Loading…

Consistent Extinction Risk Assessment under the U.S. Endangered Species Act

Identifying species at risk of extinction is essential for effective conservation priority‐setting in the face of accelerating biodiversity loss. However, the levels of risk that lead to endangered or threatened listing decisions under the United States Endangered Species Act (ESA) are not well defi...

Full description

Saved in:
Bibliographic Details
Published in:Conservation letters 2017-05, Vol.10 (3), p.328-336
Main Authors: Boyd, Charlotte, DeMaster, Douglas P., Waples, Robin S., Ward, Eric J., Taylor, Barbara L.
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by cdi_FETCH-LOGICAL-c3379-cc5d3675e29fc191b688251c9f64521a3dd8b2d73d495d95d633f89d4bc864d43
cites cdi_FETCH-LOGICAL-c3379-cc5d3675e29fc191b688251c9f64521a3dd8b2d73d495d95d633f89d4bc864d43
container_end_page 336
container_issue 3
container_start_page 328
container_title Conservation letters
container_volume 10
creator Boyd, Charlotte
DeMaster, Douglas P.
Waples, Robin S.
Ward, Eric J.
Taylor, Barbara L.
description Identifying species at risk of extinction is essential for effective conservation priority‐setting in the face of accelerating biodiversity loss. However, the levels of risk that lead to endangered or threatened listing decisions under the United States Endangered Species Act (ESA) are not well defined. We used a Bayesian population modeling approach to estimate levels of risk consistently for 14 marine species previously assessed under the ESA. For each species, we assessed the risks of declining below various abundance thresholds over various time horizons. We found that high risks of declining below 250 mature individuals within five generations matched well with ESA endangered status, while number of populations was useful for distinguishing between threatened and “not warranted” species. The risk assessment framework developed here could enable more consistent, predictable, and transparent ESA status assessments in the future.
doi_str_mv 10.1111/conl.12269
format article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2290548072</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2290548072</sourcerecordid><originalsourceid>FETCH-LOGICAL-c3379-cc5d3675e29fc191b688251c9f64521a3dd8b2d73d495d95d633f89d4bc864d43</originalsourceid><addsrcrecordid>eNp9kE9LAzEQxYMoWGovfoKAN2HXzd9NjmWpViwWrAVvYZtkNbXN1iRF--3duh48-RiYgfnNG3gAXKIiR51udOs3OcKYyxMwQCVjGebk5fTPfA5GMa6LTgQLyegAPFStjy4m6xOcfCXndXKth08uvsNxjDbG7XG198YGmN4sXOaLHE68qf2rDdbAxc5qZyMc63QBzpp6E-3otw_B8nbyXE2z2fzuvhrPMk1IKTOtmSG8ZBbLRiOJVlwIzJCWDacMo5oYI1bYlMRQyUxXnJBGSENXWnBqKBmCq953F9qPvY1Jrdt98N1LhbEsGBVFiTvquqd0aGMMtlG74LZ1OChUqGNe6piX-smrg1EPf7qNPfxDqmr-OOtvvgEg2mv9</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2290548072</pqid></control><display><type>article</type><title>Consistent Extinction Risk Assessment under the U.S. Endangered Species Act</title><source>Wiley Online Library Open Access</source><source>Publicly Available Content Database</source><creator>Boyd, Charlotte ; DeMaster, Douglas P. ; Waples, Robin S. ; Ward, Eric J. ; Taylor, Barbara L.</creator><creatorcontrib>Boyd, Charlotte ; DeMaster, Douglas P. ; Waples, Robin S. ; Ward, Eric J. ; Taylor, Barbara L.</creatorcontrib><description>Identifying species at risk of extinction is essential for effective conservation priority‐setting in the face of accelerating biodiversity loss. However, the levels of risk that lead to endangered or threatened listing decisions under the United States Endangered Species Act (ESA) are not well defined. We used a Bayesian population modeling approach to estimate levels of risk consistently for 14 marine species previously assessed under the ESA. For each species, we assessed the risks of declining below various abundance thresholds over various time horizons. We found that high risks of declining below 250 mature individuals within five generations matched well with ESA endangered status, while number of populations was useful for distinguishing between threatened and “not warranted” species. The risk assessment framework developed here could enable more consistent, predictable, and transparent ESA status assessments in the future.