Volume 16, Issue 7 (2014)                   JAST 2014, 16(7): 1711-1722 | Back to browse issues page

XML Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Masoudi M. Risk Assessment of Vegetation Degradation Using GIS. JAST 2014; 16 (7) :1711-1722
URL: http://jast.modares.ac.ir/article-23-6948-en.html
Department of Natural Resources and Environment, College of Agriculture, Shiraz University, Islamic Republic of Iran.
Abstract:   (6789 Views)
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.
Full-Text [PDF 490 kb]   (9092 Downloads)    
Article Type: Research Paper | Subject: Range Science
Received: 2012/12/16 | Accepted: 2014/05/28 | Published: 2014/11/1

Add your comments about this article : Your username or Email:
CAPTCHA

Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.