Within the framework of the International Conference "Study and conservation of the snow leopard in the world. Joining forces" The Ministry of Ecology and Natural Resources of the Republic of Tatarstan is holding a republican contest of ecological drawings among art schools. The competition starts on February 3 and will last until February 28, 2025.
The main goal of the competition is to draw the attention of the younger generation to the problem of preserving the snow leopard and its habitat. The Ministry aims to raise awareness of the importance of preserving this rare predator and strengthen international cooperation in protecting biodiversity. The competition is an important part of the Ministry's strategy for the conservation of rare and endangered species of animals within the framework of the national project "Ecological Well-being".
Young artists from all over the republic are invited to participate. Drawings made on A3 or A4 paper in any technique (colored pencils, paints, wax crayons, etc.) are accepted for the competition. The following topics are offered to participants: "Snow leopard in the mountains", "Myths and Legends about the snow leopard", "Interaction between humans and snow leopards" and "The future of the snow leopard".
The work is accepted until February 28, 2025 at the address: 420049, Kazan, Pavlyukhin str. 75, office 108. The competition regulations are available on the Ministry's website: https://eco.tatarstan.ru/konkurs-risunkov-v-ramkah-mezhdunarodnoy.htm.
Take part in the contest and help us save the snow leopard for future generations! Let your drawings tell about the beauty and importance of this amazing animal!
For reference: The Ministry of Ecology and Natural Resources of the Republic of Tatarstan deals with the conservation of the snow leopard. Since 2022, the agency, on behalf of the Head of Tatarstan, has been creating the Snow Leopard Center for the Conservation of Biological Diversity. The scientific center is being built on the territory of the Altai Republic, one of the natural habitats of the animal.
The photo was taken using a neural network.