Home ›
Entities
› academia
› Modeling the ecological status response of rivers to multiple stressors using machine learning: A comparison of environmental DNA metabarcoding and morphological data
Modeling the ecological status response of rivers to multiple stressors using machine learning: A comparison of environmental DNA metabarcoding and morphological data
Research article (Water Research, 2020) · cited 58× · AI/ML
Modeling the ecological status response of rivers to multiple stressors using machine learning: A comparison of environmental DNA metabarcoding and morphological data
Summary
Modeling the ecological status response of rivers to multiple stressors using machine learning: A comparison of environmental DNA metabarcoding and morphological data is a scholarly article[1].
Key Facts
Modeling the ecological status response of rivers to multiple stressors using machine learning: A comparison of environmental DNA metabarcoding and morphological data's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Modeling the ecological status response of rivers to multiple stressors using machine learning: A comparison of environmental DNA metabarcoding and morphological data. Retrieved May 24, 2026, from https://4ort.xyz/entity/modeling-the-ecological-status-response-of-rivers-to-multiple-stressors-using-machine-learning-a-comparison-of-environme
MLA“Modeling the ecological status response of rivers to multiple stressors using machine learning: A comparison of environmental DNA metabarcoding and morphological data.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/modeling-the-ecological-status-response-of-rivers-to-multiple-stressors-using-machine-learning-a-comparison-of-environme.
BibTeX@misc{4ortxyz_modeling-the-ecological-status-response-of-rivers-to-multiple-stressors-using-machine-learning-a-comparison-of-environme_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Modeling the ecological status response of rivers to multiple stressors using machine learning: A comparison of environmental DNA metabarcoding and morphological data}}, year = {2026}, url = {https://4ort.xyz/entity/modeling-the-ecological-status-response-of-rivers-to-multiple-stressors-using-machine-learning-a-comparison-of-environme}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Modeling the ecological status response of rivers to multiple stressors using machine learning: A comparison of environmental DNA metabarcoding and morphological data — https://4ort.xyz/entity/modeling-the-ecological-status-response-of-rivers-to-multiple-stressors-using-machine-learning-a-comparison-of-environme (retrieved 2026-05-24)
