Uncertainty and the Role of Information Acquisition in the Evolution of Context-Dependent Emigration

被引:65
|
作者
Bocedi, Greta [1 ]
Heinonen, Johannes [1 ]
Travis, Justin M. J. [1 ]
机构
[1] Univ Aberdeen, Sch Biol Sci, Aberdeen AB24 2TZ, Scotland
来源
AMERICAN NATURALIST | 2012年 / 179卷 / 05期
关键词
information; context-dependent dispersal; uncertainty; cost of information; emigration; environmental stochasticity; STABLE DISPERSAL STRATEGIES; HOST-PARASITOID SYSTEMS; INDIVIDUAL-BASED MODEL; CONSPECIFIC ATTRACTION; POPULATION-DENSITY; CLIMATE-CHANGE; ENVIRONMENTAL CORRELATION; CONDITIONAL DISPERSAL; HABITAT PERSISTENCE; PATCHY ENVIRONMENTS;
D O I
10.1086/665004
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
There is increasing empirical evidence that individuals utilize social and environmental cues in making decisions as to whether or not to disperse. However, we lack theory exploring the influence of information acquisition and use on the evolution of dispersal strategies and metapopulation dynamics. We used an individual-based, spatially explicit simulation model to explore the evolution of emigration strategies under varying precision of information about the natal patch, cost of information acquisition, and environmental predictability. Our findings show an interesting interplay between information use and the evolved emigration propensity. Lack of information led to higher emigration probabilities in more unpredictable environments but to lower emigration probabilities in constant or highly predictable scenarios. Somewhat-informed dispersal strategies were selected for in most cases, even when the acquisition of information was associated with a moderate reproductive cost. Notably, selection rarely favored investment in acquisition of high-precision information, and the tendency to invest in information acquisition was greatest in predictable environments when the associated cost was low. Our results highlight that information use can affect dispersal in a complex manner and also emphasize that information-acquisition behaviors can themselves come under strong selection, resulting in evolutionary dynamics that are tightly coupled to those of context-dependent behaviors.
引用
收藏
页码:606 / 620
页数:15
相关论文
共 50 条
  • [1] Context-dependent acquisition of territories by male collared lizards: the role of mortality
    Baird, Troy A.
    Curtis, Jennifer L.
    BEHAVIORAL ECOLOGY, 2010, 21 (04) : 753 - 758
  • [2] The context-dependent role model
    Vallejos, Jorge
    Ebraert, Peter
    Desmet, Brecht
    Van Cutsem, Tom
    Mostinckx, Stijn
    Costanza, Pascal
    DISTRIBUTED APPLICATIONS AND INTEROPERABLE SYSTEMS, PROCEEDINGS, 2007, 4531 : 1 - +
  • [3] Context-dependent discrimination and the evolution of mimicry
    Holen, OH
    Johnstone, RA
    AMERICAN NATURALIST, 2006, 167 (03): : 377 - 389
  • [4] Context-Dependent Acquisition of Copulatory Behavior in the Male Rat: Role of Female Availability
    Ismail, Nafissa
    Zhao, Yue
    Pfaus, James G.
    BEHAVIORAL NEUROSCIENCE, 2008, 122 (05) : 991 - 997
  • [5] CONTEXT-INDEPENDENT AND CONTEXT-DEPENDENT INFORMATION IN CONCEPTS
    BARSALOU, LW
    MEMORY & COGNITION, 1982, 10 (01) : 82 - 93
  • [6] Context-dependent information space for construction information processes
    Hilbert, F.
    Schuelbe, R.
    Fuchs, S.
    SUSTAINABLE BUILT ENVIRONMENT D-A-CH CONFERENCE 2019 (SBE19 GRAZ), 2019, 323
  • [7] Context-Dependent Role of IKKβ in Cancer
    Page, Angustias
    Navarro, Manuel
    Suarez-Cabrera, Cristian
    Bravo, Ana
    Ramirez, Angel
    GENES, 2017, 8 (12)
  • [8] Context-dependent role of SWI/SNF
    Sarah Seton-Rogers
    Nature Reviews Cancer, 2014, 14 (1) : 9 - 9
  • [9] Context-dependent information processing in patients with schizophrenia
    Bazin, N
    Perruchet, P
    Hardy-Bayle, MC
    Feline, A
    SCHIZOPHRENIA RESEARCH, 2000, 45 (1-2) : 93 - 101
  • [10] REPRESENTING CONTEXT-DEPENDENT INFORMATION IN CULTURAL COLLECTIONS
    Gergatsoulis, Manolis
    Lilis, Pantelis D.
    Lourdi, Irene
    Papatheodorou, Christos
    INTERNATIONAL JOURNAL OF SEMANTIC COMPUTING, 2009, 3 (02) : 255 - 276