IMPACT OF LAND USE/LAND COVER AND CLIMATE CHANGE ON SOIL EROSION IN SILE WATERSHED, LAKE ABAYA-CHAMO SUB BASIN, SOUTHERN ETHIOPIA
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Date
2022-10-25
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Hawassa University
Abstract
The combined impacts of land use and climate change are significantly affecting natural
resources, particularly soil and water ecosystems. Thus, studying the impacts of land
use/land cover (LULC) and climate changes on soil erosion in the Sile River watershed is
very essential for proper natural resource management. In this study, the historical change
of LULC (from 1987-2020), prediction of 2050, the impact of changing LULC & climate on
soil erosion for the years of 1987, 2003, 2020, and future 2050 under two climate scenarios
(RCP4.5 & RCP8.5) were evaluated. The Landsat TM for 1987, ETM+ for 2003, and
Landsat-8 OLI/TIRS for 2020 were used for LULC classification. Supervised image
classification method with maximum likelihood classification (MLC) was applied in the
ERDAS Imagine software. Classified historical LULC map serves as a baseline to predict
2050 LULC with considering different driver variables using Multi-Layer Perceptron
Neural Network and Cellular Automata-Markov Chain Model integrated with TerrSet
software. Daily rainfall data from 1987-2020,102 composited soil samples, ASTER DEM
with a resolution of 30*30-meter and classified LULC map was used for erosivity (R-factor)
estimation, soil erodiblity (K-factor) analysis, topography (LS-factor) computation, and for
both practice (P-factor) and cover (C-factor) determination respectively. In addition, the
ensemble means of four regional climate models (RCMs) rainfall data under two scenarios
(RCP4.5 & RCP8.5) and predicted 2050 LULC map was used to generate R-factor and both
P&C factors respectively for the estimation of 2050 soil loss. A revised universal soil loss
equation model (RUSLE) has been used to compute the above factors in Arc GIS software
to estimate the rate of soil loss. This study revealed that, in both periods from the year 1987-
2003 and 2003-2020, cultivation land, bare land, and banana land cover were expanded at
the expense of shrubland, forest land, grazing land, and water body decline. Sile River
watershed experienced substantial LULC alteration and will also be prolonged for the
coming several years. The mean annual soil loss for the years 1987, 2003, and 2020 were
13.05, 21.04, and 41.41 t-ha−1
year−1
respectively. The lowest mean annual soil loss was
observed in banana land cover and gently slope classes. While highest and severe was
detected on bare land & steep slope classes correspondingly. The average soil loss under
the RCP4.5 and RCP8.5 scenarios with a future 2050 LULC were predicted to be 56.48 t ha−1
year−1
and 57.11 t-ha−1
year−1
then it will be expected to increase 36.40 % and 38.19 %
respectively. LULC, climate change/variability, and the steepness of slope had been believed
to be the leading factors that exacerbated soil erosion in the study area. From the finding of
this study, prioritized sub-watersheds are recommended for land management intervention,
and disseminating banana plantations in the other part of the watershed was suggested.
Additionally, climate change will aggravate the current soil erosion problem and would need
ecological sound conservation policies and strategies to mitigate the adverse impacts of
climate change on soil erosion.
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Keywords
Land use/land cover, Soil Loss, RUSLE Model, Climate Change, Multi-Layer Perceptron Neural Network, Cellular Automata-Markov Chain, Sile
