摘要
This aim of this study is to highlight the critical view of human action and anthropic at the steppe zone of Tlemcen. Therefore, the current paper tends to tackle an analytical study of the dynamics of ecosystems in both states: El-Gor in the south-east and El-Bouihi in the southern-west of Tlemcen. To carry out this study it was necessary to present the bioclimatic context based on weather data to perform bioclimatic syntheses (diagram ombrothermic, climagramme rainfall Emberger). By comparison between old and recent periods (1913-1938) and (1984-2009), respectively, for the region of El-Gor and (1913-1938) and (1970-1990) for the El station-Bouihi, there is a net decrease in rainfall and higher temperatures at the new periods, which means that the study areas are moving towards the driest floors. The interpretation of multidimensional treatments AFC (Factor Analysis of Correspondences) vegetation helps to determine the existing affinities between the different taxa. These biostatistical analyses help to highlight the different factors often responsible for the dynamic regressive most cases.
This aim of this study is to highlight the critical view of human action and anthropic at the steppe zone of Tlemcen. Therefore, the current paper tends to tackle an analytical study of the dynamics of ecosystems in both states: El-Gor in the south-east and El-Bouihi in the southern-west of Tlemcen. To carry out this study it was necessary to present the bioclimatic context based on weather data to perform bioclimatic syntheses (diagram ombrothermic, climagramme rainfall Emberger). By comparison between old and recent periods (1913-1938) and (1984-2009), respectively, for the region of El-Gor and (1913-1938) and (1970-1990) for the El station-Bouihi, there is a net decrease in rainfall and higher temperatures at the new periods, which means that the study areas are moving towards the driest floors. The interpretation of multidimensional treatments AFC (Factor Analysis of Correspondences) vegetation helps to determine the existing affinities between the different taxa. These biostatistical analyses help to highlight the different factors often responsible for the dynamic regressive most cases.
