Development of a Landscape-Based Multi-Metric Index to Assess Wetland Health of the Poyang Lake

• Published in: Remote sensing (Basel, Switzerland) Vol. 14; no. 5; p. 1082
• Main Authors: Liu, Dandan, Liu, Lingling, You, Qinghui, Hu, Qiwu, Jian, Minfei, Liu, Guihua, Cong, Mingyang, Yao, Bo, Xia, Ying, Zhong, Jie, Yang, Wenjing
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.03.2022
• Subjects: Biodiversity; Buffer zones; Classification; Creeks & streams; Cultivated lands; Degradation; ecosystem health; Ecosystems; Endangered & extinct species; human disturbance; Human impact; Human influences; index of biotic integrity; Indicator organisms; Integrity; Lake shores; Lakes; Land management; Land use; land use/land cover; Landscape; landscape patterns; Macroinvertebrates; Nature conservation; Nitrates; Nitrogen; Population density; Poyang Lake; Precipitation; Productivity; Remote sensing; River ecology; Satellite imagery; Vegetation; Water quality; Watershed management; Watersheds; Wetlands; United States > US; China; Poyang Lake; Yangtze River
• ISSN: 2072-4292; 2072-4292
• DOI: 10.3390/rs14051082

Human-induced changes in landscapes are one of the major drivers of wetland loss and degradation. The Poyang Lake wetland in China has been experiencing severe degradation due to human disturbance and landscape modification. Indicators to assess the condition of this wetland are thus needed urgently. Here, a landscape-based multi-metric index (LMI) is developed to evaluate the condition of the Poyang Lake wetland. Twenty-three candidate metrics that have been applied to wetland health assessment in published studies were tested. Metrics that show strong discriminative power to identify reference and impaired sites, having significant correlations with either benthic macroinvertebrate- or vegetation-based indices of biotic integrity (B-IBI or V-IBI), were chosen to form the LMI index. Five of these metrics (largest patch index, modified normalized differential built-up index, Shannon’s diversity index, connectance index, and cultivated land stress index) were selected as our LMI metrics. A 2 km buffer zone around sample sites had the strongest explanatory power of any spatial scale on IBIs, suggesting that protecting landscapes at local scales is essential for wetland conservation. The LMI scores ranged between 1.05 and 5.00, with a mean of 3.25, suggesting that the condition of the Poyang Lake wetland is currently in the “fair” category. The areas along lakeshores were mainly in poor or very poor conditions, while the less accessible inner areas were in better conditions. This study demonstrates significant links between landscape characteristics and wetland biotic integrity, which validates the utility of satellite imagery-derived data in assessing wetland health. The LMI method developed in this study can be used by land managers to quickly assess broad regions of the Poyang Lake wetland.