What drives the ecological quality of surface waters? A review of 11 predictive modeling tools
Published 2021 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
What drives the ecological quality of surface waters? A review of 11 predictive modeling tools
Authors
Keywords
Data science, Ecological quality ratios, Machine learning, Prediction, Water quality, Water framework directive
Journal
WATER RESEARCH
Volume 208, Issue -, Pages 117851
Publisher
Elsevier BV
Online
2021-11-09
DOI
10.1016/j.watres.2021.117851
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Making Waves. Bridging theory and practice towards multiple stressor management in freshwater ecosystems
- (2021) Bryan M. Spears et al. WATER RESEARCH
- Impacts of multiple stressors on freshwater biota across spatial scales and ecosystems
- (2020) Sebastian Birk et al. Nature Ecology & Evolution
- The effect of intervention in nickel concentrations on benthic macroinvertebrates: A case study of statistical causal inference in ecotoxicology
- (2020) Kazutaka M. Takeshita et al. ENVIRONMENTAL POLLUTION
- European aquatic ecological assessment methods: A critical review of their sensitivity to key pressures
- (2020) Sandra Poikane et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Multiple stressors determine river ecological status at the European scale: Towards an integrated understanding of river status deterioration
- (2020) Jan U. Lemm et al. GLOBAL CHANGE BIOLOGY
- Multiple stressor effects on biological quality elements in the Ebro River: Present diagnosis and predicted responses
- (2018) Albert Herrero et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Understanding multiple stressors in a Mediterranean basin: Combined effects of land use, water scarcity and nutrient enrichment
- (2018) Pedro Segurado et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Integrating river hydromorphology and water quality into ecological status modelling by artificial neural networks
- (2018) Daniel Gebler et al. WATER RESEARCH
- 50 Years of Data Science
- (2017) David Donoho JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS
- Response of fish communities to multiple pressures: Development of a total anthropogenic pressure intensity index
- (2017) Sandra Poikane et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Additive effects prevail: The response of biota to multiple stressors in an intensively monitored watershed
- (2017) Alexander Gieswein et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Analysing the impact of multiple stressors in aquatic biomonitoring data: A ‘cookbook’ with applications in R
- (2016) Christian K. Feld et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Support vector machine applications in the field of hydrology: A review
- (2014) Sujay Raghavendra. N et al. APPLIED SOFT COMPUTING
- Three hundred ways to assess Europe's surface waters: An almost complete overview of biological methods to implement the Water Framework Directive
- (2011) Sebastian Birk et al. ECOLOGICAL INDICATORS
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now