采用2004年、2010年和2015年分辨率均为2.5 m的SPOT等遥感影像和社会经济数据,创建200 m×200 m网格的微空间单元,计算单元网格内地类面积占比、土地利用程度综合指数,并结合双变量局部空间自相关和热点分析法,深入研究岩溶峡谷区土地利用结构演变特征。结果表明:(1)2004年林地、耕地、聚落和裸岩裸土网格内平均占比分别为6.46%、11.76%、0.87%、28.86%,2010年分别为10.36%、8.77%、1.27%、27.13%,2015年分别为9.13%、10.30%、26.18%、1.29%;(2)各种土地利用类型在空间分布上具有明显的空间差异特征;(3)耕地热点区呈减少趋势,且后期主要集中在研究区西南部,林地热点区总体增加,裸岩裸土极热点区逐渐向研究区东北部收缩。而近几年土地利用程度热点区逐渐向研究区西北部延伸,花椒林则主要分布于北部干热河谷地带。简而言之,花江峡谷区林地面积增加,且逐渐向集中连片演变,而裸岩地逐渐向峡谷区北部以及东北部收缩,研究区农户生计多样化发展及交通条件的改善,使得土地压力减小,生态环境逐渐转好。本文以典型岩溶地貌单元为代表,揭示中国西南岩溶山地的土地利用演变规律及内部差异性,对研究更大尺度土地利用演变特征与规律具有重要意义。
Abstract
This paper examines the evolution characteristics of the land use structure in karst valley areas on the basis of remote sensing images SPOT with a resolution of 2.5 m and their corresponding socio-economic data in the years of 2004, 2010 and 2015. This study is also conducted by creating a microspatial unit of 200 m×200 m grid to calculate the composite index of the area proportion and land use degree in the inner part of the cell grid, in combination of bivariate local space autocorrelation and hot spot analysis. It is concluded that: (1) The average proportions of forest land, cultivated land, settlements and bare rock in grids in 2004 were 6.46%, 11.76%, 0.87%, and 28.86%, respectively; in 2010, they were 10.36%, 8.77%, 1.27%, and 27.13%, respectively; in 2015, they were 9.13%, 10.30%, 26.18%, and 1.29%, respectively. (2) Various land use types have obvious spatial differences in terms of spatial distribution. (3) Cultivated land hot spot showed a decreasing trend, and later focused on the southwestern part of the study area, the total hot spot area of the forest increased, and the hot spot of bare rock gradually shrank to the northeast of the study area. In recent years, the hot spot area of land use gradually extended to the northwest of the study area, and the Zanthoxylum Bungeanum forest was mainly distributed in the northern dry-hot valley. In short, the area of forest land in the Huajiang valley area increased, and it gradually evolved into concentrated contiguous areas, while the bare rocky land gradually shrank to the north and northeast of the valley area. The diversified development of farmers' livelihoods and the improvement of traffic conditions in the study area reduced land pressure and gradually improved the ecological environment. This paper, taking typical karst geomorphic units as case study areas, reveals the law of land use evolution and its internal differences in karst mountainous areas of Southwest China, which is of great significance to the research on the characteristics and law of land use evolution on a larger scale.
关键词
土地利用 /
空间自相关 /
格网 /
热点分析 /
花江峡谷区
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Key words
Huajiang valley area /
land use /
spatial autocorrelation /
hot spot analysis /
grid
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参考文献
[1] 刘冰晶, 杨艳昭, 李依. 北方农牧交错带土地利用结构特征定量研究. 干旱区资源与环境, 2018, 32(6): 64-71.
[LIU B J, YANG Y Z, LI Y.Quantitative study on the characteristics of land use structure in the ecotone of agriculture and animal husbandry in Northern China. Journal of Arid Land Resources and Environment, 2018, 32(6): 64-71.]
[2] 王晓娇, 陈英, 齐鹏, 等. 土地利用结构动态演变及预测研究: 以张掖市为例. 干旱区资源与环境, 2012, 26(4): 86-91.
[WANG X J, CHEN Y, QI P, et al.Dynamic evolution and prediction of land use structure: Taking Zhangye city as an example. Journal of Arid Land Resources and Environment, 2012, 26(4): 86-91.]
[3] 范辉. 发达地区土地利用结构变化定量分析: 以浙江省慈溪市为例. 信阳师范学院学报: 自然科学版, 2018, 31(4): 599-605.
[FAN H.Quantitative analysis of land use structure change in developed areas: A case study of Cixi city, Zhejiang province. Journal of Xinyang Normal University: Natural Science Edition, 2018, 31(4): 599-605.]
[4] NING J, LIU J Y, KUANG W H, et al.Spatiotemporal patterns and characteristics of land-use change in China during 2010-2015. Journal of Geographical Sciences, 2018, 28(5): 547-562.
[5] 王玉明, 王瑞康. 城市化时期郊区土地利用结构信息熵上升的原因. 地理学报, 2018, 73(9): 1647-1657.
[WANG Y M, WANG R K.Reasons for the increase of information entropy of land use structure in suburbs during urbanization. Acta Geographica Sinica, 2018, 73(9): 1647-1657.]
