1990—2018年赤水河流域土地利用变化分析

马欢; 冯朝阳; 宋婷; 计伟; 杨娇; 李付杰

doi:10.12153/j.issn.1674-991X.20200144

1990—2018年赤水河流域土地利用变化分析

doi: 10.12153/j.issn.1674-991X.20200144

国家环境保护区域生态过程与功能评估重点实验室,中国环境科学研究院

详细信息

作者简介:
马欢(1992—),女,硕士,主要从事生态环境质量评价与应用等研究,xiaohuan27@163.com

通讯作者:
冯朝阳 E-mail: fengchy@craes.org.cn

计量
- 文章访问数: 482
- HTML全文浏览量: 89
- PDF下载量: 95
- 被引次数: 0
出版历程
- 收稿日期: 2020-06-09
- 刊出日期: 2021-05-20

Study on the characteristics of land use change in Chishui River Basin from 1990 to 2018

State Environmental Protection Key Laboratory of Regional Eco-Process and Function Assessment, Chinese Research Academy of Environmental Sciences

More Information

Corresponding author: FENG Chaoyang E-mail: fengchy@craes.org.cn

摘要

摘要: 土地利用的变化可以直接反映人类活动程度,赤水河作为长江流域上游的重要支流,在共抓长江大保护的时代背景下,掌握其土地利用动态变化有利于土地优化管理和区域可持续发展。利用1990—2018年共7期土地利用数据,根据区域特点,整合水田、旱地、林地、草地、水域、城乡建设用地、未利用地7种土地利用类型,从分布格局、土地利用单一动态度、土地利用转移矩阵方面对赤水河流域土地利用类型的空间分布与时空变化进行分析。结果表明:赤水河流域各土地利用类型面积占比为林地>旱地>水田>草地>城乡建设用地>水域>未利用地,林地分布广泛,集中分布在赤水河流域下游,旱地多分布在流域上游,水田多分布在流域下游,草地和城乡建设用地多沿河谷分布;各土地利用类型动态度变化随时间逐渐升高,其中草地、城乡建设用地在2015—2018年动态度变化明显提高;受退耕还林政策的影响,林地与旱地间的转化较多,且2006—2015年转化程度高于1990—2000年,而2006—2015年、2015—2018年草地、城乡建设用地与其他土地利用类型间的转化明显增多。赤水河流域GDP总量增长速率逐年升高,与城乡建设用地增长速率相比,2015—2018年有所减缓,城乡建设用地单位面积经济产出逐年降低,土地利用效率有待提高。
- 土地利用 /
- 赤水河流域 /
- 动态度 /
- 转移矩阵
Abstract: Changes of land use can directly reflect the extent of human activities. The Chishui River is an important tributary of the upper reaches of Yangtze River Basin. In the context of the great protection of the Yangtze River, mastering the dynamic changes of land use is conducive to land optimization management and regional sustainable development. Based on the land use data of seven periods from 1990 to 2018, and according to the regional characteristics, seven land use types, i.e. paddy field, dry land, forest land, grassland, water area, urban and rural construction land, and unused land were integrated to analyze the spatial distribution and temporal and spatial changes of land use types in Chishui River Basin in terms of distribution pattern, single dynamic degree of land use, and land use transfer matrix. The results showed that the area proportions of land use types in Chishui River Basin was in the order of forest land> dry land> paddy field> grassland> urban and rural construction land> water area> unused land. The forest land was widely distributed, mainly concentrated in the lower reaches of Chishui River Basin. Dry lands were mostly distributed in the upper reaches of the basin, and paddy fields were mostly distributed in the lower reaches of the basin. Grassland and urban and rural construction land were mostly distributed along the river valley. The dynamic degree of each land use type gradually increased over time. The dynamic changes of grassland, urban and rural construction land increased significantly from 2015 to 2018. Affected by the policy of returning farmland to forest, there has been more conversion between forest land and dry land, and the degree of conversion in 2006-2015 was higher than that in 1990-2000. The conversion of grassland, urban and rural construction land and other land use types increased significantly in 2006-2015 and 2015-2018. The total GDP growth rate of Chishui River Basin had been increasing year by year and, compared with the growth rate of urban and rural construction land, it had slowed down from 2015 to 2018. The economic output per unit of construction land area had been decreasing year by year, so the land use efficiency needed to be improved.
- land use /
- Chishui River Basin /
- dynamic attitude /
- transfer matrix

