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Hydrobiologia

, Volume 279, Issue 1, pp 171–183 | Cite as

Use of boreal forested wetlands by Pacific loons (Gavia pacifica Lawrence) and horned grebes (Podiceps auritus L.): relations with limnological characteristics

  • P. J. Heglund
  • J. R. Jones
  • L. H. Frederickson
  • M. S. Kaiser
Article

Abstract

Our objective was to determine if the occurrence and abundance of Pacific loons (Gavia pacifica Lawrence) and horned grebes (Podiceps auritus L.) on 123 wetlands of Yukon Flats National Wildlife Refuge in east central Alaska were related to the limnological characteristics of those wetlands. Aquatic bird-wetland use surveys were conducted in conjunction with limnological sampling from May through September 1985–87 and May through August 1989. Results from logistic regression analysis demonstrated a significant association between the probability of wetland use by Pacific loons and shoreline length, water color, calcium and total phosphorus. Wetland use by horned grebes was related to shoreline length, pH, and chlorophyll. Aquatic bird abundance was then used as a Poisson response variable and modeled as a function of wetland limnological characteristics. Our results indicate that Pacific loon abundance was adequately modeled by linear and quadratic functions of shoreline length, color, pH, calcium and total phosphorus. Horned grebe abundance could not be modeled with this approach. The statistical techniques known collectively as generalized linear models provided a framework for the development of models for aquatic bird use of wetlands. Our results, however, indicate that while this approach shows promise, a better understanding of how to model aquatic bird abundance is needed. We then identify problems in model development and suggest avenues for future research.

