Literature DB >> 18638300

Commentary on Holmes et al. (2007): resolving the debate on when extinction risk is predictable.

Stephen P Ellner1, Elizabeth E Holmes.   

Abstract

We reconcile the findings of Holmes et al. (Ecology Letters, 10, 2007, 1182) that 95% confidence intervals for quasi-extinction risk were narrow for many vertebrates of conservation concern, with previous theory predicting wide confidence intervals. We extend previous theory, concerning the precision of quasi-extinction estimates as a function of population dynamic parameters, prediction intervals and quasi-extinction thresholds, and provide an approximation that specifies the prediction interval and threshold combinations where quasi-extinction estimates are precise (vs. imprecise). This allows PVA practitioners to define the prediction interval and threshold regions of safety (low risk with high confidence), danger (high risk with high confidence), and uncertainty.

Mesh:

Year:  2008        PMID: 18638300     DOI: 10.1111/j.1461-0248.2008.01211.x

Source DB:  PubMed          Journal:  Ecol Lett        ISSN: 1461-023X            Impact factor:   9.492


  2 in total

1.  The ecological forecast horizon, and examples of its uses and determinants.

Authors:  Owen L Petchey; Mikael Pontarp; Thomas M Massie; Sonia Kéfi; Arpat Ozgul; Maja Weilenmann; Gian Marco Palamara; Florian Altermatt; Blake Matthews; Jonathan M Levine; Dylan Z Childs; Brian J McGill; Michael E Schaepman; Bernhard Schmid; Piet Spaak; Andrew P Beckerman; Frank Pennekamp; Ian S Pearse
Journal:  Ecol Lett       Date:  2015-05-07       Impact factor: 9.492

2.  Predicting the process of extinction in experimental microcosms and accounting for interspecific interactions in single-species time series.

Authors:  Jake M Ferguson; José M Ponciano
Journal:  Ecol Lett       Date:  2013-12-05       Impact factor: 9.492

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.