ATLANTIC-CAMTRAPS: a dataset of medium and large terrestrial mammal communities in the Atlantic Forest of South America
Main Author: | |
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Publication Date: | 2017 |
Other Authors: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
Language: | eng |
Source: | Repositório Institucional do INPA |
DOI: | 10.1002/ecy.1998 |
Download full: | https://repositorio.inpa.gov.br/handle/1/15336 |
Summary: | Our understanding of mammal ecology has always been hindered by the difficulties of observing species in closed tropical forests. Camera trapping has become a major advance for monitoring terrestrial mammals in biodiversity rich ecosystems. Here we compiled one of the largest datasets of inventories of terrestrial mammal communities for the Neotropical region based on camera trapping studies. The dataset comprises 170 surveys of medium to large terrestrial mammals using camera traps conducted in 144 areas by 74 studies, covering six vegetation types of tropical and subtropical Atlantic Forest of South America (Brazil and Argentina), and present data on species composition and richness. The complete dataset comprises 53,438 independent records of 83 species of mammals, includes 10 species of marsupials, 15 rodents, 20 carnivores, eight ungulates and six armadillos. Species richness averaged 13 species (±6.07 SD) per site. Only six species occurred in more than 50% of the sites: the domestic dog Canis familiaris, crab-eating fox Cerdocyon thous, tayra Eira barbara, south American coati Nasua nasua, crab-eating raccoon Procyon cancrivorus and the nine-banded armadillo Dasypus novemcinctus. The information contained in this dataset can be used to understand macroecological patterns of biodiversity, community, and population structure, but also to evaluate the ecological consequences of fragmentation, defaunation, and trophic interactions. © 2017 by the Ecological Society of America |
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Lima, FernandoBeca, GabrielleMuylaert, Renata L.Jenkins, Clinton N.Perilli, Miriam Lúcia LagesPaschoal, Ana Maria de OliveiraMassara, R. L.Paglia, AdrianoChiarello, Adriano GarciaGraipel, Maurício EduardoCherem, Jorge JoséRegolin, André LuisOliveira-Santos, Luiz Gustavo RodriguesBrocardo, Carlos RodrigoPaviolo, Agustín JavierDi Bitetti, Mario SantiagoScoss, Leandro MoraesRocha, Fabiana LopesFusco-Costa, RobertoRosa, Clarissa Alves daSilva, Marina Xavier daHufnagell, LudmilaSantos, Paloma MarquesDuarte, Gabriela TeixeiraGuimarães, Luiza NevesBailey, Larissa LynnRodrigues, Flávio Henrique GuimarãesCunha, Heitor MoraisFantacini, Felipe MoreliBatista, Graziele OliveiraBogoni, Juliano AndréTortato, Marcos AdrianoLuiz, Micheli RibeiroPeroni, NivaldoCastilho, Pedro Volkmer deMaccarini, Thiago BernardesFilho, Vilmar PicinattoAngelo, Carlos deCruz, PaulaQuiroga, Verónica AndreaIezzi, María EugeniaVarela, Diego M.Cavalcanti, Sandra M.C.Martensen, Alexandre CamargoMaggiorini, Erica VanessaKeesen, Fabíola F.Nunes, André ValleLessa, GiseleCordeiro-Estrela, PedroBeltrão, Mayara GuimarãesAlbuquerque, Anna Carolina Figueiredo deIngberman, BiancaCassano, C. R.Junior, Laury CullenRibeiro, Milton CezarGaletti, Mauro2020-05-07T23:19:18Z2020-05-07T23:19:18Z2017https://repositorio.inpa.gov.br/handle/1/1533610.1002/ecy.1998Our understanding of mammal ecology has always been hindered by the difficulties of observing species in closed tropical forests. Camera trapping has become a major advance for monitoring terrestrial mammals in biodiversity rich ecosystems. Here we compiled one of the largest datasets of inventories of terrestrial mammal communities for the Neotropical region based on camera trapping studies. The dataset comprises 170 surveys of medium to large terrestrial mammals using camera traps conducted in 144 areas by 74 studies, covering six vegetation types of tropical and subtropical Atlantic Forest of South America (Brazil and Argentina), and present data on species composition and richness. The complete dataset comprises 53,438 independent records of 