References of "Munyemba Kankumbi, François"
     in
Bookmark and Share    
Peer Reviewed
See detailInterprétation paysagère du processus d’urbanisation à Lubumbashi (RD Congo): dynamique de la structure spatiale et suivi des indicateurs écologiques entre 2002 et 2008
Useni Sikuzani, Yannick; Andre, Marie ULg; Mahy, Grégory ULg et al

in Mahy, Grégory; Colinet, Gilles; Bogaert, Jan (Eds.) Anthropisation au Katanga (in press)

Lubumbashi is one of the fastest growing African cities with annual population growth rates of 5 %. Its urban population growth leads to a rapid urban growth associated with several environmental problems ... [more ▼]

Lubumbashi is one of the fastest growing African cities with annual population growth rates of 5 %. Its urban population growth leads to a rapid urban growth associated with several environmental problems. This study test hypothesis that rapid built-up growth is followed by natural habitats decrease and creates favorable conditions for the spread of Tithonia diversifolia, an invasive specie. From two SPOT satellite images from 2002 and 2008 supported by field visits, seven land cover classes were obtained and the accuracy of the classification was verified. Landscape dynamic has been demonstrated through a transition matrix, by calculating spatial pattern metrics and identification of spatial transformation processes. The results obtained show that built-up covering 32 % of the landscape in 2008 against 22.6 % of the landscape in 2002. Its growth, followed by Tithonia diversifolia and anthropogenic vegetation, operates to the detriment of natural classes. The effect of human impact was translated by the increase of disturbance index which increased from 1.9 to 3.3 in six years, confirming that in the study area, natural classes are removed parallel to aggregation and creating of anthropogenic classes. The study area has undergone significant changes related to urban growth, which implies establishing efficient urban planning and management policies to reverse this trend. [less ▲]

Detailed reference viewed: 56 (13 ULg)
Full Text
Peer Reviewed
See detailTermite mound identification through aerial photographic interpretation in Lubumbashi , Democratic Republic of the Congo : methodology evaluation
Vranken, Isabelle ULg; Adam, Marielle; Mujinya Baziraké, Basile et al

in Tropical Conservation Science (2014), 7(4), 733-746

Les termites des régions tropicales sont d’une importance critique pour le fonctionnement et les services écosystémiques dans les régions de forêt claire et de savane. Les termitières peuvent également ... [more ▼]

Les termites des régions tropicales sont d’une importance critique pour le fonctionnement et les services écosystémiques dans les régions de forêt claire et de savane. Les termitières peuvent également être utilisées comme engrais et bio-indicateurs de perturbations anthropiques telles que l’agriculture ou la production de charbon. La télédétection peut contribuer à identifier et caractériser la densité et la distribution des termitières à moindres frais. Afin de tester son efficacité, les termitières ont été identifiées sur le terrain et comparées avec les résultats d’interprétation de photographies aériennes Google Earth en libre accès. Cette comparaison a été appliquée sur 17 sites dans l’hinterland de la ville minière de Lubumbashi, Katanga, République Démocratique du Congo, confrontée à une croissance élevée de population, à l’insécurité alimentaire ainsi que d’intenses fragmentation et dégradation de la couverture originelle de forêt claire (Miombo). Les influences de la hauteur et du diamètre des termitières ainsi que de la période d’acquisition de l’image (année et saison) ont été testées statistiquement. Le nombre de termitières observées sur le terrain est généralement surestimé sur l’image. La hauteur et la saison des pluies en favorisent l’identification correcte, tandis que la distribution spatiale n’est pas significativement influencée par les erreurs d’identification. Un modèle correctif a été défini et sa pertinence statistiquement vérifiée. L’identification des termitières via Google Earth s’avère efficace tant que la position précise de chaque termitière n’est pas requise. Cette approche constitue une réduction considérable des coûts de missions de terrain liées aux études sur les termitières. [less ▲]

Detailed reference viewed: 63 (4 ULg)
Full Text
Peer Reviewed
See detailThe spatial footprint of the non-ferrous metal industry in Lubumbashi
Vranken, Isabelle ULg; Munyemba Kankumbi, François; Amisi Mwana, Yamba et al

in Tropicultura (2013), 31(1), 20-27

In the south-eastern part of the Katanga Province (Democratic Republic of the Congo), high concentrations of copper and cobalt are found in the soils of the well-known “Copper Belt”. Due to the dominant ... [more ▼]

In the south-eastern part of the Katanga Province (Democratic Republic of the Congo), high concentrations of copper and cobalt are found in the soils of the well-known “Copper Belt”. Due to the dominant south-eastern winds, the metallurgic industry in Lubumbashi has been the source of spatially concentrated atmospheric deposits of non-ferrous metal particles and associated substances in a cone-shaped zone, situated north-west of the metal processing site. The existence of this zone has been evidenced using two different techniques: firstly, by means of landscape metric comparisons of the vegetation and bare soil patterns in two study areas, one inside the pollution cone and one outside; secondly, by means of the theory on city perception developed by Kevin Lynch. Higher fragmentation and lower vegetation presence were observed inside the pollution cone, reflecting the negative impact of atmospheric deposits. Those differences were higher for sites closer to the emission source. Lynch’s approach outlined the negative impact of diverse industrial plants on the perception by the local population. Six pollution districts and several contaminated paths, limits, nodes and polluting landmarks were identified. Citizens even recognize them as part of the collective image of the city. [less ▲]

Detailed reference viewed: 156 (30 ULg)