Elusive deer occurrences at the Atlantic Forest: 20 years of surveys

Autor: Katia Maria Paschoaletto Micchi de Barros Ferraz, Yuri L. R. Leite, Marina Zanin, Danielle de Oliveira Moreira, Carlos Rodrigo Brocardo, Mariana Bueno Landis, Roberta Montanheiro Paolino, Roberto Fusco-Costa, Francisco Grotta-Netto, Andressa Gatti, Sérgio Lucena Mendes, Joana Zorzal Nodari, José Maurício Barbanti Duarte, Pedro Henrique de Faria Peres, Jorge José Cherem, Paula Modenesi Ferreira, Jade Huguenin, Alexandre Vogliotti, Fernando C. Passos, Márcio Leite de Oliveira, Georgea Silva Lyrio
Přispěvatelé: Universidade Estadual Paulista (UNESP), Federal University of Latin American Integration, Neotropical Institute: Research and Conservation, Universidade Federal Do Oeste Do Pará Santarém, Caipora Cooperativa, Universidade de São Paulo (USP), Manacá Institute, Universidade Federal do Paraná (UFPR), Instituto de Pesquisas Cananéia, Pró-Tapir Institute for Biodiversity, Instituto Nacional da Mata Atlântica, Federal University of Espírito Santo, Federal University of Maranhão
Rok vydání: 2021
Předmět:
Zdroj: Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Scopus
Repositório Institucional da UNESP
Universidade Estadual Paulista (UNESP)
instacron:UNESP
ISSN: 2199-241X
2199-2401
DOI: 10.1007/s13364-021-00604-4
Popis: Made available in DSpace on 2022-05-01T09:31:02Z (GMT). No. of bitstreams: 0 Previous issue date: 2022-01-01 The Atlantic Forest, a hotspot for biodiversity conservation, harbours five forest deer species (Mazama spp.). Due to their elusiveness, there is a severe scarcity of occurrence data to support ecological studies and conservation planning. Thus, we assembled an occurrence dataset of Atlantic Forest deer with reliable taxonomic information aggregating data from scat and camera traps surveys, and opportunistic data collection over the last 20 years. From 2002 to 2019, we surveyed 77 protected areas using scats detection dogs and genetically identifying the faecal samples. We successfully identified 1,147 out of 1,450 collected samples. From 2000 to 2020, we sampled six protected areas in 92 sampling points with 13,328 camera trap days of sampling effort. In addition, we established an active search for potential contributors within the scientific community and environmental consultants since 2010, offering a taxonomic identification service for camera traps images, and biological field-collected samples. With our efforts, we assembled a dataset with 1,456 records of forest deer occurrence at the Atlantic Forest. Of these records, 494 are from M. americana, 350 from M. bororo, 309 from M. gouazoubira, 268 from M. nana and 35 from M. nemorivaga. The faecal sampling was the most predominant method in these records (n = 1043) followed by photographs from camera traps (n = 388); both methods represent 98.2% of our dataset records. Most of the records (79.5%) in the dataset are inside protected areas (n = 1,130). Our dataset is the most comprehensive source of information on Neotropical forest deer occurrence to date. Deer Research and Conservation Center São Paulo State University, SP Federal University of Latin American Integration, PR Neotropical Institute: Research and Conservation, PR Programa de Pós-Graduação Em Biodiversidade Universidade Federal Do Oeste Do Pará Santarém, PA Caipora Cooperativa, SC Wildlife Ecology Management and Conservation Lab (LEMaC) Forest Science Department “Luiz de Queiroz” College of Agriculture University of São Paulo, SP Manacá Institute, SP Programa de Pós-Graduação Em Ecologia E Conservação Universidade Federal Do Paraná Instituto de Pesquisas Cananéia, SP Pró-Tapir Institute for Biodiversity, ES Instituto Nacional da Mata Atlântica, ES Federal University of Espírito Santo, ES Federal University of Maranhão, MA Laboratório de Biodiversidade Conservação e Ecologia de Animais Silvestres (LABCEAS) Programa de Pós-Graduação E Ecologia E Conservação Departamento de Zoologia Universidade Federal Do Paraná (UFPR), SP Deer Research and Conservation Center São Paulo State University, SP
Databáze: OpenAIRE
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