Predictions of Taylor's power law, density dependence and pink noise from a neutrally modeled time series

DOI10.1016/J.JTBI.2010.04.014zbMath1406.92668OpenAlexW2119464402WikidataQ30981272 ScholiaQ30981272MaRDI QIDQ1719997

Petr Keil, David Storch, James Rosindell, Tomáš Herben

Publication date: 12 February 2019

Published in: Journal of Theoretical Biology (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jtbi.2010.04.014

zbMATH Keywords

stochasticityspectral analysis\(1/f\) noiseneutral theory of biodiversitymean-variance scaling

Mathematics Subject Classification ID

Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Problems related to evolution (92D15) Sums of independent random variables; random walks (60G50) Ecology (92D40)

Related Items (1)

Heterogeneous `proportionality constants' -- a challenge to Taylor's power law for temporal fluctuations in abundance

Cites Work

• Neutral models with generalised speciation
• Simple stochastic models and their power-law type behaviour.
• Estimating \(1/f^{\alpha}\) scaling exponents from short time-series
• A Brief History of Generative Models for Power Law and Lognormal Distributions

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