Assessing Climate Vulnerability of Ramsar Wetlands through CMIP6 Projections
Shivam Singh (),
Manish Kumar Goyal () and
Erumalla Saikumar
Additional contact information
Shivam Singh: Indian Institute of Technology
Manish Kumar Goyal: Indian Institute of Technology
Erumalla Saikumar: Indian Institute of Technology
Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), 2024, vol. 38, issue 4, No 10, 1395 pages
Abstract:
Abstract Wetlands are essential for preserving numerous natural cycles and providing habitat for a wide variety of wildlife. They are essential to maintaining the appropriate balance of the ecosystem. The Ramsar Convention categorises wetlands as Ramsar Wetlands based on certain parameters (botanical, geological, and hydrological features) and national importance. There could be multiple threats to the wetland ecosystem such as habitat loss, pollution, invasive species, climate change, overexploitation, hydrological modifications, etc. This study delves into assessing the climate vulnerability of 15 newly designated Ramsar sites in India in 2022. Historical analysis of the inundation area of these sites from 1991 to 2022 was performed using pre-processed Landsat imageries in Google Earth Engine. The accuracy of mapping inundation was evaluated by creating error matrix and analyzing user’s accuracy, producer’s accuracy and overall accuracy. Future climate vulnerability was assessed using recent climate projections of shared socioeconomic pathway (SSP 245) from Coupled Model Intercomparison Project-Phase 6 (CMIP6). Machine learning regression algorithms were employed to understand the relationship between wetland inundation and climate variables, paving the way for predictive analysis. Some Ramsar sites showed significantly decreasing trends in past inundation patterns, highlighting their potential vulnerability to climate changes. This analysis underscores the importance of proactive measures to protect these Ramsar sites in the face of evolving climatic conditions, emphasizing the critical role of conservation efforts in preserving these essential ecosystems.
Keywords: Ramsar sites; Wetlands; Climate change; CMIP6; Machine learning; SVM; Random forest (search for similar items in EconPapers)
Date: 2024
References: Add references at CitEc
Citations:
Downloads: (external link)
http://link.springer.com/10.1007/s11269-023-03726-3 Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:waterr:v:38:y:2024:i:4:d:10.1007_s11269-023-03726-3
Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11269
DOI: 10.1007/s11269-023-03726-3
Access Statistics for this article
Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA) is currently edited by G. Tsakiris
More articles in Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA) from Springer, European Water Resources Association (EWRA)
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().