| Multi-decadal oceanic ecological datasets and their application in marine policy and management. | |
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MedLine Citation:
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PMID: 20813425 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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Long-term biological time-series in the oceans are relatively rare. Using the two longest of these we show how the information value of such ecological time-series increases through space and time in terms of their potential policy value. We also explore the co-evolution of these oceanic biological time-series with changing marine management drivers. Lessons learnt from reviewing these sequences of observations provide valuable context for the continuation of existing time-series and perspective for the initiation of new time-series in response to rapid global change. Concluding sections call for a more integrated approach to marine observation systems and highlight the future role of ocean observations in adaptive marine management. |
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Authors:
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Martin Edwards; Gregory Beaugrand; Graeme C Hays; J Anthony Koslow; Anthony J Richardson |
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Publication Detail:
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Type: Journal Article; Review |
Journal Detail:
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Title: Trends in ecology & evolution Volume: 25 ISSN: 0169-5347 ISO Abbreviation: Trends Ecol. Evol. (Amst.) Publication Date: 2010 Oct |
Date Detail:
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Created Date: 2010-09-20 Completed Date: 2010-12-14 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: 602-10 Citation Subset: IM |
Copyright Information:
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Copyright © 2010 Elsevier Ltd. All rights reserved. |
Affiliation:
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Sir Alister Hardy Foundation for Ocean Science, Citadel Hill, The Hoe, Plymouth PL1 2PB, UK. maed@sahfos.ac.uk |
Export Citation:
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APA/MLA Format Download EndNote Download BibTex |
| MeSH Terms | |
Descriptor/Qualifier:
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Animals Climate Change Conservation of Energy Resources Databases, Factual* Environmental Policy Fisheries Marine Biology* Oceans and Seas Plankton Time Factors |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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