Spatio-temporal variation and influencing factors of water conservationfunction in Gansu Province
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X171

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    Abstract:

    [Objective]Gansu Province is an important water conservation and ecological security barrier area in western China, whose research on the water conservation service function is strategic for ensuring the regional ecological security and sustainable development.[Methods] Here, the dynamic changes of water conservation in the temporal and spatial scale in Gansu Province from 2001 to 2023 were quantitatively evaluated using the InVEST model, and the influencing factors of the water conservation service function were analyzed using the geographic detector.[Results] (1) The average water conservation in Gansu Province from 2001 to 2023 was 9.24 mm, and the water conservation fluctuated little in the different periods. The change of the water conservation was consistent with the precipitation and water yield, and showed an upward trend and then a downward trend. The overall distribution pattern of water conservation in the province was lower in the northwest and higher in the southeast.(2) From 2001 to 2023, the average water conservation capacity of different land use types in Gansu Province was ranked as cultivated land, grass land, forest land, urban construction land, unused land, and water area.(3)Precipitation was the most important driver for the change of water conservation in Gansu Province, and the interactions between precipitation and evapotranspiration, land use type, and elevation, respectively, had the most significant influence on the spatial difference of the water conservation service function in Gansu Province. The results showed that the change of the water conservation function in Gansu Province was mainly influenced by climate factors and human activities.[Conclusion] This study will provide scientific basis for quantitative evaluation and objective understanding of water conservation function in Gansu Province, and also provide a valuable reference for the regional water resource management decision and water conservation function restoration.

