Which environmental factors control extreme thermal events in rivers? A multi-scale approach (Wallonia, Belgium)

peer reviewed ; Managers need to know how to mitigate rising stream water temperature (WT) due to climate change. This requires identifying the environmental drivers that influence thermal regime and determining the spatial area where interventions are most effective. We hypothesized that (i) extreme thermal events can be influenced by a set of environmental factors that reduce thermal sensitivity and (ii) the role played by those factors varies spatially. To test these hypotheses, we (i) determined which of the environmental variables reported to be the most influential affected WT and (ii) i... Mehr ...

Verfasser: Georges, Blandine
Michez, Adrien
Piégay, Hervé
Huylenbroeck, Léo
Lejeune, Philippe
Brostaux, Yves
Dokumenttyp: journal article
Erscheinungsdatum: 2021
Verlag/Hrsg.: PeerJ
Schlagwörter: Stream water temperature / Riparian vegetation / Channel morphology / Shade / Extreme / Environmental factors / River management / Life sciences / Environmental sciences & ecology / Sciences du vivant / Sciences de l’environnement & écologie
Sprache: Englisch
Permalink: https://search.fid-benelux.de/Record/base-26593077
Datenquelle: BASE; Originalkatalog
Powered By: BASE
Link(s) : https://orbi.uliege.be/handle/2268/265376

peer reviewed ; Managers need to know how to mitigate rising stream water temperature (WT) due to climate change. This requires identifying the environmental drivers that influence thermal regime and determining the spatial area where interventions are most effective. We hypothesized that (i) extreme thermal events can be influenced by a set of environmental factors that reduce thermal sensitivity and (ii) the role played by those factors varies spatially. To test these hypotheses, we (i) determined which of the environmental variables reported to be the most influential affected WT and (ii) identified the spatial scales over which those environmental variables influenced WT. To this end, the influence of multi-scale environmental variables, namely land cover, topography (channel slope, elevation), hydromorphology (channel sinuosity, water level, watershed area, baseflow index) and shade conditions, was analyzed on the three model variables (day thermal sensitivity, night thermal sensitivity, and non-convective thermal flux) in the model developed by Georges et al. (2021) of the temporal thermal dynamics of daily maximum WT during extreme events. Values were calculated on six spatial scales (the entire upstream catchment and the associated 1 km and 2 km circular buffer, and 50 m wide corridors on each side of the stream with the associated 1 km and 2 km circular buffer). The period considered was 17 extreme days during the summer identified by Georges et al. (2021) based on WT data measured every 10 min for 7 years (2012–2018) at 92 measurement sites. Sites were located evenly throughout the Wallonia (southern Belgium) hydrological network. Results showed that shade, baseflow index (a proxy of the influence of groundwater), water level and watershed area were the most significant variables influencing thermal sensitivity. Since managers with finite financial and human resources can act on only a few environmental variables, we advocate restoring and preserving the vegetation cover that limits solar radiation on ...