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Are more complex physiological models of forest ecosystems better choices for plot and regional predictions?

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Wenchi Jin, Hong S He, and Frank R. Thompson III, 2016-01, Are more complex physiological models of forest ecosystems better choices for plot and regional predictions?: Environmental Modelling & Software, v. 75, p. 1-14.

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Abstract (from http://www.sciencedirect.com/science/article/pii/S1364815215300621): Process-based forest ecosystem models vary from simple physiological, complex physiological, to hybrid empirical-physiological models. Previous studies indicate that complex models provide the best prediction at plot scale with a temporal extent of less than 10 years, however, it is largely untested as to whether complex models outperform the other two types of models at plot and regional scale in longer timeframe (i.e. decades). We compared model predictions of aboveground carbon by one representative model of each model type (PnET-II, ED2 and LINKAGES v2.2, respectively) with field data (19–77 years) at both scales in the Central Hardwood Forests [...]

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  • National and Regional Climate Adaptation Science Centers
  • Northeast CASC

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citationTypeJournal Article
journalEnvironmental Modelling & Software
parts
typeVolume
value75
typePages
value1-14
typeDOI Number
valuedoi:10.1016/j.envsoft.2015.10.004

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