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One Health against the extinction of the mountain tapir ( <i>Tapirus pinchaque</i> ) in the Central Andes of Colombia

2025· article· en· W4414986945 on OpenAlexaboutno aff
Hugo Mantilla-Meluk, Federico Mosquera-Guerra, Nicolás Rafael Reyes Amaya, Leidy Johanna Sánchez-Alzate, Laura J. Nova-León, Andrés Felipe Vargas-Arboleda, Diana Carolina Valencia Zapata, Gina Carolina Avella Castiblanco, Paulo Quintero, Julie Bohórquez, Valentina Bejarano Rodríguez, Manuela Sanz, Stephany Hernández Marín

Bibliographic record

VenueCABI One Health · 2025
Typearticle
Languageen
FieldEnvironmental Science
TopicWildlife Ecology and Conservation
Canadian institutionsnot available
Fundersnot available
KeywordsBiodiversityExtinction (optical mineralogy)Endangered speciesRange (aeronautics)EpizooticClimate changeBiodiversity conservationPopulation

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.078
Threshold uncertainty score0.155

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.016
GPT teacher head0.253
Teacher spread0.237 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations1
Published2025
Admission routes1
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