基于复杂网络的森林健康评价研究  

Forest health assessment based on complex network

作　　者：谭三清[1] 王湘衡[1] 肖维[1] 张盛[1] 

机构地区：[1]中南林业科技大学理学院,湖南长沙410004

出　　处：《中南林业科技大学学报》2015年第8期13-16,22,共5页Journal of Central South University of Forestry & Technology

基　　金：广州数字林业及大树名木保护系统建设项目(GZIT2010-ZB0533)

摘　　要：为了揭示森林生态系统健康状况的发展规律,本研究构建了森林健康评价指标体系,采用复杂网络和综合指数法对森林健康状况进行了评价分析。以广州市大岭山林场216个小班为例,把优势树种和龄组相同的相邻小班合并成景观斑块,构建了小班网络、景观斑块网络,并计算出不同尺度的健康指数。结果表明:小班尺度,优质、健康、亚健康、不健康、病态小班分别是139个、44个、20个、11个、2个;景观斑块尺度,优质、健康、亚健康、不健康、病态景观斑块分别占总面积的75.57%、10.68%、10.13%、2.86%、0.76%;区域尺度,整个区域的森林健康指数为78.62,森林健康等级为健康。研究结果可为森林可持续经营提供科学依据。In order to reveal the law of development of forest ecosystem health. The indexes system for forest health evaluation was constructed. Based on the system, the forest health status was analyzed and evaluated by using of complex network and integrate index method. The Two hundred and sixteen Sub-compartments of Dalingshan Forest Farm in Guangzhou were taken as the example plots, of them, the sub-compartments with same species and same age groups were merged into landscape patches, and the sub-compartment network and landscape patches network were formed thus the health indexes of different scales were calculated. The results show that in sub-compartment scale, the sub-compartment numbers of high-quality sub-compartment, healthy sub-compartments, sub-health sub-compartments, unhealthy sub-compartments, sick sub-compartments were 139, 44, 20, 11, 2 respectively; In landscape patches scale, the percentages of high-quality landscape patches, health landscape patches, sub-health landscape patches, unhealthy landscape patches, sick landscape patches accounted for 75.57%, 10.68%, 10.13%, 2.86%, 0.76% respectively; In regional scale, the health index of the entire region was 78.62 and so the forest is in health condition. The results provide a scientiifc basis for sustainable forest management.

关 键 词：森林健康评价 景观斑块 复杂网络 综合指数法 

分 类 号：S758.8[农业科学—森林经理学]