observed range for temporal mean-variance scaling exponents can be explained by reproductive correlation

The mean-variance scaling relationship known as Taylor's power law has been well documented empirically over the past four decades but a general theoretical explanation for the phenomenon does not exist. Here we provide an explanation that relates empirical patterns of temporal mean-variance sc...

Full description

Saved in:
Bibliographic Details
Published in:Oikos 2007, Vol.116 (1), p.174-180
Main Authors: Ballantyne IV, Ford, J. Kerkhoff, Andrew
Format: Article
Language:English
Subjects:
Animal and plant ecology
Animal populations
Animal reproduction
Animal, plant and microbial ecology
Biological and medical sciences
Correlation analysis
Covariance
Demecology
Demography
Forum
Fundamental and applied biological sciences. Psychology
General aspects
growth models
Mating behavior
Population dynamics
Population ecology
population growth
Population mean
Population size
Population studies
Power laws
reproductive behavior
Statistical variance
Theory
Variance analysis
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:The mean-variance scaling relationship known as Taylor's power law has been well documented empirically over the past four decades but a general theoretical explanation for the phenomenon does not exist. Here we provide an explanation that relates empirical patterns of temporal mean-variance scaling to individual level reproductive behavior. Initially, we review the scaling behavior of population growth models to establish theoretical limits for the scaling exponent b that is in agreement with the empirically observed range (1
ISSN:0030-1299
1600-0706
DOI:10.1111/j.2006.0030-1299.15383.x