Open Access
How to translate text using browser tools
1 July 2008 Long-Term Trawl Monitoring of White Shrimp, Litopenaeus setiferus (Linnaeus), Stocks within the ACE Basin National Estuarine Research Reserve, South Carolina
Lawrence DeLancey, Elizabeth Wenner, James Jenkins
Author Affiliations +

Long-term trawl samples for white shrimp, Litopenaeus setiferus, collected within the Ashepoo, Combahee, Edisto Basin National Estuarine Research Reserve and adjacent waters were analyzed for trends in relative abundance and life history patterns. Milder winters are thought to have contributed to high population levels of white shrimp here, as seen along the rest of the southeastern coast of the United States. In addition to winter water temperature, regression analysis indicated a significant increase in salinity over time in the reserve and a significant relationship between percent saturation of dissolved oxygen and shrimp abundance in the summer. Relatively larger shrimp were collected in the spring and at open water locations in St. Helena Sound, reflective of normal growth and migration. Such baseline data should prove valuable for assessing future sustainability of shrimp stocks, especially if recent climatic trends of drought occur in the future.


The most valuable commercial fishery in the southeastern United States is the harvest of penaeid shrimp. In South Carolina, this fishery is dominated by the white shrimp, Litopenaeus setiferus (Linnaeus), with combined commercial and recreational landings usually exceeding 1.8 million kg/y. These shrimp are most abundant in areas with extensive estuarine marshes, such as those along the South Carolina coast (Williams, 1955). After adult spawning in the spring, white shrimp are recruited as postlarvae to the estuaries and sounds of South Carolina in late spring and early summer, growing rapidly to juvenile and subadult stages in estuarine nursery areas (Bearden, 1961; McKenzie, 1981). Postlarvae seek habitats in shallow tidal creeks with muddy/sand substrate and plentiful organic debris. Juveniles prefer oligohaline and mesohaline areas but may be found along the entire estuarine salinity gradient (Wenner and Beatty, 1993). Shrimp remain in these nursery habitats until late summer, when they begin to move into larger creeks and rivers in preparation for offshore migration (Lindner and Anderson, 1956; Weymouth, Lindner, and Anderson, 1933). During this migration, they move progressively down the estuary into more saline waters. In mild winters, white shrimp can overwinter in deep, high-salinity areas, but their survival is dependent on temperature minima being >6 °C (Farmer, Whitaker, and Chipley, 1978).

Besides winter water temperature, the annual abundance of shrimp is also closely related to physical factors such as the amount of rainfall and meteorological events that influence recruitment to nursery areas (Lam et al., 1989). Drastic changes in environmental conditions can negatively impact white shrimp recruitment and survival. In the past, a serious threat to populations of estuarine organisms has been the loss of nursery areas due to filling, dredging, and draining of critical marsh habitat (Lindall and Saloman, 1977). More recently, escalating land use changes in upland areas adjacent to marshes have altered levels of freshwater runoff and created greater salinity variations that affect habitat suitability for white shrimp (Holland et al., 1997). Sampling within the Ashepoo-Combahee-Edisto (ACE) Basin National Estuarine Research Reserve (NERR) provides an opportunity to assess the shrimp resource within an area that has not been severely impacted by urban land use changes and major anthropogenic influences.

The shrimp fishery has been important historically in the ACE Basin region. The white shrimp resource in South Carolina waters is routinely monitored and its harvest regulated by the South Carolina Department of Natural Resources (SCDNR). Such established long-term surveys provide a baseline of information that has the potential to enhance our knowledge of factors that influence production within estuarine systems. Previous studies have emphasized aspects of the shrimp trawling fishery, including composition of by-catch, sea turtle excluder device testing, timing of shrimp migration, and maturation of shrimp before trawl season openings (DeLancey et al., 2005; Lunz, 1955; Wenner, S.C. Wildlife and Marine Resources Department unpublished report, 1987; Whitaker, DeLancey, and Jenkins, 1989). This article presents information on the temporal and spatial abundance of white shrimp collected from a long-term trawl survey within the vicinity of the ACE Basin NERR. Although trawls have been shown to be relatively inefficient sampling devices for estimating abundance (Watson, Workman, and Hataway, 1992; Wennhage, Gibson, and Robb, 1997), their usage historically was to approximate and predict commercial trawl catch in the commercial shrimp fishery and represents a long-term, repeated sampling effort. Such data are not currently available from more efficient gear and statistically robust sampling schemes that have been used to estimate shrimp population density, such as those employed in South Carolina (Wenner And Wenner, 1993) and in the Gulf of Mexico (e.g., Howe, Wallace, and Rikard, 1998; Rozas, 1992) in short-term studies.


