Abstract
Ecosystem-based Management (EBM) is an approach that includes different management priorities and requires a balance between anthropogenic and ecological resource demands. Indicators can be used to monitor ecosystem status and trends, and assess whether projects and/or programs are leading to the achievement of management goals. As such, the careful selection of a suite of indicators is a crucial exercise. In this paper we describe an indicator evaluation and selection process designed to support the EBM approach in Puget Sound. The first step in this process was the development of a general framework for selecting indicators. The framework, designed to transparently include both scientific and policy considerations into the selection and evaluation process, was developed and then utilized in the organization and determination of a preliminary set of indicators. Next, the indicators were assessed against a set of nineteen distinct criteria that describe the model characteristics of an indicator. A literature review was performed for each indicator to determine the extent to which it satisfied each of the evaluation criteria. The result of each literature review was summarized in a numerical matrix, allowing comparison, and demonstrating the extent of scientific reliability. Finally, an approach for ranking indicators was developed to explore the effects of intended purpose on indicator selection. We identified several sets of scientifically valid and policy-relevant indicators that included metrics such as annual-7 day low flow and water system reliability, which are supportive of the EBM approach in the Puget Sound.
Similar content being viewed by others
References
Alberti M, Booth D, Hill K, Coburn B, Avolio C, Coe S, Spirandelli D (2007) The impact of urban patterns on aquatic ecosystems: an empirical analysis in Puget Lowland sub-basins. Landscape and Urban Planning 80(4):345–361
Alila Y, Kuras PK, Schnorbus M, Hudson R (2009) Forests and floods: a new paradigm sheds light on age-old controversies. Water Resources Research 45. doi:10.1029/2008wr007207
Arthington AH, Bunn SE, Poff NL, Naiman RJ (2006) The challenge of providing environmental flow rules to sustain river ecosystems. Ecological Applications 16(4):1311–1318
Bach A (2002) Snowshed contributions to the Nooksack river watershed, North Cascades Range, Washington. Geographical Review 92(2):192–212
Barnett TP, Pierce DW, Hidalgo HG, Bonfils C, Santer BD, Das T, Bala G, Wood AW, Nozawa T, Mirin AA, Cayan DR, Dettinger MD (2008) Human-induced changes in the hydrology of the western United States. Science 319(5866):1080–1083. doi:10.1126/science.1152538
Battin J, Wiley MW, Ruckelshaus MH, Palmer RN, Korb E, Bartz KK, Imaki H (2007) Projected impacts of climate change on salmon habitat restoration. Proceedings of the National Academy of Sciences of the United States of America 104(16):6720–6725. doi:10.1073/pnas.0701685104
Bauer SB, Ralph SC (2001) Strengthening the use of aquatic habitat indicators in Clean Water Act programs. Fisheries 26(6):14–25
Beechie T, Buhle E, Ruckelshaus M, Fullerton A, Holsinger L (2006) Hydrologic regime and the conservation of salmon life history diversity. Biological Conservation 130(4):560–572. doi:10.1016/j.biocon.2006.01.019
Bilby RE, Mollot LA (2008) Effect of changing land use patterns on the distribution of coho salmon (Oncorhynchus kisutch) in the Puget Sound region. Canadian Journal of Fisheries and Aquatic Sciences 65(10):2138–2148. doi:10.1139/f08-113
Bond NR, Downes BJ (2003) The independent and interactive effects of fine sediment and flow on benthic invertebrate communities characteristic of small upland streams. Freshwater Biology 48(3):455–465
Booth DB (2005) Challenges and prospects for restoring urban streams: a perspective from the Pacific Northwest of North America. Journal of the North American Benthological Society 24(3):724–737
Booth DB, Karr JR, Schauman S, Konrad CP, Morley SA, Larson MG, Burges SJ (2004) Reviving urban streams: Land use, hydrology, biology, and human behavior. Journal of the American Water Resources Association 40(5):1351–1364
Bosch JM, Hewlett JD (1982) A review of catchment experiments to determine the effect of vegetation changes on water yield and evapo-transpiration. Journal of Hydrology 55(1–4):3–23
