The cash crop integration component aimed to incentivize tree management by linking reforestation efforts with short-term income generation. Top-performing farmers, assessed based on tree survival rates and GAP training participation, were awarded cash crop inputs such as soya beans and groundnuts. These crops were selected for their adaptability to local soils, market demand, and ability to complement agroforestry systems. Farmers achieved an average 12% increase in soya bean yields (350 kg/acre) and 10% increase in groundnut yields (240 kg/acre), with incomes averaging UGX 1,050,000 ($285) for soya beans and UGX 900,000 ($244) for groundnuts. The inclusion of cash crops encouraged farmers to maintain their agroforestry systems, reducing tree felling for short-term needs.

The primary purpose of tree planting at community level is to achieve large-scale ecosystem restoration while enhancing local livelihoods through agroforestry. The project partnered with four communities to mobilize 425 farmers for tree planting, distributing 73,867 seedlings. Farmers were trained in Good Agroforestry Practices (GAP), including tree planting techniques, mulching, pest and disease management, and soil fertility enhancement. Tree species like Grevillea robusta and Agrocarpus were selected for their fast growth, timber production potential, and ability to improve microclimates and soil structure. Tree planting activities focused on degraded lands prone to erosion and drought, effectively addressing flood control, biodiversity restoration, and ecosystem loss.

The purpose of community-based permanent nursery beds is to ensure the production of high-quality, resilient seedlings for reforestation efforts while building local capacity. Each of the four project districts (Luwero, Mbale, Busia, and Kapchorwa) established one centralized nursery bed per location, equipped with essential tools, irrigation facilities, and trained nursery operators. Seeds were delivered early (December 2023–January 2024) to allow for the full growth and hardening process, ensuring seedlings met survival standards. The nurseries produced 96,423 seedlings of multi-purpose tree species, including Grevillea and Agrocarpus, which were selected for their adaptability to local climatic conditions, drought resistance, and soil stabilization properties. Nurseries also served as training hubs, where farmers learned good agroforestry techniques, seed propagation, pest control, and seedling management techniques.

This building block is to explain how I developped an App that allow fishers to contribute to marine science knowledge in Africa. 

Initially we gave fishers a pre-printed form to report opportunistic sightings they encountered. However, the form was getting lost most of the time. 

We decided to move to a digital solution. The existing App by then required internet to work and was just too complicated for fishers. So we thought we shoud develop an App that will be more userfriendly for fishers. 

We wrote the  algorithm (workflow) of the App and then contracted an Indian development company to write the code. 

Later we had to bring the development of SIREN back to Cameroon to reduce the cost of developement. 

We work with volunteer around the world that will continuously support with the development of the SIREN

This building block emphasizes the importance of training students and local actors in advanced technologies for conservation purposes. In Bio-Scanner, students from the Universidad Politécnica de Yucatán  are trained in using AI algorithms, camera-trap data processing, and decision-support tools, fostering a new generation of professionals equipped to address biodiversity challenges.

This building block focuses on the creation of a web-based platform that serves as the core tool of Bio-Scanner. The platform is designed to centralize biodiversity data by allowing users to upload, access, and analyze information related to jaguar distribution and other species. The dashboard facilitates collaborative data integration, making it accessible to researchers, conservation practitioners, and decision-makers. By feeding this information into the algorithm, the platform helps refine predictions on species distribution, population dynamics, and behaviors.

Dynamic risk maps, built using GIS and geospatial analysis, identify high-risk areas and guide resource allocation. This tool can be used for urban planning, disaster risk reduction, or managing natural resources like water or land.

Whale-watching tour operators

SMART Conservation Tool software

Once plants have been collected, they are transferred to our nursery for propagation. We are seeing increased effectiveness of these methods with freshly collected seeds and cuttings.