The Role of Ecological Endpoints in Watershed Management

  • Brenda Rashleigh
Part of the NATO Science for Peace and Security Series book series (NAPSC)

Abstract

Landscape change and pollution in watersheds affect ecological endpoints in receiving water bodies. Therefore, these endpoints are useful in watershed management. Fish and benthic macroinvertebrates are often used as endpoints, since they are easily measured in the field and integrate over time and Stressors. A range of approaches are used to incorporate ecological endpoints into watershed management. A common approach is the use of metrics, such as species diversity and the presence of rare or unique species; metrics are also combined into multimetric indices. Multivariate analyses are used to relate endpoints to landscape characteristics. Detailed ecological models can be used to represent effects of multiple Stressors and predict the response to ecological endpoints to future conditions and alternative management scenarios. Ecological endpoints are currently used to assess or classify sites or water bodies, to identify impaired sites and waters, support water quality permits or enforcement, identify areas for conservation, or to set restoration goals or monitor progress. In the future, it is likely that ecological endpoints will be incorporated with aspects of water quality and economic valuation to create sophisticated decision support tools for watersheds.

Keywords

Mulitmetric multivariate ecological endpoints assessment 

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References

  1. Abell, R.A., D.M. Olson, E. Dinerstein, P.T. Hurley, J.T. Diggs, W. Eichbaum, S. Walters, W. Wettengel, T. Allnutt, C.J. Loucks, and P. Hedao. 2000. Freshwater Ecoregions of North America: A Conservation Assessment, Island Press, Washington, DC.Google Scholar
  2. Akçakaya, R., M. Burgman, O. Kindvall, C.C. Wood, Per Sjögren-Gulve, J.S. Hatfield, and M.A. McCarthy (eds.), 2004. Species Conservation and Management: Case Studies, Oxford University Press, Oxford.Google Scholar
  3. Acreman, M., 2005. Linking science and decision-making: features and experience from environmental river flow setting, Environmental Modeling & Software, 20, 99-109.CrossRefGoogle Scholar
  4. Astin, LE, 2007. Developing biological indicators from diverse data: the Potomac Basin-wide Index of Benthic Integrity (B-IBI), Ecological Indicators, 7, 895-908.CrossRefGoogle Scholar
  5. Angermeier, P.L., and M.R. Winston, 1999. Characterizing fish community diversity across Virginia landscapes: prerequisite for conservation, Ecological Applications, 9, 335-349.CrossRefGoogle Scholar
  6. Bain, M.B., A.L. Harig, D.P. Loucks, R.R. Goforth, and K.E. Mills, 2000. Aquatic ecosystem protection and restoration: advances in methods for assessment and evaluation, Environmental Science & Policy, 3, S89-S98.CrossRefGoogle Scholar
  7. Barbour, M.T., W.F. Swietlik, S.K. Jackson, D.L. Courtemanch, S.P. Davies, and C.O. Yoder, 2000. Measuring the attainment of biological integrity in the USA: a critical element of ecological integrity, Hydrobiologia, 422/423, 453-464.CrossRefGoogle Scholar
  8. Bartell, S.M., 2002. Ecosystem models - aquatic, edited by R.A. Pastorok, S.M. Bartell, S. Ferson, and L.R. Ginzburg, Ecological Modeling in Risk Assessment, CRC, Boca Raton, FL, pp. 107-128.Google Scholar
  9. Bohn, B.A., and J.L. Kershner, 2002. Establishing aquatic restoration priorities using a water-shed approach, Journal of Environmental Management, 64, 355-363.CrossRefGoogle Scholar
  10. Bond, N.R., and P.S. Lake, 2003. Characterizing fish-habitat associations in streams as the first step in ecological restoration, Austral Ecology, 28, 611-621.CrossRefGoogle Scholar
  11. Brooks, R.P., D.H. Wardrop, K.W. Thornton, D. Whigham, C. Hershner, M.M. Brinson, and J.S. Schortle (eds), 2006. Integration of ecological and socioeconomic indicators for estuaries and watersheds of the Atlantic Slope. Final Report to the U.S. Environmental Protection Agency STAR program, Agreement, R-82868401, Washington, DC. Prepared by the Atlantic Slope Consortium, University Park, PA.Google Scholar
