Estimating the diversity of tropical anurans in fragmented landscapes with acoustic monitoring: lessons from a sampling sufficiency perspective
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1007/s10531-022-02475-w http://hdl.handle.net/11449/237852 |
Resumo: | Determining the distribution and abundance of populations is the first step toward assessing biodiversity conservation status. This step is based on field observations that are largely influenced by the sampling method employed. Autonomous Recording Units (ARUs) are tools developed to improve species monitoring that employ acoustic communication. Although largely employed, the efforts required to achieve good diversity estimates with this technique are still unknown. We investigate the use of ARUs in estimating species richness of anuran assemblages in a tropical region, aiming to determine the sampling sufficiency of species richness at local and regional levels, analyze whether the asymptote point is related to forest cover, and investigate the influence of subsampling type over time on species richness estimates. We monitored amphibians in 14 streams embedded in landscapes representing a gradient from 20 to 70% native forest coverage. We detected a total of 14 species, with the regional sampling sufficiency of total species richness reached in 3448 min and influenced mainly by the terrestrial species' presence. Forest coverage had no influence on the minimum audio processing time required to achieve local asymptote. The subsampling schemes (temporally stratified and randomly assigned) had similar efficiency when using 5 min/h or more sample efforts. Our findings indicate that passive acoustic monitoring can adequately represent local anuran richness, focusing especially on the arboreal guild. Sampling effort can be optimized, with a 5 min/h duty cycle being sufficient to recover detection of most species, saving up to 75% of the effort devoted to auditing the acoustic dataset. |
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Estimating the diversity of tropical anurans in fragmented landscapes with acoustic monitoring: lessons from a sampling sufficiency perspectiveAmphibiaSurvey methodsAcoustic surveysAnura conservationTropical ecosystemsDetermining the distribution and abundance of populations is the first step toward assessing biodiversity conservation status. This step is based on field observations that are largely influenced by the sampling method employed. Autonomous Recording Units (ARUs) are tools developed to improve species monitoring that employ acoustic communication. Although largely employed, the efforts required to achieve good diversity estimates with this technique are still unknown. We investigate the use of ARUs in estimating species richness of anuran assemblages in a tropical region, aiming to determine the sampling sufficiency of species richness at local and regional levels, analyze whether the asymptote point is related to forest cover, and investigate the influence of subsampling type over time on species richness estimates. We monitored amphibians in 14 streams embedded in landscapes representing a gradient from 20 to 70% native forest coverage. We detected a total of 14 species, with the regional sampling sufficiency of total species richness reached in 3448 min and influenced mainly by the terrestrial species' presence. Forest coverage had no influence on the minimum audio processing time required to achieve local asymptote. The subsampling schemes (temporally stratified and randomly assigned) had similar efficiency when using 5 min/h or more sample efforts. Our findings indicate that passive acoustic monitoring can adequately represent local anuran richness, focusing especially on the arboreal guild. Sampling effort can be optimized, with a 5 min/h duty cycle being sufficient to recover detection of most species, saving up to 75% of the effort devoted to auditing the acoustic dataset.Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)Spanish Ministerio de Economia, Industria y CompetitividadUFLA Univ Fed Lavras, Conservat & Ecol Dept, BR-37200000 Lavras, MG, BrazilUniv Estadual Paulista, Biosci Inst, Dept Ecol, Spatial Ecol & Conservat Lab LEEC,UNESP, BR-13506900 Rio Claro, SP, BrazilUniv Autonoma Madrid, Fac Ciencias, Dept Ecol, Ciudad Univ Cantoblanco,C Darwin 2,Edificio Biol, E-28049 Madrid, SpainCornell Univ, K Lisa Yang Ctr Conservat Bioacoust, Cornell Lab Ornithol, 159 Sapsucker Woods Rd, Ithaca, NY 14850 USAInst Tecnol Vale Desenvolvimento Sustentavel, Biodiversidade & Serv Ecossistem, Boaventura da Silva 955, BR-66055090 Belem, Para, BrazilUniv Estadual Paulista, Biosci Inst, Dept Ecol, Spatial Ecol & Conservat Lab LEEC,UNESP, BR-13506900 Rio Claro, SP, BrazilCAPES: 001Spanish Ministerio de Economia, Industria y Competitividad: PEJ2018-004603-ASpringerUniversidade Federal de Lavras (UFLA)Universidade Estadual Paulista (UNESP)Univ Autonoma MadridCornell UnivInst Tecnol Vale Desenvolvimento SustentavelAnunciacao, Paula Ribeiro [UNESP]Sugai, Larissa Sayuri MoreiraMartello, FelipeCarvalho, Luis Marcelo Tavares deRibeiro, Milton Cezar [UNESP]2022-11-30T13:46:40Z2022-11-30T13:46:40Z2022-09-10info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article20http://dx.doi.org/10.1007/s10531-022-02475-wBiodiversity And Conservation. Dordrecht: Springer, 20 p., 2022.0960-3115http://hdl.handle.net/11449/23785210.1007/s10531-022-02475-wWOS:000852130800001Web of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengBiodiversity And Conservationinfo:eu-repo/semantics/openAccess2022-11-30T13:46:40Zoai:repositorio.unesp.br:11449/237852Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T17:51:48.144224Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Estimating the diversity of tropical anurans in fragmented landscapes with acoustic monitoring: lessons from a sampling sufficiency perspective |
