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Biology · Behaviour, Communication & Social Life

Mate choice, sexual selection and reproductive behaviour

Suppose one animal attracts several partners while another has fewer partners but more attributed offspring. A mating count, a preference and reproductive success describe different parts of the story. None is automatically a measure of strength or proof of a genetic advantage.

Nervous Systems, Senses & Movement supplies the sensory and motor context. Evolutionary Processes & Adaptation introduces heritable variation, selection and fitness. Begin with the first lesson and the ordinary numerical examples; return to those chapters when a mechanism or evolutionary comparison needs more detail. Animal Reproduction, Development & Life Histories is an optional return path for reproductive timing and the distinction between resource expenditure and lifetime outcomes.

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By the end, you can

Relate mate choice and reproductive competition to specified outcomes while distinguishing observed associations, parentage and evolutionary change.

01

Selection concerns reproductive consequences

Sexual selection concerns differences in reproductive success associated with competition over mating or fertilisation. Mate choice and competition among potential partners can interact. Competition can occur through access, timing or post-mating processes rather than only through visible fighting.

A preference is a tendency to respond differently to available alternatives under a specified comparison. It does not by itself show that a preferred trait is heritable, increases survival or produces more offspring. Those links need their own evidence.

Roles differ among species and settings. Either sex can compete or exercise choice, and the same individual can do both. Selected research on two-spotted gobies reports male preference involving female coloration. That bounded example challenges a fixed rule that females always choose while males only compete; it does not provide a rule for all fish.

02

Count the outcome that the claim needs

The model follows five focal individuals in a stipulated sexual reproductive setting. Their distinct mate counts are zero, one, one, three and five. Attributed offspring counts are zero, one, three, two and four. Counterpart partners are outside this focal set, and no closed mating network is implied.

Both totals are ten, yet the individual records differ. One focal individual with one mate has three offspring, while another with three mates has two. Observed access and realised reproductive output are related quantities without a one-to-one conversion.

Parentage, observation completeness, offspring survival and the chosen interval can affect an actual record. At a stated male–female association scale, monogamy describes one partner per individual, polygyny one male with several females, and polyandry one female with several males; multi-partner systems can involve several partners in both roles. A social pair bond need not identify genetic parentage. These labels describe associations rather than care duties, motives or moral rankings.

Equal totals can hide different individual outcomes

Equal totals can hide different individual outcomesFive focal individuals retain separate mate and attributed-offspring counts. The descriptive variance calculations use the same complete five-record denominator.Attributed offspring00112233445512345Distinct mates1: Focal individual one2: Focal individual two3: Focal individual three4: Focal individual four5: Focal individual fiveMean per focal individual: Distinct mates in the interval 10/5 = 2Mean per focal individual: Attributed offspring in the interval10/5 = 2Σ(x − mean)² / NPopulation variance of the supplied complete set: Distinct mates inthe interval 16/5 = 3.2Population variance of the supplied complete set: Attributedoffspring in the interval 10/5 = 2No sample correction or causal selection estimateOriginal complete focal set in an assigned sexual setting and oneobservation interval; counterpart mates outside the focal set. Nosource data, closed mating network, causal trait, samplinginference or hereditary effect.
Variation in a count does not identify which trait caused the outcome or how a population will evolve.
Read the diagram in words

Mate counts 0/1/1/3/5 and offspring counts 0/1/3/2/4 both sum to ten and average two. Their squared-deviation totals are sixteen and ten; dividing by five gives variances 3.2 and 2. The focal individual with one mate and three offspring differs from the one with three mates and two offspring.

Equal totals can hide different individual outcomes
Tracked focal identityDistinct mates in the intervalAttributed offspring in the interval
Focal individual one00
Focal individual two11
Focal individual three13
Focal individual four32
Focal individual five54
Mean per focal individual
Distinct mates in the interval10/5 = 2
Attributed offspring in the interval10/5 = 2
Population variance of the supplied complete set
Distinct mates in the interval16/5 = 3.2
Attributed offspring in the interval10/5 = 2

Σ(x − mean)² / N

No sample correction or causal selection estimate

Original complete focal set in an assigned sexual setting and one observation interval; counterpart mates outside the focal set. No source data, closed mating network, causal trait, sampling inference or hereditary effect.

03

Twenty observations need not mean twenty independent choosers

A second original record supplies ten chooser identities, each with two observations involving alternatives X and Y. Eight identities choose X twice; two choose X once and Y once. The eighteen X choices out of twenty describe the observation record.

The animal identity remains visible because repeated choices by one individual can be related. Treating twenty observations as twenty independent animals would discard that structure. A large observed fraction also does not establish a causal effect of the alternatives' traits or a population-wide preference.

