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Study On Multi-functional Evaluation Of Cunninghamia Lanceolata Non-commercial Forest In The South Of China

Posted on:2016-01-10Degree:MasterType:Thesis
Country:ChinaCandidate:X Y XieFull Text:PDF
GTID:2283330470477034Subject:Forest management
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This paper took the Cunninghamia lanceolata ecological public welfare forest of Fushou state-owned forest farm in Hunan province as the study object. The multi function evaluation index system of Cunninghamia lanceolata ecological public welfare forest was established by selecting the index of multi-function under using the inside and outside method, brainstorming and Delphi method. The research evaluated a variety of functions of ecological public welfare forest which combined with the measured data. The goal of studying the multi-function evaluation was to provide some reference for the multi-functional management of Cunninghamia lanceolata ecological public welfare forest. The main conclusions of this study were as follows:(1) By using the inside and outside method, brainstorming and Delphi method, soil and water conservation and water conservation function(Bi), species diversity(B2), carbon sequestration function(B3) and productivity function(B4) was selected as the composition of multi-function in this paper. There are 17 evaluating index selected in multi-function evaluation index system. The soil water holding capacity, soil capillary porosity and soil bulk density were selected into the evaluation of soil and water conservation and water conservation function. The evaluation of species diversity selected five indexes which were Shannon-Wiener evenness, Simpson evenness, species richness, Shannon-Wiener index, Simpson index. Selecting the carbon storage of soil layer, the carbon storage of tree layer, the carbon storage of undergrowth vegetation, litter carbon storage was used to evaluate carbon sequestration function. The productivity function selected forest biomass, vegetation biomass and litter biomass as the evaluation indexes.(2) The soil and water conservation and water conservation function showed a trend that soil water holding capacity and soil porosity reduced first then increased with the age of Cunninghamia lanceolata ecological public welfare forest increased while soil bulk density showed a trend of increased first then decreased. Shannon-Wiener evenness, Simpson evenness, species richness, Simpson index and Shannon-Wiener index in species diversity function increased first then decreased with the age of Cunninghamia lanceolata ecological forest increased. The carbon storage in soil layer of carbon sequestration increased first then decreased with the age of Cunninghamia lanceolata ecological forest increased, and the carbon storage of trees and litter layer increased with age, but the carbon storage of shrub layer and herb layer decreased with Cunninghamia lanceolata ecological forest age increasing. In the productivity function, the biomass in tree layer and litter layer increased gradually along with the age growth and the biomass in shrub layer showed a change of increased first then decreased with the age growth. The biomass of herb layer reduced gradually with the age of Cunninghamia lanceolata ecological forest increased.(3)The evaluation model of ecological public welfare forest multi-function was determined by using the method of analytic hierarchy process to determine the weight of Cunninghamia lanceolata ecological forest evaluation index under combining with replanting etc. to improve the multi functions of ecological public welfare forest measures. It introduced deciduous trees and mixed with Cunninghamia lanceolata to improve the nutrient and moisture status of forestry. The goal of species introduction was to promote healthy growth of Cunninghamia lanceolata, so as to improve multi function of Cunninghamia lanceolata ecological forest and achieve the sustainable management of Cunninghamia lanceolata ecological public welfare forest.
Keywords/Search Tags:Cunninghamia lanceolata non-commercial forest, forest multi-function, evaluation index system, analytic hierarchy process, multi-function evaluation
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