PDF Download

[1]LIU Qiang,WEI Feihong,XIA Xue,et al.Landscape Pattern Evolution and Driving Forces of Land Use in Kuye River Basin from 1980 to 2020[J].Research of Soil and Water Conservation,2023,30(05):335-341.[doi:10.13869/j.cnki.rswc.2023.05.029.]

Copy

Landscape Pattern Evolution and Driving Forces of Land Use in Kuye River Basin from 1980 to 2020

Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume: 30 Number of periods: 2023 05 Page number: 335-341 Column: Public date: 2023-08-10

Title:: Landscape Pattern Evolution and Driving Forces of Land Use in Kuye River Basin from 1980 to 2020

Author(s):: LIU Qiang^1,2, WEI Feihong^1,3, XIA Xue¹, ZHANG Mingyue¹, WANG Xinmin¹, MU Xingmin², XU Dehua⁴; (1.College of Resources and Environmental Engineering, Tianshui Normal University, Tianshui, Gansu 741000, China; 2.State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau, Institute of Soil and Water Conservation, CAS & MWR, Yangling, Shaanxi 712100, China; 3.School of Earth Science, East China University of Technology, Nanchang 330013, China; 4.School of Geography Science, Taiyuan Normal University, Jinzhong, Shanxi 030619, China)

Keywords:: middle reaches of the Yellow River; Kuye River Basin; climate change; landscape pattern; driving force

CLC:: P901

DOI:: 10.13869/j.cnki.rswc.2023.05.029.

Abstract:: [Objective] This study aims to explore the evolution process and driving factors of land use landscape in Kuye River Basin from 1980 to 2020, and to provide reference for the management and high-quality development of ecosystem in the whole Yellow River Basin. [Methods] Landsat series remote sensing data were selected as the data source, and the characteristics of land use landscape pattern change in the Kuoye River Basin were analyzed by landscape ecology and GIS spatial analysis. Combined with climate data and socioeconomic data, the driving factors of land use landscape pattern evolution in Kuye River Basin were discussed. [Results] The cultivated land area in the Kuye River Basin decreased from 1 677.92 km² in 1980 to 1 365.58 km² in 2020. The grassland area decreased from 5 144.35 km² in 1980 to 5 038.97 km² in 2020. The forestland area and construction land area increased by 86.07 km² and 798.96 km², respectively, while the water area and unused land area decreased by 60.25 km² and 408.72 km², respectively. From 1980 to 2020, the transfer of land use types was mainly from unused land to arable land and grassland, accounting for 8.63% and 61.47% of the reduction of unused land area. Arable land, grassland and unused land transferred to construction land accounted for 23.07%, 50.98% and 10.95% of the increase of construction land area, and the intensity of land use type transfer from 2000 to 2020 was higher than that from 1980 to 2000. The landscape patches in the watershed showed the characteristics of increasing the number of patches, decreasing the degree of connectedness, increasing the degree of fragmentation, increasing the degree of segmentation, decreasing the degree of cohesion and increasing the complexity. [Conclusion] Climate change and human activities are both the influencing factors of landscape pattern evolution in Kuye River Basin, among which the increasing human activities are the main factor promoting landscape pattern evolution, while climate change is the secondary factor.

