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Trends in Oyster Populations in the Northeastern Gulf of Mexico: An Assessment of River Discharge and Fishing Effects over Time and Space

Moore, J. F., Pine, W. E., Frederick, P.C., Beck, S., Moreno, M., Dodrill, M. J., Boone, M., Sturmer, L., Yurek, S.·2020·Marine and Coastal Fisheries
DOI 10.1002/mcf2.10117
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Abstract

Within the Big Bend region of the northeastern Gulf of Mexico, one of the least developed coastlines in the continental USA, intertidal and subtidal populations of eastern oyster Crassostrea virginica (hereafter referred to as “oyster”) are a critical ecosystem and important economic constituent. We assessed trends in intertidal oyster populations, river discharge, and commercial fishing activity in the Suwannee River estuary within the Big Bend region using fisheries-independent data from irregular monitoring efforts and publicly available environmental data. We used generalized linear models to evaluate counts of oysters from line-transect surveys over time and space. We assessed model performance using simulation to understand potential bias and then evaluated whether these counts were related to freshwater inputs from the Suwannee River and commercial oyster fishing effort and landings at different time lags. We found that intertidal oyster counts have declined over time and that most of these declines are found in inshore intertidal oyster bars, which are becoming degraded. We also found a significant relationship between oyster counts and a 1-year lag on mean daily Suwannee River discharge, but including commercial fishery trips or landings did not improve model fit. It is unclear whether declines in intertidal oyster bars are offset by formation of new oyster reefs elsewhere. These results quantify rapid declines in intertidal oyster reefs in a region of coastline with high conservation value that can be used to inform ongoing and proposed restoration projects in the region.

