American Journal of Advanced Multidisciplinary Research and Innovation

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Multidisciplinary Perspectives on Climate Change Adaptation and Environmental Sustainability

Author(s) George Church
Country United States
Abstract Climate change has emerged as one of the most significant global challenges of the twenty-first century, affecting ecosystems, biodiversity, agriculture, public health, water resources, energy systems, urban development, and socio-economic stability. Rising global temperatures, extreme weather events, sea-level rise, biodiversity loss, and environmental degradation necessitate integrated adaptation strategies that combine scientific innovation, technological advancement, sustainable policies, and community participation. Traditional environmental management approaches are increasingly insufficient to address the complex and interconnected nature of climate-related challenges. Consequently, multidisciplinary approaches integrating Artificial Intelligence (AI), Internet of Things (IoT), Big Data Analytics, Geographic Information Systems (GIS), Remote Sensing, Renewable Energy Technologies, Climate Modelling, Digital Twin Technology, and Sustainable Development have become essential for enhancing climate resilience and environmental sustainability.
This study presents a comprehensive review of Multidisciplinary Perspectives on Climate Change Adaptation and Environmental Sustainability. A qualitative analytical research methodology based on secondary data is employed to examine climate adaptation strategies, ecosystem conservation, renewable energy integration, sustainable agriculture, disaster resilience, smart environmental monitoring, circular economy practices, and policy innovation. The research evaluates how multidisciplinary collaboration enhances adaptive capacity, environmental governance, and long-term sustainability.
The findings indicate that integrating advanced digital technologies with environmental sciences significantly improves climate prediction, natural resource management, disaster preparedness, biodiversity conservation, and sustainable urban planning. Artificial Intelligence enhances climate forecasting and environmental analytics, while IoT-enabled sensor networks facilitate real-time ecosystem monitoring. GIS and satellite remote sensing strengthen spatial decision-making, and Digital Twin technology enables simulation of climate adaptation scenarios. Furthermore, renewable energy systems, circular economy principles, and green infrastructure contribute substantially to reducing greenhouse gas emissions and promoting sustainable economic development.
Despite these opportunities, significant challenges remain concerning climate uncertainty, financial constraints, technological disparities, policy implementation, environmental governance, data interoperability, and international cooperation. Future research should investigate explainable climate AI, quantum climate modelling, carbon-neutral digital infrastructures, nature-based solutions, and integrated climate resilience frameworks.
The study concludes that multidisciplinary approaches combining environmental science, engineering, information technology, economics, public policy, and social sciences provide a comprehensive foundation for effective climate change adaptation and environmental sustainability, supporting resilient communities and achieving global sustainable development goals.
Keywords Climate Change Adaptation, Environmental Sustainability, Artificial Intelligence, Sustainable Development, Climate Resilience, Renewable Energy, Internet of Things, Environmental Monitoring, Circular Economy, Smart Environmental Systems.
Field Engineering
Published In Volume 2, Issue 3, May-June 2020
Published On 2020-05-01
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