Literature DB >> 11301139

The use and abuse of population viability analysis.

T Coulson, G M. Mace, E Hudson, H Possingham.   

Abstract

A recent study by Brook et al. empirically tested the performance of population viability analysis (PVA) using data from 21 populations across a wide range of species. The study concluded that PVAs are good at predicting the future dynamics of populations. We suggest that this conclusion is a result of a bias in the studies that Brook et al. included in their analyses. We present arguments that PVAs can only be accurate at predicting extinction probabilities if data are extensive and reliable, and if the distribution of vital rates between individuals and years can be assumed stationary in the future, or if any changes can be accurately predicted. In particular, we note that although catastrophes are likely to have precipitated many extinctions, estimates of the probability of catastrophes are unreliable.

Year:  2001        PMID: 11301139     DOI: 10.1016/s0169-5347(01)02137-1

Source DB:  PubMed          Journal:  Trends Ecol Evol        ISSN: 0169-5347            Impact factor:   17.712


  34 in total

1.  Phylogenetic prediction of the maximum per capita rate of population growth.

Authors:  William F Fagan; Yanthe E Pearson; Elise A Larsen; Heather J Lynch; Jessica B Turner; Hilary Staver; Andrew E Noble; Sharon Bewick; Emma E Goldberg
Journal:  Proc Biol Sci       Date:  2013-05-29       Impact factor: 5.349

2.  Fluctuations in food supply drive recruitment variation in a marine fish.

Authors:  Daniel K Okamoto; Russell J Schmitt; Sally J Holbrook; Daniel C Reed
Journal:  Proc Biol Sci       Date:  2012-09-26       Impact factor: 5.349

3.  The role of density-dependent individual growth in the persistence of freshwater salmonid populations.

Authors:  Simone Vincenzi; Alain J Crivelli; Dusan Jesensek; Giulio A De Leo
Journal:  Oecologia       Date:  2008-04-03       Impact factor: 3.225

4.  When stable-stage equilibrium is unlikely: integrating transient population dynamics improves asymptotic methods.

Authors:  Raymond L Tremblay; Josep Raventos; James D Ackerman
Journal:  Ann Bot       Date:  2015-03-26       Impact factor: 4.357

5.  Factors determining the average body size of geographically separated Arctodiaptomus salinus (Daday, 1885) populations.

Authors:  Elena V Anufriieva; Nickolai V Shadrin
Journal:  Dongwuxue Yanjiu       Date:  2014-03

6.  Stochastic predation events and population persistence in bighorn sheep.

Authors:  Marco Festa-Bianchet; Tim Coulson; Jean-Michel Gaillard; John T Hogg; Fanie Pelletier
Journal:  Proc Biol Sci       Date:  2006-06-22       Impact factor: 5.349

7.  How to save the rarest Darwin's finch from extinction: the mangrove finch on Isabela Island.

Authors:  Birgit Fessl; Glyn H Young; Richard P Young; Jorge Rodríguez-Matamoros; Michael Dvorak; Sabine Tebbich; John E Fa
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2010-04-12       Impact factor: 6.237

8.  Long-term trends in wild-capture and population dynamics point to an uncertain future for captive elephants.

Authors:  John Jackson; Dylan Z Childs; Khyne U Mar; Win Htut; Virpi Lummaa
Journal:  Proc Biol Sci       Date:  2019-03-27       Impact factor: 5.349

9.  Precision of Population Viability Analysis.

Authors:  Stephen P Ellner; John Fieberg; Donald Ludwig; Chris Wilcox
Journal:  Conserv Biol       Date:  2002-02       Impact factor: 6.560

10.  Delayed threshold response of a rodent population to human-induced landscape change.

Authors:  Andrey V Tchabovsky; Ludmila E Savinetskaya; Elena N Surkova; Natalia L Ovchinnikova; Ivan A Kshnyasev
Journal:  Oecologia       Date:  2016-09-22       Impact factor: 3.225

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