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ArticleForest natural resource management and non-timber forest products as nature-based solutions for climate adaptation, ecosystem restoration and poverty alleviation in Mali– a case study
XV World Forestry Congress, 2-6 May 2022
2022Also available in:
No results found.Climate change, nature loss and poverty are major intertwined crises that mutually reinforce each other. This is particularly true for smallholder farmers in Africa’s drylands: they are the hardest hit by the climate crisis, which contributes to the degradation of the land upon which their livelihoods depend. Further pushed into poverty, rural people are forced to resort to unsustainable land practices for survival, feeding the cycle of environmental degradation and climate change. Intertwined crises need integrated approaches, such as nature-based solutions (NbS) that protect natural ecosystems and address societal challenges. Tree Aid works in Africa’s drylands to unlock the potential of trees to tackle poverty and improve the environment. Here, we present a quantitative NbS case study looking at the impacts of the adoption of forest natural resource management (NRM) and increased production of non-timber forest products (NTFPs) among smallholder farmers in the Segou region in Mali between July 2017 and July 2020. This project was a partnership between Tree Aid, the UK funded Darwin Initiative and local partner Sahel Eco.Its socioeconomic impact was evaluated with focus group discussions, baseline and endline assessments using the Rural Household Multi-Indicator Survey (RHoMIS) (https://www.rhomis.org/). Ecosystem restoration impacts were assessed by ecological surveys and data from permanent monitoring plots.We demonstrate that NRM and NTFPs delivered positive outcomes for people (reduction of project population living below the poverty line), biodiversity (+20,404ha of land under improved management), and climate (improved climate resilience through better access to natural resources). This evidences the viability of high-quality NbS in Africa’s drylands and calls for greater long-term restoration investment and deployment in the region informed by and delivered through local communities and organisations. Keywords: NbS, NTFPs, NRM, Mali, forest governance ID: 3622597 -
Brochure, flyer, fact-sheetConserving Biodiversity and Commercializing Non-timber Forest Products in Venezuela’s Caura Basin
Case studies on Remuneration of Positive Externalities (RPE)/ Payments for Environmental Services (PES) Prepared for the Multi-stakeholder dialogue 12-13 September 2013 FAO, Rome
2014Also available in:
No results found.The CI- Givaudan agreement is a business-to-business operator that does not face the same consumer pressures, and consequently regards its engagement less as a CSR activity but more as an investment in ensuring quality supply of an important natural ingredient. -
ArticleThe use of Normalized Difference Vegetation Index (NDVI) to assess urban forests dynamics in West Africa: A case study of Mbao Classified Forest, Dakar (Senegal)
XV World Forestry Congress, 2-6 May 2022
2022Also available in:
No results found.Mbao Classified Forest is the largest urban forest in Dakar. It covers an area of 720 hectares and is the most important green lung of the city. This forest plays a key role in terms of carbon storage and sequestration, air pollution removal, and more generally in ecosystem services provision. Hence it is urgent to monitor the dynamic of this forest over the past twenty years (1998-2018) because a lot of infrastructures including a water pumping station and a highway were established inside during this period. These installations make it subject to encroachments and the risk of depletion that could compromise its existence. The aim of this this paper is to assess urban forest dynamics using artificial intelligence and vegetation indices. To achieve this goal the first step is to perform a forest inventory. We opted for a sampling rate of 0.5%. The area of a plot in the i-Tree Eco inventory is 391 m2 with a radius of 11.16 m, which resulted in a total number of 90 plots. The variables measured for each tree are D.B.H, total height, crown width. The allometric equations were used to compute the above-ground biomass. The NDVI of every plot was computed from Landsat datasets followed by the development of a linear regression model with NDVI as the independent variable and biomass as the dependent variable. Landsat imagery enables the NDVI computation of each plot during the twenty past years and using the regression model, the biomass was determined over this period. Our results provide a sound basis to advocate the safeguarding of Mbao Classified Forest. Keywords: Urban forest, biomass, NDVI, inventory. ID: 3621874
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