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1. Identificação
Tipo de ReferênciaArtigo em Revista Científica (Journal Article)
Sitemtc-m21c.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador8JMKD3MGP3W34R/3TRFR58
Repositóriosid.inpe.br/mtc-m21c/2019/08.15.13.04
Última Atualização2019:08.15.13.04.42 (UTC) administrator
Repositório de Metadadossid.inpe.br/mtc-m21c/2019/08.15.13.04.42
Última Atualização dos Metadados2020:12.13.19.09.57 (UTC) administrator
DOI10.1080/23766808.2019.1646066
ISSN2376-6808
Chave de CitaçãoBanonBVAMRBMN:2019:PrSuNe
TítuloPredicting suitable nesting sites for the Black caiman (Melanosuchus niger Spix 1825) in the Central Amazon basin
Ano2019
MêsAug.
Data de Acesso01 maio 2024
Tipo de Trabalhojournal article
Tipo SecundárioPRE PI
Número de Arquivos1
Tamanho3322 KiB
2. Contextualização
Autor1 Banon, Gabriela Paola Ribeiro
2 Banon, Gerald Jean Francis
3 Villamarín, Francisco
4 Arraut, Eduardo Moraes
5 Moulatlet, Gabriel Massaine
6 Rennó, Camilo Daleles
7 Banon, Lise Christine
8 Marioni, Boris
9 Novo, Evlyn Márcia Leão de Moraes
Identificador de Curriculo1 8JMKD3MGP5W/3G98J55
2 8JMKD3MGP5W/3C9EMTE
3
4
5
6 8JMKD3MGP5W/3C9JGN2
7
8
9 8JMKD3MGP5W/3C9JH39
Grupo1 DIDSR-CGOBT-INPE-MCTIC-GOV-BR
2
3
4 DIDSR-CGOBT-INPE-MCTIC-GOV-BR
5
6 DIDPI-CGOBT-INPE-MCTIC-GOV-BR
7 DIDPI-CGOBT-INPE-MCTIC-GOV-BR
8
9 DIDSR-CGOBT-INPE-MCTIC-GOV-BR
Afiliação1 Instituto Nacional de Pesquisas Espaciais (INPE)
2
3 Instituto Nacional de Pesquisas da Amazônia (INPA)
4 Instituto Nacional de Pesquisas Espaciais (INPE)
5 Instituto Nacional de Pesquisas da Amazônia (INPA)
6 Instituto Nacional de Pesquisas Espaciais (INPE)
7 Instituto Nacional de Pesquisas Espaciais (INPE)
8 Instituto Piagaçu
9 Instituto Nacional de Pesquisas Espaciais (INPE)
Endereço de e-Mail do Autor1 gabrielabanon@gmail.com
2
3
4
5
6 camilo.renno@inpe.br
7 lise@dpi.inpe.br
8
9 evlyn.novo@inpe.br
RevistaNeotropical Biodiversity
Volume5
Número1
Páginas47-59
Histórico (UTC)2019-08-15 13:06:06 :: simone -> administrator :: 2019
2019-09-01 03:02:48 :: administrator -> banon :: 2019
2019-09-01 03:03:41 :: banon -> administrator :: 2019
2019-09-01 23:22:07 :: administrator -> banon :: 2019
2019-09-01 23:22:38 :: banon -> administrator :: 2019
2019-09-11 22:36:04 :: administrator -> banon :: 2019
2019-09-12 13:06:32 :: banon -> administrator :: 2019
2019-09-12 13:10:27 :: administrator -> simone :: 2019
2019-12-06 19:37:23 :: simone -> administrator :: 2019
2020-12-13 19:09:57 :: administrator -> simone :: 2019
3. Conteúdo e estrutura
É a matriz ou uma cópia?é a matriz
Estágio do Conteúdoconcluido
Transferível1
Tipo do ConteúdoExternal Contribution
Tipo de Versãopublisher
Palavras-ChaveAmazon floodplain
Amazonian caiman
ecological conservation
maximum entropy modeling
nesting habitat
ResumoAfter 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 Mamiraua 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 +/- 0.006 and a highly significant binomial test P< 0.01) 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 socioeconomic benefits to local communities and promote species conservation in a much larger area within the Amazon basin.
ÁreaSRE
Arranjo 1urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDPI > Predicting suitable nesting...
Arranjo 2urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSR > Predicting suitable nesting...
Conteúdo da Pasta docacessar
Conteúdo da Pasta sourcenão têm arquivos
Conteúdo da Pasta agreement
agreement.html 15/08/2019 10:04 1.0 KiB 
4. Condições de acesso e uso
URL dos dadoshttp://urlib.net/ibi/8JMKD3MGP3W34R/3TRFR58
URL dos dados zipadoshttp://urlib.net/zip/8JMKD3MGP3W34R/3TRFR58
Idiomaen
Arquivo Alvobanon_predicting.pdf
Grupo de Usuáriosself-uploading-INPE-MCTI-GOV-BR
simone
Visibilidadeshown
Política de Arquivamentoallowpublisher allowfinaldraft
Permissão de Leituraallow from all
Permissão de Atualizaçãonão transferida
5. Fontes relacionadas
VinculaçãoTrabalho não Vinculado à Tese/Dissertação
Unidades Imediatamente Superiores8JMKD3MGPCW/3EQCCU5
8JMKD3MGPCW/3ER446E
Lista de Itens Citandosid.inpe.br/mtc-m21/2014/05.06.15.32 4
sid.inpe.br/mtc-m21/2012/07.13.14.45.43 4
sid.inpe.br/bibdigital/2013/09.09.15.05 3
Acervo Hospedeirourlib.net/www/2017/11.22.19.04
6. Notas
Campos Vaziosalternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel dissemination e-mailaddress format isbn label lineage mark mirrorrepository nextedition notes orcid parameterlist parentrepositories previousedition previouslowerunit progress project readergroup rightsholder schedulinginformation secondarydate secondarykey secondarymark session shorttitle sponsor subject tertiarytype url
7. Controle da descrição
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