, Volume 35, Issue 6, pp 1065–1076 | Cite as

Managed Habitats Increase Occupancy of Black Rails (Laterallus jamaicensis) and May Buffer Impacts from Sea Level Rise

  • Nicolette S. RoachEmail author
  • Kyle Barrett
Original Research


Global wetland degradation and loss are occurring at a rapid rate, and in the United States over 50 % of wetlands in the lower 48 states have been altered since European settlement. In some cases, wetlands that were historically transformed for agriculture are now managed as wetland habitat. We conducted occupancy surveys for black rails (Laterallus jamaicensis) in managed and unmanaged areas of coastal South Carolina. We modeled landscape and local variables potentially influencing black rail occupancy and we assessed whether these habitat associations indicated vulnerability following expected alterations from sea level rise. Black rails occupied 17 of 344 surveyed sites. Landscape factors had the strongest influence on black rail occupancy. Occupancy was associated with impounded marshes, decreasing distance to forest, and greater proportion of marsh landscape within a 200 m buffer. We mapped parameters from our top model to predict the amount of current and future suitable habitat under various sea level rise scenarios at Bear Island Wildlife Management Area, a black rail hotspot. Suitable habitat decreases in tidal marshes but increases in impounded areas. The current use of impoundments by black rails could represent a new management strategy for mitigating the loss of black rail habitat.


Coastal marshes Impoundment Conservation South Carolina Detection probability 



Funding for this project was provided by Nemours Wildlife Foundation, South Carolina Department of Natural Resources (SCDNR), and Georgia Ornithological Society. This research was approved under Clemson University Animal Use Protocol Number 2013-058. Thank you to Alyssa Roddy and Meghan Miller for their invaluable field assistance, the biologists at SCDNR, US Fish and Wildlife Service, Nemours Wildlife Foundation (especially for the logistical support through the project), and volunteers who helped to coordinate and survey black rails during the 2014 field season. Thank you to Baruch Institute of Coastal Ecology and Forest Science and Mackenzie Field Station for providing housing, access to marshes, and necessary resources. This manuscript was improved based on comments from Dr. Yoichiro Kanno, Dr. Pat Jodice, and two anonymous reviewers.


