why are there "lazy" ants?
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Submission for Sigma Xi Student Research ShowcaseTRANSCRIPT
Why are there “Lazy” ants?Explaining the occurrence of seemingly unproductive workers in social insects
D Charbonneau ▪ A Dornhaus
Most animals are “lazy”
“All cold-blooded animals and a large number of warm-blooded ones spend an unexpectedly large proportion of their time doing nothing at all, or at any rate, nothing in particular.”
-Elton 1927
Solitary animals
>50%Harvestmen
(Williams 1962)
85%Hummingbirds
(Wolf et al. 1975)
Social animals
60%Temnothorax ants
(Dornhaus et al. 2009)
Eusocial insects
Animals across a wide range of taxa, life histories and ecologies have been reported of spending >50% of their time resting
80%Honey bees
(Schmid-Hempel 1990)
70%Howling monkeys
(Smith 1977)
75%Lions
(Schaller 1972)
Most animals are “lazy”
“Laziness” in social animals
Inactivity in social animals is further complicated by social behaviors, such as division of labor and specialization
In groups, the amount of work required for the survival of an individual is dependent upon the amount of work done by others in the group.
division of labor
“Laziness” in social insects
Inactivity in social animals is particularly interesting because the colony can regulate the number of workers it produces
If >50% of the colony is inactive at any time, why would the colony produce so many apparently extraneous workers?
Workers are expensive to produce and maintain, so
there is a real cost to having “too many”
Why are there “Lazy” ants?
Model system used to answer this question:
The ant: Temnothorax rugatulus
Worker ant
Queen ant
Recording ant behavior
AntsWater
Food “Stone” wall
Sample unit: 5 minute HD videos
Behaviors and activity
BuildingForaging
Wandering outside nestBrood care
Self-GroomingGroom otherBe groomedTrophallaxis
EatingMoving but not active
Stationary and not active
Active
Wandering InsideInactive
Similar to: Cole, BES 1986
Observable task Activity category
Breaking down observable behavior into categories of activity
Defining “inactivity”
Colony-level inactivity:
Individual-level inactivity:
Mean proportion of time an individual worker spends inactive during one video
Mean individual-level inactivity within a colony
∑ time spent inactive by all ants in colony∑ of individual observation times
or
= % of colony time inactive
i.e. % of worker time inactive
Inactivity variesAt the individual-level
And at the colony-level
Colony 2 Colony 3
Inactivity variesMy work focuses on individual-level variation
And at the colony-level
Colony 2 Colony 3
Main question: How can we explain high levels of worker
inactivity?
Consistency of worker inactivity / Shift-workCan apparent individual-level variation in inactivity be explained by a bias in observation timescale?
Selfish worker reproductionIs worker ovary development positively correlated to individual-level inactivity?
Inactive workers as a reserve labor forceDo highly inactive workers become more active when the colony is presented with more work?
Inactivity in the field / Lab artifactDoes colony-level inactivity occur in the field at levels comparable to those observed in the lab?
Inactive workers facilitate communicationAre highly inactive workers actually performing a communication task?
Consistency of worker inactivity / Shift-workCan apparent individual-level variation in inactivity be explained by a bias in observation timescale?
Selfish worker reproductionIs worker ovary development positively correlated to individual-level inactivity?
Inactive workers as a reserve labor forceDo highly inactive workers become more active when the colony is presented with more work?
Inactivity in the field / Lab artifactDoes colony-level inactivity occur in the field at levels comparable to those observed in the lab?
Inactive workers facilitate communicationAre highly inactive workers actually performing a communication task?
Ecologically non-relevant explanati
ons
Main question: How can we explain high levels of worker
inactivity?
Consistency of worker inactivity / Shift-workCan apparent individual-level variation in inactivity be explained by a bias in observation timescale?
Selfish worker reproductionIs worker ovary development positively correlated to individual-level inactivity?
Inactive workers as a reserve labor forceDo highly inactive workers become more active when the colony is presented with more work?
Inactivity in the field / Lab artifactDoes colony-level inactivity occur in the field at levels comparable to those observed in the lab?
Inactive workers facilitate communicationAre highly inactive workers actually performing a communication task?
Functions of individual inactivity that are
detrimental to colony
fitness
Main question: How can we explain high levels of worker
inactivity?
Consistency of worker inactivity / Shift-workCan apparent individual-level variation in inactivity be explained by a bias in observation timescale?
Selfish worker reproductionIs worker ovary development positively correlated to individual-level inactivity?
Inactive workers as a reserve labor forceDo highly inactive workers become more active when the colony is presented with more work?
Inactivity in the field / Lab artifactDoes colony-level inactivity occur in the field at levels comparable to those observed in the lab?
Inactive workers facilitate communicationAre highly inactive workers actually performing a communication task?
Functions of individual inactivity that are
beneficial to colony fitness
Main question: How can we explain high levels of worker
inactivity?
Inactivity in the field / Lab artifactDoes colony-level inactivity occur in the field at levels
comparable to those observed in the lab?
