Potential effects of landscape change on water supplies in the presence of reservoir storage

Water Resources Research

Volumn 53, Issue 4, 2017, Pages 2679-2692

  Guswa, Andrew J ^a   Hamel, Perrine ^b   Dennedy Frank, P James ^b  

^a SMITH COLLEGE   (United States)

^b STANFORD UNIVERSITY   (United States)

Author keywords

ecosystem services; landscape change; reservoir; streamflow; water supply

Indexed keywords

ECOSYSTEMS; GEOMORPHOLOGY; LAND USE; RESERVOIRS (WATER); RUNOFF; STREAM FLOW; WATERSHEDS;

DAILY PRECIPITATIONS; ECOSYSTEM SERVICES; FORESTED WATERSHEDS; INTER QUARTILE RANGES; LANDSCAPE CHANGES; RESERVOIR CAPACITY; RESERVOIR SIMULATION; WATER SUPPLY SERVICES;

WATER SUPPLY;

ECOSYSTEM SERVICE; LAND USE CHANGE; LANDSCAPE CHANGE; PRECIPITATION (CLIMATOLOGY); RESERVOIR; SEASONALITY; STREAMFLOW; WATER AVAILABILITY; WATER STORAGE; WATER SUPPLY; WATERSHED;

UNITED STATES;

EID: 85017113039     PISSN: 00431397     EISSN: 19447973     Source Type: Journal    
DOI: 10.1002/2016WR019691     Document Type: Article

References (69)

