Course Title: Principles of Ecology
Instructor: Dr. Joseph McMillan
University: Texas Tech University
Semester: Spring 2025
Understand population growth models under different scenarios.
Identify what factors limit population growth.
Analyze population growth in humans.
Fundamental question: Where are organisms found and how many are present?
Represents a snapshot in time, helping to assess population ecology.
Populations can change over time, influencing size, density, and age structure.
The age distribution of a population reflects its survival history, reproductive success, and potential for future growth.
Geometric Growth: Population grows in discrete steps.
Exponential Growth: Continuous growth without resource limitations.
Logistic Growth: Growth slows as resources become limited.
In the presence of unlimited resources, populations can grow geometrically or exponentially, leading to similar growth shapes through different mechanisms.
Main Assumptions for Growth Models:
All individuals are identical in characteristics.
Populations are closed, without immigration or emigration.
Unlimited resources are available.
Time is treated as continuous.
Change in population size (∆N) can be expressed with formulas:
∆N/∆T = (B−D) + (I−E)
When immigration and emigration are constant, it simplifies to ∆N/∆T = B−D.
Continuous population growth is represented by the equation: dn/dt = rN, where r is the intrinsic rate of increase.
Historical context:
1930s: Aransas population = 18 birds.
2015-2016: Population ≈ 329 birds at Aransas National Wildlife Refuge.
Current estimates show growth to over 400 birds.
Initial population: 996 individuals.
Net reproductive rate (R0): Average of 2.4177 offspring per individual.
Projected exponential growth over several generations leads to population escalation:
Year 0: 996
Year 1: 2,408
Year 2: 5,822
Year 3: 14,076, and so forth, reaching millions by year 10.
Defined by limited resources leading to a sigmoidal growth curve:
Growth rate slows as the population approaches carrying capacity (K).
Key assumptions include:
All individuals are the same.
The population is closed and limited in resources.
Continuous time.
Density-dependent factors: Birth and death rates change with population density.
Density-independent factors: Examples include natural disasters and climate events.
Pyramid-shaped distributions indicate rapid growth potential.
Constant age distributions suggest stable or slow growth.
Historical events, such as World War II, significantly affect demographic patterns and distributions over time.
Population dynamics are influenced by a variety of factors, including environmental conditions and life history strategies.
Understanding these dynamics is crucial for conserving species and managing ecosystems.