|
|
Spatial and temporal variation of water yield and water retention function in Xiaoluan River Basin based on InVEST model |
ZHOU Yining1, GUAN Yinghui1, LIN Yicheng1, ZHOU Jinxing1, LIU Yuguo2 |
1. School of Soil and WaterConservation, Beijing Forestry University, 100083, Beijing, China; 2. Institute of Ecological Conservation and Restoration, Chinese Academy of Forestry, 100091, Beijing, China |
|
|
Abstract [Background] The Xiaoluan River Basin is an important part of the Beijing-Tianjin-Hebei water retention functional area. Finding out the spatiotemporal evolution patterns of water yield and water retention functions in the Xiaoluan River Basin can provide a scientific basis for water resource management and regional sustainable development. [Methods] In this paper, based on the multi-source spatial datasets in 2000, 2010 and 2020, the InVEST model and spatial autocorrelation analysis were used to explore the spatio-temporal changes and spatial clustering patterns of water conservation functions under different land use types in Xiaoluan River basin. [Results] 1) Shrublands, forest and grassland were the main land use types in study area, urban construction land continuously expanded while the sandy land significantly decreased, leading to a noticeable improvement in desertification conditions Over the past 20 years. 2) The annual average water yield of Xiaoluan River Basin in 2000, 2010 and 2020 was 0.425×108, 0.669×108 and 1.147×108 m3, respectively, and the annual average water retention was 0.035×108, 0.061×108 and 0.073×108 m3, respectively, both showing a steady increasing trend year by year. 3) The high-value areas of water yield and water retention in the basin gradually shifted from the Yudaokou pasture in the midstream to the forest land and shrublandsin the upstream and downstream, indicating that ecological degradation occurred in the midstream pasture. 4) The spatiotemporal variations of water yield and water retention function was obviously heterogeneous across different land use types, and the land types that contributed most to water retention were shrublands, forest land, and medium-coverage grassland. [Conclusions] This study can provide constructive scientific suggestions for land use optimization and water retention protection improvement in the Xiaoluan River Basin.
|
Received: 16 October 2023
|
|
|
|
|
[1] |
龚诗涵, 肖洋, 郑华,等. 中国生态系统水源涵养空间特征及其影响因素[J].生态学报, 2017,37(7):2455. GONG Shihan,XIAO Yang,ZHENG Hua,et al.Spatial patterns of ecosystem water conservation and in China and its impact factors analysis[J].Acta Ecologica Sinica,2017,37(7):2455.
|
[2] |
白杨,初东,田良,等. 武汉城市圈的水源涵养功能重要性评价研究[J].地球信息科学学报,2014,16(2):233. BAI Yang,CHU Dong,TIAN Liang,et al.Assessing the importance of water conservation function in Wuhan city circle [J]. Journal of Geo-Information Science,2014,16(2):233.
|
[3] |
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. ZHANG Fuping, LI Xiaojuan, FENG Qi, et al.Spatial and temporal variation of water conservation in the upper reaches of Heihe River basin based on InVEST Model[J]. Journal of Desert Research,2018,38(6):1321.
|
[4] |
HOYER R, CHANG H. Assessment of freshwater ecosystem change and urbanization[J]. Applied Geography,2014,53(2):402.
|
[5] |
NELSON E.Modeling multiple ecosystem services,biodiversity retention, commodity production, and tradeoffs at landscape scales[J].Frontiers in Ecology&the Environment,2009,7(1):4.
|
[6] |
赵军.生态系统服务的条件价值评估:理论、方法与应用[D].上海:华东师范大学,2005:22. ZHAO Jun. Contingent valuation of ecosystem services: Theory, methods and applications[D]. Shanghai:East China Normal University,2005:22.
|
[7] |
HAME P, GUSWA AJ Uncertainty analysis of a spatially explicit annual water-balance model: Case study of the Caper Fear basin, North Carolina[J]. Hydrology and Earth System Sciences,2015,19(2):839.
|
[8] |
LEH M D K, CUMMINGS E C. Quantifying and mapping multiple ecosystem services change in West Africa[J]. Agriculture Ecosystems and Environment,2013,165(15):6.
|
[9] |
TRUSURAT Y, EAPANICH P, KALLITOLA R. Integrating land use and climate change scenarios and models into assessment of forested watershed services in southern Thailand [J]. Environment Research,2016,147:611.
|
[10] |
白杨,郑华,庄长伟,等.白洋淀流域生态系统服务评估及其调控[J].生态学报,2013,33(3):711. BAI Yang,ZHENG Hua,ZHUANG Changwei,et al.Ecosystem services valuation and its regulation in Baiyangdian baisn: Based on InVEST model[J].Acta Ecologica Sinica,2013,33(3):711.