  1. Baldwin AH, McKee KL, Mendelssohn IA (1996) The influence of vegetation, salinity, and inundation on seed banks of oligohaline coastal marshes. Am J Bot 83:470–479. doi: 10.2307/2446216 CrossRefGoogle Scholar
  2. Baldwin AH, Mendelssohn IA (1998) Effects of salinity and water level on coastal marshes: an experimental test of disturbance as a catalyst for vegetation change. Aquat Bot 61:255–268CrossRefGoogle Scholar
  3. Brittain RA, Craft CB (2012) Effects of sea-level rise and anthropogenic development on priority bird species habitats in coastal Georgia, USA. Environ Manag 49:473–482. doi: 10.1007/s00267-011-9761-x CrossRefGoogle Scholar
  4. Brown M, Dinsmore JJ (1986) Implications of marsh size and isolation for marsh bird management. J Wildl Manag 50:392–397. doi: 10.2307/3801093 CrossRefGoogle Scholar
  5. Burnham KP, Anderson DR (2002) Model selection and multimodel inference: a practical information-theoretic approach. New York, New York.Google Scholar
  6. Cely JE, Ferral DP, Glover BA (1993) Marsh bird survey final report. U.S. Fish and Wildlife Service and South Carolina Department of Natural Resources, Charleston South CarolinaGoogle Scholar
  7. Christensen, NL (2000) Vegetation of the southeastern coastal plain. In: Barbour MG and Billings WD (eds) North American terrestrial vegetation, 2nd edn. Cambridge University Press, pp 397–448Google Scholar
  8. Colwell MA, Taft OW (2000) Waterbird communities in managed wetlands of varying water depth. Waterbird Soc 23:45–55Google Scholar
  9. Conway CJ, Eddleman WR, Anderson SH (1994) Nesting success and survival of Virginia rails and soras. Wilson Bull 466–473Google Scholar
  10. Conway CJ, Gibbs JP (2011) Summary of intrinsic and extrinsic factors affecting detection probability of marsh birds. Wetlands 31:403–411. doi: 10.1007/s13157-011-0155-x CrossRefGoogle Scholar
  11. Conway CJ, Gibbs JP (2005) Effectiveness of call-broadcast surveys for monitoring marsh birds. Auk 122:26–35. doi: 10.1642/00048038(2005)122[0026:EOCSFM]2.0.CO;2 CrossRefGoogle Scholar
  12. Conway CJ, Sulzman C (2007) Status and habitat use of the California black rail in the southwestern USA. Wetlands 27:987–998CrossRefGoogle Scholar
  13. Conway CJ, Sulzman C, Raulston BE (2004) Factors affecting detection probability of California black rails. J Wildl Manag 68:360–370CrossRefGoogle Scholar
  14. Craft C, Clough J, Ehman J, Joye S, Park R, Pennings S, Guo H, Machmuller M (2009) Forecasting the effects of accelerated sea-level rise on tidal marsh ecosystem services. Front Ecol Environ 7:73–78. doi: 10.1890/070219 CrossRefGoogle Scholar
  15. Dahl, TE (1990) Wetlands losses in the United States, 1780's to 1980's. Report to the Congress. No. PB-91–169284/XAB. National Wetlands Inventory, St. Petersburg, FL (USA), 1990.Google Scholar
  16. Daniels R, White T, Chapman K (1993) Sea-level rise: destruction of threatened and endangered species habitat in South Carolina. Environ Manag 17:373–385CrossRefGoogle Scholar
  17. Diefenbach DR, Brauning DW, Mattice JA (2003) Variability in grassland bird counts related to observer differences and species detection rates. Auk 120:1168–1179. doi: 10.1642/0004-8038(2003)120[1168:VIGBCR]2.0.CO;2 CrossRefGoogle Scholar
  18. Eddleman WR, Knopf FL, Meanley B, et al (1988) Conservation of North American rallids. Wilson Bull 100:458–475Google Scholar
  19. Elphick CS (2004) Assessing conservation trade-offs: identifying the effects of flooding rice fields for waterbirds on non-target bird species. Biol Conserv 117:105–110. doi: 10.1016/S0006-3207(03)00264-7 CrossRefGoogle Scholar
  20. Evens JG, Page GW, Laymon SA, Stallcup RW (1991) Distribution, relative abundance and status of the California black rail in Western North America. Condor 93:952. doi: 10.2307/3247730 CrossRefGoogle Scholar
  21. Evens J, Nur N (2002) California black rails in the San Francisco bay region: spatial and temporal variation in distribution and abundance. Bird Populations 6:1–12Google Scholar
  22. Farnsworth GL, Pollock KH, Nichols JD, Simons TR, Hines JE, Sauer JR (2002) A removal model for estimating detection probabilities from point-count surveys. Auk 119:414–425. doi: 10.1642/0004-8038(2002)119[0414:ARMFED]2.0.CO;2 CrossRefGoogle Scholar
  23. Fielding AH, Bell JF (1997) A review of methods for the assessment of prediction errors in conservation presence/absence models. Environ Conserv 24:38–49CrossRefGoogle Scholar
