Recovery of Benthic Microalgal Biomass and Community Structure Following Beach Renourishment at Folly Beach, South Carolina
One method of preserving beaches against the effects of erosion and sea level rise is beach renourishment. While there have been many studies assessing the impact of renourishment on macrofauna, few studies have looked at its effects on microbes. Benthic microalgae (BMA) are important primary producers, representing the basis of nearshore food webs. BMA also secrete extracellular polymeric substances (EPS), which bind sediment and thus help prevent erosion. The objective of this study was to monitor recovery of BMA in terms of relative biomass (estimated as sediment chlorophyll a) and community structure (characterized using high-throughput DNA sequencing) following renourishment of Folly Beach, SC in 2014. We also examined the relationships among biomass, EPS, and erosion. Sediment samples were collected intermittently (n = 9) from two renourished and two control sites within three intertidal zones (high, mid, low) from June 2014 to January 2015. Biomass recovered in sequence from low to high intertidal, corresponding to when the artificially-raised beach once again experienced regular tidal inundation (between 93 and 169 days post-renourishment). Alpha diversity metrics misleadingly indicated recovery around this same time within the high intertidal, but compositional changes through time were unlike those seen in control samples, and these communities had yet to recover at ~ 7 months post-renourishment. Renourishment therefore appears to impact BMA communities via artificial elevation of the beach face. While there were relationships between chl a, EPS, and erosion, BMA most likely play a minimal role in sediment stabilization in high-energy environments like Folly Beach.
KeywordsBenthic microalgae Microphytobenthos Beach nourishment High-throughput sequencing South Carolina Erosion Extracellular polymeric substances
We thank the Great Lakes Dredge and Dock Company and the US Army Corps of Engineers for providing access to field sites. We also thank Jennifer Ness at the National Institute of Standards and Technology’s Material Measurement Laboratory for providing training on the Malvern Mastersizer 3000 for particle size analyses and the Hollings Marine Laboratory for access to the facility. Morgan Larimer and Caroline Cooper provided both laboratory and field assistance. Kevin Spanik, Stacy Krueger-Hadfield, Meredith Smylie, Nathan Butcher, and Paige Bippus also provided field assistance. This is Grice Marine Laboratory publication 511.
This work was funded by a Summer Research with Faculty (SURF) grant at The College of Charleston, Charleston, SC. We would also like to acknowledge the Proteogenomics Facility supported by the National Institutes of Health Grants (P30GM103342, P20GM103499) and MUSC’s Office of the Vice President for Research.
Compliance with Ethical Standards
Conflict of Interest
The authors declare that they have no conflict of interest.
- Caporaso, J.G., J. Kuczynski, J. Stombaugh, K. Bittinger, F.D. Bushman, E.K. Costello, N. Fierer, A.G. Pena, J.K. Goodrich, J.I. Gordon, G.A. Huttley, S.T. Kelley, D. Knights, J.E. Koenig, R.E. Ley, C.A. Lozupone, D. McDonald, B.D. Muegge, M. Pirrung, J. Reeder, J.R. Sevinsky, P.J. Turnbaugh, W.A. Walters, J. Widmann, T. Yatsunenko, J. Zaneveld, and R. Knight. 2010a. QIIME allows analysis of high-throughput community sequencing data. Nature Methods 7 (5): 335–336.CrossRefGoogle Scholar
- Chao, A. 1984. Non-parametric estimation of the number of classes in a population. Scandinavian Journal of Statistics 11: 265–270.Google Scholar
- City of Folly Beach. 2015. 2015 local comprehensive beach management plan. 131 pp. https://www.scdhec.gov/sites/default/files/docs/HomeAndEnvironment/Docs/State-ApprovedLCBMP.pdf. Accessed 21 Sept 2018.
- Clarke, K.R., and R.N. Gorley. 2001. PRIMER v5: User manual/tutorial. Plymouth: PRIMER-E.Google Scholar
- Decho, A.W. 1990. Microbial exopolymer secretions in ocean environments: Their role(s) in food webs and marine processes. Oceanography and Marine Biology: An Annual Review 28: 73–153.Google Scholar
- Levine, N., C. Kaufman, M. Katuna, S. Harris, and M. Colgan. 2009. Folly Beach, South Carolina: An endangered barrier island. In Kelley, J.T., O.H. Pilkey, J.A.G. Cooper, eds., America’s most vulnerable coastal communities: Geological society of america special paper 460, p. 91–110, https://doi.org/10.1130/2009.2460(06).
