Published September 18, 2023 | Version v1.0.0
Dataset Open

Going across taxa in functional ecology: review and perspectives of an emerging field

  • 1. Universidade Federal de Santa Maria
  • 2. Australian Institute of Marine Science, Crawley, WA, Australia; Oceans Institute, The University of Western Australia, Crawley, WA, Australia
  • 3. Laboratório de Ciências Ambientais, Universidade Estadual do Norte Fluminense. Campos dos Goytacazes - RJ, Brazil.
  • 4. Laboratory for Theoretical and Applied Ecology. Universidade Federal de Santa Maria. Santa Maria - RS, Brazil.
  • 5. Reef Systems Ecology and Conservation Lab. Universidade Federal Fluminense, Niterói - RJ, Brazil
  • 6. Marine Macroecology and Biogeography Lab, Universidade Federal de Santa Catarina. Florianópolis - SC, Brazil
  • 7. Universidade Federal do Oeste do Pará, Campus Oriximiná - PA, Brazil.
  • 8. Research Institute for the Environment and Livelihoods, Charles Darwin University. Darwin - NT, Australia
  • 9. Reef Systems Ecology and Conservation Lab. Universidade Federal Fluminense, Niterói - RJ, Brazil.
  • 10. Laboratório de Ecologia de Ambientes Recifais, Centro de Ciências Biológicas. Universidade Federal de Santa Catarina. Florianópolis - SC, Brazil.
  • 11. Centro de Biologia Marinha, Universidade de São Paulo. São Sebastião - SP, Brazil; Department of Evolution, Ecology and Organismal Biology at The Ohio State University USA.
  • 12. Marine Ecology Laboratory, Department of Oceanography and Limnology, Universidade Federal do Rio Grande do Norte. Natal - RN, Brasil.
  • 13. Marine Macroecology and Conservation Lab. Universidade Federal de Santa Maria. Santa Maria - RS, Brazil.

Description

This dataset and all routines of analysis accompany the article "Going across taxa in functional ecology: review and perspectives of an emerging field", accepted in Functional Ecology. The dataset was obtained through a literature review in Web of Science (following the PRISMA principles for reviews and meta-analysis). We searched for studies using a trait-based approach in the study of multiple taxa. Then we applied quantitative analysis, based on the principles of ecological networks, to provide an overview of the use of multiple traits and taxa in functional ecology.

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