Unsupervised biological integrity assessment by eDNA biomonitoring of multi-trophic aquatic taxa

Yang, Jianghua; Zhang, Lijuan; Mu, Yawen; Wang, Jiangye; H, Yu; Zhang, Xiaowei

doi:10.1016/j.envint.2023.107950

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Cited by 5 publications

References 80 publications

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Revolutionizing aquatic eco-environmental monitoring: Utilizing the RPA-Cas-FQ detection platform for zooplankton

Hu,

Liu,

Wei

et al. 2024

Science of The Total Environment

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Revolutionizing aquatic eco-environmental monitoring: Utilizing the RPA-Cas-FQ detection platform for zooplankton

Hu,

Liu,

Wei

et al. 2024

Science of The Total Environment

View full text Add to dashboard Cite

Supervised machine learning improves general applicability of eDNA metabarcoding for reservoir health monitoring

Hu,

Wei,

Liu

et al. 2023

Water Research

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The dilemma of underestimating freshwater biodiversity: morphological and molecular approaches

Schoenle,

Scepanski,

Floß

et al. 2024

Preprint

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The Lower Rhine ecosystem has been extensively shaped by human activities, destroying, modifying, and even creating novel water bodies as habitats. Freshwater systems are hotspots of biodiversity and highly complex ecosystems. However, knowledge and description of its biodiversity across all trophic levels is still incomplete and the complexity of interactions remains unresolved, especially below the micro scale. This is even true for important international inland waterways such as the River Rhine. We here document the biodiversity of the Lower Rhine and associated water bodies, spanning from the level of protists up to the level of larger invertebrate predators and herbivores organized in faunal size classes (nano-, micro, meio- and macrofauna). This study is part of a long-term ecological research project (LTER-D REES). Our study includes two riprap sections of the river's main channel, two oxbows and two gravel-pit lakes in the river's flood plain. Diversity was assessed through morphotype richness and metabarcoding, as well as accounting for sediment composition.

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Unsupervised biological integrity assessment by eDNA biomonitoring of multi-trophic aquatic taxa

Cited by 5 publications

References 80 publications

Revolutionizing aquatic eco-environmental monitoring: Utilizing the RPA-Cas-FQ detection platform for zooplankton

Revolutionizing aquatic eco-environmental monitoring: Utilizing the RPA-Cas-FQ detection platform for zooplankton

Supervised machine learning improves general applicability of eDNA metabarcoding for reservoir health monitoring

The dilemma of underestimating freshwater biodiversity: morphological and molecular approaches

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