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FIGURE1 Map of the study area, showing locations of sampling sites within localities of major oyster reef complexes. Within each locality, note that transects were placed on reefs representing a gradient from inshore to offshore. For offshore reefs, note the coastwise orientation and linearity of reefs.
FIGURE1 Map of the study area, showing locations of sampling sites within localities of major oyster reef complexes. Within each locality, note that transects were placed on reefs representing a gradient from inshore to offshore. For offshore reefs, note the coastwise orientation and linearity of reefs.CC-BY · From the PDF
FIGURE2 (A) Mean daily discharge by year and (B) associated variance and (C) CV of daily discharge for the Suwannee River measured at USGS Wilcox gauge from October 1941 to December 2018. The red line (locally weighted scatterplot smoothing line) is provided to show general trends in discharge. The blue dashed line is the average mean daily discharge, variance, or CV from 1941 to 2018. Abbreviations are as follows: cf / s = cubic feet per second (1 cf / s = 0.028 m 3 / s).
FIGURE2 (A) Mean daily discharge by year and (B) associated variance and (C) CV of daily discharge for the Suwannee River measured at USGS Wilcox gauge from October 1941 to December 2018. The red line (locally weighted scatterplot smoothing line) is provided to show general trends in discharge. The blue dashed line is the average mean daily discharge, variance, or CV from 1941 to 2018. Abbreviations are as follows: cf / s = cubic feet per second (1 cf / s = 0.028 m 3 / s).CC-BY · From the PDF
FIGURE3 (A) Mean daily discharge by year and (B) associated variance and (C) CV of daily discharge for the Suwannee River measured at USGS Wilcox gauge from January 2010 to December 2018. The red line (locally weighted scatterplot smoothing line) is provided to show general trends in discharge from January 2010 to December 2018. The blue dashed line is the average mean daily discharge, variance, or CV from 1941 to 2018. Abbreviations are as follows: cf / s = cubic feet per second (1 cf / s = 0.028 m 3 / s).
FIGURE3 (A) Mean daily discharge by year and (B) associated variance and (C) CV of daily discharge for the Suwannee River measured at USGS Wilcox gauge from January 2010 to December 2018. The red line (locally weighted scatterplot smoothing line) is provided to show general trends in discharge from January 2010 to December 2018. The blue dashed line is the average mean daily discharge, variance, or CV from 1941 to 2018. Abbreviations are as follows: cf / s = cubic feet per second (1 cf / s = 0.028 m 3 / s).CC-BY · From the PDF
FIGURE4 Graphs of (A) oyster landings (whole meat weight), (B) oyster fi shing trips, and (C) oyster catch per trip (CPUE) for Suwannee Sound, Florida (Levy, Dixie, and Taylor counties), from 1986 to July 2019. Data for 2018 and 2019 are provisional.
FIGURE4 Graphs of (A) oyster landings (whole meat weight), (B) oyster fi shing trips, and (C) oyster catch per trip (CPUE) for Suwannee Sound, Florida (Levy, Dixie, and Taylor counties), from 1986 to July 2019. Data for 2018 and 2019 are provisional.CC-BY · From the PDF
FIGURE5 Histogram of probability density function ( y -axis) of live oysters counted ( x -axis) on intertidal reefs in Suwannee Sound, Florida. The red line represents the predicted density of oyster counts if these data follow a negative binomial distribution.
FIGURE5 Histogram of probability density function ( y -axis) of live oysters counted ( x -axis) on intertidal reefs in Suwannee Sound, Florida. The red line represents the predicted density of oyster counts if these data follow a negative binomial distribution.CC-BY · From the PDF
FIGURE6 Predicted oyster counts using the best- fi t negative binomial model offset by transect length from each locality (CK = Cedar Key, CR = Corrigan ' s Reef, HB = Horseshoe Beach, and LC = Lone Cabbage Reef) based on data from 2010 -2018. Colored lines represent inshore (blue), nearshore (red), and offshore (green) sites within each locality. Shaded regions represent 95% CIs for the predicted values.
FIGURE6 Predicted oyster counts using the best- fi t negative binomial model offset by transect length from each locality (CK = Cedar Key, CR = Corrigan ' s Reef, HB = Horseshoe Beach, and LC = Lone Cabbage Reef) based on data from 2010 -2018. Colored lines represent inshore (blue), nearshore (red), and offshore (green) sites within each locality. Shaded regions represent 95% CIs for the predicted values.CC-BY · From the PDF
FIGURE7 Predicted oyster counts using the best- fi t negative binomial model offset by transect length including mean daily discharge with a 1year lag as a covariate. The shaded region represents the 95% CIs on the predicted values. Abbreviations are as follows: cf / s = cubic feet per second (1 cf / s = 0.028 m 3 / s).
FIGURE7 Predicted oyster counts using the best- fi t negative binomial model offset by transect length including mean daily discharge with a 1year lag as a covariate. The shaded region represents the 95% CIs on the predicted values. Abbreviations are as follows: cf / s = cubic feet per second (1 cf / s = 0.028 m 3 / s).CC-BY · From the PDF

