Skip to main content

Advertisement

Log in

Land use and socioeconomic influences on a vulnerable freshwater resource in northern New England, United States

  • Published:
Environment, Development and Sustainability Aims and scope Submit manuscript

Abstract

Land use and cover conversions as well as climatic factors drive current and future threats to freshwater systems. Research from the United States and across the globe has focused on already threatened and degraded freshwater systems, whose recovery requires significant investments. Attention must also be directed to monitoring freshwater systems that may appear robust, yet are likely to face enhanced vulnerabilities in the future due to climate and land use and cover changes. Such proactive monitoring can help identify problems early and provide potential solutions. In this study, we consider the case of Sebago Lake and its watershed in southern Maine; a region that has experienced significant population growth and development activity. Land use, socioeconomic change and water quality trends are monitored over a 20-year period using Landsat imagery, census, water quality and precipitation data. Our results indicate that Developed Land within the watershed has increased from 5.4 % of the total land area in 1987 to 8.9 % in 2009 with associated increases in population and housing activity. Sebago Lake’s water quality indicators from 1990 to 2010 show a directional trend concomitant with this change. The increase in Developed Land is likely to place additional pressures on water quality in the future. The analysis also indicates that precipitation trends play an important role in water quality variability for Sebago Lake. Predicted changes to climatic factors including enhanced spring time precipitation or earlier ice-out conditions combined with further land use change may play an influential role in determining water quality. The analysis highlights emerging areas of concern and reiterates the essential role of proactively monitoring vulnerable systems to help mitigate future threats.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3

Similar content being viewed by others

References

  • Adrian, R., O’Reilly, C. M., Zagarese, H., Baines, S. B., Hessen, D. O., Keller, W., et al. (2009). Lakes as sentinels of climate change. Limnology and Oceanography, 54, 2283–2297.

    Article  Google Scholar 

  • Alcamo, J., Flörke, M., & Märker, M. (2007). Future long-term changes in global water resources driven by socio-economic and climatic change. Journal of Hydrological Science, 52, 247–275.

    Article  Google Scholar 

  • Allan, J. D. (2004). Landscapes and riverscapes: The influence of land use on stream ecosystems. Annual Review of Ecology Evolution and Systematics, 35, 257–284.

    Article  Google Scholar 

  • Analytic Imaging and Geophysics (AIG). (2002). Acorn 40 User’s Guide. http://www.aigllc.com/pdf/acorn4_ume.pdf. Accessed August 24, 2011.

  • Atasoy, M., Palmquist, R. B., & Phaneuf, D. J. (2006). Estimating the effects of urban residential development on water quality using microdata. Journal of Environmental Management, 79, 399–408.

    Article  CAS  Google Scholar 

  • Barnes, M., Todd, A., Whitney, L., Lilja, R., & Barten, P. (2009). Forests, water and people: Drinking water supply and forest lands in the northeast and Midwest United States. Technical Report, NA-FR-01-08, United States Department of Agriculture Forest Service.

  • Bierwagen, B. G., Theobald, D. M., Pyke, C. R., Choate, A., Groth, P., Thomas, J. V., et al. (2010). National housing and impervious surface scenarios for integrated climate impact assessments. Proceedings of the National academy of Sciences of the United States of America, 107, 20887–20892.

    Article  CAS  Google Scholar 

  • Blenckner, T., Adrian, R., Livingstone, D. M., Jennings, E., Weyhenmeyer, G. A., George, D. G., et al. (2007). Large-scale climatic signatures in lakes across Europe: A meta-analysis. Global Change Biology, 13, 1314–1326.

    Article  Google Scholar 

  • Brabec, E., Schulte, S., & Richards, P. L. (2002). Impervious surfaces and water quality: A review of current literature and its implications for watershed planning. Journal of Planning Literature, 16, 499–514.

    Article  Google Scholar 

  • Carpenter, S. R., Caraco, N. F., Correll, D. L., Howarth, R. W., Sharpley, A. N., & Smith, V. H. (1998). Ecological and economic analysis of lake eutrophication by nonpoint pollution. Australian Journal of Ecology, 8, 559–568.

    Google Scholar 

  • Congalton, R. (1991). A review of assessing the accuracy of classifications of remotely sensed data. Remote Sensing of Environment, 37(1), 35–46.

    Article  Google Scholar 

  • Coskun, H., & Alparslan, E. (2009). Environmental modeling of Omerli catchment area in Istanbul, Turkey using remote sensing and GIS techniques. Environmental Monitoring and Assessment, 153(1), 323–332.

