Sub-seasonal forecasting of thermal stress for Swiss river fishes during heatwaves

Adeline Bonaglia, Chenyu Shen, Ryan S. Padrón, Konrad Bogner, Fabian Fopp, Aurélie Rubin, Jean-François Rubin, Antoine Adde, Antoine Guisan, Camille Albouy and Loïc Pellissier

Ecological Modelling, 2025, vol. 507, issue C

Abstract: Rising temperatures and an increasing frequency of extreme events, such as heatwaves pose major threats to ecosystems, impacting ectothermic organisms including fish. Elevated water temperatures, coupled with reduced oxygen levels, intensify stress and mortality among fish fauna, necessitating urgent action to address the impacts of heatwaves on biodiversity. Here, we propose to combine sub-seasonal to seasonal (S2S) forecasting methodologies with ecological modeling integrated with physiological parameters. Specifically, we developed a sub-seasonal forecast model designed to assess fish stress during heatwaves in Swiss rivers. We first compiled from the literature physiological parameters related to fish thermal stress to construct a thermal stress index. The developed model integrates deep-learning forecasts of water temperature with fish physiological data and species distribution modelling to offer a process-driven prediction of heat-stress responses. To validate its efficacy, we retrospectively applied the model to the 2018 heatwave across 20 measurement stations on lowland Swiss rivers, comparing its results with assessments from experts and practitioners. We found that the model successfully forecast stress peaks 2–3 weeks in advance at two validated key sites, where high mortality was reported by practitioners. By classifying fish species based on their thermal sensitivity, we identified a high vulnerability of salmonids. Applications of our model intend to alleviate climate change impacts, resulting in targeted actions to reduce local fish mortality.

Keywords: Adaptive management; Climate change; Fish stress; Freshwater ecosystem; Habitat suitability; Heatwave; Sub-seasonal to seasonal (S2S) forecast (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0304380025001565
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:ecomod:v:507:y:2025:i:c:s0304380025001565

DOI: 10.1016/j.ecolmodel.2025.111171

Access Statistics for this article

Ecological Modelling is currently edited by Brian D. Fath

More articles in Ecological Modelling from Elsevier
Bibliographic data for series maintained by Catherine Liu ().