1
|
Butti M, Pacca L, Santos P, Alonso AC, Buss G, Ludwig G, Jerusalinsky L, Martins AB. Habitat loss estimation for assessing terrestrial mammalian species extinction risk: an open data framework. PeerJ 2022; 10:e14289. [PMID: 36530404 PMCID: PMC9753759 DOI: 10.7717/peerj.14289] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2022] [Accepted: 10/02/2022] [Indexed: 12/14/2022] Open
Abstract
Terrestrial mammals face a severe crisis of habitat loss worldwide. Therefore, assessing information on habitat loss throughout different time periods is crucial for assessing species' conservation statuses based on the IUCN Red List system. To support the national extinction risk assessment in Brazil (2016-2022), we developed a script that uses the MapBiomas Project 6.0 data source of land cover and land use (annual maps at 30 m scale) within the Google Earth Engine (GEE) platform to calculate habitat loss. We defined suitable habitats from the MapBiomas Project land cover classification for 190 mammalian taxa, according to each species range map and ecological characteristics. We considered a period of three generation lengths to assess habitat loss in accordance with the Red List assessment criteria. We used the script to estimate changes in available habitat throughout the analyzed period within the species' known ranges. The results indicated that habitat loss occurred within 94.3% of the analyzed taxa range, with the Carnivora order suffering the greatest habitat loss, followed by the Cingulata order. These analyses may be decisive for applying criteria, defining categories during the assessment of at least 17 species (9%), enriching discussions, and raising new questions for several other species. We considered the outcome of estimating habitat loss for various taxa when applying criterion A, which refers to population reduction, thus supporting more accurate inferences about past population declines.
Collapse
Affiliation(s)
- Mariella Butti
- Centro Nacional de Pesquisa e Conservação de Mamíferos Carnívoros/CENAP, Instituto Chico Mendes de Conservação da Biodiversidade/ICMBio, Atibaia, São Paulo, Brazil
| | - Luciana Pacca
- Centro Nacional de Pesquisa e Conservação de Primatas Brasileiros/CPB, Instituto Chico Mendes de Conservação da Biodiversidade/ICMBio, Cabedelo, Paraiba, Brazil
| | - Paloma Santos
- Centro Nacional de Pesquisa e Conservação de Primatas Brasileiros/CPB, Instituto Chico Mendes de Conservação da Biodiversidade/ICMBio, Cabedelo, Paraiba, Brazil,Instituto Nacional da Mata Atlântica/INMA, Santa Teresa, Espírito Santo, Brazil,Instituto de Pesquisa e Conservação de Tamanduás no Brasil, Ilhéus, Bahia, Brazil
| | - André C. Alonso
- Centro Nacional de Pesquisa e Conservação de Primatas Brasileiros/CPB, Instituto Chico Mendes de Conservação da Biodiversidade/ICMBio, Cabedelo, Paraiba, Brazil
| | - Gerson Buss
- Centro Nacional de Pesquisa e Conservação de Primatas Brasileiros/CPB, Instituto Chico Mendes de Conservação da Biodiversidade/ICMBio, Cabedelo, Paraiba, Brazil
| | - Gabriela Ludwig
- Centro Nacional de Pesquisa e Conservação de Primatas Brasileiros/CPB, Instituto Chico Mendes de Conservação da Biodiversidade/ICMBio, Cabedelo, Paraiba, Brazil
| | - Leandro Jerusalinsky
- Centro Nacional de Pesquisa e Conservação de Primatas Brasileiros/CPB, Instituto Chico Mendes de Conservação da Biodiversidade/ICMBio, Cabedelo, Paraiba, Brazil
| | - Amely B. Martins
- Centro Nacional de Pesquisa e Conservação de Primatas Brasileiros/CPB, Instituto Chico Mendes de Conservação da Biodiversidade/ICMBio, Cabedelo, Paraiba, Brazil
| |
Collapse
|