HTML全文

参考文献(23)

[1]	VERBURG P H, OVERMARS K P, HUIGEN M G A, et al. Analysis of the effects of land use change on protected areas in the Philippines[J]. Applied Geography, 2006, 26(2):153-173. doi: 10.1016/j.apgeog.2005.11.005
[2]	MORAN E, OJIMA D S, BUCHMANN B, et al. Global land project:science plan and implementation strategy[M]. Stockholm: IGBP Secretariat, 2005.
[3]	刘纪远, 匡文慧, 张增祥, 等. 20世纪80年代末以来中国土地利用变化的基本特征与空间格局[J]. 地理学报, 2014, 69(1):3-14. LIU J Y, KUANG W H, ZHANG Z X, et al. Spatiotemporal characteristics,patterns and causes of land use changes in China since the late 1980s[J]. Acta Geographica Sinica, 2014, 69(1):3-14.
[4]	LAMBIN E F, EHRLICH D. Land-cover changes in sub-Saharan Africa (1982-1991):application of a change index based on remotely sensed surface temperature and vegetation indices at a continental scale[J]. Remote Sensing of Environment,1997, 61(2):181-200. doi: 10.1016/S0034-4257(97)00001-1
[5]	TUMER Ⅱ B L, SKOLE D, SANDERSON S, et al. Land-use and land cover change: Science/Research Plan[R]. Stockholm and Geneva:the International Council of Scientific Unions(ICSU) and the International Social Science Council(ISSC), 1995:61-78.
[6]	杜金龙, 朱记伟, 解建仓, 等. 基于GIS的城市土地利用研究进展[J]. 国土资源遥感, 2018, 30(3):9-17. DU J L, ZHU J W, XIE J C, et al. An overview of urban land use research based on GIS[J]. Remote Sensing for Land & Resources, 2018, 30(3):9-17.
[7]	廖慧, 舒章康, 金君良, 等. 1980—2015年黄河流域土地利用变化特征与驱动力[J]. 南水北调与水利科技, 2021, 19(1):129-139. LIAO H, SHU Z K, JIN J L, et al. Study on the characteristics and driving forces of land use change in the Yellow River Basin from 1980 to 2015[J]. South-to-North Water Transfers and Water Science & Technology,2021, 19(1):129-139.
[8]	蒋晓辉, 高昊祺, 雷宇昕. 近40年来窟野河流域土地利用类型变化及驱动因素[J]. 南水北调与水利科技, 2020, 18(4):17-38. JIANG X H, GAO H Q, LEI Y X. Changes and driving factors of land use types in Kuye River Basin in recent 40 years[J]. South-to-North Water Transfers and Water Science & Technology, 2020, 18(4):17-38.
[9]	王明常, 郭鑫, 王凤艳, 等. 基于FLUS的长春市土地利用动态变化与预测分析[J]. 吉林大学学报(地球科学版), 2019, 49(6):1795-1804. WANG M C, GUO X, WANG F Y, et al. Dynamic change and predictive analysis of land use types in Changchun City based on FLUS model[J]. Journal of Jilin University (Earth Science Edition), 2019, 49(6):1795-1804.
[10]	傅伯杰, 陈利顶, 马克明. 黄土丘陵区小流域土地利用变化对生态环境的影响:以延安市羊圈沟流域为例[J]. 地理学报, 1999, 54(3):241-246. doi: 10.11821/xb199903006 pmid: AF58C112-E4A8-4117-BB3D-B0769EC28081 FU B J, CHEN L D, MA K M. The effect of land use change on the regional environment in the Yangjuangou Catchment in the loess plateau of China[J]. Acta Geographica Sinica, 1999, 54(3):241-246. doi: 10.11821/xb199903006 pmid: AF58C112-E4A8-4117-BB3D-B0769EC28081
[11]	LIU J Y, LIU M L, ZHUANG D F, et al. Study on spatial pattern of land-use change in China during 1995-2000 [J]. Science in China Series D:Earth Sciences,2003, 46(4):373-384.
[12]	李威, 陈杰, 李璐, 等. 1980—2015年长江流域土地利用变化分析[J]. 人民长江, 2020, 51(2):49-57. LI W, CHEN J, LI L, et al. Land use changes in Yangtze River Basin from 1980 to 2015[J]. Yangtze River,2020, 51(2):49-57.