References:: [1] 申红彬,曹兵,吴华莉,等.黄河下游水沙关系模型参数随河段距离变化规律[J].地理学报,2022,77(3):635-649.
[2] Guo Q, Su N, Yang Y, et al. Using hydrological simulation to identify contribution of coal mining to runoff change in the Kuye river basin, China[J]. Water Resources, 2017,44(4):586-594.
[3] Zhou Y, Yang Z, Zhang D, et al. Inter-catchment comparison of flow regime between the Hailiutu and Huangfuchuan rivers in the semi-arid Erdos Plateau, Northwest China[J]. International Association of Scientific Hydrology Bulletin, 2015,60(4):688-705.
[4] 刘强,蔡学娅,刘君怡,等.黄河中游窟野河流域水沙关系变化特征及其成因分析[J].水土保持研究,2022,29(4):68-74.
[5] 顾朝军,穆兴民,孙文义,等.极端暴雨洪水及侵蚀产沙对延河流域植被恢复响应的比较研究[J].自然资源学报,2017,32(10):1755-1767.
[6] 宁怡楠,杨晓楠,孙文义,等.黄河中游河龙区间径流量变化趋势及其归因[J].自然资源学报,2021,36(1):256-269.
[7] Hou S Z, Wang P, Quo Y, et al. Response of bankfull discharge of the Inner Mongolia Yellow River to flow and sediment factors[J]. Journal of Earth System Science, 2014,123(6):1307-1316.
[8] 魏静,刘丽丽,王红云,等.1990—2020年太行山区土地利用景观格局时空变化[J].中国生态农业学报:中英文,2022,30(7):1123-1133.
[9] 王颖慧,丁建丽,李晓航,等.伊犁河流域土地利用/覆被变化对生态系统服务价值的影响:基于强度分析模型[J].生态学报,2022,42(8):3106-3118.
[10] 刘根林,闫冰,赵东升,等.2003—2018年瑞兴于地区土地利用景观格局时空演变及驱动因[J].水土保持研究,2022,29(3):235-243.
[11] 张华玉,秦年秀,汪军能,等.广西海岸带土地利用时空格局及其驱动因子[J].水土保持研究,2022,29(3):367-374.
[12] 王波,潘琨.1980—2018年银川市景观格局与生态安全分析[J].兰州大学学报:自然科学版,2022,58(1):27-38.
[13] 叶书朝,冯徽徽,邹滨,等.近40年洞庭湖区地表景观演变及气候潜在响应特征[J].环境监测管理与技术,2021,33(4):13-18.
[14] 汪红,刘兴明,赵传燕,等.基于面向对象的RF算法白水江自然保护区土地利用及景观格局时空演变特征分析[J].兰州大学学报:自然科学版,2021,57(4):427-436,446.
[15] 刘强,穆兴民,赵广举,等.延河流域水沙变化及其对降水和土地利用变化的响应[J].干旱区资源与环境,2021,35(7):129-135.
[16] 刘蓓蕾,李鹏,杨媛媛,等.皇甫川流域水沙变化对景观格局的响应[J].水土保持研究,2021,28(5):102-107,120.
[17] 胡琳,李思悦.不同空间尺度土地利用结构与景观格局对龙川江流域水质的影响[J].生态环境学报,2021,30(7):1470-1481.
[18] 杨阳,唐晓岚,李哲惠,等.长江流域土地利用景观格局时空演变及驱动因子:以2008—2018年为例[J].西北林学院学报,2021,36(2):220-230.
[19] 刘强,尉飞鸿,常康飞,等.皇甫川流域水沙变化特征及其影响因素[J].干旱区研究,2021,38(6):1506-1513.
[20] 杨强强,徐光来,杨先成,等.青弋江流域土地利用/景观格局对水质的影响[J].生态学报,2020,40(24):9048-9058.
[21] 刘盼盼,肖华,陈浒.毕节市撒拉溪示范区石漠化治理景观格局的时空演变特征[J].西南农业学报,2020,33(10):2316-2324.
[22] 宁启蒙,欧阳海燕,汤放华,等.土地利用变化影响下洞庭湖地区景观格局的时空演变[J].经济地理,2020,40(9):196-203.
[23] 李明珍,李阳兵,冉彩虹.土地利用转型背景下的乡村景观格局演变响应:基于草堂溪流域的样带分析[J].自然资源学报,2020,35(9):2283-2298.
[24] 燕守广,李辉,李海东,等.基于土地利用与景观格局的生态保护红线生态系统健康评价方法:以南京市为例[J].自然资源学报,2020,35(5):1109-1118.
[25] 薛晓玉,王晓云,段含明,等.基于土地利用变化的祁连山地区生境质量时空演变分析[J].水土保持通报,2020,40(2):278-284,325.
[26] 李敏,唐剑锋,赵方凯,等.典型城郊土地利用格局对水体抗生素的影响研究[J].环境科学学报,2020,40(3):880-889.
[27] 王童,何海,吴志勇.近30年来窟野河流域土地利用与植被覆盖度变化分析[J].水电能源科学,2017,35(11):127-130,83.
[28] 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:中英文,2020,18(4):17-38.

Similar References:

Memo

Last Update: 2023-08-10