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Biophysical Models and Applications in Ecosystem Analysis
by
Jiquan Chen
in
Biological Sciences
/ Biotic communities-Research-Methodology
/ Biotic communities-Simulation methods
/ Ecology-Simulation methods
/ Environmental
/ Environmental Science
/ Environmental Science (see also Chemistry
/ General Science
/ SCIENCE
2021
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Biophysical Models and Applications in Ecosystem Analysis
by
Jiquan Chen
in
Biological Sciences
/ Biotic communities-Research-Methodology
/ Biotic communities-Simulation methods
/ Ecology-Simulation methods
/ Environmental
/ Environmental Science
/ Environmental Science (see also Chemistry
/ General Science
/ SCIENCE
2021
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Do you wish to request the book?
Biophysical Models and Applications in Ecosystem Analysis
by
Jiquan Chen
in
Biological Sciences
/ Biotic communities-Research-Methodology
/ Biotic communities-Simulation methods
/ Ecology-Simulation methods
/ Environmental
/ Environmental Science
/ Environmental Science (see also Chemistry
/ General Science
/ SCIENCE
2021
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eBook
Biophysical Models and Applications in Ecosystem Analysis
2021
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Overview
The past five decades have witnessed a rapid growth of computer models for simulating ecosystem functions and dynamics. This has been fueled by the availability of remote sensing data, computation capability, and cross-disciplinary knowledge. These models contain many submodules for simulating different processes and forcing mechanisms, albeit it has become challenging to truly understand the details due to their complexity. Most ecosystem models, fortunately, are rooted in a few core biophysical foundations, such as the widely recognized Farquhar model, Ball-Berry-Leuning and Medlyn family models, Penman-Monteith equation, Priestley-Taylor model, and Michaelis-Menten kinetics. After an introduction of biophysical essentials, four chapters present the core algorithms and their behaviors in modeling ecosystem production, respiration, evapotranspiration, and global warming potentials. Each chapter is composed of a brief introduction of the literature, in which model algorithms, their assumptions, and performances are described in detail. Spreadsheet (or Python codes) templates are included in each chapter for modeling exercises with different input parameters as online materials, which include datasets, parameter estimation, and real-world applications (e.g., calculations of global warming potentials). Users can also apply their own datasets. The materials included in this volume serve as effective tools for users to understand model behaviors and uses with specified conditions and in situ applications.
Publisher
Michigan State University Press
Subject
ISBN
1611863937, 9781611863932
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