Understanding the effects of climate change on Caribbean hawksbill turtles: satellite tracking hawksbill migrations (aggregated per 1-degree cell)
Notice bibliographique
Résumé
Original provider: World Wildlife Fund Dataset credits: Data provider WWF Originating data center Satellite Tracking and Analysis Tool (STAT) Project partner This project is a collaborative partnership between: 1. The World Wildlife Fund The LAC (Latin America and Caribbean) works to achieve an action based approach to the regional conservation challenge of marine turtle conservation. They have collaborated with the WWF Ottawa (Canada) office to orchestrate the deployment of satellite transmitters on Caribbean hawksbill turtles. Based in the Costa Rica office, the staff there will collaborate with: 2. The Marine Turtle Research Group (University of Exeter) The MTRG has dedicated specialists in many aspects of marine turtle ecology and have a demonstrated success in successful deployment of satellite transmitters on a variety of marine turtle species. In collaboration with the University of Valencia, Spain, Dr Jesus Tomas will represent the MTRG. 3. Grupo Jaragua project, Dominican Republic Represented and staffed by Dr Jesus Tomas and Dr Yolanda Leon, Grupo Jaragua will provide the local expertise and logistical support for the deployment of the units. Grupo Jaragua has been monitoring nesting by hawksbill and leatherback turtles on the beaches of the DR for many years. 4. The ACT initiative Funded by the MacArthur Foundation, and formed in December 2007, the ACT initiative is trying to help understand the effects of climate change to marine turtle populations. By highlighting current knowledge and information gaps, ACT hopes to be able to design ways to mitigate the negative effects of climate change to turtles and to help to incorporate them into coastal planning. 5. INTEC and UASD Project sponsor or sponsor description This project is funded by the J M Kaplan Fund, the Spanish Ministry of Education and Sciences. Support was also provided by the AECI (Araucaria programme Spanish Cooperation Agency, Ministry of Foreign Affairs) and the Foundation of the University of Valencia (UV). Abstract: The ecological decisions that influence hawksbill turtle migration are little understood and have not been investigated. Understanding the environmental and biological parameters that guide hawksbill migration (environmental features such as thermal fronts, sea surface currents and ocean depth) is key to understanding how hawksbill turtle populations may be able to cope with the adverse affects of climate change in the future. The only means by which this information currently can be obtained for migrating turtles at large is through satellite telemetry. Using ARGOS linked satellite transmitting units, an individual can be deployed and its locations tracked, environmental variables of its habitat obtained and a greater understanding of hawksbill migratory ecology gained. This information will then be used in conjunction with available information from other tracking studies to quantify the environmental “envelope” that Caribbean hawksbill turtles generally occupy. Future predicted changes in surface temperatures and currents can then be modeled more accurately and realistically To date, no units have been deployed from the Dominican Republic, an island nation that receives a significant number of leatherback nests as well as hawksbill nests. The Dominican Republic is ideally situated to investigate the environmental parameters that may influence hawksbill migration: relatively central to the insular Caribbean, the Dominican Republic is surrounded by important Caribbean oceanographic features which may be important factors in determining the migratory paths. This dataset is a summarized representation of the telemetry locations aggregated per species per 1-degree cell.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,003 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,002 | 0,002 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,006 | 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 source (Gemma direct ou Codex distillé), 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 ».