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Citations

Cites

Research works printed but not linked: 62

  1. Alleway, 2015, Loss of an ecological baseline through the eradication of oyster reefs from coastal ecosystems and human memory, Conservation Biology, 29, 795, 10.1111/cobi.12452 · DOI
  2. Beck, 2011, Oyster reefs at risk and recommendations for conservation, restoration, and management, BioScience, 61, 107, 10.1525/bio.2011.61.2.5 · DOI
  3. Beck, 2000, Identification of priority sites for conservation in the northern Gulf of Mexico: an ecoregional plan
  4. Benke, 1990, A perspective on America's vanishing streams, Journal of the North American Benthological Society, 9, 77, 10.2307/1467936 · DOI
  5. Bergquist, 2006, Development of ecosystem indicators for the Suwannee River estuary: oyster reef habitat quality along a salinity gradient, Estuaries and Coasts, 29, 353, 10.1007/BF02784985 · DOI
  6. Bolker, 2009, Generalized linear mixed models: a practical guide for ecology and evolution, Trends in Ecology and Evolution, 24, 127, 10.1016/j.tree.2008.10.008 · DOI · Paper page
  7. Buzan, 2009, Positive relationship between freshwater inflow and oyster abundance in Galveston Bay, Texas, Estuaries and Coasts, 32, 206, 10.1007/s12237-008-9078-z · DOI
  8. Carranza, 2009, Diversity, conservation status and threats to native oysters (Ostreidae) around the Atlantic and Caribbean coasts of South America, Aquatic Conservation: Marine and Freshwater Ecosystems, 19, 344, 10.1002/aqc.993 · DOI
  9. Chatry, 1983, Optimum salinity regime for oyster production on Louisiana's state seed grounds, Contributions in Marine Science, 26, 81
  10. Coen, 2007, Ecosystem services related to oyster restoration, Marine Ecology Progress Series, 341, 303, 10.3354/meps341303 · DOI · Paper page
  11. Farrell, 2005, Technical report: MFL establishment for the lower Suwannee River and estuary, Little Fanning, Fanning, and Manatee Springs
  12. FDACS (Florida Department of Agriculture and Consumer Services), 2019, Shellfish harvesting area maps
  13. Fisch, 2016, A complex relationship between freshwater discharge and oyster fishery catch per unit effort in Apalachicola Bay, Florida: an evaluation from 1960 to 2013, Journal of Shellfish Research, 35, 809, 10.2983/035.035.0409 · DOI
  14. Florida v. Georgia, 2018, 138 S. Ct. 2505 (No. 142) (Supreme Court)
  15. Frederick, 2016, Reversing a rapid decline in oyster reefs: effects of durable substrate on oyster populations, elevations, and aquatic bird community composition, Journal of Shellfish Research, 35, 359, 10.2983/035.035.0210 · DOI · Paper page
  16. FWC (Florida Fish and Wildlife Conservation Commission), 2019, Commercial fisheries landings summaries
  17. Geselbracht, 2007, The Nature Conservancy, Florida Chapter, Final Report
  18. Geselbracht, 2011, Retrospective and prospective model simulations of sea level rise impacts on Gulf of Mexico coastal marshes and forests in Waccasassa Bay, Florida, Climatic Change, 107, 35, 10.1007/s10584-011-0084-y · DOI
  19. Grabowski, 2012, Economic valuation of ecosystem services provided by oyster reefs, BioScience, 62, 900, 10.1525/bio.2012.62.10.10 · DOI · Paper page
  20. Grinnell, 1972, Structure and development of oyster reefs on the Suwannee River delta, Florida. Doctoral dissertation
  21. Grizzle, 2018, Distribution and condition of intertidal eastern oyster (Crassostrea virginica) reefs in Apalachicola Bay Florida based on high-resolution satellite imagery, Journal of Shellfish Research, 37, 1027, 10.2983/035.037.0514 · DOI
  22. Gutiérrez, 2003, Mollusks as ecosystem engineers: the role of shell production in aquatic habitats, Oikos, 101, 79, 10.1034/j.1600-0706.2003.12322.x · DOI
  23. Harley, 2017, Suwannee River flow variability 1550–2005 CE reconstructed from a multispecies tree-ring network, Journal of Hydrology, 544, 438, 10.1016/j.jhydrol.2016.11.020 · DOI
