The objective of this study is to contribute in assessing and monitoring drought’s vulnerability by developing a GIS-based model to determine vulnerable areas to this natural hazard; the model utilizes a series of agricultural, statistical, meteorological and remotely sensed data, using GIS weighed ponderation and multicriteria analysis decision making, with the integration of three components: climatic sensibility, soil sensibility and socioeconomic sensibility. The result is a vulnerability map classified into five classes according to pixel values. Very Vulnerable class forms 19.46% of the study area, vulnerable class forms 32.81% and 21.37% of the area is not vulnerable, the study presents a modeling procedure of which the final results provide to researchers, users and decision makers important information on the environmental situation of the study area, for better prediction, and risk management.

Desert locusts' upsurges can cost heavy economic and agricultural losses and threaten the food security of millions of people over dozens of countries. Therefore, monitoring and spatial delimitation of their habitats are necessary for biological control studies and sampling, especially on large...

The aim of this study is to investigate the Aphids diversity associated with the field and under greenhouse crops in an arid climate in southeastern Algeria (Biskra province). Using yellow basins for the insects sampling, a total of 6683 specimens of aphids were collected and identified into 33...