Sampling stations were located within the North and South Edisto River systems and St. Helena Sound of South Carolina (Figure 1). The current sampling scheme has been used by the SCDNR since 1979. Sampling cruises were conducted in March, April, August–September, and November–December. Otter trawls (6.2-m headrope × 2.5-cm stretch mesh) were towed for 15 minutes, with penaeid shrimp sorted, counted, weighed, and a random subsample of 50 individuals measured to total length in millimeters. Bottom water temperature and salinity measurements were taken after each tow by stem thermometer, hand refractometer, or a portable YSI Model 85 meter (±0.1 °C, ±1 ppt, respectively). Additional hydrographic variables that were used to supplement data taken during trawl collections included daily water temperature from Fort Johnson on Charleston Harbor, South Carolina (DeLancey et al., 2005) and salinity and dissolved oxygen from a continuous water quality monitoring station in the ACE Basin NERR (Sanger et al., 2002; Wenner et al., 2004).

Mean catch per tow (CPUE) of white shrimp was calculated for each year, season, and station. Season was defined for spring as collections in March–April, summer as August–September, and fall as November–December. CPUE was transformed \[log10(x + 1)] to satisfy assumptions of normality and homogeneous variances (Sokal and Rohlf, 1981; SPSS, 2004) for testing factors with analysis of variance (ANOVA). Factors were tested individually because sample sizes were unequal and the design was unbalanced, which precluded use of multiple factor designs. The nonparametric Kruskal-Wallis (KW) test was used when transformation failed to meet assumptions. Differences between the mean total length of shrimp by year, season, and station were compared with the nonparametric KW test. Statistical results were considered significant at the p ≤ 0.05 level. Regression analyses were performed to explore relationships between physical factors, CPUE, and shrimp size, and to examine trends in variables with time.


The mean annual water temperature in the ACE Basin NERR fluctuated without an apparent trend over time (r2 = 0.11; F = 3.05, p = 0.09). The time series reflected a 4-year decline from 1981 to 1984, which represented the lowest temperatures in the dataset (Figure 2). Mean annual salinity demonstrated a significant increasing trend (r2 = 0.30; F = 10.5, p = 0.003) with time, with 4 consecutive years above 28 ppt, beginning in 1999 (Figure 2). Data collected from water quality monitoring stations in the ACE Basin NERR also indicated an increase in average salinity for the period 1998–2003.

The annual CPUE of white shrimp during the time period 1979–2005 varied by as much as two orders of magnitude (Figure 3), generally increasing after 1985. Statistically significant differences in CPUE were detected between years (DF = 26/897, F = 12.4, p = 0.00, ANOVA) (Figure 3), time of year (χ2 = 238.2, p = 0.00, KW), and stations (DF = 8/897, F = 8.1, p = 0.00, ANOVA), respectively (Table 1).

White shrimp were most abundant in 1992 and 1999, respectively, with relatively greater numbers overall being taken in fall than in spring. Shrimp were most abundant in proximity to river mouths (station 9) or the confluence of several rivers (stations 1 and 8) (Figure 1).

Regression analyses revealed a significant relationship between January water temperature collected in Charleston Harbor and subsequent shrimp CPUE in March in the ACE Basin (p = 0.00) (Figure 4). The regression of the CPUE of white shrimp taken in August vs. the percent saturation of dissolved oxygen measured during July–August at a NERR water quality monitoring station situated in a tidal creek on the South Edisto River for 1995–2005 was also significant (p = 0.02) (Figure 5). Other nonsignificant regressions that were examined included annual CPUE over time, annual CPUE vs. salinity and water temperature measurements taken during trawl sampling, and CPUE in fall vs. summer dissolved oxygen measured at NERR monitoring stations.

Mean total length of white shrimp was statistically different for time of year, by year, and by station (χ2 = 1188.8, 3811.4, and 2880.3, respectively, p = 0.00, KW). An increase in the size of shrimp occurred in spring, whereas relatively smaller shrimp were collected in autumn (Figure 6). Generally, white shrimp were larger in years of low relative abundance, with a significant inverse relationship noted between the mean annual CPUE of shrimp and the mean annual total length (r2 = 0.30; F = 10.62, p = 0.003) (Figure 7). The mean size of shrimp was smaller in riverine stations than in open sound stations (χ2 = 2880.3, DF = 8, p = 0.00, KW) (Figure 1, Table 1).


