Document of bibliographic reference 306422

BibliographicReference record

Type
Bibliographic resource
Type of document
Journal article
BibLvlCode
AS
Title
Identifying species threatened with local extinction in tropical reef fisheries using historical reconstruction of species occurrence
Abstract
Identifying the species that are at risk of local extinction in highly diverse ecosystems is a big challenge for conservation science. Assessments of species status are costly and difficult to implement in developing countries with diverse ecosystems due to a lack of species-specific surveys, species-specific data, and other resources. Numerous techniques are devised to determine the threat status of species based on the availability of data and budgetary limits. On this basis, we developed a framework that compared occurrence data of historically exploited reef species in Kenya from existing disparate data sources. Occurrence data from archaeological remains (750-1500CE) was compared with occurrence data of these species catch assessments, and underwater surveys (1991-2014CE). This comparison indicated that only 67 species were exploited over a 750 year period, 750-1500CE, whereas 185 species were landed between 1995 and 2014CE. The first step of our framework identified 23 reef species as threatened with local extinction. The second step of the framework further evaluated the possibility of local extinction with Bayesian extinction analyses using occurrence data from naturalists’ species list with the existing occurrence data sources. The Bayesian extinction analysis reduced the number of reef species threatened with local extinction from 23 to 15. We compared our findings with three methods used for assessing extinction risk. Commonly used extinction risk methods varied in their ability to identify reef species that we identified as threatened with local extinction by our comparative and Bayesian method. For example, 12 of the 15 threatened species that we identified using our framework were listed as either least concern, unevaluated, or data deficient in the International Union for the Conservation of Nature red list. Piscivores and macro-invertivores were the only functional groups found to be locally extinct. Comparing occurrence data from disparate sources revealed a large number of historically exploited reef species that are possibly locally extinct. Our framework addressed biases such as uncertainty in priors, sightings and survey effort, when estimating the probability of local extinction. Our inexpensive method showed the value and potential for disparate data to fill knowledge gaps that exist in species extinction assessments.
WebOfScience code
https://www.webofscience.com/wos/woscc/full-record/WOS:000458761300034
Bibliographic citation
Buckley, S.M.; McClanahan, T. R.; Quintana Morales, E.M.; Mwakha, V.A.; Nyanapah, J.; Otwoma, L.M.; Pandolfi, J.M. (2019). Identifying species threatened with local extinction in tropical reef fisheries using historical reconstruction of species occurrence. PLoS One 14(2): e0211224. https://dx.doi.org/10.1371/journal.pone.0211224
Is peer reviewed
true
Access rights
open access
Is accessible for free
true

Authors

author
Name
Sarah Buckley
author
Name
Tim McClanahan
Affiliation
Wildlife Conservation Society
author
Name
Eréndira Quintana Morales
author
Name
Victor Alati Mwakha
Affiliation
Kenya Marine and Fisheries Research Institute Mombasa Centre
author
Name
Jatieno Nyanapah
author
Name
Levy Otwoma
Identifier
https://orcid.org/0000-0002-9811-0560
Affiliation
Kenya Marine and Fisheries Research Institute Mombasa Centre
author
Name
John Pandolfi

Links

referenced creativework
type
DOI
accessURL
https://dx.doi.org/10.1371/journal.pone.0211224

Document metadata

date created
2019-02-25
date modified
2019-02-25