Global Scale Predictions of Community and Ecosystem Properties from Simple Ecological Theory

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 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 >10^-5 g wet weight is 2.62 1e9 t (=8.16 g m-2 ocean) and production is 1.0 e10 t y^-1 (31.15 g m-2 y-1). Based on 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 to be 8.99 1e8 t (2.80 g m-2) and 7.91 1e8 t y-1 (2.46 g m-2 y-1) respectively and 50% of fish biomass is shown to occur in 17% of the total ocean area (8.22 g m-2). The analyses show that emerging ecological theory can be synthesised to set baselines for assessing human and climate impacts on global scales.

JENNINGS Simon;  MELIN Frederic;  BLANCHARD Julia;  FOSTER Rodney;  DULVY Nicholas;  WILSON Rod; 

2008-05-06

ROYAL SOCIETY

JRC43749

0962-8452,   

https://publications.jrc.ec.europa.eu/repository/handle/JRC43749,   

10.1098/rspb.2008.0192,