Evidence map›Paper›PMID 36530404›Full record

ArticlePeerJ2022

Habitat loss estimation for assessing terrestrial mammalian species extinction risk: an open data framework.

Mariella Butti, Luciana Pacca, Paloma Santos, André C Alonso, Gerson Buss, Gabriela Ludwig, Leandro Jerusalinsky, Amely B Martins

Abstract read
In one paragraph

Article in PeerJ, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Mariella ButtiCentro Nacional de Pesquisa e Conservação de Mamíferos Carnívoros/CENAP, Instituto Chico Mendes de Conservação da Biodiversidade/ICMBio, Atibaia, São Paulo, Brazil.ORCID 0000-0001-6738-6962
Luciana PaccaCentro Nacional de Pesquisa e Conservação de Primatas Brasileiros/CPB, Instituto Chico Mendes de Conservação da Biodiversidade/ICMBio, Cabedelo, Paraiba, Brazil.
Paloma SantosCentro Nacional de Pesquisa e Conservação de Primatas Brasileiros/CPB, Instituto Chico Mendes de Conservação da Biodiversidade/ICMBio, Cabedelo, Paraiba, Brazil.ORCID 0000-0002-6932-1406
André C AlonsoCentro Nacional de Pesquisa e Conservação de Primatas Brasileiros/CPB, Instituto Chico Mendes de Conservação da Biodiversidade/ICMBio, Cabedelo, Paraiba, Brazil.
Gerson BussCentro Nacional de Pesquisa e Conservação de Primatas Brasileiros/CPB, Instituto Chico Mendes de Conservação da Biodiversidade/ICMBio, Cabedelo, Paraiba, Brazil.
Gabriela LudwigCentro Nacional de Pesquisa e Conservação de Primatas Brasileiros/CPB, Instituto Chico Mendes de Conservação da Biodiversidade/ICMBio, Cabedelo, Paraiba, Brazil.
Leandro JerusalinskyCentro Nacional de Pesquisa e Conservação de Primatas Brasileiros/CPB, Instituto Chico Mendes de Conservação da Biodiversidade/ICMBio, Cabedelo, Paraiba, Brazil.ORCID 0000-0003-0744-1987
Amely B MartinsCentro Nacional de Pesquisa e Conservação de Primatas Brasileiros/CPB, Instituto Chico Mendes de Conservação da Biodiversidade/ICMBio, Cabedelo, Paraiba, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Conservation of Natural ResourcesExtinction, BiologicalAnimalsBrazilEcosystemMammalsDeforestationGoogle Earth EngineHabitat changeIUCN redlistMammaliaThreatened species

Identifiers

PMID36530404
PMCPMC9753759

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.