Back to Search Start Over

Predicting fish community responses to environmental policy targets

Authors :
Otso Ovaskainen
Io S. Deflem
Federico C. F. Calboli
Filip Volckaert
Øystein H. Opedal
Gerlinde Van Thuyne
Elina Bennetsen
Joost A. M. Raeymaekers
Research Centre for Ecological Change
Organismal and Evolutionary Biology Research Programme
Biosciences
Otso Ovaskainen / Principal Investigator
Plant Adaptation and Conservation
Source :
Biodiversity and Conservation
Publication Year :
2021

Abstract

The European Union adopted the Water Framework Directive (WFD) in the year 2000 to tackle the rapid degradation of freshwater systems. However, biological, hydromorphological, and physico-chemical water quality targets are currently not met, and identifying successful policy implementation and management actions is of key importance. We built a joint species distribution model for riverine fish in Flanders (Belgium) to better understand the response of fish communities to current environmental policy goals. Environmental covariates included physico-chemical variables and hydromorphological quality indices, while waterway distances accounted for spatial effects. We detected strong effects of physico-chemistry on fish species' distributions. Evaluation of fish community responses to simulated policy scenarios revealed that targeting a 'good' status, following the WFD, increases average species richness with a fraction of species (0.13-0.69 change in accumulated occurrence probabilities). Targeting a 'very good' status, however, predicted an increase of 0.17-1.38 in average species richness. These simulations indicated that riverbed quality, nitrogen, and conductivity levels should be the focal point of policy. However, the weak response of species to a 'good' quality together with the complexity of nutrient-associated problems, suggest a challenging future for river restoration in Flanders.

Details

Language :
English
Database :
OpenAIRE
Journal :
Biodiversity and Conservation
Accession number :
edsair.doi.dedup.....00de9c8ae85135cddb1182b605bf746c