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

干旱区地理 ›› 2017, Vol. 40 ›› Issue (6): 1227-1234.

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

许紫峻¹, 汪溪远¹, 师庆东¹, 张毓涛², 杨健², 陈娇³

1. 新疆绿洲生态重点实验室, 新疆大学干旱生态环境研究所, 新疆大学资源与环境科学学院, 新疆乌鲁木齐 830046;
2. 新疆林业科学院森林生态研究所, 新疆乌鲁木齐 830000;
3. 中国科学院新疆生态与地理研究所, 新疆乌鲁木齐 830046

收稿日期:2017-06-01 修回日期:2017-09-10 出版日期:2017-11-25
通讯作者: 汪溪远(1977-),男,博士,讲师,研究方向为环境科学.E-mail:1076135474@qq.com
作者简介:许紫峻(1993-),男,硕士研究生,研究方向为环境演变和环境修复.E-mail:928608285@qq.com
基金资助:
中央财政林业科技推广示范项目（XJLK2013008）

Analysis and application of spatial relationship of nutrient accumulation in economic forests in Xinjiang based on spatial statistical theory

XU Zi-jun¹, WANG Xi-yuan¹, SHI Qing-dong¹, ZHANG Yu-tao², YAN Jian², CHEN Jiao³

1. Key Laboratory of Xinjiang Oasis Ecology and Ecological Research in Xinjiang University, College of Resources and Environment Science, Xinjiang University, Urumqi 830046, Xinjiang, China;
2. Institute of Forestry Ecology, Xinjiang Academy of Forestry, Urumqi 830000, Xinjiang, China;
3. Xingjiang Institute of Ecology and Geography, China Academy of Sciences, Urumqi 830046, Xinjiang, China

Received:2017-06-01 Revised:2017-09-10 Online:2017-11-25

摘要/Abstract

摘要： 积累营养物质是森林生态服务功能中的重要组成部分，它反映了林木生长情况和生产投入情况。基于2014年新疆七种主要经济林木积累营养物质调查数据，核算了2014年全疆经济林木氮、磷和钾的物质积累总量，折合当年化肥价值3.14×10⁸元。并利用全局空间自相关模型和地理加权模型（GWR）对该结果进行了分析。结果表明：（1）全疆不同经济林品种积累营养物质价值量的空间分布符合空间集聚理论，呈现某种经济林木在某个地区具有高度集中的种植现象；（2）GWR模型分析结果表明经济林在南疆林业中占有重要地位；（3）南疆各地州经济林发展存在明显差异，其中克孜勒苏柯尔克孜自治州、和田地区和喀什地区处在经济林发展期；阿克苏地区和巴音郭楞蒙古自治州则处在经济林衰产期。上述结果表明通过深入挖掘新疆生态服务功能价值信息，能够提取对新疆经济林产业发展规划具有重要参考价值的信息。研究所使用的思路和方法对其他类似研究具有重要的借鉴意义。

关键词: 新疆经济林, 生态服务价值, 空间自相关模型, GWR模型

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 southern 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.

Key words: economic forest in Xinjiang, ecological service value, spatial autocorrelation analysis, geographically weighted regression analysis

中图分类号:

S759.3

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.

XU Zi-jun, WANG Xi-yuan, SHI Qing-dong, ZHANG Yu-tao, YAN Jian, CHEN Jiao. Analysis and application of spatial relationship of nutrient accumulation in economic forests in Xinjiang based on spatial statistical theory[J]. , 2017, 40(6): 1227-1234.

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