, Volume 788, Issue 1, pp 371–383 | Cite as

Nesting substrate and water-level fluctuations influence wading bird nesting patterns in a large shallow eutrophic lake

  • Jennifer E. Chastant
  • Michelle L. Petersen
  • Dale E. Gawlik
Primary Research Paper


Water-level fluctuations determine the ecological function of shallow lakes and wetlands. Wading birds (Pelecaniformes and Ciconiiformes) are reliable indicators of the biotic conditions at multiple trophic levels, thereby reflecting an ecosystem response to water-level changes. We used a historic nesting record dating back to 1977 and an information-theoretic approach to identify environmental factors that were most important for predicting the number of wading bird nests at Lake Okeechobee, a highly managed reservoir in Florida. The three top models accounted for 71% of the Akaike weight. Model variables included area of willow (Salix spp.) for nesting substrate, maximum depth of the lake on January 1, and foraging habitat availability over the nesting season. Collectively, the results suggest that the number of nests was greatest when area of nesting substrate was high and water levels were moderate (3.9–4.4 m). Nesting substrate was greatest when water levels fell below 3.9 m at least once every three years. Nest numbers dropped when either nesting substrate or foraging habitat was limited. This study identifies key hydrological parameters that support large populations of breeding wading birds and thus promote healthy, functioning wetland ecosystems.


Foraging ecology Habitat availability Hydrology Reservoir management Salix 



We thank our field research crews and fellow researchers who assisted in collection of field data: G. Akerman, R. Botta, J. Bredlau, E. Dancer, M. Dillon, B. Farmer, A. Galle, R. Hartman, P. Heidemann, F. Marenghi, D. Marx, J. Michaud, K. Norris, and E. Plazarte. We benefited from discussions with B. Botson, C. Callaghan, P. Gray, C. Hanlon, G. Herring, J. Klassen, and B. Sharfstein. SFWMD staff generously provided data on the locations and characteristics of wading bird foraging flocks. Funding for this research was provided by the U.S. Army Engineer Research and Development Center (Grant No. W912HZ-09-2-0022), the National Park Service (Grant No. J5297 05 0083), and Florida Atlantic University. Research techniques were approved by the Florida Atlantic University Institutional Animal Care and Use Committee (Protocol A10-30) and conducted under U.S. Fish and Wildlife Service Research Permit 23354.


  1. Acreman, M. C., J. Fisher, C. J. Stratford, D. J. Mould & J. O. Mountford, 2007. Hydrological science and wetland restoration: some case studies from Europe. Hydrology and Earth System Sciences 11: 158–169.CrossRefGoogle Scholar
  2. Anderson, D. R., 2007. Model based inference in the life sciences: a primer on evidence. Springer, New York.Google Scholar
  3. Aumen, N. G., 1995. The history of human impacts, lake management, and limnological research on Lake Okeechobee, Florida (USA). Archiv fr Hydrobiologie (Special Issues, Advances in Limnology) 45: 1–16.Google Scholar
  4. Bancroft, G. T., 1989. Status and conservation of wading birds in the Everglades. American Birds 43: 1258–1265.Google Scholar
