Publication Date:
2004-06-05
Description:
With increasing pressure for a more ecological approach to marine fisheries and environmental management, there is a growing need to understand and predict changes in marine ecosystems. Biogeochemical and physical oceanographic models are well developed, but extending these further up the food web to include zooplankton and fish is a major challenge. The difficulty arises because organisms at higher trophic levels are longer lived, with important variability in abundance and distribution at basin and decadal scales. Those organisms at higher trophic levels also have complex life histories compared to microbes, further complicating their coupling to lower trophic levels and the physical system. We discuss a strategy that builds on recent advances in modeling and observations and suggest a way forward that includes approaches to coupling across trophic levels and the inclusion of uncertainty.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉deYoung, Brad -- Heath, Mike -- Werner, Francisco -- Chai, Fei -- Megrey, Bernard -- Monfray, Patrick -- New York, N.Y. -- Science. 2004 Jun 4;304(5676):1463-6.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Physics and Physical Oceanography, Memorial University, St. John's, Canada. bdeyoung@physics.mun.ca〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/15178792" target="_blank"〉PubMed〈/a〉
Keywords:
Animals
;
Atlantic Ocean
;
Climate
;
*Copepoda/physiology
;
*Ecosystem
;
Food Chain
;
Forecasting
;
*Marine Biology
;
*Models, Biological
;
Models, Statistical
;
Pacific Ocean
;
Population Dynamics
;
*Seawater
;
*Tuna/physiology
;
Uncertainty
Print ISSN:
0036-8075
Electronic ISSN:
1095-9203
Topics:
Biology
,
Chemistry and Pharmacology
,
Computer Science
,
Medicine
,
Natural Sciences in General
,
Physics
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