title: [Spatial heterogeneity of grassland pattern under grazing and forage condition].
abstract: Spatial heterogeneity and spatial autocorrelation of grassland pattern under grazing and forage condition were studied using semivariance analysis and fractal method. The results indicate that vegetation patterns are scale-dependent. Spatial heterogeneity and spatial autocorrelation of foraged grassland are more complex than grazed grassland and have more scale regions which determined by different fractal characteristics. Spatial autocorrelation of species diversity on foraged grassland was weaker, in another word, gradient of species diversity(beta-diversity) was smaller. Spatial heterogeneity of grazed grassland was simplified by grazing, because topographical variation was partly wiped out.
authors.affiliation: Institute of Natural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081. xxpmail.caas.net.cn
authors.forename: Xiaoping
authors.initials: X
authors.lastname: Xin
authors.forename: Xianglin
authors.initials: X
authors.lastname: Li
authors.forename: Guixia
authors.initials: G
authors.lastname: Yang
authors.forename: Bin
authors.initials: B
authors.lastname: Xu
mesh_terms: D002681:China; D017753:Ecosystem; D017709:Fractals; D006109:Poaceae / Q000502:physiology*; D013223:Statistics as Topic