Future climate change impacts on the ecohydrology of guishui river basin, China

Ecohydrology and Hydrobiology

Volumn 14, Issue 1, 2014, Pages 55-67

  Guo, Binbin ^a   Zhang, Jing ^a   Gong, Huili ^a   Cheng, Xiaoguang ^a  

^a CAPITAL NORMAL UNIVERSITY   (China)

Author keywords

Climate change; Evapotranspiration; Maximum (minimum) temperature; Precipitation; Runoff; Statistical downscaling

Indexed keywords

CLIMATE CHANGE; CLIMATE EFFECT; DOWNSCALING; ECOHYDROLOGY; ECOSYSTEM RESILIENCE; EMISSION INVENTORY; EVAPOTRANSPIRATION; FUTURE PROSPECT; HYDROLOGICAL RESPONSE; NET PRIMARY PRODUCTION; PRECIPITATION ASSESSMENT; PRECIPITATION INTENSITY; STATISTICAL ANALYSIS; UNCERTAINTY ANALYSIS; WEATHER FORECASTING;

BEIJING [CHINA]; CHINA; GUISHUI BASIN;

EID: 84901593875     PISSN: 16423593     EISSN: 20803397     Source Type: Journal    
DOI: 10.1016/j.ecohyd.2014.02.005     Document Type: Article

References (39)

