安徽林业科技2024,Vol.50Issue(4) :26-30.

大理苍山世界地质公园森林健康评价

Forest Health Assessment of Cangshan World Geopark in Dali City

李建华 陈可心 成雅容 王丽红 李锐华
安徽林业科技2024,Vol.50Issue(4) :26-30.

大理苍山世界地质公园森林健康评价

Forest Health Assessment of Cangshan World Geopark in Dali City

李建华 1陈可心 1成雅容 2王丽红 3李锐华4
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作者信息

  • 1. 云南省林业调查规划院,云南 昆明 650051
  • 2. 保山市农业技术推广中心,云南 保山 678000
  • 3. 大理市林业和草原局,云南 大理 671006
  • 4. 云南农业职业技术学院,云南 昆明 650212
  • 折叠

摘要

基于大理苍山世界地质公园2016年森林资源二类调查数据,从林分生长因子、地形因子、土壤因子、保护状况4个方面共13个指标,采用层次分析法,从森林小班尺度建立森林健康评价指标体系,利用综合指数法对大理苍山世界地质公园森林健康进行评价.结果表明:46.99%的面积被划分为优秀等级,9.65%的面积被归类为良好等级,6.58%的面积被归类为中等等级,5.67%的面积被归类为不良等级,31.10%的面积被归类为退化或丧失状态等级.对于优秀等级的森林,应加强巡护监测和保护;良好和中等等级的森林采取植树造林、土壤保育等恢复措施;不良等级的森林应实施生态修复,防止不良状态蔓延至其他区域;退化等级的森林采取综合治理措施,实现退化森林的修复与再生.

Abstract

In this paper,based on the data from 2016 Forest Resources Class Ⅱ Survey of Cangshan World Geopark in Dali City,a for-est health assessment index system was established at the forest subcompartment level with 13 indexes in 4 aspects including the stand growth factors,topographic factors,soil factors and conservation condition,using the analytic hierarchy process (AHP).The forest health assessment of the geopark was made with the comprehensive index method.The results showed that 46.99% of the geopark area was classified as the excellent grade,9.65% of the area was at the good grade,6.58% was at the medium grade while 5.67% was at the bad grade and 31.10% was in the degradation or lost condition.Patrol,monitoring and conservation should be strengthened for the ex-cellent-grade forests.Restoration measures including afforestation and soil conservation should be adopted for good-grade and medi-um-grade forests while ecological restoration should be implemented for the bad-grade forests to prevent the spread of the poor condi-tions to other areas.Comprehensive management measures should be taken to restore and regenerate the degraded forests.

关键词

大理苍山世界地质公园/森林健康评价/层次分析法/综合指数评价法

Key words

Cangshan World Geopark in Dali City/Forest Health Assessment/Analytic hierarchy process/Comprehensive index assessment method

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出版年

2024
安徽林业科技
安徽省林业科学研究院 安徽省林学会

安徽林业科技

影响因子:0.249
ISSN:2095-0152
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