Estimating and analyzing the spatiotemporal pattern of net primary productivity in Qinba area by combing remote sensing data and BIOME-BGC Model

Abstract

Studying the spatial and temporal changes of NPP in the Qinba area can provide scientific and technological data support for the realization of regional carbon neutrality goals. We use site parameters, geographical conditions monitoring data, MCD43A3 and a series of daily meteorological grid data to simulate daily NPP dataset at a spatial resolution of 500 m× 500 m during 2000-2020. The results show that the spatial distribution of NPP in the ecosystem of the Qinba area is significantly different. The NPP of the eastern part of the Qinba Mountains shows a decreasing trend, while the NPP in the western and southern parts shows an increasing trend. The significantly increased area accounts for 38.71% of the total area. Under the RCP4.5 scenario mode, it is predicted that the NPP in the Qinba Mountains will reach 337 gCm-2a-1 in the next 80 years. However, the positive effects of temperature, precipitation, and CO2 concentration on vegetation growth tend to flatten out in 2060. Climate change after 2060 may have a reverse inhibitory effect on vegetation growth.