ICAR-Central Inland Fisheries Research Institute, Barrackpore, Kolkata, West Bengal, 700120, India.
Faculty of Fisheries and Protection of Waters, University of South Bohemia, 37005, Ceske Budejovice, Czech Republic.
Environ Monit Assess. 2020 Feb 18;192(3):183. doi: 10.1007/s10661-020-8114-8.
The floodplain wetlands in different regional settings vary with time and space in terms of function and geomorphological diversity. In recent decades, these eco-sensitive waterbodies have been exposed to a wide range of anthropogenic threats and climatic changes. Therefore, assessment of these ecological and environmental threats is prerequisite to understand the state of ecosystem and to develop a sustainable management strategy for conservation of wetland biodiversity and fisheries enhancement. This paper discusses the region-specific pattern of trophic state index (TSI) of the 27 floodplain wetlands in West Bengal, India. Carlson TSI and Lamparelli TSI methods were used to determine a better approach based on historical and continuous dataset and to delineate the interrelationship among historical climatic variability for sustainable management of the resources. The study revealed that agro-climatic divisions do not unveil any significant impact on the TSI calculated using Carlson TSI as well as Lamparelli TSI method. The TSI scores for the two methods were significantly different (p < 0.01) for different zones based on wetland habitat types. The TSI scores revealed most of the wetlands to be in mesotrophic state. Principal component analysis (PCA) indicated that TSI scores were having similar pattern of variation with rainfall and water temperature. The present study also conveys fundamental information on ecological status based on the trophic state, which will aid to develop region-specific strategies for sustainable fisheries enhancement.
不同区域设置的洪泛湿地在功能和地貌多样性方面随时间和空间而变化。近几十年来,这些生态敏感水体受到了广泛的人为威胁和气候变化的影响。因此,评估这些生态和环境威胁是了解生态系统状况和制定保护湿地生物多样性和渔业增强的可持续管理战略的前提。本文讨论了印度西孟加拉邦 27 个洪泛湿地的特有营养状态指数(TSI)模式。使用 Carlson TSI 和 Lamparelli TSI 方法,基于历史和连续数据集确定了一种更好的方法,并阐明了历史气候变异性之间的相互关系,以实现资源的可持续管理。研究表明,农业气候分区对基于 Carlson TSI 和 Lamparelli TSI 方法计算的 TSI 没有显著影响。两种方法的 TSI 得分根据湿地栖息地类型在不同区域有显著差异(p < 0.01)。TSI 得分表明,大多数湿地处于中营养状态。主成分分析(PCA)表明,TSI 得分与降雨量和水温具有相似的变化模式。本研究还根据营养状态提供了关于生态状况的基本信息,这将有助于制定针对特定地区的可持续渔业增强策略。