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              <text>Dubey Pandey, Vijaishree; Vijeta; Sinha, Rituraj; Solanki, Shashank</text>
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              <text>Effects of Climate Change on Natural Resources and Its Management Using Computer-Aided Techniques</text>
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              <text>01-01-2026</text>
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              <text>Studies in Systems, Decision and Control;Volume;637;pp.89-108</text>
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              <text>Dubey Pandey V., CHRIST University, Bengaluru, India; Vijeta, CHRIST University, Bengaluru, India; Sinha R., CHRIST University, Bengaluru, India; Solanki S., CHRIST University, Bengaluru, India</text>
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              <text>The fast-paced climate change produces worse resource stress because it damages freshwater reservoirs and forests with arable land and biodiversity while creating major sustainability issues for urban spaces. Food shortages result from global warming along with uneven rainfall patterns and powerful weather systems that further intensify resource-related problems throughout entire ecosystems. Resolving these challenges requires computer technology solutions combining Quantum Computing (QC) with Machine Learning (ML), Geographic Information Systems (GIS), and Artificial Intelligence (AI) to optimise resources and develop predictive analyses as well as strengthen climate resilience strategies. AI technologies integrated with quantum algorithms give birth to improved climate modelling systems, which trigger instant emergency actions to control disasters while urban requirements shift. Climate risk reduction benefits from two successful techniques: NASA employs them through the Earth Observing System (EOS) while Google deploys their AI-based flood prediction model in India and Bangladesh. Environmental governance finds its legal and policy basis in two primary international agreements, namely the EU's Green Deal and the United Nations SDGs and the Paris Agreement (2015). Research evidence demonstrates that combined disciplinary methods effectively verify how computer-based processes solve sustainable urban expansion problems. The research indicates that climate resilience reaches its optimal potential through international establishments of standardised ethical frameworks and rules for innovative technology systems. Also, the strategic recommendations regarding AI implementation for natural resource defence during climate change need support from policymakers, urban planners, and researchers who must perform these tasks.  The Author(s), under exclusive license to Springer Nature Switzerland AG 2026.</text>
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              <text>Artificial intelligence; Climate resilience; Natural resource management; Quantum computing; Sustainable development goals</text>
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              <text>ISSN: 21984182;</text>
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