A Spatial Simulation Method of Plant Species Richness Distribution

Abstract

The invention discloses a spatial simulation method for the distribution of plant species richness. The implementation of this method mainly includes three steps: First, based on the collection and preprocessing of plant species data, land use / cover data, annual average biological temperature and precipitation data, DEM data and soil data in the study area, Realize the spatial processing and statistical analysis of each parameter factor; secondly, establish the best correlation between plant species richness and land use / cover area, environmental factors and land use / cover type structure index respectively. Finally, realize the comprehensive integration of the best correlation equations of the three types of factors, construct the spatial simulation method of plant species richness, and realize the spatial simulation analysis of plant species richness. This method can not only simulate the spatial distribution of plant species richness on the meso-macro scale, but also has good simulation accuracy and strong operability.

Description

technical field [0001] The method relates to a spatial simulation method for the distribution of plant species richness, and is applicable to the research fields of global change and ecological effects. Background technique [0002] The interaction among habitat factors such as climatic conditions, topography, soil, and land use / cover change determines the spatial distribution pattern of plant species. Plants affect water and soil conservation and the surface element cycle process by intercepting water and nutrient cycling. Their spatial distribution not only directly determines the spatial distribution of materials and energy necessary for the survival of other species, but also determines the species richness of other species to a certain extent. diversity. Therefore, how to construct a spatial simulation method for plant species richness, taking into account climate conditions, topography, soil, land use / cover change and other habitat factors, is not only to quantitative...

AI Technical Summary

Problems solved by technology

However, it mainly focuses on statistical analysis of the relationship between plant species and habitat factors using data such as quadrat sampling and historical observations, and then explains the relationship between plant species richness and habitat factors in the local pattern. Using the GIS spatial analysis method, based on the analysis of the correlation between the discrete plant species observation data and the corresponding habitat factors, there are relatively few studies on the spatial simulation analysis of the distribution of plant species on a regional scale or even a larger scale.

In addition, when considering the relationship between habitat factors and the spatial distribution of plant species, although some studies have selected multiple habitat factors, in the analysis process, the correlation between a single habitat factor and plant species is often counted separately, and there is a lack of systematic analysis. A comprehensive analysis of the relationship between multiple habitat factors and plant species distribution