金沟岭林场森林健康评价  

Forest Health Assessment of Jingouling Forest Farm

作　　者：贾大鹏 王新杰[1] 刘雨 Jia Dapeng;Wang Xinjie;Liu Yu(Beijing Forestry University,Beijing 100083,P.R.China)

机构地区：[1]北京林业大学

出　　处：《东北林业大学学报》2019年第8期47-52,57,共7页Journal of Northeast Forestry University

基　　金：国家重点研发计划(2017YFC050410101)

摘　　要：以金沟岭林场为研究对象,探讨遥感数据与二类调查数据相结合在森林健康评价领域的应用,以期为森林经营提供快速准确的依据。采用层次分析法和熵权法,从水源涵养、生态系统保护、木材生产3方面主导功能的角度,探讨每个小班的森林健康状况,并制作森林健康等级图。结果表明:金沟岭林场森林整体处于健康状态,各健康等级占比依次为优质27.3%、健康69.6%、亚健康2.8%、不健康0.3%;其中水源涵养为主导功能类型的小班,各健康等级占比依次为优质20.7%、健康74.14%、亚健康5.16%;以生态系统保护为主导功能类型的小班,各健康等级占比依次为优质27.12%、健康70.73%、亚健康1.6%、不健康0.55%;以木材生产为主导功能类型的小班,各健康等级占比依次为优质85.13%、健康14.52%、亚健康0.35%。结果可为林场森林健康经营提供一定科学依据。Taking Jingouling Forest Farm as the research object,the application of remote sensing data and second-class survey data in the field of forest health assessment was discussed to provide a fast and accurate basis for forest management.Through the use of analytic hierarchy process and entropy weight method,from the perspective of water source conservation,ecosystem protection,and wood production,the forest health status of each small class was discussed,and the forest health level map was produced.The forests in Jingouling Forest Farm are in a healthy state,and the proportions of health grades are high quality(27.3%),health(69.6%),sub-health(2.8%),and unhealthy(0.3%).The functional type of small class,the proportion of each health level is high quality(20.7%),health(74.14%),and sub-health(5.16%);small class with ecosystem protection as the leading function type,the proportion of each health level is high quality(27.12%),health(70.73%),sub-health(1.6%),and unhealthy(0.55%);small classes with wood production as the leading function type,the proportion of each health level is high quality(85.13%),health(14.52)%),and sub-health(0.35%).

关 键 词：主导功能 植被指数 层次分析法 熵权法 森林健康 

分 类 号：S757.9[农业科学—森林经理学]