Trends, teleconnections and nonstationary frequency modeling of riverine heatwaves in North American Atlantic salmon rivers (1979–2100)

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.

Authors

Institutions

Publication Details

Journal
The Science of The Total Environment
Published
2025-06-11
DOI
https://doi.org/10.1016/j.scitotenv.2025.179866
Citations
3
Primary Topic
Oceanographic and Atmospheric Processes
Type
article
Field-Weighted Citation Impact
5.38

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Trends, teleconnections and nonstationary frequency modeling of riverine heatwaves in North American Atlantic salmon rivers (1979–2100)

Ilias Hani, André St‐Hilaire, Taha B. M. J. Ouarda
3 citations
The Science of The Total Environment
Oceanographic and Atmospheric Processes
5.38
article

Trends, teleconnections and nonstationary frequency modeling of riverine heatwaves in North American Atlantic salmon rivers (1979–2100)

Ilias Hani, André St‐Hilaire, Taha B. M. J. Ouarda
article en
3 citations

Abstract

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.

The Science of The Total EnvironmentVol. 989
Institut National de la Recherche Scientifique (CA)
Mitacs, Fondation Pour La Conservation Du Saumon Atlantique
Life below water
Openalex Percentile: Top 5%
Oceanographic and Atmospheric Processes
5.38
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.