Animal group geographical zoning method based on species composition characteristics

Abstract

The invention relates to an animal group geographical zoning method based on species composition characteristics. Geographical zoning is carried out by utilizing the distribution pattern of species. The method is based on a fine grid network, and utilizes species distribution data to establish a spatial distribution binary grid image of each species in a target area. The binary images are fused assingle waveband data to obtain species distribution multispectral data of the target area. A species composition dissimilarity index is established as an inter-grid species difference measurement unit for clustering and grouping to obtain a category to which each grid unit belongs. And finally, an appropriate drawing comprehensive rule is formulated to carry out vectorization display on the grouped grids to obtain a vector-based animal group geographical zoning result graph. According to the method, geographical zoning is carried out by directly utilizing the distribution data of the species,so that compared with the conventional method for carrying out zoning by mainly utilizing environmental factors, the actual geographical zoning of species composition is better reflected, and meanwhile, a basis is provided for carrying out geographical zoning of different levels and different granularities.

Description

technical field [0001] The invention relates to a geographical division method of animal groups based on species composition characteristics. Background technique [0002] Ecological geography division is based on the spatial differentiation of ecosystem structure, function and dynamics in a certain area, which is divided into plots with relatively consistent comprehensive characteristics of ecological factors and potential productivity, so as to provide rational development, utilization and protection of natural resources, and comprehensive agricultural planning. Layout and sustainable development provide data support. [0003] With the continuous expansion of the scale of human social and economic activities, the deep-seated contradiction between the continuously growing demand for resources and the protection of the ecological environment has become increasingly prominent. A series of environmental problems such as excessive exploitation of resources, ecological destruct...

AI Technical Summary

Problems solved by technology

A few zoning methods based on species distribution data often perform subjective division based on extremely simple data such as taxonomic collections of species, lack the support of relevant spatial positioning data, and the results obtained have limitations in terms of scientificity and accuracy, and cannot meet the needs of existing geographic regions. Zoning Research Needs

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