Literature DB >> 23070061

A risk-based approach to evaluating wildlife demographics for management in a changing climate: a case study of the Lewis's Woodpecker.

Erin Towler1, Victoria A Saab, Richard S Sojda, Katherine Dickinson, Cindy L Bruyère, Karen R Newlon.   

Abstract

Given the projected threat that climate change poses to biodiversity, the need for proactive response efforts is clear. However, integrating uncertain climate change information into conservation planning is challenging, and more explicit guidance is needed. To this end, this article provides a specific example of how a risk-based approach can be used to incorporate a species' response to climate into conservation decisions. This is shown by taking advantage of species' response (i.e., impact) models that have been developed for a well-studied bird species of conservation concern. Specifically, we examine the current and potential impact of climate on nest survival of the Lewis's Woodpecker (Melanerpes lewis) in two different habitats. To address climate uncertainty, climate scenarios are developed by manipulating historical weather observations to create ensembles (i.e., multiple sequences of daily weather) that reflect historical variability and potential climate change. These ensembles allow for a probabilistic evaluation of the risk posed to Lewis's Woodpecker nest survival and are used in two demographic analyses. First, the relative value of each habitat is compared in terms of nest survival, and second, the likelihood of exceeding a critical population threshold is examined. By embedding the analyses in a risk framework, we show how management choices can be made to be commensurate with a defined level of acceptable risk. The results can be used to inform habitat prioritization and are discussed in the context of an economic framework for evaluating trade-offs between management alternatives.

Entities:  

Mesh:

Year:  2012        PMID: 23070061      PMCID: PMC3497959          DOI: 10.1007/s00267-012-9953-z

Source DB:  PubMed          Journal:  Environ Manage        ISSN: 0364-152X            Impact factor:   3.266


  7 in total

Review 1.  Global biodiversity scenarios for the year 2100.

Authors:  O E Sala; F S Chapin; J J Armesto; E Berlow; J Bloomfield; R Dirzo; E Huber-Sanwald; L F Huenneke; R B Jackson; A Kinzig; R Leemans; D M Lodge; H A Mooney; M Oesterheld; N L Poff; M T Sykes; B H Walker; M Walker; D H Wall
Journal:  Science       Date:  2000-03-10       Impact factor: 47.728

2.  Extinction risk from climate change.

Authors:  Chris D Thomas; Alison Cameron; Rhys E Green; Michel Bakkenes; Linda J Beaumont; Yvonne C Collingham; Barend F N Erasmus; Marinez Ferreira De Siqueira; Alan Grainger; Lee Hannah; Lesley Hughes; Brian Huntley; Albert S Van Jaarsveld; Guy F Midgley; Lera Miles; Miguel A Ortega-Huerta; A Townsend Peterson; Oliver L Phillips; Stephen E Williams
Journal:  Nature       Date:  2004-01-08       Impact factor: 49.962

3.  Quantification of modelling uncertainties in a large ensemble of climate change simulations.

Authors:  James M Murphy; David M H Sexton; David N Barnett; Gareth S Jones; Mark J Webb; Matthew Collins; David A Stainforth
Journal:  Nature       Date:  2004-08-12       Impact factor: 49.962

4.  Chapter 2: adopting a risk-based approach.

Authors:  Gary Yohe; Robin Leichenko
Journal:  Ann N Y Acad Sci       Date:  2010-05       Impact factor: 5.691

Review 5.  Beyond predictions: biodiversity conservation in a changing climate.

Authors:  Terence P Dawson; Stephen T Jackson; Joanna I House; Iain Colin Prentice; Georgina M Mace
Journal:  Science       Date:  2011-04-01       Impact factor: 47.728

Review 6.  A framework for vulnerability analysis in sustainability science.

Authors:  B L Turner; Roger E Kasperson; Pamela A Matson; James J McCarthy; Robert W Corell; Lindsey Christensen; Noelle Eckley; Jeanne X Kasperson; Amy Luers; Marybeth L Martello; Colin Polsky; Alexander Pulsipher; Andrew Schiller
Journal:  Proc Natl Acad Sci U S A       Date:  2003-06-05       Impact factor: 12.779

7.  Towards an integrated framework for assessing the vulnerability of species to climate change.

Authors:  Stephen E Williams; Luke P Shoo; Joanne L Isaac; Ary A Hoffmann; Gary Langham
Journal:  PLoS Biol       Date:  2008-12-23       Impact factor: 8.029

  7 in total

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