  12. Carpenter, S.R., and C. Folke, 2006. Ecology for transformation, Trends in Ecology and Evolution, 21, 309-315.CrossRefGoogle Scholar
  13. Christensen V., and C.J. Walters, 2004. Ecopath with ecosim: methods, capabilities and limitations, Ecological Modelling, 172, 109-139.CrossRefGoogle Scholar
  14. Clarke, R.T., J.F. Wright, and M.T. Furse, 2003. RIVPACS models for predicting the expected macroinvertebrate fauna and assessing the ecological quality of rivers, Ecological Modelling, 160, 219-233.CrossRefGoogle Scholar
  15. Coates S, A. Waugh, A. Anwar, and M. Robson, 2007. Efficacy of a multi-metric fish index as an analysis tool for the transitional fish component of the Water Framework Directive, Marine Pollution Bulletin, 55, 225-240.CrossRefGoogle Scholar
  16. Das S.K., and D. Chakrabarty, 2007. The use of fish community structure as a measure of ecological degradation: a case study in two tropical rivers of India, BioSystems, 90, 188-196.CrossRefGoogle Scholar
  17. Depledge, M.H., and S.P. Hopkin, 1995. Methods to assess effects on brackish, estuarine, and near-coastal water organisms, edited by R.A. Linthurst, P. Bourdeau, and R.G. Tardiff, Methods to Assess the Effects of Chemical on Ecosystems, Wiley, Chichester, pp. 125-150.Google Scholar
  18. Diaz, R.J., M. Solan, and R.M. Valente, 2004. A review of approaches for classifying benthic habi-tats and evaluating habitat quality, Journal of Environmental Management, 73, 165-181.CrossRefGoogle Scholar
  19. Gaff, H., D.L. DeAngelis, L.J. Gross, R. Salinas and M. Shorrosh, 2000. A dynamic landscape model for fish in the Everglades and its application to restoration, Ecological Modelling, 127, 33-52.CrossRefGoogle Scholar
  20. Gamito, S., 2007. Modeling possible impacts of terrorist attacks in coastal lagoon ecosystems with STELLA, edited by I.E. Gonenc, V. Koutitonsky, B. Rashleigh, R.A. Ambrose, and J.P. Wolflin, Assessment of the Fate and Effects of Toxic Agents on Water Resources, Springer, Dordrecht, The Netherlands, pp. 259-277.Google Scholar
  21. Gobas F.A.P.C., 1993. A model for predicting the bioaccumulation of hydrophobic organic chemicals in aquatic food-webs: application to Lake Ontario, Ecological Modelling, 69, 1-17.CrossRefGoogle Scholar
  22. Griffith, M.A., B.H. Hill, F.H. McCormick, P.R. Kaufmann, A.T. Herlihy, and A.R. Sellef, 2005. Comparative application of indices of biotic integrity based on periphyton, mac-roinvertebrates, and fish to southern Rocky Mountain streams, Ecological Indicators, 5, 117-136.CrossRefGoogle Scholar
  23. Guay, J.C., D. Boisclair, D. Rioux, M. Leclerc, M. Lapointe, and P. Legendre, 2000. Development and validation of numerical habitat models for juveniles of Atlantic salmon (Salmo salar), Canadian Journal of Fisheries and Aquatic Sciences, 57, 2065-2075.CrossRefGoogle Scholar
  24. Guisan A, and N.E. Zimmermann, 2000. Predictive habitat distribution models in ecology, Ecological Modelling, 135, 147-186.CrossRefGoogle Scholar
  25. H. John Heinz III Center for Science, Economics and the Environment (Heinz Center), 2002. The State of the Nation’s Ecosystems: Measuring the Lands, Waters, and Living Resources of the United States, Cambridge University Press, Cambridge.Google Scholar
  26. Haase, R., and U. Nolte, 2007. The invertebrate species index (ISI) for streams in southeast Queensland, Australia, Ecological Indicators. doi:10.1016/j.ecolind.2007.08.005.Google Scholar
  27. Hilsenhoff, W.L., 1988. Rapid field bioassessment of organic pollution with a family level biotic index, Journal of the North American Benthological Society, 7, 65-68.CrossRefGoogle Scholar
  28. Holmes, T.P., J.C. Bergstrom, E. Huszar, S.B. Kask, and F. Orr III, 2004. Contingent valuation, net marginal benefits, and the scale of riparian ecosystem restoration, Ecological Economics, 49, 19-30.CrossRefGoogle Scholar
  29. Karr, J.R., 1981. Assessment of biotic integrity using fish communities, Fisheries, 6, 21-26.CrossRefGoogle Scholar
  30. Karr, J.R., and D.R. Dudley, 1981. Ecological perspective on water quality goals, Environmental Management, 5, 55-68.CrossRefGoogle Scholar
  31. Karr, J.R., and E.W. Chu, 1999. Restoring Life in Running Waters: Better Biological Monitoring, Island Press, Washington, DC.Google Scholar
