遥感植被指数与植物多样性的相关性及空间分布特征研究——以海口市主城区为例 postprint

Abstract: Plant diversity monitoring is an important basis for species conservation and vegetation landscape planning, and it is of great significance for the implementation of priority area protection for biodiversity. Taking the main urban area of Haikou city as an example, this paper analyzed the correlation between vegetation index and the plant diversity index by applying remote sensing data from Landsat 8 and measured data in site, and then further built the mathematical model of remote sensing monitoring for plant diversity and screened out the optimal model that is used to predict the spatial distribution of plant diversity in the study area. The result showed that Shannon-Wiener diversity index, Simpson diversity index and Pielou evenness index had the highest correlation coefficient with MSAVI vegetation index, with a significant correlation (P<0.01). The spatial distribution of plant diversity in Haikou acquired from the unitary linear regression model is consistent with the actual situation. The areas with higher plant diversity were mainly distributed in the volcanic crater, Dongzhai harbor and Yangshan wetland, which have obvious spatial self-correlation. According to results obtained from this research, continual implementation of strict conservation measures, enhancement of ecological restoration and conservation projects, and improvement of vegetation coverage and biodiversity are recommended.