↓ Skip to main content

PNAS

Evolutionary tipping points in the capacity to adapt to environmental change

Overview of attention for article published in Proceedings of the National Academy of Sciences of the United States of America, November 2014
Altmetric Badge

About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

news
4 news outlets
blogs
2 blogs
twitter
64 X users
facebook
2 Facebook pages

Citations

dimensions_citation
365 Dimensions

Readers on

mendeley
758 Mendeley
citeulike
2 CiteULike
Title
Evolutionary tipping points in the capacity to adapt to environmental change
Published in
Proceedings of the National Academy of Sciences of the United States of America, November 2014
DOI 10.1073/pnas.1408589111
Pubmed ID
Authors

Carlos A. Botero, Franz J. Weissing, Jonathan Wright, Dustin R. Rubenstein

Abstract

In an era of rapid climate change, there is a pressing need to understand how organisms will cope with faster and less predictable variation in environmental conditions. Here we develop a unifying model that predicts evolutionary responses to environmentally driven fluctuating selection and use this theoretical framework to explore the potential consequences of altered environmental cycles. We first show that the parameter space determined by different combinations of predictability and timescale of environmental variation is partitioned into distinct regions where a single mode of response (reversible phenotypic plasticity, irreversible phenotypic plasticity, bet-hedging, or adaptive tracking) has a clear selective advantage over all others. We then demonstrate that, although significant environmental changes within these regions can be accommodated by evolution, most changes that involve transitions between regions result in rapid population collapse and often extinction. Thus, the boundaries between response mode regions in our model correspond to evolutionary tipping points, where even minor changes in environmental parameters can have dramatic and disproportionate consequences on population viability. Finally, we discuss how different life histories and genetic architectures may influence the location of tipping points in parameter space and the likelihood of extinction during such transitions. These insights can help identify and address some of the cryptic threats to natural populations that are likely to result from any natural or human-induced change in environmental conditions. They also demonstrate the potential value of evolutionary thinking in the study of global climate change.

X Demographics

X Demographics

The data shown below were collected from the profiles of 64 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 758 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 16 2%
United Kingdom 3 <1%
Norway 3 <1%
France 3 <1%
Canada 2 <1%
Germany 2 <1%
Brazil 2 <1%
Switzerland 1 <1%
Chile 1 <1%
Other 7 <1%
Unknown 718 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 206 27%
Researcher 140 18%
Student > Master 88 12%
Student > Bachelor 70 9%
Student > Doctoral Student 33 4%
Other 117 15%
Unknown 104 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 379 50%
Environmental Science 103 14%
Biochemistry, Genetics and Molecular Biology 47 6%
Earth and Planetary Sciences 19 3%
Physics and Astronomy 12 2%
Other 60 8%
Unknown 138 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 83. 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 27 January 2018.
All research outputs
#523,311
of 26,017,215 outputs
Outputs from Proceedings of the National Academy of Sciences of the United States of America
#9,123
of 104,451 outputs
Outputs of similar age
#6,146
of 375,799 outputs
Outputs of similar age from Proceedings of the National Academy of Sciences of the United States of America
#162
of 963 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 104,451 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 39.5. This one has done particularly well, scoring higher than 91% 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 375,799 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 98% of its contemporaries.
We're also able to compare this research output to 963 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.