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Spatial patterns of medium and large size mammal assemblages in várzea and terra firme forests, Central Amazonia, Brazil

dc.contributor.authorAlvarenga, Guilherme Costa
dc.contributor.authorRamalho, Emiliano Esterci
dc.contributor.authorBaccaro, Fabrício Beggiato
dc.contributor.authorda Rocha, Daniel Gomes
dc.contributor.authorFerreira-Ferreira, Jefferson [UNESP]
dc.contributor.authorDineli Bobrowiec, Paulo Estefano
dc.contributor.institutionInstituto Nacional de Pesquisas da Amazônia (INPA)
dc.contributor.institutionInstituto de Desenvolvimento Sustentável Mamirauá (IDSM)
dc.contributor.institutionUniversidade Federal do Amazonas (UFAM)
dc.contributor.institutionUniversity of California
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2018-12-11T16:53:35Z
dc.date.available2018-12-11T16:53:35Z
dc.date.issued2018-05-01
dc.description.abstractVárzea forests account for 17% of the Amazon basin and endure an annual inundation that can reach 14 m deep during 6–8 months. This flood pulse in combination with topography directly influences the várzea vegetation cover. Assemblages of several taxa differ significantly between unflooded terra firme and flooded várzea forests, but little is known about the distribution of medium and large sized terrestrial mammals in várzea habitats. Therefore, our goal was to understand how those habitats influence mammalian species distribution during the dry season. Specifically, we: (1) compared the species composition between a terra firme (Amanã Sustainable Development Reserve) and a várzea forest (Mamirauá Sustainable Development Reserve); and (2) tested the influence of the várzea habitat classes on the number of records, occurrence and species composition of mammalian assemblages. The sampling design in each reserve consisted of 50 baited camera trap stations, with an overall sampling effort of 5015 camera trap days. We used Non-Metric Multidimension Scaling (NMDS) to compare species composition between terra firme and várzea forests, and used Generalized Linear Models (GLM) to assess how habitat types and a habitat diversity index affect mammal distributions. We recorded 21 medium and large sized mammalian species, including 20 species in terra firme and only six in várzea (3443 records). Flood pulse and isolation in várzea forest drove the dissimilarity between these two forest types. In várzea forest, medium size mammals, in general, avoided habitats associated with long flooding periods, while jaguars (Panthera onca) appeared to prefer aquatic/terrestrial transition zones. Habitats that remain dry for longer periods showed more mammalian occurrence, suggesting that dispersion via soil is important even for semi-arboreal species. This is the first study to evaluate differential use of várzea habitats by terrestrial mammalian assemblages.en
dc.description.affiliationPrograma de Pós-graduação em Ecologia Instituto Nacional de Pesquisas da Amazônia (INPA)
dc.description.affiliationInstituto de Desenvolvimento Sustentável Mamirauá (IDSM)
dc.description.affiliationDepartamento de Biologia Universidade Federal do Amazonas (UFAM)
dc.description.affiliationGraduate Group in Ecology Department of Wildlife Fish and Conservation Biology University of California
dc.description.affiliationEcosystem Dynamics Observatory Instituto de Geociências e Ciências Exatas Universidade Estadual Paulista (Unesp)
dc.description.affiliationUnespEcosystem Dynamics Observatory Instituto de Geociências e Ciências Exatas Universidade Estadual Paulista (Unesp)
dc.identifierhttp://dx.doi.org/10.1371/journal.pone.0198120
dc.identifier.citationPLoS ONE, v. 13, n. 5, 2018.
dc.identifier.doi10.1371/journal.pone.0198120
dc.identifier.file2-s2.0-85047841228.pdf
dc.identifier.issn1932-6203
dc.identifier.scopus2-s2.0-85047841228
dc.identifier.urihttp://hdl.handle.net/11449/171068
dc.language.isoeng
dc.relation.ispartofPLoS ONE
dc.relation.ispartofsjr1,164
dc.rights.accessRightsAcesso abertopt
dc.sourceScopus
dc.titleSpatial patterns of medium and large size mammal assemblages in várzea and terra firme forests, Central Amazonia, Brazilen
dc.typeArtigopt
dspace.entity.typePublication
unesp.campusUniversidade Estadual Paulista (UNESP), Instituto de Geociências e Ciências Exatas, Rio Claropt

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