, Volume 17, Issue 3, pp 473–484 | Cite as

Climate Drivers of Spartina alterniflora Saltmarsh Production in Georgia, USA

  • Kazimierz Więski
  • Steven C. Pennings


Tidal wetlands are threatened by global changes related not only to sea level rise but also to altered weather patterns. To predict consequences of these changes on coastal communities, it is necessary to understand how temporally varying abiotic conditions drive wetland production. In 2000–2011, we conducted annual surveys of Spartina alterniflora biomass in tidal marshes at nine sites in and around the Altamaha river estuary on the coast of Georgia, USA. End of the year live biomass was assessed in the creekbank and midmarsh zones to estimate annual net primary production (ANPP). River discharge was the most important driver of S. alterniflora ANPP, especially in creekbank vegetation. Increased river discharge reduces water column salinity, and this was most likely the proximate driver of increased production. In the midmarsh zone, the patterns were less distinct, although river discharge was again the best predictor, but maximum temperature had similar predictive ability. In contrast to results from terrestrial grasslands, we found no consistent evidence for a sharply delimited critical period for any climate driver in the tidal marsh, which indicates that plant growth was responsive to abiotic drivers at any time during the growing season. Results were broadly consistent across multiple sites within a geographic region. Our results differ from previous analyses of production in S. alterniflora marshes, which either identified oceanic drivers of S. alterniflora production or were unable to identify any drivers, likely because the low-latitude sites we studied were hotter and more affected by river discharge than those in previous studies.


smooth cordgrass tidal marsh estuary ANPP river discharge sea level 



We thank NSF (OCE06-20959) for funding. Hongyu Guo, Alana Lynes, Amy Kunza, Chuan-Kai Ho, Huy Vu, Jacob Shalack, Daniel Saucedo, Ken Helm, Jane Buck, and many others helped with this project. We thank Christine Angelini, Adrian Burd, Matt Kirwan, Jim Morris, Joan Sheldon, Marylin C. Ball, and two anonymous reviewers for comments on the manuscript, Joseph Craine for assistance with the critical climate period analysis, and Adam Sapp for the Altamaha River estuary figure. This is Contribution Number 1035 of the University of Georgia Marine Institute. This work is a contribution of the Georgia Coastal Ecosystems Long-Term Ecological Research program.

