02422oam 22004814a 450 991079470110332120231110225559.01-60917-667-7(CKB)4100000011785035(OCoLC)1240282341(MdBmJHUP)muse97221(MiAaPQ)EBC28445100(Au-PeEL)EBL28445100(EXLCZ)99410000001178503520210302d2021 uy 0engur|||||||nn|ntxtrdacontentcrdamediacrrdacarrierBiophysical Models and Applications in Ecosystem Analysis1st ed.[S.l.] :MICHIGAN STATE UNIV PRESS,2021.©2021.1 online resource (1 online resource)Ecosystem Science&Applications 1-61186-393-7 "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"--Provided by publisher.Ecosystem Science&Applications Biotic communitiesResearchMethodologyBiotic communitiesSimulation methodsEcologySimulation methodsBiotic communitiesResearchMethodology.Biotic communitiesSimulation methods.EcologySimulation methods.577.01/13CHEN JIQUAN1527323MdBmJHUPMdBmJHUPBOOK9910794701103321Biophysical Models and Applications in Ecosystem Analysis3787851UNINA