Abstract
Global climate change and increased human consumption have aggravated the uneven spatiotemporal distribution of watershed water resources, affecting the water provision supply and demand state. However, this problem has often been ignored. The present study used the Xiangjiang River basin (XRB) as the study area, and the Integrated Valuation of Ecosystem Services and Trade-offs (InVEST) model, demand quantification model, supply–demand ratio, and water flow formula were applied to explore the spatial heterogeneity, flow, and equilibrium between water supply and demand. The results demonstrated significant spatial heterogeneity in the upstream, midstream, and downstream regions. The areas of water shortage were mainly located the downstream of the Changsha–Zhuzhou–Xiangtan urban agglomeration, and the Hengyang basin was the most scarcity area. Affected by terrain gradients and human needs, water flow varied from -16.33 × 108 m3 to 13.69 × 108 m3 from the upstream to the downstream area, which provided a possibility to reduce spatial heterogeneity. In the future, measures such as strengthening water resource system control, sponge city construction, and dynamic monitoring technology should be taken to balance the supply and demand of water in different river sections of the basin. This study can provide references for regulating water resources allocation in different reaches of the basin.
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Allen R, Pereira L, Raes M, et al. (1998) Crop Evapotranspiration: Guidelines for Computing Crop Water Requirements, FAO Irrigation and Drainage Paper 56.
Bagstad KJ, Johnson GW, Voigt B, et al. (2013) Spatial dynamics of ecosystem service flows: a comprehensive approach to quantifying actual services. Ecosyst Serv 4: 117–125. https://doi.org/10.1016/j.ecoser.2012.07.012
Bagstad KJ, Villa F, Batker D, et al. (2014) From theoretical to actual ecosystem services: mapping beneficiaries and spatial flows in ecosystem service assessments. Ecol Soc 19(2): 64. https://doi.org/10.5751/ES-06523-190264
Baró F, Palomo I, Zulian G, et al. (2016) Mapping ecosystem service capacity, flow and demand for landscape and urban planning: a case study in the Barcelona metropolitan region. Land Use Pol 57: 405–417. https://doi.org/10.1016/j.landusepol.2016.06.006
Boithias L, Acuna V, Ziv G, et al. (2014) Assessment of the water supply: demand ratios in a Mediterranean basin under different global change scenarios and mitigation alternatives. Sci Total Environ 470–471(2): 567–577. https://doi.org/10.1016/j.scitotenv.2013.10.003
Brauman KA, Daily GC, Duarte TK, et al. (2007) The nature and value of ecosystem services: An overview highlighting hydrologic services. Annu Rev Env Resour 32: 67–98. https://doi.org/10.1146/annurev.energy.32.031306.102758
Bryan BA, Ye YQ, Zhang JE, et al. (2018) Land-use change impacts on ecosystem services value: Incorporating the scarcity effects of supply and demand dynamics. Ecosyst Serv 32: 144–157. https://doi.org/10.1016/j.ecoser.2018.07.002
Canadell J, Jackson RB, Ehleringer JB, et al. (1996) Maximum rooting depth of vegetation types at the global scale.
Chen DS, Li J, Yang XN, et al. (2020) Quantifying water provision service supply, demand and spatial flow for land use optimization: a case study in the YanHe watershed. Ecosyst Serv 43: 13. https://doi.org/10.1016/j.ecoser.2020.101117
Chen DS, Li J, Zhou ZX, et al. (2017) Simulating and mapping the spatial and seasonal effects of future climate and land-use changes on ecosystem services in the Yanhe watershed, China. Environ Sci Pollut Res 25: 1115–1131. https://doi.org/10.1007/s11356-017-0499-8
Cui FQ, Tang HP, Zhang Q, et al. (2019) Integrating ecosystem services supply and demand into optimized management at different scales: a case study in Hulunbuir, China. Ecosyst Serv 39: 17. https://doi.org/10.1016/j.ecoser.2019.100984
Daniel M, Lemonsu A, Viguié V. (2016) Role of watering practices in large-scale urban planning strategies to face the heat-wave risk in future climate. Urban Clim: S2212095516300505. https://doi.org/10.1016/j.uclim.2016.11.001
Deng CX, Zhu DM, Nie XD, et al. (2021a) Precipitation and urban expansion caused jointly the spatiotemporal dislocation between supply and demand of water provision service. J Environ Manage. 299: 113660. https://doi.org/10.1016/j.jenvman.2021.113660
Deng CX, Liu JY, Liu YJ, et al. (2021b). Spatiotemporal dislocation of urbanization and ecological construction increased the ecosystem service supply and demand imbalance. J Environ Manage 288: 112478. https://doi.org/10.1016/j.jenvman.2021.112478
Farley KA, Jobbágy EG, Jackson RB. (2005) Effects of afforestation on water yield: a global synthesis with implications for policy. Global Change Biol 11: 1565–1576. https://doi.org/10.1111/j.1365-2486.2005.01011.x
Feng XM, Fu BJ, Piao S, et al. (2016) Revegetation in China’s Loess Plateau is approaching sustainable water resource limits. Nat Clim 11. https://doi.org/10.1038/NCLIMATE3092
Fischer G, Nachtergaele FO, Prieler S, et al. (2008) Global Agro-ecological Zones Assessment for Agriculture (GAEZ), IIASA.
