SPATIOTEMPORAL EVOLUTION OF CULTIVATED LAND PATTERN AND MULTIDIMENSIONAL DRIVING FORCE MECHANISM IN HEILONGJIANG PROVINCE
Keywords:
Cultivated land pattern, Land use transfer, Driving forces, Geographical detector, Heilongjiang provinceAbstract
To deeply explore the dynamics of cultivated land use and its driving mechanism in Heilongjiang Province, a major grain-producing area in China, this study systematically reveals the spatiotemporal evolution characteristics of the cultivated land pattern in the study area over the past 20 years based on three phases of remote sensing of land use monitoring data (2000, 2010, and 2020) using methods such as land use transfer matrix and spatial analysis. On this basis, a driving force index system including natural factors (elevation, slope, precipitation, farmland production potential) and socioeconomic factors (population density, night-time light) was constructed. The Geographical Detector model was used to quantitatively examine explanatory capacity and interactive effects of each driving driver affecting the spatial heterogeneity of cultivated land changes in two time cross-sections (2000 and 2020). The research aims to clarify the evolution path of the cultivated land utilization pattern and its multidimensional driving force mechanism in Heilongjiang Province, providing a scientific basis for cultivated land protection, regional territorial space optimization, and the implementation of the national food security strategy.References
[1] Sun L, Wei J, Duan D H, et al. Impact of land-use and land-cover change on urban air quality in representative cities of China. Journal of Atmospheric and Solar-Terrestrial Physics, 2016, 142: 43-54.
[2] Zhao Ruifeng, Wang Fuhong, Zhang Lihua, et al. Dynamic of farmland landscape and its socioeconomic driving forces in the middle reaches of the Heihe River. Scientia Geographica Sinica, 2017, 37(6): 920-928.
[3] Wang Shiyu, Liu Xuewei, Liu Qian, et al. Spatiotemporal change analysis of cultivated land resources in Heilongjiang Province from the perspective of food security. Heilongjiang Grain, 2024, (11): 53-55.
[4] Wei Dan, Kuang Enjun, Chi Fengqin, et al. Status and protection strategy of black soil resources in Northeast of China. Heilongjiang Agricultural Sciences, 2016(1): 158-161.
[5] Zhang Qingwei. Deepening agricultural supply-side reform. Heilongjiang Daily, 2019-3-13.
[6] Yan Bo, Hu Wenguo, Zhou Zhujun, et al. A survey on the position of Heilongjiang Province in ensuring national food security and the development direction of the grain industry. China’s Grain Economy, 2019(4): 41-48.
[7] Wang Jinfeng, Xu Chengdong. Geodetector: Principle and prospective. Acta Geographica Sinica, 2017, 72(1): 116-134.
[8] Li Fan, Qiang Wenli, Liu Xiaojie, et al. Spatio-temporal evolution of meat production in China’s counties and its influencing factors. Journal of Natural Resources, 2021, 36(5): 1224-1237.
[9] Zhong Yun, Zhao Beilei, Li Han. Co-agglomeration and spatial similarity: Based on the analysis of manufacturing and producer services in Guangzhou, China. Scientia Geographica Sinica, 2021, 41(3): 437-445.
[10] Guo Fuyou, Tong Lianjun, Qiu Fangdao, et al. Spatiotemporal differentiation characteristics and influencing factors of green development in the eco-economic corridor of the Yellow River Basin. Acta Geographica Sinica, 2021, 76(03): 726-739.