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Biology · Population Ecology & Life-History Patterns

Births, deaths, age structure and life tables

A census begins with eighty living members and ends with ninety. Ten more are present, but that net change does not tell us how many were born or arrived. Demography opens the account: it follows the events and composition that can change a population.

Organisms, Environments & Ecological Niches introduces ecological scales, habitat and the distinction between observation and inference. Begin here with the counts and ordinary arithmetic. The mathematics explanations of functions and exponentials are optional preparation for the growth lesson; its multiplier-versus-slope explanation can be read before derivatives. Return to Animal Reproduction, Development & Life Histories and Evolutionary Processes & Adaptation for reproductive outcome stages and the evidence needed to connect demographic differences to selection.

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By the end, you can

Balance a defined population interval and calculate age-specific contributions and cohort fractions with their correct conditioning sets.

01

Balance all changes across the same boundary

Over a fixed census interval, births and immigration add living members; deaths and emigration remove them. Immigration means entry across the chosen population boundary, and emigration means departure across it. Death is a change in living status rather than a geographic crossing. Count every component over the same interval and for the same species and membership definition.

The balance is ending N = starting N + births − deaths + immigration − emigration. These terms are event counts over an interval. A rate divides a count or change by a stated time or other denominator. Calling a count a rate without giving its interval can make comparisons misleading.

Equal births and deaths therefore do not guarantee unchanged local abundance when net migration is nonzero. Conversely, a population could have many births, deaths and movements while its ending total equals its starting total. A stable total is a net result, not evidence that nothing happened.

Four changes across a defined census interval

Four changes across a defined census intervalBirths and immigration add individuals, while deaths and emigration remove them from the defined living population.Inside the fixed population boundaryOutside thepopulationboundary65187105Initial livingpopulation80Births insidethe boundary18Arrivals fromoutside7Ending livingpopulation90Deaths of initialmembers10Departuresto outside5N(end) = N(start) + B − D + I − E80 + 18 − 10 + 7 − 5 = 90Change divided by initial abundance: 10/80 = 0.125Death and boundary crossing are different eventsOne defined census intervalOriginal complete ledger for one species inside a fixed boundary.Ten deaths and five departures remove distinct initial individuals;all eighteen new births and seven immigrants remain alive inside atthe ending census. No additional events or detection errors.
A death removes a living member without being a geographic departure. Moving between patches inside this boundary is not immigration or emigration for this regional account.
Read the diagram in words

The ending count is 80 + 18 − 10 + 7 − 5 = 90. Sixty-five initial individuals carry over, joined by eighteen births and seven arrivals. Net change ten divided by initial eighty is 0.125.

Fixed geographic population boundary
Inside the fixed population boundaryInitial living population; Births inside the boundary; Deaths of initial members; Ending living population
Outside the population boundaryArrivals from outside; Departures to outside
Individuals
Initial living population80
Births inside the boundary18
Arrivals from outside7
Ending living population90
Deaths of initial members10
Departures to outside5
One defined census interval
One defined census intervalFixed geographic population boundaryIndividuals
Initial members alive inside at the ending censusInitial living population → Ending living population65
New living members born insideBirths inside the boundary → Ending living population18
Members entering from outsideArrivals from outside → Ending living population7
Initial members that diedInitial living population → Deaths of initial members10
Members leaving to outsideInitial living population → Departures to outside5

N(end) = N(start) + B − D + I − E

80 + 18 − 10 + 7 − 5 = 90

Change divided by initial abundance: 10/80 = 0.125

Death and boundary crossing are different events

Original complete ledger for one species inside a fixed boundary. Ten deaths and five departures remove distinct initial individuals; all eighteen new births and seven immigrants remain alive inside at the ending census. No additional events or detection errors.

02

A total hides the members able to contribute

Age structure describes how many members are in specified age groups. Stage structure can instead classify states such as seed, juvenile and reproductive adult. A group’s survival or reproductive contribution can differ from another’s, so populations with the same total can have different near-term changes.

In the supplied example, both populations start at 100. A has 50 younger,30 reproductive and 20 older members; B has 20, 60, 20. Applying the same assigned class-specific contributions gives different totals. The comparison does not say that age alone fixes births: the rates and outcome definitions are also supplied.

Survivors listed by starting age class are not being frozen at that age. They age during the interval. A forecast of the next age distribution would need transitions between classes as well as survival and recruits. Sex composition, reproductive state and environmental conditions can also matter; a simple total cannot substitute for those details.

