One Health against the extinction of the mountain tapir ( <i>Tapirus pinchaque</i> ) in the Central Andes of Colombia
Notice bibliographique
Résumé
Abstract Colombia is the only country that supports populations of three tapir species. Among them, the mountain tapir ( Tapirus pinchaque ) is classified as Endangered (EN) due to the rapid transformation of its natural habitats. This threat is further exacerbated by climate change, which facilitates the upward migration of parasites, putting additional pressure on the species. Currently, the mountain tapir faces a critical threat from mortality caused by myiasis, presumably induced by cattle screwworm flies. To date, nine confirmed cases of fatal myiasis have been reported during the last 3 years in the south-western region of the country on the central mountain range of the Andes: eight in Otún Quimbaya, Risaralda, and one in Peñas Blancas, Calarcá, Quindío, influence area of Los Nevados Natural National Park, recognized strongholds for the species’ conservation in the country. Current population estimates suggest fewer than 100 individuals remain in the area of the park, raising significant concerns about the long-term viability of the species. As a signatory to the COP 16 agreements held in Cali in 2024, Colombia committed to adopting the “One Health” approach as part of its National Biodiversity Plan under the Kunming-Montreal Framework. This approach aims to address the interconnectedness of biodiversity and health through an integrated, holistic perspective. In this study, we propose a One Health-based strategy to mitigate the potential risk of local extinction of the mountain tapir in this zone of epizootic events. Our methodology integrates geographic information system (GIS) analyses and mathematical modeling to examine the demographic impact of screwworm myiasis on T. pinchaque . We developed a situational analysis focused on a multisectoral response plan and advocate for the urgent implementation of contingency measures to ensure mountain tapirs’ survival and slow down the ongoing process of local extinction. We conclude that environmental surveillance through community participatory science, combined with social sensors detecting unusual natural behaviors, can complement the efforts of environmental decision makers, academic researchers, and productive sector stakeholders. Moreover, species conservation, particularly extinction prevention, is only achievable through the integration of capacities across multiple sectors, breaking down traditional silos. One Health impact statement We consider this work highly relevant within a One Health context, as it analyzes and provides management tools and information to address the urgent threat of extinction facing the mountain tapir. This ecologically vital species is at risk due to a human-induced epidemic associated with myiasis caused by cattle screwworms. The issue involves the interconnected health of humans, animals, and the environment, requiring a holistic, multistakeholder, and transdisciplinary approach to foster integration across different sectors within the One Health framework. We conclude that species conservation, particularly extinction prevention, is only possible through the integration of capacities across multiple sectors, breaking down traditional silos. Environmental surveillance through community participatory science, along with the use of social sensors to detect unusual natural behaviors, can complement the efforts of environmental decision makers, academic researchers, and stakeholders in the productive sector. These groups are both primary contributors to and beneficiaries of the proposed conservation strategy.
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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 | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,000 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,001 | 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) | 0,003 | 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 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 ».