title: [Effects of spatial heterogeneity on spatial extrapolation of sampling plot data].
abstract: By using model combination method, this paper simulated the changes of response variable (tree species distribution area at landscape level under climate change) under three scenarios of environmental spatial heterogeneous level, analyzed the differentiation of simulated results under different scenarios, and discussed the effects of environmental spatial heterogeneity on the larger spatial extrapolation of the tree species responses to climate change observed in sampling plots. For most tree species, spatial heterogeneity had little effects on the extrapolation from plot scale to class scale; for the tree species insensitive to climate warming and the azonal species, spatial heterogeneity also had little effects on the extrapolation from plot-scale to zonal scale. By contrast, for the tree species sensitive to climate warming, spatial heterogeneity had effects on the extrapolation from plot scale to zonal scale, and the effects could be varied under different scenarios.
authors.affiliation: Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China. liangysts@gmail.com
authors.forename: Yu
authors.initials: Y
authors.lastname: Liang
authors.forename: Hong-Shi
authors.initials: HS
authors.lastname: He
authors.forename: Yuan-Man
authors.initials: YM
authors.lastname: Hu
authors.forename: Ren-Cang
authors.initials: RC
authors.lastname: Bu
mesh_terms: D002980:Climate; D017753:Ecosystem; D008962:Models, Theoretical; D012987:Soil / Q000032:analysis*; D062206:Spatial Analysis; D014197:Trees / Q000502:physiology*
chemical_list: D012987:Soil