Predicting species distributions for conservation decisions

Antoine Guisan, Reid Tingley, John B. Baumgartner, Ilona Naujokaitis-Lewis, Patricia R. Sutcliffe, Ayesha I.T. Tulloch, Tracey J. Regan, Lluis Brotons, Eve Mcdonald-Madden, Chrystal Mantyka-Pringle, Tara G. Martin, Jonathan R. Rhodes, Ramona Maggini, Samantha A. Setterfield, Jane Elith, Mark W. Schwartz, Brendan A. Wintle, Olivier Broennimann, Mike Austin, Simon FerrierMichael R. Kearney, Hugh P. Possingham, Yvonne M. Buckley

Research output: Contribution to journalArticleResearchpeer-review

595 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)1424-1435
Number of pages12
JournalEcology Letters
Volume16
Issue number12
DOIs
Publication statusPublished - 1 Dec 2013
Externally publishedYes

Keywords

  • Biological invasions
  • Conservation planning
  • Critical habitats
  • Environmental suitability
  • Reserve selection
  • Species distribution model
  • Structured decision making
  • Translocation

Cite this

Guisan, A., Tingley, R., Baumgartner, J. B., Naujokaitis-Lewis, I., Sutcliffe, P. R., Tulloch, A. I. T., ... Buckley, Y. M. (2013). Predicting species distributions for conservation decisions. Ecology Letters, 16(12), 1424-1435. https://doi.org/10.1111/ele.12189
Guisan, Antoine ; Tingley, Reid ; Baumgartner, John B. ; Naujokaitis-Lewis, Ilona ; Sutcliffe, Patricia R. ; Tulloch, Ayesha I.T. ; Regan, Tracey J. ; Brotons, Lluis ; Mcdonald-Madden, Eve ; Mantyka-Pringle, Chrystal ; Martin, Tara G. ; Rhodes, Jonathan R. ; Maggini, Ramona ; Setterfield, Samantha A. ; Elith, Jane ; Schwartz, Mark W. ; Wintle, Brendan A. ; Broennimann, Olivier ; Austin, Mike ; Ferrier, Simon ; Kearney, Michael R. ; Possingham, Hugh P. ; Buckley, Yvonne M. / Predicting species distributions for conservation decisions. In: Ecology Letters. 2013 ; Vol. 16, No. 12. pp. 1424-1435.
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Guisan, A, Tingley, R, Baumgartner, JB, Naujokaitis-Lewis, I, Sutcliffe, PR, Tulloch, AIT, 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, 'Predicting species distributions for conservation decisions', Ecology Letters, vol. 16, no. 12, pp. 1424-1435. https://doi.org/10.1111/ele.12189

Predicting species distributions for conservation decisions. / Guisan, Antoine; Tingley, Reid; Baumgartner, John B.; Naujokaitis-Lewis, Ilona; Sutcliffe, Patricia R.; Tulloch, Ayesha I.T.; Regan, Tracey J.; Brotons, Lluis; Mcdonald-Madden, Eve; Mantyka-Pringle, Chrystal; Martin, Tara G.; Rhodes, Jonathan R.; Maggini, Ramona; Setterfield, Samantha A.; Elith, Jane; Schwartz, Mark W.; Wintle, Brendan A.; Broennimann, Olivier; Austin, Mike; Ferrier, Simon; Kearney, Michael R.; Possingham, Hugh P.; Buckley, Yvonne M.

In: Ecology Letters, Vol. 16, No. 12, 01.12.2013, p. 1424-1435.

Research output: Contribution to journalArticleResearchpeer-review

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AU - Guisan, Antoine

AU - Tingley, Reid

AU - Baumgartner, John B.

AU - Naujokaitis-Lewis, Ilona

AU - Sutcliffe, Patricia R.

AU - Tulloch, Ayesha I.T.

AU - Regan, Tracey J.

AU - Brotons, Lluis

AU - Mcdonald-Madden, Eve

AU - Mantyka-Pringle, Chrystal

AU - Martin, Tara G.

AU - Rhodes, Jonathan R.

AU - Maggini, Ramona

AU - Setterfield, Samantha A.

AU - Elith, Jane

AU - Schwartz, Mark W.

AU - Wintle, Brendan A.

AU - Broennimann, Olivier

AU - Austin, Mike

AU - Ferrier, Simon

AU - Kearney, Michael R.

AU - Possingham, Hugh P.

AU - Buckley, Yvonne M.

PY - 2013/12/1

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N2 - 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.

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KW - Conservation planning

KW - Critical habitats

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Guisan A, Tingley R, Baumgartner JB, Naujokaitis-Lewis I, Sutcliffe PR, Tulloch AIT et al. Predicting species distributions for conservation decisions. Ecology Letters. 2013 Dec 1;16(12):1424-1435. https://doi.org/10.1111/ele.12189