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Seasonality and predictability shape temporal species diversity.

Jonathan D Tonkin1, Michael T Bogan2, Núria Bonada3

  • 1Department of Integrative Biology, Oregon State University, Corvallis, Oregon, 97331, USA.

Ecology
|February 2, 2017
PubMed
Summary
This summary is machine-generated.

Highly predictable and seasonal climates maximize temporal biodiversity. Environmental predictability and seasonality are key factors influencing species diversity and ecosystem management, especially in changing climates.

Keywords:
climatecommunitiesdesert annualsmigratory waterfowlperiodicityseasonsstream invertebratestemporal beta diversityturnoverwavelets

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Area of Science:

  • Ecology
  • Environmental Science
  • Biodiversity Research

Background:

  • Temporal environmental fluctuations, like seasonality, significantly impact biodiversity.
  • The influence of yearly fluctuation predictability on seasonality's effect on biodiversity is not fully understood.
  • Habitat's ability to support distinct species assemblages seasonally depends on seasonality and predictability of ecological conditions.

Purpose of the Study:

  • To develop a framework for quantifying habitat seasonality and predictability.
  • To analyze how seasonality and predictability influence temporal beta diversity.
  • To investigate the relationship between environmental variability, predictability, and stream invertebrate community turnover.

Main Methods:

  • Utilized wavelet analysis and information theory to quantify seasonality and predictability.
  • Applied the framework to global long-term rainfall data.
  • Examined stream invertebrate communities as a case study for temporal species diversity.

Main Results:

  • Predicted that temporal beta diversity is highest in predictable and seasonal climates.
  • Demonstrated that temporal species diversity is driven by a balance between environmental variability (seasonality) and its reliability (predictability).
  • Observed strong community structure oscillations in seasonal Mediterranean environments versus random fluctuations in aseasonal New Zealand environments.

Conclusions:

  • Understanding temporal diversity requires assessing both seasonality and predictability of environmental oscillations.
  • The developed framework aids in examining diversity trends across various temporal scales.
  • Seasonality and predictability are crucial for ecosystem management and conservation under climate uncertainty.