Eco. Compensation

Spatial and Temporal Patterns of Supply and Demand Balance of Water Supply Services in the Dongjiang Lake Basin and Its Beneficiary Areas

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  • 1. Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China;
    2. University of Chinese Academy of Sciences, Beijing 100049, China

Received date: 2015-10-21

  Online published: 2015-11-25

Supported by

the National Science and Technology Support Program (2013BAC03B05) and National Natural Science Foundation of China (31400411)

Abstract

Water-related ecosystem services is a hot topic in ecological research. Water supply services are crucial to regional water cycles and water quantity balance. The Dongjiang Lake basin is a national priority river basin in China where ecological compensation pilot programs concerning water resources and water supply services are top priorities for ecosystem service protection. We analyzed spatial and temporal patterns associated with generation and use of water supply services in the Dongjiang Lake basin using the InVEST model, socio-economic data and water resource data. We found that between 1995 and 2010, water yield in the Dongjiang Lake basin and its beneficiary areas increased before declining, varying 9350-12 400 m3 ha-1 y-1; average water yield peaked in 2000. The spatial distribution patterns of water yield during these years are similar, progressively decreasing from upstream to downstream with a remarkable reduction in surrounding areas of city clusters. Average water consumption of the basin and its beneficiary areas ranged from 2900-4450 m3 ha-1 y-1 between 1995 and 2010; the spatial distribution patterns of water consumption during these years are similar, dropping gradually from urban construction land to its surroundings with a stronger gradient between urban and rural areas. More water was consumed on both banks and surroundings of the lake. From 1995 to 2010, water supply fell short of demand for urban construction land and its proximity as well as areas along the lake. Water supply services were able to satisfy needs in other regions. The Changsha-Zhuzhou-Xiangtan city cluster suffers from the most strained water supply.

Cite this article

XU Jie, XIAO Yu, LI Na, WANG Hao . Spatial and Temporal Patterns of Supply and Demand Balance of Water Supply Services in the Dongjiang Lake Basin and Its Beneficiary Areas[J]. Journal of Resources and Ecology, 2015 , 6(6) : 386 -396 . DOI: 10.5814/j.issn.1674-764x.2015.06.006

