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Record W1750429897

STATUS OF LAKE WHITEFISH (COREGONUS CLUPEAFORMIS) IN LAKE CHAMPLAIN, 2006-2010

2011· article· en· W1750429897 on OpenAlexaboutno aff
Seth J. Herbst

Bibliographic record

VenueScholarWorks -A service of University of Vermont Libraries (University of Vermont) · 2011
Typearticle
Languageen
FieldEnvironmental Science
TopicFish Ecology and Management Studies
Canadian institutionsnot available
FundersLake Champlain Sea Grant, University of VermontU.S. Fish and Wildlife ServiceNational Oceanic and Atmospheric Administration
KeywordsCoregonus clupeaformisFecundityCoregonusFisheryOtolithIchthyoplanktonBiologyRange (aeronautics)BayPopulationAbundance (ecology)EcologyEnvironmental scienceGeographyOceanographyFish <Actinopterygii>Geology
DOInot available

Abstract

fetched live from OpenAlex

Lake whitefish (Coregonus clupeaformis), in the family Salmonidae, is a coldwater species that is widely distributed in North America. Throughout their range, whitefish support one of the most economically valuable freshwater fisheries and were also commercially fished in Lake Champlain. My goals were to quantify seasonal diet, determine temporal and spatial changes in larval abundance, evaluate biological parameters (size and age structure, sex composition, growth, condition, energy density, and fecundity), and determine if the introduction of zebra mussels (Dreissena polymorpha) to Lake Champlain in 1993 had similar affects on the whitefish population as seen in many of the Great Lakes. Whitefish were collected year-round using gillnets and bottom trawls. Diet was quantified seasonally. Temporal and spatial changes in larval abundance were determined by ichthyoplankton net catches. A comparison of scales, fin rays, and otoliths indicated that otoliths provided the lowest bias and highest precision. Age estimation using otoliths generated a wider range of ages and greater number of age classes when compared with scales and fin rays and therefore age and growth were determined using otolith age estimates. Growth parameters of the entire main lake population were estimated using the von Bertalanffy growth model (K = 0.20; L∞ = 598 mm), mean condition using Fulton’s K condition factor (K = 1.05) and by determining energy density, and fecundity using the gonadosomatic index (GSI = 13.9). Larval whitefish were abundant throughout much of the main lake, but absent in Missisquoi Bay and rare in Larabee’s Point, the historic commercially fished locations. Diet varied seasonally; whitefish fed primarily on large numbers of fish eggs in the spring and transitioned to foraging on mysids in the summer and gastropods in the fall and winter. Surprisingly, zebra mussels made up less than 1% of the diet and appeared in less than 10% of the stomachs analyzed, despite being abundant in the benthos. Biological parameters (size and age structure, sex composition, growth, condition, energy density, and fecundity) of whitefish in Lake Champlain were typical of an unexploited population, with multiple length and age classes represented. Condition was high and representative of a diet with high energy content. Whitefish in Lake Champlain had similar high energy density to those in Lake Erie, where declines in whitefish condition were not associated with dreissenid invasions, and had greater mean energy density than whitefish in lakes Michigan, Huron, and Ontario. I concluded that the current whitefish population in the main lake of Lake Champlain is typical of an unexploited population. However, whitefish apparently no longer use Missisquoi Bay and Larabee’s Point for spawning, most likely because of human alteration of habitat conditions. The high condition factor and energy density of whitefish in Lake Champlain, in contrast to the Great Lakes, is probably a result of their ability to attain sufficient energy sources from an intact native forage base.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.372
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.002
Open science0.0010.002
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.017
GPT teacher head0.163
Teacher spread0.146 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2011
Admission routes1
Has abstractyes

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