Data underlying the publication: Unraveling drivers of local adaptation through Evolutionary Functional-Structural Plant modelling.

DOI:10.4121/a826cd0b-e818-451b-b005-3afa417fce41.v1
The DOI displayed above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
DOI: 10.4121/a826cd0b-e818-451b-b005-3afa417fce41

Datacite citation style

de Vries, Jorad; Fior, Simone; Pålsson, Aksel; Widmer, Alex; Alexander, Jake (2024): Data underlying the publication: Unraveling drivers of local adaptation through Evolutionary Functional-Structural Plant modelling. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/a826cd0b-e818-451b-b005-3afa417fce41.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

This is a repository of the data presented in the paper entitled "Unraveling drivers of local adaptation through Evolutionary Functional-Structural Plant modelling" by de Vries et.al.. In this ecological study, we present and validate an evolutionary functional-structural plant model, which we use to disentangle the relative contribution of different abiotic and biotic selection pressures on local adaptation in an alpine carnation. The study contains data generated with the mechanistic modelling approach presented in the study, and empirical data collected from in situ populations of D. carthusianorum. This data repository contains the model code, model output, empirical data, and the R scripts used to analyse the data and produce the figures presented in the paper.

History

  • 2024-09-06 first online, published, posted

Publisher

4TU.ResearchData

Format

.csv, .R, .gsz, .txt, .zip

Funding

  • ETH Zürich Postdoctoral Fellowship (grant code 19-2 FEL-72) ETH Zürich
  • European Union’s Horizon 2020 research and innovation programme under grant agreement No. 678841 (grant code 678841) European Union
  • Swiss National Science Foundation (SNF) (grant code 31003A_182675) Swiss National Science Foundation (SNF)

Organizations

ETH Zurich, Institute of Integrative Biology, Zurich, Switzerland
Wageningen University and Research, Department Environmental Science, Wageningen

DATA

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