scholarly journals When do shifts in trait dynamics precede population declines?

2018 ◽  
Author(s):  
Gaurav Baruah ◽  
Christopher F. Clements ◽  
Fréderic Guillaume ◽  
Arpat Ozgul

AbstractPredicting population responses to environmental change is an on-going challenge in ecology. Studies investigating the links between fitness-related phenotypic traits and demography have shown that trait dynamic responses to environmental change can sometimes precede population dynamic responses, and thus, can be used as an early warning signal. However, it is still unknown under which ecological and evolutionary circumstances, shifts in fitness-related traits can precede population responses to environmental perturbation. Here, we take a trait-based demographic approach and investigate both trait and population dynamics in a density-regulated population in response to a gradual change in the environment. We explore the ecological and evolutionary constraints under which shifts in a fitness-related trait precedes a decline in population size. We show both analytically and with experimental data that under medium-to-slow rate of environmental change, shifts in trait value can precede population decline. We further show the positive influence of environmental predictability, average reproductive rate, plasticity, and genetic variation on shifts in trait dynamics preceding potential population declines. These results still hold under non-constant genetic variation and environmental stochasticity. Our study highlights ecological and evolutionary circumstances under which a fitness-related trait can be used as an early warning signal of an impending population decline.

2019 ◽  
Vol 62 (5) ◽  
pp. 1307-1332 ◽  
Author(s):  
Daniel L. Gamache ◽  
Gerry McNamara ◽  
Scott D. Graffin ◽  
Jason Kiley ◽  
Jerayr Haleblian ◽  
...  

Chemoecology ◽  
2008 ◽  
Vol 18 (4) ◽  
pp. 255-261 ◽  
Author(s):  
Meaghan A. Vavrek ◽  
Chris K. Elvidge ◽  
Robert DeCaire ◽  
Brenna Belland ◽  
Christopher D. Jackson ◽  
...  

2008 ◽  
Vol 105 (38) ◽  
pp. 14308-14312 ◽  
Author(s):  
V. Dakos ◽  
M. Scheffer ◽  
E. H. van Nes ◽  
V. Brovkin ◽  
V. Petoukhov ◽  
...  

2013 ◽  
Vol 6 (3) ◽  
pp. 309-317 ◽  
Author(s):  
Vasilis Dakos ◽  
Egbert H. van Nes ◽  
Marten Scheffer

2020 ◽  
Author(s):  
Lidia Ceriani ◽  
Carlos Hernandez-Suarez ◽  
Paolo Verme

AbstractThe paper provides some initial evidence that daily mortality rates (for any cause) by municipality or province can be used as a statistically reliable predictor of looming COVID-19 crises. Using recently published deaths figures for 1,689 Italian municipalities, we estimate the growth in daily mortality rates between the period 2015–2019 and 2020 by province. All provinces that experienced a major COVID-19 shock in mid-March 2020 had increases in mortality rates of 100% or above already in early February 2020. This increase was particularly strong for males and older people, two recognizable features of COVID-19. Using a panel fixed effect model, we show that the association between these early increases in mortality for any cause and the March 2020 COVID-19 shock is strong and significant. We conclude that the growth in mortality rates can be used as a statistically reliable predictor of COVID-19 crises.


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