[6] 张静静, 朱文博, 赵芳, 等. 山地平原过渡带地形起伏特征及其对景观格局的影响: 以太行山淇河流域为例. 中国科学: 地球科学, 2018, 48(4): 476-486.
[ZHANG J J, ZHU W B, ZHAO F, et al.Characteristics of topographic relief in the transition zone of mountain plains and its impact on landscape pattern: Taking the Taihangshan Qihe River Basin as an example. Scientia Sinica Terrae, 2018, 48(4): 476-486.]
[7] 宋戈, 王盼盼. 松嫩高平原县域土地利用空间格局地形梯度特征分析: 以巴彦县为例. 地理科学, 2017, 37(8): 1218-1225.
[SONG G, WANG P P.Spatial pattern of land use along the terrain gradient of county in Songnen High Plain: A case study of Bayan county. Scientia Geographica Sinica, 2017, 37(8): 1218-1225.]
[8] 谢臻, 张凤荣, 高阳, 等. 基于遥感和GIS 的平原和山区贫困县农村耕地利用演变对比. 农业工程学报, 2018, 34(15): 255-263.
[XIE Z, ZHANG F R, GAO Y, et al.Comparison of rural cultivated land use in rural and mountainous poverty-stricken counties based on remote sensing and GIS. Transactions of the CSAE, 2018, 34(15): 255-263.]
[9] 郭椿阳, 高建华, 樊鹏飞, 等. 基于格网尺度的永城市土地利用转型研究与热点探测. 中国土地科学, 2016, 30(4): 43-51.
[GUO C Y, GAO J H, FAN P F, et al.Research on land use transformation and hot spot detection in Yongcheng city based on grid scale. China Land Science, 2016, 30(4): 43-51.]
[10] 侯孟阳, 姚顺波, 邓元杰, 等. 格网尺度下延安市生态服务价值时空演变格局与分异特征: 基于退耕还林工程的实施背景. 自然资源学报, 2019, 34(3): 539-552.
[HOU M Y, YAO S B, DENG Y J, et al.Spatio-temporal evolution pattern and differentiation characteristics of ecological service value in Yan'an city based on grid scale-Based on the implementation background of Returning farmland to forest project. Journal of Natural Resources, 2019, 34(3): 539-552.]
[11] 高凯, 周志翔, 杨玉萍. 长江流域土地利用结构及其空间自相关分析. 长江流域资源与环境, 2010, 19(s1): 13-20.
[GAO K, ZHOU Z X, YANG Y P.Analysis of land use structure and spatial autocorrelation in the Yangtze River Basin. Resources and Environment in the Yangtze Basin, 2010, 19(s1): 13-20.]
[12] 王群, 王万茂. 中国大陆地区土地利用结构研究进展. 中国土地科学, 2015, 29(8): 10-15.
[WANG Q, WANG W M.Research progress in land use structure in mainland China. China Land Science, 2015, 29(8): 10-15.]
[13] 罗光杰, 王世杰, 李阳兵, 等. 岩溶地区坡耕地时空动态变化及其生态服务功能评估. 农业工程学报, 2014, 30(11): 233-243.
[LUO G J, WANG S J, LI Y B, et al.Temporal and spatial dynamics of sloping farmland in karst area and assessment of its ecological service function. Transactions of the CSAE, 2014, 30(11): 233-243.]
[14] 张颖, 赵宇鸾. 黔桂岩溶山区土地利用程度演变的空间分异特征. 水土保持研究, 2018, 25(1): 287-297.
[ZHANG Y, ZHAO Y N.Spatial differentiation characteristics of land use degree evolution in Karst Mountain Area of Guizhou province. Research of Soil and Water Conservation, 2018, 25(1): 287-297.]
[15] 秦罗义, 白晓永, 王世杰, 等. 近40年来贵州普定典型喀斯特高原景观格局变化. 生态学杂志, 2014, 33(12): 3349-3357.
[QIN L Y, BAI X Y, WANG S J, et al.Changes in landscape pattern of typical karst plateau in Puding, Guizhou in the past 40 years. Chinese Journal of Ecology, 2014, 33(12): 3349-3357.]
[16] 张婷, 侍昊, 徐雁南, 等. 退耕还林对喀斯特地区土地利用景观格局影响的定量化评价. 北京林业大学学报, 2015, 37(3): 34-43.
[ZHANG T, SHI H, XU Y N, et al.Quantitative evaluation of the effects of returning farmland to forests on land use landscape patterns in Karst Regions. Journal of Beijing Forestry University, 2015, 37(3): 34-43.]
[17] 王欢, 高江波, 侯文娟. 基于地理探测器的喀斯特不同地貌形态类型区土壤侵蚀定量归因. 地理学报, 2018, 73(9): 1674-1686.
[WANG H, GAO J B, HOU W J.Quantitative attribution of soil erosion in different morphological types of karst based on geographic detectors. Acta Geographica Sinica, 2018, 73(9): 1674-1686.]
