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- W2756376687 endingPage "1558" @default.
- W2756376687 startingPage "1543" @default.
- W2756376687 abstract "The thermal suitability of riverine habitats for cold water adapted species may be reduced under climate change. Riparian tree planting is a practical climate change mitigation measure, but it is often unclear where to focus effort for maximum benefit. Recent developments in data collection, monitoring and statistical methods have facilitated the development of increasingly sophisticated river temperature models capable of predicting spatial variability at large scales appropriate to management. In parallel, improvements in temporal river temperature models have increased the accuracy of temperature predictions at individual sites. This study developed a novel large scale spatio-temporal model of maximum daily river temperature (Twmax) for Scotland that predicts variability in both river temperature and climate sensitivity. Twmax was modelled as a linear function of maximum daily air temperature (Tamax), with the slope and intercept allowed to vary as a smooth function of day of the year (DoY) and further modified by landscape covariates including elevation, channel orientation and riparian woodland. Spatial correlation in Twmax was modelled at two scales; (1) river network (2) regional. Temporal correlation was addressed through an autoregressive (AR1) error structure for observations within sites. Additional site level variability was modelled with random effects. The resulting model was used to map (1) spatial variability in predicted Twmax under current (but extreme) climate conditions (2) the sensitivity of rivers to climate variability and (3) the effects of riparian tree planting. These visualisations provide innovative tools for informing fisheries and land-use management under current and future climate." @default.
- W2756376687 created "2017-09-25" @default.
- W2756376687 creator A5000825345 @default.
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- W2756376687 creator A5041794120 @default.
- W2756376687 creator A5043291266 @default.
- W2756376687 creator A5078846219 @default.
- W2756376687 date "2018-01-01" @default.
- W2756376687 modified "2023-10-17" @default.
- W2756376687 title "A spatio-temporal statistical model of maximum daily river temperatures to inform the management of Scotland's Atlantic salmon rivers under climate change" @default.
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- W2756376687 doi "https://doi.org/10.1016/j.scitotenv.2017.09.010" @default.
- W2756376687 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/28915548" @default.
- W2756376687 hasPublicationYear "2018" @default.
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