Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Life Histories01:29

Life Histories

Constrained by limited energy and resources, organisms must compromise between offspring quantity and parental investment. This trade-off is represented by two primary reproductive strategies; K-strategists produce few offspring but provide substantial parental support, whereas r-strategists produce much progeny that receives little care. These strategies are related to an organism’s survival likelihood across its lifespan, which is represented by a survivorship curve. Three general types of...
Energy Budgets and Reproductive Strategies00:51

Energy Budgets and Reproductive Strategies

Organisms must balance energy intake with the energy required for growth, maintenance, and reproduction. These trade-offs result in a variety of survivorship and reproductive strategies, including semelparity and iteroparity. Semelparous species reproduce only once in their lifetime, often investing most available resources into that single reproductive event. Iteroparous species, by contrast, reproduce multiple times over their lifetimes, typically allocating fewer resources to any single...
Life Tables01:22

Life Tables

A life table is a statistical tool that summarizes the mortality and survival patterns of a population, providing detailed insights into the likelihood of survival or death across different age intervals within a cohort. By organizing data on survival probabilities and mortality rates, life tables offer a clear snapshot of population dynamics over time. They are extensively used in demography, public health, actuarial science, and ecology to analyze life expectancy, design health interventions,...
Modeling with Differential Equations01:25

Modeling with Differential Equations

Population dynamics can be described mathematically by considering the population size P(t) as a function of time. The rate of change of the population is then represented by the derivative of P(t). A simple assumption is that the rate of growth is proportional to the size of the population itself. This leads to an exponential growth model, where the population increases rapidly without bound. While this is a useful first approximation, it does not reflect realistic long-term...
Derivatives: Problem Solving01:26

Derivatives: Problem Solving

Temperature-Dependent Growth of Brook TroutThe growth of brook trout is closely influenced by water temperature. Experimental data demonstrate how trout weight changes over a 24-day period in response to varying water temperatures. At lower temperatures, such as 15.5 degrees Celsius, brook trout show significant weight gain. However, as the temperature increases, the amount of weight gained steadily decreases. At the highest temperature measured, 24.4 degrees Celsius, trout experience a net...
Population Growth00:57

Population Growth

Population size is dynamic, increasing with birth rates and immigration, and decreasing with death rates and emigration. In ideal conditions with unlimited resources, populations can increase exponentially, which plots as a J-shaped growth rate curve of population size against time. This type of curve is characteristic of newly-introduced invasive species, or populations that have suffered catastrophic declines and are rebounding.However, realistic environmental conditions limit the number of...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Coexisting traditional and biomedical healthcare systems: a mixed-methods analysis of community health workers and traditional birth attendants' contributions to perinatal health behaviors in rural India.

Frontiers in health services·2026
Same author

Lived experiences in action: Relations between community health workers' and clients' perinatal health behaviours in India.

Global public health·2025
Same author

Quantifying quality: The impact of measures of school quality on children's academic achievement across diverse societies.

Developmental science·2023
Same author

Leverage the power of ritual to improve community health worker efficacy and public health outcomes: Lessons from Bihar, India.

The Lancet regional health. Southeast Asia·2023
Same author

Facilitating behavioral change: A comparative assessment of ASHA efficacy in rural Bihar.

PLOS global public health·2023
Same author

Wild mammals through the lens of biomass rather than biodiversity.

Proceedings of the National Academy of Sciences of the United States of America·2023

Related Experiment Video

Updated: Jun 11, 2026

Modeling the Size Spectrum for Macroinvertebrates and Fishes in Stream Ecosystems
07:41

Modeling the Size Spectrum for Macroinvertebrates and Fishes in Stream Ecosystems

Published on: July 30, 2019

The May threshold and life-history allometry.

Lev R Ginzburg1, Oskar Burger, John Damuth

  • 1Department of Ecology and Evolution, Stony Brook University, NY 11794, USA.

Biology Letters
|July 2, 2010
PubMed
Summary

Population reproductive rates exceeding the May threshold can lead to extinction. This ecological elimination may explain why lifetime reproductive rates are independent of body size across diverse animal taxa.

Area of Science:

  • Ecology
  • Population Dynamics
  • Evolutionary Biology

Background:

  • Robert May's work established that chaotic population dynamics arise when average lifetime reproductive rates surpass a critical threshold.
  • Populations exceeding this 'May threshold' are prone to extinction, with the threshold varying based on density-dependence curves.
  • Species with similar density-dependence curves share a May threshold, irrespective of size or generation time.

Purpose of the Study:

  • To propose that the ecological elimination of unstable populations explains the observed allometric independence of lifetime reproductive rate from body size.
  • To challenge the conventional explanation of this allometry as solely due to physiological life-history trade-offs.

Main Methods:

  • Theoretical analysis linking population stability thresholds to life-history traits.

More Related Videos

Experimental Manipulation of Body Size to Estimate Morphological Scaling Relationships in Drosophila
06:00

Experimental Manipulation of Body Size to Estimate Morphological Scaling Relationships in Drosophila

Published on: October 1, 2011

Methodology for Developing Life Tables for Sessile Insects in the Field Using the Whitefly, Bemisia tabaci, in Cotton As a Model System
09:23

Methodology for Developing Life Tables for Sessile Insects in the Field Using the Whitefly, Bemisia tabaci, in Cotton As a Model System

Published on: November 1, 2017

Related Experiment Videos

Last Updated: Jun 11, 2026

Modeling the Size Spectrum for Macroinvertebrates and Fishes in Stream Ecosystems
07:41

Modeling the Size Spectrum for Macroinvertebrates and Fishes in Stream Ecosystems

Published on: July 30, 2019

Experimental Manipulation of Body Size to Estimate Morphological Scaling Relationships in Drosophila
06:00

Experimental Manipulation of Body Size to Estimate Morphological Scaling Relationships in Drosophila

Published on: October 1, 2011

Methodology for Developing Life Tables for Sessile Insects in the Field Using the Whitefly, Bemisia tabaci, in Cotton As a Model System
09:23

Methodology for Developing Life Tables for Sessile Insects in the Field Using the Whitefly, Bemisia tabaci, in Cotton As a Model System

Published on: November 1, 2017

  • Comparative analysis across animal taxa to assess the relationship between body size and lifetime reproductive rate.
  • Main Results:

    • The study argues that a shared May threshold among species with similar density-dependence curves predicts a lack of allometric scaling between lifetime reproductive rate and body size.
    • This ecological mechanism provides an alternative explanation for the observed independence of lifetime reproductive rate from body size across diverse taxa.

    Conclusions:

    • The ecological elimination of populations pushed into chaotic dynamics by high reproductive rates is a significant factor shaping life-history allometries.
    • This provides a compelling ecological explanation for the widespread observation of lifetime reproductive rate independence from body size in the animal kingdom.