Review: predictive ecology in a changing world

Mouquet Nicolas, Lagadeuc Yvan, Devictor Vincent, Doyen Luc, Duputié Anne, Eveillard Damien, Faure Denis, Garnier Eric, Gimenez Olivier, Huneman Philippe, Jabot Franck, Jarne Philippe, Joly Dominique, Julliard Romain, Kéfi Sonia, Kergoat Gael J., Lavorel Sandra, Le Gall Line, Meslin Laurence, Morand Serge, Morin Xavier, Morlon Hélène, Pinay Gilles, Pradel Roger, Schurr Frankl M., Thuiller Wilfried, Loreau Michel. 2015. Review: predictive ecology in a changing world. Journal of Applied Ecology, 52 (5) : 1293-1310.

Quartile : Q1, Sujet : ECOLOGY

Liste HCERES des revues (en SHS) : oui

Thème(s) HCERES des revues (en SHS) : Economie-gestion

Résumé : 1. In a rapidly changing world, ecology has the potential to move from empirical and conceptual stages to application and management issues. It is now possible to make large-scale predictions up to continental or global scales, ranging from the future distribution of biological diversity to changes in ecosystem functioning and services. With these recent developments, ecology has a historical opportunity to become a major actor in the development of a sustainable human society. With this opportunity, however, also comes an important responsibility in developing appropriate predictive models, correctly interpreting their outcomes and communicating their limitations. There is also a danger that predictions grow faster than our understanding of ecological systems, resulting in a gap between the scientists generating the predictions and stakeholders using them (conservation biologists, environmental managers, journalists, policymakers). 2. Here, we use the context provided by the current surge of ecological predictions on the future of biodiversity to clarify what prediction means, and to pinpoint the challenges that should be addressed in order to improve predictive ecological models and the way they are understood and used. 3. Synthesis and applications. Ecologists face several challenges to ensure the healthy development of an operational predictive ecological science: (i) clarity on the distinction between explanatory and anticipatory predictions; (ii) developing new theories at the interface between explanatory and anticipatory predictions; (iii) open data to test and validate predictions; (iv) making predictions operational; and (v) developing a genuine ethics of prediction.

Mots-clés Agrovoc : écologie, biodiversité, technique de prévision, science ouverte, services écosystémiques, développement durable, écosystème, conservation des ressources, gestion des ressources naturelles

Classification Agris : P01 - Conservation de la nature et ressources foncières
L70 - Sciences et hygiène vétérinaires - Considérations générales

Champ stratégique Cirad : Axe 6 (2014-2018) - Sociétés, natures et territoires

Auteurs et affiliations

• Mouquet Nicolas, ISEM (FRA)
• Lagadeuc Yvan, Université de Rennes (FRA)
• Devictor Vincent, ISEM (FRA)
• Doyen Luc, CNRS (FRA)
• Duputié Anne, CNRS (FRA)
• Eveillard Damien, CNRS (FRA)
• Faure Denis, CNRS (FRA)
• Garnier Eric, CNRS (FRA)
• Gimenez Olivier, CNRS (FRA)
• Huneman Philippe, CNRS (FRA)
• Jabot Franck, IRSTEA (FRA)
• Jarne Philippe, CNRS (FRA)
• Joly Dominique, CNRS (FRA)
• Julliard Romain, MNHN (FRA)
• Kéfi Sonia, Université de Montpellier (FRA)
• Kergoat Gael J., INRA (FRA)
• Lavorel Sandra, Université Grenoble Alpes (FRA)
• Le Gall Line, MNHN (FRA)
• Meslin Laurence, ISEM (FRA)
• Morand Serge, CIRAD-ES-UPR AGIRs (LAO) ORCID: 0000-0003-3986-7659
• Morin Xavier, CNRS (FRA)
• Morlon Hélène, ENS (FRA)
• Pinay Gilles, CNRS (FRA)
• Pradel Roger, CNRS (FRA)
• Schurr Frankl M., Universität Hohenheim (DEU)
• Thuiller Wilfried, CNRS (FRA)
• Loreau Michel, CNRS (FRA)

Source : Cirad-Agritrop (https://agritrop.cirad.fr/578453/)

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