Empowered farmers are environmental stewards
Your support is now impacting more people and restoring more forest than ever.
By supporting this project you are helping to restore the threatened Miombo woodland in Zambia´s Luanshya district and empowering farmers to improve their livelihoods by keeping the forest standing. That´s good news for people, planet and climate. Remember that trees are the best technology to combat climate change.
In October 2016, 470 farmers were involved in our project. Today, 195 more smallholder farmers have been trained and are ready to begin restoring the Miombo woodlots on their farms. With a minimum of two limas (0.5 hectares) of forest each, there is the potential to increase the area under restoration by around 100 hectares, something that wouldn´t have been possible without your support.
Our project makes sure that trees are worth more standing than felled. Farmers are trained to harvest biomass sustainably, offering families a new source of income straight from the forest itself! There are a number of other socio-economic development activities they can take up as well, including honey production from beehives installed in their Miombo woodlots.
Training took place over the course of two days. In the morning, theory classes took place, on assisted natural regeneration (the method farmers use to restore the woodlots) and beekeeping, followed by practical training in the afternoon. Almost just as many women took part as men. Out of 195 farmers, 93 were women and 102 were men. We make sure that women have the opportunity to improve their livelihoods too.
200 other farmers have signed up to receive training in 2018.
It is always extremely exciting to see the interest from people living alongside the forest we´re restoring. We couldn´t do it without them, and we couldn´t do it without you either.
Thank you for supporting our efforts. We encourage you to keep on doing so, to restore forests, empower rural families and make earth cooler.
Practical training in ANR under the forest canopy