Notice bibliographique
Résumé
Long-term population and harvest data have shown that the continental population of lesser scaup (Aythya affinis) has been steadily declining, about 150,000 per year, over the past 20 years. Due to the temporal length of their population decline, scaup have received widespread attention by resource management agencies and private conservation groups throughout the U.S. and Canada. My objectives were to determine lesser scaup occupancy (use) on wetlands of various size and classification during the spring migration period in eastern South Dakota. I determined lesser scaup occupancy of wetlands of various size and classification with multiple surveys conducted during 30 March – 16 May, 2003 on 26 wetlands along a 28-mile-long (45 km) road transect in Brookings County, South Dakota, and from the analysis of long-term scaup and wetland data collected during 1987-2002 by the US Fish and Wildlife Service/HAPET staff in Bismarck, North Dakota. The total number of scaup counted during 11 roadside wetland surveys did not differ between morning (n = 16,800), midday (n = 16,150), and evening (n = 16,525) surveys (p = 0.99). The highest number of lesser scaup counted on road transect wetlands occurred during the week of 10 April. A total of 11,698 lesser scaup were counted on the 4-square mile (10.36-km2) plot surveys from 1987 to 2002. Highest counts of scaup occurred during 1995, 1996, and 1997. A total of 10,358 (89%) lesser scaup were counted during 1 May to 15 May surveys, of which 6,427 were males and 3,931 were females. A total of 1,340 (11%) lesser scaup were counted between 20 May to 5 June of which 899 were males and 441 were females. Over 7,000 scaup were counted in the Prairie Coteau while only 139 were counted within the Minnesota Red- River Lowland. Throughout the entire survey 827 ponds were surveyed, in which lesser scaup occurred on 221 (27%) of them. The sample of survey wetlands used by lesser scaup consisted of 8 (4%) temporary, 50 (23%) seasonal, 146 (66%) semipermanent and 17 (7%) permanent. Most lesser scaup (63%) were observed on semipermanent wetlands with an open water cover type. Forty-nine percent of the wetlands surveyed where scaup occurred were less than 2.02 hectares in size. However, 85% of the scaup were observed on wetlands ≥ 2.02 hectares. Of the 5,382 scaup observed in flocks, 75% occurred in flock sizes of ≤ 50. Seventy-one percent of the flocks observed had ≤ 10 birds within them. The information attained from the distribution of lesser scaup during migration in South Dakota will be used with data from other studies to determine what factors are contributing to the scaup population decline in North America.
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 | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,001 |
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 ».