Predicting species distributions for conservation decisions.
- Guisan A Department of Ecology and Evolution, University of Lausanne, 1015, Lausanne, Switzerland; Institute of Earth Surface Dynamics, University of Lausanne, 1015, Lausanne, Switzerland; ARC Centre of Excellence for Environmental Decisions (CEED), School of Biological Sciences, The University of Queensland, St Lucia, Brisbane, Qld, 4072, Australia; CSIRO Ecosystem Sciences, Ecosciences Precinct, Dutton Park, Brisbane, Qld, 4102, Australia.
- Tingley R
- Baumgartner JB
- Naujokaitis-Lewis I
- Sutcliffe PR
- Tulloch AI
- Regan TJ
- Brotons L
- McDonald-Madden E
- Mantyka-Pringle C
- Martin TG
- Rhodes JR
- Maggini R
- Setterfield SA
- Elith J
- Schwartz MW
- Wintle BA
- Broennimann O
- Austin M
- Ferrier S
- Kearney MR
- Possingham HP
- Buckley YM
- 2013-10-19
Published in:
- Ecology letters. - 2013
Biological invasions
conservation planning
critical habitats
environmental suitability
reserve selection
species distribution model
structured decision making
translocation
Conservation of Natural Resources
Decision Making
Decision Support Techniques
Ecology
Endangered Species
Models, Theoretical
Research Design
English
Species distribution models (SDMs) are increasingly proposed to support conservation decision making. However, evidence of SDMs supporting solutions for on-ground conservation problems is still scarce in the scientific literature. Here, we show that successful examples exist but are still largely hidden in the grey literature, and thus less accessible for analysis and learning. Furthermore, the decision framework within which SDMs are used is rarely made explicit. Using case studies from biological invasions, identification of critical habitats, reserve selection and translocation of endangered species, we propose that SDMs may be tailored to suit a range of decision-making contexts when used within a structured and transparent decision-making process. To construct appropriate SDMs to more effectively guide conservation actions, modellers need to better understand the decision process, and decision makers need to provide feedback to modellers regarding the actual use of SDMs to support conservation decisions. This could be facilitated by individuals or institutions playing the role of 'translators' between modellers and decision makers. We encourage species distribution modellers to get involved in real decision-making processes that will benefit from their technical input; this strategy has the potential to better bridge theory and practice, and contribute to improve both scientific knowledge and conservation outcomes.
- Language
-
- English
- Open access status
- hybrid
- Identifiers
-
- DOI 10.1111/ele.12189
- PMID 24134332
- Persistent URL
- https://sonar.ch/global/documents/113574
Statistics
Document views: 80
File downloads:
- Full-text: 0