LEADER 02422oam 22004814a 450 001 9910794701103321 005 20231110225559.0 010 $a1-60917-667-7 035 $a(CKB)4100000011785035 035 $a(OCoLC)1240282341 035 $a(MdBmJHUP)muse97221 035 $a(MiAaPQ)EBC28445100 035 $a(Au-PeEL)EBL28445100 035 $a(EXLCZ)994100000011785035 100 $a20210302d2021 uy 0 101 0 $aeng 135 $aur|||||||nn|n 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aBiophysical Models and Applications in Ecosystem Analysis 205 $a1st ed. 210 1$a[S.l.] :$cMICHIGAN STATE UNIV PRESS,$d2021. 210 4$dİ2021. 215 $a1 online resource (1 online resource) 225 1 $aEcosystem Science&Applications 311 $a1-61186-393-7 330 $a"The past five decades have witnessed a rapid growth of computer models for simulating ecosystem functions and dynamics. This has been fueled by the availability of remote sensing data, computation capability, and cross-disciplinary sciences. These models contain many sub-modules for simulating different processes and forcing mechanisms, albeit it has become challenging to truly understand the details due to their complexity. Most ecosystem models, fortunately, are rooted in a few core biophysical foundations, such as widely recognized Farquhar's model, Ball-Berry-Leuning-Medlyn family models, Penman-Monteith model, Priestley-Taylor Model, Machaelis-Menten kinetics, and others. After an introduction of biophysical essentials, four chapters present the core algorithms and their behaviors in modeling ecosystem production, respiration, evapotranspiration, and global warming potentials"--$cProvided by publisher. 410 0$aEcosystem Science&Applications 606 $aBiotic communities$xResearch$xMethodology 606 $aBiotic communities$xSimulation methods 606 $aEcology$xSimulation methods 615 0$aBiotic communities$xResearch$xMethodology. 615 0$aBiotic communities$xSimulation methods. 615 0$aEcology$xSimulation methods. 676 $a577.01/13 700 $aCHEN$b JIQUAN$01527323 801 0$bMdBmJHUP 801 1$bMdBmJHUP 906 $aBOOK 912 $a9910794701103321 996 $aBiophysical Models and Applications in Ecosystem Analysis$93787851 997 $aUNINA