Thu, Aug 05, 2021:On Demand
Background/Question/Methods
Rangelands in the arid and semi-arid regions of Iran are under pressure from frequent degradations and extreme climate conditions, which have affected water conservation and ecosystem services delivery. The timely and efficient assessment of rangeland condition impact on water conservation is crucial in rangeland management. This work represents an integrated modeling approach by linking the Soil and Water Assessment Tool (SWAT) and the Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST) models. SWAT simulated hydrologic components, while InVEST provided a decision support system for water conservation. The coupled SWAT-InVEST model was used to analyze the impact of different rangeland conditions on water conservation in the Atrak river basin in Iran's arid and semi-arid climatic zones. Increasing runoff is proportional to rangeland degradation.
Results/Conclusions Our analyses show a severe degradation of rangelands in Iran. We found that the Basin's average runoff varies between 2 and 294.8 cubic meters per hectare per year. Based on our modeling results, about 50% of the Basin's runoff came from poor rangelands, 22% from moderate rangelands, and 28% from good rangelands. Hence, a significant impact on water conservation could be achieved through rangeland management in this Basin. The SWAT-InVEST integrated modeling approach developed here proved useful for better decision-making under uncertainty.
Results/Conclusions Our analyses show a severe degradation of rangelands in Iran. We found that the Basin's average runoff varies between 2 and 294.8 cubic meters per hectare per year. Based on our modeling results, about 50% of the Basin's runoff came from poor rangelands, 22% from moderate rangelands, and 28% from good rangelands. Hence, a significant impact on water conservation could be achieved through rangeland management in this Basin. The SWAT-InVEST integrated modeling approach developed here proved useful for better decision-making under uncertainty.