CLASS 12 BIOLOGY · CHAPTER 11 · STUDY NOTES
Organisms and Populations
An exploration of population ecology, focusing on population attributes, growth models, and the complex interspecific interactions that shape biological communities.
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Introduction to Ecology
Connect ecological questions to the level being studied.Zoom from one bird to its ecological relationships
- Ecology
- Study of relationships among organisms and between organisms and their environment.
Ecology studies relationships among organisms and between organisms and their physical environment. A “how” question asks about a mechanism; a “why” question can ask about the significance of a feature or behaviour. Neither requires an organism to plan its evolution.
A population is a group of individuals of the same species in a defined geographical area. Interacting populations of different species form a community. Organisms, populations, communities, ecosystems and biomes offer different scales for ecological questions.
Population ecology connects changes in numbers and interactions to evolution. Individuals differ in survival and reproduction; inherited variation can consequently change in a population across generations.
Let’s look a little closer.
Go deeper: Go beyond the first view
Abiotic factors include physical and chemical conditions; biotic factors include other organisms. Their effects are connected, so separating the terms does not mean that only one matters.
The pond illustration marks a chosen study boundary. A population need not be sexually reproducing: bacterial groups or other asexually produced groups can also be studied as populations.
Take a moment. What do you think?
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Question
A pond contains one fish species, two bird species and lotus plants. Is “all organisms in the pond” one population?
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Population Attributes
Describe attributes of a group, rather than assigning them to one individual.Describe a group with rates, proportions and age structure
- Per-capita rate
- A rate expressed per member of the population over a stated time interval.
| Attribute | Individual Level | Population Level |
|---|---|---|
| Vital Event | Birth or Death | Birth Rate or Death Rate |
| Gender/Sex | Male or Female | Sex Ratio |
| Age | Specific Age | Age Distribution (Pyramid) |
A population has a per-capita birth rate, per-capita death rate, sex ratio and age distribution. An individual can be born or die, but it does not have a population’s age pyramid or sex ratio.
For an original example, six births among a starting population of 20 over one year give 6/20=0.30 births per individual per year. The denominator is the starting group for this calculation; the result is not the number of individuals at the end.
An age pyramid compares the proportions in younger, reproductive and older groups. A broad pre-reproductive base can suggest expansion potential; a narrow base can suggest decline. Actual population change also depends on births, deaths and movement.
Go deeper: Go beyond the first view
A rate needs both a denominator and a time unit. For instance, five deaths among 50 individuals over a week give 0.10 deaths per individual per week, not 0.10 per year.
The age structures and sex-ratio sectors are hypothetical illustrations. Their shapes support interpretation, but they are not measured census data or guaranteed future growth.
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Question
A hypothetical group starts with 50 individuals and has 5 deaths during one week. Calculate the per-capita death rate for that interval.
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Population Density and Growth
Specify the measure, area and interval before comparing populations.Choose a useful measure, then account for additions and losses
- Immigration
- Entry of individuals into the population’s defined habitat during the stated interval.
Population density can be expressed using counts per area or volume; cover and biomass may be more useful for some ecological questions. One large tree can occupy more canopy space than many small herbs, so raw counts alone may miss its contribution.
Four processes change a count within the same habitat and interval: births(B) and immigration(I) add individuals; deaths(D) and emigration(E) remove them. Nnext=Ncurrent+B+I−D−E. The interactive example starts at 50 and uses counts, not per-capita rates.
Indirect observations can provide a relative index. Catch per comparable trap effort is an observation of fish availability, not a complete lake census. Differences in sampling conditions and catchability must be considered.
Go deeper: Go beyond the first view
A density comparison is meaningful only when the quantities and boundaries are comparable. Count, biomass and percentage cover answer different questions and have different units.
For 50 individuals with 6 births, 3 immigrants, 2 deaths and 1 emigrant, the next count is 56. Natural mechanisms explain these changes, but the bookkeeping equation does not by itself identify their causes.
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Question
A hypothetical population starts at 80. It has 9 births, 4 immigrants, 7 deaths and 6 emigrants during the same interval. What is its next count?
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Exponential Growth Model
Distinguish a constant per-capita rate from a constant number added.See why a constant per-capita rate produces a curved count graph
- Intrinsic rate of natural increase(r)
- The per-capita birth rate minus per-capita death rate in the simplified continuous population model.
Under the continuous exponential model, dN/dt=rN and N(t)=N₀eʳᵗ. The intrinsic rate r=b−d has inverse-time units; the simplified closed population has no migration. For positive constant r and unconstrained conditions, the count graph is J-shaped.
The same per-capita rate acts on more individuals as the population grows, so the number added per time increases. At r=0.2 per year, N=100 gives an instantaneous increase of 20 individuals per year; N=200 gives 40.
Discrete doubling after completed intervals follows N=N₀×2ⁿ. This is different from assuming continuous r=1. In a hypothetical continuous example, N₀=40, r=0.2 per year, t=5 years gives 40 e¹≈108.73 individuals in the model.
Go deeper: Go beyond the first view
Time and rate must use matching units. A negative r produces exponential decline; r=0 gives no net count change in this closed model. The interactive positive-rate graph is not intended to cover every demographic situation.
No real habitat provides unlimited resources indefinitely. The fractional calculated count describes a continuous model approximation; it is not a claim that a fraction of an animal was observed.
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Question
For a hypothetical closed model with N₀=40 and r=0.2 per year, estimate the count after 5 years. State one limitation.
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Logistic Growth Model
Connect the S-shaped curve to declining per-capita growth and life-history trade-offs.Connect crowding, growth rate and life-history choices
- Carrying capacity(K)
- The population level supported under the conditions and assumptions of a specified model or habitat context.
