Related Experiment Video
Updated: Nov 22, 2025

06:52
An Automated Rapid Iterative Negative Geotaxis Assay for Analyzing Adult Climbing Behavior in a Drosophila Model of Neurodegeneration
Published on: September 12, 2017
10.4K
Density-Dependent Adaptive Topography in a Small Passerine Bird, the Collared Flycatcher
The American Naturalist
|January 8, 2021
Summary
Natural selection shapes adaptive topography by favoring intermediate phenotypes in collared flycatchers due to fluctuating population sizes. This dynamic influences life-history evolution and environmental adaptation.
Area of Science:
- Evolutionary Biology
- Population Genetics
- Behavioral Ecology
Background:
- Adaptive topography describes how population fitness changes with gene frequencies or phenotypes.
- Natural selection acts to maximize expected population size.
Purpose of the Study:
- To investigate how fluctuating population sizes create adaptive topography in collared flycatchers.
- To understand the influence of r- and K-selection on reproductive traits.
Main Methods:
- Analysis of selection on pairwise reproductive traits in collared flycatchers.
- Utilizing expected population size as the criterion for natural selection.
- Examining density-dependent effects on fitness and reproductive timing.
Main Results:
- Fluctuating population sizes generated adaptive topography with peaks at intermediate phenotypes.
- r- and K-selection favored different phenotypes at small versus large population sizes.
- Fitness decreased with delayed egg-laying, showing density-dependent effects.
- Optimal number of fledglings varied with population size; directional selection for larger fledglings occurred.
Conclusions:
- r- and K-selection, driven by expected population size, influence life-history evolution.
- Competition for resources and nest sites at high densities shapes selection.
- Adaptive topography can constrain evolutionary responses to environmental changes.
Related Concept Videos
Frequency-dependent Selection
22.7K
When the fitness of a trait is influenced by how common it is (i.e., its frequency) relative to different traits within a population, this is referred to as frequency-dependent selection. Frequency-dependent selection may occur between species or within a single species. This type of selection can either be positive—with more common phenotypes having higher fitness—or negative, with rarer phenotypes conferring increased fitness.
22.7K
Optimal Foraging
12.9K
How animals obtain and eat their food is called foraging behavior. Foraging can include searching for plants and hunting for prey and depends on the species and environment.
12.9K
Types of Selection
43.2K
Natural selection influences the frequencies of particular alleles and phenotypes within populations in several different ways. Primarily, natural selection can be directional, stabilizing, or disruptive. Directional selection favors one extreme trait and shifts the population towards that phenotype while selecting against individuals displaying alternate traits. Stabilizing selection favors an intermediate trait with a narrow range of variation. Deviation from the optimal phenotype towards an...
43.2K
Hybrid Zones
21.3K
Hybrid zones are narrow regions where two closely related species interact, mate, and produce hybrids. Relative to either parent species, hybrids may possess distinct phenotypic or genetic differences that impact their survival and reproductive success. The genetic variances introduced by hybridization influence species diversity and speciation processes within the hybrid zone.
21.3K
Conservation of Declining Populations
12.1K
Conservation of declining population focuses on ways of detecting, diagnosing, and halting a population decline. The approach uses methods to prevent populations from going extinct.
12.1K
Testing a Claim about Mean: Unknown Population SD
5.0K
A complete procedure of testing a hypothesis about a population mean when the population standard deviation is unknown is explained here.
Estimating a population mean requires the samples to be approximately normally distributed. The data should be collected from the randomly selected samples having no sampling bias. There is no specific requirement for sample size. But if the sample size is less than 30, and we don't know the population standard deviation, a different approach is used;...
Estimating a population mean requires the samples to be approximately normally distributed. The data should be collected from the randomly selected samples having no sampling bias. There is no specific requirement for sample size. But if the sample size is less than 30, and we don't know the population standard deviation, a different approach is used;...
5.0K

