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Mapping landscapes: Integrating GIS and social science methods to model human-nature relationships in Southern Cameroon

Abstract

Participatory mapping and GIS are both necessary to model the interactions between humans and their environment. A case study from the forest margin in the Congo Basin demonstrates how data from participatory community mapping and other social science methods can be prepared for quantitative modelling. This approach bridged the gap between spatial modelling data and social decision-making in space by elaborating a geographically consistent social representation of the landscape and giving a geographical base to the connection between land use, its cultural representation, and its social management. This was achieved through an iterative process of GIS cartography, using feedback from village informants and field checking, to transpose the spatial references from participatory mapping sketches into reliable geographic locations. As well as demonstrating the utility of such data for modelling, this work clarified the distribution of land rights among the six main owner-clans spread through the eight hamlets in the watershed. The ‘basin’ of spatial resources and its relation to the rules of land use and natural resource management were defined for each clan. Land-use systems at the forest-agriculture interface in the study area proved to be complex, strongly driven by social rules and influenced by history and settlement strategies. These social and historical aspects established the framework within which communities make current decisions and interventions.

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References

  1. Alexandre, P. (1965), ‘Protohistoire du groupe Béti-Fang: Essai de systématisation,’Cahiers d’Études Africaines, 5:503–560.

    Article  Google Scholar 

  2. Byers, B.A. (1997), ‘Demarche pur comprendre a influencer les comportements a l’egard de la conservation et de la gestion des resources naturelles,’ Bullettins sur la Biodiversitè Africaine No. 4, Biodiversity Support Programme, Washington DC.

    Google Scholar 

  3. Diaw, M.C. (1997), ‘Si, Nda Bot andAyong: Shifting cultivation, land-use property rights in the South of Cameroon’, Network Paper 21e, ODI Rural Development Forestry Network, London.

    Google Scholar 

  4. Diaw, M.C., Oyono, P.R., Sangkwa, F., Bidja, C., Efoua, S. and Nguiebouri, J. (1998), ‘Social science methods for assessing criteria and indicators of sustainable forest management: A report of the tests conducted in the Cameroon humid forest benchmark and in the Lobe and Ntem River Basins,’ unpublished report, CIFOR, Bogor.

    Google Scholar 

  5. Diaw, M.C. and Oyono, P.R. (1998), ‘Dynamiques et représentations des espaces forestiers au Sud Cameroun: Pour une relecture sociale du paysages,’Arbres, Forêts et Communautés Rurales, 15/16: 36–43.

    Google Scholar 

  6. Egenther, C. (2000), ‘Mapping people’s forests: The role of mapping in planning community-based management of conservation areas in Indonesia,’ Biodiversity Support Program, Washington DC.

    Google Scholar 

  7. GFW (Global Forest Watch) Cameroon (2001), ‘An overview of logging in Cameroon’, http://www.globalforestwatch.org/common/cameroon/english/report.pdf, accessed 25 March 2003.

  8. Gockowski, J., Baker, D., Tonye, J., Weise, S., Ndoumbè, M., Tiki-Manga, T., Fouaguèguè, A. and Tchienkoua, M. (1998), ‘Characterization and diagnosis of farming systems in the Forest Margins Benchmark of Southern Cameroon’, Unpublished report for the Alternatives to Slash and Burn Program, Yaounde, Cameroon.

  9. Hauser, S. and Norgrove, L. (2001), ‘Slash and burn agriculture’,Encyclopedia of Biodiversity, Volume 5, Academic Press, San Diago.

    Google Scholar 

  10. Legg, C. (2003), ‘CamFlores: A FLORES-type model for the humid forest margin in Cameroon’,Small-scale Forest Economics, Management and Policy, 2(2): 211–224.

    Google Scholar 

  11. Short, C. (1994), ‘Land tenure and slash and burn agriculture in the humid forest zone of Cameroon’, Manuscript, IITA/ASB.

    Google Scholar 

  12. Van den Berg, J. and Biesbrouck, K. (2000), ‘The social dimension of rainforest management in Cameroon: Issues for co-management’, The Tropenbos-Cameroon Programme, Kribi, Cameroon.

    Google Scholar 

  13. Vanclay, J.K. (2003), ‘Why model landscapes at the level of households and fields?’,Small-scale Forest Economics, Management and Policy, 2(2): 121–134.

    Google Scholar 

  14. Vansina, J. (1990),Paths in the Rainforests: Towards a History of Political Tradition in Equatorial Africa, University of Wisconsin Press, Madison.

    Google Scholar 

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Correspondence to Valentina Robiglio.

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The authors thank the people of Akok for their collaboration and hospitality. Village technician Michel Engueng and village contact Adolphe Ze facilitated and assisted this work. Our thanks also to Julie Mbazo’o and Remy Assoumou, both members of the ‘social side’ working group of the FLORES modelling team. Christopher Legg’s contribution to the discussion of this work through his constant reviewing of the CamFlores model is gratefully recognized. Finally, thanks to the whole CIFOR-ACM team for numerous scientific and methodological inputs. The Italian Foreign Ministry funded the work of Valentina Robiglio (APO-GIS specialist) through an APO contract with IITA. The European Union (Tropical Forestry budget line DG VIII) contributed to the CIFOR’s research program on the ‘Adaptive Collaborative Management of Forests’ (ACM) in Africa, and to the Alternative to Slash and Burn (ASB) program in Cameroon on ‘Environmental Services and Rural Livelihoods’ through the World Agroforestry Centre.

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Robiglio, V., Mala, W.A. & Diaw, M.C. Mapping landscapes: Integrating GIS and social science methods to model human-nature relationships in Southern Cameroon. Small-scale Forestry 2, 171–184 (2003). https://doi.org/10.1007/s11842-003-0014-6

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Keywords

  • participatory mapping
  • geographic information systems (GIS)
  • FLORES
  • Congo
  • Cameroon