Bowling LC, Storck P, Lettenmaier DP (2000) Hydrologic effects of logging in western Washington, United States. Water Resources Research 36(11):3223–3240
Bunn SE, Arthington AH (2002) Basic principles and ecological consequences of altered flow regimes for aquatic biodiversity. Environmental Management 30(4):492–507. doi:10.1007/s00267-002-2737-0
Burges SJ, Wigmosta MS, Meena JM (1998) Hydrological effects of land-use change in a zero-order catchment. Journal of Hydrologic Engineering 3(2):86–97
California Ocean Science Trust (2010) North Central Coast MPA Monitoring Plan. MPA Monitoring Enterprise. California Ocean Science Trust, Oakland
Casola JH, Cuo L, Livneh B, Lettenmaier DP, Stoelinga MT, Mote PW, Wallace JM (2009) Assessing the impacts of global warming on snowpack in the Washington cascades. Journal of Climate 22(10):2758–2772. doi:10.1175/2008jcli2612.1
Cassin JL, Fuerstenberg R, Tear L, Whiting K, St. John D, Murray B, Burkey J (2005) Development of hydrological and biological indicators of flow alteration in Puget Sound lowland streams. King County Water and Land Resources Division, Seattle
Cayan DR (1996) Interannual climate variability and snowpack in the western United States. Journal of Climate 9(5):928–948
Center Heinz (2008) The State of the nation’s ecosystems 2008: measuring the lands, waters, and living resources of the United States. Island Press, Washington, DC
Conservation Measures Partnership (2007) Open Standards for the Practice of Conservation, Version 2.0
Cuo L, Lettenmaier DP, Mattheussen BV, Storck P, Wiley M (2008) Hydrologic prediction for urban watersheds with the distributed hydrology-soil-vegetation model. Hydrological Processes 22(21):4205–4213. doi:10.1002/hyp.7023
Cuo L, Lettenmaier DP, Alberti M, Richey JE (2009) Effects of a century of land cover and climate change on the hydrology of the Puget Sound basin. Hydrological Processes 23(6):907–933. doi:10.1002/hyp.7228
Davis GE (2005) National park stewardship and ‘vital signs’ monitoring: a case study from Channel Islands National Park, California. Aquatic Conservation-Marine and Freshwater Ecosystems 15(1):71–89. doi:10.1002/aqc.643
DeGasperi CL, Berge HB, Whiting KR, Burkey JJ, Cassin JL, Fuerstenberg RR (2009) Linking hydrological alteration to biological impairment in urbanizing streams of the Puget Lowland, Washington, USA. Journal of the American Water Resources Association 45(2):512–533. doi:10.1111/j.1752-1688.2009.00306.x
deReynier YL, Levin PS, Shoji NL (2010) Bringing stakeholders, scientists, and managers together through an integrated ecosystem assessment process. Marine Policy 34(3):534–540. doi:10.1016/j.marpol.2009.10.010
Done TJ, Reichelt RE (1998) Integrated coastal zone and fisheries ecosystem management: generic goals and performance indices. Ecological Applications 8(1):S110–S118
Doren RF, Trexler JC, Gottlieb AD, Harwell MC (2009) Ecological indicators for system-wide assessment of the greater everglades ecosystem restoration program. Ecological Indicators 9:S2–S16. doi:10.1016/j.ecolind.2008.08.009
Ebbert JC, Embrey SS, Black RW, Tesoriero AJ, Haggland AL (2000) Water quality in the Puget Sound Basin, Washington and British Columbia, 1996–98. U.S. Geological Survey, Tacoma
Elsner MM, Cuo L, Voisin N, Deems JS, Hamlet AF, Vano JA, Mickelson KEB, Lee SY, Lettenmaier DP (2010) Implications of 21st century climate change for the hydrology of Washington State. Climate Change 102(1–2):225–260. doi:10.1007/s10584-010-9855-0
Fancy SG, Gross JE, Carter SL (2009) Monitoring the condition of natural resources in US national parks. Environmental Monitoring and Assessment 151(1–4):161–174. doi:10.1007/s10661-008-0257-y
Fleishman E, Murphy DD (2009) A realistic assessment of the indicator potential of butterflies and other charismatic taxonomic groups. Conservation Biology 23(5):1109–1116. doi:10.1111/j.1523-1739.2009.01246.x
Fleming SW (2007) Quantifying urbanization-associated changes in terrestrial hydrologic system memory. Acta Geophysica 55(3):359–368. doi:10.2478/s11600-007-0016-4
Greene CM, Jensen DW, Pess GR, Steel EA (2005) Effects of environmental conditions during stream, estuary, and ocean residency on Chinook salmon return rates in the Skagit River, Washington. Transactions of the American Fisheries Society 134(6):1562–1581. doi:10.1577/t05-037.1
