Abstract
Potential impacts of global climate change on the amount of low-marsh habitat in coastal wetlands of the Great Lakes are unknown, which may have important implications for the Great Lakes fish community that use such habitat. We developed a generalized linear model that uses only hydrogeomorphic (HGM) features and lake elevations to predict the extent of low marsh in coastal wetlands of eastern and northern Georgian Bay. The McMaster Coastal Wetland Inventory was used as a reference dataset to train the model, while best available data were assembled to create a digital elevation model that was used to derive all HGM features at a lake elevation of 176.17 m (International Great Lakes Datum 1985). The best predictive model included depth, slope, and exposure as HGM variables, yielding an area under the curve (AUC) score of 0.83. We classified the model output into low-marsh and open-water habitat using a threshold value identified by maximizing the true skill statistic. The classified model output had sensitivity and specificity scores of 0.80 and 0.75, respectively, and correctly identified 81% of the low-marsh units present in the reference dataset with an average 60% areal overlap between the model prediction and reference dataset. We applied the model to two external datasets to check model performance, and found the lowest AUC to be 0.79, with associated sensitivity and specificity scores of 0.65 and 0.77, respectively. Applying this model with future water-level scenarios should provide a cost-effective alternative for forecasting changes in the amount of low marsh-habitat in Georgian Bay.
Similar content being viewed by others
References
Albert DA, Wilcox DA, Ingram JW, Thompson TA (2005) Hydrogeomorphic classification for Great Lakes coastal wetlands. J Great Lakes Res 31:129–146
Allouche O, Tsoar A, Kadmon R (2006) Assessing the accuracy of species distribution models: prevalence, kappa and the true skill statistic (TSS). J Appl Ecol 43(6):1223–1232
Angel JR, Kunkel KE (2010) The response of Great Lakes water levels to future climate scenarios with an emphasis on Lake Michigan-Huron. J Great Lakes Res 36:51–58
Angradi TR, Pearson MS, Bolgrien DW, Bellinger BJ, Starry MA, Reschke C (2013) Predicting submerged aquatic vegetation cover and occurrence in a Lake Superior estuary. J Great Lakes Res 39(4):536–546
Assel RA, Quinn FH, Sellinger CE (2004) Hydroclimatic factors of the recent record drop in Laurentian Great Lakes water levels. Bull Am Meteor Soc 85(8):1143–1152
Baedke SJ, Thompson TA (2000) A 4,700-year record of lake level and isostasy for Lake Michigan. J Great Lakes Res 26(4):416–426
Bourgeau-Chavez L, Endres S, Battaglia M, Miller ME, Banda E, Laubach Z, Higman P, Chow-Fraser P, Marcaccio J (2015) Development of a bi-national Great Lakes coastal wetland and land use map using three-season PALSAR and Landsat imagery. Remote Sensing 7(7):8655–8682
Boyd LM (2017) Monitoring wetlands during water-level transition periods. Master’s Thesis, McMaster University, Hamilton, ON
Brazner J, Sierzen ME, Keough JR, Tanner DK (2001) Assessing the ecological importance of coastal wetlands in a large lake context. Verhandlungen des Internationalen Verein Limnologie 26:1950–1961
Burrough PA, McDonell RA (1998) Principles of geographical information systems. Oxford University Press, New York, p 190
Canadian Hydrographic Service (2013) Standards for hydrographic surveys. CHS survey management guidelines, 2nd Edition. http://www.charts.gc.ca/documents/data-gestion/standards-normes/standards-normes-2013-eng.pdf
Ciborowski JJH, Niemi GJ, Brady VJ, Doka SE, Johnson LB, Keough JR, Mackey SD, Uzarski DG (2009) Ecosystem responses to regulation-based water level changes in the Upper Great Lakes. White paper for the International Joint Commission, International Upper Great Lakes Study, p 38
Costanza R, d’Arge R, de Groot R, Farber S, Grasso M, Hannon B, Limburg K, Naeem S, O’Neill RV, Paruelo J, Raskin RG, Sutton P, van den Belt M (1997) The value of the world’s ecosystem services and natural capital. Nature 387(6630):253–260
Cvetkovic M, Chow-Fraser P (2011) Use of ecological indicators to assess the quality of Great Lakes coastal wetlands. Ecol Ind 11(6):1609–1622
Deleo JM (1993) Receiver operating characteristic laboratory (ROCLAB): software for developing decision strategies that account or uncertainty. In: Proceedings of the second international symposium on uncertainty modelling and Analysis. IEEE Computer Society Press, College Park, MD, pp 318–325
