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Shifts in the relative fitness contributions of fecundity and survival in variable and changing environments

Journal of Experimental Biology, ISSN: 1477-9145, Vol: 224, Issue: Pt Suppl 1
2021
  • 15
    Citations
  • 0
    Usage
  • 51
    Captures
  • 1
    Mentions
  • 2
    Social Media
Metric Options:   Counts1 Year3 Year

Metrics Details

  • Citations
    15
  • Captures
    51
  • Mentions
    1
    • News Mentions
      1
      • News
        1
  • Social Media
    2
    • Shares, Likes & Comments
      2
      • Facebook
        2

Most Recent News

Making a difference: comparative biologists tackle climate change

Journal of Experimental Biology publishes a collection of Reviews dedicated to strategies for, and predictions of, the impact of climate change. Focusing on the role of physiology in the ability of animals to tolerate and adapt, the collection discusses the impact of climate change on species ranging from polar bears and narwhals, to birds, reptiles, corals, fish and insects, outlining the challen

Review Description

Organisms respond to shifts in climate means and variability via distinct mechanisms. Accounting for these differential responses and appropriately aggregating them is central to understanding and predicting responses to climate variability and change. Separately considering fitness components can clarify organismal responses: fecundity is primarily an integrated, additive response to chronic environmental conditions over time via mechanisms such as energy use and acquisition, whereas survival can be strongly influenced by short-term, extreme environmental conditions. In many systems, the relative importance of fecundity and survival constraints changes systematically along climate gradients, with fecundity constraints dominating at high latitudes or altitudes (i.e. leading range edges as climate warms), and survival constraints dominating at trailing range edges. Incorporating these systematic differences in models may improve predictions of responses to recent climate change over models that assume similar processes along environmental gradients. We explore how detecting and predicting shifts in fitness constraints can improve our ability to forecast responsesto climate gradients and change.

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