Arctic Museum collections: Documenting and understanding changes in biological and cultural diversity through time and space
Notice bibliographique
Résumé
Arctic Museum collections: Documenting and understanding changes in biological and cultural diversity through time and spaceThe role of museums and herbaria in biodiversity and cultural synthesis efforts in the Arctic is to preserve the physical and cultural specimens and to advance scientific knowledge by improving access to digitized information.The information associated with these collections, such as geographic, cultural, environmental, phenology, and other information about associated organisms, collector field notes, and tissues and molecular data extracted from the specimens is an invaluable resource providing the baseline from which to further biodiversity research and provide critical information about existing gaps in our knowledge of life in the Arctic.Effective management and conservation of high-latitude biological and cultural diversity in the face of unprecedented rates of climate change requires information on past and current patterns of diversity and their evolution.This special issue of Arctic Science presents results from a workshop entitled "Arctic Museum Collections: Documenting and understanding changes in biological and cultural diversity through time and space" held during Arctic Science Summit Week in March 2016 at the University of Alaska Fairbanks.The workshop brought together scientists from many Arctic nations and focused on current informatics infrastructure, developing large networks of Arctic collections collaborators, and engaging new members and their students in many issues relevant to the Arctic and Subarctic.Lewis et al. review the status of knowledge of genetic diversity and evolutionary history for bryophyte taxa as it relates to shifting species ranges and colonization of new habitats.The University of Alaska Museum is a leader in Arctic and Subarctic collections and their digitization (with our multicollection database Arctos, arctosdb.org).Sikes et al. review rapid digitization efforts in entomological collections in the Arctic and highlight the open-access, online presence of the University of Alaska Museum's rapidly growing entomological collection.To answer relevant questions on the impact of change on high-latitude biological and cultural diversity, we need to synthesize and continue to generate baseline information on Arctic and Subarctic systems.Winker and Withrow show the inadequacy of most specimen collections to the task at hand of facilitating biodiversity assessment and conservation using the bird collections at the University of Alaska Museum as an example.They argue that we need to work collectively to fill temporal, spatial, and taxonomic gaps so we can develop and wield the science that will make us better stewards of Arctic environments.Several contributions in this special volume underscore the international, collaborative scope of Arctic research, including a detailed account of the historical exploration and specimen contributions from Finnish botanists and mycologists by Väre, or the description of baseline data acquisition on plant communities on Greenland accomplished through the Greenland Botanical Survey and subsequent field campaigns, the specimens from which are
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 | 0,001 |
| 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 | 0,024 | 0,001 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
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.
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 ».