- Lubarsky, H.V., C. Hubas, M. Chocholek, F. Larson, W. Manz, D.M. Paterson, and S.U. Gerbersdorf. 2010. The stabilization potential of individual and mixed assemblages of natural bacteria and microalgae. PLoS One 5 (11). https://doi.org/10.1371/journal.pone.0013794.
- Luddington, I.A., I. Kaczmarska, and C. Lovejoy. 2012. Distance and character-based evaluation of the V4 region of the 18S rRNA gene for the identification of diatoms (Bacillariophyceae). PLoS One 7 (9). https://doi.org/10.1371/journal.pone.0045664.
- MacIntyre, H.L., R.J. Geider, and D.C. Miller. 1996. Microphytobenthos: The ecological role of the "secret garden" of unvegetated, shallow-water marine habitats. I. Distribution, abundance and primary production. Estuaries and Coasts 19 (2): 186–201.Google Scholar
- Nelson, J.R., J.E. Eckman, C.Y. Robertson, R.L. Marinelli, and R.A. Jahnke. 1999. Benthic microalgal biomass and irradiance at the sea floor on the continental shelf of the South Atlantic Bight: Spatial and temporal variability and storm effects. Continental Shelf Research 19 (4): 477–505.CrossRefGoogle Scholar
- Nilsson, C. 1995. Microbenthic communities with emphasis on algal-nutrient relations. PhD dissertation. Göteborg, Sweden: Göteborg University.Google Scholar
- Price, M.N., P.S. Dehal, and A.P. Arkin. 2010. FastTree 2—Approximately maximum-likelihood trees for large alignments. PLoS One. https://doi.org/10.1371/journal.pone.0009490.
- Sousa, E.C.P.M., and C.J. David. 1996. Daily variation of microphytobenthos photosynthetic pigments in Aparecida Beach-Santos (23° 58′ 48′′ S, 46° 19′ 00′′ W), Sao Paulo, Brazil. Revista Brazileira de Biologia 56: 147–154.Google Scholar
- Speybroeck, J.D., D. Bonte, W. Courtens, T. Gheskiere, P. Grootaert, J. Maelfait, M. Mathys, S. Provoost, K. Sabbe, E.W.M. Stienen, V. van Lancker, M. Vincx, and S. Degraer. 2006. Beach nourishment: An ecologically sound coastal defense alternative? A review. Aquatic Conservation 16 (4): 419–435.CrossRefGoogle Scholar
- Stal, L.J. 2010. Microphytobenthos as a biogeomorphological force in intertidal sediment stabilization. Ecological Engineering 36(2): 236–245.Google Scholar
- Underwood, G.J.C., and D.J. Smith. 1998. Predicting epipelic diatom exopolymer concentrations in intertidal sediments from sediment chlorophyll a. Microbial Ecology 35: 116–125.Google Scholar
- USACE. 2013. Environmental assessment draft, Folly Beach shore protection project and use of outer continental shelf sand, Charleston County, SC. 160 pp. http://www.sac.usace.army.mil/Portals/43/docs/civilworks/nepadocuments/FollyBeachRenourishmentDraftEA2013-withAppendices.pdf. Accessed 21 September 2018.
- Valverde, H.R., A.C. Trembanis, and O.H. Pilkey. 1999. Summary of beach nourishment episodes on the U S. East Coast barrier islands. Journal of Coastal Research 15: 1100–1118.Google Scholar
- Vanelslander, B., A. de Wever, N. van Oostende, P. Kaewnuratchadasorn, P. Vanormelingen, F. Hendrickx, K. Sabbe, and W. Vyverman. 2009. Complementarity effects drive positive diversity effects on biomass production in experimental benthic diatom biofilms. Journal of Ecology 97 (5): 1075–1082.CrossRefGoogle Scholar