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A paper recently published entitled "Water crisis in Iran: A system dynamics approach on water, energy, food, land, and climate (WEFLC) nexus" (Barati et al., 2023). In the mentioned study, a WEFLC model is developed to analyze the water scarcity in Iran.

The potential consequences of grain-trade disruption on food security in the Middle East and North Africa region.

The Middle East and North Africa (MENA) region has seen remarkable population growth over the last century, outpacing other global regions and resulting in an over-reliance on food imports. In consequence, it has become heavily dependent on grain imports, making it vulnerable to trade disruptions (e.g.

Hydrothermal impacts of water release on early life stages of white sturgeon in the Nechako river, B.C. Canada.

Water temperature plays a crucial role in the physiology of aquatic species, particularly in their survival and development. Thus, resource programs are commonly used to manage water quality conditions for endemic species. In a river system like the Nechako River system, central British Columbia, a water management program was established in the 1980s to alter water release in the summer months to prevent water temperatures from exceeding a 20 °C threshold downstream during the spawning season of Sockeye salmon (Oncorhynchus nerka).

Water-related limits to growth for agriculture in Iran.

Globally, agriculture is the primary water consumption sector. This study used water footprint () as a bottom-up tool and satellite imagery as a top-down tool to estimate the internal water use () in the agricultural sector in an innovative way to show the effects of water-intensive use in agriculture in an arid country. The of Iran has been quantified for 19 main crops and for related agricultural products exported from Iran to partner countries.

A mathematical meta-model for assessing the self-sufficient water resources carrying capacity across different spatial scales in Iran.

Hydrological modeling, water accounting assessments, and land evaluations are well-known techniques to carry out water resources carrying capacity (WRCC) assessments at multiple spatial levels. Using the results of an existing process-based model for assessing WRCC from very fine to national spatial scales, we propose a mathematical meta-model, i.e.

The edge of the petri dish for a nation: Water resources carrying capacity assessment for Iran.

Different methods have been proposed in population dynamics to estimate carrying capacity (K). This study estimates K for Iran, using three novel methods by integrating land and water limits into assessments based on Human Appropriated Net Primary Production (HANPP). The first method uses land suitability as the limiting resource.