83 species of mammals, includes 10 species of marsupials, 15 rodents, 20 carnivores, eight ungulates and six armadillos. Species richness averaged 13 species (±6.07 SD) per site. Only six species occurred in more than 50% of the sites: the domestic dog Canis familiaris, crab-eating fox Cerdocyon thous, tayra Eira barbara, south American coati Nasua nasua, crab-eating raccoon Procyon cancrivorus and the nine-banded armadillo Dasypus novemcinctus. The information contained in this dataset can be used to understand macroecological patterns of biodiversity, community, and population structure, but also to evaluate the ecological consequences of fragmentation, defaunation, and trophic interactions. © 2017 by the Ecological Society of AmericaVolume 98, Número 11, Pags. 2979Attribution-NonCommercial-NoDerivs 3.0 Brazilhttp://creativecommons.org/licenses/by-nc-nd/3.0/br/info:eu-repo/semantics/openAccessBiodiversityCommunity CompositionCommunity DynamicsData SetElectronic EquipmentForest EcosystemFragmentationInvasive SpeciesInventoryMammalMonitoringNeotropical RegionPopulation StructureSpecies RichnessSubtropical RegionTerrestrial EcosystemTrap (equipment)TrappingTropical EnvironmentArgentinaAtlantic ForestBrasilSouth AmericaCanis FamiliarisDasypodidaeDasypus NovemcinctusDusicyon ThousEira BarbaraMammaliaMetatheriaNasuaProcyon CancrivorusRodentiaUngulataAnimalsArgentinaBiodiversityBrasilDogEcosystemForestMammalPhysiologyAnimalArgentinaBiodiversityBrasilDogsEcosystemForestsMammalsATLANTIC-CAMTRAPS: a dataset of medium and large terrestrial mammal communities in the Atlantic Forest of South AmericaData Paperinfo:eu-repo/semantics/publishedVersionEcologyengreponame:Repositório Institucional do INPAinstname:Instituto Nacional de Pesquisas da Amazônia (INPA)instacron:INPAORIGINALdata-paper-inpa.pdfdata-paper-inpa.pdfapplication/pdf27324https://repositorio.inpa.gov.br/bitstream/1/15336/1/data-paper-inpa.pdf9d825de44d5ac39d56f25e6ef8144ad2MD51ecy1998-sup-0002-metadatas1.pdfecy1998-sup-0002-metadatas1.pdfapplication/pdf1599252https://repositorio.inpa.gov.br/bitstream/1/15336/2/ecy1998-sup-0002-metadatas1.pdf4c78c10cacf66b18a4662bfe371a0935MD52ecy1998-sup-0001-datas1.zipecy1998-sup-0001-datas1.zipapplication/octet-stream100337https://repositorio.inpa.gov.br/bitstream/1/15336/3/ecy1998-sup-0001-datas1.zip64a8b3c71b9dc1fc4f05ffbb950be730MD531/153362020-05-07 19:39:37.991oai:repositorio:1/15336Repositório de PublicaçõesPUBhttps://repositorio.inpa.gov.br/oai/requestopendoar:2020-05-07T23:39:37Repositório Institucional do INPA - Instituto Nacional de Pesquisas da Amazônia (INPA)false |
dc.title.en.fl_str_mv |
ATLANTIC-CAMTRAPS: a dataset of medium and large terrestrial mammal communities in the Atlantic Forest of South America |
title |
ATLANTIC-CAMTRAPS: a dataset of medium and large terrestrial mammal communities in the Atlantic Forest of South America |
spellingShingle |
ATLANTIC-CAMTRAPS: a dataset of medium and large terrestrial mammal communities in the Atlantic Forest of South America Lima, Fernando Biodiversity Community Composition Community Dynamics Data Set Electronic Equipment Forest Ecosystem Fragmentation Invasive Species Inventory Mammal Monitoring Neotropical Region Population Structure Species Richness Subtropical Region Terrestrial Ecosystem Trap (equipment) Trapping Tropical Environment Argentina Atlantic Forest Brasil South America Canis Familiaris Dasypodidae Dasypus Novemcinctus Dusicyon Thous Eira Barbara Mammalia Metatheria Nasua Procyon Cancrivorus Rodentia Ungulata Animals Argentina Biodiversity Brasil Dog Ecosystem Forest Mammal Physiology Animal Argentina Biodiversity Brasil Dogs Ecosystem Forests Mammals |
title_short |
ATLANTIC-CAMTRAPS: a dataset of medium and large terrestrial mammal communities in the Atlantic Forest of South America |
title_full |
ATLANTIC-CAMTRAPS: a dataset of medium and large terrestrial mammal communities in the Atlantic Forest of South America |
title_fullStr |
ATLANTIC-CAMTRAPS: a dataset of medium and large terrestrial mammal communities in the Atlantic Forest of South America |
