A Comprehensive Approach for Modelling Elephant Habitat within the Network of Protected Areas Oti-Keran-Mandouri in Togo (West Africa)

The network of protected areas Oti-Keran-Mandouri (OKM) is part of one of the most important ecogeographical region for the African savannah elephant conservation in West Africa. However, OKM is under high anthropogenic pressure but it is still considered as a first priority corridor for elephant migration. Therefore a comprehensive suitability model was developed in a GIS environment to identify remaining suitable patch of habitat. Considering the ecology of the African Savannah elephant, criteria such as pound thickness, distance to rivers, distance to roads, distance to settlements, Digital Elevation Model (DEM) and the Normalized Difference Vegetation Index (NDVI) were standardized using appropriate fuzzy membership functions and sum overlaid. A set of elephant occurrence data from park managers and from casual sighting was used as test data. About 29.01 % of the area of OKM was classified as suitable habitat whereas 60.84 % and 10.14% were respectively considered as somewhat and less suitable habitats. About 36.5% of the occurrence data felt in the suitable area while 62.16% in the somewhat suitable area. Forest lands were the main contributor to the suitable habitat whereas others land cover types (savannahs, wetlands and croplands) contributed mostly to the somewhat suitable habitat (60.97% to 63.43%). The Habitat Unit Index (HUI) for suitable habitat shows that forests are the most preferred vegetation type (0.49) followed by wetlands (0.32) and savannah (0.31). Despite the high anthropogenic pressure on OKM, there are still potential suitable patches of elephant habitat. Improvement of management and restauration activities could enable OKM to play a key role in biodiversity conservation in West Africa by allowing the seasonal migration of elephants. This study gives an insight on the availability of suitable habitat within OKM, however, further investigation is needed to refine the model and to assess habitat fragmentation.