The positive effect of mild winters and conversely the negative effects of harsh winters on white shrimp stocks have been well documented (DeLancey et al., 2005; Lam, Whitaker, and Lee, 1989; Williams, 1970); therefore it is not surprising that the data collected in this study reflect previous observations made on white shrimp. Since the mid-1980s, the majority of the winters in the southeastern United States have been mild, and in general, global temperatures have been warming (NOAA, 2006). Through the period 1987–2000, white shrimp commercial landings along the U.S. southeastern Atlantic coast exceeded 4.5 million kg/y, with a decline after the relatively cold winter of 2001 (NOAA Fisheries, 2006). Water temperatures falling below 8 °C in winter have been shown to be lethal to white shrimp (Joyce, 1965; McKenzie, 1981).

The increasing trend in salinity seen in this study reflects long-term changes in rainfall amount and subsequent river discharge, especially during the period 1999–2002, when a multiyear drought occurred in South Carolina and Georgia (Kiuchi, 2002; Verity, Alber, and Bricker, 2006). A potential increase in freshwater usage in upstream river areas by future development may continue this trend. Although no significant relationship was noted between salinity and the catch of white shrimp in this study, previous authors have stated that populations of the species seem to be positively affected by relatively higher amounts of freshwater inflow (Gunter and Hildebrand, 1954; Lam, Whitaker, and Lee, 1989). If the trend toward drier, more saline conditions persist, it may well impact the productivity of white shrimp stocks in the future and will warrant continued monitoring. Although not demonstrated for shrimp, increased salinity conditions are thought to have led to the proliferation of a marine parasitic dinoflagellate lethal to the blue crab, Callinectes sapidus, and a protistan (Perkinsus marinus) infecting oysters on the U.S. east coast (Ford and Tripp, 1996; Lee, 2000; Messick and Shields, 2000).

The apparent relationship between the percent saturation of dissolved oxygen and summer catches of white shrimp seen in this study raises further questions. A recent study has documented an apparent decline in dissolved oxygen in coastal estuaries in Georgia (Verity, Alber, and Bricker, 2006). What effects such a decline may have on shrimp stocks in these areas are unknown and may be difficult to demonstrate because of the natural variability of the populations (Allen et al., 1997). At the least, further declines in water quality (dissolved oxygen) in estuarine nurseries may cause premature displacement of growing shrimp into deeper areas or avoidance of shallow creek areas critical to their survival (Renaud, 1986; Wenner and Beatty, 1993).

Shrimp collected in spring represent potential spawners that have survived the winter (Linder and Anderson, 1956; Weymouth, Lindner, and Anderson, 1933). These individuals undergo rapid growth in the spring and represent the largest individuals collected during the year. Their progeny are the shrimp taken in late summer and fall. Differences in the average size of white shrimp observed at stations in this study reflect distribution related to basic life history. Smaller shrimp were collected in rivers, often adjacent to tidal creeks (Table 1), which have been shown to be important nursery areas (Wenner and Beatty, 1993; Williams, 1955). As shrimp grow, they gradually move into sound locations (Stations 6 and 7 in Figure 1) (Lindner and Cook, 1970; Whitaker, DeLancey, and Jenkins, 1989).

Observations from this study suggest that the annual size of penaeid shrimp may be negatively affected by increased relative abundance. This has been noted by various authors (Caillouet et al., 1976; Nance, Klima, and Czapla, 1989; Pérez-Casteñeda and Defeo, 2005), presumably reflective of increased competition for resources such as food and space.

The ACE Basin NERR can be considered a microcosm for trends and issues representative of estuaries in the southeastern United States. There has been a decline in commercial shrimping effort in the region due to low market prices and high fuel costs (SCDNR, 2007); an increase in recreational shrimping in St. Helena Sound (Byrd, 2006; Low, 1992); the appearance of “black gill” disease in shrimp, thought to be enhanced by stress from high summer temperatures and excessive rainfall (DeLancey et al., 2003; Geer, 2003); and the establishment of an exotic species of the red alga, Gracilaria, that has fouled commercial shrimp trawls (Freshwater et al., 2006; J. Norris, U.S. National Museum, personal communication). Continued baseline monitoring in conjunction with short-term intensive studies will be necessary to document these and other potential changes to shrimp populations in the ACE Basin NERR. Future efforts will include modeling of shrimp populations utilizing more detailed water quality data being collected by the NERRS program. As new modeling approaches become available, regional stock assessments should be feasible for shrimp stocks in the southeastern United States (Haas et al., 2001).