References

[1] Allen R G, L S Pereira, D Raes, M Smith. 1998. Crop evapotranspiration: Guidelines for computing crop water requirements. FAO, Rome, 300(9): 1-15.
[2] Budyko M I. 1974. Climate and life. New York: Academic Press, 1-510.
[3] Burkhard B, F Kroll, S Nedkov, et al. 2012. Mapping ecosystem service supply, demand and budgets. Ecological Indicators, 21: 17-29.
[4] Canadell J, R B Jackson, J B Ehleringer, et al. 1996. Maximum rooting depth of vegetation types at the global scale. Oecologia, 108(4): 583-595.
[5] Costanza R. 2008. Ecosystem services: Multiple classification systems are needed. Biological Conservation, 141(2): 350-352.
[6] CSIRO. 2008. Water availability in the Murray-Darling Basin. CSIRO, Australia.
[7] Du Y. 1986. Analysis and calculation of free water surface evaporation from reservoir and lake. Transations of Oceanology and Limnology, (3): 25-32. (in Chinese)
[8] Huang C H. 2014.Ecosystem services evaluation based on the InVEST model: Case studies in Baoxing County, Sichuan and Mentougou District, Beijing: Beijing Forestry University. (in Chinese)
[9] Jia F F. 2014. InVEST model based ecosystem services evaluation with case study on Ganjiang River Basin. Beijing: China University of Geosciences (Beijing). (in Chinese)
[10] Jorge M, L Javier, G Pilar. 2002. Estimation models for precipitation in mountainous regions: The use of GIS and multivariate analysis. Journal of Hydrology, 270: 1-11.
[11] Kroll F, F Müller, D Haase, N Fohrer. 2012. Rural-urban gradient analysis of ecosystem services supply and demand dynamics. Land Use Policy, 29(3): 521-535.
[12] Liu Z J, Yu X X, Wang S S, Shang G Y. 2012. Comparative analysis of three covariates methods in Thin-Plate Smoothing Splines for interpolating precipitation. Progress in Geography, 31(1): 56-62. (in Chinese)
[13] Li Y J, Zhao J. 2012. Virtual water calculation and strategy research of agricultural and livestock products. Yellow River, (12): 59-62. (in Chinese)
[14] Miao S J. 2012. The study of flow simulation in Wohushan reservoir. Jinan: University of Jinan. (in Chinese)
[15] Hutchinson M H, Xu T B. 2013. ANUSPLIN Version 4.4 User Guide. Canberra: The Australian National University.
[16] Nedkov S, B Burkhard.2012. Flood regulating ecosystem services—Mapping supply and demand, in the Etropole municipality, Bulgaria. Ecological Indicators, 21: 67-79.
[17] Pan T, Wu S H, Dai E F, Liu Y J. 2013. Spatiotemporal variation of water source supply service in Three Rivers Source Area of China based on InVEST model. Chinese Journal of Applied Ecology, 24(1): 183-189. (in Chinese)
[18] Qian Y L, Lv H, Zhang Y H. 2010. Application and assessment of spatial interpolation method on daily meteorological elements based on ANUSPLIN software. Journal of Meteorology and Environment, 26(2): 7-15. (in Chinese)
[19] Roces-Díaz J V, E R Díaz-Varela, P Álvarez-Álvarez. 2014. Analysis of spatial scales for ecosystem services: Application of the lacunarity concept at landscape level in Galicia (NW Spain). Ecological Indicators, 36: 495-507.
[20] Schröter M, R P Remme, L Hein. 2012. How and where to map supply and demand of ecosystem services for policy-relevant outcomes? Ecological Indicators, 23: 220-221.
[21] Serna-Chavez H M, C J E Schulp, P M van Bodegom, et al. 2014. A quantitative framework for assessing spatial flows of ecosystem services. Ecological Indicators, 39: 24-33.
[22] Sherrouse B C, J M Clement, D J Semmens. 2011. A GIS application for assessing, mapping, and quantifying the social values of ecosystem services. Applied Geography, 31(2): 748-760.
[23] Stürck J, A Poortinga, P H Verburg. 2014. Mapping ecosystem services: The supply and demand of flood regulation services in Europe. Ecological Indicators, 38: 198-211.
[24] Syrbe R-U, U Walz. 2012. Spatial indicators for the assessment of ecosystem services: Providing, benefiting and connecting areas and landscape metrics. Ecological Indicators, 21: 80-88.
[25] Tallis H T, T Ricketts, A D Guerry, et al. 2011. InVEST 2.1 Beta User’s Guide. Stanford: The Natural Capital Project.
[26] Wu Z, Chen X, Liu B B, Chu J F, Peng L X. 2014. Simulation of spatial distribution of water yield of Hainan Island with different types of land use /land cover. Water Resources Protection, 03: 9-13. (in Chinese)
[27] Xiao Y, Xie G D, Lu C X, Xu J. 2016. Involvement of ecosystem services flows in human wellbeing based on the relationship between supply and demand. Acta Ecologica Sinica, 36(10). (in Chinese)
[28] Xu P, Peng P H, Wang Y K, Liu Y G.2007. Estimation and assessment on eco-water storage of the Jiuzhaigou natural reserve. Earth and Environment, 35(1): 61-64. (in Chinese)
[29] Zhang L, W R Dawes, G R Walker. 2001. Response of mean annual evapotranspiration to vegetation changes at catchment scale. Water Resources Research, 37(3): 701-708.
[30] Zhao X S, Liu Y B, Wu G P. 2013. A remote-sensing-based study on evapotranspiration and the environmental factors over the Lake Poyang region. Journal of Lake Sciences, 25(3): 428-436. (in Chinese)
[31] Zhou W Z. 2003. A study on available water capacity of main soil types in China based on geographic information system. Nanjing: Nanjing Agricultural University. (in Chinese)
[32] Zhu H C, Li R D. 2005. Impact of land use change on runoff-yield of Dongting Lake area. Resources and Environment in the Yangtze Basin, 14(5): 566-569. (in Chinese)
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