Global-scale predictions of community and ecosystem properties from simple ecological theory

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外文摘要：We show how theoretical developments in macroecology, life-history theory and food-web ecology can be combined to formulate a simple model for predicting the potential biomass, production, size and trophic structure of consumer communities. The strength of our approach is that it uses remote sensing data to predict properties of consumer communities in environments that are challenging and expensive to sample directly. An application of the model to the marine environment on a global scale, using primary production and temperature estimates from satellite remote sensing as inputs, suggests that the global biomass of marine animals more than 10-5g wet weight is 2.62×109t (=8.16gm-2 ocean) and production is 1.00×1010tyr-1 (31.15gm-2yr-1). Based on the life-history theory, we propose and apply an approximation for distinguishing the relative contributions of different animal groups. Fish biomass and production, for example, are estimated as 8.99×108t (2.80gm-2) and 7.91×108tyr-1 (2.46gm-2yr-1), respectively, and 50% of fish biomass is shown to occur in 17% of the total ocean area (8.22gm-2). The analyses show that emerging ecological theory can be synthesized to set baselines for assessing human and climate impacts on global scales.

外文关键词：

macroecologymetabolic ecologyfood webfood chainclimateproduction

作者：

Simon Jennings、Frédéric Mélin、Julia L. Blanchard、Rodney M. Forster、Nicholas K. Dulvy、Rod W. Wilson

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作者单位：

Centre for Environment, Fisheries and Aquaculture Science, Pakefield Road, Lowestoft NR33 0HT, UK

European Commission—Joint Research Centre, Institute for Environment and Sustainability, T.P. 272 I-21027 Ispra (VA), Italy

Hatherly Laboratories, School of Biosciences, University of Exeter, Exeter EX4 4PS, UK

出版年：

2008

The Royal Society Proceedings B: Biological Sciences

ISSN：0962-8452

年,卷(期)：2008.275(1641)