1. Anderson, K. (2007), Existing supply of watershed services in the Panama Canal watershed, J. Sustainable For., 25(1–2), 121–145.
2. Andréassin, V. (2004), Water and forests: From historical controversy to scientific debate, J. Hydrol., 291(1), 1–27, doi:10.1016/j.hydrol.2003.12.015.
3. Archfield, S. A., R. M. Vogel, P. A. Steeves, S. L. Brandt, P. W. Weiskel, and S. P. Garabedian (2009), The Massachusetts sustainable-yield estimator: A decision-support tool to assess water availability at ungauged sites in Massachusetts, U.S. Geol. Surv. Sci. Invest. Rep. 2009-5227, 41 pp., plus CD-ROM, Reston, Va.
4. Bagstad, K. J., D. J. Semmens, S. Waage, and R. Winthrop (2013), A comparative assessment of decision-support tools for ecosystem services quantification and valuation, Ecosyst. Serv., 5, e27–e39.
5. Biederman, J. A., A. J. Somor, A. A. Harpold, E. D. Gutmann, D. D. Breshears, P. A. Troch, D. J. Gochis, R. L. Scott, A. J. H. Meddens, and P. D. Brooks (2015), Recent tree die-off has little effect on streamflow in contrast to expected increases from historical studies, Water Resour. Res., 51, 9775–9789, doi:10.1002/2015WR017401.
6. Boithias, L., M. Terrado, L. Corominas, G. Ziv, V. Kumar, M. Marqués, M. Schuhmacher, and V. Acuña (2016), Analysis of the uncertainty in the monetary valuation of ecosystem services—A case study at the river basin scale, Sci. Total Environ., 543(Part A), 683–690, doi:10.1016/j.scitotenv.2015.11.066.
7. Bosch, J. M., and J. D. Hewlett (1982), A review of catchment experiments to determine the effect of vegetation changes on water yield and evapo-transpiration, J. Hydrol., 55(1–4), 3–23.
8. Brauman, K., G. C. Daily, T. K. Duarte, and H. A. Mooney (2007), The nature and value of ecosystem services: An overview highlighting hydrologic services, Annu. Rev. Environ. Resour., 32, 67–98.
9. Bremer, L. L., et al. (2016), One size does not fit all: Natural infrastructure investments within the Latin American Water Funds Partnership, Ecosyst. Serv., 17, 217–236.
10. Brown, A. E., L. Zhang, T. A. McMahon, A. W. Western, and R. A. Vertessy (2005), A review of paired catchment studies for determining changes in water yield resulting from alterations in vegetation, J. Hydrol., 310, 28–61, doi:10.1016/j.jhydrol.2004.12.010.
11. Brown, A. E., A. W. Western, T. A. McMahon, and L. Zhang (2013), Impact of forest cover changes on annual streamflow and flow duration curves, J. Hydrol., 483, 39–50.
12. Brubaker, K. L., D. Entekhabi, nd P. S. Eagleson (1993), Estimation of continental precipitation recycling, J. Clim., 6, 1077–1089.
13. Bruijnzeel, L. A. (2004), Hydrological functions of tropical forests: Not seeing the soil for the trees?, Agric. Ecosyst. Environ., 104, 185–228.
14. Budyko, M. I. (1974), Climate and Life, Academic, San Diego, Calif.
15. Daily, G. C. (Ed.) (1997), Nature's Services: Societal Dependence on Natural Ecosystems, Island Press, Washington, D. C.
16. Daily, G.C., S. Polasky, J. Goldstein, P. M. Kareiva, H. A. Mooney, L. Pejchar, T. H. Ricketts, J. Salzman, and R. Shallenberger (2009), Ecosystem services in decision making: Time to deliver, Front. Ecol. Environ., 7(1), 21–28, doi:10.1890/080025.
17. Deemer, B. R., J. A. Harrison, S. Li, J. J. Beaulieu, T. Delsontro, N. Barros, J. F. Bezerra-Neto, S. M. Powers, M. A. Dos Santos, and J. A. Vonk (2016), Greenhouse gas emissions from reservoir water surfaces: A new global synthesis, BioScience, 66(11), 949–964.
18. Dennedy-Frank, J., R. L. Muenich, I. Chaubey, and G. Ziv (2016), Comparing two tools for ecosystem service assessments regarding water resources decisions, J. Environ. Manage., 177, 331–340, doi:10.1016/j.jenvman.2016.03.012.
19. Devito, K., I. Creed, T. Gan, C. Mendoza, R. Petrone, U. Silins, and B. Smerdon (2005), A framework for broad-scale classification of hydrologic response units on the Boreal Plain: Is topography the last thing to consider?, Hydrol. Processes, 19, 1705–1714, doi:10.1002/hyp.5881.
20. Dingman, S. L., 2015. Physical Hydrology, 3rd ed., Waveland Press, Long Grove, Ill.
21. Dracup, J. A., K. S. Lee, and E. G. Paulson, Jr. (1980), On the definition of droughts, Water Resour. Res., 16(2), 297–302.
22. Duku, C., H. Rathjens, S. J. Zwart, and L. Hein (2015), Towards ecosystem accounting: A comprehensive approach to modelling multiple hydrological ecosystem services, Hydrol. Earth Syst. Sci., 19(10), 4377–4396, doi:10.5194/hess-19-4377-2015.
23. Ellison, D., M. N. Futter, and K. Bishop (2012), On the forest cover-water yield debate: From demand to supply-side thinking, Global Change Biol., 18, 806–820, doi:10.1111/j.1365-2486.2011.02589.x.
24. Fatichi, S., et al. (2016), An overview of current applications, challenges, and future trends in distributed process-based models in hydrology, J. Hydrol., 537, 45–60.