  5. Bancroft, G. T., A. M. Strong, R. J. Sawicki, W. Hoffman & S. D. Jewell, 1994. Relationships among wading bird foraging patterns, colony locations, and hydrology in the Everglades. In Davis, S. M. & J. C. Ogden (eds), Everglades: The Ecosystem and Its Restoration. St. Lucie Press, Delray Beach: 615–657.Google Scholar
  6. Bancroft, G. T., D. E. Gawlik & K. Rutchey, 2002. Distribution of wading birds relative to vegetation and water depths in the northern Everglades of Florida, USA. Waterbirds 25: 265–277.CrossRefGoogle Scholar
  7. Baumgärtner, D., M. Mörtl & K. O. Rothhaupt, 2008. Effects of water-depth and water-level fluctuations on the macroinvertebrate community structure in the littoral zone of Lake Constance. Hydrobiologia 613: 97–107.CrossRefGoogle Scholar
  8. Bildstein, K. L., W. Post, J. Johnston & P. Frederick, 1990. Freshwater wetlands, rainfall, and the breeding ecology of White Ibises in coastal South Carolina. Wilson Bulletin 102: 84–98.Google Scholar
  9. Beerens, J. M., P. C. Frederick, E. G. Noonburg & D. E. Gawlik, 2015. Determining habitat quality for species that demonstrate dynamic habitat selection. Ecology and Evolution. doi: 10.1002/ece3.1813.PubMedPubMedCentralGoogle Scholar
  10. Botta, R. A., 2014. A habitat suitability model for wading birds in a large subtropical lake: linking hydrologic fluctuations and nesting. M.S. Thesis, Florida Atlantic University, Boca Raton.Google Scholar
  11. Burke, C. M. & W. A. Montevecchi, 2009. The foraging decisions of a central place foraging seabird in response to fluctuations in local prey conditions. Journal of Zoology 278: 354–361.CrossRefGoogle Scholar
  12. Burnham, K. P. & D. R. Anderson, 2002. Model Selection and Multimodel Inference: A Practical Information-Theoretic Approach, 2nd ed. Springer, New York.Google Scholar
  13. Canepuccia, A. D., J. P. Isacch, D. A. Gagliardini, A. H. Escalante & O. O. Iribarne, 2007. Waterbird response to changes in habitat area and diversity generated by rainfall in a SW Atlantic coastal lagoon. Waterbirds 30: 541–553.CrossRefGoogle Scholar
  14. Carpenter, S. R., E. H. Stanley & M. J. Vander Zanden, 2011. State of the world’s freshwater ecosystems: physical, chemical, and biological changes. Annual Review of Environment and Resources 36: 75–99.CrossRefGoogle Scholar
  15. Casanova, M. T. & M. A. Brock, 2000. How do depth, duration and frequency of flooding influence the establishment of wetland plant communities? Plant Ecology 147: 237–250.CrossRefGoogle Scholar
  16. Cézilly, F., V. Boy, R. E. Green, G. J. M. Hirons & A. R. Johnson, 1995. Interannual variation in Greater Flamingo breeding success in relation to water levels. Ecology 76: 20–26.CrossRefGoogle Scholar
  17. Coops, H. & S. H. Hosper, 2002. Water-level management as a tool for the restoration of shallow lakes in the Netherlands. Lake and Reservoir Management 18: 293–298.CrossRefGoogle Scholar
  18. Coops, H., M. Beklioglu & T. L. Crisman, 2003. The role of water-level fluctuations in shallow lake ecosystems—workshop conclusions. Hydrobiologia 506–509: 23–27.CrossRefGoogle Scholar
  19. Crowley, P. H., 1992. Resampling methods for computation-intensive data analysis in ecology and evolution. Annual Review of Ecology and Systematics 23: 405–447.CrossRefGoogle Scholar
