Previous research indicated that high predictive performance in species distribution
modelling can be obtained by combining both biotic and abiotic habitat variables. However …

Machine learning (ML) techniques have become important to support decision making in
management and conservation of freshwater aquatic ecosystems. Given the large number of …

Mapping fluvial hydromorphology is an important part of defining river habitat. Mapping via
field sampling or hydraulic modeling is however time consuming, and mapping …

We investigated the relationship between benthic macroinvertebrate community attributes
(richness, abundance, biodiversity, and climate-specific and resistance forms) and the …

Abstract Inconsistent performance of Species Distribution Models (SDMs), which may
depend on several factors such as the initial conditions or the applied modelling technique …

The aim of this study is to apply a state-of-the-art methodology for the estimation of
environmental flows by predicting how different in-stream flows affect fish microhabitats. A …

Mapping the streambed morphology is crucial for understanding fluvial forms and
processes, for advancing both our knowledge and best management practice of riverine …

Abstract The potential of Multilayer Perceptron (MLP) Ensembles to explore the ecology of
freshwater fish species was tested by applying the technique to redfin barbel (Barbus haasi …

Habitat Suitability Curves (HSCs) were developed for two freshwater fish species, namely
Salmo pelagonicus and Barbus balcanicus, using microhabitat data obtained at a …

This paper presents a cost-effective approach to predict dynamic variation of mesohabitat
classes or hydromorphological units (HMUs) in the context of a peaking scenario. Predicting …