Abstract:
Change in land use and land cover (LULC) is an area of interest in landscape ecology due
to its adverse environmental impacts on wildlife habitats. At local, regional, and global scales, the
fragmentation and obstruction of wildlife corridors has considerably increased over time as a
result of factors connected to land use and climate variables. These environmental changes are a
threat to wildlife and biodiversity conservation, particularly in places where large iconic
mammals are supposed to roam freely. This study was carried out in North-Western Botswana,
in the Chobe enclave, a communally managed area. The enclave is surrounded in the west by the
Chobe National Park, the Namibian border (Cuando-Linyanti River) to the north and east and the
Chobe Forest Reserve in the south. Seasonal flooding of the Cuando-Linyanti River system creates
regular transitions between mesic and the local semi-arid climate, making this floodplain a haven
for wildlife including the big games. Botswana has the highest freely roaming African savannah
elephants’ population in Africa, estimated at 126 000 in 2018 and largest concentrations are
found in the northern part of the country.
There is dearth of knowledge about the impacts of landscape fragmentation on human
elephant interactions in Botswana Particularly in Chobe enclave. Chobe enclave is experiencing
increasing human population and large concentrations of freely roaming elephants. This have
created competition between humans and elephants for space and other resources. It is vital to
comprehend how landscape fragmentation and processes influences elephant’s movements and
ultimately human-elephants conflict especially in ecologically valued areas such as the Chobe
enclave. With knowledge on how LULC dynamics, fragmentation and elephant movements and
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distribution influences one another, possible and informed measures can be proposed to abate
adverse human elephant interaction.
The aim of the study was to characterize and quantify LULC change using Landsat time
series and to assess the influence of landscape fragmentation on human-elephant interaction
(HEI) in the Chobe enclave over a period of 20 years from 2000 until 2020 using landscape
metrics and field evidence information. Multi-temporal satellite imageries for all the study
periods were ordered and downloaded from the USGS webpage at Landsat scene 174/072 and
174/073. Landsat imageries were radiometrically and geometrically corrected for best
classification results. A classification scheme consisting of five LULC classes was established.
The maximum likelihood classifier was employed for supervised classification. Classified maps
accuracy was measured and change detection were performed on classified maps. In accordance
with the purpose of this study, five (5) indices were selected for spatial characterization of the
study area at class and landscape level. Selection of which landscape metrics to use was based
on their ability to act as indicators of landscape change and also on their ability to quantify and
assess landscape fragmentation. Selected indices, class area (CA), number of patches (NP),
largest patch density (LPI), landscape splitting index (LSI) and aggregation (AI) were computed
in a software called FRASTATS. Semi-structured interviews were administered to a total of 57
purposely selected key informants to seek knowledge and validation on LULC and HEI. High
resolution images in Google Earth Pro together with indigenous knowledge were used to
identify and delineate elephant migratory routes in the study area. Human elephant conflict
hotspots (HECH) for the study period 2000, 2020 and indigenous knowledge were derived from
the kernel density estimation. Results from LULC analysis shows that in 2000 the study area was dominated by
Shrubland, 70 383 ha (45.2%) while in 2010 and 2020 LULC dominance shifted to grassland, 44
270 ha (29.5%) and 56 935 ha (31.2%) respectively. Change in the share of land in the study area
is attributed to land use intensification, wild fires, over browsing and vegetation destruction by
elephants and droughts. Landscape fragmentation within elephant habitats and migratory
corridors is a result of land use encroachment thus creating land use conflicts scenarios between
local communities and elephants. Landscape metrics reveals that the study period 2020 has the
most fragmented landscapes with high cases of HEC. The fragmented landscape is characterized
by subdivisions or landscape patches, low aggregation index and high landscape splitting index.
Human elephant conflict hotspots positively correlate with landscape fragmentation. Socio
economic impacts associated with HEIs in the study area includes negative attitude towards
elephants by the enclave residents, indirect financial loss due to elephant crop raiding and
property destruction. The study proposes that wildlife migratory routes in the Chobe enclave be
marked and incorporated in land use plans and zones to avoid further habitat fragmentation and
expansion of land use into them. This could enhance peaceful coexistence between people and
elephants as conflicts would be minimized.