title_full_unstemmed |
ATLANTIC-CAMTRAPS: a dataset of medium and large terrestrial mammal communities in the Atlantic Forest of South America |
title_sort |
ATLANTIC-CAMTRAPS: a dataset of medium and large terrestrial mammal communities in the Atlantic Forest of South America |
author |
Lima, Fernando |
author_facet |
Lima, Fernando Beca, Gabrielle Muylaert, Renata L. Jenkins, Clinton N. Perilli, Miriam Lúcia Lages Paschoal, Ana Maria de Oliveira Massara, R. L. Paglia, Adriano Chiarello, Adriano Garcia Graipel, Maurício Eduardo Cherem, Jorge José Regolin, André Luis Oliveira-Santos, Luiz Gustavo Rodrigues Brocardo, Carlos Rodrigo Paviolo, Agustín Javier Di Bitetti, Mario Santiago Scoss, Leandro Moraes Rocha, Fabiana Lopes Fusco-Costa, Roberto Rosa, Clarissa Alves da Silva, Marina Xavier da Hufnagell, Ludmila Santos, Paloma Marques Duarte, Gabriela Teixeira Guimarães, Luiza Neves Bailey, Larissa Lynn Rodrigues, Flávio Henrique Guimarães Cunha, Heitor Morais Fantacini, Felipe Moreli Batista, Graziele Oliveira Bogoni, Juliano André Tortato, Marcos Adriano Luiz, Micheli Ribeiro Peroni, Nivaldo Castilho, Pedro Volkmer de Maccarini, Thiago Bernardes Filho, Vilmar Picinatto Angelo, Carlos de Cruz, Paula Quiroga, Verónica Andrea Iezzi, María Eugenia Varela, Diego M. Cavalcanti, Sandra M.C. Martensen, Alexandre Camargo Maggiorini, Erica Vanessa Keesen, Fabíola F. Nunes, André Valle Lessa, Gisele Cordeiro-Estrela, Pedro Beltrão, Mayara Guimarães Albuquerque, Anna Carolina Figueiredo de Ingberman, Bianca Cassano, C. R. Junior, Laury Cullen Ribeiro, Milton Cezar Galetti, Mauro |
author_role |
author |
author2 |
Beca, Gabrielle Muylaert, Renata L. Jenkins, Clinton N. Perilli, Miriam Lúcia Lages Paschoal, Ana Maria de Oliveira Massara, R. L. Paglia, Adriano Chiarello, Adriano Garcia Graipel, Maurício Eduardo Cherem, Jorge José Regolin, André Luis Oliveira-Santos, Luiz Gustavo Rodrigues Brocardo, Carlos Rodrigo Paviolo, Agustín Javier Di Bitetti, Mario Santiago Scoss, Leandro Moraes Rocha, Fabiana Lopes Fusco-Costa, Roberto Rosa, Clarissa Alves da Silva, Marina Xavier da Hufnagell, Ludmila Santos, Paloma Marques Duarte, Gabriela Teixeira Guimarães, Luiza Neves Bailey, Larissa Lynn Rodrigues, Flávio Henrique Guimarães Cunha, Heitor Morais Fantacini, Felipe Moreli Batista, Graziele Oliveira Bogoni, Juliano André Tortato, Marcos Adriano Luiz, Micheli Ribeiro Peroni, Nivaldo Castilho, Pedro Volkmer de Maccarini, Thiago Bernardes Filho, Vilmar Picinatto Angelo, Carlos de Cruz, Paula Quiroga, Verónica Andrea Iezzi, María Eugenia Varela, Diego M. Cavalcanti, Sandra M.C. Martensen, Alexandre Camargo Maggiorini, Erica Vanessa Keesen, Fabíola F. Nunes, André Valle Lessa, Gisele Cordeiro-Estrela, Pedro Beltrão, Mayara Guimarães Albuquerque, Anna Carolina Figueiredo de Ingberman, Bianca Cassano, C. R. Junior, Laury Cullen Ribeiro, Milton Cezar Galetti, Mauro |
author2_role |
author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author |
dc.contributor.author.fl_str_mv |
Lima, Fernando Beca, Gabrielle Muylaert, Renata L. Jenkins, Clinton N. Perilli, Miriam Lúcia Lages Paschoal, Ana Maria de Oliveira Massara, R. L. Paglia, Adriano Chiarello, Adriano Garcia Graipel, Maurício Eduardo Cherem, Jorge José Regolin, André Luis Oliveira-Santos, Luiz Gustavo Rodrigues Brocardo, Carlos Rodrigo Paviolo, Agustín Javier Di Bitetti, Mario Santiago Scoss, Leandro Moraes Rocha, Fabiana Lopes Fusco-Costa, Roberto Rosa, Clarissa Alves da Silva, Marina Xavier da Hufnagell, Ludmila Santos, Paloma Marques Duarte, Gabriela Teixeira Guimarães, Luiza Neves Bailey, Larissa Lynn Rodrigues, Flávio Henrique Guimarães Cunha, Heitor Morais Fantacini, Felipe Moreli Batista, Graziele Oliveira Bogoni, Juliano André Tortato, Marcos Adriano Luiz, Micheli Ribeiro Peroni, Nivaldo Castilho, Pedro Volkmer de Maccarini, Thiago Bernardes Filho, Vilmar Picinatto Angelo, Carlos de Cruz, Paula Quiroga, Verónica Andrea Iezzi, María Eugenia Varela, Diego M. Cavalcanti, Sandra M.C. Martensen, Alexandre Camargo Maggiorini, Erica Vanessa Keesen, Fabíola F. Nunes, André Valle Lessa, Gisele Cordeiro-Estrela, Pedro Beltrão, Mayara Guimarães Albuquerque, Anna Carolina Figueiredo de Ingberman, Bianca Cassano, C. R. Junior, Laury Cullen Ribeiro, Milton Cezar Galetti, Mauro |
