University of Sydney · FACULTY OF BIOLOGY

BIOL1907 Chap.6 Individuals, Populations and Species

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Chapter 6 of 8 · BIOL1907

Individuals, Populations and Species

This chapter links individual morphology, physiology and behaviour to population outcomes. Fitness is treated as relative contribution to later generations, while demographic accounting separates births, deaths, immigration and emigration. Exponential and logistic models are compared through assumptions rather than curve labels.

The final section shows why biological, phylogenetic, ecological and morphological species concepts can classify the same evidence differently. An organism responds to its environment through an integrated combination of morphology, physiology and behaviour. Behaviour can change feeding success, predator avoidance and reproductive opportunity, but every strategy carries costs.

Fitness is relative contribution to later generations in a particular environment, not strength or survival alone. A risky display can raise mating success, while group living can improve detection yet increase competition or disease exposure. Population change aggregates individual outcomes and movement. The accounting identity adds births and immigration while subtracting deaths and emigration.

Counts become rates only when related to time and, where relevant, population size. The same net change can arise from different demographic processes, so abundance alone cannot reveal whether mortality, recruitment or movement drove the pattern. Growth models make assumptions visible. Exponential growth keeps a per-capita rate constant over the modelled interval, producing accelerating increase.

Logistic growth introduces density-dependent slowing toward a carrying level. Real environments change, populations fluctuate and different life stages can respond differently, so the fitted carrying level is conditional rather than an eternal ceiling. Stage or age structure can make equal totals biologically different.

A population with many reproductive adults may have a different trajectory from one dominated by non-breeding stages. Spatial structure also matters because local immigration can rescue a patch while regional abundance stays unchanged. Population viability analysis uses demographic rates, structure and uncertainty to estimate risk rather than treating one count as destiny.

Species classification depends on the question and evidence. The biological concept emphasises reproductive isolation, the phylogenetic concept distinguishes lineages, the ecological concept uses niche and the morphological concept uses form. Asexual organisms, fossils and hybridising taxa expose different limitations.

State the concept alongside the conclusion instead of implying that disagreement proves one observer is careless. Diversity interpretation also needs a defined metric. Richness counts species, whereas diversity indices may include evenness. Sampling effort and detectability change observed values, particularly for rare or mobile species.

Compare sites with consistent methods, distinguish a raw count from an estimate and avoid calling a community more diverse when only richness was measured. Revise this chapter by linking one behaviour to a demographic rate, one rate to a growth trajectory and one classification to its species concept. That chain preserves scale while showing how evidence accumulates.

In this chapter

What this chapter covers

  • 01

    Behaviour, adaptation and fitness

  • 02

    Population composition and demographic rates

  • 03

    Exponential and logistic growth

  • 04

    Stage structure and viability analysis

  • 05

    Species concepts, richness and diversity

Worked example · free

Reconcile population change

Q [4 marks]. A population starts at 200 with 50 births, 30 deaths, 12 immigrants and 7 emigrants. Find its new size and proportional change. These drill marks are not the University's official marking scheme.
Growth models encode different assumptions.Growth models encode different assumptions. Exponential growth keeps the per-capita rate constant, while logistic growth slows as density approaches a carrying level under the modelled conditions.exponentiallogisticcarrying leveltimepopulation size
Growth models encode different assumptions. Exponential growth keeps the per-capita rate constant, while logistic growth slows as density approaches a carrying level under the modelled conditions.
  • +1Apply 200 + 50 - 30 + 12 - 7.
  • +1The new population size is 225.
  • +1Net change is 25 individuals.
  • +125 divided by 200 gives a 12.5% increase.
The population rises to 225, a net increase of 25 individuals or 12.5% of the starting size.
Sia tip — Write every demographic flow with its sign before calculating.
Glossary

Key terms

Fitness
Relative contribution to the next generation in a defined context.
Population
Members of one species in a defined area.
Carrying level
The population level approached in a logistic model under specified conditions.
Species richness
The number of species recorded in a sample or area.
Species concept
A criterion used to define and distinguish species.
FAQ

Individuals, Populations and Species FAQ

Does fitness mean the strongest organism?

No. Fitness concerns relative reproductive contribution in a defined environment. Strength or longevity matters only when it changes survival and reproduction in that context over the relevant generations.

Why is logistic growth not a universal law?

It assumes density-dependent slowing toward a carrying level. Resources, climate, movement and interactions can change, so the fitted parameter describes modelled conditions rather than an eternal maximum.

Why can species counts depend on definition?

Different concepts emphasise reproductive isolation, genetic lineage, ecology or morphology. Asexual organisms, fossils and hybridising groups expose different limits, so the chosen concept should accompany the classification.

Study strategy

Exam move

Build one demographic ledger and one growth-curve sketch from memory. For each model, state the biological assumption that produces its shape. Then classify one ambiguous organism group under two species concepts and explain why the answers can differ without either concept being careless. Convert a count change into an absolute and per-capita rate with labelled time units, and separate local movement from births and deaths.

Redraw the same population with a different stage structure to explain why equal totals need not imply equal futures. Match every diversity statement to richness, evenness or the specific index actually measured. State the sampling effort behind every community comparison.

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