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Harnessing the power of AI and community centered approaches to monitor Jaguars in the Yucatan Peninsula

Harnessing the power of AI and community centered approaches to monitor Jaguars in the Yucatan Peninsula

Mexico is recognized as a megadiverse country, housing approximately 12% of the world’s species. The country safeguards a rich natural and cultural heritage through the efforts of indigenous communities. The Yucatan Peninsula, in the southeast, is ecologically rich, featuring rainforests, coral reefs, mangroves, and more, but these ecosystems are rapidly deteriorating due to human activities and climate change. Nearly 80% of the rainforests are disturbed, with only 22% covered by mature vegetation, primarily in protected areas.

The Tech4Nature Mexico pilot project employs continuous biodiversity monitoring and artificial intelligence systems for the detection and conservation of priority species in the Dzilam State Reserve, to strengthen the understanding of the impacts of climate change on the area. This approach has been materialized through the inclusion of the community as main partners and contributors, the application of machine learning techniques and the construction of multi-sectoral alliances.

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