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Reptile research shows new avenues and old challenges for extinction risk modelling
In a new PLOS Biology paper, de Oliveira Caetano and colleagues presented an innovative method to estimate extinction risk in reptile species worldwide. The method shows a promising avenue to support Red List assessment, alongside some well-known challenges.
Autor principal: | |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9273071/ https://www.ncbi.nlm.nih.gov/pubmed/35816466 http://dx.doi.org/10.1371/journal.pbio.3001719 |
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author | Di Marco, Moreno |
author_facet | Di Marco, Moreno |
author_sort | Di Marco, Moreno |
collection | PubMed |
description | In a new PLOS Biology paper, de Oliveira Caetano and colleagues presented an innovative method to estimate extinction risk in reptile species worldwide. The method shows a promising avenue to support Red List assessment, alongside some well-known challenges. |
format | Online Article Text |
id | pubmed-9273071 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-92730712022-07-12 Reptile research shows new avenues and old challenges for extinction risk modelling Di Marco, Moreno PLoS Biol Primer In a new PLOS Biology paper, de Oliveira Caetano and colleagues presented an innovative method to estimate extinction risk in reptile species worldwide. The method shows a promising avenue to support Red List assessment, alongside some well-known challenges. Public Library of Science 2022-07-11 /pmc/articles/PMC9273071/ /pubmed/35816466 http://dx.doi.org/10.1371/journal.pbio.3001719 Text en © 2022 Moreno Di Marco https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Primer Di Marco, Moreno Reptile research shows new avenues and old challenges for extinction risk modelling |
title | Reptile research shows new avenues and old challenges for extinction risk modelling |
title_full | Reptile research shows new avenues and old challenges for extinction risk modelling |
title_fullStr | Reptile research shows new avenues and old challenges for extinction risk modelling |
title_full_unstemmed | Reptile research shows new avenues and old challenges for extinction risk modelling |
title_short | Reptile research shows new avenues and old challenges for extinction risk modelling |
title_sort | reptile research shows new avenues and old challenges for extinction risk modelling |
topic | Primer |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9273071/ https://www.ncbi.nlm.nih.gov/pubmed/35816466 http://dx.doi.org/10.1371/journal.pbio.3001719 |
work_keys_str_mv | AT dimarcomoreno reptileresearchshowsnewavenuesandoldchallengesforextinctionriskmodelling |