1980~2020年安徽省土地利用时空演化特征
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X24

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国家自然科学基金项目(41501226);安徽理工大学人才引进项目(ZY020)


A Study on the Characteristics of Spatio-temporal Evolution of Land Use in Anhui Province from 1980 to 2020
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the National Natural Science Foundation of China(No. 41501226);Talent Introduction Project of Anhui University of Science and Technology(ZY020)

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    摘要:

    为分析安徽省土地利用时空演化特征,以1980、1995、2000、2005、2010、2015、2020年土地利用现状图为基础,利用Sankey图、土地利用动态度等方法分析了安徽省近40年土地利用演变特征;结合Getis-Ord General G聚类方法和多距离空间聚类(Ripleys K函数)方法对安徽省土地利用变化累积量进行了时空模式分析;并基于地理探测器模型分析了多种驱动因子对土地利用变化的单一与交互解释程度。结果表明:(1)1980~2020年安徽省建设用地、草地、水域面积分别增加35.04%、2.44%和0.75%,耕地、林地分别减少4.63%和0.98%;安徽省综合土地利用动态度逐渐增加,建设用地和耕地变化较快,单一动态度最高分别达到3.15%和-0.39%;林地、草地、水域变化较为稳定;(2)1980~2020年安徽省土地利用的剧烈变化具有显著的聚集性,通过K-means聚类可将不同程度的变化较好地分类;土地利用剧烈变化区域聚集特征受观测尺度变化的影响小于平缓变化区域;(3)地理探测结果表明:与人类活动强度密切联系的社会因子(夜间灯光数据、GDP、人口、到城市和主要道路距离等)和地形因子(高程、坡度)以及各因子间交互作用是土地利用变化的重要推动力。

    Abstract:

    In order to analyze the temporal and spatial evolution characteristics of land use in Anhui Province, this study based on the land use status map in 1980, 1995, 2000, 2005, 2010, 2015, and 2020, the evolution characteristics of land use in Anhui Province was analyzed for the past 40 years using Sankey diagrams and land use dynamic; Getis-Ord General G clustering method and multi-distance spatial clustering (Ripleys K function) method have been used to analyze the spatio-temporal pattern of land use change accumulation in Anhui Province; and the degree of single and interactive interpretation of multiple driving factors to land use change have been analyzed based on the geo-detector model. The results showed that: (1) From 1980 to 2020, the area of construction land, grassland, and water area in Anhui Province increased by 35.04%, 2.44%, and 0.75%, and cultivated land and forest land decreased by 4.63% and 0.98%, respectively; The comprehensive dynamic degree of land use has gradually increased, and the rate of change of construction land and cultivated land is relatively fast, with the highest dynamic degree reaching 3.15% and -0.39% respectively, and the change of woodland, grassland and water area is relatively stable; (2) The dramatic changes in land use in Anhui Province from 1980 to 2020 have significant clustering, and K-means clustering can be used to better classify the changes in different degrees; The agglomeration characteristics of areas with drastic changes in land use are less affected by changes in the observational scale than in areas with gentle changes; (3) the results of geographic detection show that: factors closely related to the intensity of human activities include social factors (night light data, GDP, population, distance to cities and major roads, etc.), topographical factors (elevation, slope) and the interaction between the factors are important driving forces for land use change.

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黄安东,赵明松,郜敏,等. 1980~2020年安徽省土地利用时空演化特征[J]. 科学技术与工程, 2022, 22(11): 4627-4635.
Huang Andong, Zhao Mingsong, Gao Min, et al. A Study on the Characteristics of Spatio-temporal Evolution of Land Use in Anhui Province from 1980 to 2020[J]. Science Technology and Engineering,2022,22(11):4627-4635.

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  • 收稿日期:2021-07-22
  • 最后修改日期:2022-01-14
  • 录用日期:2021-12-23
  • 在线发布日期: 2022-04-20
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