Land Sensitivity Analysis of Degradation using MEDALUS model: Case Study of Deliblato Sands, Serbia

This paper studies the assessment of sensitivity to land degradation of Deliblato sands (the northern part of Serbia), as a special nature reserve. Sandy soils of Deliblato sands are highly sensitive to degradation (given their fragility), while the system of land use is regulated according to the l...

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Main Authors: Kadović Ratko, Bohajar Yousef Ali Mansour, Perović Veljko, Simić Snežana Belanović, Todosijević Mirjana, Tošić Sonja, Anđelić Milosav, Mlađan Dragan, Dovezenski Una
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语言:English
出版: Polish Academy of Sciences 2016-12-01
丛编:Archives of Environmental Protection
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在线阅读:http://www.degruyter.com/view/j/aep.2016.42.issue-4/aep-2016-0045/aep-2016-0045.xml?format=INT
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author Kadović Ratko
Bohajar Yousef Ali Mansour
Perović Veljko
Simić Snežana Belanović
Todosijević Mirjana
Tošić Sonja
Anđelić Milosav
Mlađan Dragan
Dovezenski Una
author_facet Kadović Ratko
Bohajar Yousef Ali Mansour
Perović Veljko
Simić Snežana Belanović
Todosijević Mirjana
Tošić Sonja
Anđelić Milosav
Mlađan Dragan
Dovezenski Una
author_sort Kadović Ratko
collection DOAJ
description This paper studies the assessment of sensitivity to land degradation of Deliblato sands (the northern part of Serbia), as a special nature reserve. Sandy soils of Deliblato sands are highly sensitive to degradation (given their fragility), while the system of land use is regulated according to the law, consisting of three zones under protection. Based on the MEDALUS approach and the characteristics of the study area, four main factors were considered for evaluation: soil, climate, vegetation and management. Several indicators affecting the quality of each factor were identified. Each indicator was quantified according to its quality and given a weighting of between 1.0 and 2.0. ArcGIS 9 was utilized to analyze and prepare the layers of quality maps, using the geometric mean to integrate the individual indicator map. In turn, the geometric mean of all four quality indices was used to generate sensitivity of land degradation status map. Results showed that 56.26% of the area is classified as critical; 43.18% as fragile; 0.55% as potentially affected and 0.01% as not affected by degradation. The values of vegetation quality index, expressed as coverage, diversity of vegetation functions and management policy during the protection regime are clearly represented through correlation coefficient (0.87 and 0.47).
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spelling doaj.art-3e726b0008874627a61036479cb76bba2023-12-02T11:08:53ZengPolish Academy of SciencesArchives of Environmental Protection2083-48102016-12-0142411412410.1515/aep-2016-0045aep-2016-0045Land Sensitivity Analysis of Degradation using MEDALUS model: Case Study of Deliblato Sands, SerbiaKadović Ratko0Bohajar Yousef Ali Mansour1Perović Veljko2Simić Snežana Belanović3Todosijević Mirjana4Tošić Sonja5Anđelić Milosav6Mlađan Dragan7Dovezenski Una8University of Belgrade, Faculty of Forestry, SerbiaUniversity of Belgrade, Faculty of Forestry, SerbiaInstitute of Soil Science, SerbiaUniversity of Belgrade, Faculty of Forestry, SerbiaUniversity of Belgrade, Faculty of Forestry, SerbiaInstitute for Nature Conservation, SerbiaMinistry of Agriculture and Rural Development, MontenegroThe Academy of Criminalistic and Police Studies, SerbiaUniversity of Belgrade, Faculty of Forestry, SerbiaThis paper studies the assessment of sensitivity to land degradation of Deliblato sands (the northern part of Serbia), as a special nature reserve. Sandy soils of Deliblato sands are highly sensitive to degradation (given their fragility), while the system of land use is regulated according to the law, consisting of three zones under protection. Based on the MEDALUS approach and the characteristics of the study area, four main factors were considered for evaluation: soil, climate, vegetation and management. Several indicators affecting the quality of each factor were identified. Each indicator was quantified according to its quality and given a weighting of between 1.0 and 2.0. ArcGIS 9 was utilized to analyze and prepare the layers of quality maps, using the geometric mean to integrate the individual indicator map. In turn, the geometric mean of all four quality indices was used to generate sensitivity of land degradation status map. Results showed that 56.26% of the area is classified as critical; 43.18% as fragile; 0.55% as potentially affected and 0.01% as not affected by degradation. The values of vegetation quality index, expressed as coverage, diversity of vegetation functions and management policy during the protection regime are clearly represented through correlation coefficient (0.87 and 0.47).http://www.degruyter.com/view/j/aep.2016.42.issue-4/aep-2016-0045/aep-2016-0045.xml?format=INTDeliblato sandsland degradationsensitivityMEDALUSGIS mapping
spellingShingle Kadović Ratko
Bohajar Yousef Ali Mansour
Perović Veljko
Simić Snežana Belanović
Todosijević Mirjana
Tošić Sonja
Anđelić Milosav
Mlađan Dragan
Dovezenski Una
Land Sensitivity Analysis of Degradation using MEDALUS model: Case Study of Deliblato Sands, Serbia
Archives of Environmental Protection
Deliblato sands
land degradation
sensitivity
MEDALUS
GIS mapping
title Land Sensitivity Analysis of Degradation using MEDALUS model: Case Study of Deliblato Sands, Serbia
title_full Land Sensitivity Analysis of Degradation using MEDALUS model: Case Study of Deliblato Sands, Serbia
title_fullStr Land Sensitivity Analysis of Degradation using MEDALUS model: Case Study of Deliblato Sands, Serbia
title_full_unstemmed Land Sensitivity Analysis of Degradation using MEDALUS model: Case Study of Deliblato Sands, Serbia
title_short Land Sensitivity Analysis of Degradation using MEDALUS model: Case Study of Deliblato Sands, Serbia
title_sort land sensitivity analysis of degradation using medalus model case study of deliblato sands serbia
topic Deliblato sands
land degradation
sensitivity
MEDALUS
GIS mapping
url http://www.degruyter.com/view/j/aep.2016.42.issue-4/aep-2016-0045/aep-2016-0045.xml?format=INT
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