  24. Hine, 1988, Recent geological history and modern sedimentary processes along an incipient, low-energy, epicontinental-sea coastline: northwest Florida, Journal of Sedimentary Petrology, 58, 567
  25. Kaplan, 2016, Freshwater detention by oyster reefs: quantifying a keystone ecosystem service, PLoS ONE, 11, e0167694, 10.1371/journal.pone.0167694 · DOI · Paper page
  26. Kimbro, 2017, Local and regional stressors interact to drive a salinization-induced outbreak of predators on oyster reefs, Ecosphere, 8, e01992, 10.1002/ecs2.1992 · DOI
  27. La Peyre, 2009, Defining optimal freshwater flow for oyster production: effects of freshet rate and magnitude of change and duration on eastern oysters and Perkinsus marinus infection, Estuaries and Coasts, 32, 522, 10.1007/s12237-009-9149-9 · DOI
  28. La Peyre, 2003, Environmental significance of freshets in reducing Perkinsus marinus infection in eastern oysters Crassostrea virginica: potential management applications, Marine Ecology Progress Series, 248, 165, 10.3354/meps248165 · DOI
  29. Locker, 2016, Geology and biology of the “sticky grounds”, shelf-margin carbonate mounds, and mesophotic ecosystem in the eastern Gulf of Mexico, Continental Shelf Research, 125, 71, 10.1016/j.csr.2016.06.015 · DOI
  30. Lowe, 2017, Interactive effects of water temperature and salinity on growth and mortality of eastern oysters, Crassostrea virginica: a meta-analysis using 40 years of monitoring data, Journal of Shellfish Research, 36, 683, 10.2983/035.036.0318 · DOI
  31. Main, 2007, Florida's environment: north central region
  32. Mattson, 2002, A resource-based framework for establishing freshwater inflow requirements for the Suwannee River estuary, Estuaries, 25, 1333, 10.1007/BF02692228 · DOI · Paper page
  33. Miller, 2009, Shellfish face uncertain future in high CO2 world: influence of acidification on oyster larvae calcification and growth in estuaries, PLoS ONE, 4, 10.1371/journal.pone.0005661 · DOI
  34. Montague, 1997, Introduction: the intertidal marshes of Florida's Gulf Coast, 1
  35. Mulholland, 1997, Effects of climate change on freshwater ecosystems of the south-eastern United States and the Gulf Coast of Mexico, Hydrological Processes, 11, 949, 10.1002/(SICI)1099-1085(19970630)11:8<949::AID-HYP513>3.0.CO;2-G · DOI
  36. NOAA (National Oceanographic and Atmospheric Administration), 2019, NOAA tides and currents
  37. NOAA (National Oceanic and Atmospheric Administration), 2019, Commercial fisheries landings
  38. Orlando, 1993, Salinity characteristics of Gulf of Mexico estuaries
  39. Pine, 2015, The curious case of eastern oyster Crassostrea virginica stock status in Apalachicola Bay, Florida, Ecology and Society, 20, art46, 10.5751/ES-07827-200346 · DOI · Paper page
  40. Powell, 1992, Oyster disease and climate change. Are yearly changes in Perkinsus marinus parasitism in oysters (Crassostrea virginica) controlled by climatic cycles in the Gulf of Mexico?, Marine Ecology, 13, 243, 10.1111/j.1439-0485.1992.tb00354.x · DOI
  41. Powell, 2007, Is oyster shell a sustainable estuarine resource?, Journal of Shellfish Research, 26, 181, 10.2983/0730-8000(2007)26[181:IOSASE]2.0.CO;2 · DOI
  42. Puckett, 2016, Metapopulation dynamics guide marine reserve design: importance of connectivity, demographics, and stock enhancement, Ecosphere, 7, 10.1002/ecs2.1322 · DOI
  43. Pusack, 2019, Predation on oysters is inhibited by intense or chronically mild, low salinity events, Limnology and Oceanography, 64, 81, 10.1002/lno.11020 · DOI
  44. R Core Team, 2018, R: a language and environment for statistical computing. R Foundation for Statistical Computing, Vienna
  45. Raabe, 2016, Expansion of tidal marsh in response to sea-level rise: Gulf Coast of Florida, USA, Estuaries and Coasts, 39, 145, 10.1007/s12237-015-9974-y · DOI
