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Plant diversity in different bioclimatic zones in Tunisia
유하나,진혜영,Abdelhamid Khaldi,곽명자,이태윤,Inkyin Khaine,장지휘,이현경,Iereh Kim,안태현,송정화,송유진,Ali Khorchani,Boutheina Stiti,우수영 국립중앙과학관 2016 Journal of Asia-Pacific Biodiversity Vol.9 No.1
The Republic of Tunisia, located in northern Africa, faces various environmental challenges caused by anthropogenic practices such as overgrazing, deforestation, and desertification. The conversion of natural ecosystems is the major cause of plant biodiversity loss. Tunisia can be divided into three main climatic zones as follows: a northern Mediterranean climate zone, a central steppe climate zone, and a southern desert climate zone. Because of this great environmental diversity, there are distinctive vegetation and various genetic resources in Tunisia. This research was conducted to investigate plant biodiversity within the various bioclimatic zones and to characterize useful plant resources in Tunisia. We investigated native, medicinal and aromatic, desert, and soil erosion control plant species.
박태진,이우균,우수영,유성진,곽두안,Boutheina Stiti,Abdelhamid Khaldi,Xu Zhen,권태협 한국산림과학회 2011 Forest Science And Technology Vol.7 No.2
Understanding the patterns of land-cover change for biodiversity and ecology system function has been important in landscape ecology. The objective of this study was to analyze land-cover change in the Ain Snoussi area of northern Tunisia. Landsat MSS/4 and SPOT HRV/3 images were used for the analysis. To classify land-cover type into forest and non-forest area, pixel-based classification and maximum likelihood algorithm were applied to two imageries using supervised classification algorithm. After classification of images, each changed area was calculated. Thereby, analysis of distance roads and topographic factors such as elevation, slope, aspect, and Topographic Wetness Index (TWI) were performed. The results showed that the area changed into non-forest was slightly larger than that into forest. Moreover, most of the changed areas, approximately half of the total changed area, were distributed near the roads. In addition, the change from forest to non-forest area tends to have a negative and positive relationship respectively with elevation and slope. On the other hand, the change from non-forest to forest area showed the tendency to be negative in elevation, slope, and TWI. However, the slope aspect of study area did not have any particular relationship with change tendency. In conclusion, spatial pattern of land-cover change was influenced by the distance from roads and topographic characteristics of target area.