</description><identifier>ISSN: 1755-263X</identifier><identifier>EISSN: 1755-263X</identifier><identifier>DOI: 10.1111/conl.12269</identifier><language>eng</language><publisher>Washington: John Wiley &amp; Sons, Inc</publisher><subject>Bayesian analysis ; Bayesian state‐space population model ; Biodiversity ; Biodiversity loss ; Caretta caretta ; conservation prioritization ; Demography ; Endangered &amp; extinct species ; Endangered species ; Extinction ; Fisheries ; listing criteria ; Population ; population viability analysis ; risk analysis ; Risk assessment ; Science ; Species extinction ; Threatened species ; Wildlife conservation</subject><ispartof>Conservation letters, 2017-05, Vol.10 (3), p.328-336</ispartof><rights>Copyright and Photocopying: © 2016 The Authors. Conservation Letters published by Wiley Periodicals, Inc.</rights><rights>2017. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3379-cc5d3675e29fc191b688251c9f64521a3dd8b2d73d495d95d633f89d4bc864d43</citedby><cites>FETCH-LOGICAL-c3379-cc5d3675e29fc191b688251c9f64521a3dd8b2d73d495d95d633f89d4bc864d43</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2290548072/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2290548072?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>314,780,784,11562,25753,27924,27925,37012,44590,46052,46476,75126</link.rule.ids></links><search><creatorcontrib>Boyd, Charlotte</creatorcontrib><creatorcontrib>DeMaster, Douglas P.</creatorcontrib><creatorcontrib>Waples, Robin S.</creatorcontrib><creatorcontrib>Ward, Eric J.</creatorcontrib><creatorcontrib>Taylor, Barbara L.</creatorcontrib><title>Consistent Extinction Risk Assessment under the U.S. Endangered Species Act</title><title>Conservation letters</title><description>Identifying species at risk of extinction is essential for effective conservation priority‐setting in the face of accelerating biodiversity loss. However, the levels of risk that lead to endangered or threatened listing decisions under the United States Endangered Species Act (ESA) are not well defined. We used a Bayesian population modeling approach to estimate levels of risk consistently for 14 marine species previously assessed under the ESA. For each species, we assessed the risks of declining below various abundance thresholds over various time horizons. We found that high risks of declining below 250 mature individuals within five generations matched well with ESA endangered status, while number of populations was useful for distinguishing between threatened and “not warranted” species. The risk assessment framework developed here could enable more consistent, predictable, and transparent ESA status assessments in the future.</description><subject>Bayesian analysis</subject><subject>Bayesian state‐space population model</subject><subject>Biodiversity</subject><subject>Biodiversity loss</subject><subject>Caretta caretta</subject><subject>conservation prioritization</subject><subject>Demography</subject><subject>Endangered &amp; extinct species</subject><subject>Endangered species</subject><subject>Extinction</subject><subject>Fisheries</subject><subject>listing criteria</subject><subject>Population</subject><subject>population viability analysis</subject><subject>risk analysis</subject><subject>Risk assessment</subject><subject>Science</subject><subject>Species extinction</subject><subject>Threatened species</subject><subject>Wildlife conservation</subject><issn>1755-263X</issn><issn>1755-263X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>24P</sourceid><sourceid>PIMPY</sourceid><recordid>eNp9kE9LAzEQxYMoWGovfoKAN2HXzd9NjmWpViwWrAVvYZtkNbXN1iRF--3duh48-RiYgfnNG3gAXKIiR51udOs3OcKYyxMwQCVjGebk5fTPfA5GMa6LTgQLyegAPFStjy4m6xOcfCXndXKth08uvsNxjDbG7XG198YGmN4sXOaLHE68qf2rDdbAxc5qZyMc63QBzpp6E-3otw_B8nbyXE2z2fzuvhrPMk1IKTOtmSG8ZBbLRiOJVlwIzJCWDacMo5oYI1bYlMRQyUxXnJBGSENXWnBqKBmCq953F9qPvY1Jrdt98N1LhbEsGBVFiTvquqd0aGMMtlG74LZ1OChUqGNe6piX-smrg1EPf7qNPfxDqmr-OOtvvgEg2mv9</recordid><startdate>201705</startdate><enddate>201705</enddate><creator>Boyd, Charlotte</creator><creator>DeMaster, Douglas P.</creator><creator>Waples, Robin S.</creator><creator>Ward, Eric J.</creator><creator>Taylor, Barbara L.</creator><general>John Wiley &amp; Sons, Inc</general><scope>24P</scope><scope>WIN</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7ST</scope><scope>8FE</scope><scope>8FH</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>LK8</scope><scope>M7P</scope><scope>PATMY</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PYCSY</scope><scope>SOI</scope></search><sort><creationdate>201705</creationdate><title>Consistent Extinction Risk Assessment under the U.S. Endangered Species Act</title><author>Boyd, Charlotte ; DeMaster, Douglas P. ; Waples, Robin S. ; Ward, Eric J. ; Taylor, Barbara L.