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作 者:皮小敏 刘晓恒 邓显彬 罗益 周华 Pi Xiaomin;Liu Xiaoheng;Deng Xianbing;Luo Yi;Zhou Hua(Guizhou Institute of Land and Resources Survey and Planning,Guiyang 550001,Guizhou,China)
机构地区:[1]贵州省自然资源勘测规划研究院,贵州贵阳550001
出 处:《山地农业生物学报》2025年第1期8-13,29,共7页Journal of Mountain Agriculture and Biology
基 金:2024年中共贵州省委全面深化改革重大调研项目(G2GGKT2024-039)。
摘 要:在全球化和城市化背景下,耕地资源面临着日益严峻的挑战。黔南州作为喀斯特地区的代表,其耕地资源不仅承载着保障粮食安全的重任,还需应对生态环境脆弱、水土流失等问题的挑战。因此,本研究通过收集整理2009—2019年间黔南州各县(市)耕地资源变化数据和粮食产量数据,采用定性与定量相结合的研究方法,综合运用地理信息系统、统计分析等手段,对黔南州11年间耕地资源的变化情况、空间分布特征以及承载能力进行评估,并借助L_(CC)/L_(CCI)模型,对耕地资源变化与粮食产量之间的空间演变规律进行剖析,深入探讨其背后的影响因素与驱动机制,旨在为以黔南州为代表的喀斯特岩溶区域农业生产的可持续发展提供科学依据和决策支持,促进农业资源的合理利用与有效保护,为推动区域农业高质量发展贡献力量。In the context of globalization and urbanization,cultivated land resources are facing increasingly severe challenges.Qiannan Autonomous Prefecture,as a representative of karst areas,its cultivated land resources not only bear the heavy responsibility of ensuring grain security,but also need to deal with the challenges posed by a fragile ecological environment and soil erosion.Therefore,this paper collected and sorting out the change data of cultivated land resource and grain output data from counties(cities) in Qiannan Autonomous Prefecture from 2009 to 2019 using qualitative and quantitative research methods.It comprehensively applied geographic information systems,statistical analysis,and other means to evaluate changes,spatial distribution characteristics,and carrying capacity of cultivated land resources over the past decade.By means of the L_(CC)/L_(CCI) model,the spatial evolution relationship between cultivated land resource change and grain yield was analyzed,and the influencing factors and driving mechanism behind it were discussed in depth..The aim is to provide a scientific basis for decision-making support for sustainable development of agricultural production in karst regions like Qiannan Autonomous Prefecture,and promote rational utilization and effective protection of agricultural resources,as well as contribute to the high-quality development of regional agriculture.
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