Key words

Pacific loon horned grebe wetland selection limnology total phosphorus wetlands 

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References

  1. Alvo, R., D. J. T. Hussel & M. Berrill, 1988. The breeding success of common loons (Gavia immer) in relation to alkalinity and other lake characteristics in Ontario. Can. J. Zool. 66: 746–752.Google Scholar
  2. American Public Health, 1981. Standard methods for water and wastewater. American Public Health Association, Washington, D.C., 1134 pp.Google Scholar
  3. Austin, M. P., 1980. Searching for a model for use in vegetation analysis. Vegetatio 42: 11–21.Google Scholar
  4. Barr, J. F., 1973. Feeding ecology of the common loon (Gavia immer) in oligotrophic lakes of the Canadian Shield. Ph.D. thesis. Univ. of Guelph, Ontario, Canada.Google Scholar
  5. Barr, J. F., 1986. Population dynamics of the common loon (Gavia immer) associated with mercury-contaminated waters in northwestern Ontario. Can. Wildl. Set. Occas. Pap. No. 56.Google Scholar
  6. Bergman, R. D. & D. V. Derksen, 1977. Observations on arctic and red-throated loons at Storkerson Point, Alaska. Arctic 30: 41–51.Google Scholar
  7. Boyd, W. S., J. -P. L. Savard & G. E. J. Smith, 1989. Relationships between aquatic birds and wetland characteristics in the aspen parklands, central British Columbia. Can. Wildl. Serv. Tech. Rep. Ser. No. 70.Google Scholar
  8. Burger, J. 1985. Habitat selection in temperate marsh nesting birds. Pages 253–281. In M. L. Cody (ed.), Habitat selection in birds. Academic Press, Inc., Orlando, Florida.Google Scholar
  9. Cody, M. L., 1985. Habitat selection in birds. Academic Press, Inc., Orlando, Florida, 558 pp.Google Scholar
  10. DesGranges, J. -L., 1989. Studies of the effects of acidification on aquatic wildlife in Canada: lacustrine birds and their habitats in Quebec. Can. Wildl. Ser. Occas. Pap. No. 67.Google Scholar
  11. D'Elia, C. F., P. A. Stendler & N. Corwin, 1977. Determination of total nitrogen in aqueous samples using persulfate digestion. Limnol. Oceanogr. 22: 760–764.Google Scholar
  12. Dunker, H., 1974. Habitat selection and territory size of the black-throated diver, Gavia arctica (L.), in south Norway. Norw. J. Zool. 22: 15–29.Google Scholar
  13. Eriksson, M. O. G., 1986. Reproduction of black-throated divers, Gavia arctica, in relation to fish density in oligotrophic lakes in southwestern Sweden. Ornis Scand. 17: 245–248.Google Scholar
  14. Faaborg, J., 1976. Habitat selection and territorial behavior of the small grebes of North Dakota. Wilson Bull. 88: 390–399.Google Scholar
  15. Ferguson, R. S. & S. G. Sealy, 1983. Breeding ecology of the horned grebe, Podiceps auritus, in southwestern Manitoba. Can. Field Nat. 97: 401–408.Google Scholar
  16. Forsberg, C. & S. Ryding, 1980. Eutrophication parameters and trophic state indicators in 30 Swedish waste-receiving lakes. Arch. Hydrobiol. 80: 189–207.Google Scholar
  17. Fox, A. D., N. Jarrett, H. Gitay & D. Paynter, 1989. Late summer habitat selection by breeding waterfowl in northern Scotland. Wildfowl 40: 106–114.Google Scholar
  18. Fox, A. D., K. S. Younge & S. G. Sealy, 1980. Breeding performance, pollutant burden and eggshell thinning in common loons, Gavia immer, nesting on a boreal forest lake. Ornis Scand. 11: 243–248.Google Scholar
  19. Gauch, H. G., Jr. & G. B. Chase, 1974. Fitting the Gaussian curve to ecological data. Ecology 55: 1382–1390.Google Scholar
  20. Gauch, H. G. & R. H. Whittaker, 1972. Coenocline simulation. Ecology 53: 446–451.Google Scholar
  21. Goldman, C. R. & A. J. Horne, 1983. Limnology. McGraw Hill Book Co., New York, 464 pp.Google Scholar
  22. Hach Chemical Company, 1978. Water and wastewater analysis procedures. 4th edn. Ames, IA.Google Scholar
  23. Heglund, P. J., 1988. Relations between waterbird use and the limnological characteristics of wetlands on Yukon Flats National Wildlife Refuge, Alaska. M.S. thesis, Univ. of Missouri-Columbia, Missouri. 179 pp.Google Scholar
  24. Hope, P. & J. Kerekes, 1986. Occurrence of fish-eating birds on lakes (clear and coloured) in Kejimkujik National Park. Pp. 127–132. In Kerekes, J. (ed.), Kejimkujik Calibrated Catchment Program Workshop Proc. LRTAP Liaison Office, AES Downsview.Google Scholar
  25. Hoyer, M. V. & D. E. Canfield, Jr., 1990. Limnological factors affecting bird abundance and species richness on Florida lakes. Lake and Reservoir Mgmt. 6: 133–141.Google Scholar
  26. Hoyer, M. V. & J. R. Jones, 1983. Factors affecting the relation between phosphorus and chlorophyll a in midwestern reservoirs. Can. J. Fish. aquat. Sci. 40: 192–199.Google Scholar
  27. Hutchinson, G. E., 1957. A treatise on limnology. vol. 1. Geography, physics and chemistry. John Wiley & Sons, New York, 1015 pp.Google Scholar
  28. Kerekes, J., 1990. Possible correlation of summer common loon (Gavia immer) population with the trophic state of a waterbody. Ver. int. Ver. Limnol. 24: 349–353.Google Scholar
  29. Knowlton, M. F., 1984. Flow-through microcuvette for fluorometric determination of chlorophyll. Wat. Res. Bull. 20: 795–799.Google Scholar
  30. Lanctot, R. B. & P. X. Quang, 1992. Density of loons in central Alaska. Condor 92: 282–286.Google Scholar
