SUN Bo, WU Yuke, YAN Baibing, et al. Spatiotemporal variations and impacts on cultivated land resources in Huaihe Eco-Economic Belt during 1990-2020[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2023, 39(23): 247-258. DOI: 10.11975/j.issn.1002-6819.202308020
    Citation: SUN Bo, WU Yuke, YAN Baibing, et al. Spatiotemporal variations and impacts on cultivated land resources in Huaihe Eco-Economic Belt during 1990-2020[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2023, 39(23): 247-258. DOI: 10.11975/j.issn.1002-6819.202308020

    Spatiotemporal variations and impacts on cultivated land resources in Huaihe Eco-Economic Belt during 1990-2020

    • Cultivated land is the foundational resource for grain production, particularly for the food security, ecological safety, as well as the economic and social stability. Therefore, it is crucial to explore the spatiotemporal distribution and driving mechanisms of cultivated land in the major grain-producing regions. Taking the Huaihe Eco-Economic Belt (HHEEB) as this research subject, this study aims to investigate the spatiotemporal distribution and driving mechanisms of cultivated land resources from 1990 to 2020. Remote sensing imagery data was also collected over the past 30 years. Firstly, four periods were divided for the remote sensing image data of land use in 1990, 2000, 2010, and 2020. Arcgis software was used to reclassify 25 second-level into the six first-level land categories. Spatial Analyst function was utilized to statistically analyze the quantity of cultivated land resources at varying scales, and then further analyze the temporal changes and transfer paths of cultivated land resources; Secondly, GeoDa spatial analysis software was also combined to clarify the spatial agglomeration of cultivated land resources; The land use data was overlaid for 1990 and 2020, according to the spatial variation in the cultivated land area at the urban scale. Further exploration was conducted on the spatial changes of farmland resources. 14 driving factors were selected from four aspects: natural driving force, environmental tolerance, agricultural productivity, and economic development. The driving mechanism of cultivated land resources was explored for the factor and interactive detection in the geographical detector; Finally, the FLUS model was used to optimize the allocation of cultivated land resources under both the natural development and protection scenario of cultivated land in 2030. The results show that: 1) The land use structure of the HHEEB was predominantly characterized by the cultivated land, with an average of 68.70% of the total area. Notably, the proportion of dryland was consistently exceeded that of paddy fields, with 71.81% of the annual average cultivated land area. There was the significant reduction in the cultivated land area over the past three decades, with a staggering decrease of 8.63×105hm2 and an average annual reduction of 2.88×104hm2. This decline was largely attributable to the loss of dryland, which was constituted 81.69% of the overall reduction in the cultivated land. The encroachment of construction land was identified as the primary source of cultivated land loss in the region. 2) The spatial exploration was also performed on the agglomeration of farmland resources. Distinct features were observed with the aggregation distribution divided by the Huaihe River, indicating the typical distribution pattern of southeast paddy fields and northwest dryland. 3) The factor detection showed that the leading driving factors of cultivated land resource distribution included the social driving forces, such as agricultural mechanization level, grain yield, and POP. There was the relatively stable driving force in each element of ecological driving force on the cultivated land resources. The interaction detection show that the pairwise interactions among factors in the agricultural productivity were generally greater than those in the ecological driving forces and the interactions within agricultural productivity. Agricultural productivity was consistently played a dominant role in the spatiotemporal changes of farmland resources. 4) The cultivated land area was projected to decrease by 101 011 hm2, if the natural development scenario was remained by 2030. However, the scenario cultivated land protection can be expected to offer the promising outlook with the significant increase of 529 309 hm2 in the cultivated land area. It is envisaged on the reclaimed cultivation in the hilly and mountainous areas, the parts of sparse forest and low-coverage grassland in the Tongbai-Funiu Mountains under the proactive protection scenario. Some suggestions can also propose to consider the potential development of coastal waters along the eastern coast for the construction purposes. In addition, it can be expected to reduce the fragmentation of construction land for the high utilization efficiency of agricultural land in the central region. The spatiotemporal variations in the arable land resources can provide a strong reference for the decision-making on the national food security.
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