Study on Landscape Ecological Evaluation Based on Geographic National Conditions Monitoring Datasets

Abstract

In this study, the Yellow River Delta National Nature Reserve is chosen as the research object. The theory of landscape ecology is used to construct the landscape ecological evaluation system. A hierarchical system is suggested for human interference classification; together with other indexes generated from geographic national conditions monitoring datasets, the landscape ecological security index (LESI) is built up. The entropy weight method is introduced to determine the weight of these indexes used in the calculation of LESI. Experiment takes 500m*500m lattice as the spatial analysis unit, uses the geographic national conditions monitoring datasets of year 2015 and 2020 to evaluate the landscape ecological status of the protection zone from spatial and temporal dimensions. Result shows that the landscape ecology status of the Yellow River Delta National Nature Reserve has been greatly improved, the whole region's LESI has reached the safe level in year 2020, and the overall spatial distribution shows a better trend that that in year 2015.