We recorded behavior in the field and in the lab and compared overall
inactivity levels
p=0.38
Linear Mixed-Effects Model - Fixed-effects: Treatment (lab or field); Random effects: Colony/Date/Timepoint
There were no significant differences in inactivity between observations in the field and in the lab
Consistency of worker inactivity
Observations of variation in individual inactivity are just a snapshot in time
It’s possible that over longer timescales,
individual variation would
disappear
Can apparent individual-level variation in inactivity be explained by a bias in observation timescale?
Snapshot (large
variation)
Multiple observations
(little variation)
Theoretical frequency distributions
Consistency of worker inactivityCan apparent individual-level variation in inactivity
be explained by a bias in observation timescale?
8 am – 08:00h12 pm – 12:00h
4 pm – 16:00h8 pm – 20:00h
12 am – 24:00h 4 am – 28:00h
5 minute HD videos,every 4 hours,over 24 hours
Day
Night
Individually marked ants (Temnothorax rugatulus)
Individual marking allows workers to be tracked across multiple time points and days
Recording schedule
5 Colonies recordedon 3 separate days,within a 2 week period
p-valueAnt <0.0001Time period 0.24Ant x Time period 0.66
Linear Mixed-Effects Model - Fixed-effects: Time Step, Unique Ant ID, Time Step x Unique Ant ID; Random effects: Colony/Date/Timepoint
Consistency of worker inactivityCan apparent individual-level variation in inactivity
be explained by a bias in observation timescale?
there are consistent
differences in individual
inactivity levels
Even when observed over longer time periods and at different times of the day,
Overall freq. distributions of inactivity for each colony
Consistency of worker inactivity / Shift-workCan apparent individual-level variation in inactivity be explained by a bias in observation timescale?
Selfish worker reproductionIs worker ovary development positively correlated to individual-level inactivity?
Inactive workers as a reserve labor forceDo highly inactive workers become more active when the colony is presented with more work?
Inactivity in the field / Lab artifactDoes colony-level inactivity occur in the field at levels comparable to those observed in the lab?
Inactive workers facilitate communicationAre highly inactive workers actually performing a communication task?
Ecologically non-relevant explanati
ons
Inactivity can’t be explained by
Consistency of worker inactivity / Shift-workCan apparent individual-level variation in inactivity be explained by a bias in observation timescale?
Selfish worker reproductionIs worker ovary development positively correlated to individual-level inactivity?
Inactive workers as a reserve labor forceDo highly inactive workers become more active when the colony is presented with more work?
Inactivity in the field / Lab artifactDoes colony-level inactivity occur in the field at levels comparable to those observed in the lab?
Inactive workers facilitate communicationAre highly inactive workers actually performing a communication task?
Functions of individual inactivity that are
detrimental to colony
fitness
Future work will look at:
Functions of individual inactivity that are
beneficial to colony fitness
- and -
Selfish worker reproductionIs worker ovary development positively correlated
to individual-level inactivity?
Oocyte diam.In
activ
ity
Ovary dissections by undergraduate student Neil Hillis
To test this hypothesis, we will measure individual inactivity and then dissect
worker ovaries.
A positive relationship between inactivity and measures of ovary development (e.g. number of ovarioles, ovary length, diameter of largest oocyte) would suggest a reproductive conflict where highly inactive workers are conserving energy by avoiding work and putting that energy toward their own reproduction
Inactive workers as a reserve labor force
Can apparent individual-level variation in inactivity be explained by a bias in observation timescale?
We have preliminary evidence that inactivity might be linked to the amount of work
There is an apparent relationship between
colonies, their brood/worker ratios,
and colony-level inactivity.
Future work will involve manipulating “available work”:- Starvation - Increased brood- Predator- Wall destruction- Emigration
Linear Model - Fixed-effects: Brood/Worker ratio, Season of observation, and Colony
Inactive workers facilitate communication
Are highly inactive workers actually performing a communication task?
Deg. centrality
Inac
tivity
Info
rmat
ion
flow
20% laziest removed
20% randomremoved
Looking at network topology, we can determine whether highly inactive workers hold a highly central position
We will also do a removal experiment where the 20% laziest workers and 20% random workers are removed from colonies and measure whether information flow (Blonder & Dornhaus 2011) is lower in colonies with fewer inactive workers
Automated tracking developed by Dr. Shin at UNCC
Broader impacts
Emerging technologiesAutomated tracking allows us to gather large amounts of network data quickly. These can be used to investigate network topologies of social insect interaction networks. We can also look beyond interaction networks and answer novel questions, by creating innovative network types such as time-ordered and bipartite task networks (Charbonneau et al. 2013)
Knowledge about how animals allocate their time between inactivity, or rest, and other more active tasks provides insight into ecological trade-offs
Social insect colonies are evolved (and thus optimized) and highly successful organized complex systems. Our findings will be applicable to improving management strategies and information flow in human-made and biological networks (e.g. the internet, traffic, social groups, and neural networks).
Division of labor / work allocation
Ecological trade-offs
Thank you!
IOS-0841756IOS-1045239
GIDP-EIS
University of Arizona
Center for Insect Science
Undergraduate helpers (Andrew Scott, Alex Down, Matt Velazquez, Nicole Fischer, and Mary Levandowski)
Nicole Fischer, Mary Levandowski
Folks at UNCC (Min Shin, Corey Poff and Hoan Nguyen)
Dornhaus Lab