Biophysical Models And Applications In Ecosystem Analysis

Biophysical Models and Applications in Ecosystem Analysis

Biophysical Models and Applications in Ecosystem Analysis

"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 sciences. These models contain many sub-modules 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 widely recognized Farquhar's model, Ball-Berry-Leuning-Medlyn family models, Penman-Monteith model, Priestley-Taylor Model, Machaelis-Menten kinetics, and others. 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"--

Biophysical Models and Applications in Ecosystem Analysis

Biophysical models, such as Monteith, Prestley-Taylor, and Ball-Berry models, are widely applied in modern ecosystem studies and remote sensing modeling on carbon and water cycles. This monograph is the first comprehensive publication for ecosystem ecologists to grasp a suite of popular models and their applications in terrestrial ecosystem analysis. The text covers popular biophysical models and model comparisons on ecosystem production (GPP, NPP, and NEP), photosynthesis, respiration, evapotranspiration (ET), energy fluxes, and major trace gases. Each chapter includes a brief introduction of the theoretical foundation for modeling, a short description for each model, and synthetic comparisons of the models, and recommendations for model selection. Examples from case studies are also provided for the readers to understand the models and their uses.