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Quantifying the Spatial Extent and Distribution of Estuarine Habitat with Changing Salinity: Do Positive, Neutral, and Negative Estuaries Respond Differently to Salinity Variation?

  • Zachary OlsenEmail author
Article
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Abstract

Salinity is known to be a driving factor in defining habitat suitability for estuarine-dependent species. With increased demands placed on freshwater resources and extreme drought conditions becoming prevalent for many coastal regions, it is important to understand how these changes may impact the extent and distribution of suitable habitat for species that rely on the passage of freshwater to the coastal region. Here, habitat suitability models were constructed for three estuarine species (Farfantepenaeus aztecus, Micropogonias undulatus, and Cynoscion nebulosus) across three estuary classes (based on freshwater balance: positive, neutral, and negative estuaries) and for three simulated salinity regimes (low, moderate, and high salinities). The impact of changing salinity regimes on habitat suitability varied most notably at the species level but also varied significantly across the three estuary types examined. Of the three species examined, F. aztecus showed relatively little salinity-related variation in habitat extent or distribution. Variation in M. undulatus and C. nebulosus salinity impact was especially clear in relatively neutral and positive estuaries where distribution of habitat within the estuary under the varying salinity regimes followed intra-estuarine salinity gradients to match salinity preference for each species and typically resulted in a gradual shrinking of highly suitable habitat area into the far upper estuary as salinities increased. While salinity was not found to be the only or even the most impactful of variables regarding habitat suitability, model outputs show that at the estuary scale, salinity can have substantial influence on the spatial extent and distribution of suitable habitat and this influence is not constant across estuary types. Modeling exercises such as this are the first step in communicating such impacts and focusing the vigilance of resource managers towards vulnerable species and habitat regions.

Keywords

Habitat suitability Freshwater inflow Climate change Estuary Predictive modeling 

Notes

Acknowledgements

I would like to thank the many TPWD-Coastal Fisheries Division staff members who came before me and had the foresight to implement and maintain one of the most comprehensive and longest running fisheries-independent monitoring programs in the world. Without such long-term monitoring, analyses such as this would never be possible. I would like to thank M. Fisher, G. Sutton, and several anonymous reviewers who provided useful discussion and feedback that greatly improved the quality of this manuscript. Finally, I would like to thank my graduate committee at Texas A&M University-Corpus Christi: G. Stunz, J. Tolan, J. Pollack, and P. Montagna.

Supplementary material

12237_2019_528_MOESM1_ESM.pdf (2.3 mb)
ESM 1 (PDF 2340 kb)
12237_2019_528_MOESM2_ESM.txt (33 kb)
ESM 2 (TXT 33 kb)

