A spatially explicit stochastic model demonstrates the feasibility of Wright's Shifting Balance Theory

被引:1
|
作者
Peck, SL
Ellner, SP
Gould, F
机构
[1] N Carolina State Univ, Dept Stat, Grad Program Biomath, Raleigh, NC 27695 USA
[2] N Carolina State Univ, Dept Entomol, Raleigh, NC 27695 USA
关键词
diffusion approximation; Sewall Wright; shifting-balance theory; stochastic simulation models; substructured populations;
D O I
10.2307/2411353
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
Recently there has been a resurgence of theoretical papers exploring Wright's Shifting Balance Theory (SBT) of evolution. The SET explains how traits which must pass through an adaptive valley may evolve in substructured populations. It has been suggested that Phase III of the SET (the spread of new advantageous traits through the populations) proceeds only under a very restricted set of conditions. We show that Phase III can proceed under a much broader set of conditions in models that properly incorporate a key feature of Wright's theory: local, random migration of discrete individuals.
引用
收藏
页码:1834 / 1839
页数:6
相关论文
共 50 条
  • [21] Theories that narrate the world: Ronald A. Fisher's mass selection and Sewall Wright's shifting balance
    Rosales, Alirio
    STUDIES IN HISTORY AND PHILOSOPHY OF SCIENCE, 2017, 62 : 22 - 30
  • [22] PRUNUS: a spatially explicit demographic model to study plant invasions in stochastic, heterogeneous environments
    Emmanuelle Sebert-Cuvillier
    Matthieu Simonet
    Valérie Simon-Goyheneche
    Frédéric Paccaut
    Olivier Goubet
    Guillaume Decocq
    Biological Invasions, 2010, 12 : 1183 - 1206
  • [23] PRUNUS: a spatially explicit demographic model to study plant invasions in stochastic, heterogeneous environments
    Sebert-Cuvillier, Emmanuelle
    Simonet, Matthieu
    Simon-Goyheneche, Valerie
    Paccaut, Frederic
    Goubet, Olivier
    Decocq, Guillaume
    BIOLOGICAL INVASIONS, 2010, 12 (05) : 1183 - 1206
  • [24] A spatially explicit stochastic model to simulate boreal forest cover transitions: general structure and properties
    Yemshanov, D
    Perera, AH
    ECOLOGICAL MODELLING, 2002, 150 (1-2) : 189 - 209
  • [25] Predicting Argentine ant spread over the heterogeneous landscape using a spatially explicit stochastic model
    Pitt, Joel P. W.
    Worner, Sue P.
    Suarez, Andrew V.
    ECOLOGICAL APPLICATIONS, 2009, 19 (05) : 1176 - 1186
  • [26] Deterministic approximation of stochastic spatially explicit model of actin-myosin interaction in discrete filament lattice
    Mishchenko, Artem M.
    Dotsenko, Olga I.
    Taradina, Galina V.
    GENERAL PHYSIOLOGY AND BIOPHYSICS, 2018, 37 (04) : 363 - 374
  • [27] Stationary distribution and ergodicity of stochastic Wright's mutualism model with regime switching
    Li, Xu
    STAT, 2022, 11 (01):
  • [28] Sediment Routing and Floodplain Exchange (SeRFE): A Spatially Explicit Model of Sediment Balance and Connectivity Through River Networks
    Gilbert, Jordan T.
    Wilcox, Andrew C.
    JOURNAL OF ADVANCES IN MODELING EARTH SYSTEMS, 2020, 12 (09)
  • [29] A Stochastic Mobility-Driven spatially explicit SEIQRD COVID-19 model with VOCs, seasonality, and vaccines
    Alleman, Tijs W.
    Rollier, Michiel
    Vergeynst, Jenna
    Baetens, Jan M.
    APPLIED MATHEMATICAL MODELLING, 2023, 123 : 507 - 525
  • [30] Decline of the Negev's Acacias - a spatially explicit simulation model as an aid for sustainable management
    Wiegand, K
    Jeltsch, F
    Ward, D
    Rohner, C
    ECOSYSTEMS AND SUSTAINABLE DEVELOPMENT, 1998, 1 : 63 - 72