2020
DOI: 10.2989/16085914.2020.1736980
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Plankton Index of Biotic Integrity (P-IBI) for assessing ecosystem health within the Ouémé River basin, Republic of Benin

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Cited by 11 publications
(4 citation statements)
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“…Many researchers suggest that zooplanktons should be taken as biological quality elements of Water Framework Directive (WFD) [68][69][70]. The plankton-based assessment method is also mainly modified based on the Index of Biological Integrity (IBI) and has been applied globally [71][72][73][74]. Table S6 lists 38 plankton index studies reviewed in this study.…”
Section: Planktonmentioning
confidence: 99%
“…Many researchers suggest that zooplanktons should be taken as biological quality elements of Water Framework Directive (WFD) [68][69][70]. The plankton-based assessment method is also mainly modified based on the Index of Biological Integrity (IBI) and has been applied globally [71][72][73][74]. Table S6 lists 38 plankton index studies reviewed in this study.…”
Section: Planktonmentioning
confidence: 99%
“…Phytoplankton serve as primary producers and form the foundation of food chains and food webs. The growth of phytoplankton can be regulated by zooplankton, which facilitate the transfer of energy from low to high trophic levels and play a crucial role in ecosystems [16,17]. Analyzing the community characteristics and related parameters of zooplankton and phytoplankton is crucial for clarifying the health status of aquatic ecology and improving environmental stress [18][19][20].…”
Section: Introductionmentioning
confidence: 99%
“…Eutrophication has already become the main issue for the Taihu Lake Basin water environment. At present, research on the health of the rivers in the Taihu Lake Basin is still in its nascent stages [13][14][15], with evaluations largely reliant on criteria like hydrological quality and biological habitats, characterized via Z-IBI [16], P-IBI [17], or water quality indices [18]. Existing multi-criteria evaluation systems involve difficulties in obtaining some indicator data, intricate data computations, and cumbersome evaluation processes, rendering them hard to adapt to the practical needs of government management [19].…”
Section: Introductionmentioning
confidence: 99%