Deleo JM, Campbell G (1990) The fuzzy receiver operating characteristic function and medical decisions with uncertainty. In: Proceedings of the first international symposium on uncertainty modelling and analysis, IEEE Computer Society Press, College Park, MD, pp 694–699
Duarte C, Kalff J (1986) Littoral slope as a predictor of the maximum biomass of submerged macrophyte communities. Limnol Oceanogr 31(5):1072–1080
Duarte C, Kalff J (1990) Patterns in the submerged macrophyte biomass of lakes and the importance of the scale of the analysis in interpretation. Can J Fish Aquat Sci 47(2):357–363
Duarte C, Kalff J, Peters R (1986) Patterns in biomass and cover of aquatic macrophytes in lakes. Can J Fish Aquat Sci 43(10):1900–1908
Environment Canada (2002) Where land meets water: understanding wetlands of the Great Lakes. Environment Canada, Toronto, Ontario, Canada
Fielding AH, Bell JF (1997) A review of methods for the assessment of prediction errors in conservation presence/absence models. Environ Conserv 24(1):38–49
Fonseca M, Whitfield PE, Kelly NM, Bell SS (2002) Modeling seagrass landscape pattern and associated ecological attributes. Ecol Appl 12(1):218–237
Fracz A, Chow-Fraser P (2013) Impacts of declining water levels on the quantity of fish habitat in coastal wetlands of eastern Georgian Bay, Lake Huron. Hydrobiologia 702(1):151–169
Gathman JP, Albert DA, Burton TM (2005) Rapid plant community response to a water level peak in northern Lake Huron coastal wetlands. J Great Lakes Res 31:160–170
Gronewold AD, Clites AH, Smith JP, Hunter TS (2013) A dynamic graphical interface for visualizing projected, measured, and reconstructed surface water elevations on the earth’s largest lakes. Environ Modell Softw 49:34–39
Hanrahan JL, Kravtsov SV, Roebber PJ (2010) Connecting past and present climate variability to the water levels of Lakes Michigan and Huron. Geophys Res Lett. https://doi.org/10.1029/2009GL041707
Hebb AJ, Mortsch LD, Deadman PJ, Cabrera AR (2013) Modeling wetland vegetation community response to water-level change at Long Point, Ontario. J Great Lakes Res 39(2):191–200
Hutchinson MF (1989) A new procedure for gridding elevation and stream line data with automatic removal of pits. J Hydrol 106:211–232
Ingram J, Holmes K, Grabas G, Watton P, Potter B, Gomer T, Stow N (2004) Development of a coastal wetland database for the Great Lakes Canadian Shoreline, Final Report. The Great Lakes Commission
Jude DJ, Pappas J (1992) Fish utilization of Great Lakes coastal wetlands. J Great Lakes Res 18(4):651–672
Keddy P (1982) Quantifying within-lake gradients of wave energy: interrelationships of wave energy, substrate particle-size and shoreline plants in Axe Lake, Ontario. Aquat Bot 14(1):41–58
Keddy P (1984a) Plant zonation on lakeshores in Nova Scotia: a test of the resource specialization hypothesis. J Ecol 72(3):797–808
Keddy P (1984b) Quantifying a within-lake gradient of wave energy in Gillfillan Lake, Nova-Scotia. Can J Bot Rev Can Bot 62(2):301–309
Keddy PA, Reznicek AA (1986) Great Lakes vegetation dynamics: the role of fluctuating water levels and buried seeds. J Great Lakes Res 12(1):25–36
Keough J, Thompson T, Guntenspergen G, Wilcox D (1999) Hydrogeomorphic factors and ecosystem responses in coastal wetlands of the Great Lakes. Wetlands 19(4):821–834
Leblanc JP, Weller JD, Chow-Fraser P (2014) Thirty-year update: changes in biological characteristics of degraded muskellunge nursery habitat in southern Georgian Bay, Lake Huron, Canada. J Great Lakes Res 40(4):870–878
Leira M, Cantonati M (2008) Effects of water-level fluctuations on lakes: an annotated bibliography. Hydrobiologia 613(1):171–184
Lemein T, Albert DA, Del Giudice Tuttle E (2017) Coastal wetland vegetation community classification and distribution across environmental gradients throughout the Laurentian Great Lakes. J Great Lakes Res 43(4):658–669
Lofgren BM, Quinn FH, Clites AH, Assel RA, Eberhardt AJ, Luukkonen CL (2002) Evaluation of potential impacts on Great Lakes water resources based on climate scenarios of two GCMs. J Great Lakes Res 28(4):537–554
Mayer T, Edsall T, Munawar M (2004) Factors affecting the evolution of coastal wetlands of the Laurentian Great Lakes: an overview. Aquat Ecosyst Health Manage 7(2):171–178
Midwood JD (2012) Assessing change in fish habitat and communities in coastal wetlands of Georgian Bay. PhD Thesis. McMaster University, Hamilton, Ontario
