Модель ареала диких животных разработана в рамках проекта по адаптации млекопитающих к изменению климата

The wildlife habitat model has been developed within the framework of the project on climate adaptation of mammals

24 October 2024

As part of the "Adaptation of Mammals to Climate Change in Central Asia" (AMIK in CA) project, representatives from Humboldt University (Berlin, Germany) have developed a model of ecological corridors for key migratory species, including the snow leopard, Marco Polo sheep, and mountain goats.

To create this model, the CAIAE and the Academy of Sciences of the KR provided initial GPS data on animal migrations within the project area, along with other necessary information.

The developers presented preliminary results at a meeting attended by leaders from the Department of Biodiversity Conservation of the Ministry of Natural Resources of the Kyrgyz Republic, representatives from the National Academy of Sciences of the Kyrgyz Republic, and the project team from the СAMР Alatoo PF and the Ilbirs Foundation.

As noted, the model also facilitates the creation of ecological corridors between protected natural areas—specifically, the Naryn and Khan-Tengri State Nature Reserves.

During the work, a geographical analysis was conducted using satellite imagery, taking into account 24 variables that determine habitats and potential corridors. These included ecological and anthropogenic factors, such as the distance from animal habitats to human settlements, protected areas, or water bodies, climate conditions, and the availability of food sources. These indicators were integrated into the model to predict optimal habitats for mammals and assess favorable conditions. The compilation of all data identified key areas most suitable for animal life, and the maps of potential resilience helped analyze how easily or difficult it is for different species to colonize new territories. Experts noted that most of these areas are located near protected areas, highlighting the importance of conserving these territories to maintain biodiversity.

After discussions, the meeting participants decided that representatives from Humboldt University and the project team would continue their work on data verification and analysis of factors that could improve the digital model.

 

 

 

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