25. Gartner, T., J. Mulligan, R. Schmidt, and J. Gunn (Eds.) (2013), Natural Infrastructure, Investing in Forested Landscapes for Source Water Protection in the United States, 132 pp., World Resour. Inst., Washington, D.C.
26. Guswa, A. J., K. A. Brauman, C. Brown, P. Hamel, B. L. Keeler, and S. S. Sayre (2014), Ecosystem services: Challenges and opportunities for hydrologic modeling to support decision making, Water Resour. Res., 50, 4535–4544, doi:10.1002/2014WR015497.
27. Hamel, P., and A. J. Guswa (2015), Uncertainty analysis of a spatially explicit annual water-balance model: Case study of the Cape Fear basin, North Carolina, Hydrol. Earth Syst. Sci., 19, 839–853, doi:10.5194/hess-19-839-2015.
28. Homa, E. S., C. Brown, K. McGarigal, B. W. Compton, and S. D. Jackson (2013), Estimating hydrologic alteration from basin characteristics in Massachusetts, J. Hydrol., 503, 196–208, doi:10.1016/j.jhydrol.2013.09.008.
29. Jasechko, S., J. W. Kirchner, J. M. Welker, and J. J. McDonnell (2016), Substantial portion of global streamflow less than three months old, Nat. Geosci., vol. 9, pp. 126–129, doi:10.1038/NGEO2636.
30. Jencso, K.G., and B. L. McGlynn (2011), Hierarchical controls on runoff generation: Topographically driven hydrologic connectivity, geology, and vegetation, Water Resour. Res., 47, W11527, doi:10.1029/2011WR010666.
31. Kareiva, P., H. Tallis, T. H. Ricketts, G. C. Daily, and S. Polasky (Eds.) (2011), Natural Capital, Theory and Practice of Mapping Ecosystem Services, 365 pp., Oxford Univ. Press, Oxford.
32. Keeler, B., S. Polasky, K.A. Brauman, K.A. Johnson, J.C. Finlay, A. O'Neill, K. Kovacs, and B. Dalzell (2012), Linking water quality and well-being for improved assessment and valuation of ecosystem services, Proc. Natl. Acad. Sci. U. S. A., 109(45), 18,619–18,624, doi:10.1073/pnas.1215991109.
33. Laaha, G., et al. (2013), Prediction of low flows in ungauged basins, in Runoff Prediction in Ungauged Basins: Synthesis Across Processes, Places, and Scales, edited by G. Blöschl et al., Cambridge Univ. Press, Cambridge, U. K.
34. Liu, J., S. Li, Z. Ouyang, C. Tam, and X. Chen (2008), Ecological and socioeconomic effects of China's policies for ecosystem services, Proc. Natl. Acad. Sci. U. S. A., 105(28), 9477–9482.
35. Ma, X., J. Xu, Y. Luo, S. P. Aggarwal, and J. Li (2009), Response of hydrological processes to land-cover and climate changes in Kejie watershed, south-west China, Hydrol. Processes, 23(8), 1179–1191, doi:10.1002/hyp.7233.
36. Markham, C. G. (1970), Seasonality of precipitation in the United States, Ann. Assoc. Am. Geogr., 60, 593–597.
37. Martin-Ortega, J., E. Ojea, and C. Roux (2013), Payments for water ecosystem services in Latin America: A literature review and conceptual model. Ecosyst. Serv., 6, 122–132, doi:10.1016/j.ecoser.2013.09.008.
38. Martin-Ortega, J., R. C. Ferrier, I. J. Gordon, and S. Khan (2015), Water Ecosystem Services: A Global Perspective, Cambridge Univ. Press, Cambridge, U. K.
39. McGlynn, B., J. McDonnell, M. Stewart, and J. Seibert (2003), On the relationship between catchment scale and streamwater mean residence time, Hydrol. Processes, 17, 175–181, doi:10.1002/hyp.5085.
40. McGuire, K. J., J. J. McDonnell, M. Weiler, C. Kendall, B. L. McGlynn, J. M. Welker, and J. Seibert (2005), The role of topography on catchment-scale water residence time, Water Resour. Res., 41, W05002, doi:10.1029/2004WR003657.
41. McMahon, T. A., G. G. S. Pegram, R. M. Vogel, and M. C. Peel (2007), Revisiting reservoir storage-yield relationships using a global streamflow database, Adv. Water Resour., 30, 1858–1872.
42. Mulligan, M., S. Benítez-Ponce, J. S. Lozano-V, and J. L. Sarmiento (2015), Policy support systems for the development of benefit-sharing mechanisms for water-related ecosystem services, in Water Ecosystem Services: A Global Perspective, edited by J. Martin-Ortega, et al., Cambridge Univ. Press, Cambridge, U. K.
43. National Research Council (2004), Valuing Ecosystem Services: Toward Better Environmental Decision-Making, Natl. Acad. Press, Washington, D. C.
44. Newman, A. J., K. Sampson, M. P. Clark, A. Bock, R. J. Viger, and D. Blodgett (2014), A large-sample watershed-scale hydrometeorological dataset for the contiguous, UCAR/NCAR, Colo., Boulder, doi:10.5065/D6MW2F4D.
45. Newman, A. J., et al. (2015), Development of a large-sample watershed-scale hydrometeorological dataset for the contiguous USA: Dataset characteristics and assessment of regional variability in hydrologic model performance, Hydrol. Earth Syst. Sci., 19, 209–223, doi:10.5194/hess-19-209-2015.
46. Office of Management and Budget (OMB), Incorporating ecosystem services into federal decision making, OMB Memo. M-16-01, 7 October 2015. [Available at https://www.whitehouse.gov/sites/default/files/omb/memoranda/2016/m-16-01.pdf.]
