Environmental Biology II: Population Ecology — Characteristics, Carrying Capacity, Growth and Regulation, Fluctuations, Dispersion and Metapopulations, r- and K-Species and Keystone Species — and Community Ecology, Interactions and Biological Invasions

This chapter takes the population and community items of Unit III. For populations it covers density, natality, mortality, age structure and survivorship; carrying capacity and the exponential and logistic models, with the maximum growth rate at half the carrying capacity worked; density-dependent and density-independent regulation; cycles and other fluctuations; the random, uniform and clumped patterns of dispersion and how to test for them; Levins's metapopulation model; r- and K-selection; and keystone species. For communities it covers the organismic and individualistic concepts, the types of interaction with predation, herbivory, parasitism and allelopathy in detail, and biological invasions, with the invasive species that matter most in India. The predator-prey and matrix models return in Unit IX.

1. Characteristics of a population

A population is a group of individuals of one species occupying a given area at a given time. Its attributes belong to the group, not to any individual. Density is the number per unit area or volume; crude density uses the whole area and ecological density only the habitable part. Natality is the birth rate and mortality the death rate, and together with immigration and emigration they set the rate of change: ΔN = births − deaths + immigrants − emigrants. Age structure, drawn as an age pyramid, predicts growth: a broad base (many young) means an expanding population, a column shape a stable one and a narrow base a declining one. Sex ratio and the proportion of reproductive individuals complete the picture.

Survivorship curvePattern of mortalityExamples
Type ILow mortality until old age, then a steep declineHumans in developed countries, elephants, other large mammals with parental care
Type IIA roughly constant risk of death at every age, a straight line on a logarithmic scaleMany birds, some lizards, hydra
Type IIIVery high mortality among the young, then low mortality for the few survivorsOysters, most fish, many plants and insects that produce huge numbers of offspring

2. Carrying capacity, population growth and its regulation

With unlimited resources a population grows exponentially: dN/dt = rN, where r is the intrinsic rate of natural increase (birth rate minus death rate per individual), and Nt = N₀e^(rt). The doubling time is ln 2 ÷ r ≈ 0.693 ÷ r, or roughly 70 divided by the growth rate in per cent, so a population growing at 2% a year doubles in about 35 years. The curve is J-shaped. No real population can grow this way for long, because resources are finite. The carrying capacity, K, is the maximum population size that an environment can sustain indefinitely with the resources available.

The logistic model of Verhulst (1838), later revived by Pearl and Reed, builds that limit in: dN/dt = rN(1 − N/K). The term (1 − N/K) is the unused fraction of carrying capacity; it is close to 1 when the population is small, so growth is nearly exponential, and falls to 0 as N approaches K, so growth stops. The curve is S-shaped (sigmoid), and its steepest point, the inflection, is at N = K/2, where the growth rate reaches its maximum of rK/4. With r = 0.4 per year and K = 1,000, the population grows fastest at N = 500, by 0.4 × 1000 ÷ 4 = 100 individuals a year; at N = 250 it grows by 0.4 × 250 × (1 − 0.25) = 75. This is why the maximum sustainable yield of a fishery or forest is taken from a stock held near half its carrying capacity.

Regulation is density-dependent when a factor's effect per individual increases with density: competition for food and space, predation, parasitism, disease and stress all intensify in crowded populations and bring them back towards K. It is density-independent when the effect is the same whatever the density: a frost, a flood, a drought or a fire kills a similar proportion of a sparse or a dense population. Density-dependent factors regulate; density-independent factors cause fluctuations but cannot, by themselves, hold a population near an equilibrium.

⚠️ Growth is fastest at K/2, not at K
At N = K the population is largest but its growth rate is zero; at small N the per-capita rate is highest but there are few individuals to reproduce. The product rN(1 − N/K) peaks halfway, at K/2. An option that places maximum growth, or maximum sustainable yield, at the carrying capacity is wrong.

