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基于MO-GA的洞庭湖森林生态系统经营的理想空间结构模型

曹旭鹏1,李建军1,2**,刘帅1,张江1   

  1. 1中南林业科技大学, 长沙 410004; 2中国林业科学研究院资源信息研究所, 北京 100091)
  • 出版日期:2013-12-10 发布日期:2013-12-10

An ideal spatial structure model for forest ecosystem management in Dongting Lake area of China based on MO-GA.

CAO Xu-peng1, LI Jian-jun1,2**, LIU Shuai1, ZHANG Jiang1   

  1. (1College of Computer and Information Engineering, Central South University of Forestry and Technology, Changsha 410004, China; 2Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing 100091, China)
  • Online:2013-12-10 Published:2013-12-10

摘要:

森林生态系统经营的理想空间结构及其表达一直是国内外森林经营研究热点和难点。本研究以洞庭湖湿地森林生态系统为对象,选择混交度、竞争指数、角尺度、大小比数、林层指数、空间密度指数、开阔比数7个因子作为构建森林生态系统理想空间结构模型的多目标函数,将多目标优化转化为遗传种群的遗传进化寻优过程,建立森林空间多目标优化模型。结果表明:针对洞庭湖不同天然次生林群落,优化模型均能输出结构稳定、生态功能完整的森林生态系统经营的理想空间结构(集合),为结构化森林经营提供了优化经营的目标结构及量化标准,对恢复洞庭湖次生林生态功能和健康经营提供了理论依据和技术支撑,为智能信息技术在森林生态系统空间结构优化经营中的应用提供了新的思路。
 

Abstract: The ideal spatial structure of forest ecosystem and its expression is a hotspot and difficulty in forest management research. Taking the Dongting Lake wetland forest ecosystems as the objects, and selecting the mingling degree, competition index, uniform angle index, neighborhood comparison, stand layer index, spatial density index, and openness comparison index as the multi-objective indices, the multi-objective optimization was transformed into the genetic evolutionary optimization process of populations in this paper, and a multi-objective optimization model for forest spatial distribution was established. The model could output an ideal spatial structure (assemblage) with stable structure and complete ecological function for managing the various natural secondary forests in Dongting Lake area, and provide the target structure and quantitative criteria for the optimized operation of structured forest management, the theoretical basis and technical support for the ecological restoration and healthy management of the secondary forests, and a new thinking about the applications of intelligent information technology in the management of spatial structure optimization of forest ecosystems.