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  1. Brown CE, Pezeshki SR, DeLaune RD. 2006. The effects of salinity and soil drying on nutrient uptake and growth of Spartina alterniflora in a simulated tidal system. Environ Exp Bot 58:140–8.CrossRefGoogle Scholar
  2. Callahan JT. 1984. Long-term ecological research. Bioscience 34:363–7.CrossRefGoogle Scholar
  3. Callaway RM, Brooker RW, Choler P, Kikvidze Z, Lortie CJ, Michalet R, Paolini L, Pugnaire FI, Newingham B, Aschehoug ET, Armas C, Kikodze D, Cook BJ. 2002. Positive interactions among alpine plants increase with stress. Nature 417:844–8.PubMedCrossRefGoogle Scholar
  4. Christensen JH, Hewitson B, Busuioc A, Chen A, Gao X, Held I, Jones R, Kolli RK, Kwon WT, Laprise R, Magaña Rueda R, Mearns L, Menéndez CG, Räisänen J, Rinke A, Sarr A, Whetton P. 2007. Regional climate projections. In: Solomon S, Qin D, Manning M, Chen Z, Marquis M, Averyt KB, Tignor M, Miller HL, 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. Cambridge: Cambridge University Press. Google Scholar
  5. Crain CM, Silliman BR, Bertness SL, Bertness MD. 2004. Physical and biotic drivers of plant distribution across estuarine salinity gradients. Ecology 85:2539–49.CrossRefGoogle Scholar
  6. Craine JM. 2013. The importance of precipitation timing for grassland productivity. Plant Ecol 214:1085–9.CrossRefGoogle Scholar
  7. Craine JM, Towne EG, Joern A, Hamilton RG. 2009. Consequences of climate variability for the performance of bison in tallgrass prairie. Glob Chang Biol 15:772–9.CrossRefGoogle Scholar
  8. Craine JM, Towne EG, Nippert JB. 2010. Climate controls on grass culm production over a quarter century in a tallgrass prairie. Ecology 91:2132–40.PubMedCrossRefGoogle Scholar
  9. Craine JM, Nippert JB, Elmore AJ, Skibbe AM, Hutchinson SL, Brunsell NA. 2012. Timing of climate variability and grassland productivity. Proc Natl Acad Sci USA 109:3401–5.PubMedCentralPubMedCrossRefGoogle Scholar
  10. Doney SC, Ruckelshaus M, Duffy JE, Barry JP, Chan F, English CA, Galindo HM, Grebmeier JM, Hollowed AB, Knowlton N, Polovina J, Rabalais NN, Sydeman WJ, Talley LD. 2012. Climate change impacts on marine ecosystems. In: Carlson CA, Giovannoni SJ, Eds. Annual review of marine science, Vol. 4. Palo Alto: Annual Reviews. p 11–37.Google Scholar
  11. Falkowski P, Scholes RJ, Boyle E, Canadell J, Canfield D, Elser J, Gruber N, Hibbard K, Hogberg P, Linder S, Mackenzie FT, Moore B, Pedersen T, Rosenthal Y, Seitzinger S, Smetacek V, Steffen W. 2000. The global carbon cycle: a test of our knowledge of earth as a system. Science 290:291–6.PubMedCrossRefGoogle Scholar
  12. Frich P, Alexander LV, Della-Marta P, Gleason B, Haylock M, Tank AMGK, Peterson T. 2002. Observed coherent changes in climatic extremes during the second half of the twentieth century. Clim Res 19:193–212.CrossRefGoogle Scholar
  13. Giurgevich JR, Dunn EL. 1979. Seasonal patterns of CO2 and water-vapor exchange of the tall and short height forms of Spartina alterniflora Loisel in a Georgia salt-marsh. Oecologia 43:139–56.CrossRefGoogle Scholar
  14. Gruner DS, Smith JE, Seabloom EW, Sandin SA, Ngai JT, Hillebrand H, Harpole WS, Elser JJ, Cleland EE, Bracken MES, Borer ET, Bolker BM. 2008. A cross-system synthesis of consumer and nutrient resource control on producer biomass. Ecol Lett 11:740–55.PubMedCrossRefGoogle Scholar
  15. Guo HY, Pennings SC. 2012. Mechanisms mediating plant distributions across estuarine landscapes in a low-latitude tidal estuary. Ecology 93:90–100.PubMedCrossRefGoogle Scholar
  16. Hsu JS, Powell J, Adler PB. 2012. Sensitivity of mean annual primary production to precipitation. Global Chang Biol 18:2246–55.CrossRefGoogle Scholar
  17. Huxman TE, Smith MD, Fay PA, Knapp AK, Shaw MR, Loik ME, Smith SD, Tissue DT, Zak JC, Weltzin JF, Pockman WT, Sala OE, Haddad BM, Harte J, Koch GW, Schwinning S, Small EE, Williams DG. 2004. Convergence across biomes to a common rain-use efficiency. Nature 429:651–4.PubMedCrossRefGoogle Scholar
  18. Kirwan ML, Guntenspergen GR, Morris JT. 2009. Latitudinal trends in Spartina alterniflora productivity and the response of coastal marshes to global change. Glob Chang Biol 15:1982–9.CrossRefGoogle Scholar
  19. Kirwan ML, Christian RR, Blum LK, Brinson MM. 2011. On the relationship between sea level and Spartina alterniflora production. Ecosystems 15:140–7.CrossRefGoogle Scholar
  20. LaMondia JA, Elmer WH. 2007. Occurrence of meloidogyne spartinae on Spartina alterniflora in Connecticut and Massachusetts. Plant Dis 91:327.CrossRefGoogle Scholar
