In news-The Great Green Wall for the Sahel and Sahara Initiative has received 14 billion Dollars in new funding in 2021.
About Great Green Wall (GGW) programme-
- It aims to restore 100 million hectares of degraded ecosystems across 11 countries in the Sahel region.
- The GGW snakes the Sahel region from Senegal in the West to Djibouti in the East of Africa.
- It was launched in 2007 by the African Union to promote sustainable development and climate change mitigation.
- The 11 countries selected as intervention zones for the initiative are Burkina Faso, Chad, Djibouti, Eritrea, Ethiopia, Mali, Mauritania, Niger, Nigeria, Senegal and Sudan.
- By 2030, it seeks to sequester 250 million tons of carbon and create 10 million green jobs. This will support communities living along the Wall to:
- Grow fertile land, one of humanity’s most precious natural assets.
- Grow economic opportunities for the world’s youngest population.
- Grow food security for the millions that go hungry every day.
- Grow climate resilience in a region where temperatures are rising faster than anywhere else on Earth.
- Grow a new world wonder spanning 8000 km across Africa.
- The GGW offers multiple (environmental, social and economic) benefits on an epic scale, touching on 15 of the 17 United Nations-mandated Sustainable Development Goals.
- The initiative brings together African countries and international partners, under the leadership of the African Union Commission and Pan-African Agency of the Great Green Wall.
- The Global Mechanism (GM) of the UNCCD implemented a flagship initiative under the Great Green Wall called FLEUVE.
- The project was financed by the European Commission in the amount of about seven million Euro and was implemented from 2014-19.
- FLEUVE aimed at strengthening the capacities of local communities to help boost investments in land restoration and created employment opportunities or ‘green jobs.
- The project was driven by local people themselves to strengthen community resilience to land degradation, drought and climate variability.