The same total can have different demographic contributions

The same total can have different demographic contributionsTwo populations each begin with one hundred members. The same assigned class-specific survival and recruitment values act on different starting age compositions.Younger starting classReproductive starting classOlder starting classAssigned population AStarting members50302050 + 30 + 20 = 100Survivors from this starting class40271040 + 27 + 10 = 77New recruits reaching the ending census300 + 30 + 0 = 30All living members at the ending census: 77 + 30 = 107Assigned population BStarting members20602020 + 60 + 20 = 100Survivors from this starting class16541016 + 54 + 10 = 80New recruits reaching the ending census600 + 60 + 0 = 60All living members at the ending census: 80 + 60 = 140Younger starting class: Assigned fraction surviving the interval0.8; Recruits per starting member of this class 0Reproductive starting class: Assigned fraction surviving theinterval 0.9; Recruits per starting member of this class 1Older starting class: Assigned fraction surviving the interval 0.5;Recruits per starting member of this class 0Assigned individualsAge composition alone does not determine change withoutdemographic ratesOriginal nonhuman teaching populations, complete starting classesand one interval. Class-average recruitment is counted perstarting member; all recruits enter the ending census. Nomigration, inherited trait, sex-ratio inference, age-transitionmatrix or later trajectory. Surviving members are classified bytheir starting class, not assumed to remain in that age class.
This is an aggregate one-interval account. It does not claim that surviving individuals stay in their original age category or that all members of a reproductive class individually produce offspring.
Read the diagram in words

Population A begins with 50, 30, 20 members by starting class and ends with 77 survivors plus 30 recruits, total 107. Population B begins with 20, 60, 20 and ends with 80 survivors plus 60 recruits, total 140. Both start at 100 and use the same assigned class-specific rates.

Class at the starting census
Class at the starting censusAssigned fraction surviving the intervalRecruits per starting member of this class
Younger starting class0.80
Reproductive starting class0.91
Older starting class0.50
Assigned population A
Class at the starting censusStarting membersSurvivors from this starting classNew recruits reaching the ending census
Younger starting class50400
Reproductive starting class302730
Older starting class20100
All living members at the ending census
Starting members100
Survivors from this starting class77
New recruits reaching the ending census30
All living members at the ending census77 + 30 = 107
Assigned population B
Class at the starting censusStarting membersSurvivors from this starting classNew recruits reaching the ending census
Younger starting class20160
Reproductive starting class605460
Older starting class20100
All living members at the ending census
Starting members100
Survivors from this starting class80
New recruits reaching the ending census60
All living members at the ending census80 + 60 = 140

Assigned individuals

Age composition alone does not determine change without demographic rates

Original nonhuman teaching populations, complete starting classes and one interval. Class-average recruitment is counted per starting member; all recruits enter the ending census. No migration, inherited trait, sex-ratio inference, age-transition matrix or later trajectory. Surviving members are classified by their starting class, not assumed to remain in that age class.

03

Keep conditional mortality separate from survivorship

A cohort is a group defined by a shared starting event, such as birth in a specified period. Following the same birth cohort records how many remain alive as it ages. A life table organises survival, death and sometimes reproductive information by age or interval. A table built from a followed cohort differs from an age snapshot containing members born in different years.

Conditional interval mortality divides deaths during an interval by the number alive at its start. Original-cohort survivorship divides the survivors at a census by the original starting number. The denominators answer different questions: among those who reached this interval, what fraction died; and of those present originally, what fraction remains?

For the original hundred-member cohort, surviving counts are 80, 40, 10, 0 after successive intervals. These are complete known fates. If an animal vanished from an observation record, disappearance could instead involve emigration or failure to detect it; the cohort arithmetic would then require additional information.

A conditional mortality fraction over one interval is not an instantaneous death hazard, and it is not a detection probability. Survivorship curves can describe early, approximately constant or later concentration of mortality under defined conditions. Such shapes summarise a record; they are not fixed laws assigned to every member of a broad taxonomic group.

