Water Erosion Monitoring and Prediction in Response to the Effects of Climate Change Using RUSLE and SWAT Equations: Case of R’Dom Watershed in Morocco

Soil erosion is an increasingly issue worldwide, due to several factors including climate variations and humans’ activities, especially in Mediterranean ecosystems. Therefore, the aim of this paper is: (i) quantify predict soil rate for baseline period (2000–2013) a future (2014–2027), using Revised Universal Loss Equation (RUSLE) Water Assessment Tool (SWAT) model R’Dom watershed Morocco, based on opportunities Remote Sensing (RS) techniques Geographical Information System (GIS) geospatial tools. (ii) we classical statistical downscaling (SDSM) rainfall prediction. Due lack field data, results are validated by expert knowledge. As result study, it found that both agricultural lands bare most affected erosion. Moreover, showed was dominated very low Although area continued decrease. Hence, hereby envisage our contribution will provide more complete understanding degradation study research could be crucial reference studies also may serve as valuable guidance management strategies.