    Article  CAS  Google Scholar 

  • Daly, C., Gibson, W. P., Doggett, M., Smith, J., & Taylor, G. (2004). Up-to-date monthly climate maps for the conterminous United States. In Proceedings of the 14th American Meteorological Society conference on applied climatology (Paper P51 CD-ROM). Seattle, Washington: 84th American Meteorological Society annual meeting combined reprints American Meteorological Society, January 13–16, 2004.

  • Dudley, R. W., Hodgkins, G. A., & Nielsen, J. P. (2001). Water budget for Sebago Lake, Maine, 199699. USGS Water Resources Investigations Report 01-4235. http://mewater.usgs.gov/reports/WRIR01-4235.pdf. Accessed November 29, 2011.

  • Fraterrigo, J. M., & Downing, J. A. (2008). The influence of land use on lake nutrients varies with watershed transport capacity. Ecosystems, 11, 1021–1034.

    Article  CAS  Google Scholar 

  • Giardino, C., Bresciani, M., Villa, P., & Martinelli, A. (2010). Application of remote sensing in water resource management: The case study of Lake Trasimeno, Italy. Water Resources Management, 24(11), 3885–3899.

    Article  Google Scholar 

  • Gibson, W. P., Daly, C., Kittel, T., Nychka, D., Johns, C., Rosenbloom, N., McNab, A., & Taylor, G. (2002). Development of a 103-year high-resolution climate data set for the conterminous United States. In Proceedings of the 13th American Meteorological Society conference on applied climatology (pp. 181183). Portland, Oregon: American Meteorological Society, May 13–16.

  • Hodgkins, G. A. (2001). Total phosphorus loads for selected tributaries to Sebago Lake, Maine. USGS Water Resources Investigations Report 01-4003.

  • Hodgkins, G. A., James, I. C., & Huntington, T. G. (2002). Historical changes in lake ice-out dates as indicators of climate change in New England. International Journal of Climatology, 22, 1819–1827.

    Article  Google Scholar 

  • Kundzewicz, Z. W., Mata, L. J., Arnell, N. W., Döll, P., Kabat, P., Jiménez, B., Miller, K. A., Oki, T., Sen, Z., & Shiklomanov, I. A. (2007). Freshwater resources and their management. In M. L. Parry, O. F. Canziani, J. P. Palutikof, P. J. van der Linden, & C. E. Hanson (Eds.), Climate change 2007: Impacts, adaptation and vulnerability (pp. 173–210). Contribution of Working Group II to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge: Cambridge University Press.

  • Kundzewicz, Z. W., & Robson, A. J. (2004). Change detection in hydrological records—a review of the methodology. Hydrological Sciences, 49, 7–19.

    Article  Google Scholar 

  • LEA (Lakes Environmental Association). (2010). Water testing report LEA, Bridgton, ME. http://www.mainelakes.org/documents/Water%20Testing%20summaries/2010%20LEA%20Water%20Testing%20Summaries.pdf. Accessed March 8, 2011.

  • Leavitt, P. R., Brock, C. S., Ebel, C., & Patoine, A. (2006). Landscape-scale effects of urban nitrogen on a chain of freshwater lakes in central North America. Limnology and Oceanography, 51, 2262–2277.

    Article  CAS  Google Scholar 

  • Levin, S., & Clark, W. (2009). Towards a science of sustainability. Report from Toward a Science of Sustainability Conference (p. 109). Warrenton, Virginia: Airlie Center.

  • Lillesand, T. M., Kiefer, R. W., & Chipman, J. W. (2008). Remote sensing and image interpretation. New York, USA: Wiley.

    Google Scholar 

  • Liu, W., Zhang, Q., & Liu, G. (2010). Lake eutrophication associated with geographic location, lake morphology and climate in China. Hydrobiologia, 644, 289–299.

    Article  CAS  Google Scholar 

  • Meehl, G. A., & Stocker, T. F., et al. (2007). Global climate projections. In S. Solomon, D. Qin, M. Manning, Z. Chen, M. Marquis, K. B. Averyt, M. Tignor, & H. L. Miller (Eds.), Climate change 2007: The physical science basis. Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change (pp. 747–846). Cambridge: Cambridge University Press.

  • MSPO (Maine State Planning Office). (2011). Maine economics and demographics program. http://www.maine.gov/spo/economics/. Accessed October 30, 2011.

