Bridging climate science, policy, and communities: collaborative pathways for climate resilience in the Indo-Pacific

被引:0
作者
Modi, Aditi [1 ]
Roxy, Mathew Koll [1 ]
Jain, Shipra [2 ]
Truong, Chi Huyen [3 ]
Doan, Quang-Van [4 ]
Jack, Christopher [5 ]
Jevrejeva, Svetlana [6 ]
Singh, Arvind [7 ]
Dhara, Chirag [8 ]
Ghosh, Sahana [9 ]
机构
[1] Minist Earth Sci, Indian Inst Trop Meteorol, Ctr Climate Change Res, Pune, India
[2] UCL, Dept Risk & Disaster Reduct, London, England
[3] Himalayan Univ Consortium, ICIMOD, Kathmandu, Nepal
[4] Univ Tsukuba, Ctr Computat Sci, Tsukuba, Japan
[5] Univ Cape Town, Climate Syst Anal Grp, Cape Town, South Africa
[6] Natl Oceanog Ctr, Southampton, England
[7] Phys Res Lab, Ahmadabad, India
[8] Krea Univ, Sri City, India
[9] Nat India, New Delhi, India
来源
FRONTIERS IN CLIMATE | 2025年 / 7卷
关键词
Indo-Pacific; climate change; urbanization; sea-level rise; Hindu Kush Himalayas; science communication; my climate risk; SEA-LEVEL RISE; IMPACTS; LAND; VARIABILITY; ADAPTATION; SUBSIDENCE; EXPANSION; SHANGHAI; BARRIERS; INSIGHTS;
D O I
10.3389/fclim.2025.1538123
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The Indo-Pacific region, a critical economic and geopolitical hub, faces intensifying climate risks, including accelerating sea-level rise, extreme weather events-particularly heatwaves amplified by rapid urbanization-and glacial retreat in the Hindu Kush Himalayas. While advancements in climate science have significantly improved future climate projections, gaps remain in translating this knowledge into actionable adaptation strategies. Barriers such as data inaccessibility, weak institutional and international coordination, and financial constraints hinder effective climate action. This study synthesizes existing climate knowledge for the Indo-Pacific region, emphasizing the need for localized, community-driven adaptation approaches. Key challenges include the vulnerability and exposure of coastal communities to sea-level rise, the limitations of current urban-scale climate modeling, and the underrepresentation of sociocultural factors in climate adaptation strategies. The integration of Artificial Intelligence (AI) and machine learning (ML) in climate models presents an opportunity to enhance urban climate resilience, while the incorporation of indigenous knowledge rooted in scientific principles offers a critical pathway to improving localized adaptation efforts. Additionally, science communication plays a pivotal role in ensuring that climate research reaches policymakers and communities in an accessible and actionable manner. We advocate for a paradigm shift from a linear value chain to a value cycle approach, where scientific insights inform policy and local contexts inform research priorities. By bridging climate science, policy, and communities through regional platforms such as the Indo-Pacific My Climate Risk Hub at the Indian Institute of Tropical Meteorology (IITM) Pune, India, this paper outlines pathways for collaborative climate action. This work proposes actionable strategies for regional resilience.
引用
收藏
页数:12
相关论文
共 137 条
[51]  
Heslin A, 2019, CLIM RISK MANAGE POL, P237, DOI 10.1007/978-3-319-72026-5_10
[52]  
HiRISK, Risk data in High Mountain Asia
[53]  
ICIMOD, 2025, Community-based flood early warning systems are crucial for disaster preparedness
[54]  
ICIMOD, International forum on the cryosphere and society
[55]  
ICIMOD I. C. f. I. M. D., 2023, Water, ice, society, and ecosystems in the Hindu Kush Himalaya: an outlook
[56]   Challenges, Advances and Opportunities in Regional Sea Level Projections: The Role of Ocean-Shelf Dynamics [J].
Jevrejeva, Svetlana ;
Calafat, Francisco M. ;
De Dominicis, Michela ;
Hirschi, Joel J. -M. ;
Mecking, Jennifer V. ;
Polton, Jeff A. ;
Sinha, Bablu ;
Wise, Anthony ;
Holt, Jason .
EARTHS FUTURE, 2024, 12 (08)
[57]   Future sea level rise dominates changes in worst case extreme sea levels along the global coastline by 2100 [J].
Jevrejeva, Svetlana ;
Williams, Joanne ;
Vousdoukas, Michalis, I ;
Jackson, Luke P. .
ENVIRONMENTAL RESEARCH LETTERS, 2023, 18 (02)
[58]  
Khan A, 2021, Solar Energy Advances, V1, P100009, DOI 10.1016/j.seja.2021.100009
[59]   The roles of representations and tools in the chemistry laboratory and their implications for chemistry learning [J].
Kozma, R ;
Chin, E ;
Russell, J ;
Marx, N .
JOURNAL OF THE LEARNING SCIENCES, 2000, 9 (02) :105-143
[60]   Adaptive strategy biases in engineered ecosystems: Implications for plant community dynamics and the provisioning of ecosystem services to people [J].
Krauss, Lauren ;
Rippy, Megan A. .
PEOPLE AND NATURE, 2022, 4 (06) :1644-1663