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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...
Autores principales: | , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley & Sons, Ltd
2015
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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. |
format | Online Article Text |
id | pubmed-4676300 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | John Wiley & Sons, Ltd |
record_format | MEDLINE/PubMed |
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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