GIS Based Analysis of Biophysical and Socio - Economic Factors for Land Degradation in Kandaketiya DS Division

<p>Soil erosion is one of the major factors that contributes to land degradation in the up and mid country of Sri Lanka. It is important to assess the rate of soil erosion under different environmental and socio-economic contexts to identify and apply suitable management interventions. A numbe...

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Main Authors: KDBL Jayarathne, NDK Dayawansa, RP de Silva
Format: Article
Language:English
Published: Postgraduate Institute of Agriculture, University of Peradeniya 2011-08-01
Series:Tropical Agricultural Research
Subjects:
Online Access:https://tar.sljol.info/articles/3312
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spelling doaj-2b6d94cbbe954e2fb14edd808e98006e2020-11-25T02:56:05ZengPostgraduate Institute of Agriculture, University of PeradeniyaTropical Agricultural Research1016-14222011-08-0121436136710.4038/tar.v21i4.33122770GIS Based Analysis of Biophysical and Socio - Economic Factors for Land Degradation in Kandaketiya DS DivisionKDBL Jayarathne0NDK Dayawansa1RP de Silva2Postgraduate Institute of Agriculture University of Peradeniya, PeradeniyaDepartment of Agricultural Engineering, Faculty of Agriculture, University of PeradeniyaDepartment of Agricultural Engineering, Faculty of Agriculture, University of Peradeniya<p>Soil erosion is one of the major factors that contributes to land degradation in the up and mid country of Sri Lanka. It is important to assess the rate of soil erosion under different environmental and socio-economic contexts to identify and apply suitable management interventions. A number of parametric models have been developed to predict soil erosion at drainage basins. Yet Universal Soil Loss Equation (USLE) is the most widely used empirical equation for estimating annual soil loss from small agricultural lands. This study was carried out with the objective of developing a land degradation assessment model using a geospatial approach. The study area was Kandaketiya DS division in Badulla district. USLE together with some socio - economic factors were used to develop the model for predicting land degradation. Slope length (L) and slope gradient (S) factors were derived from Digital Elevation Model. Rainfall erosivity (R) factor was determined using a correlation developed for Sri Lanka in a past research. Soil erodibility (K) factor was derived from the soil map. Crop management (C) factor and Erosion control practices (P) factor related to land cover derived from remotely sensed data taken from the literature. Annual soil erosion was computed using the above factors. The computed soil erosion map was coupled with the socioeconomic factors on population density, agricultural land to man ratio, land to man ratio and number of Samurdhi beneficiaries to assess the land degradation severity. The results showed that marginal tea lands are the highest contributor to soil loss in the study area. According to the study, soil erosion and population density contributed more to the land degradation. A strong negative relationship was found between land degradation and land to man ratio.</p> <p>DOI: http://dx.doi.org/10.4038/tar.v21i4.3312</p><p><em>TAR </em>2010; 21(3): 361-367</p>https://tar.sljol.info/articles/3312gis based analysisbiophysical and socio - economic factorsland degradation
collection DOAJ
language English
format Article
sources DOAJ
author KDBL Jayarathne
NDK Dayawansa
RP de Silva
spellingShingle KDBL Jayarathne
NDK Dayawansa
RP de Silva
GIS Based Analysis of Biophysical and Socio - Economic Factors for Land Degradation in Kandaketiya DS Division
Tropical Agricultural Research
gis based analysis
biophysical and socio - economic factors
land degradation
author_facet KDBL Jayarathne
NDK Dayawansa
RP de Silva
author_sort KDBL Jayarathne
title GIS Based Analysis of Biophysical and Socio - Economic Factors for Land Degradation in Kandaketiya DS Division
title_short GIS Based Analysis of Biophysical and Socio - Economic Factors for Land Degradation in Kandaketiya DS Division
title_full GIS Based Analysis of Biophysical and Socio - Economic Factors for Land Degradation in Kandaketiya DS Division
title_fullStr GIS Based Analysis of Biophysical and Socio - Economic Factors for Land Degradation in Kandaketiya DS Division
title_full_unstemmed GIS Based Analysis of Biophysical and Socio - Economic Factors for Land Degradation in Kandaketiya DS Division
title_sort gis based analysis of biophysical and socio - economic factors for land degradation in kandaketiya ds division
publisher Postgraduate Institute of Agriculture, University of Peradeniya
series Tropical Agricultural Research
issn 1016-1422
publishDate 2011-08-01
description <p>Soil erosion is one of the major factors that contributes to land degradation in the up and mid country of Sri Lanka. It is important to assess the rate of soil erosion under different environmental and socio-economic contexts to identify and apply suitable management interventions. A number of parametric models have been developed to predict soil erosion at drainage basins. Yet Universal Soil Loss Equation (USLE) is the most widely used empirical equation for estimating annual soil loss from small agricultural lands. This study was carried out with the objective of developing a land degradation assessment model using a geospatial approach. The study area was Kandaketiya DS division in Badulla district. USLE together with some socio - economic factors were used to develop the model for predicting land degradation. Slope length (L) and slope gradient (S) factors were derived from Digital Elevation Model. Rainfall erosivity (R) factor was determined using a correlation developed for Sri Lanka in a past research. Soil erodibility (K) factor was derived from the soil map. Crop management (C) factor and Erosion control practices (P) factor related to land cover derived from remotely sensed data taken from the literature. Annual soil erosion was computed using the above factors. The computed soil erosion map was coupled with the socioeconomic factors on population density, agricultural land to man ratio, land to man ratio and number of Samurdhi beneficiaries to assess the land degradation severity. The results showed that marginal tea lands are the highest contributor to soil loss in the study area. According to the study, soil erosion and population density contributed more to the land degradation. A strong negative relationship was found between land degradation and land to man ratio.</p> <p>DOI: http://dx.doi.org/10.4038/tar.v21i4.3312</p><p><em>TAR </em>2010; 21(3): 361-367</p>
topic gis based analysis
biophysical and socio - economic factors
land degradation
url https://tar.sljol.info/articles/3312
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