Development and testing of a planktonic index of biotic integrity (P-IBI) for Lake Fuxian, China

Ge, You; Gu, Xiaohong; Zeng, Qingfei; Mao, Zhigang; Chen, Huihui; Yang, Huiting

doi:10.1007/s11356-023-29818-6

Cited by 1 publication

(1 citation statement)

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“…The evaluation results of Lake Gehu in the Yangtze River Delta showed that the P-IBI in dry and wet periods was consistent [38]. By conducting a seasonal assessment of the P-IBI while researching Fuxian Lake, the findings indicated that the biological integrity of Fuxian Lake was better during the winter and spring, but gradually declined during the summer and autumn [52]. The multimetric P-IBI was developed for Lake Erie through the monthly (May-September) analysis of plankton communities, providing a useful, large-scale method for monitoring water quality changes in offshore lakes [3].…”

Section: Spatiotemporal Changes In P-ibimentioning

confidence: 84%

Development and Evaluation of the Plankton Biological Integrity Index (P-IBI) in Dry and Wet Seasons for Dianchi Lake

Cao,

Liang,

Zhang

et al. 2024

Ecologies

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As an important component of lake ecosystems, plankton are often used as indicators to evaluate the health of aquatic ecosystems, such as lakes and reservoirs. The plankton integrity index (P-IBI) is a highly utilized method for evaluating the ecological health of the lakes. This study took Dianchi Lake, located in the Yangtze River Basin, as the research object and analyzed the phytoplankton, zooplankton communities, and environmental factors at 11 sampling points in this lake during the wet season (July) in 2022 and the dry season (February) in 2023. The P-IBI was established to evaluate the health status of this lake ecosystem. The results showed that a total of 83 species of phytoplankton and 31 species of zooplankton were identified in Dianchi Lake, and the number of plankton species in the dry season was significantly higher than that in the wet season. The P-IBI evaluation results for the two hydrological periods were generally “good”. Linear regression analysis showed that there was a certain negative correlation between the P-IBI value and the comprehensive trophic level index (TLI), and the evaluation results were generally in line with the actual situation of the water body. Redundancy analysis (RDA) showed that there was a significant correlation between the P-IBI and its constituent parameters and individual water quality environmental factors, such as total nitrogen (TN) and electrical conductivity (EC). In summary, by reducing errors caused by spatial and temporal changes across various hydrological periods, P-IBI represents a more scientifically rigorous technique for lake water ecological health assessments within a certain time range.

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Section: Spatiotemporal Changes In P-ibimentioning

confidence: 84%