  20. Crozier, G. E. & D. E. Gawlik, 2003. Wading bird nesting effort as an index to wetland ecosystem integrity. Waterbirds 26: 303–324.CrossRefGoogle Scholar
  21. Cui, B., Y. Hua, C. Wang, X. Liao, X. Tan & W. Tao, 2010. Estimation of ecological water requirements based on habitat response to water level in Huanghe River delta, China. Chinese Geographical Science 20: 318–329.CrossRefGoogle Scholar
  22. David, P. G., 1994a. Wading bird nesting at Lake Okeechobee, Florida: an historic perspective. Colonial Waterbirds 17: 69–77.CrossRefGoogle Scholar
  23. David, P. G., 1994b. Wading bird use of Lake Okeechobee relative to fluctuating water levels. Wilson Bulletin 106: 719–732.Google Scholar
  24. DesGranges, J., J. Ingram, B. Drolet, J. Morin, C. Savage & D. Borcard, 2006. Modeling wetland bird response to water level changes in the Lake Ontario-St. Lawrence River hydrosystem. Environmental Monitoring and Assessment 113: 329–365.CrossRefPubMedGoogle Scholar
  25. Dimalexis, A. & M. Pyrovetsi, 1997. Effects of water level fluctuations on wading bird foraging habitat use at an irrigation reservoir, Lake Kerkini, Greece. Colonial Waterbirds 20: 244–252.CrossRefGoogle Scholar
  26. Döll, P., K. Fiedler & J. Zhang, 2009. Global-scale analysis of river flow alterations due to water withdrawals and reservoirs. Hydrology and Earth System Sciences 13: 2413–2432.CrossRefGoogle Scholar
  27. Drent, R. H. & S. Daan, 1980. The prudent parent: energetic adjustments in avian breeding. Ardea 68: 225–252.Google Scholar
  28. Fischer, P. & U. Öhl, 2005. Effects of water-level fluctuations on the littoral benthic fish community in lakes: a mesocosm experiment. Behavioral Ecology 16: 741–746.CrossRefGoogle Scholar
  29. Frederick, P. C. & M. W. Collopy, 1989a. Nesting success of five Ciconiiform species in relation to water conditions in the Florida Everglades. Auk 106: 625–634.Google Scholar
  30. Frederick, P. C. & M. W. Collopy, 1989b. The role of predation in determining nesting success of five species of wading birds in the Florida Everglades. Condor 91: 860–867.CrossRefGoogle Scholar
  31. Frederick, P. C. & J. C. Ogden, 2001. Pulsed breeding of long-legged wading birds and the importance of infrequent severe drought conditions in the Florida Everglades. Wetlands 21: 484–491.CrossRefGoogle Scholar
  32. Frederick, P. C., T. Towles, R. J. Sawicki & G. T. Bancroft, 1996. Comparison of aerial and ground techniques for discovery and census of wading bird (Ciconiiformes) nesting colonies. Condor 98: 837–841.CrossRefGoogle Scholar
  33. Frederick, P. C., D. E. Gawlik, J. C. Ogden, M. I. Cook & M. Lusk, 2009. The White Ibis and Wood Stork as indicators for restoration of the Everglades ecosystem. Ecological Indicators 95: 583–595.Google Scholar
  34. Gafny, S., A. Gasith & M. Goren, 1992. Effect of water level fluctuation on shore spawning of Mirogrex terraesanctae (Steinitz), (Cyprinidae) in Lake Kineret, Israel. Journal of Fish Biology 41: 863–871.CrossRefGoogle Scholar
  35. Gbogbo, F., W. Oduro & S. K. Oppong, 2010. Response of waterbirds species to fluctuating water levels in tropical coastal wetlands. African Journal of Ecology 48: 637–643.Google Scholar
  36. Gawlik, D. E., 2002. The effects of prey availability on the numerical response of wading birds. Ecological Monographs 72: 329–346.CrossRefGoogle Scholar
