The Climate Data Analysis on the Distribution Area of the Main Forest Species in Northeast China
Based on the climate data of the main forest species such as Larix gmelinii,Betula platyphylla Suk,Picea koraiensis Nakai in Northeast China from 1981 to 1990,characteristics analysis of the related climate data is carried out by using the theory and methods of interval statistics,hierarchical clustering based on fuzzy proximity relations and clustering fusion technology.The results shows that the growth period of the three forest species is May to September and the non growth period of them is January to April and October to December.The conclusion coincides with the biological characteristics and ecological characteristics of the three species.Extracting climatic factors from climate data is critical to the predictive distribution of species.Climatic factors that were used in the past mostly depend on the biological and ecological characteristics of species and the correlation analysis for climatic factors in the distribution area of species.Instead,our methods only depend on climate data in the distribution area of the predictive species entirely,and it is obtained by data mining and data processing.This conclusion will provide basis for the research about the impact of future climate change on the distribution prediction of the forest species in Northeast China.
Species distribution areaForest speciesClimatic factorHierarchical clusteringClustering fusion
NETL
NSTL
万方数据
维普