  32. Kerans, B.L., and J.R. Karr. 1994. A benthic index of biotic integrity (B-IBI) for rivers of the Tennessee Valley, Ecological Applications, 4, 768-785.CrossRefGoogle Scholar
  33. Koelmans, A.A., A. Van der Heijde, L.M. Knijff, and R. H. Aalderink, 2001. Integrated modelling of eutrophication and organic contaminant fate & effects in aquatic ecosystems. A review, Water Research, 35, 3517-3536.CrossRefGoogle Scholar
  34. Ladson, A.R., L.J. White, J.A. Doolan, B.L. Finlayson, B.T. Hart, P.S. Lake, J.W. Tilleard, 1999. Development and testing of an Index of Stream Condition for waterway manage-ment in Australia, Fresh Water Biology, 41, 453-468.CrossRefGoogle Scholar
  35. Lenat, D,R., 1993. A biotic index for the southeastern United States: derivation and list of tolerance values, with criteria for assigning water-quality ratings, Journal of the North American Benthological Society, 12, 279-290.CrossRefGoogle Scholar
  36. Luoma, S.N. 2007. Case Study 6: The CALFED Bay-Delta program, edited by R.G. Stahl Jr., L.A. Kapustka, W.R. Munns Jr., and R.J.F. Bruins, Valuation of Ecological Resources: Integration of Ecology in Soceioeconomics in Environmental Decision Making, Taylor & Francis, Boca Raton, FL, pp. 207-216.Google Scholar
  37. Lytle, D.A., and N.L. Poff, 2004. Adaptation to natural flow regimes, Trends in Ecology and Evolution, 19, 94-100.CrossRefGoogle Scholar
  38. Marchetti, M.P., J.L. Lockwood, and T. Light, 2006. Effects of urbanization on California’s fish diversity: differentiation, homogenization and the influence of spatial scale, Biological Conservation, 127, 310-318.CrossRefGoogle Scholar
  39. Matthews, W.J. 1998. Patterns in Freshwater Fish Ecology, Chapman & Hall, New York.Google Scholar
  40. Meador, M.R. and D.M. Carlisle, 2007. Quantifying tolerance indicator values for common stream fish species of the United States, Ecological Indicators, 7, 329-338.CrossRefGoogle Scholar
  41. Muxika I, A. Borja, and J. Bald, 2007. Using historical data, expert judgment and multivariate analysis in assessing reference conditions and benthic ecological status, according to the European Water Framework Directive, Marine Pollution Bulletin, 55, 16-29.CrossRefGoogle Scholar
  42. Novotny, V., A. Bartošova’, N. O’Reilly, and T. Ehlinger, 2005. Unlocking the relationship of biotic integrity of impaired waters to anthropogenic stresses, Water Research, 39, 184-198.CrossRefGoogle Scholar
  43. Oberdorff, T., D. Pont, B. Hugueny and D. Chessel, 2001. A probabilistic model charac-terizing fish assemblages of French rivers: a framework for environmental assessment, Freshwater Biology, 46, 399-415.CrossRefGoogle Scholar
  44. Ohlson, D.W., and V.B. Serveiss, 2007. The integration of ecological risk assessment and structured decision making into watershed management, Integrated Environmental Assessment and Management, 3, 118-128.CrossRefGoogle Scholar
  45. Parasiewicz, P., 2001. MesoHABSIM: a concept for application of instream flow models in river restoration planning, Fisheries, 26, 6-13.CrossRefGoogle Scholar
  46. Park, Y., M. Song, Y. Park, K. Oh, E. Cho, and T. Chon. 2007. Community patterns of benthic macroinvertebrates collected on the national scale in Korea, Ecological Modelling, 203, 26-33.CrossRefGoogle Scholar
  47. Porter, M.S., J. Rosenfeld, and E.A. Parkinson, 2000. Predictive models of fish species distribution in the Blackwater drainage, British Columbia, North American Journal of Fisheries Management, 20, 349-359.CrossRefGoogle Scholar
  48. Postel, S. and B. Richter, 2005. Rivers for Life: Managing Water for People and Nature, Island Press, Washington, DC.Google Scholar
  49. Rieman, B., J.T. Peterson, J. Clayton, P. Howell, R. Thurow, W. Thompson, and D. Lee, 2001. Evaluation of potential effects of federal land management alternatives on trends of salmonids and their habitats in the interior Columbia River basin, Forest Ecology and Management, 153, 43-62.CrossRefGoogle Scholar
  50. Reynoldson, T.B., R.C. Bailey, K.E. Day, and R.H. Norris, 1995. Biological guidelines for freshwater sediment based on BEnthic Assessment of SedimenT (the BEAST) using a multivariate approach for predicting biological state. Australian Journal of Ecology (1995), 20, 198-219.CrossRefGoogle Scholar
