Science & STEM

Carrying Capacity Practice Problems: Population Limits Quiz

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This quiz helps you practice carrying capacity and see how resources limit population growth. Use it to spot weak areas before a test, and brush up with our ecology practice quiz or explore energy transfer in the energy flow in ecosystems quiz. Questions reinforce key ideas like limiting factors and logistic growth.

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1What term defines the maximum population size that an environment can sustainably support?
2When a population reaches its carrying capacity, what happens to its growth rate?
3Which of the following is an example of a density-dependent factor affecting population size?
4What typically occurs when a population size exceeds its carrying capacity?
5In the logistic growth equation dN/dt = rN(1 - N/K), what does the term N/K represent?
6Which of the following is a density-independent factor?
7At what population size does the logistic growth curve reach its maximum growth rate?
8Which characteristic is typical of K-selected species?
9Which method directly estimates resource-based carrying capacity in a field study?
10How does a strong Allee effect influence carrying capacity and population dynamics?
11In a chemostat model of microbial growth, which parameter adjustment will raise the carrying capacity?
12What is the effect of interspecific competition on the carrying capacity of the competing species?
13Given a logistic growth curve with r = 0.2/year, K = 500 individuals, and current N = 250, what is the instantaneous growth rate dN/dt?
Learning Goals

Study Outcomes

  1. Understand Carrying Capacity -

    Define carrying capacity and explain its role in maintaining ecological balance and regulating population growth.

  2. Analyze Population Limits -

    Identify biotic and abiotic factors that influence habitat limits and assess their impact on species survival.

  3. Apply Calculation Methods -

    Use mathematical models to estimate carrying capacity values for different ecosystems and population scenarios.

  4. Evaluate Ecological Balance -

    Assess the relationship between resource availability and population dynamics to determine sustainability thresholds.

  5. Interpret Quiz Results -

    Review your answers to pinpoint strengths and knowledge gaps in population ecology concepts.

  6. Compare Population Models -

    Contrast exponential and logistic growth models to understand how they predict changes in species abundance.

Study Guide

Cheat Sheet

  1. Logistic Growth & Carrying Capacity (K) -

    The logistic growth equation dN/dt = rN(1 - N/K) from population ecology models how growth rate slows as a population nears its carrying capacity. That "1 - N/K" term mathematically enforces ecological balance by reducing per capita growth. Try picturing a bathtub filling fastest when half full (N=K/2) to remember the concept.

  2. Density-Dependent Regulation -

    Density-dependent factors - like competition, disease, predation and waste accumulation - intensify as population size grows, naturally curbing further increases (USGS). A handy mnemonic is "CDPW" (Competition, Disease, Predation, Waste). Recognizing these feedbacks is key to predicting when a population will level off at K.

  3. Density-Independent Controls -

    Density-independent factors (e.g., droughts, floods and fires) impact populations regardless of size, often causing sudden crashes or booms (NOAA studies). These abiotic events can push numbers below or above K without the gradual feedback seen in density dependence. Remember "Weather Hits Without Warning" to recall their unpredictability.

  4. Overshoot & Die-Off Dynamics -

    When N temporarily exceeds K - known as an overshoot - resources become depleted, triggering a sharp die-off back toward or below carrying capacity (Elton's classical studies). The classic Isle Royale moose - wolf example shows how lack of food caused a population crash. Visualize a balloon popping if over-inflated to remember overshoot risks.

  5. Maximum Sustainable Yield (MSY) -

    The MSY concept from fisheries science identifies the harvest rate at which population growth is maximized, occurring theoretically at N=K/2 in the logistic model. Exceeding this yield risks depleting the resource; harvesting less keeps stocks within ecological balance. Think "Half-Full Harvest" to recall MSY's optimal point.

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Updated Feb 20, 2026