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The ecological forecast horizon, and examples of its uses and determinants.
Petchey, Owen L; Pontarp, Mikael; Massie, Thomas M; Kéfi, Sonia; Ozgul, Arpat; Weilenmann, Maja; Palamara, Gian Marco; Altermatt, Florian; Matthews, Blake; Levine, Jonathan M; Childs, Dylan Z; McGill, Brian J; Schaepman, Michael E; Schmid, Bernhard; Spaak, Piet; Beckerman, Andrew P; Pennekamp, Frank; Pearse, Ian S.
Affiliation
  • Petchey OL; Institute of Evolutionary Biology and Environmental Studies, University of Zurich, Winterthurerstrasse 190, CH-8057, Zurich, Switzerland.
  • Pontarp M; Department of Aquatic Ecology, Eawag: Swiss Federal Institute of Aquatic Science and Technology, Überlandstrasse 133, 8600 Dübendorf, Switzerland.
  • Massie TM; Institute of Evolutionary Biology and Environmental Studies, University of Zurich, Winterthurerstrasse 190, CH-8057, Zurich, Switzerland.
  • Kéfi S; Department of Ecology and Environmental Science, Umeå University, SE- 901 87 Umeå, Sweden.
  • Ozgul A; Institute of Evolutionary Biology and Environmental Studies, University of Zurich, Winterthurerstrasse 190, CH-8057, Zurich, Switzerland.
  • Weilenmann M; Institut des Sciences de l'Evolution, Université de Montpellier, CNRS, IRD, EPHE, CC065, Place Eugène Bataillon, 34095, Montpellier Cedex 05, France.
  • Palamara GM; Institute of Evolutionary Biology and Environmental Studies, University of Zurich, Winterthurerstrasse 190, CH-8057, Zurich, Switzerland.
  • Altermatt F; Institute of Evolutionary Biology and Environmental Studies, University of Zurich, Winterthurerstrasse 190, CH-8057, Zurich, Switzerland.
  • Matthews B; Institute of Evolutionary Biology and Environmental Studies, University of Zurich, Winterthurerstrasse 190, CH-8057, Zurich, Switzerland.
  • Levine JM; Institute of Evolutionary Biology and Environmental Studies, University of Zurich, Winterthurerstrasse 190, CH-8057, Zurich, Switzerland.
  • Childs DZ; Department of Aquatic Ecology, Eawag: Swiss Federal Institute of Aquatic Science and Technology, Überlandstrasse 133, 8600 Dübendorf, Switzerland.
  • McGill BJ; Department of Aquatic Ecology, Center for Ecology, Evolution, and Biogeochemistry, Eawag: Swiss Federal Institute of Aquatic Science and Technology, Kastanienbaum, Seestrasse 79, 6047 Luzern, Switzerland.
  • Schaepman ME; Institute of Integrative Biology, ETH Zurich, Universitätstrasse 16, 8092, Zurich, Switzerland.
  • Schmid B; Animal and Plant Sciences, Sheffield University, Sheffield, Western Bank. S10 2TN South Yorkshire, UK.
  • Spaak P; School of Biology and Ecology and Mitchel Center for Sustainability Solutions, University of Maine, Orono, 5751 Murray Hall, ME 04469, USA.
  • Beckerman AP; University of Zurich, Department of Geography, Remote Sensing Laboratories, Winterthurerstrasse 190, CH-8057 Zurich, Switzerland.
  • Pennekamp F; Institute of Evolutionary Biology and Environmental Studies, University of Zurich, Winterthurerstrasse 190, CH-8057, Zurich, Switzerland.
  • Pearse IS; Department of Aquatic Ecology, Eawag: Swiss Federal Institute of Aquatic Science and Technology, Überlandstrasse 133, 8600 Dübendorf, Switzerland.
Ecol Lett ; 18(7): 597-611, 2015 Jul.
Article in En | MEDLINE | ID: mdl-25960188
ABSTRACT
Forecasts of ecological dynamics in changing environments are increasingly important, and are available for a plethora of variables, such as species abundance and distribution, community structure and ecosystem processes. There is, however, a general absence of knowledge about how far into the future, or other dimensions (space, temperature, phylogenetic distance), useful ecological forecasts can be made, and about how features of ecological systems relate to these distances. The ecological forecast horizon is the dimensional distance for which useful forecasts can be made. Five case studies illustrate the influence of various sources of uncertainty (e.g. parameter uncertainty, environmental variation, demographic stochasticity and evolution), level of ecological organisation (e.g. population or community), and organismal properties (e.g. body size or number of trophic links) on temporal, spatial and phylogenetic forecast horizons. Insights from these case studies demonstrate that the ecological forecast horizon is a flexible and powerful tool for researching and communicating ecological predictability. It also has potential for motivating and guiding agenda setting for ecological forecasting research and development.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Ecology / Forecasting Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: Ecol Lett Year: 2015 Document type: Article Affiliation country: Switzerland

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Ecology / Forecasting Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: Ecol Lett Year: 2015 Document type: Article Affiliation country: Switzerland