Table S2 Datasets information.xlsx from Functional traits trade-offs define plant population stability across different biomes

  1. Conti, Luisa
  2. Valencia, Enrique
  3. Galland, Thomas
  4. Götzenberger, Lars
  5. Lepš, Jan
  6. E-Vojtkó, Anna
  7. Carmona, Carlos P.
  8. Májeková, Maria
  9. Danihelka, Jiří
  10. Dengler, Jürgen
  11. Eldridge, David J.
  12. Estiarte, Marc
  13. García-González, Ricardo
  14. Garnier, Eric
  15. Gómez, Daniel
  16. Hadincová, Věra
  17. Harrison, Susan P.
  18. Herben, Tomáš
  19. Ibáñez, Ricardo
  20. Jentsch, Anke
  21. Juergens, Norbert
  22. Kertész, Miklós
  23. Klumpp, Katja
  24. Krahulec, František
  25. Louault, Frédérique
  26. Marrs, Rob H.
  27. Ónodi, Gábor
  28. Pakeman, Robin J.
  29. Pärtel, Meelis
  30. Peco, Begoña
  31. Peñuelas, Josep
  32. Rueda, Marta
  33. Schmidt, Wolfgang 123
  34. Schmiedel, Ute
  35. Schuetz, Martin
  36. Skalova, Hana
  37. Šmilauer, Petr
  38. Šmilauerová, Marie
  39. Smit, Christian
  40. Song, MingHua
  41. Stock, Martin
  42. Val, James
  43. Vandvik, Vigdis 4
  44. Ward, David 5
  45. Wesche, Karsten 678
  46. Wiser, Susan K.
  47. Woodcock, Ben A.
  48. Young, Truman P.
  49. Yu, Fei-Hai 9
  50. Zobel, Martin 10
  51. de Bello, Francesco
  52. Erakutsi egile guztiak +
  1. 1 National Taiwan University
    info

    National Taiwan University

    Taipéi, Taiwán

    ROR https://ror.org/05bqach95

  2. 2 National Chung Hsing University
    info

    National Chung Hsing University

    Taichung, Taiwán

    ROR https://ror.org/05vn3ca78

  3. 3 Institute of Plant and Microbial Biology, Academia Sinica
  4. 4 University of Bergen
    info

    University of Bergen

    Bergen, Noruega

    ROR https://ror.org/03zga2b32

  5. 5 Kent State University
    info

    Kent State University

    Kent, Estados Unidos

    ROR https://ror.org/049pfb863

  6. 6 German Center for Integrative Biodiversity Research
    info

    German Center for Integrative Biodiversity Research

    Leipzig, Alemania

    ROR https://ror.org/01jty7g66

  7. 7 Dresden University of Technology
    info

    Dresden University of Technology

    Dresde, Alemania

    ROR https://ror.org/042aqky30

  8. 8 Senckenberg Museum Görlitz
  9. 9 Taizhou University
    info

    Taizhou University

    Taizhou, China

    ROR https://ror.org/04fzhyx73

  10. 10 University of Tartu
    info

    University of Tartu

    Tartu, Estonia

    ROR https://ror.org/03z77qz90

Erakutsi afiliazioak +

Argitaratzaile: The Royal Society

Argitalpen urtea: 2023

Mota: Dataset

CC BY 4.0

DOI: 10.6084/M9.FIGSHARE.23451533 lock_openSarbide irekia editor

Laburpena

Ecological theory posits that temporal stability patterns in plant populations are associated with differences in species' ecological strategies. However, empirical evidence is lacking about which traits, or trade-offs, underlie species stability, especially across different biomes. We compiled a worldwide collection of long-term permanent vegetation records (greater than 7000 plots from 78 datasets) from a large range of habitats which we combined with existing trait databases. We tested whether the observed inter-annual variability in species abundance (coefficient of variation) was related to multiple individual traits. We found that populations with greater leaf dry matter content and seed mass were more stable over time. Despite the variability explained by these traits being low, their effect was consistent across different datasets. Other traits played a significant, albeit weaker, role in species stability, and the inclusion of multi-variate axes or phylogeny did not substantially modify nor improve predictions. These results provide empirical evidence and highlight the relevance of specific ecological trade-offs, i.e. in different resource-use and dispersal strategies, for plant populations stability across multiple biomes. Further research is, however, necessary to integrate and evaluate the role of other specific traits, often not available in databases, and intraspecific trait variability in modulating species stability.