THE COLOR OF ENVIRONMENTAL NOISE

By David A. Vasseur, P. Yodzis. 2004

408 citations recorded by the source corpus.

Subfields: Ecology, Global and Planetary Change, Statistical and Nonlinear Physics

View Paper: https://www.semanticscholar.org/paper/3eac439bad47a739760125e436485c0768e72c54

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Ecology

1. J. Moranta
2. Thomas H. G. Ezard
3. Sebastian J. Schreiber
4. Jonas Persson
5. Rebecca B. Hoyle
6. D. Marshall
7. Roshan Prizak
8. Nils Chr. Stenseth

In Global and Planetary Change

1. Nils Chr. Stenseth
2. D. Hjermann
3. Geir Ottersen
4. J. Moranta
5. Sebastian J. Schreiber
6. D. Marshall
7. Juan Carlos Molinero
8. Enric Massuti

In Statistical and Nonlinear Physics

1. Sebastian J. Schreiber
2. Hal Whitehead

Citations in the corpus

• Shifting dynamic forces in fish stock fluctuations triggered by age truncation? (2011, background): “Given that marine environments are dominated by long-term fluctuations (Vasseur & Yodzis, 2004), consecutive years of poor environmental conditions are likely to occur, while age truncation decreases the ability of fish stocks to withstand those potentially prolonged periods (Murphy, 1968;…”
• The fitness costs of adaptation via phenotypic plasticity and maternal effects (2014, background): “The fitness costs of adaptation via phenotypic plasticity and maternal effects”
• The evolution of conformist social learning can cause population collapse in realistically variable environments (2009, background): “Many environmental time series have red spectra, in which a disproportionate amount of the variance is at long wave lengths (Vasseur & Yodzis, 2004).”
• Persistence for stochastic difference equations: a mini-review (2011, background): “Many environmental signals are positively autocorrelated in time [72].”
• Synergistic effects of fishing-induced demographic changes and climate variation on fish population dynamics (2011, methodology): “…high frequencies) was used as a control experiment, and (2) red noise, which is characterised by a dominance of low frequencies in the signal, was used as a more realistic environmental scenario (Vasseur & Yodzis 2004) consistent with the IDEA index that drives recruitment (Massutí et al. 2008).”
• Adaptive parental effects: the importance of estimating environmental predictability and offspring fitness appropriately (2014, background): “Sinusoidal processes assume that variance scales with frequency (f ) according to an inverse power law, 1/f (Vasseur and Yodzis 2004, Ruokolainen et al. 2009).”