Dominance, conflict and association Flashcards

Group living 4

1
Q

Dominance hierarchies

A

In many social species, the relationships between pairs of individuals are asymmetrical.

Animals compete for valued resources: food, shelter, mates, status, territory

Observations of competitive interactions between ‘every’ pair in group:

Often seems that one individual tends to supplant all others, whereas another is supplanted by all others. In between the top and bottom ranking animals are animals that supplant some but are supplanted by others = a dominance hierarchy.

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2
Q

Computing dominance

A

First decide on what observations to make:
–What constitutes a dominance interaction?
–Depends on species, context, resources etc etc.

(See lectures on doing behavioural observations)

Re-arrange recorded observations so that the individual that is never supplanted is at the top & the one that is always supplanted is at the bottom.

Orre-arranged in order until minimum number of supplants appears on the left-hand side of the diagonal.

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3
Q

Properties of dominance hierarchies

A

*In a perfectly linear hierarchy.
^all dyadic relationships must be asymmetric, all possible triadic relationships must be transitive
(Transitive = sequential)
In reality, few dominance hierarchies are perfectly linear

*Often reversal occur - this is when an apparently subordinate individuals wins an encounter with a normally dominant individual.

Often:
Some individuals of equal status
Some relationships NOT transitive

(see diagram of Northern elephant seal hierarchy in notes)

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4
Q

Why do reversals occur?

A

Reversal = when an apparently subordinate individuals wins an encounter with a normally dominant individual.

Can occur due to:

Intrinsic effects e.g.
*in some groups two or more individuals may have equal or very similar status.
*changes in age /condition / health.
*Perceived value of resource
*follow on effects.

Extrinsic effects
*e.g. topography/habitat.
*Location (e.g. in own territory vs. out of it)
*Context (relates to what observations you base your calculation of dominance on e.g. competition for food cf. mates cf. grooming, etc).

Random effects:
*mistakes (by the animals)
*mistakes by the observer!

Dominance is not necessarily a fixed attribute, dominance relations are often fluid (flexible) and capable of rapid change

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5
Q

Dominance hierarchies: Quantifying linearity

A

Landau’s index of linearity (h) (see equation in notes)
- h value ranges from 0.0 to 1.0. (1.0 = perfect linearity).
- values of h > 0.9 denote a strongly linear hierarchy.

More complex modifications of this now exist (e.g. De Vries 1995), but this is the basic principle

e.g. In a study of hyenas: Relatively linear hierarchy observed with some reversals in mid/low ranking individuals with clearer dominancy in alphas

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6
Q

Dominance hierarchies: cautions

A

–high probability that any data set can be arranged to form a linear dominance hierarchy when none exists in reality (Appleby, 1983).

–especially when group is small – i.e. easy to juggle data until the best hierarchy is obtained.

e.g.: 5 or less individuals: perfect linear hierarchy can be obtained by chance (p > 0.05) even when the underlying dominance relationships are actually random.

Need at least 6 individuals to show statistically significant linearity – more if there are reversals!

–So, need a good sample size of individuals
–Or, repeated observations.

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7
Q

Dominance rank

A

*Dominance Rank: the index (order) of dominance status assigned to each individual.

–i.e. dominance is measured on an ordinal (ranking) scale,

*No indication of the magnitude of the difference in dominance status between two individuals.

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8
Q

Other ways of calculating dominance

A

Examples:
Boyd & Silk (1983)
I&SI (De Vries)
David’s Score
^ measuring dominance on an interval scale

-> difference in dominance between 2 individuals can be quantified and tested for statistical significance. This is useful for describing hierarchies that are not highly linear.

The issue with dominance hierarchy models is that they rely on clear win/loss outcomes – in many conflict situations not losing (drawing) can be as important if not more than losing

Analyse any asymmetric interactions involving actor & recipient, e.g. grooming, food-sharing.

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9
Q

Dominance is not necessarily a fixed attribute

A

Dominance relations are often fluid and capable of rapid change, they are affected by:

*Age
*Location (e.g. in own territory vs. out of it)
*Context (relates to what observations you base your calculation of dominance on e.g. competition for food cf. mates cf. grooming, etc).

