Dissertação

Estimativas de detecção de primatas e validação de modelos preditivos em duas unidades de conservação na Amazônia, Roraima, Brasil

This study compared the detection of common primate species in the Viruá National Park and in Ecological Station of Maracá, the detections with environmental variables and the generalities of predictive models were tested. We collected data from the primate community of 10 km daily by linear transec...

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Autor principal: Cordeiro, Carlos Leandro de Oliveira
Grau: Dissertação
Idioma: por
Publicado em: Instituto Nacional de Pesquisas da Amazônia - INPA 2020
Assuntos:
Primatas
Detecção de primatas
Primatas em unidades de conservação
Acesso em linha: https://repositorio.inpa.gov.br/handle/1/11820
http://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4774942Y5
id oai:repositorio:1-11820
recordtype dspace
spelling oai:repositorio:1-11820 Estimativas de detecção de primatas e validação de modelos preditivos em duas unidades de conservação na Amazônia, Roraima, Brasil Cordeiro, Carlos Leandro de Oliveira Magnusson, William Ernest Primatas Detecção de primatas Primatas em unidades de conservação This study compared the detection of common primate species in the Viruá National Park and in Ecological Station of Maracá, the detections with environmental variables and the generalities of predictive models were tested. We collected data from the primate community of 10 km daily by linear transect method in five campaigns of 60 km in each area. Data on tree and palm density, basal area, canopy opening and canopy height were collected in sub samples of 200 m2 every 100 m along the 60 km, that comprises each of the two trail grids of the RAPELD system used by PPBio. The analysis of the detection probability and validation of predictive models were made for Alouatta seniculus, Saimiri sciureus and the congenerous Cebus apella, Cebus olivaceus, Ateles paniscus and Ateles belzebuth. For all species and congenerous the detection probability was not different in both areas, despite the structural differences. The probability of occurrence was different for congenerous of Ateles between areas. The predictive models were not able to predict the species distribution in the neither area. This indicates that the species have different responses to distinct places and that indirect environment variables are not good predictables for generalities of predictive models. Neste estudo comparamos a detecção de espécies de primatas comuns ao Parque Nacional do Viruá e Estação Ecológica de Maracá, relacionamos os avistamentos com variáveis ambientais e testamos a generaliareas. The predictive models were not able to predict the species distribution in the neither area. This indicates that the species have different responses to distinct places and that indirect environment variables are not good predictables for generalities of predictive models. 2020-02-17T18:03:08Z 2020-02-17T18:03:08Z 2008-05-26 Dissertação https://repositorio.inpa.gov.br/handle/1/11820 http://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4774942Y5 por Attribution-NonCommercial-NoDerivs 3.0 Brazil http://creativecommons.org/licenses/by-nc-nd/3.0/br/ application/pdf Instituto Nacional de Pesquisas da Amazônia - INPA Ecologia
institution Instituto Nacional de Pesquisas da Amazônia - Repositório Institucional
collection INPA-RI
language por
topic Primatas
Detecção de primatas
Primatas em unidades de conservação
spellingShingle Primatas
Detecção de primatas
Primatas em unidades de conservação
Cordeiro, Carlos Leandro de Oliveira
Estimativas de detecção de primatas e validação de modelos preditivos em duas unidades de conservação na Amazônia, Roraima, Brasil
topic_facet Primatas
Detecção de primatas
Primatas em unidades de conservação
description This study compared the detection of common primate species in the Viruá National Park and in Ecological Station of Maracá, the detections with environmental variables and the generalities of predictive models were tested. We collected data from the primate community of 10 km daily by linear transect method in five campaigns of 60 km in each area. Data on tree and palm density, basal area, canopy opening and canopy height were collected in sub samples of 200 m2 every 100 m along the 60 km, that comprises each of the two trail grids of the RAPELD system used by PPBio. The analysis of the detection probability and validation of predictive models were made for Alouatta seniculus, Saimiri sciureus and the congenerous Cebus apella, Cebus olivaceus, Ateles paniscus and Ateles belzebuth. For all species and congenerous the detection probability was not different in both areas, despite the structural differences. The probability of occurrence was different for congenerous of Ateles between areas. The predictive models were not able to predict the species distribution in the neither area. This indicates that the species have different responses to distinct places and that indirect environment variables are not good predictables for generalities of predictive models.
author_additional Magnusson, William Ernest
author_additionalStr Magnusson, William Ernest
format Dissertação
author Cordeiro, Carlos Leandro de Oliveira
title Estimativas de detecção de primatas e validação de modelos preditivos em duas unidades de conservação na Amazônia, Roraima, Brasil
title_short Estimativas de detecção de primatas e validação de modelos preditivos em duas unidades de conservação na Amazônia, Roraima, Brasil
title_full Estimativas de detecção de primatas e validação de modelos preditivos em duas unidades de conservação na Amazônia, Roraima, Brasil
title_fullStr Estimativas de detecção de primatas e validação de modelos preditivos em duas unidades de conservação na Amazônia, Roraima, Brasil
title_full_unstemmed Estimativas de detecção de primatas e validação de modelos preditivos em duas unidades de conservação na Amazônia, Roraima, Brasil
title_sort estimativas de detecção de primatas e validação de modelos preditivos em duas unidades de conservação na amazônia, roraima, brasil
publisher Instituto Nacional de Pesquisas da Amazônia - INPA
publishDate 2020
url https://repositorio.inpa.gov.br/handle/1/11820
http://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4774942Y5
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score 11.755432

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