Conservation planning with uncertain climate change projections

PLoS One. 2013;8(2):e53315. doi: 10.1371/journal.pone.0053315. Epub 2013 Feb 6.

Abstract

Climate change is affecting biodiversity worldwide, but conservation responses are constrained by considerable uncertainty regarding the magnitude, rate and ecological consequences of expected climate change. Here we propose a framework to account for several sources of uncertainty in conservation prioritization. Within this framework we account for uncertainties arising from (i) species distributions that shift following climate change, (ii) basic connectivity requirements of species, (iii) alternative climate change scenarios and their impacts, (iv) in the modelling of species distributions, and (v) different levels of confidence about present and future. When future impacts of climate change are uncertain, robustness of decision-making can be improved by quantifying the risks and trade-offs associated with climate scenarios. Sensible prioritization that accounts simultaneously for the present and potential future distributions of species is achievable without overly jeopardising present-day conservation values. Doing so requires systematic treatment of uncertainties and testing of the sensitivity of results to assumptions about climate. We illustrate the proposed framework by identifying priority areas for amphibians and reptiles in Europe.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Biodiversity
  • Climate Change*
  • Conservation of Natural Resources / methods*
  • Decision Making
  • Europe
  • Uncertainty*

Grants and funding

For financial support HK and AM thank the Academy of Finland Centre of Excellence Programme 2006–2011, grants 213457 and 129636 (URL: http://www.aka.fi/en-GB/A/Centres-of-Excellence-/). HK was also funded by a Luonnonvaraisten eliöiden kestävän käytön ja suojelun tutkijakoulu Graduate School fellowship (URL: http://www.helsinki.fi/luova) and by Finnish Cultural Foundation, grant SKR-00070832 (URL: http://www.skr.fi). AM acknowledges the support by the ERC-StG (European Research Council Starting Grant, URL: http://erc.europa.eu/starting-grants) project Global Environmental Decision Analysis (GEDA), grant 260393. MC and MBA were funded by the European Commission Seventh Framework Program project European RESPONSES to climate change (grant agreement number 244092, URL: http://www.responsesproject.eu/). MBA also acknowledges the Spanish Research Council (URL: http://www.csic.es/web/guest/home), the ‘Rui Nabeiro’ Biodiversity Chair (URL: http://www.catedra.uevora.pt/rui-nabeiro/), and the Danish National Research Foundation (URL: http://www.dg.dk/en/) for support of his research. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.