DECISION SUPPORT SYSTEM FOR ENVIRONMENTAL IMPACT ASSESSMENT IN LANDSCAPE DEGRADATION (CASE STUDY: SHAFARUD WATERSHED IN GILAN PROVINCE OF IRAN)

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AZARI DEHKORDI FOROUD; KHAZAEI NOUSHIN

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Journal: Journal of Environmental Studies Year:2009 | Volume:35 | Issue:51 Page(s): 69-80

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Information Journal Paper

Title

DECISION SUPPORT SYSTEM FOR ENVIRONMENTAL IMPACT ASSESSMENT IN LANDSCAPE DEGRADATION (CASE STUDY: SHAFARUD WATERSHED IN GILAN PROVINCE OF IRAN)

Author(s)

AZARI DEHKORDI FOROUD | KHAZAEI NOUSHIN | Issue Writer Certificate

Keywords

DEGRADATION MODELQ3

LANDSCAPE ECOLOGY METRICSQ3

RAPID ENVIRONMENTAL IMPACT ASSESSMENTQ3

SHAFARUDQ2

GILANQ2

Abstract

Environmental Impact Assessment (EIA) is a critical appraisal of the likely effects of a policy, program, project, or activity on the environment. To assist the decision making authority, assessments are carried out independently of the proponent that may have prepared an environmental impact statement (EIS). Sometimes impact assessing methods, proposed alternatives, plans and the development of policy are against each other. Although EIA and environmental economical theories are useful facilities to measure the environmental capacities, the results are not always effective because of the measurement of quality. A Decision Support Systems (DSS) is a useful instrument for solving these problems. DEGRADATION MODEL, as a Decision Support Systems, was first introduced in Iran.In this research, spatial data such as topography, hydrologic network, roads network in 1:25000 scale and land use in the 1:50000 scales are employed. Moreover, the physical landscape metrics are used to execute the human activities intensity.The landscape degradation is:LD=SI/ViWhere LD is equal to degradation coefficient of landscape compartments, SkI is the index of intensity of human activities in landscape working units, (I is the indicator of metrics and k is intensity of them) V stands for habitat vulnerability.According to McGarigal and Marks (1995), the list activities in landscape DEGRADATION MODEL is as follow: Number of Patches in landscape (NumP), Median Patch Size (MedPS), Total Edge (TE), Edge Density (ED), Mean Patch Fractal Dimension (MPFD), Shannon's Diversity index (SDI) and Mean Shape Index (MSI). Landscape ecological metrics are useful instrument to interference ecology in planning and they help to measure the quantity of landscape processes. At first, all the landscape metrics should be determined for each sub watershed and then the scope of each metric in each sub watershed will be categorized based on the median. The median is a number that divides data into equal parts. In other word, it shows which part is the bigger 50%, and which part is the smaller than 50%. To achieve this, Excel program is used. In the next step, the total metrics is considered as collection of landscape degradation activities. Activities are categorized in terms of quality in 4 classes: Code (1) Insignificant degradation, Code (2) Medium degradation, Code (3) Intense degradation, Code (4) high intense degradation.After comparing activities intensity (different metrics) with median scale, the intensity of each activity has been determined in working unit.One method to determine vulnerability is quantitative landscape by extracting, landscape metrics. Based on ecological landscape principals, when number of patches in ecosystem is fewer or when there is equal in land use in an ecosystem or sub watershed, the ecosystem is exposed to much less vulnerability. The number of patches in landscape (Nump) is used to determine the ecological vulnerability. Table I shows the level of vulnerability in SHAFARUD watershed. Table1: Vulnerability level in SHAFARUD landscape Vulnerability scope (NumP) Vulnerability level 6.9>I1 6.9>12³8.5 8.5>13³17.75 I4³17.75 Resistant Semi-critical Critical Vulnerable To apply the landscape DEGRADATION MODEL we considered SHAFARUD watershed that is located in GILAN. Figure 1 Show the study area. … Table 1 shows degradation scope in SHAFARUD watershed based on development & protection ratio according to the fuzzy logic classification. In chart 1 the Hierarchy of degradation in each sub watershed shown.It aims to show those classes to which LD belongs and to show the degradation which belongs to that special class. …After computation of landscape DEGRADATION MODEL, subwatershed 25, 26 and 27 are the maximum number of degradation. In this study, the satellite data, length of road, slope and number of patches are correlated and the data is extracted from landscape DEGRADATION MODEL. These correlation illustrated that the red class in imaging data is accomplished the highest correlation with degradation (R2=0.61).

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References

RESTORATION OF GILAN FOREST BY USING LANDSCAPE ECOLOGY APPROACH CASE STUDY: (SHAFAROD WATERSHED)

Cite

APA: Copy

AZARI DEHKORDI, FOROUD, & KHAZAEI, NOUSHIN. (2009). DECISION SUPPORT SYSTEM FOR ENVIRONMENTAL IMPACT ASSESSMENT IN LANDSCAPE DEGRADATION (CASE STUDY: SHAFARUD WATERSHED IN GILAN PROVINCE OF IRAN). JOURNAL OF ENVIRONMENTAL STUDIES, 35(51), 69-80. SID. https://sid.ir/paper/3002/en

Vancouver: Copy

AZARI DEHKORDI FOROUD, KHAZAEI NOUSHIN. DECISION SUPPORT SYSTEM FOR ENVIRONMENTAL IMPACT ASSESSMENT IN LANDSCAPE DEGRADATION (CASE STUDY: SHAFARUD WATERSHED IN GILAN PROVINCE OF IRAN). JOURNAL OF ENVIRONMENTAL STUDIES[Internet]. 2009;35(51):69-80. Available from: https://sid.ir/paper/3002/en

IEEE: Copy

FOROUD AZARI DEHKORDI, and NOUSHIN KHAZAEI, “DECISION SUPPORT SYSTEM FOR ENVIRONMENTAL IMPACT ASSESSMENT IN LANDSCAPE DEGRADATION (CASE STUDY: SHAFARUD WATERSHED IN GILAN PROVINCE OF IRAN),” JOURNAL OF ENVIRONMENTAL STUDIES, vol. 35, no. 51, pp. 69–80, 2009, [Online]. Available: https://sid.ir/paper/3002/en

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