  21. Lindenmayer DB, Likens GE, Andersen A, Bowman D, Bull CM, Burns E, Dickman CR, Hoffmann AA, Keith DA, Liddell MJ, Lowe AJ, Metcalfe DJ, Phinn SR, Russell-Smith J, Thurgate N, Wardle GM. 2012. Value of long-term ecological studies. Austral Ecol 37:745–57.CrossRefGoogle Scholar
  22. Linthurst RA, Seneca ED. 1981. Aeration, nitrogen and salinity as determinants of Spartina alterniflora Loisel. Growth response. Estuaries 4:53–63.CrossRefGoogle Scholar
  23. Mcleod E, Chmura GL, Bouillon S, Salm R, Bjork M, Duarte CM, Lovelock CE, Schlesinger WH, Silliman BR. 2011. A blueprint for blue carbon: toward an improved understanding of the role of vegetated coastal habitats in sequestering CO2. Front Ecol Environ 9:552–60.CrossRefGoogle Scholar
  24. Mendelssohn IA, Morris JT. 2000. Eco-physiological controls on the productivity of Spartina alterniflora Loisel. In: Weinstein MP, Kreeger DA, Eds. Concepts and controversies in tidal marsh ecology. Dordrecht: Kluwer. p 59–80.Google Scholar
  25. Menge BA. 2003. The overriding importance of environmental context in determining the outcome of species-deletion experiments. In: Kareiva P, Levin SA, Eds. The importance of species: perspectives on expendability and triage. Princeton: Princeton University Press. p 16–43.Google Scholar
  26. Morris JT, Kjerfve B, Dean JM. 1990. Dependence of estuarine productivity on anomalies in mean sea-level. Limnol Oceanogr 35:926–30.CrossRefGoogle Scholar
  27. Odum WE. 1988. Comparative ecology of tidal freshwater and salt marshes. Annu Rev Ecol Syst 19:147–76.CrossRefGoogle Scholar
  28. Pearcy RW, Ustin SL. 1984. Effects of salinity on growth and photosynthesis of three California tidal marsh species. Oecologia 62:68–73.CrossRefGoogle Scholar
  29. Pennings SC, Bertness MD. 2001. Salt marsh communities. In: Bertness MD, Gaines SD, Hay ME, Eds. Marine community ecology. Sunderland: Sinauer Associates. p 289–316.Google Scholar
  30. Pennings SC, Grant MB, Bertness MD. 2005. Plant zonation in low-latitude salt marshes: disentangling the roles of flooding, salinity and competition. J Ecol 93:159–67.CrossRefGoogle Scholar
  31. Pennings SC, Alber M, Alexander C, Booth M, Burd A, Cai W-J, Craft C, DePratter CB, Di Iorio D, Hopkinson CS, Joye S, Meile C, Moore WS, Silliman BR, Thompson VD, Wares JP. 2012. South Atlantic tidal wetlands. In: Baldwin A, Batzer D, Eds. Wetland habitats of North America: ecology and conservation concerns. Berkeley: University of California Press. p 45–61.Google Scholar
  32. Power ME. 1992. Top-down and bottom-up forces in food webs—do plants have primacy. Ecology 73:733–46.CrossRefGoogle Scholar
  33. Qian SS, Cuffney TF, Alameddine I, McMahon G, Reckhow KH. 2010. On the application of multilevel modeling in environmental and ecological studies. Ecology 91:355–61.PubMedCrossRefGoogle Scholar
  34. Rasbash J, Steele F, Browne WJ, Goldstein H. 2012. A user’s guide to MLwiN, v2.26, Centre for Multilevel Modelling, University of Bristol.Google Scholar
  35. Rosenzweig M. 1968. Net primary productivity of terrestrial communities—prediction from climatological data. Am Nat 102:67–74.CrossRefGoogle Scholar
  36. Sheldon JE, Burd A. 2013. Alternating effects of climate drivers on river discharge to coastal Georgia, USA. Estuaries Coasts. doi: 10.1007/s12237-12013-19715-z.Google Scholar
  37. Teal JM, Howes BL. 1996. Interannual variability of a salt-marsh ecosystem. Limnol Oceanogr 41:802–9.CrossRefGoogle Scholar
  38. Touchette BW, Smith GA, Rhodes KL, Poole M. 2009. Tolerance and avoidance: two contrasting physiological responses to salt stress in mature marsh halophytes Juncus roemerianus Scheele and Spartina alterniflora Loisel. J Exp Marine Biol Ecol 380:106–12.CrossRefGoogle Scholar
  39. Turner RE. 1976. Geographic variations in salt marsh macrophyte production: a review. Contributions Marine Sci 20:47–68.Google Scholar
  40. Valladares F, Gianoli E, Gomez JM. 2007. Ecological limits to plant phenotypic plasticity. New Phytol 176:749–63.PubMedCrossRefGoogle Scholar
  41. Weston NB, Hollibaugh J, Sandow J, Joye S. 2003. Nutrients and dissolved organic matter in the Altamaha River and loading to the coastal zone. In: Hatcher KJ, Ed. 2003 Georgia water resource conference. Athens (GA): Institute of Ecology, University of Georgia. Google Scholar
  42. White SN, Alber M. 2009. Drought-associated shifts in Spartina alterniflora and S. cynosuroides in the Altamaha River estuary. Wetlands 29:215–24.CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media New York 2013

Authors and Affiliations

  1. 1.Department of Biology and BiochemistryUniversity of HoustonHoustonUSA

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