Hani Ilias, St-Hilaire André, Ouarda Taha B M J
Canada Research Chair in Statistical Hydro-Climatology, Institut national de la recherche scientifique, Centre Eau Terre Environnement. INRS-ETE, 490 De la Couronne, Québec City, QC, Canada; Canadian Rivers Institute, University of New Brunswick, Fredericton, Canada.
Canada Research Chair in Statistical Hydro-Climatology, Institut national de la recherche scientifique, Centre Eau Terre Environnement. INRS-ETE, 490 De la Couronne, Québec City, QC, Canada; Canadian Rivers Institute, University of New Brunswick, Fredericton, Canada.
Sci Total Environ. 2025 Aug 10;989:179866. doi: 10.1016/j.scitotenv.2025.179866. Epub 2025 Jun 11.
Freshwater ecosystems play a vital role in supporting cold-water species like Atlantic salmon, providing the essential conditions to complete critical life stages. However, climate change is increasingly disrupting these habitats, driving shifts in river hydrology and rising water temperatures that threaten their survival. This study quantifies the past (1979-2020) and assesses potential future changes (2030-2100) in the hydrological and thermal regimes of 35 Atlantic salmon rivers across northeastern North America. According to the selected climate change scenarios, the results reveal a significant potential rise in water temperature (Tw > 20 °C), drought conditions, and an increasing trend in heatwave frequency, duration, and intensity by the end of the century. Under the most pessimistic SSP5-8.5 scenario, the total duration of summer riverine heatwave (RH) averaged from 2061 to the end of the century is projected to rise 12-fold (98.0 days) compared to the average of 8.5 days, calculated from 1979 to 2020. Consequently, nearly half of the studied rivers are projected to enter a permanent state of summer heatwaves. We also propose a nonstationary riverine heatwave frequency (RHF) modeling framework, integrating both climate change through a temporal trend and climate variability through large-scale atmospheric-ocean oscillations (teleconnection indices) as covariates. Models incorporating climate-related covariates outperform stationary models without covariates, with the North Atlantic Oscillation and the Arctic Oscillation indices emerging as the most influential predictors. However, with the small sample sizes used in this study, the uncertainty can increase especially for extreme non-exceedance probabilities and for the most extreme values of the climate indices.
淡水生态系统在支持诸如大西洋鲑鱼等冷水物种方面发挥着至关重要的作用,为其完成关键生命阶段提供必要条件。然而,气候变化正日益扰乱这些栖息地,导致河流水文变化以及水温上升,威胁到它们的生存。本研究量化了北美东北部35条大西洋鲑鱼河流过去(1979 - 2020年)的水文和热力状况,并评估了未来(2030 - 2100年)的潜在变化。根据选定的气候变化情景,结果显示到本世纪末,水温(Tw > 20°C)显著上升、干旱状况加剧,热浪频率、持续时间和强度呈增加趋势。在最悲观的SSP5 - 8.5情景下,预计2061年至本世纪末夏季河流热浪(RH)的总持续时间平均将比1979年至2020年平均8.5天增加12倍(98.0天)。因此,近一半的研究河流预计将进入夏季热浪的永久状态。我们还提出了一个非平稳河流热浪频率(RHF)建模框架,将通过时间趋势体现的气候变化和通过大规模大气 - 海洋振荡(遥相关指数)体现的气候变率作为协变量进行整合。纳入与气候相关协变量的模型优于没有协变量的平稳模型,其中北大西洋涛动和北极涛动指数成为最具影响力的预测因子。然而,鉴于本研究使用的样本量较小,不确定性可能会增加,尤其是对于极端非超越概率和气候指数的最极端值而言。