Evidence map›Paper›PMID 34428970›Full record

ReviewProceedings. Biological sciences2021

Fluctuating selection and global change: a synthesis and review on disentangling the roles of climate amplitude, predictability and novelty.

M C Bitter, J M Wong, H G Dam, S C Donelan, C D Kenkel, L M Komoroske, K J Nickols, E B Rivest, S Salinas, S C Burgess and 1 more

Abstract readReview
In one paragraph

Review in Proceedings. Biological sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

19 citing papers in PubMed.

  1. Article
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  6. Review
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  14. Evidence for adaptive morphological plasticity in the Caribbean coral,Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  15. Article
  16. Article
  17. Evolution in changing seas.Proceedings. Biological sciences · 2021
    Article
  18. Review
  19. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

M C BitterDepartment of Biology, Stanford University, Stanford, CA, USA.
J M WongEnvironmental Epigenetics Laboratory, Institute of Environment, Florida International University, Miami, FL, USA.
H G DamDepartment of Marine Sciences, University of Connecticut Groton, CT, USA.
S C DonelanSmithsonian Environmental Research Center, Edgewater, MD, USA.
C D KenkelDepartment of Biological Sciences, University of Southern California, Los Angeles, CA, USA.
L M KomoroskeDepartment of Environmental Conservation, University of Massachusetts Amherst, Amherst, MA, USA.
K J NickolsDepartment of Biology, California State University Northridge, Northridge, CA, USA.
E B RivestDepartment of Biological Sciences, Virginia Institute of Marine Science, William & Mary, Gloucester Point, VA, USA.
S SalinasDepartment of Biology, Kalamazoo College, Kalamazoo, MI, USA.
S C BurgessDepartment of Biological Science, Florida State University, Tallahassee, FL, USA.
K E LotterhosNortheastern University Marine Science Center, Nahant, MA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A formidable challenge for global change biologists is to predict how natural populations will respond to the emergence of conditions not observed at present, termed novel climates. Popular approaches to predict population vulnerability are based on the expected degree of novelty relative to the amplitude of historical climate fluctuations experienced by a population. Here, we argue that predictions focused on amplitude may be inaccurate because they ignore the predictability of environmental fluctuations in driving patterns of evolution and responses to climate change. To address this disconnect, we review major findings of evolutionary theory demonstrating the conditions under which phenotypic plasticity is likely to evolve in natural populations, and how plasticity decreases population vulnerability to novel environments. We outline key criteria that experimental studies should aim for to effectively test theoretical predictions, while controlling for the degree of climate novelty. We show that such targeted tests of evolutionary theory are rare, with marine systems being overall underrepresented in this venture despite exhibiting unique opportunities to test theory. We conclude that with more robust experimental designs that manipulate both the amplitude and predictability of fluctuations, while controlling for the degree of novelty, we may better predict population vulnerability to climate change.

Indexed as

Adaptation, PhysiologicalBiological EvolutionClimate Changeclimate changeevolutionary theoryfluctuating environmentsmarine biologyphenotypic plasticity

Identifiers

PMID34428970
PMCPMC8385344

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.