  • Murdoch, P. S., Baron, J. S., & Miller, T. L. (2000). Potential effects of climate change on surface-water quality in North America. Journal of the American Water Resources Association, 36, 347–366.

    Article  CAS  Google Scholar 

  • Nõges, T. (2009). Relationships between morphometry, geographic location and water quality parameters of European lakes. Hydrobiologia, 633, 33–43.

    Article  Google Scholar 

  • Pham, S. V., Leavitt, P. R., McGowan, S., & Peres-Neto, P. (2008). Spatial variability of climate and land-use effects on lakes of the northern Great Plains. Limnology and Oceanography, 53, 728–742.

    Article  Google Scholar 

  • PWD (Portland Water District). (2008). State of the Lake Report, Sebago Lake, 2008 Portland Water District, Portland, ME. http://www.pwd.org/pdf/water_resources/stateofthelake2009.pdf. Accessed November 22, 2010.

  • Postel, S. L., & Thompson, B. H. (2005). Watershed protection: Capturing the benefits of nature’s water supply services. Natural Resources Forum, 29, 98–108.

    Article  Google Scholar 

  • R Core Team. (2012). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. ISBN 3-900051-07-0, URL http://www.R-project.org/.

  • Reckhow, K. H., & Simpson, J. T. (1980). A procedure using modeling and error analysis for the prediction of lake phosphorus concentration from land use information. Canadian Journal of Fisheries and Aquatic Sciences, 37, 1439–1448.

    Article  CAS  Google Scholar 

  • Scheffer, M., & Carpenter, S. R. (2003). Catastrophic regime shifts in ecosystems: Linking theory to observation. Trends in Ecology & Evolution, 18, 648–656.

    Article  Google Scholar 

  • Schelske, C. L., Lowe, E. F., Battoe, L. E., Brenner, M., Coveney, M. F., & Kenney, W. F. (2005). Abrupt biological response to hydrologic and land-use changes in Lake Apopka, Florida, USA. Ambio, 34, 192–198.

    Google Scholar 

  • Schindler, D. W. (2006). Recent advances in the understanding and management of eutrophication. Limnology and Oceanography, 51, 356–363.

    Article  Google Scholar 

  • Siegel, S., & Castellan, N. J. (1988). Non-parametric statistics for the behavioural sciences. New York: McGraw-Hill.

    Google Scholar 

  • USCB (United States Census Bureau). (2011). http://www.census.gov. Accessed October 22, 2011.

  • USGS (United States Geological Survey). (2009). Maps, imagery, and publications. http://www.usgs.gov/pubprod/aerial.html. Accessed November 22, 2010.

  • Vollenweider, R. A. (1968). Scientific fundamentals of lake and stream eutrophication, with particular reference to phosphorus and nitrogen as eutrophication factors. Technical Report DAS/DSI/6827 Paris, France: OECD.

  • Vörösmarty, C. J., Green, P. J., Salisbury, J., & Lammers, R. B. (2000). Global water resources: Vulnerability from climate change and population growth. Science, 289, 284–288.

    Article  Google Scholar 

  • Whalen, N. (2009). Portland Water District Sebago Lake monitoring program lake monitoring presenting periphyton data from 1995-2009. Portland ME: Portland Water District. http://www.pwd.org/pdf/Reports/Periphyton%20Monitoring%20Results%20for%202009%20data.pdf. Accessed March 31, 2011.

  • Whalen, N. (2010). Characterization of Sebago Lake lower bay trophic state since 1976. Portland, ME: Portland Water District. http://www.pwd.org/pdf/water_resources/Pre_1990_Lower_Bay_Report.pdf. Accessed March 31, 2011.

  • Wickham, J. D., Wade, T. G., & Riitters, K. H. (2008). Detecting temporal change in watershed nutrient yields. Environmental Management, 42, 223–231.

    Article  Google Scholar 

  • Wickham, J. D., Wade, T. G., & Riitters, K. H. (2011). An environmental assessment of United States drinking water watersheds. Landscape Ecology, 26, 605–616.

    Article  Google Scholar 

Download references

Acknowledgments

The authors wish to thank the Portland Water District for providing the water quality data. This research was funded by a National Science Foundation award EPS-0904155 to Maine EPSCoR at the University of Maine.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Firooza Pavri.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Pavri, F., Springsteen, A., Dailey, A. et al. Land use and socioeconomic influences on a vulnerable freshwater resource in northern New England, United States. Environ Dev Sustain 15, 625–643 (2013). https://doi.org/10.1007/s10668-012-9397-x

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10668-012-9397-x

Keywords

Navigation