[Spatial-temporal Patterns and Driving Factors of Net Carbon Sink in Planting Industry in the West China Development Area]

Abstract

On the basis of calculating the spatiotemporal pattern changes of net carbon sink in the planting industry in the West China Development Area from 2001 to 2022, the GBR model was used to reveal its key driving factors and nonlinear response mechanisms. The results showed that： ① During the inspection period, the net carbon sink of the planting industry in the West China Development Area （calculated as C） showed an upward trend, but the growth rate gradually slowed, increasing from 125.641 3 million tons in 2001 to 219.106 1 million tons in 2022. ② The high value areas of net carbon sink in the planting industry were mainly in the southwest region, and the number of provinces in the high value range of net carbon sink continued to increase, showing an expanding trend from a few clusters to large-scale clusters. The net carbon sink intensity of planting industry exhibited obvious spatial agglomeration and non-equilibrium characteristics, and the net carbon sink intensity of all provinces gradually decreased during the inspection period. ③ The industrial structure factor had an inverted U-shaped relationship with the net carbon sink of the planting industry. The agricultural production structure, agricultural disaster rate, urban-rural income gap, and urbanization rate factors had a fluctuating inhibitory effect, while other factors had a significant promoting effect. At different periods, the importance of farmland irrigation condition and agricultural mechanization level factors were prominent.

Keywords: GBR model; West China Development Area; driving factors; net carbon sink; planting industry; spatial-temporal patterns.