Hamlet AF, Lettenmaier DP (1999) Effects of climate change on hydrology and water resources in the Columbia River basin. Journal of the American Water Resources Association 35(6):1597–1623
Hamlet AF, Mote PW, Clark MP, Lettenmaier DP (2005) Effects of temperature and precipitation variability on snowpack trends in the western United States. Journal of Climate 18(21):4545–4561
Harwell MA, Myers V, Young T, Bartuska A, Gassman N, Gentile JH, Harwell CC, Appelbaum S, Barko J, Causey B, Johnson C, McLean A, Smola R, Templet P, Tosini S (1999) A framework for an ecosystem integrity report card. BioScience 49(7):543–556
Jackson LE, Kurtz J, Fisher WS (2000) Evaluation guidelines for ecological indicators. EPA/620/R-99/005 US Environmental Protection Agency, Office of Research and Development, Research Triangle Park, NC p 107
Jennings S (2005) Indicators to support an ecosystem approach to fisheries. Fish and Fisheries 6(3):212–232
Jorgensen SE, Costanza R, Xu FL (2005) Handbook of ecological indicators for assessment of ecosystem health. CRC Press, Boca Raton
Kaufman L, Karrer LB, Peterson CH (2009) Monitoring and evaluation. In: McLeod KL, Leslie H (eds) Ecosystem-based management for the oceans. Island Press, Washington, DC, pp 115–128
Kershner J, Samhouri JF, James CA, Levin PS (2011) Selecting indicator portfolios for marine species and food webs: a Puget Sound case study. PLoS ONE 6(10):e25248
Kinsel C, Zimmerman M, Kishimoto L, Topping P (2008) 2007 Skagit River wild salmon production evaluation annual report. Washington Department of Fish and Wildlife, Olympia
Kiyohara K, Zimmerman M (2009) Evaluation of downstream migrant salmon production in 2008 from the Cedar River and Bear Creek. Washington Department of Fish and Wildlife, Olympia
Konrad CP, Booth D (2002) Hydrologic trends associated with urban development for selected streams in the Puget Sound Basin. Western Washington. U.S. Geological Survey, Tacoma
Konrad CP, Booth DB, Burges SJ (2005) Effects of urban development in the Puget Lowland, Washington, on interannual streamflow patterns: consequences for channel form and streambed disturbance. Water Resources Research 41(7):15. doi:10.1029/2005wr004097
Kurtz JC, Jackson LE, Fisher WS (2001) Strategies for evaluating indicators based on guidelines from the Environmental Protection Agency’s Office of Research and Development. Ecological Indicators 1(1):49–60
Landres PB, Verner J, Thomas JW (1988) Ecological uses of vertebrate indicator species—a critique. Conservation Biology 2(4):316–328
Lane RC (2009) Estimated water use in Washington, 2005. Scientific investigations report 2009–5128. U.S. Geological Survey, Tacoma
Leith RM, Whitfield PH (2000) Some effects of urbanization on streamflow records in a small watershed in the lower Fraser Valley, BC. Northwest Science 74(1):69–75
Lettenmaier DP, Wood AW, Palmer RN, Wood EF, Stakhiv EZ (1999) Water resources implications of global warming: a US regional perspective. Climate Change 43(3):537–579
Leung LR, Qian Y, Bian XD, Washington WM, Han JG, Roads JO (2004) Mid-century ensemble regional climate change scenarios for the western United States. Climate Change 62(1–3):75–113
Levin P, Fogarty M, Matlock G, Ernst M (2008) Integrated ecosystem assessments. National Oceanic and Atmospheric Administration, Seattle
Levin PS, Fogarty MJ, Murawski SA, Fluharty D (2009) Integrated ecosystem assessments: developing the scientific basis for ecosystem-based management of the ocean. PLoS Biology 7(1):23–28. doi:10.1371/journal.pbio.1000014
Levin PS, Damon M, Samhouri JF (2010a) Developing meaningful marine ecosystem indicators in the face of a changing climate. Journal of Law, Science, and Policy. Marine Issue. http://www.sjlsp.org/?q=node/55. Accessed 15 Jan 2011
Levin PS, James CA, Kershner J, O’Neill SM, Francis T, Samhouri J, Harvey C, Brett MT (2010b) Puget Sound Science Update. Chapter 1A. The Puget Sound Ecosystem: What is Our Desired Future and How Do We Measure Progress Along the Way? Puget Sound Partnership, Tacoma, WA
Lindenmayer DB, Likens GE (2010) The science and application of ecological monitoring. Biological Conservation 143(6):1317–1328. doi:10.1016/j.biocon.2010.02.013
Low G (2003) Landscape-scale conservation—a practitioner’s guide. The Nature Conservancy, Arlington