  37. González, J. A., 1997. Seasonal variation in the foraging ecology of the Wood Stork in the southern Llanos of Venezuela. Condor 99: 671–680.CrossRefGoogle Scholar
  38. Hafner, H., R. E. Bennetts & Y. Kayser, 2001. Changes in clutch size, brood size and numbers of nesting Squacco Herons Ardeola ralloides over a 32-year period in the Camargue, southern France. Ibis 143: 11–16.CrossRefGoogle Scholar
  39. Hagen, M., W. D. Kissling, C. Rasmussen, D. W. Carstensen, Y. L. Dupont, C. N. Kaiser-Bunbury, E. J. O’Gorman, J. M. Olesen, M. A. M. de Aguiar, L. E. Brown, I. Alves-Dos-Santos, P. R. Guimarães, K. P. Maia, F. M. D. Marquitti, M. M. Vidal, F. K. Edwards, J. Genini, G. B. Jenkins, K. Trøjelsgaard, G. Woodward, P. Jordano, M. E. Ledger, T. Mclaughlin, L. P. C. Morellato & J. M. Tylianakis, 2012. Biodiversity, species interactions and ecological networks in a fragmented world. Advances in Ecological Research 46: 89–120.CrossRefGoogle Scholar
  40. Havens, K. E. & D. E. Gawlik, 2005. Lake Okeechobee conceptual ecological model. Wetlands 25: 908–925.CrossRefGoogle Scholar
  41. Herring, G., D. E. Gawlik, M. I. Cook & J. M. Beerens, 2010. Sensitivity of nesting Great Egrets (Ardea alba) and White Ibises (Eudocimus albus) to reduced prey availability. Auk 127: 660–670.CrossRefGoogle Scholar
  42. Jin, K. R., J. H. Hamrick & T. Tisdale, 2000. Application of three-dimensional hydrodynamic model for Lake Okeechobee. Journal of Hydraulic Engineering 126: 758–771.CrossRefGoogle Scholar
  43. Johnson, K. G., M. S. Allen & K. E. Havens, 2007. A review of littoral vegetation, fisheries, and wildlife responses to hydrologic variation at Lake Okeechobee. Wetlands 27: 110–126.CrossRefGoogle Scholar
  44. Junk, W. J., P. B. Bayley & R. E. Sparks, 1989. The flood pulse concept in river-floodplain systems. In Dodge, D. P. (ed.), Proceedings of the International Large River Symposium. Canadian Special Publication of Fisheries and Aquatic Sciences: 110–127.Google Scholar
  45. Kahl, M. P. Jr., 1964. Food ecology of the Wood Stork (Mycteria americana) in Florida. Ecological Monographs 34: 97–117.CrossRefGoogle Scholar
  46. Kingsford, R. T., 2000. Protecting rivers in arid regions or pumping them dry? Hydrobiologia 427: 1–11.CrossRefGoogle Scholar
  47. Kingsford, R. T., 2011. Conservation management of rivers and wetlands under climate change—a synthesis. Marine and Freshwater Research 62: 217–222.CrossRefGoogle Scholar
  48. Kingsford, R. T. & K. M. Auld, 2005. Waterbird breeding and environmental flow management in the Macquarie marshes, arid Australia. River Research and Applications 21: 187–200.CrossRefGoogle Scholar
  49. Kingsford, R. T., D. A. Roshier & J. L. Porter, 2010. Australian waterbirds - time and space travellers in dynamic desert landscapes. Marine and Freshwater Research 61: 875–884.CrossRefGoogle Scholar
  50. Kingsford, R. T. & R. F. Thomas, 2004. Destruction of wetlands and waterbird populations by dams and irrigation on the Murrumbidgee river in arid Australia. Environmental Management 34: 383–396.CrossRefPubMedGoogle Scholar
  51. Klassen, J. A. & D. E. Gawlik, 2012. Preliminary evidence of prey preference and colony decline after a water recession reversal. In Cook, M. I. & M. Kobza (eds), South Florida Wading Birds Report, Vol 18. South Florida Water Management District, West Palm Beach: 48–49.Google Scholar