  31. McCullagh, P. & J. A. Nelder, 1989. Generalized linear models. Second edition. Chapman and Hall, 1989. London, New York.Google Scholar
  32. McIntyre, J. W., 1975. Biology and behavior of the common loon (Gavia immer) with reference to its adaptability in a man-altered environment. Ph.D. thesis, Univ. of Minnesota, Minneapolis, 230 pp.Google Scholar
  33. McIntyre, J. W., 1983. Nurseries: a consideration of habitat requirements during the early chick-rearing period in common loons. J. Field Ornith. 54: 247–253.Google Scholar
  34. McIntyre, J. W., 1988. The common loon: spirit of northern lakes. Univ. Minnesota Press, Minneapolis, MN.Google Scholar
  35. McNicol, D. K., J. P. Blancher & R. K. Ross, 1987. Studies of the effects of acidification on aquatic wildlife in Canada: waterfowl and trophic relations in small lakes in northeastern Ontario, Canada. Can. Wildl. Ser. Occas. Pap. No. 62.Google Scholar
  36. McSwain, M. R. & R. J. Watrous, 1974. Improved methylthymol blue procedures for automated sulfate determination. Analyt. Chem. 46: 1329–1330.Google Scholar
  37. Meents, J. K., J. Rice, B. W. Anderson & R. D. Ohmart, 1983. Nonlinear relationships between birds and vegetation. Ecology 64: 1022–1027.Google Scholar
  38. Murphy, S. M., B. Kessel & L. J. Vining, 1984. Waterfowl populations and limnological characteristics of taiga ponds. J. Wildl. Mgmt. 48: 1156–1163.Google Scholar
  39. Nilsson, S. G. & I. N. Nilsson, 1978. Breeding bird community densities and species richness in lakes. Oikos 31: 214–221.Google Scholar
  40. Patterson, J. H., 1976. The role of environmental heterogeneity in the regulation of duck populations. J. Wildl. Mgmt. 40: 22–32.Google Scholar
  41. Petersen, M. R., 1989. Nesting biology of Pacific loons, Gavia pacifica, on the Yukon-Kuskokwin Delta, Alaska. Can. Field-Nat. 103: 265–269.Google Scholar
  42. Renken, R. B. & E. Wiggers, 1989. Forest characteristics related to pileated woodpecker territory size in Missouri. Condor 91: 642–652.Google Scholar
  43. Sartory, D. P. & J. U. Grobbelaar, 1984. Extraction of chlorophyll a from freshwater phytoplankton for spectrophotometric analysis. Hydrobiologia 114: 177–187.Google Scholar
  44. SAS Institute Inc., 1983. SUGI Supplemental Library User's Guide. SAS Institute Inc., Cary, NC, 402 pp.Google Scholar
  45. Seastedt, T. R. & S. F. MacLean, 1979. Territory size and composition in relation to resource abundance in Lapland Longspurs breeding in arctic Alaska. Auk 96: 131–142.Google Scholar
  46. Smith, T. M. & H. H. Shugart, 1987. Territory size variation in the ovenbird: the role of habitat structure. Ecology 68: 695–704.Google Scholar
  47. Snedecor, G. W. & W. G. Cochran, 1981. Statistical methods. Iowa State Univ. Press, Ames, Iowa, 507 pp.Google Scholar
  48. Stewart, R. E. & H. A. Kantrud, 1971. Classification of natural ponds and lakes in the glaciated prairie region. USFWS-Bureau of Sport Fish and Wildlife Resour. Publ. 92. Washington, D.C., 57 pp.Google Scholar
  49. Swanson, G. A., 1985. Invertebrates consumed by dabbling ducks (Anatinae) on the breeding grounds. J. Minn. Acad. Sci. 50: 37–40.Google Scholar
  50. Swanson, G. A., T. C. Winter, V. A. Adomaitis & J. W. LaBaugh, 1988. Chemical characteristics of prairie lakes in south-central North Dakota — their potential for influencing use by fish and wildlife. USDI-Fish and Wild. Serv. Tech. Rep. 18. Washington, D.C., 44 pp.Google Scholar
  51. Tate, J., Jr., 1986. The blue list for 1986. American Birds 40: 227–235.Google Scholar
  52. Ter Braake, C. J. F., 1987. The analysis of vegetation-environment relationships by canonical correspondence analysis. Vegetatio 69: 69–77.Google Scholar
  53. U.S. Environmental Protection Agency, 1975. Manual of methods for chemical analysis of water and wastes. EPA600/4–79–020. Office of Technology Transfer, Washington, D.C., 430 pp.Google Scholar
  54. U.S. Fish and Wildlife Service, 1987. Yukon Flats National Wildlife Service — Comprehensive Conservation Plan, Environmental Impact Statement and Wilderness Review. USDI-Fish and Wildlife Service, Anchorage, Alaska, 422 pp.Google Scholar
  55. Weins, J. A., 1985. Habitat selection in variable environments. In M. L. Cody (ed.), Habitat selection in birds. Academic Press, Inc. Orlando, Florida, 558 pp.Google Scholar
  56. Weller, M. W. & C. S. Spatcher, 1965. Role of habitat in the distribution and abundance of marsh birds. Spec. Rept. No. 43, Iowa Agric. and Home Econ. Exp. Sta., Iowa State Univ., Ames, 31 pp.Google Scholar
  57. Whittaker, R. H., 1956. Vegetation of the Great Smokey Mountains. Ecol. Monogr. 26: 1–80.Google Scholar
  58. Whittaker, R. H., 1967. Gradient analysis of vegetation. Biol. Rev. Camb. Phil. Soc. 49: 207–264.Google Scholar

Copyright information

© Kluwer Academic Publishers 1994

Authors and Affiliations

  • P. J. Heglund
    • 1
    • 2
  • J. R. Jones
    • 2
  • L. H. Frederickson
    • 3
  • M. S. Kaiser
    • 4
  1. 1.U.S. Fish and Wildlife ServiceAlaska Fish and Wildlife Research CenterAnchorageUSA
  2. 2.The School of Natural ResourcesUniversity of MissouriColumbiaUSA
  3. 3.Gaylord Memorial LaboratoryUniversity of MissouriPuxicoUSA
  4. 4.Department of StatisticsIowa State UniversityAmesUSA

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