Lubchenco J, Sutley N (2010) Proposed US Policy for Ocean, Coast, and Great Lakes Stewardship. Science 328(5985):1485–1486. doi:10.1126/science.1190041
Mathews SB, Olson FW (1980) Factors affecting Puget Sound coho salmon (Oncorhynchus kisutch) runs. Canadian Journal of Fisheries and Aquatic Sciences 37(9):1373–1378
Mazor RD, Purcell AH, Resh VH (2009) Long-term variability in bioassessments: a twenty-year study from two Northern California streams. Environmental Management 43(6):1269–1286. doi:10.1007/s00267-009-9294-8
McCarthy MA, Thompson CJ, Hauser C, Burgman MA, Possingham HP, Moir ML, Tiensin T, Gilbert M (2010) Resource allocation for efficient environmental management. Ecology Letters 13(10):1280–1289. doi:10.1111/j.1461-0248.2010.01522.x
Milly PCD, Betancourt J, Falkenmark M, Hirsch RM, Kundzewicz ZW, Lettenmaier DP, Stouffer RJ (2008) Climate change—stationarity is dead: whither water management? Science 319(5863):573–574. doi:10.1126/science.1151915
Montgomery DR, Buffington JM, Peterson NP, SchuettHames D, Quinn TP (1996) Stream-bed scour, egg burial depths, and the influence of salmonid spawning on bed surface mobility and embryo survival. Canadian Journal of Fisheries and Aquatic Sciences 53(5):1061–1070
Morley SA, Karr JR (2002) Assessing and restoring the health of urban streams in the Puget Sound basin. Conservation Biology 16(6):1498–1509
Moscrip AL, Montgomery DR (1997) Urbanization, flood frequency, and salmon abundance in Puget Lowland streams. Journal of the American Water Resources Association 33(6):1289–1297
Mote P, Canning D, Fluharty D, Francis R, Franklin J, Hamlet A, Hershman M, Holmberg M, Ideker KG, Keeton W, Lettenmaier D, Leung R, Mantua N, Miles E, Noble B, Parandvash H, Peterson DW, Snover A, Willard S (1999) Impacts of climate variability and change inthe Pacific Northwest. The JISAO Climate Impacts Group, University of Washington, Seattle
Mote PW, Parson E, Hamlet AF, Keeton WS, Lettenmaier D, Mantua N, Miles EL, Peterson D, Peterson DL, Slaughter R, Snover AK (2003) Preparing for climatic change: the water, salmon, and forests of the Pacific Northwest. Climate Change 61(1–2):45–88
Mote P, Hamlet A, Salathe E (2008) Has spring snowpack declined in the Washington cascades? Hydrology and Earth System Sciences 12(1):193–206
Naiman RJ, Latterell JJ, Pettit NE, Olden JD (2008) Flow variability and the biophysical vitality of river systems. Comptes Rendus Geoscience 340(9–10):629–643. doi:10.1016/j.crte.2008.01.002
Niemeijer D, de Groot RS (2008) A conceptual framework for selecting environmental indicator sets. Ecological Indicators 8(1):14–25. doi:10.1016/j.ecolind.2006.11.012
Noss RF (1990) Indicators for monitoring biodiversity: a hierarchical approach. Conservation Biology 4(4):355–364
O’Connor JS, Dewling RT (1986) Indices of marine degradation: their utility. Environmental Management 10(3):335–343
Olden JD, Poff NL (2003) Redundancy and the choice of hydrologic indices for characterizing streamflow regimes. River Research and Applications 19(2):101–121. doi:10.1002/rra.700
O’Neill SM, Bravo CF, Collier TK (2008) Environmental Indicators for the Puget Sound Partnership: A Regional Effort to Select Provisional Indicators (Phase 1). Summary Report. (trans: Center NFS). National Oceanic and Atmospheric Administration, Seattle, WA
Orians GH, Policansky D (2009) Scientific Bases of macroenvironmental indicators. Annual Review of Environment and Resources 34:375–404. doi:10.1146/annurev.environ.020608.151439
Paul MJ, Meyer JL (2001) Streams in the urban landscape. Annual Review of Ecology and Systematics 32:333–365
Pess GR, Montgomery DR, Steel EA, Bilby RE, Feist BE, Greenberg HM (2002) Landscape characteristics, land use, and coho salmon (Oncorhynchus kisutch) abundance, Snohomish River, Wash., USA. Canadian Journal of Fisheries and Aquatic Sciences 59(4):613–623. doi:10.1139/f02-035
Petts GE (2009) Instream flow science for sustainable river management. Journal of the American Water Resources Association 45(5):1071–1086. doi:10.1111/j.1752-1688.2009.00360.x
Poff NL, Zimmerman JKH (2010) Ecological responses to altered flow regimes: a literature review to inform the science and management of environmental flows. Freshwater Biology 55(1):194–205. doi:10.1111/j.1365-2427.2009.02272.x
Poff NL, Allan JD, Bain MB, Karr JR, Prestegaard KL, Richter BD, Sparks RE, Stromberg JC (1997) The natural flow regime. BioScience 47(11):769–784
