Department of Geography, Gour Mahavidyalaya, Malda, India.
Department of Geography, University of Gour Banga, Malda, India.
Environ Sci Pollut Res Int. 2024 Aug;31(39):52410-52427. doi: 10.1007/s11356-024-34573-3. Epub 2024 Aug 16.
The present study aimed to explore the linkage between wetland health, provisioning service value (PsV) and livelihood vulnerability of the dependent fishermen community taking examples from the Moribund deltaic wetlands of India. Wetland health including hydrological strength, habitat state, and the water quality of the wetland was assessed using a random forest (RF) and XGBoosing machine learning approach, and the Livelihood Vulnerability Index (LVI) was computed using balanced weighted approach. Ordinary least square (OLS) regression, correlation matrix, and rank correlation matrix were done to make the relationship between wetland health and LVI. Wetland health was found poor (28.38%) in the isolated, smaller, and peripheral parts of the wetland with agricultural and built-up area proximity. Hydrological strength (with r of 0.67) was found as the most dominant health determinant followed by habitat state (with r of 0.62). OLS reported that in most of the cases, the standard regression residual is low (0.5 to - 0.5) which indicates that there is a strong relation between wetland health and LVI. KDE plot and correlation matrix also figured out the same. From the field survey, it was found that the wetlands with good habitat health are promising for providing more provisioning services like fish which in turn supports the livelihood of the dependent communities. The findings of this study have a deeper insight into livelihood management through wetland management. Hence, it would inspire policymakers and stakeholders to conserve wetlands not only for the sake of ecology but also for society.
本研究旨在探讨湿地健康、供给服务价值 (PsV) 与依赖渔民社区生计脆弱性之间的联系,以印度垂死三角洲湿地为例。湿地健康包括水文强度、栖息地状态和湿地水质,使用随机森林 (RF) 和 XGBoosting 机器学习方法进行评估,使用平衡加权方法计算生计脆弱性指数 (LVI)。进行了普通最小二乘 (OLS) 回归、相关矩阵和秩相关矩阵,以确定湿地健康与 LVI 之间的关系。湿地健康状况较差(28.38%),孤立、较小和边缘部分的湿地靠近农业和建成区。水文强度(r 值为 0.67)是最主要的健康决定因素,其次是栖息地状态(r 值为 0.62)。OLS 报告说,在大多数情况下,标准回归残差较低(0.5 到-0.5),这表明湿地健康与 LVI 之间存在很强的关系。KDE 图和相关矩阵也说明了这一点。从实地调查中发现,具有良好栖息地健康的湿地有望提供更多的供给服务,如鱼类,这反过来又支持了依赖社区的生计。本研究的结果更深入地了解了通过湿地管理进行生计管理。因此,它将激励政策制定者和利益相关者不仅为了生态,而且为了社会而保护湿地。