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中国省域人工造林成效动态综合评价及影响因素分析

梅浩*   

  1. (国家林业和草原局中南调查规划设计院, 长沙 410014)
  • 出版日期:2019-12-10 发布日期:2019-12-10

Dynamic comprehensive evaluation and influencing factors of afforestation efficiency at province scale in China.

MEI Hao*   

  1. (Central South Inventory and Planning Institute of National Forestry and Grassland Administration, Changsha 410014, China).
  • Online:2019-12-10 Published:2019-12-10

摘要: 随着生态文明建设的不断推进,人工造林作为国土绿化的重要手段发挥着越来越重要的作用,造林成效的好坏直接影响到生态文明建设的成效。基于全国营造林综合核查数据,运用“纵横向拉开档次法”,计算了中国30个省2004—2011年度人工造林成效综合指数,并对人工造林成效影响因素进行分析。结果表明:在30个省中,有9个省人工造林成效较好,有8个省人工造林成效较差;从地理分区上看,华南、华东、华中地区人工造林成效较好,东北、华北、西北地区人工造林成效较差;对人工造林当年合格情况而言,影响最大的是气象灾害,其次为立地条件,均为客观影响因素;对人工造林3年后保存情况而言,影响最大的是气象灾害和人为有害干扰,其次为管理问题和立地条件的影响。人为有害干扰和管理问题等主观影响因素呈上升趋势。

关键词: 生态脆弱性, 经济贫困, 连片特困区, 耦合度, 耦合协调度, 胡焕庸线

Abstract: With constantly advancing construction of ecological civilization, afforestation, as an important means of land greening, is playing an increasingly important role. Afforestation efficiency exerts direct effect on the efficiency of ecological civilization construction. Based on the comprehensive verification data of national afforestation, vertical and horizontal deviation maximization method was used to calculate composite index of afforestation efficiency from 2004 to 2011 in 30 provinces of China. We further analyzed the factors influencing afforestation efficiency. The results showed that among the 30 provinces, afforestation efficiency was optimistic in nine provinces and poor in eight provinces. Geographically, efficiency in South, East and Central China was good, compared to inferior in the Northeast, North and Northwest parts. With respect to the current year qualification rate of afforestation, the greatest influencing factors were meteorological disasters, followed by site conditions. Both factors were objective factors. As for 3-year preservation of afforestation, the major influencing factors were meteorological disasters and artificial harmful interference, followed by management problems and site conditions. Effects of subjective influencing factors, including artificial harmful interference and management problems, were on the rise.

Key words: ecological vulnerability, coupling coordinated degree, contiguous destitute area, economic poverty, coupling degree, HuLine (Hu Population Line).