3. Population fluctuations, dispersion and metapopulations

Real populations fluctuate around K rather than settling on it. Some fluctuate irregularly with the weather; some irrupt, rising rapidly and then crashing, as locusts do; and some cycle with a regular period, the classic cases being the three-to-four-year cycles of lemmings and voles and the roughly ten-year cycle of the snowshoe hare and the Canada lynx, reconstructed from the fur records of the Hudson's Bay Company. Time lags in density-dependent feedback, predator-prey interactions and food supply all generate such oscillations.

Dispersion patternCauseVariance-to-mean ratio of counts per quadrat
RandomUniform environment and no attraction or repulsion between individuals; rareAbout 1 (a Poisson distribution)
Uniform (regular)Competition, territoriality or allelopathy spacing individuals apartLess than 1
Clumped (aggregated)Patchy resources, social groups, limited seed dispersal; the most common patternGreater than 1

Many species live not as one continuous population but as a metapopulation, a "population of populations": subpopulations in separate habitat patches linked by occasional dispersal, each liable to go extinct locally and to be recolonised from the others. Richard Levins (1969) modelled the proportion of occupied patches, p, as dp/dt = cp(1 − p) − ep, where c is the colonisation rate and e the local extinction rate. At equilibrium p* = 1 − e/c, so the metapopulation persists only if colonisation outpaces extinction; with c = 0.5 and e = 0.1, 80% of patches are occupied at equilibrium. The model explains why corridors, which raise c, and the protection of many patches, which spreads the risk of e, are central to conservation in fragmented landscapes.

4. r- and K-species and keystone species

Traitr-selected speciesK-selected species
EnvironmentUnpredictable, disturbed, often newly openedStable, predictable, crowded
Body size and lifespanSmall, short-livedLarge, long-lived
ReproductionEarly maturity, many small offspring, often reproduce onceLate maturity, few large offspring, repeated reproduction
Parental care and survivorshipLittle or none; Type III survivorshipExtensive; Type I survivorship
Population sizeFluctuating, often well below KNear K, relatively steady
ExamplesBacteria, insects, annual weeds, small rodentsElephants, whales, great apes, large trees

The terms come from the two parameters of the logistic equation, as MacArthur and Wilson (1967) framed them: r-selection favours a high rate of increase, K-selection efficient competition near carrying capacity. Most species lie somewhere along the continuum. K-selected species are the ones most vulnerable to extinction, because their slow reproduction cannot make up for added mortality. A keystone species has an effect on its community far larger than its abundance would suggest. Robert Paine (1969) removed the predatory starfish Pisaster ochraceus from rocky shores in Washington State, and mussels took over, the number of species falling sharply. Other examples are sea otters, which keep sea urchins from destroying kelp forests; fig trees, which feed many tropical frugivores through lean seasons; elephants, which open woodland; and top predators such as the tiger. Ecosystem engineers such as beavers, which create habitat physically, are a related idea.

5. Community ecology: concepts, types of interaction and biological invasions

A community is an assemblage of populations of different species living and interacting in the same area. Clements saw it as an organismic unit, a "superorganism" whose parts develop together towards a climax; Gleason's individualistic concept (1926) saw it as a coincidental assemblage of species that happen to share tolerances, each distributed independently along gradients. Field studies of species along gradients have largely supported Gleason, though strong interactions do bind some species together. Communities are described by their dominant species, species richness and evenness, vertical stratification and trophic structure.

InteractionEffect on species A / BExample
Competition− / −Lions and hyenas for prey; weeds and crops for light and nutrients
Predation+ / −Tiger and chital; owl and rodent
Herbivory+ / − (often without killing the plant)Deer browsing; locusts on crops
Parasitism+ / − (the host is harmed but usually not killed quickly)Tapeworms, ticks, the dodder vine Cuscuta; brood parasitism by the cuckoo
Mutualism+ / +Mycorrhizae, lichens, Rhizobium in legume nodules, pollinators
Commensalism+ / 0Epiphytic orchids on trees; cattle egrets following grazing cattle
Amensalism, including allelopathy− / 0Juglone from black walnut; chemicals from Parthenium, Lantana and Eucalyptus suppressing other plants