Polebitski AS, Palmer RN (2010) Seasonal residential water demand forecasting for census tracts. Journal of Water Resources Planning and Management 136(1):27–36
Puget Sound Partnership (2008a) Puget Sound action agenda. Protecting and restoring the Puget Sound ecosystem by 2020. Tacoma, WA
Puget Sound Partnership (2008b) Water quantity topic forum. Tacoma, WA
Puget Sound Partnership (2009a) Ecosystem status and trends. Tacoma, WA
Puget Sound Partnership (2009b) Identification of ecosystem components and their indicators and targets. Tacoma, WA
Puget Sound Partnership (2010a) Development of the dashboard of ecosystem indicators for Puget Sound. Tacoma, WA
Puget Sound Partnership (2010b) Puget sound dashboard of ecosystem indicators. http://www.psp.wa.gov/pm_dashboard.php. Accessed 9 Dec 2010
Rapport DJ, Regier HA, Hutchinson TC (1985) Ecosystem behavior under stress. American Naturalist 125(5):617–640
Rice J (2003) Environmental health indicators. Ocean and Coastal Management 46(3–4):235–259. doi:10.1016/s0964-5691(03)00006-1
Rice JC, Rochet M-J (2005) A framework for selecting a suite of indicators for fisheries management. ICES Journal of Marine Science 62(3):516–527. doi:10.1016/j.icesjms.2005.01.003
Richter BD, Baumgartner JV, Powell J, Braun DP (1996) A method for assessing hydrologic alteration within ecosystems. Conservation Biology 10(4):1163–1174
Roni P, Hanson K, Beechie T (2008) Global review of the physical and biological effectiveness of stream habitat rehabilitation techniques. North American Journal of Fisheries Management 28(3):856–890. doi:10.1577/m06-169.1
Savoca ME, Johnson KH, Fasser ET (2009) Shallow groundwater movement in the Skagit River Delta Area, Skagit County. Geological Survey, Washington
Schuett-Hames DE, Peterson NP, Conrad R, Quinn TP (2000) Patterns of gravel scour and fill after spawning by chum salmon in a western Washington stream. North American Journal of Fisheries Management 20(3):610–617
Scott JB, Steward CR, Stober QJ (1986) Effects of urban-development on fish population-dynamics in Kelsey Creek, Washington. Transactions of the American Fisheries Society 115(4):555–567
Simmons DL, Reynolds RJ (1982) Effects of urbanization on base-flow of selected south-shore streams, Long Island, New York. Water Resources Bulletin 18(5):797–805
Simonds FW, Longpré CI, Justin GB (2004) Ground-water system in the Chimacum Creek Basin and surface water/ground water interaction in Chimacum and Tarboo Creeks and the Big and Little Quilcene Rivers, Eastern Jefferson County, Washington. U. S. Geological Survey, Tacoma, WA
Smith ADM, Fulton EJ, Hobday AJ, Smith DC, Shoulder P (2007) Scientific tools to support the practical implementation of ecosystem-based fisheries management. ICES Journal of Marine Science 64(4):633–639. doi:10.1093/icesjms/fsm041
Stewart IT, Cayan DR, Dettinger MD (2004) Changes in snowmelt runoff timing in western North America under a ‘business as usual’ climate change scenario. Climate Change 62(1–3):217–232
Stewart IT, Cayan DR, Dettinger MD (2005) Changes toward earlier streamflow timing across western North America. Journal of Climate 18(8):1136–1155
Stover SC, Montgomery DR (2001) Channel change and flooding, Skokomish River, Washington. Journal of Hydrology 243(3–4):272–286
Thorne RE, Ames JJ (1987) A note on variability of marine survival of sockeye salmon (Oncorhynchus nerka) and effects of flooding on spawning success. Canadian Journal of Fisheries and Aquatic Sciences 44(10):1791–1795
Topping P, Zimmerman M, Kishimoto L (2009) Green River Juvenile Salmonoid Production Evaluation—2008 Annual Report. Washington Department of Fish and Wildlife, Olympia
United States Geological Survey (2010) USGS Washington Water Science Center—Surface Water. http://wa.water.usgs.gov/realtime/current.html. Accessed 22 Feb 2010
U.S. Environmental Protection Agency (2002) A framework for assessing and reporting on ecological condition: a science advisory board report. Washington, D.C
U.S. Environmental Protection Agency (2008) EPA’s 2008 Report on the Environment. National Center for Environmental Assessment, Washington, DC; EPA/600/R-07/045F
Vano JA, Voisin N, Cuo L, Hamlet AF, Elsner MM, Palmer RN, Polebitski A, Lettenmaier DP (2010) Climate change impacts on water management in the Puget Sound region, Washington State, USA. Climate Change 102(1–2):261–286. doi:10.1007/s10584-010-9846-1
