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Author  |
Naug, D. |
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Title |
Structure and resilience of the social network in an insect colony as a function of colony size |
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Journal Article |
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Year |
2009 |
Publication |
Behavioral Ecology and Sociobiology |
Abbreviated Journal |
Behav. Ecol. Sociobiol. |
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Volume |
63 |
Issue |
7 |
Pages |
1023-1028-1028 |
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Keywords |
Biomedical and Life Sciences |
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Abstract |
Social interactions are critical to the organization of worker activities in insect colonies and their consequent ecological success. The structure of this interaction network is therefore crucial to our understanding of colony organization and functioning. In this paper, I study the properties of the interaction network in the colonies of the social wasp Ropalidia marginata. I find that the network is characterized by a uniform connectivity among individuals with increasing heterogeneity as colonies become larger. Important network parameters are found to be correlated with colony size and I investigate how this is reflected in the organization of work in colonies of different sizes. Finally, I test the resilience of these interaction networks by experimental removal of individuals from the colony and discuss the structural properties of the network that are related to resilience in a social network. |
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Springer Berlin / Heidelberg |
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0340-5443 |
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Call Number |
Equine Behaviour @ team @ |
Serial |
5213 |
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Author |
Naug, D.; Arathi, H.S. |
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Title |
Sampling and decision rules used by honey bees in a foraging arena |
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Journal Article |
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Year |
2007 |
Publication |
Animal Cognition |
Abbreviated Journal |
Anim. Cogn. |
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Volume |
10 |
Issue |
2 |
Pages |
117-124 |
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Keywords |
Animals; Bees/*physiology; *Choice Behavior; Cooperative Behavior; *Feeding Behavior; Flight, Animal |
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Abstract |
Animals must continuously choose among various available options to exploit the most profitable resource. They also need to keep themselves updated about the values of all available options, since their relative values can change quickly due to depletion or exploitation by competitors. While the sampling and decision rules by which foragers profitably exploit a flower patch have attracted a great deal of attention in theory and experiments with bumble bees, similar rules for honey bee foragers, which face similar foraging challenges, are not as well studied. By presenting foragers of the honey bee Apis cerana with choice tests in a foraging arena and recording their behavior, we investigate possible sampling and decision rules that the foragers use to choose one option over another and to track other options. We show that a large part of the sampling and decision-making process of a foraging honey bee can be explained by decomposing the choice behavior into dichotomous decision points and incorporating the cost of sampling. The results suggest that a honey bee forager, by using a few simple rules as part of a Bayesian inference process, is able to effectively deal with the complex task of successfully exploiting foraging patches that consist of dynamic and multiple options. |
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Address |
Department of Biology, Colorado State University, Fort Collins, CO 80523, USA. dhruba@lamar.colostate.edu |
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English |
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1435-9448 |
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Notes |
PMID:16941157 |
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Call Number |
Equine Behaviour @ team @ |
Serial |
2441 |
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