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[null,"1.","Record Nr.",null,"UNINA9910809545303321"]
[null,null,"Autore",null,"CHEN JIQUAN"]
[null,null,"Titolo",null,"Biophysical Models and Applications in Ecosystem Analysis"]
[null,null,"Pubbl/distr/stampa",null,"[S.l.] : , : MICHIGAN STATE UNIV PRESS, , 2021"]
[{"$nulls":4},"©2021"]
[null,null,"ISBN",null,"1-60917-667-7"]
[null,null,"Edizione",null,"[1st ed.]"]
[null,null,"Descrizione fisica",null,"1 online resource (1 online resource)"]
[null,null,"Collana",null,"Ecosystem Science&Applications"]
[null,null,"Disciplina",null,"577.01/13"]
[null,null,"Soggetti",null,"Biotic communities - Research - Methodology"]
[{"$nulls":4},"Biotic communities - Simulation methods"]
[{"$nulls":4},"Ecology - Simulation methods"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Sommario/riassunto","\"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\"--"]