title |
Estimating the diversity of tropical anurans in fragmented landscapes with acoustic monitoring: lessons from a sampling sufficiency perspective |
spellingShingle |
Estimating the diversity of tropical anurans in fragmented landscapes with acoustic monitoring: lessons from a sampling sufficiency perspective Anunciacao, Paula Ribeiro [UNESP] Amphibia Survey methods Acoustic surveys Anura conservation Tropical ecosystems |
title_short |
Estimating the diversity of tropical anurans in fragmented landscapes with acoustic monitoring: lessons from a sampling sufficiency perspective |
title_full |
Estimating the diversity of tropical anurans in fragmented landscapes with acoustic monitoring: lessons from a sampling sufficiency perspective |
title_fullStr |
Estimating the diversity of tropical anurans in fragmented landscapes with acoustic monitoring: lessons from a sampling sufficiency perspective |
title_full_unstemmed |
Estimating the diversity of tropical anurans in fragmented landscapes with acoustic monitoring: lessons from a sampling sufficiency perspective |
title_sort |
Estimating the diversity of tropical anurans in fragmented landscapes with acoustic monitoring: lessons from a sampling sufficiency perspective |
author |
Anunciacao, Paula Ribeiro [UNESP] |
author_facet |
Anunciacao, Paula Ribeiro [UNESP] Sugai, Larissa Sayuri Moreira Martello, Felipe Carvalho, Luis Marcelo Tavares de Ribeiro, Milton Cezar [UNESP] |
author_role |
author |
author2 |
Sugai, Larissa Sayuri Moreira Martello, Felipe Carvalho, Luis Marcelo Tavares de Ribeiro, Milton Cezar [UNESP] |
author2_role |
author author author author |
dc.contributor.none.fl_str_mv |
Universidade Federal de Lavras (UFLA) Universidade Estadual Paulista (UNESP) Univ Autonoma Madrid Cornell Univ Inst Tecnol Vale Desenvolvimento Sustentavel |
dc.contributor.author.fl_str_mv |
Anunciacao, Paula Ribeiro [UNESP] Sugai, Larissa Sayuri Moreira Martello, Felipe Carvalho, Luis Marcelo Tavares de Ribeiro, Milton Cezar [UNESP] |
dc.subject.por.fl_str_mv |
Amphibia Survey methods Acoustic surveys Anura conservation Tropical ecosystems |
topic |
Amphibia Survey methods Acoustic surveys Anura conservation Tropical ecosystems |
description |
Determining the distribution and abundance of populations is the first step toward assessing biodiversity conservation status. This step is based on field observations that are largely influenced by the sampling method employed. Autonomous Recording Units (ARUs) are tools developed to improve species monitoring that employ acoustic communication. Although largely employed, the efforts required to achieve good diversity estimates with this technique are still unknown. We investigate the use of ARUs in estimating species richness of anuran assemblages in a tropical region, aiming to determine the sampling sufficiency of species richness at local and regional levels, analyze whether the asymptote point is related to forest cover, and investigate the influence of subsampling type over time on species richness estimates. We monitored amphibians in 14 streams embedded in landscapes representing a gradient from 20 to 70% native forest coverage. We detected a total of 14 species, with the regional sampling sufficiency of total species richness reached in 3448 min and influenced mainly by the terrestrial species' presence. Forest coverage had no influence on the minimum audio processing time required to achieve local asymptote. The subsampling schemes (temporally stratified and randomly assigned) had similar efficiency when using 5 min/h or more sample efforts. Our findings indicate that passive acoustic monitoring can adequately represent local anuran richness, focusing especially on the arboreal guild. Sampling effort can be optimized, with a 5 min/h duty cycle being sufficient to recover detection of most species, saving up to 75% of the effort devoted to auditing the acoustic dataset. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-11-30T13:46:40Z 2022-11-30T13:46:40Z 2022-09-10 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.1007/s10531-022-02475-w Biodiversity And Conservation. Dordrecht: Springer, 20 p., 2022. 0960-3115 http://hdl.handle.net/11449/237852 10.1007/s10531-022-02475-w WOS:000852130800001 |
url |
http://dx.doi.org/10.1007/s10531-022-02475-w http://hdl.handle.net/11449/237852 |
identifier_str_mv |
Biodiversity And Conservation. Dordrecht: Springer, 20 p., 2022. 0960-3115 10.1007/s10531-022-02475-w WOS:000852130800001 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Biodiversity And Conservation |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
20 |
dc.publisher.none.fl_str_mv |
Springer |
publisher.none.fl_str_mv |
Springer |
dc.source.none.fl_str_mv |
Web of Science reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1808128226404335616 |