|
[11] |
潘韬,吴绍洪,戴尔阜,等. 基于InVEST模型的三江源区生态系统水源供给服务时空变化[J].应用生态学报,2013,24(1):183. PAN Tao,WU Shaohong, DAI Erfu,et al.Spatiotemporal variation of water source supply service in Three Rivers source area of China based on InVEST model[J].Chinese Journal of Applied Ecology, 2013,24(1):183.
|
[12] |
田元.滦河流域现状及治理对策分析[J].水利规划与设计,2017(3):15. TIAN Yuan. Analysis on current situation and treatment countermeasures of Luanhe River Basin [J]. Water Conservancy Planning and Design,2017(3):15.
|
[13] |
United States Department of Agriculture. Urban hydrology for small watersheds, in technical release[R]. 1986:55.
|
[14] |
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,2003:16. ZHOU Wenzuo. A study on available water capacity of main soil types in China based on GIS[D]. Nanjing:Nanjing Agricultural University,2003:16.
|
[15] |
潘梅, 陈天伟, 黄麟,等. 京津冀地区生态系统服务时空变化及驱动因素[J].生态学报, 2020,40(15):5151. PAN Mei,CHEN Tianwei,HUANG Lin,et al.Spatial and temporal variations in ecosystem services and its driving factors analysis in Jing-Jin-Ji region[J]. Acta Ecologica Sinica,2020,40(15):5151.
|
[16] |
DONOHUE R J, RODERICK M L. Roots, storms and soil pores: Incorporating key ecohydrological processes into Budyko's hydrological model[J]. Journal of Hydrology,2012,35:436.
|
[17] |
REDHEAD J W, STRATFORD C, SHARPS K, et al. Empirical validation of the InVEST water yield ecosystem service model at a national scale[J].Science of the Total Environment,2016,1418:569.
|
[18] |
ZHANG L, HICKEl K, DAWES W R, et al. A rational function approach for estimating mean annual evapotranspiration[J]. Water Resources Research,2004,40(15):196.
|
[19] |
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. ZHAO Yaru,ZHOU Junju, LEI Li,et al. Identification of drivers for water yield in the upstream of Shiyang River based on InVEST model[J]. Chinese Journal of Ecology,2019,38(12):3789.
|
[20] |
巩飞,罗勇,田犀,等. 张家口坝上地区水源涵养功能的重要性评估[J].草业科学,2020,37(7):1337. GONG Fei, LUO Yong, TIAN Xi, et al. Evaluating the importance of water conservation function in Bashang area, Zhangjiakou [J]. Pratacultural Science, 2020,37(7):1337.
|
[21] |
黄菁,范继辉,何晓蓉.基于InVEST模型的张家口地区水源涵养功能研究[J].山地学报,2021,39(3):327. HUANG Jing,FAN Jihui,HE Xiaorong.InVEST Model based evaluation of water conservation function in Zhangjiakou area,China[J].Mountain Research,2021,39(3):327.
|
[22] |
杨昀则,田鹏,张海涛,等.基于InVEST模型的甬江流域水源供给功能时空变化特征[J].水资源与水工程学报,2021,32(5):107. YANG Yunze, TIAN Peng, ZHANG Haitao, et al.Spatiotemporal variation characteristics of water supply function of Yongjiang River Basin based on InVEST Model[J].Journal of Water Resources and Water Engineering,2021,32(5):107.
|
[23] |
包玉斌,李婷,柳辉,等. 基于InVEST模型的陕北黄土高原水源涵养功能时空变化[J].地理研究,2016,35(4):664. BAO Yubin, LI Ting, LIU Hui, et al. Spatial features analysis of water retention function in the hilly areas of the Loess Plateau based on InVEST model[J]. Acta Ecological Sinica,2016,35(4):664.
|
[24] |
刘娇,郎学东,苏建荣,等.基于InVEST模型的金沙江流域干热河谷区水源涵养功能评估[J].生态学报,2021,41(20):8099. LIU Jiao,LANG Xuedong,SU Jianrong,et al.Evaluation of water conservation function in dry and hot valley area of Jinsha River based on InVEST model[J]. Acta Ecologica Sinica,2021,41(20):8099.
|
[25] |
王冶,薛忠财,王琳,等. 承德市武烈河流域水源涵养功能的时空特征[J].草业科学,2021,38(6):1047. WANG Ye, XUE Zhongcai. WANG Lin, et al. Analysis of the spatio-temporal characteristics of the water retention function of the Wulie River Basin in Chengde city[J]. Pratacultural Science,2021,38(6):1047.
|
|
|
|