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Edna2iqi: An Edna/Random Forest-Based Prediction Tool that Accurately Predicts Ecological Status for Regulatory-Compliance

https://doi.org/10.2139/ssrn.5217992
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Structural and functional indices show similar performance in marine ecosystem quality assessment
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Robustness, sensitivity and reproducibility of eDNA metabarcoding as an environmental biomonitoring tool in coastal salmon aquaculture – An inter-laboratory study
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Evaluation of a diatom eDNA-based technique for assessing water quality variations in tropical lakes and reservoirs
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DNA-based marine benthic assessment methods can perform as morphological ones, but an intercalibration is needed
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A global view of aquaculture policy
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A review of the impacts of salmonid farming on marine coastal ecosystems in the southeast Pacific
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Transforming marine monitoring: Using eDNA metabarcoding to improve the monitoring of the Mediterranean Marine Protected Areas network
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The future of biotic indices in the ecogenomic era: Integrating (e)DNA metabarcoding in biological assessment of aquatic ecosystems
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Maximising signal-to-noise ratios in environmental DNA-based monitoring
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A Marine Biotic Index to Establish the Ecological Quality of Soft-Bottom Benthos Within European Estuarine and Coastal Environments
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Random Forests
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DADA2: High-resolution sample inference from Illumina amplicon data
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A 20-year retrospective review of global aquaculture
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High-throughput sequencing and morphology perform equally well for benthic monitoring of marine ecosystems
inferredcites →https://doi.org/10.1080/01621459.2020.1762613openalex-snapshot
Prediction, Estimation, and Attribution
inferredcites →https://doi.org/10.1086/622910openalex-snapshot
A Scale of Grade and Class Terms for Clastic Sediments
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A field guide for the compositional analysis of any-omics data
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The SILVA ribosomal RNA gene database project: improved data processing and web-based tools
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Evaluation of general 16S ribosomal RNA gene PCR primers for classical and next-generation sequencing-based diversity studies
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Environmental DNA
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FIGARO: An efficient and objective tool for optimizing microbiome rRNA gene trimming parameters
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REVIEW: The detection of aquatic animal species using environmental DNA – a review of eDNA as a survey tool in ecology
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Environmental monitoring through protist next‐generation sequencing metabarcoding: assessing the impact of fish farming on benthic foraminifera communities
inferredcites →https://doi.org/10.1111/1755-0998.12926openalex-snapshot
Supervised machine learning outperforms taxonomy‐based environmental DNA metabarcoding applied to biomonitoring
inferredcites →https://doi.org/10.1111/1755-0998.13367openalex-snapshot
Improving the reliability of eDNA data interpretation
inferredcites →https://doi.org/10.1111/2041-210x.13718openalex-snapshot
Fine‐tuning biodiversity assessments: A framework to pair eDNA metabarcoding and morphological approaches
inferredcites →https://doi.org/10.1111/mec.14350openalex-snapshot
Environmental DNA metabarcoding: Transforming how we survey animal and plant communities
inferredcites →https://doi.org/10.1111/mec.15434openalex-snapshot
Supervised machine learning is superior to indicator value inference in monitoring the environmental impacts of salmon aquaculture using eDNA metabarcodes
inferredcites →https://doi.org/10.1111/mec.15646openalex-snapshot
Monitoring the ecological status of rivers with diatom eDNA metabarcoding: A comparison of taxonomic markers and analytical approaches for the inference of a molecular diatom index
inferredcites →https://doi.org/10.1111/mec.15814openalex-snapshot
Biotic signals associated with benthic impacts of salmon farms from eDNA metabarcoding of sediments
inferredcites →https://doi.org/10.1146/annurev.ecolsys.35.112202.130132openalex-snapshot
Application of Ecological Indicators
inferredcites →https://doi.org/10.1186/s13750-023-00306-1openalex-snapshot
Existing evidence on the impact of changes in marine ecosystem structure and functioning on ecosystem service delivery: a systematic map
inferredcites →https://doi.org/10.1186/s40168-016-0175-0openalex-snapshot
Adjusting microbiome profiles for differences in microbial load by spike-in bacteria
inferredcites →https://doi.org/10.1371/journal.pone.0240952openalex-snapshot
Ecosystem engineers drive differing microbial community composition in intertidal estuarine sediments
inferredcites →https://doi.org/10.2983/035.034.0121u1.10openalex-snapshot
Macrobenthic succession in relation to organic enrichment and pollution of the marine environment
inferredcites →https://doi.org/10.3389/fmicb.2021.637811openalex-snapshot
Global Trends of Benthic Bacterial Diversity and Community Composition Along Organic Enrichment Gradients of Salmon Farms
inferredcites →https://doi.org/10.3389/focsu.2023.1308125openalex-snapshot
Addressing the cumulative impacts of multiple human pressures in marine systems, for the sustainable use of the seas
inferredcites →https://doi.org/10.3390/jmse10030375openalex-snapshot
Evaluating eDNA for Use within Marine Environmental Impact Assessments
inferredcites →https://doi.org/10.3390/jmse10111598openalex-snapshot
Fish Farming Techniques: Current Situation and Trends
inferredcites →https://doi.org/10.4097/kjae.2017.70.2.144openalex-snapshot
Central limit theorem: the cornerstone of modern statistics
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Root-mean-square error (RMSE) or mean absolute error (MAE): when to use them or not
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