Assessing the Potential Impacts of Climate Change on Current Coastal Ecosystems—A Canadian Case Study.
In: Remote Sensing, Jg. 15 (2023-10-01), Heft 19, S. 4742-4759
Online
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Zugriff:
Understanding how climate change affects coastal ecosystems is one of the most important elements in determining vulnerability and resilience for long-term ecosystem management in the face of the increasing risk of coastal hazards (e.g., sea level rise, coastal flooding, and storm surge). This research attempts to undertake a study on the ecosystem–climate nexus in the Canadian province of Prince Edward Island (PEI). Cloud-based remote sensing techniques with Google Earth Engine (GGE) are utilized to identify ecosystem changes over time. In addition, the effects of coastal flooding and storm surge ecosystems under different climate scenarios are examined. The results suggest a reduction in the forest (3%), open water or marsh component (9%), salt water (5%), no open water or marsh component (3%), and salt or brackish marsh (17%) ecosystems from 2013 to 2022. Dune and beach exhibit a non-uniform distribution across the period because of variations in natural processes, with an upward trend ranging from 0% to 11%. Approximately 257 km 2 (9.4%) of PEI's ecosystems would be affected by extreme coastal flooding (scenario 4), compared to 142 km 2 (5.2%), 155 km 2 (5.7%), and 191 km 2 (7%) in scenarios 1, 2, and 3, respectively. Under a 4 m storm surge scenario, around 223 km 2 (8.2%) of PEI's ecosystems would be flooded, compared to 61 km 2 (2.2%), 113 km 2 (4.1%), and 168 km 2 (6.1%) under 1 m, 2 m, and 3 m scenarios, respectively. The findings from this research would enable policymakers to take necessary actions to sustain ecosystem services in PEI while confronting the impacts of climate change. [ABSTRACT FROM AUTHOR]
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Assessing the Potential Impacts of Climate Change on Current Coastal Ecosystems—A Canadian Case Study.
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Autor/in / Beteiligte Person: | Dau, Quan Van ; Wang, Xiuquan ; Shah, Mohammad Aminur Rahman ; Kinay, Pelin ; Basheer, Sana |
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Zeitschrift: | Remote Sensing, Jg. 15 (2023-10-01), Heft 19, S. 4742-4759 |
Veröffentlichung: | 2023 |
Medientyp: | academicJournal |
ISSN: | 2072-4292 (print) |
DOI: | 10.3390/rs15194742 |
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