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Enregistrement W6983026409

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

2003· article· en· W6983026409 sur OpenAlexaboutno aff

Notice bibliographique

RevueLux Scholarship And Creativity At Lawrence University (Lawrence University) · 2003
Typearticle
Langueen
DomaineEngineering
ThématiqueHuman auditory perception and evaluation
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésBayZebra musselBiologistMusselFood webPopulationFisheries ResearchFish <Actinopterygii>
DOInon disponible

Résumé

récupéré en direct d'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the lower food web at sites that were investigated extensively prior to the zebra mussel invasion as well as analyzing unpublished data from that time period.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the lower food web at sites that were investigated extensively prior to the zebra mussel invasion as well as analyzing unpublished data from that time period.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.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict), Études des sciences et des technologies, Charge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,680
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,000
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0020,001
Communication savante0,0000,002
Science ouverte0,0010,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,045
Tête enseignante GPT0,238
Écart entre enseignants0,193 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2003
Routes d'admission1
Résumé présentoui

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