Published July 23, 2025 | Version v1
Dataset Open

Data from: Climate change is associated with a higher extinction risk of a subshrub in anthropogenic landscapes

  • 1. ROR icon University of Zurich
  • 2. Universidad de Cádiz
  • 3. ROR icon Center for Climate and Resilience Research
  • 4. Estación Biológica de Doñana

Description

This dataset contains the data and R scripts to estimate the survival, growth, flowering probability, number of flowers, and seedling size of the fire-adapted subshrub dewy pine (Drosophyllum lusitanicum) monitored between 2016 and 2022 in three natural and five anthropogenic (i.e., highly human-dominated permanently disturbed sites) in southern Spain.

We used Generalised Additive Models to investigate how rainfall, temperature, and density affect the survival, growth, and reproduction of individuals in natural and anthropogenic populations of dewy-pines.

The README file further describes each uploaded file.

Files

Data.zip

Files (177.2 MB)

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md5:92e7e5dfa548ff0a565aab6c73e381e2
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md5:b9663260cae054fafa3ca432bc4c89b6
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md5:a51a44ccd4ec857f410cd9126fc90c01
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md5:3b87e6cadbd14c5c683fc53923305ed6
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Additional details

Funding

Swiss National Science Foundation
Population Persistence Under Environmental Change Across Space and Time: A Unified Framework 182286
Agencia Estatal de Investigación
RYC2021-033192-I

Dates

Submitted
2025-08-13

Software

Programming language
R