Walmsley JJ (2002) Framework for measuring sustainable development in catchment systems. Environmental Management 29(2):195–206
Waples RS, Beechie T, Pess GR (2009) Evolutionary history, habitat disturbance regimes, and anthropogenic changes: what do these mean for resilience of Pacific Salmon Populations? Ecology and Society 14(1):3
Water Supply Forum (2009) Regional water supply outlook. Bellevue, WA
Wiley MW, Palmer RN (2008) Estimating the impacts and uncertainty of climate change on a municipal water supply system. Journal of Water Resources Planning and Management, ASCE 134(3):239–246. doi:10.1061/(asce)0733-9496(2008)134:3(239
Acknowledgments
The authors thank Mary Ruckelshaus and members of the Puget Sound Partnership Science Panel for comments on earlier drafts of this work. We are indebted to many scientists throughout Puget Sound who have worked on ecosystem indicators. This works stands on their shoulders. PSL thanks C. Horner for highlighting numerous alternative indicators of success. We would also like to thank Dr. Mazor and the one anonymous reviewer for their thoughtful review of this manuscript. This work was supported by a grant from the Puget Sound Partnership and the Puget Sound Institute.
Author information
Authors and Affiliations
Corresponding author
Appendix A
Appendix A
Focusing the List of Candidate Indicators of Hydrologic Flow Regime
The PSP identified the following issues of potential concern related to the hydrologic flow regime in Puget Sound:
-
Changes in hydrology related to land use;
-
Climate change; and
-
In-stream flows supportive of individual species and food webs, including stream and floodplain habitats (Puget Sound Partnership 2008b, a)
A literature review was performed based on these stated management concerns to determine: 1) which of the indicators of hydraulic alteration would be most appropriate based on the predicted or observed alternations related to land use change and climate change, and 2) which aspects of the flow regime are most relevant to the aquatic species in Puget Sound streams and rivers. The results are summarized below.
The Puget Sound basin includes at least 13 major river systems, which can be classified as rainfall-dominated, snowmelt-dominated, or transitional (Mote and others 1999; Beechie and others 2006; Ebbert and others 2000). Rainfall-dominated rivers exhibit peak flows during winter; snowmelt-dominated rivers have peak flows in late-spring and late-fall with low winter flows. Transitional rivers exhibit less pronounced high or low flows in the late-fall and late-spring, and winter. Hydrologic flow regimes in Puget Sound rivers have been altered through the construction of dams for flood control or power generation, or by changes in land cover and climate. Flows in the Skagit, Nisqually, Green, Skokomish, and Cedar rivers are regulated by dams (Puget Sound Partnership 2009a).
A.1 Indicators of Hydrologic Alteration – Climate Change
Puget Sound river hydrology may be affected by climate change. Precipitation in the region occurs predominately in the winter months. The accumulation of snow in the mountains is a primary storage mechanism, particularly for snowmelt-dominated and transitional river systems. It has been estimated that upwards of 70% of total stream discharge in the Western United States is from melting snowpack (Cayan 1996). Glacier-derived melt-water can also be important sources of summer flow (Bach 2002). Climate change assessments have predicted increased winter and spring temperatures resulting in decreased snowpack storage in the mountains, increased winter runoff as more precipitation falls as rain, and lower summer flows (Hamlet and others 2005; Hamlet and Lettenmaier 1999; Lettenmaier and others 1999; Mote and others 1999; Leung and others 2004; Barnett and others 2008). Climate change is not predicted to impact total annual precipitation (Elsner and others 2010). Hydrologic flow patterns may change from snowmelt-dominated and transitional to rainfall-dominated (Mote and others 1999). Decline in snowpack or changes in stream flow timing may be problematic for regional water supplies as most systems have been developed based on historic flow patterns (Milly and others 2008).
