Spatial-temporal change analysis of gross primary productivity of Xilingol grassland based on remote sensing technology

Abstract

As an important part of China's grassland ecosystem, it is crucial to use remote sensing for high-resolution, long-term ecological monitoring and management of the Xilingol Grassland. This study uses Landsat data from May to September for the years 2013 to 2022 to estimate GPP, with a spatial resolution of 30m, and utilizes Slope and F-test methods to discern the spatial-temporal variations of GPP in Xilingol Grassland. The results indicate that over the past decade: 1) The multi-year average GPP value for Xilingol Grassland stands at 458.55 g C•m -2 •year -1 , with high-value areas mainly located in the northeastern and southern parts of the grassland, and low-value areas mainly located in the southwestern region. 2) The inter-annual average changes in GPP in Xilingol Grassland showed a pattern of initial decline followed by an increase. Among them, the highest proportion without significant change is 54.92%. 3) In particular, the meadow grassland mainly shows an increase or no significant change, accounting for 37.28% and 52.82% respectively. The typical grassland mostly shows no significant change, accounting with 61.8%. And desert steppes mainly showed a decreasing trend with 62.83%.