Predators respond to prey density in characteristic ways, described by Holling's functional responses: type I, a linear rise; type II, a rise that levels off as handling time limits intake; and type III, a sigmoid response when predators switch to abundant prey. Plants resist herbivores with physical defences such as spines and tough leaves and with chemical ones such as alkaloids, tannins and cyanogenic compounds, which herbivores in turn evolve to tolerate, an arms race called coevolution. Allelopathy, a term coined by Molisch in 1937, is the release by one plant of chemicals that inhibit the germination or growth of others; it helps invasive plants such as Parthenium and Lantana form dense stands.

A biological invasion occurs when a species introduced outside its native range establishes, spreads and causes harm. Invasion proceeds through transport, introduction, establishment and spread, and Williamson's "tens rule" suggests that only about one in ten species passes each stage. Invaders often succeed because they have escaped the natural enemies of their home range (the enemy release hypothesis), reproduce fast, tolerate a wide range of conditions and, among plants, may be allelopathic. Invasive alien species are counted among the leading drivers of biodiversity loss. In India the most damaging include Lantana camara in forests, Prosopis juliflora in drylands and grasslands, water hyacinth (Eichhornia crassipes) choking lakes and rivers, Parthenium hysterophorus ("congress grass"), which causes dermatitis and asthma as well as crop losses, Mikania micrantha in the north-east and the Western Ghats, and the African catfish Clarias gariepinus in fresh waters.

Key takeaways

  • Populations are described by density, natality, mortality, age structure and survivorship (Type I, II, III); ΔN = births − deaths + immigrants − emigrants.
  • Exponential growth dN/dt = rN doubles in about 70 ÷ r% years; logistic growth dN/dt = rN(1 − N/K) is fastest at N = K/2, at rK/4, which sets maximum sustainable yield.
  • Density-dependent factors regulate and density-independent ones cause fluctuations; a variance-to-mean ratio above 1 means clumping; Levins's metapopulation persists at p* = 1 − e/c.
  • r-selected species are small, fast-breeding and short-lived; K-selected species large, slow and near carrying capacity; keystone species, like Paine's starfish, have effects far beyond their abundance.
  • Interactions run from competition (−/−) and predation, herbivory and parasitism (+/−) to mutualism, commensalism and allelopathy; invasive species such as Lantana, Prosopis, water hyacinth and Parthenium succeed partly through enemy release.

Practice questions (10)

Attempt each one before opening the answer. Every explanation names the tempting wrong option as well as the right one, because that is where marks are lost.

  1. A population grows logistically with r = 0.4 per year and a carrying capacity of 1,000. What is its maximum possible growth rate, in individuals per year?

    Numerical answer — type the value.

    Show answer

    Answer: 100

    The logistic growth rate rN(1 − N/K) is greatest at N = K/2 = 500, where it equals rK/4 = 0.4 × 1000 ÷ 4 = 100 individuals per year. At N = 1,000 the growth rate is zero, which is why substituting N = K gives the wrong answer.
  2. A species whose young suffer very high mortality but whose few survivors then live a long time shows

    1. exponential population growth
    2. a Type II survivorship curve with constant risk
    3. a Type III survivorship curve, as in oysters and most fish
    4. a Type I survivorship curve, as in large mammals
    Show answer

    Answer: C — a Type III survivorship curve, as in oysters and most fish

    Type III describes species that produce huge numbers of offspring with little care, most of which die young. Type I is the reverse, with most individuals surviving to old age, and Type II has a constant death rate at all ages. Survivorship describes mortality with age, not population growth.
  3. In a quadrat survey the variance of the counts is much greater than their mean. The dispersion of the population is

    1. clumped
    2. impossible to judge from counts
    3. uniform
    4. random
    Show answer

    Answer: A — clumped

    A random (Poisson) pattern has variance equal to the mean; a uniform pattern, with individuals evenly spaced, has variance less than the mean; many empty quadrats and a few crowded ones give variance greater than the mean, which is clumping, the commonest pattern in nature.
  4. Which of the following are characteristics of K-selected species? Select all that apply.

