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Population Ecology: Population Growth and Life History Strategies

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Population Ecology

Definition and Scope

Population ecology is the study of populations of organisms, especially the regulation of population size, life history traits, and population dynamics. A population is defined as a group of individuals of the same species living in a specific geographic area at a given time. Population ecologists seek to understand how and why the number of individuals in a population changes over time and space.

  • Key Questions: How does population size change? Where do populations live and why?

  • Population ecology uses mathematical models to predict and explain changes in population size.

Population Growth

Factors Affecting Population Change

Population size changes due to births, deaths, immigration, and emigration. The balance of these factors determines whether a population grows, shrinks, or remains stable.

Diagram showing population growth with births, deaths, immigration, and emigration

Intrinsic Rate of Growth (r)

The intrinsic rate of growth (r) is the rate at which a population increases in size under ideal conditions, with unlimited resources. It is determined by the difference between the birth rate and the death rate per individual.

  • r is species-specific but relatively constant within a species.

  • Assumes no resource limitation (ideal conditions).

Exponential Growth Model

When resources are unlimited, populations can grow exponentially. The exponential growth equation is:

  • N = population size at time t

  • r = intrinsic rate of increase

Example: If r = 0.25 individuals/year and N = 1000, then the population grows by 250 individuals per year.

Table showing exponential growth of rabbits Graph of exponential population growth

Limitations of Exponential Growth

Exponential growth cannot continue indefinitely because resources become limited. Eventually, factors such as food, space, and predation slow population growth.

Logistic Growth Model

The logistic growth model incorporates resource limitation by introducing the concept of carrying capacity (K), which is the maximum population size that the environment can sustain.

  • As N approaches K, growth slows and eventually stops.

  • If N < K, the population grows rapidly; if N = K, growth stops; if N > K, the population shrinks.

The logistic growth equation is:

Graph comparing exponential and logistic growth Graph of logistic growth in fur seals Table showing effect of K on growth rate

Age Structure and Population Growth

The age structure of a population affects its growth rate. Populations with more reproductive individuals grow faster than those with fewer. Age structure diagrams help predict future population trends.

Life History Strategies

K-selected vs. r-selected Species

Species exhibit different strategies for survival and reproduction, often described as K-selected and r-selected strategies:

  • K-selected species: Stable environments, few offspring, high parental care, long lifespan, population size near carrying capacity.

  • r-selected species: Unstable environments, many offspring, little parental care, short lifespan, rapid population growth.

Table comparing K-selected and r-selected species

Application: The 'no free lunch' maxim applies—species cannot maximize all aspects of survival and reproduction simultaneously; trade-offs exist between quantity and quality of offspring.

Summary Table: Exponential vs. Logistic Growth

Model

Equation

Assumptions

Population Growth Pattern

Exponential

Unlimited resources

J-shaped curve, rapid increase

Logistic

Limited resources, carrying capacity

S-shaped curve, levels off at K

Additional info: Mathematical models are essential tools in population ecology, allowing predictions and management of wildlife, conservation efforts, and understanding human population dynamics.

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