Results of modeling, multivariate statistical analysis, and snowpack temperature sensitivity analysis indicate that (1) there are real, long-term trends of decreasing snowpack, particularly in lower elevations, (2) the long-term trends are associated with changes in temperature and not rainfall, and (3) the snowpack will continue to decrease in the future (Hamlet and others 2005; Mote and others 2008; Barnett and others 2008; Mote and others 2003; Elsner and others 2010). It is not clear, however, if future trends will be readily discernable due to a high level of interannual variability (Casola and others 2009).
Related work found significant trends towards earlier runoff in many rivers and streams in the Pacific Northwest (Stewart and others 2004). While stream flow timing was partially controlled by long-term climate patterns such as the Pacific Decadal Oscillation, there remained a significant part of the variation that was explained by a longer-term warming trend in spring temperatures, possibly associated with anthropogenic forcings (Stewart and others 2005; Barnett and others 2008).
Based on the observed and predicted impacts of climate change, we concluded that it would be appropriate to evaluate measures of spring snowpack, stream flow timing, and summer low flows as indicators of hydrologic alteration (see Table 4).
A.2 Indicators of Hydrologic Alteration – Land Use/Urbanization
Alterations in land use can affect stream and river hydrology in various ways (Poff and others 1997). Urbanization is associated with the increase of impervious surface area, which can result in increases the severity and frequency of peak stream flows by reducing infiltration and increasing runoff; overall annual stream flow volumes are generally not affected (Konrad and others 2005; Cuo and others 2009; Konrad and Booth 2002; Booth 2005; Cuo and others 2008; Moscrip and Montgomery 1997; Paul and Meyer 2001). Urbanization my lead to lower base flows from reduced infiltration and the construction of storm drains (Simmons and Reynolds 1982; Cuo and others 2008). Logging of forested lands may increase annual flow by reducing evapotranspiration in the watershed though other hydrologic changes, such increasing flooding, are disputed (Bosch and Hewlett 1982; Bowling and others 2000; Alila and others 2009). Land use changes in river basins may lead to alterations in channel morphology which can exacerbate flooding potential without affecting in stream flow (Stover and Montgomery 2001).
Comparisons of a forested and a developed basin in the Puget Sound lowlands found a higher degree of runoff from the developed basin, suggesting lower rates of infiltration (Burges and others 1998). Similarly, others have found increased monthly stream flow, higher peak flows, and increased flood frequency in streams within developed or urbanized watersheds compared to watersheds which remained undeveloped (Leith and Whitfield 2000; Moscrip and Montgomery 1997). Stream flashiness, or the rate at which a stream responds to precipitation events in the watershed, has been shown to significantly increase in urbanized basins in the Puget Sound compared to undeveloped basins (Fleming 2007; Konrad and Booth 2002).
Cuo and others (2009) utilized a Distributed Hydrology-Soil-Vegetation Model in order to determine the relative effects of land cover and climate change on the flow patterns in Puget Sound streams. They found that the relative importance of temperature and land cover differed between the upland and lowland basins. In the lowland basins land cover changes were more important and generally resulted in higher peak flows and lower summer flows, primarily from increased runoff. Both land use change and climate effects were more important in the upland basins. Climate effects were more important in the transitional zones and resulted in higher winter flows, earlier spring peak flows, and lower summer flows.
Based on the observed and predicted impacts of land use alterations and urbanization, we concluded that it would be appropriate to evaluate measures of peak flow, summer low flow, and flashiness as indicators of hydrologic alteration (see Table 4).
A.3 Indicators of Hydrologic Alteration – Ecological Effects
Alterations of river and stream hydrology can affect aquatic ecosystems by changing physical habitats, disrupting the natural connectivity of habitats, or by facilitating the successful invasion of exotic species (Bunn and Arthington 2002). Native species may have evolved according to the pressures and timing of natural flow regimes; altering flow patterns may negatively affect those species (Waples and others 2009). Many studies have focused on evaluating the biological effects of altered hydrology in the Puget Sound, particularly with the regionally-iconic salmon species; these studies suggest that peak flows and flashiness may be important.
