Analysis of Regional Difference Distribution of Forest Resource Stock Per Unit Area in Hubei Province——Based on Sampling Survey Method of Forest Resources
In order to find out the quality of forest resources and the difference of forest stock per unit area between re-gions in Hubei Province,promote the improvement of forest quality between regions,and provide reference for forest management.The forest resources sampling survey method was applied,taking the forest and grass ecological comprehen-sive monitoring of forest and forest land in Hubei Province as the sampling population,and the sampling points of ground survey were used to measure the unit area stock.The distribution characteristics of stock in the study area were revealed by means of data inspection,central trend,discrete trend,cluster analysis and spatial statistical spatial autocorrelation in the mathematical statistics method.The results showed as follows:(1)The regions with no significant difference in sample data test showed that the development level of forest management was balanced and consistent with the natural environ-ment.(2)The central and discrete trends of stock volume per unit area are the mean＞the median,and the trend distri-bution ranges from the median value to the mean value.The box chart shows the comparison and confidence interval be-tween the mean values of counties and regions.(3)The sampling points present a global spatial positive correlation at a certain scale distance,showing an aggregate distribution,and the central trend of accumulation per unit area is close to the mean and median.(4)Cluster analysis divided the structural similarity or the same type of forest stock distribution.There are large differences in the stock volume per unit area of various regions in Hubei Province,and the central trend value of the data is low,which reflects the shortcomings of forest quality,large space for forest productivity,and the spatial poten-tial of forest quality should be improved and exerted,and the differences in natural regional distribution of resource quality should be fully considered to strengthen forest management measures.
Forest resourcesStorage volume per unit areaDifferentiationHubei Province
NETL
NSTL
万方数据
