Lake Superior zooplankton biomass: Alternate estimates from a probability-based net survey and spatially extensive LOPC surveys

Journal of Great Lakes Research

Volumn 35, Issue 3, 2009, Pages 337-346

  Yurista, Peder M ^a   Kelly, John R ^a   Miller, Samuel E ^a  

^a National Health and Environmental Effects Research Laboratory   (United States)

Author keywords

Assessment; Field calibration; Lake Superior; Laser OPC; Zooplankton

Indexed keywords

ASSESSMENT; ASSESSMENT TOOL; BIOMASS CONCENTRATIONS; BIOMASS DATA; BIOMASS DISTRIBUTION; DEPTH ZONES; FIELD CALIBRATION; HIGH RESOLUTION DATA; IN-SITU; LAKE SUPERIOR; NEARSHORES; OPTICAL PLANKTON COUNTER; SURVEY DATA; SURVEY METHODS; VERTICAL SPACE; ZOOPLANKTON;

BIOMASS; CALIBRATION; DIFFUSERS (OPTICAL); LASERS; SECURITY OF DATA; SURVEYS;

LAKES;

BIOMASS; DRY MATTER; ENVIRONMENTAL ASSESSMENT; HISTORICAL RECORD; LAKE ECOSYSTEM; LASER METHOD; PROBABILITY; SAMPLING; VERTICAL DISTRIBUTION; ZOOPLANKTON;

GREAT LAKES [NORTH AMERICA]; LAKE SUPERIOR; NORTH AMERICA;

EID: 69249203475     PISSN: 03801330     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jglr.2009.03.004     Document Type: Article

References (37)

