基于改进PSO的洞庭湖水源涵养林空间优化模型  

A space optimization model of water resource conservation forest in Dongting Lake based on improved PSO

作　　者：李建军[1,2] 张会儒[1] 刘帅[2] 邝祝芳[2] 王传立[2] 臧颢[2] 曹旭鹏[2] 

机构地区：[1]中国林业科学研究院资源信息研究所,北京100091 [2]中南林业科技大学,长沙410004

出　　处：《生态学报》2013年第13期4031-4040,共10页Acta Ecologica Sinica

基　　金：林业公益性行业科研专项经费项目(201004002);国家自然科学基金(31070568);湖南省自然科学基金重点项目(10JJ2022);湖南省教育厅重点科研项目(11A128);长沙市科技计划资助项目(k1106201-11)

摘　　要：以结构化森林经营思想为理论基础,从与水源林涵养水源、保持水土功能密切相关的林分物种组成(树种混交)、种内及种间竞争、空间分布格局、垂直结构4个方面选择混交度、竞争指数、角尺度、林层指数、空间密度指数、开阔比数作为水源林健康经营和林分空间结构优化的目标函数,建立洞庭湖水源林林分多目标空间优化模型,应用改进的群智能粒子群算法求解林分空间结构优化模型,并针对模型输出的目标树空间结构单元制定周密的经营策略。研究结果表明,优化模型能准确定位林分空间关系的薄弱环节,调控措施能显著改善林分空间结构,有利于促进森林生态系统的正向演替,为恢复洞庭湖水源林生态功能和健康经营提供理论依据和技术支撑。应用优化模型进行水源涵养林健康经营突破了传统森林经营模式,为智能信息技术在森林空间经营中的应用提供了新的思路。Forest spatial structure plays an important role in the health and stability of forests,so studying the spatial structure and analyzing the adjustment strategy of Dongting Lake water conservation forest has very important theoretical and practical significance for the restoration of the Dongting Lake forest ecosystem.This research was based on the theoretical principles that underlie structure-based forest management.We established a forest spatial structure optimization model to study the regulation structure and control strategy of the Dongting Lake water conservation forest using the search features of a particle swarm algorithm,and we combined the multi-objective optimization of water conservation forest spatial structure with the Particle Swarm Optimization（PSO）algorithm.Four important aspects of forest stand spatial structure are species composition,intraspecific and interspecific competition,spatial distribution pattern and vertical structure.A number of measures related to these aspects including the degree of mingling,competition index,uniform angle index,stand layer index,spatial density index and open comparison index were selected as the objective functions for water conservation forest health management and optimization of forest spatial structure.In this paper,the entire stand was mapped to the goals solution space of the particle groups and each individual tree was used as a solution in the PSO space.This was done to translate the stand space optimization problem into an optimization process.A PSO optimization algorithm was used that iteratively improved a fitness function,based on the multi-objective function,to identify the optimum solution to the stand spatial structure model.Based on the output of this model,we developed a business strategy for the target tree space structure unit.Based on an analysis of 10 block fixed sample case studies from Changde Hefu national forest park,Taoyuan Guniu mountain,Huangshi,Longtang and the Shejiaping area to the west of Dongting Lake,the research results

关 键 词：洞庭湖水源涵养林 林分空间结构 多目标优化 粒子群优化 森林健康经营 

分 类 号：S727.21[农业科学—林木遗传育种]