We would like to thank D. Whitaker, C. Farmer, and C. Bearden for instituting the SCDNR crustacean trawl monitoring program. We express thanks to the vessel captains J. LaRoche, V. Taylor, P. Richards, G. Miller, and P. Tucker. M. Maddox, among many others, who assisted with field sampling. K. Swanson assisted with figure and manuscript preparation. A. Dukes supplied salinity and dissolved oxygen data. This manuscript is dedicated to the memory of Nan Jenkins.



D. M. Allen, D. Edwards, R. F. Feller, S. E. Hutchinson, and V. Ogburn-Matthews . 1997. Detection and analysis of unusual events in long-term zooplankton and nekton data sets from North Inlet Estuary, SC, USA. Oceanological Acta 20 1:165–175. Google Scholar


C. M. Bearden 1961. Notes on postlarvae of commercial shrimp (Penaeus) in South Carolina. Contributions from Bears Bluff Laboratories 33:1–8. Google Scholar


J. Byrd 2006. Survey of the South Carolina Shrimp Baiting Fishery, 2005. South Carolina Dept. of Natural Resources, Marine Resources Division Data Report 40, Charleston, South Carolina. 19. p. Google Scholar


C. W. Caillouet, J. P. Norris, E. J. Heald, and D. C. Tabb . 1976. Growth and yield of pink shrimp (Penaeus duorarum duorarum) in feeding experiments in concrete tanks. Transactions of the American Fisheries Society 105:259–266. Google Scholar


L. B. DeLancey, J. E. Jenkins, M. B. Maddox, E. L. Wenner, R. P. Webster, and A. L. Segars . 2003. “Black gill” infection in penaeid shrimp in South Carolina. Abstract. The Crustacean Society summer meeting program. Gloucester Point, Virginia. Virginia Institute of Marine Science. Google Scholar


L. B. DeLancey, J. E. Jenkins, M. B. Maddox, J. D. Whitaker, and E. L. Wenner . 2005. Field observations on white shrimp, Litopenaeus setiferus, during spring spawning season in South Carolina, U.S.A., 1980–2003. Journal of Crustacean Biology 25:212–218. Google Scholar


C. H. Farmer, J. D. Whitaker, and N. L. Chipley . 1978. Pilot study to determine the overwintering patterns of white shrimp. Final report for National Marine Fisheries Service Contract 03-6-042-35105, South Carolina Wildlife and Marine Resources Department, Charleston, South Carolina. Google Scholar


S. E. Ford and M. R. Tripp . 1996. Diseases and defense mechanisms. In: Kennedy, V.S., Newell, R.I.E., and Eble, A.F. (eds.), The Eastern Oyster, Crassostrea virginica. College Park, Maryland: Maryland Sea Grant, University of Maryland, pp. 581–660. Google Scholar


D. W. Freshwater, J. K. Greene, R. H. Hamner, and F. Montgomery . 2006. Seasonality of the invasive seaweed Gracilaria vermiculophylla along the southeastern coast of North Carolina. Journal of the North Carolina Academy of Science 122:49–55. Google Scholar


P. Geer 2003. Black gill disease in the Georgia shrimp fishery. Abstract. The Crustacean Sociey summer meeting program. Gloucester Point, Virginia. Virginia Institute of Marine Science. Google Scholar


G. Gunter and H. H. Hildebrand . 1954. The relation of total rainfall of the state and catch of the marine shrimp (Penaeus setiferus) in Texas waters. Bulletin of Marine Science of the Gulf and Caribbean 4:95–103. Google Scholar


H. L. Haas, E. C. Lamon, K. A. Rose, and R. F. Shaw . 2001. Environmental and biological factors associated with the stage-specific abundance of brown shrimp (Penaeus aztecus) in Louisiana: applying a new combination of statistical techniques to long-term monitoring data. Canadian Journal of Fisheries and Aquatic Sciences 58:2258–2270. Google Scholar


A. F. Holland, G. H. M. Riekerk, S. B. Lerberg, L. E. Zimmerman, and D. M. Sanger . 1997. Assessment of the impact of watershed development on the nursery functions of tidal creek habitats. In: Management of Atlantic Coastal Marine Fish Habitat: Proceedings of a Workshop for Habitat Managers. Atlantic States Marine Fisheries Commission Habitat Management Series #2, pp. 110–115. Google Scholar


