Species-abundance distributions and Taylor’s power law of fluctuation scaling

被引:0
|
作者
Joel E. Cohen
机构
[1] The Rockefeller University,Laboratory of Populations
[2] Columbia University,Earth Institute and Department of Statistics
[3] University of Chicago,Department of Statistics
来源
Theoretical Ecology | 2020年 / 13卷
关键词
Coefficient of variation; Fluctuation scaling; Order statistics; Spacings; Taylor’s law;
D O I
暂无
中图分类号
学科分类号
摘要
Two widely investigated areas of theory in ecology over the past half century are species-abundance distributions (SADs) and Taylor’s power law of fluctuation scaling (TL). This paper connects TL with a classic SAD, MacArthur’s broken-stick model. Each of these models is more than 60 years old, but apparently the connection has not been observed previously. For large numbers of species, the broken-stick model asymptotically obeys TL with exponent 2: the variance of species abundance equals the square of the mean species abundance. Equivalently, in the broken-stick model, the coefficient of variation of abundance is asymptotically 1. Because both the broken-stick model and TL have interpretations and applications beyond ecology, the connection established here has broader than purely ecological interest. This simple but previously unnoticed relationship between the broken-stick model and the power-law variance function raises the question of how other species-abundance distributions are related to power law or other variance functions.
引用
收藏
页码:607 / 614
页数:7
相关论文
共 50 条
  • [41] Scaling behaviour of braided active channels: a Taylor's power law approach
    De Bartolo, Samuele
    Rizzello, Stefano
    Ferrari, Ennio
    Frega, Ferdinando
    Napoli, Gaetano
    Vitolo, Raffaele
    Scaraggi, Michele
    Fallico, Carmine
    Severino, Gerardo
    [J]. EUROPEAN PHYSICAL JOURNAL PLUS, 2022, 137 (05):
  • [42] Species-abundance distributions of tree species varies along climatic gradients in China's forests (vol 9, rtv055, 2015)
    Zhang, Jiaxin
    Qiao, Xiujuan
    Liu, Yining
    Lu, Junmeng
    Jiang, Mingxi
    Tang, Zhiyao
    Fang, Jingyun
    [J]. JOURNAL OF PLANT ECOLOGY, 2016, 9 (02) : 240 - 240
  • [43] Generalized fluctuation relation for power-law distributions
    Budini, Adrian A.
    [J]. PHYSICAL REVIEW E, 2012, 86 (01):
  • [44] Heterogeneous 'proportionality constants' - A challenge to Taylor's Power Law for temporal fluctuations in abundance
    Kiflawi, Moshe
    Mann, Ofri
    Meekan, Mark G.
    [J]. JOURNAL OF THEORETICAL BIOLOGY, 2016, 407 : 155 - 160
  • [45] POWER-LAW DISTRIBUTIONS BASED ON EXPONENTIAL DISTRIBUTIONS: LATENT SCALING, SPURIOUS ZIPF'S LAW, AND FRACTAL RABBITS
    Chen, Yanguang
    [J]. FRACTALS-COMPLEX GEOMETRY PATTERNS AND SCALING IN NATURE AND SOCIETY, 2015, 23 (02)
  • [46] Taylor's law and heavy-tailed distributions
    Lindquist, W. Brent
    Rachev, Svetlozar T.
    [J]. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2021, 118 (50)
  • [47] Every variance function, including Taylor's power law of fluctuation scaling, can be produced by any location-scale family of distributions with positive mean and variance (vol 13, pg 1, 2020)
    Cohen, Joel E.
    [J]. THEORETICAL ECOLOGY, 2022, 15 (01) : 93 - 94
  • [48] A note on power-law scaling in a Taylor-Couette flow
    Lim, TT
    Tan, KS
    [J]. PHYSICS OF FLUIDS, 2004, 16 (01) : 140 - 144
  • [49] Abundance and distribution of fleas on desert rodents: linking Taylor's power law to ecological specialization and epidemiology
    Krasnov, BR
    Morand, S
    Khokhlova, IS
    Shenbrot, GI
    Hawlena, H
    [J]. PARASITOLOGY, 2005, 131 : 825 - 837
  • [50] Species interactions can explain Taylor's power law for ecological time series
    A. M. Kilpatrick
    A. R. Ives
    [J]. Nature, 2003, 422 : 65 - 68