A comparison needs to address opportunity and context as well as who was chosen. Availability, prior experience and other correlated features can influence behaviour. The model supplies labels X and Y only, without a colour, genotype, sex-role assumption, experimental treatment or offspring consequence.

Twenty choices belong to ten identities

Twenty choices belong to ten identitiesEach of ten chooser identities contributes exactly two assigned observations. The individual rows preserve repeated-observation structure beside the pooled choice counts.Chooser identityChoices of XChoices of YChooser 1XX0Chooser 2XX0Chooser 3XX0Chooser 4XX0Chooser 5XX0Chooser 6XX0Chooser 7XX0Chooser 8XX0Chooser 9XYChooser 10XYChoices of XChoices of YX fraction among all observations: 18/20 = 0.9Identities choosing X in both observations: 8/10 = 0.8Repeated observations need not be independentOriginal two-alternative choice labels and ten identities with twoobservations each. No actual animals, trait manipulation, causaleffect, independence assumption or offspring outcome.
Labels X and Y have no assigned colour, genotype or reproductive consequence. A pooled fraction retains its observation denominator.
Read the diagram in words

Eight identities choose X twice. Two identities choose X once and Y once. Totals are twenty observations, eighteen X and two Y; the X observation fraction is 0.9, while eight of ten identities choose X in both observations.

Twenty choices belong to ten identities
Chooser identityObservations from this chooserChoices of XChoices of Y
Chooser 1220
Chooser 2220
Chooser 3220
Chooser 4220
Chooser 5220
Chooser 6220
Chooser 7220
Chooser 8220
Chooser 9211
Chooser 10211
Twenty choices belong to ten identities
Choices of X18
Choices of Y2
X fraction among all observations18/20 = 0.9
Identities choosing X in both observations8/10 = 0.8

Repeated observations need not be independent

Original two-alternative choice labels and ten identities with two observations each. No actual animals, trait manipulation, causal effect, independence assumption or offspring outcome.

04

Variation is the start of an explanation

Unequal reproductive output provides variation on which a selection question can be based. Demonstrating a particular cause requires more than finding unequal numbers. The relevant trait, its association with outcomes and the surrounding alternatives need to be specified.

Evolutionary change additionally depends on inheritance and population context. A preferred display can carry costs in some settings, and a current advantage need not persist when resources, competitors or frequencies change. Reproductive success is not a universal rank of health, dominance or strength.

Behavioural descriptions remain biological comparisons with defined settings. They do not prescribe what human relationships should be or turn one species' mating system into a rule for another. The useful question is which mechanism and consequence the evidence actually connects.

Worked example

Equal means can hide different distributions

Each focal-record mean is ten divided by five, or two. For mate counts, deviations from two are −2, −1, −1, 1 and 3. Their squared deviations sum to 4 + 1 + 1 + 1 + 9 = 16; dividing by all five supplied records gives a population variance of 3.2.

For attributed offspring, deviations are −2, −1, 1, 0 and 2. Squared deviations sum to 4 + 1 + 1 + 0 + 4 = 10, giving population variance 2. These are descriptive variances of the complete assigned set, not estimates with a sampling correction.

Eighteen of twenty choice observations select X, or 0.9. There are still ten chooser identities, with eight always choosing X in the two observations and two showing one choice of each. Neither the variance comparison nor the choice fraction establishes a causal selection mechanism or a prediction for a new population.

Check your understanding

  1. Does more distinct mates guarantee more attributed offspring in the focal record?

    Show reasoning

    No. The individual with three mates has two attributed offspring, whereas one with one mate has three. These outcome counts need separate evidence and cannot be converted by a fixed rule.

  2. Does twenty choice observations from ten identities justify calling the sample twenty independent animals?

    Show reasoning

    No. Each identity contributes two observations, which can be related. The observed X fraction is 18/20 = 0.9, but there are ten distinct choosers.

  3. Does higher variance in mating counts prove which trait caused sexual selection?

    Show reasoning

    No. Descriptive variation does not identify a causal trait, its inheritance or its fitness effect. It defines a pattern needing further mechanistic and evolutionary evidence.

What to carry forward

Preference, mating opportunity, parentage and evolutionary change are connected through evidence rather than automatic conversions.

References

Resources supporting this lesson’s explanations and examples.

  1. Sexual selection and mating systems (PNAS 106 Suppl1:10009–10016, 2009; doi: 10.1073/pnas.0901132106)Stephen M. ShusterScientific reviewpmc.ncbi.nlm.nih.govRead source
  2. Male mate choice selects for female coloration in a fish (PNAS 98(23):13155–13160, 2001; doi: 10.1073/pnas.211439298)Trond Amundsen and Elisabet ForsgrenPrimary research articlepubmed.ncbi.nlm.nih.govRead source