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Handbook of Scaling Methods in Aquatic Ecology
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Handbook of Scaling Methods in Aquatic Ecology : Measurement, Analysis, Simulation

Book Details

Format Hardback or Cased Book
ISBN-10 0849313449
ISBN-13 9780849313448
Publisher Taylor & Francis Inc
Imprint CRC Press Inc
Country of Manufacture US
Country of Publication GB
Publication Date Sep 25th, 2003
Print length 636 Pages
Weight 1,306 grams
Product Classification: Toxicology (non-medical)Marine biology
Ksh 39,600.00
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Explores topics related to the response or behavior of organisms to processes occurring over multiple spatial and temporal scales. This book helps foster a unified understanding of the subject matter among the modeling, experimental, and field research communities.
The evolution of observational instruments, simulation techniques, and computing power has given aquatic scientists a new understanding of biological and physical processes that span temporal and spatial scales. This has created a need for a single volume that addresses concepts of scale in a manner that builds bridges between experimentalists and theoreticians in aquatic ecology.

Handbook of Scaling Methods in Aquatic Ecology: Measurement, Analysis, Simulation is the first comprehensive compilation of modern scaling methods used in marine and freshwater ecological research. Written by leading researchers, it presents a systematic approach to dealing with space and time in aquatic ecology. This is a compendium that analyzes themes related to the response or behavior of organisms to processes occurring over multiple spatial and temporal scales.

This book covers: novel techniques for data collection, focusing on processes over a broad range of scales (from bacteria to ocean basins); newly-developed concepts and data analysis algorithms; and innovative computer models and simulations to mimic complex biological processes.

The Handbook serves as a reference volume for investigators seeking insight into new experimental approaches and data analysis, as well as the sensor design required for optimal sampling. Many of the algorithms and models provided are directly applicable to your experimental data. This comprehensive treatment of scaling methods and applications can help foster a unified understanding of subject matter among the modeling, experimental, and field research communities.

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