Predictability in community dynamics
The coupling between community composition and climate change spans a gradient from no lags to strong lags. The no-lag hypothesis is the foundation of many ecophysiological models, correlative species distribution modelling and climate reconstruction approaches. Simple lag hypotheses have become pro...
| Main Authors: | , , , , , , , , , , |
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| Format: | Journal article |
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John Wiley & Sons Ltd
2017
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| _version_ | 1797091543466639360 |
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| author | Blonder, B Moulton, D Blois, J Enquist, B Graae, B Macias-Fauria, M McGill, B Nogué, S Ordonez, A Sandel, B Svenning, J |
| author_facet | Blonder, B Moulton, D Blois, J Enquist, B Graae, B Macias-Fauria, M McGill, B Nogué, S Ordonez, A Sandel, B Svenning, J |
| author_sort | Blonder, B |
| collection | OXFORD |
| description | The coupling between community composition and climate change spans a gradient from no lags to strong lags. The no-lag hypothesis is the foundation of many ecophysiological models, correlative species distribution modelling and climate reconstruction approaches. Simple lag hypotheses have become prominent in disequilibrium ecology, proposing that communities track climate change following a fixed function or with a time delay. However, more complex dynamics are possible and may lead to memory effects and alternate unstable states. We develop graphical and analytic methods for assessing these scenarios and show that these dynamics can appear in even simple models. The overall implications are that (1) complex community dynamics may be common and (2) detailed knowledge of past climate change and community states will often be necessary yet sometimes insufficient to make predictions of a community's future state. |
| first_indexed | 2024-03-07T03:34:36Z |
| format | Journal article |
| id | oxford-uuid:bbdbf1ef-cbe7-4967-93f6-cdbb8dad4b9c |
| institution | University of Oxford |
| last_indexed | 2024-03-07T03:34:36Z |
| publishDate | 2017 |
| publisher | John Wiley & Sons Ltd |
| record_format | dspace |
| spelling | oxford-uuid:bbdbf1ef-cbe7-4967-93f6-cdbb8dad4b9c2022-03-27T05:20:06ZPredictability in community dynamicsJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:bbdbf1ef-cbe7-4967-93f6-cdbb8dad4b9cSymplectic Elements at OxfordJohn Wiley & Sons Ltd2017Blonder, BMoulton, DBlois, JEnquist, BGraae, BMacias-Fauria, MMcGill, BNogué, SOrdonez, ASandel, BSvenning, JThe coupling between community composition and climate change spans a gradient from no lags to strong lags. The no-lag hypothesis is the foundation of many ecophysiological models, correlative species distribution modelling and climate reconstruction approaches. Simple lag hypotheses have become prominent in disequilibrium ecology, proposing that communities track climate change following a fixed function or with a time delay. However, more complex dynamics are possible and may lead to memory effects and alternate unstable states. We develop graphical and analytic methods for assessing these scenarios and show that these dynamics can appear in even simple models. The overall implications are that (1) complex community dynamics may be common and (2) detailed knowledge of past climate change and community states will often be necessary yet sometimes insufficient to make predictions of a community's future state. |
| spellingShingle | Blonder, B Moulton, D Blois, J Enquist, B Graae, B Macias-Fauria, M McGill, B Nogué, S Ordonez, A Sandel, B Svenning, J Predictability in community dynamics |
| title | Predictability in community dynamics |
| title_full | Predictability in community dynamics |
| title_fullStr | Predictability in community dynamics |
| title_full_unstemmed | Predictability in community dynamics |
| title_short | Predictability in community dynamics |
| title_sort | predictability in community dynamics |
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