4 Works

Data for: Environmental and anthropogenic constraints on animal space use drive extinction risk worldwide

Myriam R. Hirt, Andrew D. Barnes, Alessandro Gentile, Laura J. Pollock, Benjamin Rosenbaum, Wilfried Thuiller, Marlee A. Tucker & Ulrich Brose
Animals require a certain amount of habitat to persist and thrive, and habitat loss is one of the most critical drivers of global biodiversity decline. While habitat requirements have been predicted by relationships between species traits and home range size, little is known about constraints imposed by environmental conditions and human impacts on a global scale. Our meta-analysis of 395 vertebrate species shows that global climate gradients in temperature and precipitation exert indirect effects via...

Data from: Putting vascular epiphytes on the traits map

Peter Hietz, Katrin Wagner, Flavio Nunes Ramos, Juliano Sarmento Cabral, Gerhard Zotz, Claudia Agudelo, Ana Maria Benavides, Manuel Cach Pérez, Catherine Cardelús, Nahelli Chilpa Galván, Lucas Costa, Rodolfo De Paula Oliveiras, Helena Einzmann, Rafael Farias, Valeria Guzmán Jacob, Michael Kessler, Catherine Kirby, Holger Kreft, Thorsten Krömer, Jamie Males, Samuel Monsalve Correa, Maria Moreno, Gunnar Petter, Casandra Reyes, Alfredo Saldaña … & Carrie Woods
Epiphyte trait data for the paper Hietz et al. 2021 Putting vascular epiphytes on the traits map. Journal of Ecology Plant functional traits impact the fitness and environmental niche of plants. Major plant functional types have been characterized by their trait spectrum, and the environmental and phylogenetic imprints on traits have advanced several ecological fields. Yet very few trait data on epiphytes, which represent almost 10% of vascular plants, are available. We collated >80,000 mostly...

Data from: Machine learning identifies ecological selectivity patterns across the end-Permian mass extinction

William Foster, Georgy Ayzel, Jannes Münchmeyer, Tabea Rettelbach, Niklas Kitzmann, Terry Isson, Maria Mutti & Martin Aberhan
The end-Permian mass extinction occurred alongside a large swathe of environmental changes that are often invoked as extinction mechanisms, even when a direct link is lacking. One way to elucidate the cause(s) of a mass extinction is to investigate extinction selectivity as it can reveal critical information on organismic traits as key determinants of extinction and survival. Here we show that machine learning algorithms, specifically gradient boosted decision trees, can be used to identify determinants...

Social selection is density dependent but makes little contribution to total selection in New Zealand giraffe weevils

David Fisher, Rebecca Le Grice & Christina Painting
Social selection occurs when traits of interaction partners influence an individual’s fitness and can alter total selection strength. However, we have little idea of what factors influence social selection’s strength. Further, social selection only contributes to overall selection when there is phenotypic assortment, but simultaneous estimates of social selection and phenotypic assortment are rare. Here we estimated social selection on body size in a wild population of New Zealand giraffe weevils (Lasiorhynchus barbicornis). We measured...

Registration Year

  • 2021

Resource Types

  • Dataset


  • University of Waikato
  • University of Würzburg
  • University of Cambridge
  • University of Aberdeen
  • Radboud University Nijmegen
  • German Center for Integrative Biodiversity Research
  • McGill University
  • University of Göttingen
  • University of Zurich
  • University of Brasília