Evaluate the Vulnerability of Protected Wetlands by IUCN Red List of Ecosystems Framework. – A Case Study of Jiangsu Province, China

発表者／presenter’s name：〇Ying Kong 1, Yingnan Li 2, 3, Dohee Kim 3, Youngkeun Song 1,4,5,
所属／Affiliation：1 Interdisciplinary Program in Landscape Architecture, Seoul National University, Seoul 08826, Republic of Korea
2 Department of Environmental Design, Jiangsu University, Zhenjiang 212000, China
3 Environmental Planning Institute, Seoul National University, Seoul 08826, Republic of Korea
4 Department of Environmental Design, Graduate School of Environmental Studies, Seoul National University, Seoul 08826, Republic of Korea
5 Integrated Major in Smartcity Global Convergence, Seoul National University, Seoul 08826, Republic of Korea

要旨／Abstract

Wetlands, crucial for biodiversity and ecosystem regulation, are facing significant degradation. The IUCN Red List of Ecosystems (RLE) is an instrumental framework for identifying at-risk ecosystems. Although China has initiated wetland protection and restoration, application of RLE is constrained by limited data. The utilization of remote sensing data and the Google Earth Engine (GEE) cloud computing platform offer efficacious means to procure the requisite spectral indicators of land use classifications, which may surmount the challenge of data inadequacy for the temporal dynamic monitoring of wetland ecosystems. Therefore, this study aims to evaluate the vulnerability of protected wetlands utilizing RLE framework by supplementing chronological dynamic monitoring data, and took Jiangsu province, China as a case study. Jiangsu Province boasts a wealth of wetlands due to its extensive coastline and river network, and has established a special list of important wetlands for protection work, covering 63 wetlands with a total area of 9,829 km², which are divided into 5 categories: 42 wetland parks, 3 wetland nature reserves, 14 lake wetlands, 1 Yangtze River wetland and 3 coastal mudflats. We selected a typical site from each category to conducting field survey, and employed Landsat imagery and land-use data (1990-2021) from Jiangsu Province, combined with the official boundary range and resource records, and applies RLE criterion A (Reduction in geographic distribution) and B (Restricted geographic distribution) to assess the risk levels of the 5 typical wetlands (Guchenghu Provincial Wetland Park, Rudong Mudflat, Yancheng National Nature Reserve and Taihu Lake, the Yangtze River of Jiangsu section). The results demonstrated that under Criterion A, the 5 wetlands were all classified as Critically Endangered (CR). Under Criterion B, the risk level have changed expect for the wetland park and nature reserve which are still demonstrated as CR, the mudflat and lake were identified as Endangered (EN), and the Yangtze River remained classified as Vulnerable (VU). The findings will contribute to shaping mitigation strategies targeted at the preservation and rehabilitation of these vital wetland ecosystems through a more nuanced comprehension of their ecological significance, susceptibility, and recuperative potential.

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