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杨凌示范区土地利用变化时空特征及趋势预测

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杨凌示范区作为农业高新技术示范城市,土地的高效利用和优化配置是更好发挥现代农业发展示范作用的前提,因此,分析杨凌示范区土地利用现状及存在问题,能够为其未来的土地利用规划提供重要参考.本研究基于杨凌示范区2000年、2010年、2020年3期Landsat遥感数据,通过分析获得示范区土地利用空间分布,利用土地利用信息熵、单一动态度、转移矩阵等定量指标,分析研究区2000-2020年土地利用变化特征.结合2000-2020年社会统计资料,定性分析土地利用动态变化的驱动因素.通过建立CA-Markov模型,预测示范区2030年、2040年的土地利用变化.结果表明:①2000-2020年杨凌示范区耕地面积显著减少,建设用地及植被面积明显增加;②土地利用类型的转移方向多样,主要为耕地向建设用地、植被方向转变,各地类景观在空间分布上趋于均衡,城市协调发展;③土地利用变化的主要驱动力为人口、生产总值和示范区土地利用总体规划;④未来20年间,杨凌示范区的土地利用变化不明显,城市地类景观格局稳定.
Spatio-temporal characteristics and trend prediction of land-use change in Yangling Demonstration Zone
As an agricultural high-tech demonstration city,high-efficient land-use in Yangling Demonstration Zone is the prerequisite for playing an exemplary role of modern agricultural devel-opment.Therefore,the study of current land-use status and existing issues in Yangling Demon-stration Zone could provide a critical reference for the future land-use planning.In this study,the spatial distribution patterns of land-use types in Yangling Demonstration Zone were obtained by analyzing Landsat data in 2000,2010 and 2020.The spatio-temporal characteristics from 2000 to 2020 were analyzed by quantitative indicators,such as land-use information entropy,single dy-namic degree and transfer matrix.The social statistical data from 2000 to 2020 were collected to qualitatively analyze the driving factors of land-use changes.The CA-Markov model was estab-lished to predict the land-use changes in the study area in 2030 and 2040.The results showed that:① the area of cropland in Yangling decreased significantly from 2000 to 2020,with the area of building land and vegetation increasing;② the conversion of land-use types was diverse,and the majority changes were cropland to building land and vegetation.The spatial distribution of landscape types became more balanced,indicating a harmonized development of Yangling;③ the main driving forces of land-use change were population,gross product and overall plan for land use in demonstration zone;④ the land-use changes in the Yangling Demonstration Zone over the next 20 years will be less significant and indicate a stable landscape pattern.

land-usedynamic analysisCA-Markov modeldriving factorsYangling Demon-stration Zone

郭冰倩、赵选、刘伟国

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西北农林科技大学林学院,陕西杨凌 712100

自然资源部第一地理信息制图院(陕西省第六测绘地理信息工程院),陕西西安 710054

土地利用 动态分析 CA-Markov模型 驱动因素 杨凌示范区

国家自然科学基金资助项目

41901247

2024

西安理工大学学报
西安理工大学

西安理工大学学报

CSTPCD北大核心
影响因子:0.382
ISSN:1006-4710
年,卷(期):2024.40(2)
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