| How close are we to a predictive science of the biosphere? | |
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MedLine Citation:
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PMID: 16815439 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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In just 20 years, the field of biosphere-atmosphere interactions has gone from a nascent discipline to a central area of modern climate change research. The development of terrestrial biosphere models that predict the responses of ecosystems to climate and increasing CO2 levels has highlighted several mechanisms by which changes in ecosystem composition and function might alter regional and global climate. However, results from empirical studies suggest that ecosystem responses can differ markedly from the predictions of terrestrial biosphere models. As I discuss here, the challenge now is to connect terrestrial biosphere models to empirical ecosystem measurements. Only by systematically evaluating the predictions of terrestrial biosphere models against suites of ecosystem observations and experiments measurements will a true predictive science of the biosphere be achieved. |
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Authors:
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Paul R Moorcroft |
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Publication Detail:
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Type: Journal Article; Research Support, U.S. Gov't, Non-P.H.S.; Review Date: 2006-05-12 |
Journal Detail:
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Title: Trends in ecology & evolution Volume: 21 ISSN: 0169-5347 ISO Abbreviation: Trends Ecol. Evol. (Amst.) Publication Date: 2006 Jul |
Date Detail:
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Created Date: 2006-07-03 Completed Date: 2006-12-07 Revised Date: 2011-05-03 |
Medline Journal Info:
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Nlm Unique ID: 8805125 Medline TA: Trends Ecol Evol Country: England |
Other Details:
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Languages: eng Pagination: 400-7 Citation Subset: IM |
Affiliation:
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Department of Organismic and Evolutionary Biology, Harvard University, 22 Divinity Avenue, Cambridge, MA 02138, USA. paul.moorcroft@harvard.edu |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Acclimatization
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physiology Atmosphere / analysis* Biodiversity Climate* Ecosystem* Forecasting* Geology / methods Models, Theoretical Plant Physiological Phenomena |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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