McCrea, Rachel S., Cheale, Thomas, Campillo-Funollet, Eduard, Roberts, David L. (2024) Inferring species extinction from sighting data. Cambridge Prisms: Extinction, 2 . Article Number e19. ISSN 2755-0958. (doi:10.1017/ext.2024.18) (KAR id:108199)
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Official URL: https://doi.org/10.1017/ext.2024.18 |
Abstract
1. Understanding whether a species still persists, or the timing of its extinction is challenging, however, such knowledge is fundamental for effective species management.
2. For the vast majority of species our understanding of their existence is based solely on sighting data that can range from museum specimens and clear photographs, through vocalisations, to markings and oral accounts.
3. Here we review the methods that have been developed to infer the extinction of species from a sighting record, providing an understanding of their assumptions and applications. We have also produced an RShiny package which can be used to implement some of the methods presented in the article.
4. While there are a number of potential areas that could be further developed, the methods reviewed provide a useful tool for inferring species extinction.
Item Type: | Article |
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DOI/Identification number: | 10.1017/ext.2024.18 |
Subjects: |
G Geography. Anthropology. Recreation > GN Anthropology Q Science > QA Mathematics (inc Computing science) Q Science > QH Natural history > QH75 Conservation (Biology) |
Divisions: |
Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Mathematics, Statistics and Actuarial Science Divisions > Division of Human and Social Sciences > School of Anthropology and Conservation > DICE (Durrell Institute of Conservation and Ecology) |
Funders: |
British Academy (https://ror.org/0302b4677)
Royal Academy of Engineering (https://ror.org/0526snb40) Engineering and Physical Sciences Research Council (https://ror.org/0439y7842) |
Depositing User: | David Roberts |
Date Deposited: | 17 Dec 2024 11:40 UTC |
Last Modified: | 18 Dec 2024 03:41 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/108199 (The current URI for this page, for reference purposes) |
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