Risk Assessment of Vegetation Degradation Using GIS | ||
| Journal of Agricultural Science and Technology | ||
| Article 21, Volume 16, Issue 7, 2014, Pages 1711-1722 PDF (490.02 K) | ||
| Author | ||
| M. Masoudi* | ||
| Department of Natural Resources and Environment, College of Agriculture, Shiraz University, Islamic Republic of Iran. | ||
| Abstract | ||
| The entire land in the Southern Iran faces problems arising out of various types of land degradation, of which the vegetation type forms one of the major ones. The Payab basin (522,470 ha), which covers the lower reaches of Mond River, was chosen for a test risk assessment of this type. The different kinds of data for indicators of vegetation degradation were taken from the records and published reports of Iran governmental offices. A new model was developed for assessing the risk of vegetation degradation. Taking into consideration nine indicators of vegetation degradation, the model identifies areas with ‘Potential Risk’ (risky zones) and areas of ‘Actual Risk’ projecting the probability of the worse degradation in future. The preparation of risk maps, based on the GIS analysis of these indicators will be helpful for prioritizing the areas to initiate remedial measures. A hazard map for each indicator was first prepared in GIS by fixing the thresholds of severity classes of the indicators. The risk classes were defined on the basis of risk scores arrived at by assigning the appropriate attributes to the indicators and the risk map prepared by overlaying some nine hazard maps in the GIS. Areas under actual risk were found to be widespread (93%) in the basin and when the risk map classified into subclasses of potential risk with different probability levels the model would project a statistical picture of the risk of vegetation degradation. | ||
| Keywords | ||
| Actual risk; GIS; indicator; Potential risk; Vegetation degradation | ||
| References | ||
|
| ||
|
Statistics Article View: 110 PDF Download: 86 |
||
| Number of Journals | 45 |
| Number of Issues | 2,171 |
| Number of Articles | 24,674 |
| Article View | 24,443,869 |
| PDF Download | 17,553,733 |