Study on Cluster Control Zoning of Disease and Pest Systems Based on Diversity Indicators——Taking the Main Carbon Sink Forest Types,Bamboo Forests,as an Example
The main types of carbon sequestration forest resources in the Nan bamboo forest of Qiandongnan Prefecture were taken as the research object,and the methods of site investigation and sampling were adopted to study the main types of pests and diseases,degree of harm,species diversity,and control zoning of Nan bamboo forest.The results showed that the pest species belong to 8 orders,30 families,and 39 species.There are 12 types of diseases,belonging to 8 orders.There are two serious levels of pest damage,namely bamboo moth and bamboo aphid,with 10 moderate and 27 mild hazards.Among the moderate hazards,the yellow spine bamboo locust poses the greatest potential threat,followed by the bamboo armyworm and the giant bamboo elephant.There are 7-36 types of pests and 3-12 types of diseases in 16 counties throughout the state.The species richness of pests and diseases(S)is higher in the southeastern region of the state than in the northwestern region.The overall trend of the concentration index of pests and diseases(C)gradually decreases from northwest to southeast.The Shannon Wiener diversity index(H')of pests and diseases in the northwest of the state is smaller than that in the southeast,indicating a generally stable level of pest and disease diversity throughout the state.The state has poor resistance to external disturbances and is sensitive to external uncertainties.The distribution of disease and pest species in the entire state is relatively uniform.The Fisher discriminant function model has a 100%accuracy rate in verifying the original classification and cross classification of the clustering results of the prevention and control zoning.The systematic clustering control zoning results based on pest and disease diversity indicators have high accuracy,which can provide reference for improving the health level of bamboo forests in Qiandongnan Prefecture and accurately enhancing forest carbon sequestration capacity.
diseases and pestscarbon sinkdiversity analysiscluster analysisprevention and control zoning
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