Mortality and survivorship use different denominators

Mortality and survivorship use different denominatorsOne original cohort starts with one hundred individuals and has eighty, forty, ten and zero survivors after successive intervals.Surviving members of the original cohort02040608010001234Assigned time intervalsDeaths divided by interval entrantsFraction of the named conditioning set00.250.50.7511234Assigned intervalSurvivors divided by interval entrantsFraction of the named conditioning set00.250.50.7511234Assigned intervalSurvivors divided by the original cohortFraction of the named conditioning set00.250.50.7511234Assigned intervalAssigned interval 1: Deaths divided by interval entrants 20/100 =0.2; Survivors divided by the original cohort 80/100 = 0.8Assigned interval 2: Deaths divided by interval entrants 40/80 =0.5; Survivors divided by the original cohort 40/100 = 0.4Assigned interval 3: Deaths divided by interval entrants 30/40 =0.75; Survivors divided by the original cohort 10/100 = 0.1Assigned interval 4: Deaths divided by interval entrants 10/10 =1; Survivors divided by the original cohort 0/100 = 0Known fates are supplied; disappearance alone would not establishdeathOriginal closed birth cohort with complete known fates, no newentrants, migration or undetected members. Four equal assignedtime intervals; mortality fractions are interval-conditional, notinstantaneous hazards or detection probabilities.
A census-age life table and a followed birth cohort are different records. The supplied complete cohort permits these exact denominators without an inference about detection.
Read the diagram in words

Deaths are 20, 40, 30, 10 and sum 100. Conditional mortality is 20/100, 40/80, 30/40, 10/10. Survival from the original hundred at the four interval ends is 0.8, 0.4, 0.1, 0. Conditional survival products reproduce the original-cohort fractions.

Surviving members of the original cohort
Assigned time intervalsSurviving members of the original cohortSurvivors divided by the original cohort
0100100/100 = 1
18080/100 = 0.8
24040/100 = 0.4
31010/100 = 0.1
400/100 = 0
Mortality and survivorship use different denominators
Assigned intervalAlive at the start of this intervalDeaths during this intervalAlive at the end of this intervalDeaths divided by interval entrantsSurvivors divided by interval entrantsSurvivors divided by the original cohort
1100208020/100 = 0.280/100 = 0.880/100 = 0.8
280404040/80 = 0.540/80 = 0.540/100 = 0.4
340301030/40 = 0.7510/40 = 0.2510/100 = 0.1
41010010/10 = 10/10 = 00/100 = 0

Fraction of the named conditioning set

Known fates are supplied; disappearance alone would not establish death

Original closed birth cohort with complete known fates, no new entrants, migration or undetected members. Four equal assigned time intervals; mortality fractions are interval-conditional, not instantaneous hazards or detection probabilities.

Worked example

Follow two different sets of denominators

The population ledger ends at 80 + 18 − 10 + 7 − 5 = 90. In this constructed account, ten deaths and five departures remove distinct initial members, leaving 65. The 18 births and 7 immigrants all remain, so 65 + 18 + 7 = 90.

In the separate cohort, the second interval starts with 80 and ends with 40. Its 40 deaths give conditional mortality 40/80 = 0.5. Forty survivors divided by the original 100 give survivorship 0.4. The first interval’s survival 0.8 multiplied by the second interval’s conditional survival 0.5 also gives 0.4.

Population A in the age example has 40 + 27 + 10 = 77 survivors and 30 recruits, total 107. B has 16 + 54 + 10 = 80 survivors and 60 recruits, total 140. Both began at 100; the larger reproductive starting class matters here because the demographic contributions were held fixed.

Check your understanding

  1. A local population has equal birth and death counts but seven immigrants and five emigrants. Must its size stay unchanged?

    Show reasoning

    No. Births and deaths cancel, but net migration is+2. With no additional events, the ending population has two more members. The chosen boundary determines which movements count as migration.

  2. Forty individuals die in an interval entered by eighty members of an original hundred-member cohort. What are interval mortality and ending original-cohort survivorship?

    Show reasoning

    Interval mortality is 40/80 = 0.5. The ending survivors are 40, so original-cohort survivorship is 40/100 = 0.4. The numerators happen to match here, but the conditioning sets differ.

  3. Do the age-model counts show that the survivors remain in their starting age classes?

    Show reasoning

    No. Survivors are attributed to the class they occupied at the start. They can age or change stage. The model computes an aggregate ending total; the next age composition would require a transition account.

What to carry forward

A population total changes through a complete boundary ledger, while age composition and cohort denominators reveal different parts of that change.

References

Resources supporting this lesson’s explanations and examples.

  1. Biology 2e (2018; chapter 45, sections 45.1–45.4)Mary Ann Clark, Matthew Douglas and Jung ChoiTextbook chaptersopenstax.orgRead source