Dynamic Energy and Mass Budgets in Biological Systems
Editorial Reviews
Review
From the reviews of the first edition: 'The Dynamic Energy Budget approach is refreshing, solidly grounded in biological data, supplemented with dramatic, well motivated theoretical concepts. This book is an excellent scientific product that informs and forces contemplation of issues relating to population and community ecology. The author has made a complex subject coherent.' Thomas G. Hallam, Bulletin of Mathematical Biology
'The Dynamic Energy Budget theory ... should be considered by modellers as a very useful and general tool to select more ecologically sound process equations and parameters in ecological models. I can therefore recommend the book as compulsory reading for al ecological modellers.' Sven Erik Jørgensen, Ecological Modelling
'The author has made a significant contribution to the problem of modelling the dynamics of biological populations at the level of the individual by synthesising this very complicated subject into a relatively short list of general assumptions and putting the energetics of sub-models for vital rates on a solid basis.' Jim Cushing, Mathematical Biosciences
Book Description
This eminent treatise elucidates the Dynamic Energy Budget theory that unifies the commonalities among organisms, as prescribed by the implications of energetics, and links different levels of biological organization. The theory presents simple mechanistic rules that describe the uptake and use of energy and nutrients and the consequences for physiological organization throughout an organism's life cycle. Kooijman covers living organisms in a single quantitative framework and tests the predictions against a variety of experimental results at a range of organizational levels. The theory provides a theoretical underpinning to the method of indirect calorimetry.
Dynamic Energy and Mass Budgets in Biological Systems,S. A. L. M. Kooijman,Cambridge University Press,0521786088,Biology,Environmental aspects,Life Sciences - Biology - General,Mathematical models,Pollution,Science,Science/Mathematics,Biology, Life Sciences,Biology--Mathematical models,Environmental science,Science / Biology
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