Published March 28, 2021 | Version v1
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Data from: Latitudinal embryonic thermal tolerance and plasticity shape the vulnerability of oviparous species to climate change

  • 1. Chinese Academy of Sciences
  • 2. Hebei Normal University
  • 3. University of Washington
  • 4. Tel Aviv University
  • 5. Hangzhou Normal University

Description

Heat tolerance at the immobile embryonic stage is expected to be critical in determining species vulnerability to climate change. However, how the mean and developmental plasticity of embryonic heat tolerance vary geographically, and how these geographic variations affect species' vulnerability under climate change remain unknown. We experimentally determined the mean and developmental plasticity of embryonic acute heat tolerance (EAHT, i.e., heat shock temperature at which embryonic heartbeats ceased) for three latitudinally-distributed populations of an oviparous lacertid lizard. The experimental results suggested that the mean EAHT decreased with decreasing latitude and that the reaction norms of EAHT in relation to developmental temperatures showed 'flat', 'bell-shaped', and 'decreasing' patterns at high, medium, and low latitudes, respectively. Based on the means and plasticity of EAHT and weather data across China, we project that the heat stress frequency would increase from present to the future and increase towards low latitudes. Furthermore, heat stress becomes more extensive with the incorporation of developmental plasticity. Incorporating the mean EAHT during the embryonic development season, heat stress frequency, and climate variables in a species distribution model projects that suitable habitats could move northward in response to ongoing climate change and shrink due to the loss of southern habitat. Moreover, even lizards within the areas that are predicted to remain highly suitable are expected to experience increases in heat stress over time, particularly at medium and low latitudes. Our study reveals geographic variation in the mean and developmental plasticity of EAHT and highlights its importance for predicting species vulnerability and range shifts in response to climate change.

Notes

The dataset contains five excel files and two codes in R. 

The details for method and analysis are provided in the main text of the paper.

The description for each item in excels are provided separately in each sheet of file, or you can see details in readme file. 

Funding provided by: Strategic Priority Research Program of Chinese Academy of Sciences*
Crossref Funder Registry ID:
Award Number: XDB31000000

Funding provided by: National Natural Science Foundation of China
Crossref Funder Registry ID: http://dx.doi.org/10.13039/501100001809
Award Number: 31720103904

Funding provided by: National Natural Science Foundation of China
Crossref Funder Registry ID: http://dx.doi.org/10.13039/501100001809
Award Number: 31525006

Funding provided by: National Natural Science Foundation of China
Crossref Funder Registry ID: http://dx.doi.org/10.13039/501100001809
Award Number: 31870391

Funding provided by: National Natural Science Foundation of China
Crossref Funder Registry ID: http://dx.doi.org/10.13039/501100001809
Award Number: 31801987

Funding provided by: Youth Innovation Promotion Association of the Chinese Academy of Sciences
Crossref Funder Registry ID: http://dx.doi.org/10.13039/501100004739
Award Number: 2019085

Funding provided by: China Postdoctoral Science Foundation
Crossref Funder Registry ID: http://dx.doi.org/10.13039/501100002858
Award Number: 2018M631571

Funding provided by: Strategic Priority Research Program of Chinese Academy of Sciences
Crossref Funder Registry ID: http://dx.doi.org/None
Award Number: XDB31000000

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Additional details

Related works

Is source of
10.5061/dryad.bk3j9kdbk (DOI)