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Climate change, phenological shifts, eco-evolutionary responses and population viability: toward a unifying predictive approach
The debate on emission targets of greenhouse gasses designed to limit global climate change has to take into account the ecological consequences. One of the clearest ecological consequences is shifts in phenology. Linking these shifts to changes in population viability under various greenhouse gasse...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer-Verlag
2011
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3212686/ https://www.ncbi.nlm.nih.gov/pubmed/21710282 http://dx.doi.org/10.1007/s00484-011-0458-x |
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author | Jenouvrier, Stéphanie Visser, Marcel E. |
author_facet | Jenouvrier, Stéphanie Visser, Marcel E. |
author_sort | Jenouvrier, Stéphanie |
collection | PubMed |
description | The debate on emission targets of greenhouse gasses designed to limit global climate change has to take into account the ecological consequences. One of the clearest ecological consequences is shifts in phenology. Linking these shifts to changes in population viability under various greenhouse gasses emission scenarios requires a unifying framework. We propose a box-in-a-box modeling approach that couples population models to phenological change. This approach unifies population modeling with both ecological responses to climate change as well as evolutionary processes. We advocate a mechanistic embedded correlative approach, where the link from genes to population is established using a periodic matrix population model. This periodic model has several major advantages: (1) it can include complex seasonal behaviors allowing an easy link with phenological shifts; (2) it provides the structure of the population at each phase, including the distribution of genotypes and phenotypes, allowing a link with evolutionary processes; and (3) it can incorporate the effect of climate at different time periods. We believe that the way climatologists have approached the problem, using atmosphere–ocean coupled circulation models in which components are gradually included and linked to each other, can provide a valuable example to ecologists. We hope that ecologists will take up this challenge and that our preliminary modeling framework will stimulate research toward a unifying predictive model of the ecological consequences of climate change. |
format | Online Article Text |
id | pubmed-3212686 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | Springer-Verlag |
record_format | MEDLINE/PubMed |
spelling | pubmed-32126862011-11-28 Climate change, phenological shifts, eco-evolutionary responses and population viability: toward a unifying predictive approach Jenouvrier, Stéphanie Visser, Marcel E. Int J Biometeorol Original Article The debate on emission targets of greenhouse gasses designed to limit global climate change has to take into account the ecological consequences. One of the clearest ecological consequences is shifts in phenology. Linking these shifts to changes in population viability under various greenhouse gasses emission scenarios requires a unifying framework. We propose a box-in-a-box modeling approach that couples population models to phenological change. This approach unifies population modeling with both ecological responses to climate change as well as evolutionary processes. We advocate a mechanistic embedded correlative approach, where the link from genes to population is established using a periodic matrix population model. This periodic model has several major advantages: (1) it can include complex seasonal behaviors allowing an easy link with phenological shifts; (2) it provides the structure of the population at each phase, including the distribution of genotypes and phenotypes, allowing a link with evolutionary processes; and (3) it can incorporate the effect of climate at different time periods. We believe that the way climatologists have approached the problem, using atmosphere–ocean coupled circulation models in which components are gradually included and linked to each other, can provide a valuable example to ecologists. We hope that ecologists will take up this challenge and that our preliminary modeling framework will stimulate research toward a unifying predictive model of the ecological consequences of climate change. Springer-Verlag 2011-06-28 2011 /pmc/articles/PMC3212686/ /pubmed/21710282 http://dx.doi.org/10.1007/s00484-011-0458-x Text en © The Author(s) 2011 https://creativecommons.org/licenses/by-nc/4.0/ This article is distributed under the terms of the Creative Commons Attribution Noncommercial License which permits any noncommercial use, distribution, and reproduction in any medium, provided the original author(s) and source are credited. |
spellingShingle | Original Article Jenouvrier, Stéphanie Visser, Marcel E. Climate change, phenological shifts, eco-evolutionary responses and population viability: toward a unifying predictive approach |
title | Climate change, phenological shifts, eco-evolutionary responses and population viability: toward a unifying predictive approach |
title_full | Climate change, phenological shifts, eco-evolutionary responses and population viability: toward a unifying predictive approach |
title_fullStr | Climate change, phenological shifts, eco-evolutionary responses and population viability: toward a unifying predictive approach |
title_full_unstemmed | Climate change, phenological shifts, eco-evolutionary responses and population viability: toward a unifying predictive approach |
title_short | Climate change, phenological shifts, eco-evolutionary responses and population viability: toward a unifying predictive approach |
title_sort | climate change, phenological shifts, eco-evolutionary responses and population viability: toward a unifying predictive approach |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3212686/ https://www.ncbi.nlm.nih.gov/pubmed/21710282 http://dx.doi.org/10.1007/s00484-011-0458-x |
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