Gill net survey of fishes of Oneida Lake, NY, 1957 – 2010
Rudstam, Lars; Jackson, James R.
The Cornell Biological Field Station (CBFS) serves as a primary field site for aquatic research at Cornell University (more information can be found at http://www.dnr.cornell.edu/fieldst/cbfs.htm) and is part of the Department of Natural Resources, College of Agriculture and Life Sciences. The centerpiece of the station's research program is a 50-year database on the food web of Oneida Lake, New York, that has been collected with support from the Cornell University Brown Endowment and from the New York State Department of Environmental Conservation. The data are collected by personnel from the Cornell Biological Field Station and include limnology, benthos, zooplankton, phytoplankton, and fish survey data, primarily from Oneida Lake and spanning 1957 to the present. This data package contains tables summarizing data collected during standardized gill net sampling efforts conducted from 1957 - 2010. The three primary tables summarize abundances of thirty-seven species for each sample date, yearly catch per unit effort for thirty-seven species, and yearly totals by age class for yellow perch, walleye, and smallmouth bass. Auxiliary tables contain latitudes and longitudes of standard sampling sites and explanations of species names used in the primary tables.
This data package must be uncompressed for use. In addition to the data described above, it includes an Ecological Metadata Language (EML) record, which describes in considerable detail the contents of the data table(s), methods, usage rights, and other information. All users of these data are strongly encouraged to review this EML record.
Fish; Lakes; Community structure; Oneida Lake, New York; Onondaga County, New York; Oswego County, New York; Oneida County, New York; Madison County, New York; Yellow perch; Walleye; Smallmouth bass
Suggested CitationRudstam, Lars, Jackson, James R.. (2008). Gill net survey of fishes of Oneida Lake, NY, 1957 – 2010 (Dataset) eCommons Digital Repository at Cornell University. Retrieved from: http://hdl.handle.net/1813/11216