干旱区地理2017，Vol.40Issue(6)：1227-1234,8.
基于空间统计理论的新疆各地州经济林营养物质积累空间关系特征分析及应用
Analysis and application of spatial relationship of nutrient accumulation in economic forests in Xinjiang based on spatial statistical theory
摘要
Abstract
The value evaluation about the ecosystem services of Economic forest is one of the problems that the international and domestic scholars focus on.As an important component of the ecosystem services,directly reflects the growth status of trees.Based on the nutritive ingredients accumulation of seven major economic forests in Xinjiang in 2014,the total material accumulation of nitrogen,phosphorus and potassium in economic forest of Xinjiang is calculated,which is equivalent to 3.14 × 108 Yuan.After analyzing the data by spatial statistical methods,it is concluded that as follows:(1) The value of the nutrients that are accumulated by different economic forests in Xinjiang was consistent with the theory of spatial agglomeration,which shows that there is a concentrated planting phenomenon in a certain economic forest.(2) GWR model analysis shows that economic forest occupies an important position in forest industry in southem Xinjiang.(3) There are obvious differences in the development of economic forests in southern Xinjiang.The economic forests in Kizilsu Kirgiz Autonomous Prefecture,Hotan and Kashi Prefectures are in the period development.While the economic forests in Aksu and Bayingolin Mongol Autonomous Prefecture are in decline.The above results show by studying the ecological service function,important reference information can be extracted for the development of the economic forest industry in Xinjiang.The ideas and methods used in the research also can make sense to other related studies.关键词
新疆经济林/生态服务价值/空间自相关模型/GWR模型Key words
economic forest in Xinjiang/ecological service value/spatial autocorrelation analysis/geographically weighted regression analysis分类
农业科技引用本文复制引用
许紫峻,汪溪远,师庆东,张毓涛,杨健,陈娇..基于空间统计理论的新疆各地州经济林营养物质积累空间关系特征分析及应用[J].干旱区地理,2017,40(6):1227-1234,8.基金项目
中央财政林业科技推广示范项目(XJLK2013008) （XJLK2013008）
