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Record W6983026409

Lawrence University Biologist Awarded $200,000 Grant for Zebra Mussel Study

2003· article· en· W6983026409 on OpenAlexaboutno aff

Bibliographic record

VenueLux Scholarship And Creativity At Lawrence University (Lawrence University) · 2003
Typearticle
Languageen
FieldEngineering
TopicHuman auditory perception and evaluation
Canadian institutionsnot available
Fundersnot available
KeywordsBayZebra musselBiologistMusselFood webPopulationFisheries ResearchFish <Actinopterygii>
DOInot available

Abstract

fetched live from OpenAlex

The impact of the exploding non-native zebra mussel population on the ecosystem of the bay of Green Bay will be the focus of a three-year study conducted by Lawrence University associate professor of biology Bart De Stasio starting in March 2005. The research project will be funded by a $206,000 grant De Stasio was awarded by the University of Wisconsin Sea Grant Program. A specialist in aquatic biology, especially predator-prey interactions, De Stasio will combine advanced computer modeling with field study research to determine the effects the exotic invader is having in Green Bay on the populations of phytoplankton, benthos, zooplankton and fish species. Widely considered one of the most productive fisheries in the Great Lakes, Green Bay had been studied extensively prior to the invasion by zebra mussels. But De Stasio’s study will be the first to explore the dramatic changes the coastal ecosystem of Green Bay has undergone since zebra mussels were first discovered there in 1992 and only the third of its kind on the entire Great Lakes basin. The research project will have three main objectives. One will be to identify information gaps in existing data by conducting field studies on key components of the lower food web at sites that were investigated extensively prior to the zebra mussel invasion as well as analyzing unpublished data from that time period. The research project will have three main objectives. One will be to identify information gaps in existing data by conducting field studies on key components of the lower food web at sites that were investigated extensively prior to the zebra mussel invasion as well as analyzing unpublished data from that time period. The study’s third objective will involve the construction of a dynamic energy/mass balance-flow ecosystem model of Green Bay that can be used for comparison with current modeling efforts done for the Bay of Quinte on Lake Ontario and Oneida Lake in New York. “Green Bay is an ideal site for this project because of the abundance of good data that had been collected by other scientists and researchers prior to the arrival of the zebra mussel,” De Stasio said. “This study will provide a great opportunity to collect new data and create ecosystems models that will be invaluable to others who are also studying this problem. We want to establish collaborations with researchers at Cornell University and the Ontario Ministry of Natural Resources so we can determine the impact the zebra mussel is having on similar ecosystems not just in northeast Wisconsin but throughout the entire Great Lakes region.” The grant will enable two Lawrence students to join De Statio as technicians and summer research assistants each year of the study as well as support one graduate student at UW-Green Bay. With the support of a 1995 National Science Foundation grant, De Stasio previously established a baseline data set for ecological and genetic dynamics to measure the impact of zebra mussels on the Lake Winnebago watershed. Native to the Caspian Sea region of Asia, the fingernail-sized zebra mussels are believed to have arrived in the Great Lakes via ballast water discharged from a transoceanic vessel into Lake St. Clair, near Detroit in 1988. Since their discovery, they have spread rapidly to all of the Great Lakes and waterways in many states, as well as Ontario and Quebec. By 1998, they had reached Lake Winnebago. While most of the biological impacts of zebra mussels in North America are not yet known, information from Europe suggests zebra mussels have the potential to severely impact native mussels by interfering with their feeding, growth, locomotion, respiration and reproduction. They are notorious for their capabilities to colonize water supply pipes of power plants, public water supply plants and other industrial facilities, constricting flow and reducing the intake capacity in heat exchangers, condensers, fire fighting equipment and air conditioning and cooling systems. A 1982 Lawrence graduate, De Stasio earned his Ph.D. in ecology and evolutionary biology at Cornell University. He joined the Lawrence biology department in 1992 and was named a recipient of the Appleton Joint Rotary Clubs’ 1998 “Cutting Edge” award for leadership and innovation in education.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.207
Threshold uncertainty score0.692

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0020.001
Scholarly communication0.0020.001
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.2070.064

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 head0.045
GPT teacher head0.238
Teacher spread0.193 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2003
Admission routes1
Has abstractyes

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