  24. Fleishman E, Thomson JR, Kalies EL, Dickson BG, Dobkin DS, Leu M (2014) Projecting current and future location, quality, and connectivity of habitat for breeding birds in the great basin. Ecosphere 5:1–29. doi: 10.1890/ES13-00387.1 CrossRefGoogle Scholar
  25. Flores RE, Eddleman WR (1995) California black rail use of habitat in southwestern Arizona. J Wildl Manag 59:357–363. doi: 10.2307/3808949 CrossRefGoogle Scholar
  26. Fujioka M, Don Lee S, Kurechi M, Yoshida H (2010) Bird use of rice fields in Korea and japan. Waterbirds 33:8–29. doi: 10.1675/063.033.s102 CrossRefGoogle Scholar
  27. Gaines KF, Cumbee Jr JC, Stephens Jr WL (2003) Nest characteristics of the clapper rail in coastal Georgia. J Field Ornithol 74:152–156CrossRefGoogle Scholar
  28. Gordon DH, Gray BT, Kaminski RM (1998) Dabbling duck-habitat associations during winter in coastal South Carolina. J Wildl Manag 62:569–580. doi: 10.2307/3802331 CrossRefGoogle Scholar
  29. Greenberg R, Maldonado JE, Droege S, McDonald MV (2006) Tidal marshes: a global perspective on the evolution and conservation of their terrestrial vertebrates. Bioscience 56:675. doi: 10.1641/0006-3568(2006)56[675:TMAGPO]2.0.CO;2 CrossRefGoogle Scholar
  30. Haramis GM, Kearns GD (2007) Soras in tidal marsh: banding and telemetry studies on the Patuxent River, Maryland. Waterbirds 30:105–121. doi: 10.1675/1524-4695(2007)030[0105:SITMBA]2.0.CO;2 CrossRefGoogle Scholar
  31. Kerlinger P, Wiedner DS (1991) Vocal behavior and habitat use of black rails in south jersey. Rec N J Birds 16:58–62Google Scholar
  32. Koper N, Schmiegelow FKA (2006) Effects of habitat management for ducks on target and nontarget species. J Wildl Manag 70:823–834. doi: 10.2193/0022-541X(2006)70[823:EOHMFD]2.0.CO;2 CrossRefGoogle Scholar
  33. Lee SY, Dunn RJK, Young RA, Connolly RM, Dale PER, Dehayr R, Lemckert CJ, Mckinnon S, Powell B, Teasdale PR, Welsh DT (2006) Impact of urbanization on coastal wetland structure and function. Austral Ecol 31:149–163. doi: 10.1111/j.1442-9993.2006.01581.x CrossRefGoogle Scholar
  34. Legare ML, Eddleman WR (2001) Home range size, nest-site selection and nesting success of black rails in Florida. J Field Ornithol 72:170–177CrossRefGoogle Scholar
  35. Legare ML, Eddleman WR, Buckley PA, Kelly C (1999) The effectiveness of tape playback in estimating black rail density. J Wildl Manag 63:116–125. doi: 10.2307/3802492 CrossRefGoogle Scholar
  36. Lehtinen RM, Galatowitsch SM, Tester JR (1999) Consequences of habitat loss and fragmentation for wetland amphibian assemblages. Wetlands 19:1–12CrossRefGoogle Scholar
  37. Maeda T (2001) Patterns of bird abundance and habitat use in rice fields of the Kanto Plain, central Japan. Ecol Res 16:569–585CrossRefGoogle Scholar
  38. Mackenzie DI, Nichols JD, Lachman GB, Droege S, Andrew RJ, Langtimm CA (2002) Estimating site occupancy rates when detection probabilities are less than one. Ecology 83:2248–2255CrossRefGoogle Scholar
  39. Martin K, Koper N, Bazin R (2014) Optimizing repeat-visit, call-broadcast nocturnal surveys for yellow rails (coturnicops noveboracensis). Waterbirds 37:68–78. doi: 10.1675/063.037.0109 CrossRefGoogle Scholar
  40. Ma Z, Cai Y, Li B, Chen J (2010) Managing wetland habitats for waterbirds: An international perspective. Wetlands 30:15–27. doi: 10.1007/s13157-009-0001-6 CrossRefGoogle Scholar
  41. Meents JK, Rice J, Anderson BW, Ohmart RD (1983) Nonlinear relationships between birds and vegetation. Ecology 64:1022–1027. doi: 10.2307/1937809 CrossRefGoogle Scholar
  42. Meyer JL, Sale MJ, Mulholland PJ, Poff NL (1999) Impacts of climate change on aquatic ecosystem functioning and health. J Am Water Resour Assoc 35:1373–1386CrossRefGoogle Scholar
  43. Morris JT, Sundareshwar PV, Nietch CT, Kjerfve B, Cahoon DR (2002) Responses of coastal wetlands to rising sea level. Ecology 83:2869–2877CrossRefGoogle Scholar
  44. Nicholls RJ, Hoozemans FM, Marchand M (1999) Increasing flood risk and wetland losses due to global sea-level rise: regional and global analyses. Glob Environ Chang 9:S69–S87CrossRefGoogle Scholar
  45. Olff H, Leeuw JD, Bakker JP, Platerink RJ, van Wijnen HJ (1997) Vegetation succession and herbivory in a salt marsh: Changes induced by sea level rise and silt deposition along an elevational gradient. J Ecol 85:799–814. doi: 10.2307/2960603 CrossRefGoogle Scholar
  46. Richmond OM, Chen SK, Risk BB, Tecklin J, Beissinger SR (2010) California black rails depend on irrigation-fed wetlands in the Sierra Nevada foothills. Calif Agric 64:85–93CrossRefGoogle Scholar
