Togo is one of the countries characterized by the highest deforestation rate in the world, caused mainly by the overexploitation of domestic biomass energy. Uapaca togoensis being one of the species appreciated for its strong calorific power, is increasingly overexploited, and its rarefaction in the Togolese forest landscapes becomes worrying hence the need to conduct this study to evaluate the possibilities of its vegetative reproduction. This study contributes to the sustainable development of natural resources by determining the optimal conditions for assisted regeneration of Uapaca togoensis. The approach consisted in conducting a series of nursery trials to determine the impact of the substrate, size of cuttings, sunlight, and apical tip coverage of the plastic film on its germination and budburst capacity. The lower calorific value is determined from samples in dry wood slices of 350g to 500g in five diameter classes. After 33 days, only one unscarred seed germinated in the compost. Substrate type, diameter of cuttings, sunlight, and plastic film significantly influenced the budburst rate and delay. More than 70% of the medium-diameter segments budded compared to 60% and 50% for small and large-diameter segments. More than 80% of the segments exposed to sunlight budded compared to 60% for the shaded segments. The average lower calorific value of dry wood of Uapaca togoensis varies between 7.35 Mj/Kg and 12.12 Mj/Kg depending on the humidity rate and the diameter.

In the context of climate change, the need for stakeholders to contribute to achieving SDG2 is no longer in doubt especially in sub-Saharan Africa. In this study of the landscape within 10 km of the Donomadé model farm, southeastern Togo, we sought to assess vegetation health in ecosystems and agrosystems, including their capacity to produce biomass for agroecological practices. Sentinel-2 sensor data from 2015, 2017, 2020, and 2022 were preprocessed and used to calculate normalized vegetation fire ratio index (NBR), vegetation fire severity index (dNBR), and CASA-SEBAL models. From these different analyses, it was found that vegetation stress increased across the landscape depending on the year of the time series. We estimated that 9952.215 ha, 10,397.43 ha, and 9854.90 ha were highly stressed in 2015, 2017, and 2020, respectively. Analysis of the level of interannual severity revealed the existence of highly photosynthetic areas which had experienced stress. These areas, which were likely to have been subjected to agricultural practices, were estimated to be 8704.871 ha (dNBR2017–2015), 8253.17 ha (dNBR2020–2017), and 7513.93 ha (dNBR2022–2020). In 2022, the total available biomass estimated by remote sensing for was 3,741,715 ± 119.26 kgC/ha/y. The annual average was 3401.55 ± 119.26 kgC/ha/y. In contrast, the total area of healthy vegetation was estimated to be 4594.43 ha, 4301.30 ha, and 4320.85 ha, in 2015, 2017, and 2022, respectively. The acceptance threshold of the net primary productivity (NPP) of the study area was 96%. The coefficient of skewness (0.81 ± 0.073) indicated a mosaic landscape. Productive and functional ecosystem components were present, but these were highly dispersed. These findings suggest a great opportunity to promote agroecological practices. Mulching may be an excellent technique for enhancing overall ecosystem services as targeted by the SDGs, by means of reconversion of plant biomass consumed by vegetation fires or slash-and-burn agricultural practices.