Adaptive learning in non-social insects: from theory to field work, and back

被引:19
作者
Nieberding, Caroline M. [1 ]
Van Dyck, Hans [1 ]
Chittka, Lars [2 ,3 ]
机构
[1] Catholic Univ Louvain, Earth & Life Inst, Biodivers Res Ctr, Louvain, Belgium
[2] Queen Mary Univ London, Sch Biol & Chem Sci, London, England
[3] Inst Adv Study, Wissensch Kolleg, Wallotstr 19, D-14193 Berlin, Germany
关键词
OVIPOSITION BEHAVIOR; SOCIAL INFORMATION; SHORT-TERM; MEMORY; CONSEQUENCES; EVOLUTION; ABILITY; PREFERENCES; PERFORMANCE; BUTTERFLIES;
D O I
10.1016/j.cois.2018.03.008
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
We review the evidence that learning affects fitness in non-social insects. Early accounts date back from the 1970s and were based on field-based observational and experimental work, yet exploration of the ways in which various forms of learning increase fitness remains limited in non-social insects. We highlight the concerns that arise when artificial laboratory settings, which do not take the ecology of the species into account, are used to estimate fitness benefits of learning. We argue that ecologically-relevant experimental designs are most useful to provide fitness estimates of learning, that is, designs that include: firstly, offspring of wild-caught animals producing newly established stocks under relevant breeding conditions, combined with common-garden and reciprocal transplant experiments; secondly, the spatio-temporal dynamics of key ecological resources; and thirdly, the natural behaviours of the animals while searching for, and probing, resources. Finally, we provide guidelines for the study of fitness-learning relationships in an eco-evolutionary framework.
引用
收藏
页码:75 / 81
页数:7
相关论文
共 97 条
[1]  
[Anonymous], J ENTOMOLOGICAL SOC
[2]   Evolution of learning strategies in temporally and spatially variable environments: A review of theory [J].
Aoki, Kenichi ;
Feldman, Marcus W. .
THEORETICAL POPULATION BIOLOGY, 2014, 91 :3-19
[3]   Disentangling the co-structure of multilayer interaction networks: degree distribution and module composition in two-layer bipartite networks [J].
Astegiano, Julia ;
Altermatt, Florian ;
Massol, Francois .
SCIENTIFIC REPORTS, 2017, 7
[4]   Bumblebee social learning can lead to suboptimal foraging choices [J].
Avargues-Weber, Aurore ;
Lachlan, Robert ;
Chittka, Lars .
ANIMAL BEHAVIOUR, 2018, 135 :209-214
[5]   How do solitary bees forage in patches with a fixed number of food items? [J].
Bar-Shai, Noam ;
Keasar, Tamar ;
Shmida, Avi .
ANIMAL BEHAVIOUR, 2011, 82 (06) :1367-1372
[6]   Embracing multiple definitions of learning [J].
Barron, Andrew B. ;
Hebets, Eileen A. ;
Cleland, Thomas A. ;
Fitzpatrick, Courtney L. ;
Hauber, Mark E. ;
Stevens, Jeffrey R. .
TRENDS IN NEUROSCIENCES, 2015, 38 (07) :405-407
[7]   Spread of Social Information and Dynamics of Social Transmission within Drosophila Groups [J].
Battesti, Marine ;
Moreno, Celine ;
Joly, Dominique ;
Mery, Frederic .
CURRENT BIOLOGY, 2012, 22 (04) :309-313
[8]   Evolutionary tipping points in the capacity to adapt to environmental change [J].
Botero, Carlos A. ;
Weissing, Franz J. ;
Wright, Jonathan ;
Rubenstein, Dustin R. .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2015, 112 (01) :184-189
[9]  
CHITTKA L, 1992, J COMP PHYSIOL A, V170, P545
[10]   Tritrophic consequences arising from a host shift between apple and walnut in an oligophagous herbivore [J].
Collatz, Jana ;
Dorn, Silvia .
BIOLOGICAL CONTROL, 2013, 65 (03) :330-337