References

  1. Alber, M. 2002. A conceptual model of estuarine freshwater inflow management. Estuaries 25 (6): 1246–1261.CrossRefGoogle Scholar
  2. Anderson, J., Z. Olsen, T. Wagner, G. Sutton, C. Gelpi, and D. Topping. 2017. Environmental drivers of the spatial and temporal distribution of spawning female blue crabs, Callinectes sapidus, in the western Gulf of Mexico. North American Journal of Fisheries Management 37 (4): 920–934.CrossRefGoogle Scholar
  3. Beck, M.W., K.L. Heck Jr., K.W. Able, D.L. Childers, D.B. Eggleston, B.M. Gillanders, B. Halpern, C.G. Hays, K. Hoshino, T.J. Minello, R.J. Orth, P.F. Sheridan, and M.P. Weinstein. 2001. The identification, conservation, and management of estuarine and marine nurseries of fish and invertebrates. BioScience 51 (8): 633–641.CrossRefGoogle Scholar
  4. Bushon, A. 2006. Recruitment, spatial distribution, and fine-scale movement patterns of estuarine dependent species through tidal inlets in Texas. Master’s Thesis. Texas A&M University- Corpus Christi.Google Scholar
  5. Dance, M.A., and J.R. Rooker. 2016. Stage-specific variability in habitat associations of juvenile red drum across a latitudinal gradient. Marine Ecology Progress Series 557: 221–235.CrossRefGoogle Scholar
  6. de Mutsert, K., K. Lewis, S. Milroy, J. Buszowski, and J. Steenbeek. 2017. Using ecosystem modeling to evaluate trade-offs in coastal management: Effects of large-scale river divisions on fish and fisheries. Ecological Modelling 360: 14–26.CrossRefGoogle Scholar
  7. Doerr, J.C., H. Liu, and T.J. Minello. 2016. Salinity selection by juvenile brown shrimp (Farfantepenaeus aztecus) and white shrimp (Litopenaeus setiferus) in a gradient tank. Estuaries and Coasts 39 (3): 829–838.CrossRefGoogle Scholar
  8. Dore, M.H.I. 2005. Climate change and changes in global precipitation patterns: What do we know. Environmental International 31 (8): 1167–1181.CrossRefGoogle Scholar
  9. Elith, J., J.R. Leathwick, and T. Hastie. 2008. A working guide to boosted regression trees. Journal of Animal Ecology 77 (4): 802–813.CrossRefGoogle Scholar
  10. Elton, C. 1927. Animal Ecology. London: Sedgwick and Jackson.Google Scholar
  11. Finkbeiner, M., J.D. Simons, C. Robinson, J. Wood, A. Summers, and C. Lopez. 2009. Atlas of shallow-water benthic habitats of Coastal Texas: Espiritu Santo Bay to Lower Laguna Madre, 2004 and 2007. Charleston: NOAA Coastal Services Center.Google Scholar
  12. Friedman, J.H., and J.J. Meulman. 2003. Multiple additive regression trees with applications in epidemiology. Statistics in Medicine 22 (9): 1365–1381.CrossRefGoogle Scholar
  13. Froeschke, J.T., and B.F. Froeschke. 2011. Spatio-temporal predictive model based on environmental factors for juvenile spotted seatrout in Texas estuaries using boosted regression trees. Fisheries Research 111 (3): 131–138.CrossRefGoogle Scholar
  14. Froeschke, J.T., and B.F. Froeschke. 2016. Two-stage boosted regression tree model to characterize southern flounder distribution in Texas estuaries at varying population sizes. Marine and Coastal Fisheries 8 (1): 222–231.CrossRefGoogle Scholar
  15. Froeschke, B.F., M.M. Reese Robillard, and G.W. Stunz. 2016. Spatial biodiversity patterns of fish within the Aransas Bay complex, Texas. Gulf and Caribbean Research 27: 21–32.CrossRefGoogle Scholar
  16. Grinnell, J. 1917. The niche-relationship of the California thrasher. Auk 34 (4): 427–433.CrossRefGoogle Scholar
  17. Gunter, G. 1961. Some relations of estuarine organisms to salinity. Limnology and Oceanography 6 (2): 182–190.CrossRefGoogle Scholar
  18. Holt, G.J., and S.A. Holt. 2002. Effects of variable salinity on reproductive and early life stages of spotted seatrout. In Biology of the Spotted Seatrout, eds. S.A. Bortone. CRC Press.Google Scholar
  19. Hutchinson, G.E. 1957. Concluding remarks. Cold Spring Harbor Symposium on Quantitative Biology 22 (0): 415–427.CrossRefGoogle Scholar
  20. Kimmerer, W.J. 2002. Physical, biological, and management responses to variable freshwater flow into the San Francisco estuary. Estuaries 25 (6): 1275–1290.CrossRefGoogle Scholar
  21. Knudby, A., A. Brenning, and E. LeDrew. 2010. New approaches to modelling fish-habitat relationships. Ecological Modelling 221 (3): 503–511.CrossRefGoogle Scholar
  22. Levin, P.S., and G.W. Stunz. 2005. Habitat triage for exploited fishes: Can we identify essential “essential fish habitat”. Estuarine, Coastal and Shelf Science 64 (1): 70–78.CrossRefGoogle Scholar
  23. Longley, W.L., ed. 1994. Freshwater inflow to Texas bays and estuaries: Ecological relationships and methods for determination of needs. Austin: Texas Water Development Board and Texas Parks and Wildlife Department 386 p.Google Scholar
  24. Martinez-Andrade, F. 2015. Marine resource monitoring operations manual. Austin: Texas Parks and Wildlife Department.Google Scholar
  25. Martinez-Andrade, F., P. Campbell, and B. Fuls. 2005. Trends in relative abundance and size of selected finfishes and shellfishes along the Texas coast: November 1975–December 2003. Austin: Texas Parks and Wildlife Department- Coastal Fisheries Division Management Data Series No. 232.Google Scholar