[18] 彭睿文, 罗娅, 陈起伟, 等. 石漠化治理区小尺度土地利用变化及其驱动机制分析: 以花江石漠化治理区为例. 长江流域资源与环境, 2017, 26(12): 2073-2082.
[PENG R W, LUO Y, CHEN Q W, et al.Analysis of small-scale land use change and its driving mechanism in rocky desertification control area: Taking Huajiang Rock Desertification Control Area as an example. Resources and Environment in the Yangtze Basin, 2017, 26(12): 2073-2082.]
[19] 罗娅, 熊康宁, 李永垚, 等. 石漠化治理区土地利用变化安全性评价: 以花江、红枫湖、鸭池石漠化治理区为例. 自然资源学报, 2019, 34(3): 600-612.
[LUO Y, XIONG K N, LI Y Y, et al.Safety evaluation of land use change in rocky desertification control area: Taking Huajiang, Hongfeng Lake and Yachi rocky desertification control areas as examples. Journal of Natural Resources, 2019, 34(3): 600-612.]
[20] 冉晨, 白晓永, 谭秋, 等. 典型喀斯特地区石漠化景观格局对土地利用变化的响应. 生态学报, 2018, 38(24): 8901-8910.
[RAN C, BAI X Y, TAN Q, et al.The response of rocky desertification landscape pattern to land use change in a typical karst area. Acta Ecologica Sinica, 2018, 38(24): 8901-8910.]
[21] TONG X W, MARTIN B, YUE Y M, et al.Increased vegetation growth and carbon stock in China karst via ecological engineering. Nature Sustainability, 2018, 1: 44-50.
[22] MACIAS-FAURIA M.Satellite images show China going green. Nature, 2018, 553(7689): 411-413.
[23] 万将军, 邓伟, 张继飞, 等. 中国西南喀斯特山区国土空间利用变化的人文驱动框架构建. 中国岩溶, 2018, 37(6): 859-865.
[WAN J J, DENG W, ZHANG J F, et al.Construction of humanistic driving framework for the change of land use in the karst mountainous area of Southwest China. Carsologica Sinica, 2018, 37(6): 859-865.]
[24] 王国杰, 廖善刚. 土地利用强度变化的空间异质性研究. 应用生态学报, 2006, (4): 4611-4614.
[WANG G J, LIAO S G.Spatial heterogeneity of land use intensity change. Chinese Journal of Applied Ecology, 2006, (4): 4611-4614.]
[25] 敖登高娃, 李跃进, 兀良哈·巴雅尔. 脆弱草原带农牧交错区村域尺度土地利用结构定量分析. 农业工程学报, 2017, 33(6): 222-231.
[AODENG G W, LI Y J, WULIANGHA B Y E. Quantitative analysis of land use structure at the village scale in fragile grassland with agro-pastoral zone. Transactions of the CASE, 2017, 33(6): 222-231.]
[26] 彭建, 刘志聪, 刘焱序, 等. 京津冀地区县域耕地景观多功能性评价. 生态学报, 2016, 36(8): 2274-2285.
[PENG J, LIU Z C, LIU Y X, et al.Multifunctional evaluation of cultivated land landscape in county area of Beijing-Tianjin-Hebei Region. Acta Ecologica Sinica, 2016, 36(8): 2274-2285.]
[27] 高凤杰, 单培明, 马泉来, 等. 黑土耕作区土壤含水量空间自相关及农业生产分区. 自然资源学报, 2017, 32(11): 1930-1941.
[GAO F J, SHAN P M, MA Q L, et al.Study on spatial autocorrelation of soil water content and agricultural production division in black soil cultivation area. Journal of Natural Resources, 2017, 32(11): 1930-1941.]
[28] 张冉, 王义民, 畅建霞, 等. 基于水资源分区的黄河流域土地利用变化对人类活动的响应. 自然资源学报, 2019, 34(2): 274-287.
[ZHANG R, WANG Y M, CHANG J X, et al.Response of land use change in the Yellow River Basin to human activities based on water resources division. Journal of Natural Resources, 2019, 34(2): 274-287.]
[29] 孔令桥, 张路, 郑华, 等. 长江流域生态系统格局演变及驱动力. 生态学报, 2018, 38(3): 741-749.
[KONG L Q, ZHANG L, ZHENG H, et al.Evolution and driving force of ecosystem pattern in the Yangtze River Basin. Acta Ecologica Sinica, 2018, 38(3): 741-749.]
[30] 李阳兵, 罗光杰, 白晓永, 等. 典型峰丛洼地耕地、聚落及其与喀斯特石漠化的相互关系: 案例研究. 生态学报, 2014, 34(9): 2195-2207.
[LI Y B, LUO G J, BAI X Y, et al.Typical clusters of cultivated land, settlements and their relationship with karst rocky desertification: Case study. Acta Ecologica Sinica, 2014, 34(9): 2195-2207.]
[31] CHEN C, PARK T, WANG X H, et al.China and India lead in greening of the world through land-use management. Nature Sustainability, 2019, 2: 122-129.
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脚注
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基金
国家重点研发计划项目(2016YFC0502300); 国家自然科学基金项目(41661020)
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