Soil and forest structure predicts large-scale patterns of occurrence and local abundance of a widespread Amazonian frog
Autor(a) principal: | |
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Data de Publicação: | 2018 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional do INPA |
Texto Completo: | https://repositorio.inpa.gov.br/handle/1/15351 |
Resumo: | The distribution of biodiversity within the Amazon basin is often structured by sharp environmental boundaries, such as large rivers. The Amazon region is also characterized by subtle environmental clines, but how they might affect the distributions and abundance of organisms has so far received less attention. Here, we test whether soil and forest characteristics are associated with the occurrence and relative abundance of the forest-floor dwelling Aromobatid frog, Allobates femoralis. We applied a structured sampling regime along an 880 km long transect through forest of different density. High detection probabilities were estimated for A. femoralis in each of the sampling modules. Using generalized linear mixed-effects models and simple linear regressions that take detectability into account, we show that A. femoralis is more abundant in open forests than in dense forests. The presence and relative abundance of A. femoralis is also positively associated with clay-rich soils, which are poorly drained and therefore likely support the standing water bodies required for reproduction. Taken together, we demonstrate that relatively easy-to-measure environmental features can explain the distribution and abundance of a widespread species at different spatial scales. Such proxies are of clear value to ecologists and conservation managers working in large inaccessible areas such as the Amazon basin. © 2018 Ferreira et al. |
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Ferreira, Anthony S.Jehle, RobertStow, Adam J.Lima, Albertina Pimental2020-05-08T20:19:07Z2020-05-08T20:19:07Z2018https://repositorio.inpa.gov.br/handle/1/1535110.7717/peerj.5424The distribution of biodiversity within the Amazon basin is often structured by sharp environmental boundaries, such as large rivers. The Amazon region is also characterized by subtle environmental clines, but how they might affect the distributions and abundance of organisms has so far received less attention. Here, we test whether soil and forest characteristics are associated with the occurrence and relative abundance of the forest-floor dwelling Aromobatid frog, Allobates femoralis. We applied a structured sampling regime along an 880 km long transect through forest of different density. High detection probabilities were estimated for A. femoralis in each of the sampling modules. Using generalized linear mixed-effects models and simple linear regressions that take detectability into account, we show that A. femoralis is more abundant in open forests than in dense forests. The presence and relative abundance of A. femoralis is also positively associated with clay-rich soils, which are poorly drained and therefore likely support the standing water bodies required for reproduction. Taken together, we demonstrate that relatively easy-to-measure environmental features can explain the distribution and abundance of a widespread species at different spatial scales. Such proxies are of clear value to ecologists and conservation managers working in large inaccessible areas such as the Amazon basin. © 2018 Ferreira et al.Volume 2018, Número 8Attribution-NonCommercial-NoDerivs 3.0 Brazilhttp://creativecommons.org/licenses/by-nc-nd/3.0/br/info:eu-repo/semantics/openAccessAllobates FemoralisAnuraData AnalysisEcologyForest StructureManagerNonhumanRainforestRiverSamplingSoilTadpoleTropical Rain ForestSoil and forest structure predicts large-scale patterns of occurrence and local abundance of a widespread Amazonian froginfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlePeerJengreponame:Repositório Institucional do INPAinstname:Instituto Nacional de Pesquisas da Amazônia (INPA)instacron:INPAORIGINALSoil.pdfSoil.pdfapplication/pdf2244266https://repositorio.inpa.gov.br/bitstream/1/15351/1/Soil.pdf65a3fbd9ae04fdec9590e26fc222f05fMD511/153512020-07-14 11:07:28.82oai:repositorio:1/15351Repositório de PublicaçõesPUBhttps://repositorio.inpa.gov.br/oai/requestopendoar:2020-07-14T15:07:28Repositório Institucional do INPA - Instituto Nacional de Pesquisas da Amazônia (INPA)false |
dc.title.en.fl_str_mv |
Soil and forest structure predicts large-scale patterns of occurrence and local abundance of a widespread Amazonian frog |
title |
Soil and forest structure predicts large-scale patterns of occurrence and local abundance of a widespread Amazonian frog |
spellingShingle |