dc.subject.eng.fl_str_mv |
Biodiversity Community Composition Community Dynamics Data Set Electronic Equipment Forest Ecosystem Fragmentation Invasive Species Inventory Mammal Monitoring Neotropical Region Population Structure Species Richness Subtropical Region Terrestrial Ecosystem Trap (equipment) Trapping Tropical Environment Argentina Atlantic Forest Brasil South America Canis Familiaris Dasypodidae Dasypus Novemcinctus Dusicyon Thous Eira Barbara Mammalia Metatheria Nasua Procyon Cancrivorus Rodentia Ungulata Animals Argentina Biodiversity Brasil Dog Ecosystem Forest Mammal Physiology Animal Argentina Biodiversity Brasil Dogs Ecosystem Forests Mammals |
topic |
Biodiversity Community Composition Community Dynamics Data Set Electronic Equipment Forest Ecosystem Fragmentation Invasive Species Inventory Mammal Monitoring Neotropical Region Population Structure Species Richness Subtropical Region Terrestrial Ecosystem Trap (equipment) Trapping Tropical Environment Argentina Atlantic Forest Brasil South America Canis Familiaris Dasypodidae Dasypus Novemcinctus Dusicyon Thous Eira Barbara Mammalia Metatheria Nasua Procyon Cancrivorus Rodentia Ungulata Animals Argentina Biodiversity Brasil Dog Ecosystem Forest Mammal Physiology Animal Argentina Biodiversity Brasil Dogs Ecosystem Forests Mammals |
description |
Our understanding of mammal ecology has always been hindered by the difficulties of observing species in closed tropical forests. Camera trapping has become a major advance for monitoring terrestrial mammals in biodiversity rich ecosystems. Here we compiled one of the largest datasets of inventories of terrestrial mammal communities for the Neotropical region based on camera trapping studies. The dataset comprises 170 surveys of medium to large terrestrial mammals using camera traps conducted in 144 areas by 74 studies, covering six vegetation types of tropical and subtropical Atlantic Forest of South America (Brazil and Argentina), and present data on species composition and richness. The complete dataset comprises 53,438 independent records of 83 species of mammals, includes 10 species of marsupials, 15 rodents, 20 carnivores, eight ungulates and six armadillos. Species richness averaged 13 species (±6.07 SD) per site. Only six species occurred in more than 50% of the sites: the domestic dog Canis familiaris, crab-eating fox Cerdocyon thous, tayra Eira barbara, south American coati Nasua nasua, crab-eating raccoon Procyon cancrivorus and the nine-banded armadillo Dasypus novemcinctus. The information contained in this dataset can be used to understand macroecological patterns of biodiversity, community, and population structure, but also to evaluate the ecological consequences of fragmentation, defaunation, and trophic interactions. © 2017 by the Ecological Society of America |
publishDate |
2017 |
dc.date.issued.fl_str_mv |
2017 |
dc.date.accessioned.fl_str_mv |
2020-05-07T23:19:18Z |
dc.date.available.fl_str_mv |
2020-05-07T23:19:18Z |
dc.type.driver.fl_str_mv |
Data Paper |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://repositorio.inpa.gov.br/handle/1/15336 |
dc.identifier.doi.none.fl_str_mv |
10.1002/ecy.1998 |
url |
https://repositorio.inpa.gov.br/handle/1/15336 |
identifier_str_mv |
10.1002/ecy.1998 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.ispartof.pt_BR.fl_str_mv |
Volume 98, Número 11, Pags. 2979 |
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 |
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Attribution-NonCommercial-NoDerivs 3.0 Brazil http://creativecommons.org/licenses/by-nc-nd/3.0/br/ |
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openAccess |
dc.publisher.none.fl_str_mv |
Ecology |
publisher.none.fl_str_mv |
Ecology |
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Repositório Institucional do INPA |
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