  46. Saetta, 2015, Case study and life cycle assessment of a coastal utility facing saltwater intrusion, Journal American Water Works Association, 107, E543, 10.5942/jawwa.2015.107.0148 · DOI
  47. Sassaman, 2017, Keeping pace with rising sea: the first 6 years of the Lower Suwannee Archaeological Survey, Gulf coastal Florida, Journal of Island and Coastal Archaeology, 12, 173, 10.1080/15564894.2016.1163758 · DOI
  48. Seavey, 2011, Decadal changes in oyster reefs in the Big Bend of Florida's Gulf Coast, Ecosphere, 2, 114, 10.1890/ES11-00205.1 · DOI · Paper page
  49. Sehlinger, 2019, Differential effects of temperature and salinity on growth and mortality of oysters (Crassostrea virginica) in Barataria Bay and Breton Sound, Louisiana. Journal of Shellfish Research, 38, 317, 10.2983/035.038.0212 · DOI
  50. Southwick Associates, 2015, Demographic, economic, and growth initiative analysis: Big Bend region of Florida
  51. Suwannee River Water Management District, 2019, Suwannee River minimum flows and levels
  52. Swain, 2016, Applying downscaled global climate model data to a groundwater model of the Suwannee River basin, Florida, USA, American Journal of Climate Change, 5, 526, 10.4236/ajcc.2016.54037 · DOI
  53. Turner, 2006, Will lowering estuarine salinity increase Gulf of Mexico oyster landings?, Estuaries and Coasts, 29, 345, 10.1007/BF02784984 · DOI
  54. Venables, 2002, Modern applied statistics with S, 10.1007/978-0-387-21706-2 · DOI
  55. Ward, 2005, Rivers of North America
  56. Wilberg, 2011, Overfishing, disease, habitat loss, and potential extirpation of oysters in upper Chesapeake Bay, Marine Ecology Progress Series, 436, 131, 10.3354/meps09161 · DOI
  57. Wilberg, 2013, Sustainable exploitation and management of autogenic ecosystem engineers: application to oysters in Chesapeake Bay, Ecological Applications, 23, 766, 10.1890/12-0563.1 · DOI
  58. Windle, 2019, Rapid and accurate monitoring of intertidal oyster reef habitat using unoccupied aircraft systems and structure from motion, Remote Sensing, 11, 2394, 10.3390/rs11202394 · DOI
  59. Wright, 2005, The effect of sea-level and climate change on the development of a mixed siliciclastic carbonate, deltaic coastline: Suwannee River, Florida, USA, Journal of Sedimentary Research, 75, 621, 10.2110/jsr.2005.051 · DOI
  60. Zu Ermgassen, 2012, Historical ecology with real numbers: past and present extent and biomass of an imperiled estuarine habitat, Proceedings of the Royal Society B: Biological Sciences, 279, 3393, 10.1098/rspb.2012.0313 · DOI
  61. Zuur, 2013, A beginner's guide to GLM and GLMM with R
  62. Zuur, 2009, Mixed effect models and extensions in ecology with, 10.1007/978-0-387-87458-6 · DOI · Paper page

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Metadata

Authors
Moore, J. F., Pine, W. E., Frederick, P. C., Beck, S., Moreno, M., Dodrill, M. J., Boone, M., Sturmer, L., & Yurek, S.
Affiliations
  • Department of Wildlife Ecology and Conservation, University of Florida, 110 Newins-Ziegler Hall, Gainesville, Florida, 32611, USA
  • U.S. Geological Survey, Western Fisheries Research Center, Columbia River Reserach Laboratory, 5501A Cook-Underwood Road, Cook, Washington, 98605, USA
  • Porzana Solutions, Marquette Heights, Illinois, 61554, USA
  • University of Florida Extension, Senator George Kirkpatrick Marine Lab, 11350 Southwest 153rd Court, Cedar Key, Florida, 32625, USA
  • U.S. Geological Survey, Wetland and Aquatic Research Center, 7920 Northwest 71st Street, Gainesville, Florida, 32653, USA
ORCID
Venue
Marine and Coastal Fisheries
Publisher
Oxford University Press (OUP)
Published
2020-05-30
Volume
12
Issue
3
Pages
191-204
ISSN
1942-5120
DOI
10.1002/mcf2.10117
Cited by
29
References
3
Language
en
Licence

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