1. Austin J.A., and Colman S. Lake Superior summer water temperatures are increasing more rapidly than regional air temperatures: a positive ice-albedo feedback. Geophys. Res. Lett. 34 (2007) L06604 doi:10.1029/2006GL029021
2. Barbiero R.P., Little R.E., and Tuchman M.L. Results from the U. S. EPA's biological open water surveillance program of the Laurentian Great Lakes: III. Crustacean zooplankton. J. Great Lakes Res. 27 (2001) 167-184
3. Beaulieu S.E., Mullin M.M., Tang V.T., Pyne S.M., King A.L., and Twining B.S. Using an optical plankton counter to determine the size of distributions of preserved zooplankton samples. J. Plankton Res. 21 (1999) 1939-1956
4. Bottrell H.H., Duncan A., Gliwicz Z.M., Grygierek E., Herzig A., Hillbricht-Ilkowska A., et al. A review of some problems in zooplankton production studies. Norw. J. Zool. 24 (1976) 419-456
5. Bronte C.R., Ebener M.P., Schreiner D.R., DeVault S.D., Petzold M.M., Jensen D.A., et al. Fish community change in Lake Superior, 1970-2000. Can. J. Fish. Aquat. Sci. 60 (2003) 1552-1574
6. Diaz-Ramos, S., Stevens, D.L. Jr, Olsen, A.R., . EMAP Statistical Methods Manual. US Environmental Protection Agency, Office of Research and Development, NHEERL-Western Ecology Division, Corvallis, Oregon. 1996 EPA/620/R-96/002.
7. Dodson S. Predicting diel vertical migration of zooplankton. Limnol. Oceanogr. 35 (1990) 1195-1200
8. GLNPO. Standard operating procedure for zooplankton analysis (2003), US EPA Great Lakes National Program Office LG403
9. Dumont H.J., Van de Velde I., and Dumont S. The dry-weight estimate of biomass in a selection of cladoceran, copepoda and rotifera from the plankton, periphyton and benthos of continental waters. Oecologia. 19 (1975) 75-97
10. EPA. Great Lakes monitoring and research strategy (1992), US Environmental Protection Agency EPA/620/R-92/001
11. EPA. Results from the Great Lakes National Program Office's biological open water surveillance program of the Laurentian Great Lakes for 1998 (2000), US Environmental Protection Agency EPA/905/R-00/006
12. Finlay K., Beisner B.E., and Barnett A.J.D. The use of the laser optical plankton counter to measure zooplankton size, abundance, and biomass in small freshwater lakes. Limnol. Oceanogr. Methods 5 (2007) 41-49
13. Herman A.W., Beanlands B., and Phillips E.F. The next generation of optical plankton counter: the Laser-OPC. J. Plank. Res. 26 (2004) 1135-1145
14. Isaaks E.H., and Srivastava R.M. Applied geostatistics (1989), Oxford Univ. Press Inc, New York
15. Kerfoot W.C., Budd J.W., Green S.A., Cotner J.B., Biddanda B.A., et al. Doughnut in the desert: late-winter production pulse in southern Lake Michigan. Limnol. Oceanogr. 53 (2007) 589-604
16. Liebig J.R., Vanderploeg H.A., and Ruberg S.A. Factors affecting the performance of the optical plankton counter in large lakes: insights from Lake Michigan and laboratory studies. J. Geophys. Res. 111 (2006) C05S02 doi:10.1029/2005JC003087
17. Mackey S.D., and Goforth R.R. Foreword: special issue on Great Lakes nearshore and coastal habitats. J. Great Lakes Res. 31 Suppl. 1 (2005) 1-5
18. Megard R.O., Kuns M.M., Whiteside M.C., and Downing J.A. Spatial distributions of zooplankton during coastal upwelling in western Lake Superior. Limnol. Oceangr. 42 (1997) 827-840
19. In: Munawar M. (Ed). Limnology of Lake Superior. J. Great Lakes Res. Vol. 4 (1978) 1-554
20. Niemi G.J., Kelly J.R., and Danz N.P. Environmental indicators for the coastal region of the North American Great Lakes: introduction and prospectus. J. Great Lakes Res. 33 Special issue 3 (2007) 1-12
21. Patoine A., Pinel-Alloul B., Methot G., and LeBlanc M.J. Correspondence among methods of zooplankton biomass measurement in lakes: effect of community composition on optical plankton counter and size-fractionated seston data. J. Plankton Res. 28 (2006) 695-705
22. Peterson S.A., Urquhart N.S., and Welch E.B. Sample representativeness: a must for reliable regional lake condition estimates. Environ. Sci. Technol. 33 (1999) 1559-1565
23. Ricker W.E. Linear regressions in fishery research. J. Fish. Res. Board Can. 30 (1973) 409-434
24. Ricker W.E. A note concerning Professor Jolicoeur's comments. J. Fish. Res. Board Can. 32 (1975) 1494-1498
25. Ricker W.E. Computation and uses of central trend lines. Can. J. Zool. 62 (1982) 1897-1905
26. Sprules W.G., Jin E.H., Herman A.W., and Stockwell J.D. Calibration of an optical plankton counter for use in fresh water. Limnol. Oceanogr. 43 (1998) 726-733
27. Stevens Jr. D.L. Variable density grid-based sampling designs for continuous spatial populations. Environmetrics. 8 (1997) 167-195
28. Stevens Jr. D.L., and Olsen A.R. Variance estimation for spatially balanced samples of environmental resources. Environmetrics. 14 (2003) 593-610
29. Stevens D.L., and Olsen A.R. Spatially balanced sampling of natural resources. J. Am. Stat. Assoc. 99 (2004) 262-278
30. SURFER. Surface mapping system (2002), Golden Software Inc., Golden Colorado
31. SYSTAT. The system for statistics (2004), Systat Software Inc, San Jose California
32. Watson N.H.F., and Wilson J.B. Crustacean zooplankton of Lake Superior. J. Great Lakes Res. 4 (1978) 481-496
33. Woodd-Walker R.S., Gallienne P., and Robins D.B. A test model for optical plankton counter (OPC) coincidence and a comparison of OPC-derived and conventional measures of plankton abundance. J. Plank. Res. 22 (2000) 473-483
34. Yurista, P.M., Kelly, J.R., in press. Spatial patterns of water quality and plankton from high-resolution continuous in situ sensing along a 537-km nearshore transect of western Lake Superior, 2004. In: Munawar M, editor. State of Lake Superior: health, integrity and management. Ecovision World Monograph Series. Leiden: Backhuys.
35. Yurista P.M., Kelly J.R., and Miller S.E. Evaluation of optically acquired zooplankton size-spectrum data as a potential tool for assessment of condition in the Great Lakes. Environ. Manag. 35 (2005) 34-44
36. Zhang X., Roman M.S., Adolf A.H., Lascara C., and Burgett R. Can an optical plankton counter produce reasonable estimates of zooplankton abundance and biovolume in water with high detritus. J. Plank. Res. 22 (2000) 137-150
37. Zhou M., Zhu Y., Putnam S., and Peterson J. Mesoscale variability of physical and biological fields in southeastern Lake Superior. Limnol. Oceanogr. 46 (2001) 679-688