memoire_etudiants.pdf

Identifying pitfalls and key success factors for mangrove replanting in the Gambia Anne Sandbrink BSc Stefan van Meijeren BSc Utrecht University 28 September 2010 Identifying pitfalls and key success factors for mangrove replanting in the Gambia Written by Anne Sandbrink BSc A.M.Sandbrink@students.uu.nl Master Natural Resources Management, Graduate School of Life Sciences Utrecht University, Padualaan 8, 3584 CH, Utrecht, The Netherlands Stefan van Meijeren BSc S.vanmeijeren@students.uu.nl Master Environmental Biology Graduate School of Life Sciences Utrecht University, Padualaan 8, 3584 CH, Utrecht, The Netherlands Internal Supervisor Dr. G.W. 1 Alkalo: Village Head 11 The interview framework (Appendix B) included the following focal points:  The intrinsic and practical value of the forest for the local community  The forest products that were extracted (purposes and quantity)  The awareness that was present about the function of and threat to the forest  The perception of and participation in the replanting project  The importance of the apiculture and improved salt production techniques training  The power‐ and profit distribution amongst community members 12 The ecological aspects: Results At each replanted site in Bali Mandinka and Buram, transects were drawn through both the replanted area and a reference area. Embedding of the Wetlands International replanting project within the community Community Participation and Decision‐making As the ecological factors and the causes of degradation play an important role in the replanting projects, also the organization behind the replanting activities can influence the success of the projects. Awareness about ecological functions mangrove forest Use of mangrove wood Use of non‐timber products Community participation Democratic decision making process Replanting techniques Salt production and apiculture Bookkeeping Bali Mandinka Buram ‐‐ + ‐‐ + / ‐ + / ‐ + + + + + / ‐ + + + / ‐ + + + + + + + + + 22 The ecological aspects: Discussion Redox potential and Salinity The Canonical Correspondence Analysis (CCA) of all explanatory variables showed that a total 51.5 % of data variance was explained by the two ordination axes.