天然草地合理载畜量是反映草地合理利用强度的基本单位。为提高草地合理载畜量的划分精度,根据“极大似然逼近原理”,创建了异质因子控制下的“线性回归+区域化值残差修正”数据空间化方法。以全国草地资源调查汇总数据中县域理论载畜量和1∶400万中国草地资源图为基础数据,采用分省控制构建了理论载畜量与植被类型-生产力异质植被斑块的线性回归模型,其判定系数由全国模型下的0.867提高到0.937,拟合优势度较高,所获得的中国公里格网草地合理载畜量分布图空间化精度也较高。中国公里格网草地合理载畜量分布图不仅表明了不同类草地因生产力的不同有不同的放牧要求,也体现了不同环境条件下草地载畜能力的差别,有效反映了单位面积内草地植被载畜-生产力水平,为生态治理和草地资源保育工作中合理制定草地利用强度提供了理论参考。%Reasonable carrying capacity of grassland is a fundamental measure for maintaining proper utiliza-tion of grassland resources.In order to improve the accuracy in estimating the reasonable carrying capacity,the‘Maximum Likelihood Estimate’modeling method was used to develop a ‘multi-variable linear return analysis& residual correction’approach based on the heterogeneous variables.The calculated carrying capacity for coun-ties obtained from the Chinese Grassland Resources Survey and the 1∶4000000 Grassland Resource Map were used as the data source for modeling analyses.A linear regression model was developed to simulate the carrying capacity for different provinces by using vegetation type and heterogeneous plant production as independent var-iables.This method not only significantly improved the coefficient of determination from 0.867 of the national model to 0.937 of current model,but also improved the accuracy of the national reasonable carrying capacity map.The outcomes from this study provided indication on the stocking rate and productivity of per land area for different grassland types,which can be used to facilitate the decision making in grassland management.
展开▼