J. C. Howe, R. K. Wallace, and F. S. Rikard . 1999. Habitat utilization by postlarval and juvenile penaeid shrimps in Mobile Bay, Alabama. Estuaries 22:971–979. Google Scholar


E. A. Joyce Jr 1965. The Commercial Shrimps of the Northeast Coast of Florida. Florida Board of Conservation Marine Laboratory, St. Petersburg, Florida, Professional Papers Series No. 6. 224. p. Google Scholar


M. Kiuchi 2002. Multiyear-Drought Impact on Hydrologic Conditions in South Carolina, Water Years 1998–2001. South Carolina Department of Natural Resources Land, Water, and Conservation Division Report, Charleston, South Carolina. 4. p. Google Scholar


C. F. Lam, J. D. Whitaker, and F. S. Lee . 1989. Model for white shrimp landings for the central coast of South Carolina. North American Journal of Fisheries Management 9:12–22. Google Scholar


R. Lee 2000. Disappearance of blue crabs from a Georgia salt marsh estuary due to parasitic dinoflagellate: linkage to high salinities caused by drought. Newsletter of the Skidaway Marine Science Foundation 16:6–8. Google Scholar


W. N. Lindall and C. H. Saloman . 1977. Alteration and destruction of estuaries affecting fishery resources of the Gulf of Mexico. Marine Fisheries Review 39:1–7. Google Scholar


M. J. Lindner and W. W. Anderson . 1956. Growth, migrations, spawning and size distribution of shrimp Penaeus setiferus. Fishery Bulletin (United States) 56:555–645. Google Scholar


M. J. Lindner and H. L. Cook . 1970. Synopsis of biological data on the white shrimp Penaeus setiferus (Linnaeus) 1767. United Nations Food and Agricultural Organization Fisheries Reports 57:1439–1469. Google Scholar


R. A. Low 1992. Survey of the South Carolina Shrimp Baiting Fishery, 1991. South Carolina Department of Natural Resources, Marine Resources Division Data Report 9, Charleston, South Carolina. 31. p. Google Scholar


G. R. Lunz 1955. Bears Bluff Annual Report, 1954–55. Bears Bluff Laboratory, Wadmalaw Island, South Carolina. Google Scholar


M. D. McKenzie (ed.). 1981. Profile of the Penaeid Shrimp Fishery in the South Atlantic. South Atlantic Fishery Management Council, Charleston, South Carolina. Google Scholar


G. A. Messick and J. D. Shields . 2000. Epizootiology of the parasitic dinoflagellate Hematodinium sp. in the American blue crab Callinectes sapidus. Diseases of Aquatic Organisms 43:139–152. Google Scholar


J. M. Nance, E. F. Klima, and T. E. Czapla . 1989. Gulf of Mexico Shrimp Stock Assessment Workshop. NOAA Technical Memorandum, NMFS-SEFC-239, Silver Spring, Maryland. Google Scholar


NOAA 2006. (accessed October 30, 2006). Google Scholar


NOAA Fisheries 2006. (accessed November 15, 2006). Google Scholar


R. Pérez-Casteñeda and O. Defeo . 2005. Growth and mortality of transient shrimp populations (Farfantepenaeus spp.) in a coastal lagoon of Mexico: role of the environment and density-dependence. International Council for the Exploration of the Sea, Journal of Marine Science 62:14–24. Google Scholar


M. L. Renaud 1986. Detecting and avoiding oxygen deficient sea water by brown shrimp, Penaeus aztecus (Ives), and white shrimp, Penaeus setiferus (Linnaeus). Journal of Experimental Marine Biology and Ecology 98:283–292. Google Scholar


L. P. Rozas 1992. Bottomless lift net for quantitatively sampling nekton on intertidal marshes. Marine Ecology Progressive Series 89:287–292. Google Scholar


D. M. Sanger, M. Arendt, Y. Chen, E. L. Wenner, A. F. Holland, D. Edwards, and J. Caffrey . 2002. A Synthesis of Water Quality Data: National Estuarine Research Reserve System-Wide Monitoring Program (1995–2000). National Estuarine Research Reserve Technical Report Series 2002, 3. 135. p. Google Scholar


R. R. Sokal and F. J. Rohlf . 1981. Biometry. The Principles and Practice of Statistics in Biological Research. San Francisco, California: W.H. Freeman and Company. Google Scholar