What observations should be used?

Fights only (escalated contests)?
Or all aggressive interactions?
Win/lose only? or draws also?

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10
Q

What can we do with dominance scores?

A
  • Relate them to fitness e.g. Assam Macaques (Ostner et al. 2011) dominant individuals have higher mating success.
  • Assess how dominance hierarchies affect stress levels e.g. Bergman et al. 2005: Chacma baboons (Papio hamadryas ursinus) - cost of dominance
    They noted periods when stable dominance hierarchies existed & when changes occurred in the dominance hierarchy (e.g., when a new male became dominant).
    Method:
    Feacal samples used to assess glucocorticoid levels of individuals
    Conclusion:
    Aggression & stress levels lowest during periods of stable dominance hierarchy
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11
Q

Conflict behaviour: Fighting behaviour and game theory

A

Additional realism:
- Fighting behaviour should also be affected by the (perceived) value of the contested resource
-expect higher intensity fights over more valuable resources.
- individuals differ in their fighting ability = Resource holding power (RHP)
–reflects the fitness budget available to a contestant during a fight.

  • Can individuals assess RHP asymmetries?

e.g. Does the potential fitness benefit of a particular mate affect the duration of fights between male red-spotted newts (Notophthalmus viridescens)? (Verrell 1986)

*Staged encounters between size-matched males over a female that varied in body mass
*Record duration of wrestling between the males
*Duration of wrestling was positively correlated with female body length
*i.e. males can adjust level of competition according to potential benefits (percieved value)

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12
Q

Game theory assessment models

A

Self-assessment models
- An individual engages in a contest until it reaches an internally determined cost threshold.
- First individual to reach its cost threshold loses the fight.

Mutual assessment models
- Individuals assess the relative fighting ability of their opponent.
- Each contestant references its own RHP relative to that of its opponent.
- Individual possessing the lower RHP can withdraw from the contest early on, reducing time, energy & risk of injury from engaging in a contest that it would lose.
- The individual with the higher RHP wins the fight.
- sequential assessment model is a type of mutualistic assessment e.g. seen in deer rut season (see notes)

see in notes, graphs by Gammell and Hardy 2003:
a)Self-assessment models predict contest duration increases with both loser and winner RHP.
b)Mutual-assessment models predict contest duration increases with loser RHP but declines with winner RHP

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13
Q

Determining a suitable game theory assessment:
example: Male fiddler crabs fight over burrows. Size of claw determines dominance

A

Does a mutual-assessment or self-assessment model best explain contest duration?

Methods:
- Staged contests between males of different RHP (measured by claw size)
- Examined correlations between claw size and contest duration.

Results:
- +ve correlation for both winner & loser

= self-assessment model (compare to graphs above)

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14
Q

Social associations

A

Dominance
–Separation of individuals (avoidance)
–Coexsitence in social groups

Association
- altruism and codependence

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15
Q

Measuring social associations

A

Indices of association:

*Quantify extent to which two individuals, A and B, associate with each other.
*Assess number of separate occasions that A and B are seen together,
*Also, the number of separate occasions that A is seen on its own and the number of separate occasions that B is seen on its own.

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16
Q

Social association definitions: together and separate occasions

A

‘separate occasions’
e.g. 30 second scan samples of slugs - is each scan sample an independent measure of association?

‘together’ definition depends on study & species:
–are animals in bodily contact?
–within one body-length of each other?
–within visual contact, within auditory contact…. etc..

17
Q

Measuring social associations

A

A basic index of association:

       NAB/ (NA + NB + NAB) 
  • NAB = No. occasions A and B are seen together;
  • NA = No. occasions A seen without B;
  • NB = No. occasions B seen without A.

*Ranges between 0 (no association) & 1 (complete association).
*0.5 means that the two animals are seen apart as often as they are seen together.

18
Q

Limitations of social associations

A
  • chance level of association not easily calculated (e.g. grey seal site fidelity).
    –estimated roughly from the likely constraints on the random movements of two independent bodies.
    –But, depends on size of area individuals use and speed of movement
    –larger the area -> less likely to meet by chance.

