Literature DB >> 22741815

Reliability of indicators of decline in abundance.

Erin J Porszt1, Randall M Peterman, Nicholas K Dulvy, Andrew B Cooper, James R Irvine.   

Abstract

Although there are many indicators of endangerment (i.e., whether populations or species meet criteria that justify conservation action), their reliability has rarely been tested. Such indicators may fail to identify that a population or species meets criteria for conservation action (false negative) or may incorrectly show that such criteria have been met (false positive). To quantify the rate of both types of error for 20 commonly used indicators of declining abundance (threat indicators), we used receiver operating characteristic curves derived from historical (1938-2007) data for 18 sockeye salmon (Oncorhynchus nerka) populations in the Fraser River, British Columbia, Canada. We retrospectively determined each population's yearly status (reflected by change in abundance over time) on the basis of each indicator. We then compared that population's status in a given year with the status in subsequent years (determined by the magnitude of decline in abundance across those years). For each sockeye population, we calculated how often each indicator of past status matched subsequent status. No single threat indicator provided error-free estimates of status, but indicators that reflected the extent (i.e., magnitude) of past decline in abundance (through comparison of current abundance with some historical baseline abundance) tended to better reflect status in subsequent years than the rate of decline over the previous 3 generations (a widely used indicator). We recommend that when possible, the reliability of various threat indicators be evaluated with empirical analyses before such indicators are used to determine the need for conservation action. These indicators should include estimates from the entire data set to take into account a historical baseline. ©2012 Society for Conservation Biology.

Entities:  

Mesh:

Year:  2012        PMID: 22741815     DOI: 10.1111/j.1523-1739.2012.01882.x

Source DB:  PubMed          Journal:  Conserv Biol        ISSN: 0888-8892            Impact factor:   6.560


  4 in total

1.  The false classification of extinction risk in noisy environments.

Authors:  B M Connors; A B Cooper; R M Peterman; N K Dulvy
Journal:  Proc Biol Sci       Date:  2014-07-22       Impact factor: 5.349

2.  Extinction risk and conservation of the world's sharks and rays.

Authors:  Nicholas K Dulvy; Sarah L Fowler; John A Musick; Rachel D Cavanagh; Peter M Kyne; Lucy R Harrison; John K Carlson; Lindsay Nk Davidson; Sonja V Fordham; Malcolm P Francis; Caroline M Pollock; Colin A Simpfendorfer; George H Burgess; Kent E Carpenter; Leonard Jv Compagno; David A Ebert; Claudine Gibson; Michelle R Heupel; Suzanne R Livingstone; Jonnell C Sanciangco; John D Stevens; Sarah Valenti; William T White
Journal:  Elife       Date:  2014-01-21       Impact factor: 8.140

3.  Identifying species threatened with local extinction in tropical reef fisheries using historical reconstruction of species occurrence.

Authors:  Sarah M Buckley; Tim R McClanahan; Eréndira M Quintana Morales; Victor Mwakha; Jatieno Nyanapah; Levy M Otwoma; John M Pandolfi
Journal:  PLoS One       Date:  2019-02-13       Impact factor: 3.240

4.  A new method for identifying rapid decline dynamics in wild vertebrate populations.

Authors:  Martina Di Fonzo; Ben Collen; Georgina M Mace
Journal:  Ecol Evol       Date:  2013-06-14       Impact factor: 2.912

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.