1. Band, L.E., Patterson, P., Nemani, R., Running, S.W., 1993. Forest ecosystem processes at the watershed scale: incorporating hillslope hydrology. Agricultural and Forest Meteorology 1993 (63) 93-126.
2. Berthelot, M., Friedlingstein, P., Ciais, P., Dufresne, J.L., Monfray, P., 2005. How uncertainties in future climate change predictions translate into future terrestrial carbon fluxes. Global Change Biology 11, 959-970.
3. Bicknell, B.R., Imhoff, J.C., Kittle Jr., J.L., Jobes, T.H., Donigian Jr., A.S., Johanson, R.C., 2001. Hydrological Simulation Program-FORTRAN (HSPF): User's Manual for Version 12. U.S. Environmental Protection Agency, Athens, GA., http://www.epa.gov/waterscience/Basins/bsnsdocs.html.
4. Choi, W., Deal, B.M., 2008. Assessing hydrological impact of potential land use change through hydrological and land use change modeling for the Kishwaukee River Basin (USA). Journal of Environmental Management 88 (4) 1119-1130.
5. Chu, J.T., Xia, J., Xu, C.Y., 2008. Suitability analysis of SDSM model in the Haihe River Basin. Resources Science 30 (12) 1825-1832.
6. Diaz-Nieto, J., Wilby, R.L., 2005. A comparison of statistical downscaling and climate change factor methods: impacts on low flows in the River Thames, United Kingdom. Climatic Change 69 (2) 245.
7. Dibike, Y.B., Coulibaly, P., 2005. Hydrologic impact of climate change in the Saguenay watershed: comparison of downscaling methods and hydrologic models. Journal of Hydrology 307 (1-4) 145-163.
8. Doherty, J., 2005. PEST-Model-Independent Parameter Estimation, User Manual, 5th ed. Watermark Numerical Computing 336 pp.
9. 2 concentration and climate change on net primary productivity of Quercus variabilis forestin Beijing Mountain Area. Ecology and Environmental Sciences 19 (6) 1278-1283.
10. Govind, A., Chen, J.M., Margolis, H., Ju, W.M., Sonnentag, O., Giasson, M.A., 2009. A spatially explicit hydro-ecological modeling framework (BEPS-TerrainLab V2.0): model description and test in a boreal ecosystem in Eastern North America. Journal of Hydrology 367, 200-216.
11. Hay, L.E., Wilby, R., Leavesley, G.H., 2000. A comparison of delta change and downscaled GCM scenarios for three mountainous Basins in the United States. Journal of the American Water Resources Association 36 (2) 387-397.
12. Hwang, S., Graham, W.D., Adams, A., Geurink, J., 2013. Assessment of the utility of dynamically-downscaled regional reanalysis data to predict streamflow in west central Florida using an integrated hydrologic model. Regional Environmental Change 13 (1) 69-80.
13. Khan, M.S., Coulibaly, P., Dibike, Y., 2006. Uncertainty analysis of statistical downscaling methods. Journal of Hydrology 319 (1-4) 357-382.
14. Koczot, K.M., Markstrom, S.L., Hay, L.E., 2011. Effects of baseline conditions on the simulated hydrologic response to projected climate change. Earth Interact 15, 1-23.
15. Liu, C.M., Liu, W.B., Fu, G.B., Ouyang, R.L., 2012. A discussion of some aspects of statistical downscaling in climate impacts assessment. Advances in Water Science 23 (3) 427-437.
16. Parton, W.J., Scurlock, J.M.O., Ojima, D.S., Schimel, D.S., Hali, D.O., Scopegram group members, 1995. Impact of climate change on grassland production and soil carbon worldwide. Global Change Biology 1, 13-22.
17. Peng, H., Jia, Y.W., Qiu, Y.Q., Niu, C.W., 2013. Assessing climate change impacts on the ecohydrology of the Jinghe River Basin in the Loess Plateau, China. Hydrological Sciences Journal 58 (3) 651-670.
18. Praskievicz, S., Chang, H., 2011. Impacts of Climate Change and Urban Development on Water Resources in the TuaLatin River Basin, Oregon. Annals of the Association of American Geographers 101 (2) 249-271.
19. Ravindranath, N.H., Joshi, N.V., Sukumar, R., Saxena, A., 2005. Impact of climate change on forests in India. arXiv:q-bio/0511001.
20. Running, S.W., Hunt, R.E., 1993. Generalization of a Forest Ecosystem Process Model for Other Biomes (BIOME-BGC) and an Application for Global-Scale Models. Academic Press, San Diego, CA.
21. Song, X.M., Kong, F.Z., Zhan, C.S., 2012. Sensitivity analysis of hydrological model parameters using a statistical theory approach. Advances in Water Science 23 (5) 642-649.
22. Thomson, A., Brown, R.A., Rosenberg, N.J., Srinivasan, R., Izaurraldel, R.C., 2005. Climate Change Impacts for the Conterminous USA. Springer, Netherlands, pp. 67-88.
23. Wilby, R.L., Dawson, C.W., 2013. The Statistical Down Scaling Model: insights from one decade of application. International Journal of Climatology 33 (7) 1707-1719.
24. White, M.A., Thornton, P.E., Running, S.W., Nemani, R.R., 2000. Parameterization and sensitivity analysis of the BIOME-BGC terrestrial ecosystem model: net primary production controls. Earth Interactions 4, 1-85.
25. Wilby, R.L., Whitehead, P.G., Wade, A.J., Butterfield, D., Davis, R.J., Watts, G., 2006. Integrated modelling of climate change impacts on water resources and quality in a lowland catchment: River Kennet. Journal of Hydrology 330, 204-220.
26. Wilby, R.L., Tomlinson, O.J., Dawson, C.W., 2003. Multi-site simulation of precipitation by conditional resampling. Climate Research 23 (3) 183-194.
27. Xia, J., Liu, C.Z., Ren, G.Y., 2011. Opportunity and challenge of the climate change impact on the water resource of China. Advances in Earth Science 26(1) 1-12.
28. Xing, K.X., Guo, H.C., Sun, Y.F., He, B., Huang, Y.T., 2004. Simulation ofnonpoint source pollution in Lake Dianchi Basin based on HSPF model. China Environmental Science 24 (2) 229-232.
29. Xu, C.Y., 1999. From GCMs to river flow: A review of downscaling methods and hydrologic modelling approaches. Progress in Physical Geogra-phy 23 (2) 229-249.
30. Xu, Y.P., Zhang, X.J., Ran, Q.H., Tian, Y., 2013. Impact of climate change on hydrology of upper reaches of Qiantang River. Journal of Hydrology 483, 51-60.
31. Xue, Y.F., Wang, X.Y., Wang, L.F., Zhang, L., 2009. Runoff simulation on watershed of Dage River by HSPF model. Environmental Science & Technology 32 (10) 103-107.
32. Yang, Z.Y., Yu, Y.D., Wang, J.H., Yan, D.H., 2011. Climate change and its impact on water resources in Yixun River Basin. Advances in Water Science 22 (2) 175-181.
33. Yu, D.Y., Pan, Y.Z., Jiang, P., Zhu, W.Q., He, H., 2005. Spatial and temporal response of NPP of East Asian vegetation to climate changes. Journal of Beijing Forestry University 27 (Suppl. 2) 96-101.
34. Yuan, F., Zhu, Y.J., 2007. Considering vegetation dynamics simulation of hydrological processes. Water Science Research 1 (1) 50-57.
35. Zhang, H., Zeng, F.T., Fang, H.Y., Zhang, H.J., Xiao, J.E., Lin, S., 2012. Estimating nonpoint pollution loading from the Danshui catchment based on HSPF and regression model. Acta Scientiae Circumstantiae 32 (4) 856-864.
36. Zhang, L.P., Chen, X.F., Zhao, Z.P., Hu, Z.F., 2008. Progress in Study of Climate Change Impacts on Hydrology and Water Resources. Process in Geography 27 (3) 60-67.
37. 2 change on net primary productivity of Pinus tabulaeformis forest in Beijing mountain area. Guangdong Agricultural Science 6, 4-7.
38. Zuo, D.P., Xu, Z.X., Li, J.Y., Liu, Z.F., 2011. Spatiotemporal character istics of potential evapotranspiration in the Weihe River Basin under future climate change. Advances in Water Science 22 (4) 455-461.
39. Zalewski, M., 2002. Ecohydrology-the use of ecological and hydrological processes for sustainable management of water resources. Hydrological Sciences Journal 47 (5) 823-832.