Increased peak flows may affect salmon survival by disrupting redds, increasing deposition of fine sediments and reducing dissolved oxygen transfer, reducing growth rates, or increasing downstream displacement and mortality (Waples and others 2009). Increases in peak flow particularly during the egg incubation period may significantly contribute to embryo mortality (Thorne and Ames 1987; Topping and others 2009; Schuett-Hames and others 2000; Greene and others 2005; Montgomery and others 1996; Kinsel and others 2008; Kiyohara and Zimmerman 2009). Conversely, increased summer flows have been shown to be positively correlated with coho run strength in Puget Sound likely due to increased habitat availability (Mathews and Olson 1980; Battin and others 2007).
Increased urbanization (i.e., land use changes) is also associated with decreased salmon populations (Moscrip and Montgomery 1997; Pess and others 2002; Bilby and Mollot 2008) and altered species compositions (Scott and others 1986). However, it is not yet clear whether hydraulic alterations are the primary driver, or whether the biological effects result from other potentially deleterious impacts such as increased pollution, nutrient runoff and/or channel straightening (Paul and Meyer 2001).
Several studies have evaluated the effects of urbanization and altered hydrology on stream benthic communities. Laboratory studies have shown that flow alternations are sufficient to alter benthic community structure (Bond and Downes 2003), though it has been difficult to demonstrate clear, statistically robust relationships between flow metrics and community structure, commonly evaluated through a benthic index of biological integrity (B-IBI). Field studies in Puget Sound lowland streams reported correlations between B-IBI and flashiness but not peak flow (Morley and Karr 2002; Booth and others 2004; Cassin and others 2005; DeGasperi and others 2009). None of the hydrologic indicators were good predictors of B-IBI. Similar work suggested that urbanization and increased total impervious area (TIA) may constrain the potential benthic diversity, and that patch size and road crossings may also be important (Booth and others 2004; Morley and Karr 2002; Alberti and others 2007). From a management perspective additional research may be required to utilize B-IBI as the justification for choosing specific metrics of hydrologic alteration for reporting purposes. There is no demonstrated relationship between B-IBI and the condition of vertebrate species (Morley and Karr 2002), which are clearly of higher management concern, nor is the natural variability well understood (Mazor and others 2009).
Although this literature review suggests that peak flows (specifically during periods of salmonid egg incubation), summer low flows, and flashiness may all be suitable indicators of hydrologic alteration due to their relationship to specific ecological responses, there remains considerable uncertainty. Poff and Zimmerman (2010) reviewed 165 papers to investigate the possibility of developing quantitative relationships between hydrologic alterations and ecological response and found that, while there were general relationships (e.g., a decline in fish abundance and diversity with alterations in flow magnitude) they were unable to support any quantitative relationships. Similarly, Bauer and Ralph (2001) evaluated the potential of incorporating aquatic habitat indicators, including those related to flow regime, into legal standards for water quality. They concluded that the effects of low flow on habitat were not sufficiently well understood for the development of numeric criteria, but could support the development of some narrative standards; the relationships between peak flows and habitat were even less certain.
Instream flow rules have been developed as a management response to the recognized need to balance competing human and ecological demands for freshwater resources (Petts 2009). The instream flow rules developed for many rivers and streams in the Puget Sound define specific flow and timing regimes, mainly by establishing minimum flow levels during specific times of the year. Due to the complexity of natural flow regimes, however, it is not clear if simplified instream flow rules are protective of native flora and fauna (Arthington and others 2006; Naiman and others 2008). The adoption of flow rules more considerate of all aspects of the natural flow regime has been suggested (Arthington and others 2006; Bunn and Arthington 2002; Naiman and others 2008; Petts 2009; Poff and Zimmerman 2010). Nonetheless, a measure of the effectiveness of water resources management may be the comparison of actual flows with those specified by the instream flow rules.
Due to a large degree of uncertainty, it is not possible to specifically determine a set of indicators based solely on ecological concerns. However, peak flows and summer low flow may be ecologically informative and are important to other aspects of water quantity (see Table 4). Tracking violations of instream flow rules may be of use. As such, we concluded that it would be appropriate to further evaluate these indicators.
Rights and permissions
About this article
Cite this article
James, C.A., Kershner, J., Samhouri, J. et al. A Methodology for Evaluating and Ranking Water Quantity Indicators in Support of Ecosystem-Based Management. Environmental Management 49, 703–719 (2012). https://doi.org/10.1007/s00267-012-9808-7
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00267-012-9808-7