    1. Large body size and a long life
    2. Early maturity and very many small offspring
    3. Populations that stay close to carrying capacity
    4. Extensive parental care of few offspring
    Show answer

    Answer: A — Large body size and a long life; C — Populations that stay close to carrying capacity; D — Extensive parental care of few offspring

    K-selected species invest heavily in a few offspring, live long and hold populations near K in stable environments. Early maturity and many small offspring are the r-selected strategy of weeds, insects and small rodents.
  5. The keystone species concept was established by Robert Paine's experimental removal of

    1. elephants from an African savanna
    2. beavers from North American streams
    3. the predatory starfish Pisaster from rocky intertidal shores
    4. wolves from Yellowstone National Park
    Show answer

    Answer: C — the predatory starfish Pisaster from rocky intertidal shores

    Paine (1969) removed Pisaster ochraceus in Washington State, mussels monopolised the rock, and species richness collapsed, showing that one predator held the community together. Wolves, elephants and beavers are later examples of keystone species or ecosystem engineers, not the founding experiment.
  6. Assertion (A): A logistically growing population adds individuals fastest when it is at half its carrying capacity. Reason (R): The product N(1 − N/K) is greatest when N = K/2. Choose the correct option.

    1. Both A and R are true, and R is the correct explanation of A
    2. Both A and R are true, but R is not the correct explanation of A
    3. A is true, but R is false
    4. A is false, but R is true
    Show answer

    Answer: A — Both A and R are true, and R is the correct explanation of A

    Both are true and R explains A. The growth rate rN(1 − N/K) is r times N(K − N) ÷ K, and a product of two numbers with a fixed sum, N and K − N, is largest when they are equal, at N = K/2. This is the basis of harvesting at maximum sustainable yield.
  7. An interaction in which one species benefits and the other is neither helped nor harmed is

    1. commensalism
    2. mutualism
    3. parasitism
    4. amensalism
    Show answer

    Answer: A — commensalism

    Commensalism is +/0, as with epiphytic orchids on trees or cattle egrets feeding on insects disturbed by cattle. Mutualism is +/+, amensalism −/0 (allelopathy is a form of it), and parasitism +/−.
  8. Which of the following are invasive alien species causing serious ecological damage in India? Select all that apply.

    1. Lantana camara
    2. Sal (Shorea robusta)
    3. Teak (Tectona grandis)
    4. Water hyacinth (Eichhornia crassipes)
    Show answer

    Answer: A — Lantana camara; D — Water hyacinth (Eichhornia crassipes)

    Lantana, from tropical America, has overrun Indian forests, and water hyacinth, from South America, chokes lakes and rivers. Sal and teak are native Indian trees, the dominant species of large forest types, not invaders.
  9. In Levins's metapopulation model the colonisation rate is 0.5 and the local extinction rate is 0.1. What fraction of habitat patches is occupied at equilibrium? Give the answer as a decimal.

    Numerical answer — type the value.

    Show answer

    Answer: 0.8

    Setting dp/dt = cp(1 − p) − ep to zero gives p* = 1 − e/c = 1 − 0.1 ÷ 0.5 = 1 − 0.2 = 0.8. If extinction were to exceed colonisation, p* would be negative, meaning the metapopulation would die out.
  10. The view that a plant community is a coincidental assemblage of species with similar tolerances, each distributed independently along environmental gradients, is

    1. Tansley's polyclimax theory
    2. Gleason's individualistic concept
    3. Gause's competitive exclusion principle
    4. Clements's organismic concept
    Show answer

    Answer: B — Gleason's individualistic concept

    Gleason (1926) argued against Clements's superorganism, holding that communities are not integrated units but the overlap of species responding individually to the environment. Polyclimax concerns multiple end points of succession, and competitive exclusion concerns two species with the same niche.