Population Ecology Lecture 4 Flashcards

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A collection of vocabulary terms and key concepts from the Introduction to Population Ecology lecture, covering distribution, density, niche types, and growth models.

Last updated 4:43 AM on 7/7/26
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30 Terms

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Population

A group of individuals of the same species that live in the same location and interact more closely with one another due to physical proximity.

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Population Dynamics

The processes underlying how and why populations change in distribution, abundance, density, and structure over time.

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Metapopulation

A group of connected subpopulations that exchange individuals through dispersal.

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Distribution

The size, shape, and location of the area a population occupies, typically dictated by abiotic and biotic factors.

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Density

The number of individuals per unit area, such as the 0.50.5 crows per square mile in California versus 1616 in New York.

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Abundance

The total number of individuals in a population, which may also be measured in biomass; for example, the American crow population is approximately 3131 million.

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Subpopulation

A part of a larger population that has limited exchange with other parts through immigration and emigration.

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Immigration

The dispersal process involving the arrival of individuals into a new location.

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Emigration

The dispersal process involving individuals exiting their native locations.

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Fundamental Niche

The range of physical conditions a species could live in, shaped by abiotic factors such as water availability, nutrient availability, and temperature.

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Realized Niche

The actual space a species lives in, shaped by biotic interactions such as competition, predation, disease, and parasitism.

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Population Modeling

The mathematical analysis of population characteristics within its environmental context to describe and predict population dynamics.

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State Variable

The information that describes the current state a system is in, usually the variable of interest that changes over time, such as population size (NN).

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Parameter

A number or measurable quantity, often constant, on which dynamics depend, such as birth rate (bb) or per capita growth rate (rr).

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Geometric Growth Model

A discrete time model used for populations with pulses of reproduction and non-overlapping generations, such as annual plants.

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Discrete Time

Specific intervals or distinct time steps used in difference equations, represented as Nt+1N_{t+1}.

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Lambda (λ\lambda)

The geometric growth rate, representing the average number of offspring left by an individual during one time interval, defined as λ=1+bd\lambda = 1 + b - d.

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Exponential Growth Model

A continuous time model used for populations with overlapping generations where reproduction occurs continuously, such as humans or fish.

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Continuous Time

Infinitely small time intervals or instantaneous change used in differential equations, represented as dNdt\frac{dN}{dt}.

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Per Capita Growth Rate (rr)

The intrinsic rate of increase, calculated as the birth rate minus the death rate (r=bdr = b - d).

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Difference Equation

An equation used to predict how state variables change over a discrete time step, such as Nt+1=λNtN_{t+1} = \lambda N_t.

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Differential Equation

An equation describing change in a system over continuous time, such as dNdt=rN\frac{dN}{dt} = rN.

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Geometric Growth Fate (λ=1\lambda = 1)

The condition where births equal deaths (b=db = d), resulting in a flat trend where the population size remains constant.

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Exponential Growth Fate (r>0r > 0)

The condition where the per capita growth rate is positive, leading to an increasing population size over time.

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Geometric Growth Eqn (Time tt)

The formula to find the population at any time tt in a discrete model: Nt=N0λtN_t = N_0 \lambda^t.

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Exponential Growth Eqn (Time tt)

The formula to find the population at any time tt in a continuous model: N(t)=N0ertN(t) = N_0 e^{rt}.

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Factors Driving Population Dynamics

The key factors influencing population dynamics include:

  • Abundance of resources
  • Mortality rates
  • Birth rates
  • Immigration and emigration rates
  • Environmental changes
  • Species interactions (predation, competition, etc.)
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Assumptions of Population Growth Models

Population growth models often assume:

  • Constant environmental conditions
  • Homogeneous population (no genetic diversity)
  • No immigration or emigration impacts
  • Resources are either unlimited (exponential growth) or limited (logistic growth)
  • Individuals are identical in reproductive capacity
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Different Values of Lambda (λ\lambda)

Values of λ\lambda (geometric growth rate) indicate:

  • \lambda < 1: Population is decreasing
  • λ=1\lambda = 1: Population is stable
  • \lambda > 1: Population is increasing
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Different Values of Per Capita Growth Rate (rr)

Values of rr (per capita growth rate) indicate:

  • r < 0: Population is declining
  • r=0r = 0: Population is stable
  • r > 0: Population is growing