Logistic growth adds density dependence: dN/dt=rN(1−N/K), where K is carrying capacity under the model’s stated conditions. Starting below a fixed K with positive r, the count rises and approachesK. The environment does not set an immutable capacity for all times and conditions.
Total instantaneous growth is greatest at N=K/2 in this model; per-capita growth r(1−N/K) declines as N increases. Withr=0.7 per year and K=200, N=100 gives 35 individuals per year, whileN=200 gives zero net growth.
Life histories differ in breeding frequency, offspring number, size and investment. Pacific salmon exemplify one breeding episode; many birds reproduce repeatedly. Many small offspring and fewer larger offspring can be useful under different conditions, with no universal winning strategy.
Go deeper: Go beyond the first view
The simple logistic equation assumes immediate density dependence and fixed parameters. Real resources change, time lags occur and populations can fluctuate or overshoot. The smooth curve is an explanatory model.
Fitness concerns reproductive contribution under particular conditions. A species does not consciously choose its strategy, and a high intrinsic rate alone is not a universal measure of success in every ecological setting.
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Question
In a logistic model with K=200 and r=0.7 per year, compare total instantaneous growth at N=100 andN=200.
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Predation and Competition
Separate a feeding interaction from competition and its possible outcomes.Distinguish feeding, defence and sharing a resource
- Resource partitioning
- Differences in use of resources, locations or times that reduce overlap between competing species.
| Association | Partner A | Partner B |
|---|---|---|
| Mutualism | Benefit + | Benefit + |
| Competition | Cost − | Cost − |
| Predation/parasitism | Benefit + | Harm − |
| Commensalism | Benefit + | No apparent effect 0 |
| Amensalism | Harm − | No apparent effect 0 |
Predation benefits the predator and harms the prey. In a broad ecological sense, herbivory also transfers plant material and energy to a consumer. The feeding arrow follows energy from the consumed organism to its consumer, rather than the direction of attack.
Predators can influence prey abundance and coexistence. The chapter’s Pisaster example connects predation on a strong competitor to a more diverse prey community. Prey defences include camouflage, structural obstacles and defensive chemicals; none guarantees universal protection.
Competition can occur between unrelated species using the same resource, as in flamingoes and fish using zooplankton. Exploitation and direct interference can reduce performance. Competitive exclusion describes particular conditions of sustained overlap; resource partitioning, such as different tree-foraging zones, can support coexistence.
Go deeper: Go beyond the first view
Predators are not consciously “prudent” managers of ecosystems. Their survival depends on resources, and ecological outcomes depend on the wider interaction network. The shore illustration is a qualitative contrast, not fabricated experimental data.
The chapter also describes competitive release when a competitor’s removal allows expansion, and field examples involving barnacles. A changed distribution can have several causes; comparison and context are needed to support an explanation.
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Question
Two unrelated species use the same food but forage at different times. Explain how coexistence may become possible.
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Parasitism and Commensalism
Locate the association and identify the effect on each partner.Ask who benefits, who is harmed and where the association occurs
- Commensalism
- An interaction in which one partner benefits and the other has no apparent benefit or harm in the stated context.
Parasitism gives a parasite benefit while harming its host. Ectoparasites occur on a host’s surface; endoparasites live within it. Attachment structures, reproductive capacity and specialised life cycles can support a parasitic lifestyle, but these traits differ among parasites.
Brood parasitism uses a host bird’s incubation or rearing effort. Egg resemblance can reduce detection. The interacting birds need not have the same biological effect as a blood-feeding or intestinal parasite; the shared classification concerns benefit and host cost.
Commensalism gives one partner benefit with no apparent effect on the other in the stated association. An epiphytic orchid obtains support from a branch; it does not extract nutrition like Cuscuta. Cattle can disturb insects that egrets catch. The chapter also uses whale barnacles and a clownfish–anemone example; actual partner effects depend on context.
Go deeper: Go beyond the first view
The chapter discusses host specificity, host–parasite coevolution and life cycles involving intermediate hosts or vectors. Not every parasite loses the same organs or uses the same number of hosts.
Amensalism is the distinct(−, 0) category: one partner is harmed while the other is unaffected in the stated comparison. A zero sign means no apparent effect for that association, not proof that the organism has no ecological relationships.
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Question
A plant sits on a tree branch and uses its own photosynthesis. Why is this different from a plant extracting resources from the tree’s tissues?
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Mutualism and Co-evolution
Trace each partner’s benefit and recognise pollination without a reward.Follow the benefit on each side, and recognise a deceptive exception
- Coevolution
- Reciprocal evolutionary change involving interacting species, where each can influence selection on the other.
Mutualism benefits both partners. Mycorrhizal fungi assist plant mineral uptake while receiving carbohydrates. In lichens, a photosynthetic partner supplies organic compounds and fungal structure supports the association and acquisition of water and minerals.
The fig–wasp association links pollination of internal flowers to suitable sites and resources for wasp offspring. Some developing ovules or seeds support larvae; not every flower or seed is consumed. Close interactions can involve reciprocal evolutionary changes, without requiring deliberate cooperation.
Ophrys illustrates a different pollination mechanism: resemblance to a female bee can attract a male and enable pollen transfer during attempted mating. No nectar reward is provided in this example, so pollen transfer alone is not proof of mutual benefit. A visit does not guarantee pollination.
Go deeper: Go beyond the first view
Flower–pollinator relationships can involve rewards, specialised structures or deceptive mechanisms. Similar appearance alone is insufficient evidence of reciprocal evolutionary change; historical and ecological evidence matter.
The chapter’s fig pairing is a simplified example of specificity. It should not be read as a universal claim that every fig species has exactly one pollinator species under every circumstance.
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Question
An insect transfers pollen but receives no nectar or other demonstrated benefit. Is pollen transfer enough to classify the interaction as mutualism?
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