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 Location:  Home » Shark Fishing Books » General AAS » A Mechanistic Approach to Plankton EcologyDecember 2, 2008  
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A Mechanistic Approach to Plankton Ecology
A Mechanistic Approach to Plankton Ecology
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Author: Thomas Kiorboe
Publisher: Princeton University Press
Category: Book

List Price: $39.50
Buy New: $27.78
You Save: $11.72 (30%)
Buy New/Used from $27.78

Sales Rank: 258709

Languages: English (Original Language), English (Unknown), English (Published)
Media: Hardcover
Number Of Items: 1
Pages: 228
Shipping Weight (lbs): 0.9
Dimensions (in): 9.3 x 6.2 x 0.8

ISBN: 0691134227
Dewey Decimal Number: 578.776
EAN: 9780691134222
ASIN: 0691134227

Publication Date: September 22, 2008
Availability: Usually ships in 1-2 business days

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Editorial Reviews:

Product Description

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 Kiorboe 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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