A new method for conservation planning for the persistence of multiple species

Nicholson, Emily, Westphal, Michael I., Frank, Karin, Rochester, Wayne A., Pressey, Robert L., Lindenmayer, David B. and Possingham, Hugh P. (2006) A new method for conservation planning for the persistence of multiple species. Ecology Letters, 9 9: 1049-1060.


Author Nicholson, Emily
Westphal, Michael I.
Frank, Karin
Rochester, Wayne A.
Pressey, Robert L.
Lindenmayer, David B.
Possingham, Hugh P.
Title A new method for conservation planning for the persistence of multiple species
Journal name Ecology Letters  (ERA 2012 Listed)    (ERA 2010 Rank A*)   Check publisher's open access policy
Publication date 2006
Sub-type Article
DOI 10.1111/j.1461-0248.2006.00956.x
Volume number 9
Issue number 9
ISSN 1461-023X
Start page 1049
End page 1060
Total pages 12
Editor Michael Hochberg
Place of publication Oxford
Publisher Blackwell Publishing
Collection year 2006
Language eng
Subject C1
270708 Conservation and Biodiversity
779906 Remnant vegetation and protected conservation areas
Abstract Although the aim of conservation planning is the persistence of biodiversity, current methods trade-off ecological realism at a species level in favour of including multiple species and landscape features. For conservation planning to be relevant, the impact of landscape configuration on population processes and the viability of species needs to be considered. We present a novel method for selecting reserve systems that maximize persistence across multiple species, subject to a conservation budget. We use a spatially explicit metapopulation model to estimate extinction risk, a function of the ecology of the species and the amount, quality and configuration of habitat. We compare our new method with more traditional, area-based reserve selection methods, using a ten-species case study, and find that the expected loss of species is reduced 20-fold. Unlike previous methods, we avoid designating arbitrary weightings between reserve size and configuration; rather, our method is based on population processes and is grounded in ecological theory.
Keyword Conservation Planning
Metapopulation
Multiple Species Conservation
Optimization
Reserve Design
Simulated Annealing
Site Selection
Ecology
Designing Nature-reserves
Heterogeneous Landscapes
Metapopulation Dynamics
Selection Algorithms
Population Viability
Site-selection
Biodiversity
Uncertainty
Networks
Wildlife
Q-Index Code C1
Additional Notes DOI: 10.1111/j.1461-0248.2006.00956.x

 
Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 54 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 58 times in Scopus Article | Citations
Google Scholar Search Google Scholar
Access Statistics: 78 Abstract Views  -  Detailed Statistics
Created: Wed, 15 Aug 2007, 08:18:03 EST