Artigo

Predicting suitable nesting sites for the Black caiman (Melanosuchus niger Spix 1825) in the Central Amazon basin

After many years of illegal hunting and commercialization, the populations of the Black caiman (Melanosuchus niger) have been recovering during the last four decades due to the enforcement of a legislation that inhibits their international commercialization. Protecting nesting sites, in which vulner...

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Autor principal: Banon, Gabriela Paola Ribeiro
Outros Autores: Banon, Gerald, Villamarín, Francisco, Arraut, E. M., Moulatlet, Gabriel M., Rennó, Camilo Daleles, Banon, Lise Christine, Marioni, Boris, Novo, Evlyn M.L.M.
Grau: Artigo
Idioma: English
Publicado em: Neotropical Biodiversity 2020
Acesso em linha: https://repositorio.inpa.gov.br/handle/1/15582
id oai:repositorio:1-15582
recordtype dspace
spelling oai:repositorio:1-15582 Predicting suitable nesting sites for the Black caiman (Melanosuchus niger Spix 1825) in the Central Amazon basin Banon, Gabriela Paola Ribeiro Banon, Gerald Villamarín, Francisco Arraut, E. M. Moulatlet, Gabriel M. Rennó, Camilo Daleles Banon, Lise Christine Marioni, Boris Novo, Evlyn M.L.M. After many years of illegal hunting and commercialization, the populations of the Black caiman (Melanosuchus niger) have been recovering during the last four decades due to the enforcement of a legislation that inhibits their international commercialization. Protecting nesting sites, in which vulnerable life forms (as reproductive females, eggs, and neonates) spend considerable time, is one of the most appropriate conservation actions aimed at preserving caiman populations. Thus, identifying priority areas for this activity should be the primary concern of conservationists. As caiman nesting sites are often found across the areas with difficult access, collecting nest information requires extensive and costly fieldwork efforts. In this context, species distribution modeling can be a valuable tool for predicting the locations of caiman nests in the Amazon basin. In this work, the maximum entropy method (MaxEnt) was applied to model the M. niger nest occurrence in the Mamirauá Sustainable Development Reserve (MSDR) using remotely sensed data. By taking into account the M. niger nesting habitat, the following predictor variables were considered: conditional distance to open water, distance to bare soil, expanded contributing area from drainage, flood duration, and vegetation type. The threshold-independent prediction performance and binary prediction based on the threshold value of 0.9 were evaluated by the area under the curve (AUC) and performing a binomial test, respectively. The obtained results (AUC = 0.967 (Formula presented.) 0.006 and a highly significant binomial test (Formula presented.)) indicated excellent performance of the proposed model in predicting the M. niger nesting occurrence in the MSDR. The variables related to hydrological regimes (conditional distance to open water, expanded contributing area from drainage, and flood duration) most strongly affected the model performance. MaxEnt can be used for developing community-based sustainable management programs to provide socio-economic benefits to local communities and promote species conservation in a much larger area within the Amazon basin. © 2019, © 2019 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. 2020-05-15T00:09:41Z 2020-05-15T00:09:41Z 2019 Artigo https://repositorio.inpa.gov.br/handle/1/15582 10.1080/23766808.2019.1646066 en Volume 5, Número 1, Pags. 47-59 Attribution-NonCommercial-NoDerivs 3.0 Brazil http://creativecommons.org/licenses/by-nc-nd/3.0/br/ application/pdf Neotropical Biodiversity
institution Instituto Nacional de Pesquisas da Amazônia - Repositório Institucional
collection INPA-RI
language English
description After many years of illegal hunting and commercialization, the populations of the Black caiman (Melanosuchus niger) have been recovering during the last four decades due to the enforcement of a legislation that inhibits their international commercialization. Protecting nesting sites, in which vulnerable life forms (as reproductive females, eggs, and neonates) spend considerable time, is one of the most appropriate conservation actions aimed at preserving caiman populations. Thus, identifying priority areas for this activity should be the primary concern of conservationists. As caiman nesting sites are often found across the areas with difficult access, collecting nest information requires extensive and costly fieldwork efforts. In this context, species distribution modeling can be a valuable tool for predicting the locations of caiman nests in the Amazon basin. In this work, the maximum entropy method (MaxEnt) was applied to model the M. niger nest occurrence in the Mamirauá Sustainable Development Reserve (MSDR) using remotely sensed data. By taking into account the M. niger nesting habitat, the following predictor variables were considered: conditional distance to open water, distance to bare soil, expanded contributing area from drainage, flood duration, and vegetation type. The threshold-independent prediction performance and binary prediction based on the threshold value of 0.9 were evaluated by the area under the curve (AUC) and performing a binomial test, respectively. The obtained results (AUC = 0.967 (Formula presented.) 0.006 and a highly significant binomial test (Formula presented.)) indicated excellent performance of the proposed model in predicting the M. niger nesting occurrence in the MSDR. The variables related to hydrological regimes (conditional distance to open water, expanded contributing area from drainage, and flood duration) most strongly affected the model performance. MaxEnt can be used for developing community-based sustainable management programs to provide socio-economic benefits to local communities and promote species conservation in a much larger area within the Amazon basin. © 2019, © 2019 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.
format Artigo
author Banon, Gabriela Paola Ribeiro
spellingShingle Banon, Gabriela Paola Ribeiro
Predicting suitable nesting sites for the Black caiman (Melanosuchus niger Spix 1825) in the Central Amazon basin
author2 Banon, Gerald
Villamarín, Francisco
Arraut, E. M.
Moulatlet, Gabriel M.
Rennó, Camilo Daleles
Banon, Lise Christine
Marioni, Boris
Novo, Evlyn M.L.M.
author2Str Banon, Gerald
Villamarín, Francisco
Arraut, E. M.
Moulatlet, Gabriel M.
Rennó, Camilo Daleles
Banon, Lise Christine
Marioni, Boris
Novo, Evlyn M.L.M.
title Predicting suitable nesting sites for the Black caiman (Melanosuchus niger Spix 1825) in the Central Amazon basin
title_short Predicting suitable nesting sites for the Black caiman (Melanosuchus niger Spix 1825) in the Central Amazon basin
title_full Predicting suitable nesting sites for the Black caiman (Melanosuchus niger Spix 1825) in the Central Amazon basin
title_fullStr Predicting suitable nesting sites for the Black caiman (Melanosuchus niger Spix 1825) in the Central Amazon basin
title_full_unstemmed Predicting suitable nesting sites for the Black caiman (Melanosuchus niger Spix 1825) in the Central Amazon basin
title_sort predicting suitable nesting sites for the black caiman (melanosuchus niger spix 1825) in the central amazon basin
publisher Neotropical Biodiversity
publishDate 2020
url https://repositorio.inpa.gov.br/handle/1/15582
_version_ 1787143545617907712
score 11.755432

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