  52. Kushlan, J. A., 1976. Wading bird predation in a seasonally fluctuating pond. Auk 93: 464–476.Google Scholar
  53. Kushlan, J. A., 1986. Responses of wading birds to seasonally fluctuating water levels: strategies and their limits. Colonial Waterbirds 9: 155–162.CrossRefGoogle Scholar
  54. Kushlan, J. A. & M. S. Kushlan, 1980. Everglades alligator nests: nesting sites for marsh reptiles. Copeia 1980: 930–932.CrossRefGoogle Scholar
  55. Lack, D., 1947. The significance of clutch-size. Ibis 89: 302–352.CrossRefGoogle Scholar
  56. Lantz, S. M., D. E. Gawlik & M. I. Cook, 2010. The effects of water depth and submerged aquatic vegetation on the selection of foraging habitat and foraging success of wading birds. Condor 112: 460–469.CrossRefGoogle Scholar
  57. Liang, J., X. Yu, G. Zeng, H. Wu, X. Lai, X. Li, L. Huang, Y. Yuan, S. Guo & J. Dai, 2015. A hydrologic index based method for determining ecologically acceptable water-level range of Dongting Lake. Journal of Limnology 74: 75–84.Google Scholar
  58. Loftus, W. F. & A. M. Eklund, 1994. Long term dynamics of an Everglades small fish assemblage. In Davis, S. M. & J. C. Ogden (eds), Everglades: The Ecosystem and Its Restoration. St. Lucie Press, Boca Raton: 461–483.Google Scholar
  59. Lorenz, J. J., 2014. The relationship between water level, prey availability and reproductive success in Roseate Spoonbills foraging in a seasonally-flooded wetland while nesting in Florida Bay. Wetlands 34: S201–S211.CrossRefGoogle Scholar
  60. Ma, Z., Y. Cai, B. Li & J. Chen, 2010. Managing wetland habitats for waterbirds: an international perspective. Wetlands 30: 15–27.CrossRefGoogle Scholar
  61. Mourão, G., W. Tomas & Z. Campos, 2010. How much can the number of Jabiru Stork (Ciconiidae) nests vary due to change in flood extension in a large Neotropical floodplain? Zoologia 27: 751–756.CrossRefGoogle Scholar
  62. Nakagawa, S. & I. C. Cuthill, 2007. Effect size, confidence interval and statistical significance: a practical guide for biologists. Biological Reviews 82: 591–605.CrossRefPubMedGoogle Scholar
  63. Nuttle, W. K., (1997) Measurement of wetland hydroperiod using harmonic analysis. Wetlands 17: 82–89CrossRefGoogle Scholar
  64. Ogden, J. C., 1994. A comparison of wading bird nesting colony dynamics (1931-1946 and 1974-1989) as an indication of ecosystem conditions in the southern Everglades. In Davis, S. M. & J. C. Ogden (eds), Everglades: The Ecosystem and Its Restoration. St. Lucie Press, Delray Beach: 533–570.Google Scholar
  65. Padisák, J. & C. S. Reynolds, 2003. Shallow lakes: the absolute, the relative, the functional and the pragmatic. Hyrobiologia 506–509: 1–11.CrossRefGoogle Scholar
  66. Poff, N. L. & J. K. H. Zimmerman, 2010. Ecological responses to altered flow regimes: a literature review to inform the science and management of environmental flows. Freshwater Biology 55: 194–205.CrossRefGoogle Scholar
  67. RECOVER, 2014. External Draft, 2014 System Status Report (Chapter 6). Restoration Coordination and Verification Program, c/o United States Army Corps of Engineers, Jacksonville District, Jacksonville, Florida, and South Florida Water Management District, West Palm Beach [Published at].
