doi10.1002/rse2.131
dc.identifier.urihttp://hdl.handle.net/11449/194966
dc.identifier.wosWOS:000496162600001
dc.language.isoeng
dc.publisherWiley-Blackwell
dc.relation.ispartofRemote Sensing In Ecology And Conservation
dc.sourceWeb of Science
dc.subjectAcoustic monitoring
dc.subjectacoustic recorders
dc.subjectrecording schedules
dc.subjectrecording settings
dc.subjecttemporal sampling
dc.subjectwildlife survey
dc.titleA roadmap for survey designs in terrestrial acoustic monitoringen
dc.typeResenha
dcterms.licensehttp://olabout.wiley.com/WileyCDA/Section/id-406071.html
dcterms.rightsHolderWiley-Blackwell
unesp.author.orcid0000-0002-6248-291X[1]
unesp.author.orcid0000-0002-6150-3264[2]
unesp.author.orcid0000-0001-5432-2716[4]

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