基于地统计学的米易县单位面积蓄积空间格局分析Spatial Pattern Analysis of Unit Area Stock in Miyi County Based on Geostatistics
叶光志,魏圣钊,张国先,刘雄,黎学森,黄从德
YE Guang-zhi,WEI Sheng-zhao,ZHANG Guo-xian,LIU Xiong,LI Xue-sen,HUANG Cong-de
摘要(Abstract):
研究森林单位面积蓄积的空间分布可为制定森林管理对策提供参考。本文以四川省米易县为研究对象,运用地统计学方法,结合米易县森林资源规划设计调查数据,对米易县森林单位面积蓄积进行了空间格局分析。结果表明:米易县单位面积蓄积的最适半方差理论模型为指数模型,单位面积蓄积的全局Moron I和Z值分别为0.79和446.71,呈现较强的聚集趋势。此外,米易县单位蓄积块金比为50%,表明其具有中等的空间自相关性,受结构性和随机性双重因素的影响。通过ARCGIS普通克里金插值,绘制出米易县单位面积蓄积的空间分布图。地统计模拟结果表明,米易县平均单位面积蓄积为50.76 m~3·hm~(-2)。全县蓄积总体上呈现出自西向东逐渐降低的规律,与地形、地势变化一致,与人口密度变化相反。研究结果说明,米易县单位蓄积空间分布受自然和人为的共同影响。
The spatial distribution study of forest unit area stock was vital for the development of forest management strategies. The spatial pattern of forest stock per unit area was studied by using geostatistics with the survey data of forest resource planning and design in Miyi county.The results showed that the most suitable semi-variance theoretical model was the exponential model for unit area stock. The global Moron I and Z values of unit area stock were 0.79 and 446.71 respectively, showing a strong trend of aggregation. In addition, the Nugget C_0 of Miyi county's unit area stock was 50%, indicating a moderate spatial autocorrelation, which was affected by both structural and random factors. By the ARCGIS ordinary Kriging interpolation, the spatial distribution map was drawn for forest unit area stock in Miyi county.The results of geostatistics showed that the average unit area stock of was 50.76 m~3·hm~(-2), under a pattern of decreasing from west to east, consistent with changes in topography, and contrary to the changes of population density in Miyi county. These results indicated that the spatial distribution of unit area stock was affected by both natural and human factors in Miyi county.
关键词(KeyWords):
地统计学;单位面积蓄积;空间格局分析
Geostatistics;Unit area stock;Spatial pattern analysis
基金项目(Foundation): 长江上游生态安全协同创新中心开放基金项目
作者(Author):
叶光志,魏圣钊,张国先,刘雄,黎学森,黄从德
YE Guang-zhi,WEI Sheng-zhao,ZHANG Guo-xian,LIU Xiong,LI Xue-sen,HUANG Cong-de
DOI: 10.16779/j.cnki.1003-5508.2019.06.013
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