  51. Richter, B.D., J.V. Baumgartner, R. Wigington, and D.P. Braun, 1997. How much water does a river need? Freshwater Biology, 37, 231-249.CrossRefGoogle Scholar
  52. Sasaki, A., A. Ito, J. Aizawa, and T. Umita, 2005. Influence of water and sediment quality on benthic biota in an acidified river, Water Research, 39, 2517-2526.CrossRefGoogle Scholar
  53. Scheffer, M., 1989. Alternative stable states in eutrophic shallow freshwater systems: a minimal model, Hydrobiological Bulletin, 23, 73-85.CrossRefGoogle Scholar
  54. Schiemer, F., 2000. Fish as indicators for the assessment of the ecological integrity of large rivers, Hydrobiologia, 422/423, 271-278.CrossRefGoogle Scholar
  55. Serviess, V.B., 2002. Applying ecological risk principles to watershed assessment and management, Environmental Management, 29, 145-154.CrossRefGoogle Scholar
  56. Simboura, N., and A. Zenetos, 2002. Benthic indicators to use in ecological quality classifi-cation of Mediterranean soft bottoms marine ecosystems, including a new biotic index, Mediterranean Marine Science, 3/2, 77-111.Google Scholar
  57. Simon, T.P., 2002. Biological Response Signatures: Indicator Patterns using Aquatic Communities, CRC Press, Boca Raton, FL, USA.Google Scholar
  58. Tharme, R.E., 2003. A global perspective on environmental flow assessment: emerging trends in the development and application of environmental flow methodologies for rivers, River Research and Applications, 19, 397-441.CrossRefGoogle Scholar
  59. U.S. EPA, 1998. Lake and Reservoir Bioassessment and Biocriteria Technical Guidance Document, U.S. EPA Office of Water, Washington, DC.Google Scholar
  60. U.S. EPA, 2000. Stressor Identification Guidance Document, EPA-822-B-00-025, U.S. Environmental Protection Agency, Office of Water, Washington, DCGoogle Scholar
  61. U.S. EPA, 2003. Elements of a State Water Monitoring and Assessment Program, Assessment and Watershed Protection Division Office of Wetlands, Oceans and Watershed, U.S. Environmental Protection Agency EPA841-B-03-003. http://www.epa.gov/owow/monitoring/repguid.html
  62. U.S. EPA, 2004. AQUATOX (Release 2) Modeling Environmental Fate and Ecological Effects in Aquatic Ecosystems. Volume 2: Technical documentation, EPA/823/R-04/002, U.S. Environmental Protection Agency, Office of Water, Washington, DC.Google Scholar
  63. U.S. Fish and Wildlife Service, 1981. Standards for the Development of Habitat Suitability Index Models for Use in the Habitat Evaluation Procedures, U.S. Department of the Interior, ESM 103, Fish and Wildlife Service, Division of Ecological Services.Google Scholar
  64. Wall, S.S., C.R. Berry Jr., C.M. Blausey, J.A. Jenks, and C.J. Kopplin, 2004. Fish-habitat modeling for gap analysis to conserve the endangered Topeka shiner (Notropis topeka), Canadian Journal of Fisheries and Aquatic Sciences, 61, 954-973.CrossRefGoogle Scholar
  65. Wilson, M.A., and S.P. Carpenter, 1999. Economic valuation of freshwater ecosystem services in the United States: 1971-1997, Ecological Applications, 9(3), 772-783.Google Scholar
  66. Whittier, T.R., R.M. Hughes, and D.P. Larsen, 1988. Correspondence between ecoregions and spatial patterns in stream ecosystems in Oregon, Canadian Journal of Fisheries and Aquatic Sciences, 45, 1264-1278.Google Scholar
  67. Wright, J.F., 1995. Development and use of a system for predicting the macroinvertebrate fauna in flowing waters, Australian Journal of Ecology, 20, 181-197.CrossRefGoogle Scholar
  68. Wu, J.T., 1999. A generic index of diatom assemblages as bioindicator of pollution in the Keelung river of Taiwan, Hydrobiologia, 397, 79-87.CrossRefGoogle Scholar
  69. Young, W.J., D.C.L. Lam, V. Ressel, and I.W. Wong. 2000. Development of an environmental flows decision support system, Environmental Modeling & Software, 15, 257-265.CrossRefGoogle Scholar

Copyright information

© Springer Science + Business Media B. V 2008

Authors and Affiliations

  • Brenda Rashleigh
    • 1
  1. 1.U.S. Environmental Protection AgencyUSA

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