Increased temperature variation poses a greater risk to species than climate warming
By David A. Vasseur, J. Delong, B. Gilbert, H. Greig, Christopher D. G. Harley, K. McCann, Van M. Savage, Tyler D. Tunney, M. O’Connor. Proceedings of the Royal Society of London. Biological Sciences, 2014
967 citations recorded by the source corpus.
Subfields: Ecological Modeling, Ecology, Genetics
View Paper: https://www.semanticscholar.org/paper/783e9bc34bd1e9ad1da815853ca597a702b724c9
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Ecological Modeling
- F. Lima
- G. Sarà
- Christopher D. G. Harley
- S. Connell
- Van M. Savage
- James E. M. Watson
- Martine Maron
- Daniel B. Segan
In Ecology
In Genetics
Citations in the corpus
- Detecting the impact of temperature on transmission of Zika, dengue, and chikungunya using mechanistic models (2017, background): “We assumed an irreversible high-temperature threshold above which mosquitoes die and transmission is impossible [57,58].”
- Semi‐natural habitats mitigate the effects of temperature rise on wild bees (2017, background): “Additionally, Vasseur et al. (2014) found that whereas higher mean temperatures favoured invertebrate ectotherms, simultaneous changes in mean and variance resulted in diverse responses, leading temperate species to performance declines.”
- Conservation implications of ecological responses to extreme weather and climate events (2018, background): “Accounting for threat interactions is likely to improve predictions of responses to extreme events, such as for population decline (Vasseur et al., 2014).”
- Beyond long-term averages: making biological sense of a rapidly changing world (2014, methodology): “Progress is definitely being made in considering these issues, such as the incorporation of “weather” into “climate” predictions [52] using techniques such as stochastic weather generators [53] to account for predicted variability in environmental conditions [54], and particularly the inclusion of r”
- Climate-mediated shifts in temperature fluctuations promote extinction risk (2022, methodology): “…the average fitness (growth rate) driven by daily temperature between the historical period (1950-2000) and future period (2050-2100) when allowing negative growth rates above CTmax as in Vasseur et al. 2014 (a) and when performance values are bounded by 0 above CTmax as in Deutsch et al. 2008 (b).”
- Can we predict ectotherm responses to climate change using thermal performance curves and body temperatures? (2016, methodology): “…) will also have positive or negative effects on W , again depending on the magnitude and position of the shift relative to T opt and to the degree of thermal specialisation vs. generalisation (Angilletta 2009; Vasseur et al. 2014), in part as a consequence of Jensen’s inequality (discussed below).”