[13]	伍星, 沈珍瑶, 刘瑞民. 长江上游土地利用/覆被变化特征及其驱动力分析[J]. 北京师范大学学报(自然科学版), 2007, 43(4):461-465. WU X, SHEN Z Y, LIU R M. An analysis on the land use/cover change characteristics and driving forces in the upper reaches of Yangtze River[J]. Journal of Beijing Normal University (Natural Science), 2007, 43(4):461-465.
[14]	杨旭, 刘志武, 武昊. 长江上游及清江流域土地覆被变化分析[J]. 人民长江, 2019, 50(2):90-94,121. YANG X, LIU Z W, WU H. Analysis of land cover change in Upper Yangtze River and Qingjiang River Basins[J]. Yangtze River, 2019, 50(2):90-94,121.
[15]	何寿奎. 长江经济带环境治理与绿色发展协同机制及政策体系研究[J]. 当代经济管理, 2019, 41(8):57-63. HE S K. A study on the coordination mechanism and policy system of environmental governance and green development in the Yangtze River economic belt[J]. Contemporary Economic Management, 2019, 41(8):57-63.
[16]	王磊, 刘亭亭, 谢建治. 基于SWAT模型的张家口清水河流域土地利用情景变化对径流影响研究[J]. 水土保持研究, 2019, 26(4):245-251. WANG L, LIU T T, XIE J Z. Study on the effect of different land use scenarios on runoff in Qingshuihe Basin of Zhangjiakou based on SWAT model[J]. Research of Soil and Water Conservation, 2019, 26(4):245-251.
[17]	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[J]. 自然资源学报, 2019, 34(2):274-287. doi: 10.31497/zrzyxb.20190205 ZHANG R, WANG Y M, CHANG J X, et al. Response of land use change to human activities in the Yellow River Basin based on water resources division[J]. Journal of Natural Resources, 2019, 34(2):274-287. doi: 10.31497/zrzyxb.20190205
[18]	刘瑞, 朱道林. 基于转移矩阵的土地利用变化信息挖掘方法探讨[J]. 资源科学, 2010, 32(8):1544-1550. LIU R, ZHU D L. Methods for detecting land use changes based on the land use transition matrix[J]. Resources Science, 2010, 32(8):1544-1550.
[19]	张丽, 杨国范, 刘吉平. 1986—2012年抚顺市土地利用动态变化及热点分析[J]. 地理科学, 2014, 34(2):185-191. doi: 10.13249/j.cnki.sgs.2014.02.185 pmid: B7FB0DBB-DD09-41AF-8A63-BBF6C5DB67A2 ZHANG L, YANG G F, LIU J P. The dynamic changes and hot spots of land use in Fushun City from 1986 to 2012[J]. Scientia Geographica Sinica,2014, 34(2):185-191. doi: 10.13249/j.cnki.sgs.2014.02.185 pmid: B7FB0DBB-DD09-41AF-8A63-BBF6C5DB67A2
[20]	张聪, 安艳玲, 蔡宏. 赤水河流域土地利用/覆被变化与生态环境效应[J]. 贵州农业科学, 2014, 42(4):211-215. ZHANG C, AN Y L, CAI H. Land use/land cover change and its environmental effects in Chishui River Basin[J]. Guizhou Agricultural Sciences, 2014, 42(4):211-215.
[21]	黄兴成, 李渝, 蒋太明, 等. 贵州赤水河流域植被指数时空变异研究[J]. 西南大学学报(自然科学版), 2020, 42(3):139-145. HUANG X C, LI Y, JIANG T M, et al. Spatio-temporal variations of vegetation index in the Chishui River Basin[J]. Journal of Southwest University (Natural Science Edition), 2020, 42(3):139-145.
[22]	田义超, 白晓永, 黄远林, 等. 基于生态系统服务价值的赤水河流域生态补偿标准核算[J]. 农业机械学报, 2019, 50(11):312-322. TIAN Y C, BAI X Y, HUANG Y L, et al. Ecological compensation standard accounting of Chishui River Basin based on ecosystem service value[J]. Transactions of the Chinese Society for Agricultural Machinery, 2019, 50(11):312-322.
[23]	张哲, 倪贺伟, 王维, 等. 长江流域不同尺度岸带区域的土地利用及其变化[J]. 环境工程技术学报, 2017, 7(4):500-508. ZHANG Z, NI H W, WANG W, et al. Land use and change of riparian zone at different scales in the Yangtze River Basin[J]. Journal of Environmental Engineering Technology, 2017, 7(4):500-508.