Soil and forest structure predicts large-scale patterns of occurrence and local abundance of a widespread Amazonian frog Ferreira, Anthony S. Allobates Femoralis Anura Data Analysis Ecology Forest Structure Manager Nonhuman Rainforest River Sampling Soil Tadpole Tropical Rain Forest |
title_short |
Soil and forest structure predicts large-scale patterns of occurrence and local abundance of a widespread Amazonian frog |
title_full |
Soil and forest structure predicts large-scale patterns of occurrence and local abundance of a widespread Amazonian frog |
title_fullStr |
Soil and forest structure predicts large-scale patterns of occurrence and local abundance of a widespread Amazonian frog |
title_full_unstemmed |
Soil and forest structure predicts large-scale patterns of occurrence and local abundance of a widespread Amazonian frog |
title_sort |
Soil and forest structure predicts large-scale patterns of occurrence and local abundance of a widespread Amazonian frog |
author |
Ferreira, Anthony S. |
author_facet |
Ferreira, Anthony S. Jehle, Robert Stow, Adam J. Lima, Albertina Pimental |
author_role |
author |
author2 |
Jehle, Robert Stow, Adam J. Lima, Albertina Pimental |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Ferreira, Anthony S. Jehle, Robert Stow, Adam J. Lima, Albertina Pimental |
dc.subject.eng.fl_str_mv |
Allobates Femoralis Anura Data Analysis Ecology Forest Structure Manager Nonhuman Rainforest River Sampling Soil Tadpole Tropical Rain Forest |
topic |
Allobates Femoralis Anura Data Analysis Ecology Forest Structure Manager Nonhuman Rainforest River Sampling Soil Tadpole Tropical Rain Forest |
description |
The distribution of biodiversity within the Amazon basin is often structured by sharp environmental boundaries, such as large rivers. The Amazon region is also characterized by subtle environmental clines, but how they might affect the distributions and abundance of organisms has so far received less attention. Here, we test whether soil and forest characteristics are associated with the occurrence and relative abundance of the forest-floor dwelling Aromobatid frog, Allobates femoralis. We applied a structured sampling regime along an 880 km long transect through forest of different density. High detection probabilities were estimated for A. femoralis in each of the sampling modules. Using generalized linear mixed-effects models and simple linear regressions that take detectability into account, we show that A. femoralis is more abundant in open forests than in dense forests. The presence and relative abundance of A. femoralis is also positively associated with clay-rich soils, which are poorly drained and therefore likely support the standing water bodies required for reproduction. Taken together, we demonstrate that relatively easy-to-measure environmental features can explain the distribution and abundance of a widespread species at different spatial scales. Such proxies are of clear value to ecologists and conservation managers working in large inaccessible areas such as the Amazon basin. © 2018 Ferreira et al. |
publishDate |
2018 |
dc.date.issued.fl_str_mv |
2018 |
dc.date.accessioned.fl_str_mv |
2020-05-08T20:19:07Z |
dc.date.available.fl_str_mv |
2020-05-08T20:19:07Z |
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 |
https://repositorio.inpa.gov.br/handle/1/15351 |
dc.identifier.doi.none.fl_str_mv |
10.7717/peerj.5424 |
url |
https://repositorio.inpa.gov.br/handle/1/15351 |
identifier_str_mv |
10.7717/peerj.5424 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.ispartof.pt_BR.fl_str_mv |
Volume 2018, Número 8 |
dc.rights.driver.fl_str_mv |
Attribution-NonCommercial-NoDerivs 3.0 Brazil http://creativecommons.org/licenses/by-nc-nd/3.0/br/ info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Attribution-NonCommercial-NoDerivs 3.0 Brazil http://creativecommons.org/licenses/by-nc-nd/3.0/br/ |
eu_rights_str_mv |
openAccess |
dc.publisher.none.fl_str_mv |
PeerJ |
publisher.none.fl_str_mv |
PeerJ |
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reponame:Repositório Institucional do INPA instname:Instituto Nacional de Pesquisas da Amazônia (INPA) instacron:INPA |
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Instituto Nacional de Pesquisas da Amazônia (INPA) |
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INPA |
institution |
INPA |
reponame_str |
Repositório Institucional do INPA |
collection |
Repositório Institucional do INPA |
bitstream.url.fl_str_mv |
https://repositorio.inpa.gov.br/bitstream/1/15351/1/Soil.pdf |
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Repositório Institucional do INPA - Instituto Nacional de Pesquisas da Amazônia (INPA) |
repository.mail.fl_str_mv |
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1809928883756072960 |