  68. Richardson, J. R. & T. T. Harris, 1995. Vegetation mapping and change detection in the Lake Okeechobee marsh ecosystem. Archiv fr Hydrobiologie (Special Issues, Advances in Limnology) 45: 17–39.Google Scholar
  69. Riis, T. & I. Hawes, 2002. Relationships between water level fluctuations and vegetation diversity in shallow water of New Zealand lakes. Aquatic Botany 74: 133–148.CrossRefGoogle Scholar
  70. SAS Institute, Inc. 2013. SAS statistical software v. 9.4. SAS Institute, Inc., Cary, North Carolina.Google Scholar
  71. Sherley, R. B., L. G. Underhill, B. J. Barham, P. J. Barham, J. C. Coetzee, R. J. M. Crawford, B. M. Dyer, T. M. Leshoror & L. Upfold, 2013. Influence of local and regional prey availability on breeding performance of African penguins Spheniscus demersus. Marine Ecology Progress Series 473: 291–301.CrossRefGoogle Scholar
  72. Smith, J. P. & M. W. Collopy, 1995. Colony turnover, nest success and productivity, and causes of nest failure among wading birds (Ciconiiformes) at Lake Okeechobee, Florida, (1989-1992). Archiv fr Hydrobiologir (Special Issues, Advances in Limnology) 45: 287–316.Google Scholar
  73. Smith, J. P., Richardson J. R. & M. W. Collopy, 1995. Foraging habitat selection among wading birds (Ciconiiformes) at Lake Okeechobee, Florida, in relation to hydrology and vegetative cover. Archiv fr Hydrobiologie (Special Issues, Advanced Limnology) 45: 247–285.Google Scholar
  74. Snyder, N. F. R., S. R. Beissinger & R. E. Chandler, 1989. Reproduction and demography of the Florida Everglade (Snail) Kite. Condor 91: 300–316.CrossRefGoogle Scholar
  75. South Florida Water Management District, 2010. Final adaptive protocols for Lake Okeechobee operations. South Florida Water Management District, West Palm Beach, Florida [Published at http://www.sfwmd.gov/portal/page/portal/xrepository/sfwmd_repository_pdf/ap_lo_final_20100916.pdf].
  76. South Florida Water Management District, 2014. DBHYDRO browser, environmental monitoring [Published at http://www.sfwmd.gov/dbhydro/].
  77. Stephen, D., D. M. Balayla, E. Bécares, S. E. Collings, C. Fernández-Aláez, M. Fernández-Aláez, C. Ferriol, P. García, J. Gomá, M. Gyllström, L. A. Hansson, J. Hietala, T. Kairesalo, M. R. Miracle, S. Romo, J. Rueda, A. Ståhl-Del Banco, M. Svensson, K. Vakkilainen, M. Valentín, W. J. Van de Bund, E. Van Donk, E. Vicente, M. J. Villena & B. Moss, 2004. Continental-scale patterns of nutrient and fish effects on shallow lakes: introduction to a pan-European mesocosm experiment. Freshwater Biology 49: 1517–1524.CrossRefGoogle Scholar
  78. Timmermans, S. T. A., S. S. Badzinski & J. W. Ingram, 2008. Associations between breeding marsh bird abundances and Great Lakes hydrology. Journal of Great Lakes Research 34: 351–364.CrossRefGoogle Scholar
  79. Trexler, J. C., W. F. Loftus, F. Jordan, J. H. Chick, K. L. Kandl, T. C. McElroy & O. L. Bass Jr., 2002. Ecological scale and its implications for freshwater fishes in the Florida Everglades. In Porter, J. W. & K. G. Porter (eds), The Everglades, Florida Bay, and Coral Reefs of the Florida Keys: An Ecosystem Sourcebook. CRC Press, Boca Raton: 153–181.Google Scholar
  80. Winchester, C., S. B. Castleberry & M. T. Mengak, 2009. Evaluation of factors restricting distribution of the endangered Key Largo Woodrat. Journal of Wildlife Management 73: 374–379.CrossRefGoogle Scholar
  81. Yin, X. A. & Z. F. Yang, 2012. A method to assess the alteration of water-level-fluctuation patterns in lakes. Procedia Environmental Sciences 13: 2427–2436.CrossRefGoogle Scholar
  82. Zedler, J. B. & S. Kercher, 2005. Wetland resources: status, trends, ecosystem services, and restorability. Annual Review of Environment and Resources 30: 39–74.CrossRefGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Jennifer E. Chastant
    • 1
  • Michelle L. Petersen
    • 1
  • Dale E. Gawlik
    • 1
  1. 1.Department of Biological SciencesFlorida Atlantic UniversityBoca RatonUSA

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