The Integrated Soil Fertility Management Project (ISFM+) is a collaborative initiative focused on enhancing soil fertility, health, and agricultural productivity within the Amhara, Oromia, SNNPR, and Tigray regions of Ethiopia. Recognizing the critical role of soil health in sustainable agriculture, the project champions the adoption of locally adapted and relevant ISFM technologies. These technologies are strategically implemented to achieve several key outcomes: boosting on-farm biomass production, minimizing nutrient and biomass losses from farming systems, and optimizing the efficiency of agricultural inputs.
A distinctive feature of ISFM+ is its integrated approach, which synergistically combines behavioral change communication strategies with farmer-centric soil fertility improvement techniques. This holistic methodology ensures that technological advancements are not only practical and locally appropriate but also effectively communicated and adopted by farming communities. Furthermore, the project addresses the crucial supply chain aspects necessary for the sustainable availability of essential agricultural inputs.
In a significant collaboration, GIZ-Ethiopia has partnered with Wageningen University and Research (WUR) to develop innovative tools that empower stakeholders in the planning, decision-making, monitoring, and impact assessment of Sustainable Land Management (SLM) interventions. A key output of this collaboration is the Dashboard for Impact Assessment and Design (DIAD), a web-based platform designed for comprehensive impact assessments. DIAD leverages landscape-level Key Performance Indicators (KPIs), encompassing physical, agronomic, and socio-economic attributes, with a strong emphasis on utilizing remote-sensing and other remotely acquired data to the greatest extent possible. This advanced monitoring capability allows for a data-driven understanding of the project's impact and facilitates adaptive management strategies for long-term success.
MultiOne was contracted by GIZ-Ethiopia to estimate changes in biomass production and soil erosion over time with 30m spatial resolution for two watersheds (Ale and Sekela).
Biomass estimation was carried out on with data from GLAD dataset (https://glad.umd.edu/ard/home) for every year from 2000 to 2020. Erosion risk is produced for years 2016 to 2021.