基于地统计分析的马尾松立地指数预估  

Estimation of Pinus massoniana Index Based on Geostatistical Spatial Analysis

作　　者：李成 唐代生 贾剑波 LI Cheng;TANG Daisheng;JIA Jianbo(College of Forestry,Central South University of Forestry&Technology,Changsha 410004,China;Key Laboratory of Soil and Water Conservation and Desertification Combating,Ministry of Education,Changsha 410004,China;National Engineering Laboratory for Applied Forest Ecological Technology,Central South University of Forestry&Technology,Changsha 410004,China)

机构地区：[1]中南林业科技大学林学院,长沙410004 [2]水土保持与荒漠化防治湖南省高等学校重点实验室,长沙410004 [3]南方林业生态应用技术国家工程实验室,长沙410004

出　　处：《林业资源管理》2023年第3期128-133,共6页Forest Resources Management

基　　金：国家自然科学基金项目(41807162);湖南省自然科学基金项目(2019JJ50994)。

摘　　要：基于重庆市森林专项调查中81块100 m^(2)样圆中优势木的解析数据,利用非线性回归方法计算马尾松立地指数,基于地统计分析方法,选择优选半变异函数模型对立地指数进行空间插值预估,分析马尾松立地指数空间分布并找出适宜种植马尾松的区域。研究结果表明:优选树木生长模型为Richards模型,选定的导向曲线数学模型为H=141.898×[1-exp(-0.0006×t)]0.6661。拟合结果表明:高斯模型为优选变异函数模型,研究区马尾松变异函数块金值与基台值的比值为20.9%,小于25%,研究区马尾松立地指数具有较强的空间自相关性,可以使用空间插值预测立地指数;研究区中部地区以及东北部地区都具有较高的立地指数,立地指数大于9.5的地区占70%以上,这与研究区的平均海拔、土壤类型、平均降水量有密切关系。Based on the analytical data of 81 blocks of 100m’sample circles in the special forest survey of Chongqing,the nonlinear regression method was used to calculate the Pinus massoniana standing index,and based on the geostatistical analysis method,the optimal variogram model was selected for spatial interpolation estimation of the ground index,and the spatial distribution of the Pinus massoniana Standing Index was analyzed and the areas suitable for planting Pinus massoniana were identified.The preferred tree growth model is the Richards model,and the final mathematical model of the guide curve is H=141.898×[1-exp(-0.0006 xt)0.61,The fiting results show that the Gaussian model is a preferred variogram model,and the ratio of gold value to the base value of Pinus massoniana variogram in the study area is 20.9%,which is less than 25%,indicating that the Pinus massoniana standing index in the study area has a strong degree of spatial correlation Spatial autocorrelation and spatial interpolation can be used to predict the ground index.The central region of the study area and the northeastern region had high site indexes.The area with a site index greater than 10.43 accounted for a large part,which was closely related to the average altitude,soil type and average precipitation in the study area.

关 键 词：马尾松 变异函数 非线性回归 普通克里金插值 立地指数 块金值 基台值 

分 类 号：S791.248[农业科学—林木遗传育种] S758[农业科学—林学]