47. Ogden, F. L., T. D. Crouch, R.F. Stallard, and J. S. Hall (2013), Effect of land cover and use on dry season river runoff, runoff efficiency, and peak storm runoff in the seasonal tropics of Central Panama, Water Resour. Res., 49, 8443–8462, doi:10.1002/2013WR013956.
48. Ouyang, Z., et al. (2016), Improvements in ecosystem services from investments in natural capital, Science, 352(6292), 1455–1459.
49. Poff, N. L., J. D. Allan, M. B. Bain, J. R. Karr, K. L. Prestegaard, B. D. Richter, R. E. Sparks, and J. C. Stromber (1997), The natural flow regime, A paradigm for river conservation and restoration, BioScience, 47(11), 769–784.
50. Porporato, A., E. Daly, and I. Rodriguez-Iturbe (2004), Soil water balance and ecosystem response to climate change, Am. Nat., 164(5), 625–632.
51. Price, K. (2011), Effects of watershed topography, soils, land use, and climate on baseflow hydrology in humid regions: A review, Prog. Phys. Geogr., 35(4), 465–492, doi:10.1177/0309133311402714.
52. Price, K., C. R. Jackson, A. J. Parker, T. Reitan, J. Dowd, and M. Cyterski (2011), Effects of watershed land use and geomorphology on stream low flows during severe drought conditions in the southern Blue Ridge Mountains, Georgia and North Carolina, United States, Water Resour. Res., 47, W02516, doi:10.1029/2010WR009340.
53. Rumsey, C. A., M. P. Miller, D. D. Susong, F. D. Tillman, and D. W. Anning (2015), Regional scale estimates of baseflow and factors influencing baseflow in the Upper Colorado River Basin, J. Hydrol., 4, 91–107, doi:10.1016/j.erjh.2015.04.008.
54. Saksa, P. (2015), Forest management, wildfire, and climate impacts on the hydrology of Sierra Nevada mixed-conifer watersheds, PhD dissertation, Univ. of California, Merced, Cailf. [Available at http://escholarship.org/uc/item/90w5r5qs.]
55. Salati, E., A. Dall'Olio, E. Matsui, and J. Gat (1979), Recycling of water in the Amazon Basin: An isotopic study, Water Resour. Res., 15(5), 1250–1258, doi:10.1029/WR015i005p01250
56. Scott, D. F., and W. Lesch (1997), Streamflow responses to afforestation with Eucalyptus grandis and Pinus patula and to felling in the Mokobulaan experimental catchments, South Africa, J. Hydrol., 199, 360–377.
57. Sharp, R., et al. (2015), InVEST 3.2.0 User's Guide, The Nat. Capital Project, Stanford Univ., Univ. of Minnesota, The Nat. Conservancy, and World Wildlife Fund, Stanford, Calif. [Available at http://www.naturalcapitalproject.org/invest/, accessed on 14 Mar. 2016.]
58. Smahktin, V. U. (2001), Low flow hydrology: A review, J. Hydrol., 240, 147–186.
59. Soil Survey Staff (2016), Natural Resources Conservation Service, U.S. Dep. of Agric., Web Soil Surv. [Available at https://websoilsurvey.sc.egov.usda.gov/App/Help/Citation.htm, accessed 1 Jun. 2016.]
60. Szczypta, C., S. Gascoin, T. Houet, O. Hagolle, J.-F. Dejoux, C. Vigneau, and P. Fanise (2015), Impact of climate and land cover changes on snow cover in a small Pyrenean catchment, J. Hydrol., 521, 84–99, doi:10.1016/j.jhydrol.2014.11.060.
61. Tallis, H., and S. Polasky (2011), How much information do managers need? The sensitivity of ecosystem service decisions to model complexity, Natural Capital, Theory and Practice of Mapping Ecosystem Services, edited by P. Kareiva, et al., chap. 15, Oxford Univ. Press, New York.
62. Terrado, M., V. Acuña, D. Ennaanay, H. Tallis, and S. Sabater (2013), Impact of climate extremes on hydrological ecosystem services in a heavily humanized Mediterranean basin, Ecol. Indic., vol. 37, pp. 199–209, doi:10.1016/j.ecolind.2013.01.016.
63. Thomas, Jr., H. A., and R. P. Burden (1963), Operations Research in Water Quality Management, pp. 1–17, Harvard Water Resour. Group, Cambridge, Mass.
64. Vigerstol, K. L., and J. E. Aukema (2011), A comparison of tools for modeling freshwater ecosystem services, J. Environ. Manage., 92, 2403–2409.
65. Villa, F., K. J. Bagstad, B. Voight, G. W. Johnson, R. Portela, M. Honzák, and D. Batker (2014), A methodology for adaptable and robust ecosystem service assessment, PLoS One, 9(3), e91001, doi:10.1371/journal.pone.0091001.
66. Vogel, R. M., M. Lane, R. S. Ravindiran, and P. Kirshen (1999), Storage reservoir behavior in the United States, J. Water Resour. Plann. Manage., 125(5), 245–254.
67. World Meteorological Organization (WMO) (2008), Manual on low-flow estimation and prediction, Oper. Hydrol. Rep. 50, 136 pp., World Meteorological Organization, Geneva, Switzerland.
68. Yin, R., C. Liu, M. Zhao, S. Yao, H. Liu, 2014. The implementation and impacts of China's largest payment for ecosystem services program as revealed by longitudinal household data, Land Use Policy, 40, 45–55, doi:10.1016/j.landusepol.2014.03.002.
69. Zhang, L., W. R. Dawes, G. R. Walker (2001), Response of mean annual evapotranspiration to vegetation changes at catchment scale, Water Resour. Res., 37(3), 701–708.