Flach R, Ran Y, Godar J, et al. (2016) Towards more spatially explicit assessments of virtual water flows: linking local water use and scarcity to global demand of Brazilian farming commodities. Environ Res Lett 11(7). https://doi.org/10.1088/1748-9326/11/7/075003
FU BJ, Zhang LW, Xu ZH, et al. (2015) Ecosystem services in changing land use. J Soil Sediment 15: 833–843. https://doi.org/10.1007/s11368-015-1082-x
Hurkmans R, Terink W, Uijlenhoet R, et al. (2009) Effects of land use changes on streamflow generation in the Rhine basin. Water Resour Ees 45(6): 735–742. https://doi.org/10.1029/2008WR007574
Kenneth J, Bagstad KJ, Gary W, et al. (2013) Spatial dynamics of ecosystem service flows: A comprehensive approach to quantifying actual services. Ecosyst Serv 4: 117–125. https://doi.org/10.1016/j.ecoser.2012.07.012
Li DL, Wu SY, Liu LB, et al. (2017) Evaluating regional water security through a freshwater ecosystem service flow model: A case study in Beijing-Tianjian-Hebei region, China. Ecol Indic 81: 159–170. https://doi.org/10.1016/j.ecolind.2017.05.034
Li X, Sun W, Zhang D, et al. (2021) Evaluating water provision service at the sub-watershed scale by combining supply, demand, and spatial flow. Ecol Indic 127. https://doi.org/10.1016/j.ecolind.2021.107745
Liu JY, Liu ML, Tian HQ, et al. (2005) Spatial and temporal patterns of China’s cropland during 1990–2000: An analysis based on Landsat TM data. Remote Sens Environ 98: 442–456.
Maggi Federico, Pallud Céline. (2010) Martian base agriculture: The effect of low gravity on water flow, nutrient cycles, and microbial biomass dynamics. Adv Space Res 46: 1257–1265. https://doi.org/10.1016/j.asr.2010.07.012
Nelson E, Mendoza G, Regetz J, et al. (2009) Modeling multiple ecosystem services, biodiversity conservation, commodity production, and tradeoffs at landscape scales. Front Ecol Environ 7: 4–11. https://doi.org/10.1890/080023
Palomo I, Martín-López B, Haines-Young R, et al. (2013) National Parks, buffer zones and surrounding lands: Mapping ecosystem service flows. Ecosyst Serv 4: 104–116. https://doi.org/10.1016/j.ecoser.2012.09.001
Peng F, Li K, Liang R, Yang S, et al. (2020) Positive effect of a canal system and reservoir group on the spatial-temporal redistribution of water resources in a pinnate drainage pattern. Sci Total Environ 744: 140855. https://doi.org/10.1016/j.scitotenv.2020.140855
Piao SL, Ciais P, Huang Y, et al. (2010) The impacts of climate change on water resources and agriculture in China. Nature 467: 43–51. https://doi.org/10.1038/nature09364
Qin KY, Liu JY, Yan LW, et al. (2019) Integrating ecosystem services flows into water security simulations in water scarce areas: Present and future. Sci Total Environ 670: 1037–1048. https://doi.org/10.1016/j.scitotenv.2019.03.263
Redhead JW, Stratford CK, Jones L, et al. (2016) Empirical validation of the InVEST water yield ecosystem service model at a national scale. Sci Total Environ 569–570: 1418–1426. https://doi.org/10.1016/j.scitotenv.2016.06.227
Schröter M, Barton DN, Remme RP, et al. (2014) Accounting for capacity and flow of ecosystem services: A conceptual model and a case study for Telemark, Norway. Ecol Indic 36: 539–551. https://doi.org/10.1016/j.ecolind.2013.09.018
Serna-Chavez HM, Schulp PM, Bodegom Van, et al. (2014) A quantitative framework for assessing spatial flows of ecosystem services. Ecol Indic 39: 24–33. https://doi.org/10.1016/j.ecolind.2013.11.024
Sharp R, Tallis HT, Ricketts T, et al. (2018) InVEST 3.6.0 User’s Guide.
