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应用生态学报 ›› 2012, Vol. 23 ›› Issue (01): 185-192.

• 研究论文 • 上一篇    下一篇

空间异质性对样地数据空间外推的影响

梁宇1,2,贺红士1 ,胡远满1**,布仁仓1   

  1. 1中国科学院沈阳应用生态研究所, 沈阳 110016;2中国科学院研究生院, 北京 100049
  • 出版日期:2012-01-18 发布日期:2012-01-18

Effects of spatial heterogeneity on spatial extrapolation of sampling plot data. 

LIANG Yu1,2, HE Hong-shi1, HU Yuan-man1, BU Ren-cang1   

  1. 1Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China;2Graduate University of Chinese Academy of Sciences, Beijing 100049, China
  • Online:2012-01-18 Published:2012-01-18

摘要: 应用模型结合的方法模拟了3个空间异质性等级预案下反应变量(气候变化下景观水平的树种分布面积)的变化情况,并分析模拟结果在预案之间的差异性,探讨了环境空间异质性对样地观测到的树种对气候变化响应向更大空间尺度外推的影响.结果表明:空间异质性在一般情况下对样地数据向土地类型尺度外推没有影响,而对样地尺度外推到海拔带尺度的影响则有较复杂的情况.对于对气候变化不敏感的树种以及非地带性树种,空间异质性对样地数据向海拔带尺度外推没有影响;对于大多数对气候变化敏感的地带性树种而言,空间异质性对样地数据向海拔带尺度外推则有影响.

关键词: 气候变化, 森林景观预测, 空间异质性, 空间外推, 尺度, LANDIS, 样地数据

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.

Key words: climate change, forest landscape prediction, spatial heterogeneity, spatial extrapolation, scale, LANDIS, sampling plot data