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The ecological forecast horizon, and examples of its uses and determinants

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 futur...

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Autores principales: 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, Vasseur, David
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Ltd 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4676300/
https://www.ncbi.nlm.nih.gov/pubmed/25960188
http://dx.doi.org/10.1111/ele.12443
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author 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
Vasseur, David
author_facet 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
Vasseur, David
author_sort Petchey, Owen L
collection PubMed
description 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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spelling pubmed-46763002015-12-19 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 Vasseur, David Ecol Lett Ideas and Perspectives 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. John Wiley & Sons, Ltd 2015-07 2015-05-07 /pmc/articles/PMC4676300/ /pubmed/25960188 http://dx.doi.org/10.1111/ele.12443 Text en © 2015 The Authors Ecology Letters published by John Wiley & Sons Ltd and CNRS. http://creativecommons.org/licenses/by/4.0/ This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Ideas and Perspectives
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
Vasseur, David
The ecological forecast horizon, and examples of its uses and determinants
title The ecological forecast horizon, and examples of its uses and determinants
title_full The ecological forecast horizon, and examples of its uses and determinants
title_fullStr The ecological forecast horizon, and examples of its uses and determinants
title_full_unstemmed The ecological forecast horizon, and examples of its uses and determinants
title_short The ecological forecast horizon, and examples of its uses and determinants
title_sort ecological forecast horizon, and examples of its uses and determinants
topic Ideas and Perspectives
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4676300/
https://www.ncbi.nlm.nih.gov/pubmed/25960188
http://dx.doi.org/10.1111/ele.12443
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