    Reference
    [1] 吕一河, 胡健, 孙飞翔,等. 水源涵养与水文调节:和而不同的陆地生态系统水文服务[J].生态学报, 2015, 35(15):5191-5196.
    [2] WANG Y C, ZHAO J, FU J W, et al. Effects of the Grain for Green Program on the water ecosystem services in an arid area of China-using the Shiyang River Basin as an example[J].Ecological Indicators, 2019, 104: 659-668.
    [3] 谢余初, 巩杰, 齐姗姗, 等. 基于InVEST 模型的白龙江流域水源供给服务时空分异[J].自然资源学报, 2017, 32(8): 1337-1347.
    [4] HOYER R, CHANG H. Assessment of freshwater ecosystem services in the Tualatin and Yamhill basins under climate change and urbanization[J].Applied Geogtaphy, 2014, 53: 402-416.
    [5] NELSO E, MENDOZA C, REGETZ J, et al. Modeling multiple ecosystem services, biodiversity conservation, commodity production, and tradeoffs at landspcape scales[J].Frontiers in Ecology the Environment, 2009, 7(1):4-11.
    [6] 王尧, 徐佩, 傅斌, 等. 森林生态系统水源涵养功能评估模型研究进展[J].生态经济, 2018, 34(2): 158-164,169.
    [7] PESSACG N, FLAHERTY S, BRANDIZI L, et al. Getting water right: A case study in water yield modelling based on preciptation data[J]. Science of the Total Enviromment, 2015, 537: 225-234.
    [8] 刘菊, 傅斌, 张成虎, 等. 基于InVEST 模型的岷江上游生态系统水源涵养量与价值评估[J].长江流域资源与环境, 2019, 28(3): 577-585.
    [9] 杨洁, 谢保鹏, 张德罡. 基于InVEST模型的黄河流域产水量时空变化及其对降水和土地利用变化的响应[J].应用生态学报, 2020, 31(8):2731-2739.
    [10] 张媛媛.1980-2005年三江源区水源涵养生态系统服务功能评估分析[D].北京:首都师范大学, 2012.
    [11] 李青.基于InVEST模型辽宁省生态系统水源涵养服务功能研究[D].辽宁:辽宁师范大学, 2022.
    [12] 李莹莹, 马晓双, 祁国华, 等.基于参数本地化InVEST模型的安徽省水源涵养功能研究[J].长江流域资源与环境, 2022, 31(2): 313-325.
    [13] 张爱萍.甘肃省湿地资源及其特征[J].甘肃林业, 2023,3(3): 40-41.
    [14] 赵阳, 王飞,齐瑞, 等.白龙江、洮河林区5种典型森林枯落物与土壤层水源涵养效应[J].水土保持通报, 2021, 28(3): 118-125.
    [15] 孙于卜, 欧晓彬, 陈轲林,等.黄土高原子午岭油松林枯落物的水源涵养功能评价[J].水土保持通报, 2022, 42(3):8-15.
    [16] 郑诚蔚, 邓晓红, 李宗省, 等.甘肃省河西地区水源涵养功能与人类活动强度演变[J].中国沙漠, 2024, 44(1):189-200.
    [17] 牛赟, 刘贤德, 李新, 等.祁连山大野口流域森林空间结构及水源涵养功能[J].中国沙漠, 2014, 34(6): 1685-1691.
    [18] 王丽娜, 丁文广, 许丹阳.基于DEM的甘肃省地貌形态特征分类[J].水土保持通报, 2019, 39(1):258-263.
    [19] TALLIS H T, RICKETTS T, GUERRY A D.InVEST 2.4.1 User’s Guide[Z]. The Natural Capital Project, Stanford, 2011.
    [20] ZHANG L, DAWES W, WALKER G.Response of mean annual evapotranspiration to vegetation changes at catchment scale[J]. Water Resources Research, 2001, 37(3): 701-708.
    [21] 余新晓, 周彬, 吕锡芝, 等.基于 InVEST 模型的北京山区森林水源涵养功能评估[J].林业科学, 2012, 48(10):1-5.
    [22] 王劲峰, 徐成东.地理探测器:原理与展望[J].地理学报, 2017, 72, (1):116-134.
    [23] 吕明轩,张红,贺桂珍, 等.黄河流域水源涵养服务功能动态演变及驱动因素探究[J].生态学报, 2024, 44(7):1-11.
    [24] GAO J , JIANG Y, ANKER Y.Contribution analysis on spatial tradeff/synergy of Karst soil conservation and water retention for various geomorphological types: geographical detector application[J]. Ecological Indicators, 2021, 125:147-154.
    [25] WANG J F, ZHANG T L, FU B J.A measure of spatial stratified heterogeneity[J].Ecological Indicators, 2016, 67:250-256.
    [26] WANG F, LI X H, CHRISTAKOS G, et al. Geographical detectors-based health risk assessment and its application in the neural tube defects study of the Heshun region, China[J]. International Journal of Geographical Information Science, 2010,24(1): 107-127.
    [27] 周文佐. 基于GIS的我国主要土壤类型土壤有效含水量研究[D]. 南京:南京农业大学, 2003.
    [28] YAN F P, SHANGGUAN W ,ZHANG J. Depth to bedrock map of China at a spatial resolution of 100 meters[J]. Scientific Data, 2020,7(1): 2-14.
    [29] MU H W, LI X C, WEN Y N, HUANG J X, et al. A global record of annual terrestrial Human Footprint dataset from 2000 to 2018[J]. Scientific Data, 2022, 9, 176-184.
    [30] Sanderson E W. The human footprint and the last of the wild[J]. BioScience, 2002, 52(10):891-904.
    [31] 赵亚茹, 周俊菊, 雷莉, 等.基于InVEST模型的石羊河上游产水量驱动因素识别[J]. 生态学杂志, 2019, 38(12):3789-3799.
    [32] 贾雨凡, 王国庆.基于InVEST模型的伊洛河流域水源涵养能力评估[J].水土保持学报, 2023, 37(3): 101-108.
    [33] 韩念龙, 刘子荣, 贾培宏, 等.1996-2020年海南岛水源涵养量时空变化及地理探测[J].水土保持通报, 2022, 42(5):193-201.
    [34] 王冶, 薛忠财, 王瑞丰, 等.1990-2017年承德市水源涵养功能时空变化格局与影响因素研究[J].生态与农村环境学报, 2022, 38(9):1138-1146.
    [35] 张福平, 李肖娟, 冯起,等.基于 InVEST 模型的黑河流域上游水源涵养量[J].中国沙漠, 2018, 38(6): 1321-1329.
    [36] 乔亚军, 张慧, 韩晓盈, 等.基于地理空间角度的黑龙江省水源涵养功能变化的驱动因素分析[J].生态学报, 2023, 43(7):2711-2721.
    [37] 吕乐婷,李青,杨勇.辽宁省2001-2020年水源涵养量变化及其影响因素[J].水土保持通报, 2022, 42(1):290-296.
    [38] LIAN X H, QI Y, WANG H W, et al.Assessing changes of water yield in Qinghai Lake Watershed of China[J].Water, 2019,12(1):11-21.
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History
  • Received:July 17,2024
  • Revised:September 11,2024
  • Adopted:September 11,2024