Adaptive Governance for a Warming World: Resilience, Fluid Dynamics, and Feedback Mechanisms in Climate Change Mitigation

Adaptive Governance for a Warming World: Resilience, Fluid Dynamics, and Feedback Mechanisms in Climate Change Mitigation | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Adaptive Governance for a Warming World: Resilience, Fluid Dynamics, and Feedback Mechanisms in Climate Change Mitigation Nasir Abbas This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-7780314/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract The accelerating impacts of climate change present an urgent call for innovative governance frameworks that are both adaptive and resilient. Traditional static models of governance often fail to address the complexities of a rapidly shifting environmental landscape, where nonlinear interactions, feedback loops, and unpredictable outcomes dominate. This paper explores adaptive governance as a dynamic response to the multifaceted challenges of climate change, emphasizing resilience, fluid dynamics, and feedback mechanisms as central organizing principles. Resilience in governance systems is not only about resisting shocks but also about fostering the capacity to adapt, reorganize, and transform in the face of new realities. Drawing parallels from fluid dynamics, the study highlights how governance can benefit from flexibility, flow, and constant recalibration, allowing policies and institutions to respond to evolving climate conditions with agility. Furthermore, attention to feedback mechanisms ensures that governance systems remain iterative, learning from environmental signals, social responses, and technological advancements to refine strategies over time. By integrating these dimensions, adaptive governance emerges as a holistic approach that can balance immediate mitigation actions with long-term sustainability goals. Environmental Engineering Adaptive Governance Climate Change Resilience Fluid Dynamics Feedback Mechanisms Mitigation Sustainability Full Text Additional Declarations The authors declare no competing interests. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-7780314","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":524677225,"identity":"f0d90a41-0b2d-4a09-9526-4a0732a0bfd4","order_by":0,"name":"Nasir 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