A slow-fast trait continuum at the whole community level in relation to land-use intensification

Margot Neyret*, Gaëtane Le Provost, Andrea L. Boesing, Florian D. Schneider, Dennis Baulechner, Joana Bergmann, Franciska T. de Vries, Anna Maria Fiore-Donno, Stefan Geisen, Kezia Goldmann, Anna Merges, Ruslan Saifutdinov, Nadja Simons, Joseph Tobias, Andrey Zaitsev, Martin Gossner, Kirsten Jung, Ellen Kandeler, Jochen Krauss, Caterina PenoneMichael Schloter, Stefanie Schulz, Michael Staab, Volkmar Wolters, Antonios Apostolakis, Klaus Birkhofer, Steffen Boch, Runa Boeddinghaus, Ralph Bolliger, Michael Bonkowski, François Buscot, Kenneth Dumack, Markus Fischer, Huei Ying Gan, Johannes Heinze, Norbert Hölzel, Katharina John, Valentin Klaus, Till Kleinebecker, Sven Marhan, Jörg Müller, Swen Renner, Matthias Rillig, Noëlle Schenk, Ingo Schöning, Marion Schrumpf, Sebastian Seibold, Stephanie Socher, Emily Solly, Miriam Teuscher, Mark van Kleunen, Tesfaye Wubet, Peter Manning*

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

2 Citations (Scopus)

Abstract

Organismal functional strategies form a continuum from slow- to fast-growing organisms, in response to common drivers such as resource availability and disturbance. However, whether there is synchronisation of these strategies at the entire community level is unclear. Here, we combine trait data for >2800 above- and belowground taxa from 14 trophic guilds spanning a disturbance and resource availability gradient in German grasslands. The results indicate that most guilds consistently respond to these drivers through both direct and trophically mediated effects, resulting in a ‘slow-fast’ axis at the level of the entire community. Using 15 indicators of carbon and nutrient fluxes, biomass production and decomposition, we also show that fast trait communities are associated with faster rates of ecosystem functioning. These findings demonstrate that ‘slow’ and ‘fast’ strategies can be manifested at the level of whole communities, opening new avenues of ecosystem-level functional classification.
Original languageEnglish
Article number1251
JournalNature Communications
Volume15
Issue number1
DOIs
Publication statusPublished - 24 Feb 2024

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