↓ Skip to main content

Evolution in heterogeneous environments: between soft and hard selection.

Overview of attention for article published in The American Naturalist, March 2011
Altmetric Badge

About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (64th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (59th percentile)

Mentioned by

blogs
1 blog

Readers on

mendeley
124 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Article details
Title
Evolution in heterogeneous environments: between soft and hard selection.
Published in
The American Naturalist, March 2011
DOI 10.1086/658178
Pubmed ID
Authors
Abstract

Since their first formulations about half a century ago, the soft and hard selection models have become classical frameworks to study selection in subdivided populations. These models differ in the timing of density regulation and represent two extreme types of selection: density- and frequency-dependent selection (soft) and density- and frequency-independent selection (hard). Yet only few attempts have been made so far to model intermediate scenarios. Here, we design a model where migration may happen twice during the life cycle: before density regulation with probability d(J) (juvenile migration) and after density regulation with probability d(A) (adult migration). In the first step, we analyze the conditions for the coexistence of two specialists. We find that coexistence is possible under a large range of selection types, even when environmental heterogeneity is low. Then, we investigate the different possible outcomes obtained through gradual evolution. We show that polymorphism is more likely to evolve when the trade-off is weak, environmental heterogeneity is high, migration is low, and in particular when juvenile migration is low relative to adult migration, because the timing of migration affects the magnitude of frequency-dependent selection relative to gene flow. This model may provide a more general theoretical framework to experimentally study evolution in heterogeneous environments.

Login to access the Attention Digest and the Sentiment Analysis related to this output.

Timeline Attention over time Attention Score history
Login to access the full charts related to this output.
Activity
Login to access the full charts related to this output.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 124 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Login to view Mendeley reader trends over time.

Geographical breakdown

Geographical breakdown
Country Count As %
France 6 5%
United Kingdom 3 2%
United States 2 2%
Mexico 1 <1%
Switzerland 1 <1%
Canada 1 <1%
Unknown 110 89%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 32 26%
Researcher 32 26%
Student > Master 12 10%
Professor > Associate Professor 8 6%
Student > Doctoral Student 6 5%
Other 17 14%
Unknown 17 14%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 70 56%
Environmental Science 11 9%
Biochemistry, Genetics and Molecular Biology 10 8%
Mathematics 3 2%
Business, Management and Accounting 2 2%
Other 4 3%
Unknown 24 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 20 February 2011.
All research outputs
#9,598,958
of 34,364,397 outputs
Outputs from The American Naturalist
#1,593
of 4,584 outputs
Outputs of similar age
#53,206
of 162,055 outputs
Outputs of similar age from The American Naturalist
#8
of 27 outputs
Altmetric has tracked 34,364,397 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 4,584 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.9. This one has gotten more attention than average, scoring higher than 62% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 162,055 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 64% of its contemporaries.
We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 59% of its contemporaries.