The world is currently marked by increasing pressure on natural resources and a big demand for energy, water, and food. Energy, Water, and food are strongly interlinked, and the choices made in one area often have consequences on the others. These interconnections intensify and will be more complex as the demand for resources increases with climate change, population growth, changing consumption patterns, and a linear economy model of ‘take-make-dispose’. however, a circular economy (CE) ensures that economic growth must not necessarily lead to more resource consumption. This paper aims to discuss the circular economy transition with a focus on understanding the interdependencies and complexities of system Climate-Water, Energy, and food security in Morocco. This work first outlines the problem of water resources management in Morocco and determined the areas of intersection between the food-energy-water sectors. It also attempts to explain why water circularity is part of the key factors to accelerate the transition from a linear economy to a circular economy to meet the Sustainable Development Goals, and how circularity can be implemented in the water sector. Finally, it studies two circular alternative solutions (water-saving - drip irrigation, and renewable energy) that Morocco uses to face climate change-induced water scarcity.

Casablanca, Morocco’s most populous and economically dynamic metropolis, is undergoing rapid and unregulated expansion, leading to accelerated agricultural land artificialization, landscape fragmentation, and growing socio-environmental vulnerability in peri-urban territories. This study investigates the spatio-temporal dynamics of urban expansion within a 40 km buffer around the city, using multi-temporal Landsat imagery (2015–2025), a GIS-based framework, and supervised classification. Four land-cover classes were extracted (urban, vegetation, forest and water) enabling a diachronic comparison of land transformation processes. Two spatial indicators were mobilized to quantify urban dynamics: the Average Urban Expansion Rate (AUER) and the Urban Expansion Intensity Index (UEII). Results reveal that urban areas expanded by up to 387.9% in some communes, with 15 exceeding an AUER of 25% and 17 falling within the “very high development” category based on UEII thresholds. Land artificialization was most intense along southern and southeastern peripheries, notably Deroua, Tit Mellil, Had Soualem, and Sidi Moussa Ben Ali, resulting in severe fragmentation of agricultural land. The classification of communes into four profiles (fast, slow, consolidated, and stable) highlights varying degrees of territorial vulnerability. By integrating demographic trends (2014–2024), the study exposes mismatches between population growth and land consumption, underscoring the urgent need for integrated spatial diagnostics and governance reforms toward sustainable peri-urban land management.

Climate change significantly affects water resources through alterations in rainfall patterns, reduced rainfall quantities, rising temperatures, and prolonged drought cycles. Consequently, the escalating demand for water coupled with diminishing water availability is anticipated to lead to a critical water scarcity issue in the future unless proactive and innovative strategies are implemented.The impact of climate change on water resources is globally recognized as an increasingly vital concern, given its intricate interconnections with various sectors, notably agriculture, energy, and the provision of drinking water. Consequently, the scientific community has dedicated substantial efforts to devise optimal water resource management strategies in response to the challenges posed by climate change. Over the past four decades, hydro-economic models (HEM) have been instrumental in proposing solutions to adapt to evolving climatic conditions.This paper presents a newhydro-economic optimization model accounting for climatic uncertainties. The problem is formulated as a chance-constrained program in which the dependence structure between hydrologic and meteorologic variables is modeled using copula theory. The novelty of the approach lies in the capacity of the model to optimize the water resources, taking into account the dependence between agronomic, socio-economic, and hydrologic systems and climatic uncertainties.

Integrated water resources management is exposed to the effects of several risks (climatic, socio-economic, and political). Currently, climate change represents one of the greatest risks for many countries around the world and the agricultural sector in particular. In the literature, climate change is sufficiently researched but there are scarce studies that deal with the theme of risk in agricultural water management and in particular the management under climate change. In the paper, we first define out the characteristics and particularity of climate change risk and then we point the different approaches and methods for taking into consideration for climate change risk in the integrated water resources management models for the agriculture sector. In this work, we aim to appraise the quantification of uncertainties in systems modelling in watersheds and discuss various water resource management and operation models.