基于复杂网络的森林健康评价研究

发布时间：2018-01-09 21:55

本文关键词：基于复杂网络的森林健康评价研究　出处：《中南林业科技大学学报》2015年08期 　论文类型：期刊论文

【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。
[Abstract]:In order to reveal the development law of forest ecosystem health, the index system of forest health evaluation was constructed. The health status of forest was evaluated and analyzed by using complex network and comprehensive index method. Taking 216 small classes in Daling Mountain Forest Farm in Guangzhou as an example, the adjacent small classes with the same dominant tree species and age groups were combined to form landscape patches. Small class network, landscape patch network, and calculate the different scales of health index. The results show that: small class scale, quality, health, sub-health, unhealthy, sick small classes are 139, 44 respectively. 20, 11, 2; Landscape patch scale, quality, health, sub-health, unhealthy, sick landscape patches accounted for 75.57 of the total area, respectively, 10.68 and 10.13, 2.86 and 0.76; On the regional scale, the forest health index of the whole region is 78.62, and the forest health grade is health. The results can provide scientific basis for sustainable forest management.
【作者单位】：中南林业科技大学理学院;
【基金】：广州数字林业及大树名木保护系统建设项目(GZIT2010-ZB0533)
【分类号】：S718.557
【正文快照】： 森林健康是指森林具有较好的自我调节并保持其生态系统稳定性的能力,健康的森林能够充分地持续发挥其生态、社会和经济效益[1]。如何客观评价森林的健康性,有效地进行森林经营,使森林资源能够持续、稳定地为人类提供服务功能,是森林可持续经营的首要任务之一[2]。国内外已经有

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