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3379-cc5d3675e29fc191b688251c9f64521a3dd8b2d73d495d95d633f89d4bc864d43</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Bayesian analysis</topic><topic>Bayesian state‐space population model</topic><topic>Biodiversity</topic><topic>Biodiversity loss</topic><topic>Caretta caretta</topic><topic>conservation prioritization</topic><topic>Demography</topic><topic>Endangered &amp; extinct species</topic><topic>Endangered species</topic><topic>Extinction</topic><topic>Fisheries</topic><topic>listing criteria</topic><topic>Population</topic><topic>population viability analysis</topic><topic>risk analysis</topic><topic>Risk assessment</topic><topic>Science</topic><topic>Species extinction</topic><topic>Threatened species</topic><topic>Wildlife conservation</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Boyd, Charlotte</creatorcontrib><creatorcontrib>DeMaster, Douglas P.</creatorcontrib><creatorcontrib>Waples, Robin S.</creatorcontrib><creatorcontrib>Ward, Eric J.</creatorcontrib><creatorcontrib>Taylor, Barbara L.</creatorcontrib><collection>Wiley Online Library Open Access</collection><collection>Wiley Open Access</collection><collection>CrossRef</collection><collection>Environment Abstracts</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>Agricultural &amp; Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>ProQuest Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>ProQuest Biological Science Journals</collection><collection>Environmental Science Database</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Environmental Science Collection</collection><collection>Environment Abstracts</collection><jtitle>Conservation letters</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Boyd, Charlotte</au><au>DeMaster, Douglas P.</au><au>Waples, Robin S.</au><au>Ward, Eric J.</au><au>Taylor, Barbara L.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Consistent Extinction Risk Assessment under the U.S. Endangered Species Act</atitle><jtitle>Conservation letters</jtitle><date>2017-05</date><risdate>2017</risdate><volume>10</volume><issue>3</issue><spage>328</spage><epage>336</epage><pages>328-336</pages><issn>1755-263X</issn><eissn>1755-263X</eissn><abstract>Identifying species at risk of extinction is essential for effective conservation priority‐setting in the face of accelerating biodiversity loss. However, the levels of risk that lead to endangered or threatened listing decisions under the United States Endangered Species Act (ESA) are not well defined. We used a Bayesian population modeling approach to estimate levels of risk consistently for 14 marine species previously assessed under the ESA. For each species, we assessed the risks of declining below various abundance thresholds over various time horizons. We found that high risks of declining below 250 mature individuals within five generations matched well with ESA endangered status, while number of populations was useful for distinguishing between threatened and “not warranted” species. The risk assessment framework developed here could enable more consistent, predictable, and transparent ESA status assessments in the future.</abstract><cop>Washington</cop><pub>John Wiley &amp; Sons, Inc</pub><doi>10.1111/conl.12269</doi><tpages>9</tpages><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 1755-263X
ispartof Conservation letters, 2017-05, Vol.10 (3), p.328-336
issn 1755-263X
1755-263X
language eng
recordid cdi_proquest_journals_2290548072
source Wiley Online Library Open Access; Publicly Available Content Database
subjects Bayesian analysis
Bayesian state‐space population model
Biodiversity
Biodiversity loss
Caretta caretta
conservation prioritization
Demography
Endangered & extinct species
Endangered species
Extinction
Fisheries
listing criteria
Population
population viability analysis
risk analysis
Risk assessment
Science
Species extinction
Threatened species
Wildlife conservation
title Consistent Extinction Risk Assessment under the U.S. Endangered Species Act
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-29T11%3A22%3A57IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Consistent%20Extinction%20Risk%20Assessment%20under%20the%20U.S.%20Endangered%20Species%20Act&rft.jtitle=Conservation%20letters&rft.au=Boyd,%20Charlotte&rft.date=2017-05&rft.volume=10&rft.issue=3&rft.spage=328&rft.epage=336&rft.pages=328-336&rft.issn=1755-263X&rft.eissn=1755-263X&rft_id=info:doi/10.1111/conl.12269&rft_dat=%3Cproquest_cross%3E2290548072%3C/proquest_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c3379-cc5d3675e29fc191b688251c9f64521a3dd8b2d73d495d95d633f89d4bc864d43%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2290548072&rft_id=info:pmid/&rfr_iscdi=true