Preface
Notice bibliographique
Résumé
The large lakes of Sweden (Vänern, Vättern, Mälaren and Hjälmaren) were formed during the last glacial period when the ice retreated from central Sweden 10,000 years ago. These lakes constitute about 24% of the total lake area of Sweden and are extremely important as a water resource and are used for fishing, trade and recreational activities (Willén, 1984). At 5600 km2, Vänern is the largest lake within the European Union. Its location and size give the lake a maritime character with unique fauna and flora, which are recognised in several NATURA 2000 areas. Approximately 300,000 inhabitants live around the lake and depend on it as a source of freshwater. The lake is the largest water power regulation dam in Sweden, with a volume of 153 km3, and is commercially used both for transport and for fishing. It is also important for recreation for tourists and local residents.The large lakes of Sweden, including Lake Vänern, have been monitored for more than four decades for water quality conditions (phosphorus, nitrogen, plankton and benthos) to assess the impact of anthropogenic activities. Lake Vänern, historically characterized as oligotrophic, showed signs of eutrophication as early as 1967–1968 when conspicuous algal blooms were recorded in its bays. This lake was also affected by organic loading due to pulp and paper effluents which eventually coloured the water significantly. However, the discharge of organic substances was later reduced by 80% due to better management and improved water treatment practices. In addition, metal pollution from zinc mines in the north became a concern which was then reduced significantly, giving the lake an opportunity to recover.In 2012, a conference was organized (S.-A. Wängberg, G. Dave and M. Munawar, Co-chairs) on the State of Lake Vänern Ecosystem: Past, Present and Future (SOLVE) in Vänersborg, Sweden, from 11–14 June. The conference was organised specifically to improve understanding of the functioning of the lake, as well as to identify new and potential research areas for the future. Since the research activities on Lake Vänern are limited, the organizing committee made a concerted effort to invite keynotes from North American Great Lakes with long-term experience for exchange of ideas, approaches and techniques. It is hoped that some of the hypotheses, methods and technologies from the Great Lakes included in this special issue will be useful in developing future research and monitoring programs in Lake Vänern. The current special issue contains seven articles which focus on the state of this lake’s ecosystem as outlined below: Historical backgroundWater regulation and flood risk assessmentIncreasing algal biomass under decreasing phosphorusClimate variability and fish recruitmentSampling methods for littoral zone fishesCo-management of Atlantic Salmon and Brown TroutMulti-frequency acoustics for zooplankton monitoringThree invited keynote contributions (Minns, Nalepa and Munawar) tackle the following topics based on their long-term experience of the Great Lakes: Management of Great Lakes fisheriesComparison of invasive speciesGreat Lakes in transition: Changes at the base of the food webThe final two articles cover the timely topics of international management and agreements: European Water Frame DirectiveAquatic ecosystems across boundariesWe hope that this set of 12 articles dealing with Lake Vänern and the North American Great Lakes, as well as international agreements, will be useful to students, managers and researchers in improving their understanding of Lake Vänern, and in helping in the design of better research programs for the future. We would sincerely like to thank the members of the scientific committee for their hard work in developing an interesting conference program. Thanks are also due to Jessica Lindskog Sultan, Per-Ola Ramussen and Per-Åke Warg for the excellent local arrangements. We greatly appreciate the support of the University of Gothenburg, Göteborg, Högskolecentrum Vänersborg, in Sweden, and the Aquatic Ecosystem Health & Management Society (AEHMS), Canada.
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 enseignantsNi 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.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,005 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».