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A Mechanistic Approach to Plankton Ecology
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A Mechanistic Approach to Plankton Ecology

Book Details

Format Hardback or Cased Book
ISBN-10 0691134227
ISBN-13 9780691134222
Publisher Princeton University Press
Imprint Princeton University Press
Country of Manufacture US
Country of Publication GB
Publication Date Sep 22nd, 2008
Print length 224 Pages
Weight 460 grams
Dimensions 24.30 x 16.30 x 2.00 cms
Ksh 10,800.00
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The three main missions of any organism - growing, reproducing, and surviving - depend on encounters with food and mates, and on avoiding encounters with predators. This book offers a mechanistic approach to the study of ocean ecology by exploring biological interactions in plankton at the individual level.

The three main missions of any organism--growing, reproducing, and surviving--depend on encounters with food and mates, and on avoiding encounters with predators. Through natural selection, the behavior and ecology of plankton organisms have evolved to optimize these tasks. This book offers a mechanistic approach to the study of ocean ecology by exploring biological interactions in plankton at the individual level. The book focuses on encounter mechanisms, since the pace of life in the ocean intimately relates to the rate at which encounters happen.


Thomas Kiørboe examines the life and interactions of plankton organisms with the larger aim of understanding marine pelagic food webs. He looks at plankton ecology and behavior in the context of the organisms'' immediate physical and chemical habitats. He shows that the nutrient uptake, feeding rates, motility patterns, signal transmissions, and perception of plankton are all constrained by nonintuitive interactions between organism biology and small-scale physical and chemical characteristics of the three-dimensional fluid environment.


Most of the book''s chapters consist of a theoretical introduction followed by examples of how the theory might be applied to real-world problems. In the final chapters, mechanistic insights of individual-level processes help to describe broader population dynamics and pelagic food web structure and function.


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