SPSS 2004. Advanced Statistics 14.0. Chicago, Illinois: SPSS, Inc. Google Scholar


P. G. Verity, M. Alber, and S. B. Bricker . 2006. Development of hypoxia in well-mixed subtropical estuaries in the southeastern USA. Estuaries and Coasts 29:665–673. Google Scholar


J. W. Watson, I. K. Workman, and B. D. Hataway . 1992. The behavior of fish and shrimp encountering trawls in the Southeastern U.S. penaeid shrimp fishery. Proceedings of the Marine Technological Society Conference, pp. 336–341. Google Scholar


E. Wenner, D. Sanger, M. Arendt, A. F. Holland, and Y. Chen . 2004. Variability in dissolved oxygen and other water-quality variables within the National Estuarine Research Reserve System. Journal of Coastal Research 45:17–38. Google Scholar


E. L. Wenner and H. R. Beatty . 1993. Utilization of shallow estuarine habitats in South Carolina, U.S.A., by postlarval and juvenile stages of Penaeus spp. (Decapoda: Penaeidae). Journal of Crustacean Biology 13:280–295. Google Scholar


H. Wennhage, R. N. Gibson, and L. Robb . 1997. The use of drop traps to estimate the efficiency of two beam trawls commonly used for sampling juvenile flatfishes. Journal of Fish Biology 51:441–445. Google Scholar


F. W. Weymouth, M. L. Lindner, and W. W. Anderson . 1933. Preliminary report on the life history of the common shrimp Penaeus setiferus (Linn). Fishery Bulletin (U.S.) 48:1–26. Google Scholar


J. D. Whitaker, L. B. Delancey, and J. E. Jenkins . 1989. A Study of the Experimental Closure of South Carolina's Sounds and Bays to Commercial Trawling. South Carolina Wildlife and Marine Resources Department Technical Report No. 72, Charleston, South Carolina. 54. p. Google Scholar


A. B. Williams 1955. A contribution to the life histories of commercial shrimps (Penaeidae) in North Carolina. Bulletin of Marine Science 5:116–146. Google Scholar


A. B. Williams 1970. Penaeid shrimp catch and heat summation, an apparent relationship. United Nations Food and Agricultural Organization Fisheries Reports 57:643–656. Google Scholar


Figure 1.

Map of the study area in the vicinity of the ACE (Ashepoo, Combahee, and Edisto Rivers) Basin National Estuarine Research Reserve. Research trawl stations are numbered. The legal commercial trawling area is seaward of the indicated line.


Figure 2.

Annual mean and standard error for bottom water temperature and salinity collected during research trawl sampling in the ACE Basin, 1979–2005.


Figure 3.

Annual mean catch per trawl tow (CPUE) and standard error for white shrimp, Litopenaeus setiferus, collected in the vicinity of the ACE Basin, 1979–2005. The regression line indicates an increasing, although statistically insignificant trend (p =0.05).


Figure 4.

Regression of mean water temperature measured during January in Charleston Harbor, South Carolina, vs. mean catch per tow of white shrimp, Litopenaeus setiferus, taken in March in the vicinity of the ACE Basin NERR, 1979–2005.


Figure 5.

Regression of mean percent dissolved oxygen measured during July and August at St. Pierre Creek, South Carolina, vs. mean catch per tow of white shrimp, Litopenaeus setiferus, taken during August in the vicinity of the ACE Basin NERR, 1995–2005.


Figure 6.

Total length frequency of white shrimp, Litopenaeus setiferus, collected in the vicinity of the ACE Basin, 1979–2005, by month.


Figure 7.

Regression of annual mean catch per tow vs. annual mean total length of white shrimp, Litopenaeus setiferus, taken in the vicinity of the ACE Basin NERR, 1979–2005.


Table 1.

Mean catch per tow (log10 x + 1), standard error of mean, number of tows (n), mean total length (mm), standard error of mean, and number measured (n ) for white shrimp, Litopenaeus setiferus, by station, collected in the vicinity of the ACE Basin, 1979–2005


[1] This paper is contribution number 636 from the South Carolina Marine Resources Center.

Lawrence DeLancey, Elizabeth Wenner, and James Jenkins "Long-Term Trawl Monitoring of White Shrimp, Litopenaeus setiferus (Linnaeus), Stocks within the ACE Basin National Estuarine Research Reserve, South Carolina," Journal of Coastal Research 2008(10055), 193-199, (1 July 2008).
Published: 1 July 2008
climatic conditions
resource management
Size frequency
water quality
Back to Top