Sensitivity of river fishes to climate change: The role of hydrological stressors on habitat range shifts.
Climate change will predictably change hydrological patterns and processes at the catchment scale, with impacts on habitat conditions for fish. The main goal of this study is to assess how shifts in fish habitat favourability under climate change scenarios are affected by hydrological stressors. The interplay between climate and hydrological stressors has important implications in river management under climate change because management actions to control hydrological parameters are more feasible than controlling climate. This study was carried out in the Tamega catchment of the Douro basin. A set of hydrological stressor variables were generated through a process-based modelling based on current climate data (2008-2014) and also considering a high-end future climate change scenario. The resulting parameters, along with climatic and site-descriptor variables were used as explanatory variables in empirical habitat models for nine fish species using boosted regression trees. Models were calibrated for the whole Douro basin using 254 fish sampling sites and predictions under future climate change scenarios were made for the Tamega catchment. Results show that models using climatic variables but not hydrological stressors produce more stringent predictions of future favourability, predicting more distribution contractions or stronger range shifts. The use of hydrological stressors strongly influences projections of habitat favourability shifts; the integration of these stressors in the models thinned shifts in range due to climate change. Hydrological stressors were retained in the models for most species and had a high importance, demonstrating that it is important to integrate hydrology in studies of impacts of climate change on freshwater fishes. This is a relevant result because it means that management actions to control hydrological parameters in rivers will have an impact on the effects of climate change and may potentially be helpful to mitigate its negative effects on fish populations and assemblages.
Universidade de Lisboa, Instituto Superior de Agronomia, Centro de Estudos Florestais (CEF), Tapada da Ajuda, 1349-017 Lisboa, Portugal. Electronic address: psegurado@isa.ulisboa.pt.
Pedro
P
Segurado
Universidade de Lisboa, Instituto Superior de Agronomia, Centro de Estudos Florestais (CEF), Tapada da Ajuda, 1349-017 Lisboa, Portugal; CEris - Civil Engineering for Research and Innovation for Sustainability, Instituto Superior Técnico, Universidade de Lisboa, Lisboa, Portugal.
Paulo
P
Branco
Universidade de Lisboa, Instituto Superior Técnico, MARETEC, Avenida Rovisco Pais, 1049-001 Lisboa, Portugal.
Eduardo
E
Jauch
Universidade de Lisboa, Instituto Superior Técnico, MARETEC, Avenida Rovisco Pais, 1049-001 Lisboa, Portugal.
Ramiro
R
Neves
Universidade de Lisboa, Instituto Superior de Agronomia, Centro de Estudos Florestais (CEF), Tapada da Ajuda, 1349-017 Lisboa, Portugal.
M Teresa
MT
Ferreira
D000818:Animals; D057231:Climate Change; D017753:Ecosystem; D004784:Environmental Monitoring; D005399:Fishes / Q000502:physiology*; D062070:Hydrology; D045483:Rivers; D013312:Stress, Physiological
Freshwater fish; Global change; Habitat models; High-end scenarios; Hydrological modelling; Hydrological stressor