Supplementary material to "Waning habitats due to climate change: effects of streamflow and temperature changes at the rear edge of the distribution of a cold-water fish"

Author(s):  
José M. Santiago ◽  
Rafael Muñoz-Mas ◽  
Joaquín Solana ◽  
Diego García de Jalón ◽  
Carlos Alonso ◽  
...  
2017 ◽  
Vol 21 (8) ◽  
pp. 4073-4101 ◽  
Author(s):  
José María Santiago ◽  
Rafael Muñoz-Mas ◽  
Joaquín Solana-Gutiérrez ◽  
Diego García de Jalón ◽  
Carlos Alonso ◽  
...  

Abstract. Climate changes affect aquatic ecosystems by altering temperatures and precipitation patterns, and the rear edges of the distributions of cold-water species are especially sensitive to these effects. The main goal of this study was to predict in detail how changes in air temperature and precipitation will affect streamflow, the thermal habitat of a cold-water fish (the brown trout, Salmo trutta), and the synergistic relationships among these variables at the rear edge of the natural distribution of brown trout. Thirty-one sites in 14 mountain rivers and streams were studied in central Spain. Models of streamflow were built for several of these sites using M5 model trees, and a non-linear regression method was used to estimate stream temperatures. Nine global climate models simulations for Representative Concentration Pathways RCP4.5 and RCP8.5 scenarios were downscaled to the local level. Significant reductions in streamflow were predicted to occur in all of the basins (max. −49 %) by the year 2099, and seasonal differences were noted between the basins. The stream temperature models showed relationships between the model parameters, geology and hydrologic responses. Temperature was sensitive to streamflow in one set of streams, and summer reductions in streamflow contributed to additional stream temperature increases (max. 3.6 °C), although the sites that are most dependent on deep aquifers will likely resist warming to a greater degree. The predicted increases in water temperatures were as high as 4.0 °C. Temperature and streamflow changes will cause a shift in the rear edge of the distribution of this species. However, geology will affect the extent of this shift. Approaches like the one used herein have proven to be useful in planning the prevention and mitigation of the negative effects of climate change by differentiating areas based on the risk level and viability of fish populations.


2017 ◽  
Author(s):  
José M. Santiago ◽  
Rafael Muñoz-Mas ◽  
Joaquín Solana ◽  
Diego García de Jalón ◽  
Carlos Alonso ◽  
...  

Abstract. Climate change affects aquatic ecosystems altering temperature and precipitation patterns, and the rear edge of the distribution of cold-water species is especially sensitive to them. The main goal was to predict in detail how change in air temperature and precipitation will affect streamflow, the thermal habitat of a cold-water fish (brown trout, Salmo trutta Linnaeus 1758), and their synergistic relationships at the rear edge of its natural distribution. 31 sites in 14 mountain rivers and streams were studied in Central Spain. Models at several sites were built using regression trees for streamflow, and a non-linear regression method for stream temperature. Nine global climate models simulations for the RCP4.5 and RCP8.5 (Representative Concentration Pathways) scenarios were downscaled to a local level. Significant streamflow reductions were predicted in all basins (max. −49 %) by the year 2099, showing seasonal differences between them. The stream temperature models showed relationships between models parameters, geology and hydrologic responses. Temperature was sensitive to the streamflow in one set of streams, and summer reductions contributed to additional stream temperature increases (max. 3.6 °C), although the most deep-aquifer dependent sites better resisted warming. The predicted increase in water temperature reached up to 4.0 °C. Temperature and streamflow changes will cause a shift of the rear edge of the species distribution. However, geology conditioned the extent of this shift. Approaches like these should be useful in planning the prevention and mitigation of negative effects of climate change by differentiating areas based on the risk level and viability of fish populations.


2021 ◽  
Vol 169 (1-2) ◽  
Author(s):  
Marc Helbling ◽  
Daniel Auer ◽  
Daniel Meierrieks ◽  
Malcolm Mistry ◽  
Max Schaub

AbstractWhile a growing literature studies the effects of climate change on international migration, still only relatively little is known about the individual mechanisms linking migration decisions to climate change. We argue that climate change literacy (i.e., knowledge about climate change) is a major determinant of why some individuals consider migrating to other countries in response to climate change effects. In particular, climate change literacy helps individuals translate their perceptions of temperature changes into an understanding of these changes’ irreversible long-term consequences. We test this hypothesis using highly accurate geo-coded data for 37,000 individuals across 30 African countries. We show that climate change indeed leads to stronger migration intentions among climate literates only. Furthermore, we show that climate change only increases migration intentions among climate literates when it is approximated by long-run increases in local temperatures, but not when operationalized as changing heat wave or precipitation patterns. Further analyses show that climate literates are more likely to live in urban areas, have a higher news consumption, are highly educated, and have demanding occupations. Consequently, climate change may further deprive affected countries of valuable talent.


Ecohydrology ◽  
2015 ◽  
Vol 9 (3) ◽  
pp. 514-528 ◽  
Author(s):  
José M. Santiago ◽  
Diego García de Jalón ◽  
Carlos Alonso ◽  
Joaquín Solana ◽  
Jaime Ribalaygua ◽  
...  

Author(s):  
Michael K. Young ◽  
Daniel J. Isaak ◽  
Scott Spaulding ◽  
Cameron A. Thomas ◽  
Scott A. Barndt ◽  
...  

2016 ◽  
Vol 39 ◽  
pp. 89-92 ◽  
Author(s):  
Luca Alberti ◽  
Martino Cantone ◽  
Loris Colombo ◽  
Gabriele Oberto ◽  
Ivana La Licata

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