  26. Mattson, R.A. 2002. A resource-based framework for establishing freshwater inflow requirements for Suwannee River estuary. Estuaries 25 (6): 1333–1342.CrossRefGoogle Scholar
  27. Miglarese, J.V., C.W. McMillian, and M.H. Shealy. 1982. Seasonal abundance of Atlantic croaker (Migropogonias undulatus) in relation to bottom salinity and temperature in South Carolina estuaries. Estuaries 5 (3): 216–223.CrossRefGoogle Scholar
  28. Montagna, P.A., and R.D. Kalke. 1995. Ecology of infaunal Mollusca in South Texas estuaries. American Malacological Bulletin 11: 163–175.Google Scholar
  29. Montagna, P.A., R.D. Kalke, and Christine Ritter. 2002. Effects of restored freshwater inflow on macrofauna and meiofauna in Upper Rincon Bayou, Texas, USA. Estuaries 25 (6): 1436–1447.CrossRefGoogle Scholar
  30. Montagna, P.A., E.D. Estevez, T.A. Palmer, and M.S. Flannery. 2008. Meta-analysis of the relationship between salinity and molluscs in tidal river estuaries of Southwest Florida, USA. American Malacological Journal 24 (1): 101–115.CrossRefGoogle Scholar
  31. Montagna, P.A., T.A. Palmer, and J. Beseres Pollack. 2013. Hydrological changes and estuarine dynamics. New York: Springer.CrossRefGoogle Scholar
  32. Neahr, T.A., G.W. Stunz, and T.J. Minello. 2010. Habitat use patterns of newly settled spotted seatrout in estuaries of the North-Western Gulf of Mexico. Fisheries Management and Ecology 17 (5): 404–413.CrossRefGoogle Scholar
  33. O’Neill, B.C., D. Balk, M. Brickman, and M. Ezra. 2001. A guide to global population projections. Demographic Research 4: 203–288.CrossRefGoogle Scholar
  34. Olsen, Z. 2014. Potential impact of extreme salinity and surface temperature events on population dynamics of black drum, Pogonias cromis, in the Upper Laguna Madre, Texas. Gulf of Mexico Science 2014: 60–68.Google Scholar
  35. Olsen, Z., D. McDonald, and B. Bumguardner. 2018. Intraspecific variation in life history strategies and implications for management: A case study of black drum (Pogonias cromis) in Baffin Bay, Texas USA. Fisheries Research 207: 55–62.CrossRefGoogle Scholar
  36. Parker, J.C. 1971. The biology of the Spot, Leiostomus xanthurus Lacepede, and Atlantic Croaker, Micropogon undulatus (Linnaeus) in two Gulf of Mexico nursery areas. PhD Thesis, Texas A&M University.Google Scholar
  37. Pearce, J., and S. Ferrier. 2000. Evaluating the predictive performance of habitat models developed using logistic regression. Ecological Modelling 133 (3): 225–245.CrossRefGoogle Scholar
  38. Peterson, M.S. 2003. A conceptual view of environment-habitat-production linkages in tidal river estuaries. Reviews in Fisheries Science 11 (4): 291–313.CrossRefGoogle Scholar
  39. Peterson, M.S., B.H. Comyns, C.F. Rakocinski, and G.L. Fulling. 1999. Does salinity affect somatic growth in early juvenile Atlantic croaker, Micropogonias undulatus (L.)? Journal of Experimental Marine Biology and Ecology 238 (2): 199–207.CrossRefGoogle Scholar
  40. Petrik, R., P.S. Levin, G.W. Stunz, and J. Malone. 1999. Recruitment of Atlantic croaker, Micropogonias undulatus: Do postsettlement processes disrupt or reinforce initial patterns of settlement? Fishery Bulletin 97: 954–961.Google Scholar
  41. Pritchard, D.W. 1952. Estuarine hydrography. Advances in Geophysics 1: 243–280.CrossRefGoogle Scholar
  42. R Core Team. 2014. R: A language and environment for statistical computing. Vienna: R Foundation for Statistical Computing http://www.R-project.org.Google Scholar
  43. Reese, M.M., G.W. Stunz, and A.M. Bushon. 2008. Recruitment of estuarine-dependent nekton through a new tidal inlet: The opening of Packery Channel in Corpus Christi, TX, USA. Estuaries and Coasts 31 (6): 1143–1157.CrossRefGoogle Scholar
  44. Ridgeway, G. 2013. gbm: Generalized Boosted Regression Models. R package version 2.1. http://CRAN.R-project.org/package=gbm.
  45. Rooker, J.R., S.A. Holt, G.J. Holt, and L.A. Fuiman. 1999. Spatial and temporal variability in growth, mortality, and recruitment potential of postsettlement red drum, Sciaenops ocellatus, in a subtropical estuary. Fishery Bulletin 97: 581–590.Google Scholar
  46. Tolan, J.M. 2007. El Niño-southern oscillation impacts translated to the watershed scale: Estuarine salinity patterns along the Texas gulf coast, 1982 to 2004. Estuarine, Coastal, and Shelf Science 72 (1-2): 247–260.CrossRefGoogle Scholar
  47. Tolan, J.M. 2013. Estuarine Fisheries Community-Level Response to Freshwater Inflows. In Water Resources Planning, Development, and Management. ed. Ralph Wurbs. IntechOpen.  https://doi.org/10.5772/52313.
  48. Tunnell, J.W., Jr., and F.W. Judd, eds. 2002. The Laguna Madre of Texas and the Tamaulipas. College Station: Texas A&M University Press.Google Scholar
  49. Van Diggelen, A.D., and P.A. Montagna. 2016. Is salinity variability a benthic disturbance in estuaries? Estuaries and Coasts 39 (4): 967–980.CrossRefGoogle Scholar

Copyright information

© Coastal and Estuarine Research Federation 2019

Authors and Affiliations

  1. 1.Texas Parks and Wildlife Department–Coastal Fisheries DivisionCorpus ChristiUSA

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