JOURNAL ARTICLE
Assessing the impact of climate change and glacier retreat on sea level rise, coastal ecosystems, and vulnerable communities.
Published In: Journal of Earth System Science, 2025, v. 134, n. 3. P. 1 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Pallikonda, Anil Kumar; Patnala, Eswar; Annam, Jagadeeswara Rao; Gorintla, Shobana; Krishna, V. V. Rama; Vipparla, Aruna 3 of 3
Abstract
The swift withdrawal of glaciers as a result of climate change is one of the major drivers of surging global sea levels, affecting coastal ecosystems and vulnerable populations. Building upon satellite data, climate models and socio-economic analysis, this study contributes to the prediction of glacier mass loss, sea level rise and potential socio-economic implications. The models were on average 92% accurate in predicting which glaciers would lose mass and predicted that by 2050, the average world sea level would be an average of 0.3 m higher than today. It also forecasts major disruptions to coastal ecosystems, including the loss of more than 30% of mangrove forests in Southeast Asia and 25% of coastal wetlands by 2050. Examples of socio-economic impact are a 20% reduction in glacier meltwater availability in the Himalayas, threatening water security to millions, and risks of displacement in areas like Bangladesh and the Maldives. The economic toll of those impacts could total over $1 trillion per year worldwide by 2100. The study highlights the importance of integrated modelling to evaluate the multidimensional impact of glacier retreat, as such work provides vital information on the joint environmental and socio-economic risks that climate change presents. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:Journal of Earth System Science. 2025/09, Vol. 134, Issue 3, p1
- Document Type:Article
- Subject Area:Earth and Atmospheric Sciences
- Publication Date:2025
- ISSN:0253-4126
- DOI:10.1007/s12040-025-02643-w
- Accession Number:187580526
- Copyright Statement:Copyright of Journal of Earth System Science is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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