Skip to main content
Dryad

Data from: Stream thermalscape scenarios for British Columbia, Canada

Weller, J. Daniel1; Moore, R. D. (Dan)2; Iacarella, Josephine1

Published Jun 16, 2023; Updated Nov 01, 2023 on Dryad. https://doi.org/10.5061/dryad.bzkh189fk

Data files

Jun 16, 2023 version files 1.88 GB
Nov 01, 2023 version files 1.88 GB

Abstract

Water temperature is a key feature of freshwater ecosystems but comprehensive datasets are severely lacking, a limiting factor in research and management of freshwater species and habitats. An existing statistical stream temperature model developed for British Columbia (BC), Canada, was refit to predict August mean stream temperatures, a common index of stream thermal regime also used in thermalscapes developed for the western United States (US). Thermalscapes of predicted August mean stream temperature were produced for 680,000 km of stream network at approximately 400 m intervals. Temperature predictions were averaged for 20-year periods from 1981–2100 to produce 86 scenarios: one for each historical period (i.e., 1981–2000, 2001–2020), and 21 for each future period (i.e., six global climate models and an ensemble average under three representative concentration pathways). The final model performance was consistent with other published regional-scale statistical models (R2 = 0.79, RMSE = 1.53°C, MAE = 1.18°C), performing well given the relative paucity of data, large geographic extent, and range of climatic and physiographic conditions. Model results suggested an average increase of August mean stream temperature of 2.9 ± 1.0°C (RCP 4.5 ensemble mean ± SD) by end of century, with significant heterogeneity in predicted temperatures and warming rates across the province. Compared to stream temperature predictions from the western US, the predictions for BC showed good agreement at cross-border streams (Pearson’s r = 0.91), suggesting the possible integration of both products for a thermalscape covering much of western North America. These stream thermalscapes for BC address a major data deficiency in freshwater ecosystems and have potential applications to stream ecology, species distribution modelling, and evaluation of climate change impacts.