*index of association is restricted to making comparisons between, e.g. sexes or different age classes

19
Q

To compute significance more computationally complex coefficients of association have been devised

A

e.g. network analysis of elepant groups
by Clutton-Brock et al., 1982, p. 47

and more recently: computation of social networks e.g. SOCPROG: Whitehead 2009 and Sociograms and network analysis

20
Q

Measuring social associations: network analysis

A

Field of “network analysis”
- network analyses build on dyadic interactions
- graphical representation of linkages between dyads
- usually based on a single measure of association (with respect to a specified type of interaction)

Rates and patterns of spread
–disease
–information

Depend on connectedness beyond pairs
–i.e. networks of connectedness

Network analyses can be used to ask (e.g.):
–How do social associations change over time?
–How does information through social groups?
–How do social connections influence fitness?

21
Q

How do social networks change over time? example

A

Schel et al. (2013) 2 chimp troupes were merged gradually stating with subordinate individuals and introducing dom males last

Initially both groups are quite separate with one individual connecting the troupes, over time the two troupes become interconnected

*integrating Chimp groups from Edinburgh zoo & Dutch safari park
*often difficult; enforced association can lead to high levels of violence
*gradual process: monitoring for months after initial integration

22
Q

How does information move through social groups? Example: Great tits opening milk

A

Great tits (Parus major)

*Birds began opening milk bottles in the ~1920s in Britain (Swaythling, Southampton)–a foraging tradition which spread rapidly

*Aplin et al. 2015, Nature: How do foraging “traditions” spread in great tits?
^ to test how info moves through social networks
*Set out feeding stations and recorded co-occurrences of individuals during feeding events
*Weighted links in networks according to proportion of co-occurrence

Methods:
Phase 1: Training period
*Control birds: no training
*Treatment birds: trained to approach feeder from one side

Phase 2: Experimental period
*Reintroduce trained birds, automatically record IDs (using PIT tags) of individuals feeding and the approach tactic they took.
*All approach tactics possible at each feeder

Results:
*Training increased the spread of ‘solving’ feeding apparatus
*Learners chose culturally ‘seeded’ variants
* information diffused through social networks

This has also been observed in bumblebees as they can learn to solve puzzles by observing their peers

23
Q

How do social connections influence fitness?

A

Example: Long-tailed manakins (Chiroxiphia linearis)
*Lek mating system (males provide no care at all)
*Males begin by playing supporting roles at courtship arenas
*It takes up to 10 years for males to move up to ‘alpha’ rank

How do males move through the ranks?

24
Q

How do social connections influence fitness?

A

Males with higher information centrality scores were more likely to rise in social ranks* than males with lower scores.
*(e.g., rise to alpha status)
Early life connections are most important

25
Q

Maintenance of proximity

A

*Association: relative number of times 2 individuals in some pre-defined proximity.
*But which individual is responsible for maintaining proximity? One of both?

e.g. mum & pup seals: Is proximity due to the movements of one member of the dyad rather than the other?
–Count no. occasions A approaches or leaves B, while the B remains still.

*But, both could be moving.
*Key question is: which individual’s movements produced a crossing of an imaginary circle of specified radius around the other individual?
–What size is the circle?

*Number of occasions when the pair came together or were separated as the result of each individual’s movements can then be obtained.

26
Q

Maintenance of proximity: Index for individuals A & B

A

A’s responsibility for proximity =

UA/(UA + UB) - SA/(SA + SB)

UA = No. occasions when the pair were united by A’s movements
UB = No. occasions when the pair were united by B’s movements
SA = No. occasions when the pair were separated by A’s movements
SB = No. occasions when the pair were separated by B’s movements

*The index ranges from -1 to +1
-1 = B totally responsible for maintaining proximity
+1 = A totally responsible).
0 = A and B equally responsible for maintaining proximity

Again: useful for making comparisons.

e.g. does role of a rhesus monkey mother in maintaining contact with her offspring steadily decline as the offspring gets older (Hinde & Atkinson, 1970)?

27
Q

Dominance and associations

A

*Some simple measures derived from targeted observations

–More advanced, computationally intense versions

*But, even these simple metrics allow examination of social roles & interactions within groups, and determinants of these roles/interactions.