  47. Richmond OM, Tecklin J, Beissinger SR (2008) Distribution of California black rails in the sierra Nevada foothills. J. Field Ornithol 79:381–390. doi: 10.1111/j.1557-9263.2008.00195.x CrossRefGoogle Scholar
  48. Robinson KF, Jennings CA (2014) A comparison of resident fish assemblages in managed and unmanaged coastal wetlands in North Carolina and South Carolina. Southeast Nat 13:237–260. doi: 10.1656/058.013.0207 CrossRefGoogle Scholar
  49. Rundle D, Fredrickson LH (1981) Managing seasonally flooded impoundments for migrant rails and shorebirds. Wildl Soc Bull 9:80–87Google Scholar
  50. Rush SA, Soehren EC, Woodrey MS, Graydon CL, Cooper RJ (2009) Occupancy of select marsh birds within northern Gulf of Mexico tidal marsh: current estimates and projected change. Wetlands 29:798–808Google Scholar
  51. Russell KR, Guynn Jr DC, Hanlin HG (2002) Importance of small isolated wetlands for herpetofaunal diversity in managed, young growth forests in the coastal plain of South Carolina. For Ecol Manag 163:43–59CrossRefGoogle Scholar
  52. Sánchez-Guzmán JM, Morán R, Masero JA, Corbacho C, Costillo E, Villegas A, Santiago-Quesada F (2007) Identifying new buffer areas for conserving waterbirds in the Mediterranean basin: the importance of the rice fields in Extremadura, Spain. Biodivers Conserv 16:3333–3344. doi: 10.1007/s10531-006-9018-9 CrossRefGoogle Scholar
  53. Spautz H, Nur N, Stralberg D (2005) California black rail (Laterallus jamaicensis coturniculus) distribution and abundance in relation to habitat and landscape features in the San Francisco bay estuary general report. U.S. Department of Agriculture Forest ServiceGoogle Scholar
  54. Spear LB, Terrill SB, Lenihan C, Delevoryas P (1999) Effects of temporal and environmental factors on the probability of detecting California black rails. J Field Ornithol 70:465–480Google Scholar
  55. Syphard AD, Franklin J (2009) Differences in spatial predictions among species distribution modeling methods vary with species traits and environmental predictors. Ecography 32:907–918. doi: 10.1111/j.1600-0587.2009.05883.x CrossRefGoogle Scholar
  56. Taft OW, Colwell MA, Isola CR, Safran RJ (2002) Waterbird responses to experimental drawdown: implications for the multispecies management of wetland mosaics. J Appl Ecol 39:987–1001CrossRefGoogle Scholar
  57. Simons TR, Pollock KH, Wettroth JM, Alldredge MW, Pacifici K, Brewster J (2009) Sources of measurement error, misclassification error, and bias in auditory avian point count data. In: Thomson DL, Cooch EG, Conroy MJ (eds) Modeling demographic processes in marked populations. Springer US, Boston, MA, pp. 237–254CrossRefGoogle Scholar
  58. Tiner RW (1984) Wetlands of the United States: Current status and recent trends final report. United States Fish and Wildlife ServiceGoogle Scholar
  59. Tori GM, McLeod S, McKnight K, Moorman T, Reid FA (2002) Wetland conservation and ducks unlimited: real world approaches to multispecies management. Waterbirds 25:115–121CrossRefGoogle Scholar
  60. Tsao DC, Takekawa JY, Woo I, Yee JL, Evens JG (2009) Home range, habitat selection, and movements of California black rails at tidal marshes at San Francisco bay, California. Condor 111:599–610. doi: 10.1525/cond.2009.090004 CrossRefGoogle Scholar
  61. Wang L, Lyons J, Kanehl P, Bannerman R (2001) Impacts of urbanization on stream habitat and fish across multiple spatial scales. Environ Manag 28:255–266CrossRefGoogle Scholar
  62. Warren RS, Niering WA (1993) Vegetation change on a northeast tidal marsh: Interaction of sea-level rise and marsh accretion. Ecology 74:96–103. doi: 10.2307/1939504 CrossRefGoogle Scholar
  63. Weber LM, Haig SM (1996) Shorebird use of South Carolina managed and natural coastal wetlands. J Wildl Manag 60:73–82. doi: 10.2307/3802042 CrossRefGoogle Scholar
  64. Zedler JB, Kercher S (2005) Wetland resources: Status, trends, ecosystem services, and restorability. Annu Rev Environ Resour 30:39–74. doi: 10.1146/ CrossRefGoogle Scholar
  65. Zuckerberg B, Porter WF, Corwin K (2009) The consistency and stability of abundance-occupancy relationships in large-scale population dynamics. J Anim Ecol 78:172–181CrossRefPubMedGoogle Scholar

Copyright information

© Society of Wetland Scientists 2015

Authors and Affiliations

  1. 1.Department of Forestry and Environmental ConservationClemson UniversityClemsonUSA
  2. 2.Department of Wildlife and Fisheries SciencesTexas A&M UniversityCollege StationUSA

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