Data associated with "Warm temperature is associated with reduced body mass and diversification rates while increasing extinction risks in cold-adapted seabirds"
Authors/Creators
- 1. Sichuan Agricultural University
- 2. Tibet Agricultural & Animal Husbandry University
- 3. Zhengzhou Normal University
- 4. Institute of Zoology, Chinese Academy of Sciences
Description
This record contains data associated with the paper "Warm temperature is associated with reduced body mass and diversification rates while increasing extinction risks in cold-adapted seabirds";
Four files including Dataset S1 for 328 seabird species, range maps for Non-Procellariimorphae seabirds and Procellariimorphae seabirds, and model results, are described further in the sections below.
1. Dataset S1 file
Dataset S1 includes species traits, environment temperature and species-level lineage diversification rates. Four subfiles contain data for 182 Non-Procellariimorphae seabirds and 146 Procellariimorphae seabirds, 138 and 159 extinct species from Non-Procellariimorphae seabirds and Procellariimorphae seabirds across 65 million years, respectively.
| Variable | Long name |
| NPMseabirds | Non-Procellariimorphae seabirds |
| PMseabirds | Procellariimorphae seabirds |
| extinctNPM | Extinct Non-Procellariimorphae seabirds |
| extinctPM | Extinct Procellariimorphae seabirds |
| Mass(g) | Body mass (g) |
| HWI | Hand-wing index |
| DR | Diversification rate |
| GenLength | Generation length (year) |
| AnnualTemp | Mean annual temperature (℃) |
| CR | Critically endangered |
| EN | Endangered |
| VU | Vulnerable |
| NT | Near threatened |
| LC | Least concerned |
| DD | Data deficient |
| n_occs | Occurrence number |
| max_ma | Max age (million years) |
| min_ma | Min age (million years) |
2. NPM_seabirds.zip file
This file includes range maps of 146 non-Procellariimorphae seabirds.
3. PM_seabirds.zip file
This file includes range maps of 180 Procellariimorphae seabirds.
4. Model_Results.docx file
This file includes the results of phylogenetic generalized ANOVA, spatial autoregressive models, Bayesian phylogenetic regression and phylogenetic logistic regression.