Shi Y, Shi D, Zhou L, et al. (2020) Identification of ecosystem services supply and demand areas and simulation of ecosystem service flows in Shanghai. Ecol Indic 115: 106418. https://doi.org/10.1016/j.ecolind.2020.106418
Song W, Deng XZ, Yuan Z, et al. (2015) Impacts of land-use change on valued ecosystem service in rapidly urbanized North China Plain. Ecol Model 318: 245–253. https://doi.org/10.1016/j.ecolmodel.2015.01.029
Shrestha NK, Du XZ, Wang JY, et al (2017) Assessing climate change impacts on fresh water resources of the Athabasca River Basin, Canada. Sci Total Environ 601: 425–440. https://doi.org/10.1016/j.scitotenv.2017.05.013
Uniyal B, Jha M, Verma A. (2015) Assessing climate change impact on water balance components of a river basin using SWAT model. Water Resour Manag 29: 4767–4785. https://doi.org/10.1007/s11269-015-1089-5
Verhagen W, Kukkala AS, Moilanen A, et al. (2017) Use of demand for and spatial flow of ecosystem services to identify priority areas. Conserv Biol 31: 860–871. https://doi.org/10.1111/cobi.12872
Vigl LE, Depellegrin D, Paulo P, et al. (2017) Mapping the ecosystem service delivery chain: Capacity, flow, and demand pertaining to aesthetic experiences in mountain landscapes. Sci Total Environ 574: 422–436. https://doi.org/10.1016/jscitotenv.2016.08.209
Villamagna AM, Angermeier and Bennett EM. (2013) Capacity, pressure, demand, and flow: a conceptual framework for analyzing ecosystem service provision and delivery. Ecol Complex 15: 114–121. https://doi.org/10.1016/j.ecocom.2013.07.004
Wang Q, Xu YP, Wu L, et al. (2018) Spatial hydrological responses to land use and land cover changes in a typical catchment of the Yangtze River Delta region. Catena 170: 305–315. https://doi.org/10.1016/j.catena.2018.06.022
Xu J, Xiao Y, Xie GD, et al. (2021) How to coordinate cross-regional water resource relationship by integrating water supply services flow and interregional ecological compensation. Ecol Indic 126(15). https://doi.org/10.1016/j.ecolind.2021.107595
Xu XB, Yang GS, Tan Y, et al. (2018) Ecosystem services tradeoffs and determinants in China’s Yangtze River Economic Belt from 2000 to 2015. Sci Total Environ 634: 1601–1614. https://doi.org/10.1016/j.scitotenv.2018.04.046
Xu ZH, Wei HJ, Fan Weiguo, et al. (2018) Energy modeling simulation of changes in ecosystem services before and after the implementation of a Grain-for-Green program on the Loess Plateau-A case study of the Zhifanggou valley in Ansai County, Shaanxi Province, China. Ecosyst Serv 31: 32–43. https://doi.org/10.1016/j.ecoser.2018.03.013
Yang D, Liu W, Tang LY, et al. (2019) Estimation of water provision service for monsoon catchments of South China: applicability of the InVEST model. Landscape Urban Plan 182: 133–143. https://doi.org/10.1016/j.landurbplan.2018.10.011
Yan R, Zhang XP, Yan SJ, et al. (2018) Spatial patterns of hydrological responses to land use/cover change in a catchment on the Loess Plateau, China. Ecol Indic 92: 151–160. https://doi.org/10.1016/j.ecolind.2017.04.013
Zank B, Kenneth J, Bagstad KJ, et al. (2016) Modeling the effects of urban expansion on natural capital stocks and ecosystem service flows: a case study in the Puget Sound, Washington, USA. Landscape Urban Plan 149: 31–42. https://doi.org/10.1016/j.landurbplan.2016.01.004
Zhang L, Hickel K, Dawes W R, et al. (2004) A rational function approach for estimating mean annual evapotranspiration 40: 89–97. https://doi.org/10.1029/2003WR002710
Zhang LQ, Peng J, Liu YX, et al. (2017) Coupling ecosystem services supply and human ecological demand to identify landscape ecological security pattern: a case study in Beijing-Tianjin-Hebei region, China. Urban Ecosyst 20: 701–714. https://doi.org/10.1007/s11252-016-0629-y
Zeng C, Ma J, Cao M, et al. (2020) Modeling Water Allocation under Extreme Drought of South-to-North Water Diversion Project in Jiangsu Province, Eastern China. Front Earth Sci-Prc 8. https://doi.org/10.3389/feart.2020.541664
Zhou WZ, Liu GH, Pan JJ, et al. (2005) Distribution of available soil water capacity in China. J Geogr Sci 15: 3–12. (In Chinese) https://doi.org/10.1016/j.scitotenv.2019.03.263
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This research was supported by National Natural Science Foundation of China (grant number 42171258, 41877084), Natural Science Foundation of Hunan Province (grant number 2021JJ30448).
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Deng, Cx., Zhu, Dm., Liu, Yj. et al. Spatial matching and flow in supply and demand of water provision services: A case study in Xiangjiang River Basin. J. Mt. Sci. 19, 228–240 (2022). https://doi.org/10.1007/s11629-021-6855-7
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DOI: https://doi.org/10.1007/s11629-021-6855-7