Midwood J, Chow-Fraser P (2010) Mapping floating and emergent aquatic vegetation in coastal wetlands of eastern Georgian Bay, Lake Huron, Canada. Wetlands 30(6):1141–1152
Midwood JD, Chow-Fraser P (2012) Changes in aquatic vegetation and fish communities following 5 years of sustained low water levels in coastal marshes of eastern Georgian Bay, Lake Huron. Glob Chang Biol 18(1):93–105
Midwood J, Rokitnicki-Wojcik D, Chow-Fraser P (2012) Development of an inventory of coastal wetlands for eastern Georgian Bay, Lake Huron. ISRN Ecol 2012:1–13
Minc LD (1997) Great Lakes coastal wetlands: an overview of abiotic factors affecting their distribution, form, and species composition. Mich Nat Feature Invent, Lansing
Mortsch LD (1998) Assessing the impact of climate change on the Great Lakes shoreline wetlands. Clim Chang 40(2):391–416
Mortsch LD, Quinn FH (1996) Climate change scenarios for Great Lakes Basin ecosystem studies. Limnol Oceanogr 41(5):903–911
Ontario Ministry of Natural Resources (2013) Provincial Digital Elevation Model: Tiled Dataset, version 3.0 [computer file]. Peterborough: Ontario Ministry of Natural Resources
Ontario Ministry of Natural Resources (2014) Ontario wetland evaluation system northern manual. Technical Manual V1.3. Peterborough, ON, pp 40
Ontario Ministry of Natural Resources and Forestry (2016) Provincial digital elevation model technical specifications. Queen’s Printer for Ontario. https://www.sse.gov.on.ca/sites/MNR-PublicDocs/EN/CMID/ProvDigitalElevationModelTechSpec.pdf
Quinlan C, Mulamoottil G (1987) The effects of water level fluctuations on three Lake Ontario shoreline marshes. Can Water Resour J 12(1):64–77
Quinn GP, Keough MJ (2002) Experimental design and data analysis for biologists. Cambridge University Press, New York, pp 359–360
Quinn FH, Sellinger CE (2006) A reconstruction of Lake Michigan-Huron water levels derived from tree ring chronologies for the Period 1600–1961. J Great Lakes Res 32(1):29–39
Randall RG, Minns CK, Cairns VW, Moore JE (1996) The relationship between an index of fish production and submerged macrophytes and other habitat features at three littoral areas in the Great Lakes. Can J Fish Aquat Sci 53:35–44
Sierszen ME, Morrice JA, Trebitz AS, Hoffman JC (2012) A review of selected ecosystem services provided by coastal wetlands of the Laurentian Great Lakes. Aquat Ecosyst Health Manag 15(1):92–106
Wei A, Chow-Fraser P (2008) Testing the transferability of a marsh-inundation model across two landscapes. Hydrobiologia 600:41–47
Wei A, Chow-Fraser P, Albert D (2004) Influence of shoreline features on fish distribution in the Laurentian Great Lakes. Can J Fish Aquat Sci 61(7):1113–1123
Weller JD, Chow-Fraser P (2018) Simulated changes in extent of Georgian Bay low-marsh habitat under multiple lake levels. Wetl Ecol Manag (in press)
Wilcox D, Meeker J (1991) Disturbance effects on aquatic vegetation in regulated and unregulated lakes in northern Minnesota. Can J Bot 69(7):1542–1551
Wilcox DA, Nichols SJ (2008) The effects of water-level fluctuations on vegetation in a Lake Huron wetland. Wetlands 28(2):487–501
Wilcox DA, Xie Y (2007) Predicting wetland plant community responses to proposed water-level-regulation plans for Lake Ontario: GIS-based modeling. J Great Lakes Res 33(4):751–773
Acknowledgements
With regards to the DEM developed for this project, it was produced by McMaster University based on Canadian Hydrographic Service charts and/or data, pursuant to CHS Direct User Licence No. 2016-1121-1260-M. The incorporation of data sourced from CHS in this product shall not be construed as constituting an endorsement by CHS of this project. This product does not meet the requirements of the Charts and Nautical Publications Regulations, 1995 under the Canadian Shipping Act, 2001. Official charts and publications, corrected and up-to-date, must be used to meet the requirements of those regulations. This work was supported in part through an Ontario Graduate Scholarship for Dan Weller and a research contract from Environment and Climate Change Canada. We appreciate the comments from two anonymous reviewers whose input improved the quality of this manuscript.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Weller, J.D., Chow-Fraser, P. Hydrogeomorphic modeling of low-marsh habitat in coastal Georgian Bay, Lake Huron. Wetlands Ecol Manage 27, 207–221 (2019). https://doi.org/10.1007/s11273-019-09655-6
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11273-019-09655-6