Related Experiment Video
Updated: May 7, 2025

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
The Demographic Basis of Population Growth: A 32-Year Transient Life Table Response Experiment
F Stephen Dobson1,2, David N Koons3, Claire Saraux1
1Université de Strasbourg, CNRS, IPHC UMR 7178, Strasbourg, France.
Abstract:
It has recently been recognised that populations are rarely in demographic equilibrium, but rather in a 'transient' state. To examine how transient dynamics influence our empirical understanding of the links between changes in demographic rates and population growth, we conducted a 32-year study of Columbian ground squirrels. The population increased rapidly for 10 years, followed by a 2-year crash, and a gradual 19-year recovery. Transient life table response experiment (LTRE) analysis showed that demographic stochasticity accounted for approximately one-fourth of the variation in population growth, leaving the majority to be explained by environmental influences. These relatively small rodents appeared to have a slow pace of life. But unlike the general pattern for large mammals with slow life histories, ground squirrel survival did not exhibit low variation associated with environmental 'buffering'; instead, survival varied substantially over time and contributed substantially (78%) to changes in abundance over the long-term study, with minor contributions from reproduction and unstable stage structure.
Related Concept Videos
Life Tables
Applications of Life Tables
Life Histories
Longitudinal Research
Parametric Survival Analysis: Weibull and Exponential Methods
Weibull Distribution
The Weibull distribution is a flexible model used in parametric survival analysis. It can handle both increasing and decreasing hazard rates, depending on its shape parameter...
Survival Curves
The Kaplan-Meier estimator is the most common method for constructing survival curves. This...

