Flow regime, temperature, and biotic interactions drive differential declines of trout species under climate change
By S. Wenger, Daniel J. Isaak, C. Luce, H. Neville, K. Fausch, J. B. Dunham, Daniel C. Dauwalter, M. Young, M. Elsner, B. Rieman and 2 more. Proceedings of the National Academy of Sciences of the United States of America, 2011
606 citations recorded by the source corpus.
Subfields: Ecological Modeling, Nature and Landscape Conservation, Water Science and Technology
View Paper: https://www.semanticscholar.org/paper/dc11f7b06edb7a5a5e39e10a9212445d9917d779
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Citations in the corpus
- The added complications of climate change: understanding and managing biodiversity and ecosystems (2013, positive): “For instance, projected increases in water temperatures may also favor nonnative , more temperature-tolerant trout species (Wenger et al. 2011), thus indirectly increasing competitive pressures on native salmon.”
- Forecasting fish distribution along stream networks: brown trout (Salmo trutta) in Europe (2013, background): “…the importance of ecological drivers at various scales, thermal adaptations and energy efficiency (Finstad et al., 2011), dispersal, interactions with other species at different life history stages (e.g. Wenger et al., 2011) and the time course of the adaptations required (P€ortner et al., 2010).”
- Global streamflow and thermal habitats of freshwater fishes under climate change (2013, background): “However, there is a strong need for assessments that integrate changes in streamflow and thermal habitat characteristics (e.g. Olden and Naiman 2010; Wenger et al. 2011).”
- Assessing transferability of ecological models: an underappreciated aspect of statistical validation (2012, methodology): “…different region (Peterson, Papeş & Kluza 2003; Randin et al. 2006; Peterson, Papeş & Eaton 2007; Barbosa, Real & Vargas 2009; Sundblad et al. 2009; Wenger et al. 2011a) and to a smaller extent whether models developed in one time period can predict a different time period with different weather…”
- Fragmentation and patch size shape genetic structure of brook trout populations (2013, background): “sity, effective population size, and population persistence in headwater fish populations, particularly as available habitat and population connectivity are likely to continue to decline with future climate change effects because of alterations in stream flow and temperature suitability (Hari et al.”