Spatial simulation method for plant species richness distribution

Abstract

The invention discloses a spatial simulation method for plant species richness distribution. The method is implemented by mainly comprising the three steps of firstly, on the basis of collecting and preprocessing natural reserve plant species data, land utilization/coverage data, annual average biological temperature and precipitation data, DEM data and soil data of a research area, realizing spatial processing and statistical analysis of parameter factors; secondly, establishing optimal equations of correlation between plant species richness and three major habitat factors including a land utilization/coverage area, an environmental factor and a land utilization/coverage type structure index; and finally, realizing comprehensive integration of the optimal correlation equations of the three major factors, constructing the spatial simulation method for the plant species richness, and realizing spatial simulation analysis of the plant species richness. The method not only can realize spatial distribution simulation of the plant species richness in a meso-macro-scale but also has very high simulation precision and very high 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