GUO Feng,HE Jia,CHEN Li-hua,et al.Forest Health Assessment in Typical Natural Secondary Mountain and Stony Forest Communities of Northern China[J].Research of Soil and Water Conservation,2012,19(04):200-203.
华北土石山区典型天然次生林生态系统健康评价研究
- Title:
- Forest Health Assessment in Typical Natural Secondary Mountain and Stony Forest Communities of Northern China
- 分类号:
- S718.5
- 摘要:
- 为客观评价我国华北土石山区天然次生林的健康状况，利用现有资料结合定性分析，确定适合本研究区域的森林生态系统健康评价指标3大类共12个，运用SPSS 19.0统计软件，采用定性与定量相结合的方法对指标进行筛选，确定森林健康评价指标体系，包括结构性指标、功能性指标和抗干扰性指标3大类6个指标，通过层次分析法计算指标权重，并应用评价模型对北沟林场天然次生林100个小班进行森林健康评价。结果表明：北沟林场天然次生林100个小班大部分处于健康状况，面积为29600 m2，占样地总面积的74.0%。因此，还需加大这一地区的森林经营，使森林结构更加具有稳定性、抗干扰性和活力，使其达到健康森林群落的理想结构。
- Abstract:
- In order to objectivily evaluate forest health, typical natural secondary mountain and stony forest communities of northern China was carried out. Based on qualitative analysis of existing data, 12 indices which were divided into 3 categories were determined as the assessment indexes of forest ecosystems health in the study area. Based on the combination of qualitative analysis and quantitative analysis, forest health assessment indicator system was established. The system includes structural indicators, functionality indicators and anti interference indicators. Step analysis method was adopted to confirm the weight of each indicator, 100 subcompartments were assessed by using assessment model for forest health in the study area. Results showed that most of these forest subcompartments were in healthy condition in the study area. The area was 29600 m2, accounting for 74.0% of the sample area. Therefore, feasible measures also should be taken to improve forest management level, to make the forest structure more stable, anti-interference and vigor, and to reach the ideal structure of forest community health.
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备注/Memo
收稿日期:2011-12-14;修回日期:2012-2-24
基金项目:国家林业局林业公益行业科技专项“华北土石山区典型森林生态系统健康维护机制研究”（ 200804022）
作者简介:郭峰（1987- ），男，浙江安吉人，硕士，主要从事水土保持和森林生态研究。E-mail：ka19871107@sina.com。
通讯作者:何佳（1972- ），女，讲师，博士，主要从事景观生态和水土保持工程研究。E-mail：fairy188@bjfu.edu.cn。