scholarly journals "Quantitative Conservation Biology: Theory and Practice of Population Viability Analysis" by W. F. Morris and D. F. Doak [book review]

2005 ◽  
Vol 119 (2) ◽  
pp. 314
Author(s):  
Falk Huettmann
2002 ◽  
Vol 24 (2) ◽  
pp. 251
Author(s):  
Reviewed by BW Brook

PREDICTING the persistence of small populations is a key issue in population ecology and conservation biology. A large and increasing number of species are threatened with extinction from factors associated with humans (such as habitat loss, over-exploitation, pollution and introduced species) and stochastic hazards (demographic and environmental fluctuations, natural catastrophes, inbreeding and loss of genetic variation). In order to address such problems in a systematic way, the process of ?population viability analysis? (PVA) has been developed over the past few decades, and has now become one of the major unifying disciplines in conservation biology. PVA is a technique, usually employing complex computer simulations, for predicting the future fate of wildlife populations and comparing competing management options, based on the integrated modelling of demographic, environmental, genetic and habitat-related information. Using PVA allows time, money and onground action to be rationally and efficiently allocated.


1994 ◽  
Vol 1 (4) ◽  
pp. 372
Author(s):  
Hamish McCallum

Population viability analysis (PVA) has become one of the standard tools of conservation biology. Unfortunately, few examples have entered the refereed literature. Most remain in the "grey" world of internal government reports, where the results of "what-if" scenarios become transformed into the firm basis for policy settings. The problem is that rough guesses of population parameters enter the black box of a modeling package, to emerge as attractive and apparently precise graphs of extinction probability as a function of population size. Somewhere in the process, it is often forgotten that the quantitative predictions cannot be better than the quality of the parameters which went into them.


Nature ◽  
2000 ◽  
Vol 404 (6776) ◽  
pp. 385-387 ◽  
Author(s):  
Barry W. Brook ◽  
Julian J. O'Grady ◽  
Andrew P. Chapman ◽  
Mark A. Burgman ◽  
H. Resit Akçakaya ◽  
...  

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