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000000331 020__ $$a   90-6164-233-7
000000331 041__ $$aEnglish
000000331 100__ $$aYemefack, M.
000000331 245__ $$aModelling and monitoring soil and land use dynamics: within shifting agricultural landscape mosaic systems
000000331 260__ $$c2005
000000331 260__ $$bInternational Inst. for Aerospace Survey and Earth Sciences - ITC, Enschede
000000331 300__ $$a194
000000331 502__ $$aThesis (Ph. D.) - Utrecht University, Enschede, The Neatherlands
000000331 520__ $$aThis research provides quantitative information on short and long-term effects of shifting  agriculture on soil and spatial pattern of landscape mosaic dynamics in southern Cameroon.  An analysis of this farming system led to the development of a conceptual model of the  spatio-temporal dynamics of shifting agriculture, including transition matrices of rotational  cycles. Geostatistical characterization of soil variability in the area showed that soil  properties are highly spatially dependent even at plot level, with significant sensitivity to  soil-forming factors that explained 30 to 70% of the total variation in the subsurface. Shifting  agricultural land use practices accounted for 30 to 35% of the variation of topsoil. A robust  quantitative multi-criteria method was developed for quantifying and selecting soil  variables that are the most sensitive to these agricultural practices (in this case: pH, calcium,  phosphorus, bulk density, organic carbon), considered as the minimum data set (MDS) for  characterizing soil conditions in the area. Empirical models of linear/quadratic fractional  rational functions were successfully fitted to time series data of these MDS variables to  derive quantitative measures on temporal changes in soil with land use. Multi-spectral  satellite imagery was able to map with 80%  accuracy the extension front of shifting  agricultural landscape and the most dynamic land cover types (crop fields, young fallows),  which shift every season and every year. The  research has produced a set of data and  methods that can be used in combination with rare cloud-free satellite images for spatiotemporal simulation modelling of landscape dynamics in order to guide decision-making on  agricultural development, land allocation for land use planning and forest resources  management
000000331 653__ $$aAgriculture in general
000000331 653__ $$aCameroon
000000331 653__ $$aAgricultural development
000000331 653__ $$aAgricultural production
000000331 653__ $$aAgricultural technology
000000331 653__ $$aDeforested land
000000331 653__ $$aFarming systems
000000331 653__ $$aLandscape
000000331 653__ $$aShifting cultivation
000000331 653__ $$aSoil erosion
000000331 8564_ $$uhttp://www.itc.nl/library/Papers_2005/phd/yemefack.pdf$$yDownload
000000331 980__ $$aTHESIS