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Functional trait trade-offs define plant population stability across different biomes

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Conti, L., Valencia, E., Galland, T., Götzenberger, L., Lepš, J., E-Vojtkó, A., Carmona, C. P., Májeková, M., Danihelka, J., Dengler, J., Eldridge, D. J., Estiarte, M., García-González, R., Garnier, E., Gómez, D., Hadincová, V., Harrison, S. P., Herben, T., Ibáñez, R., et al. (2023). Functional trait trade-offs define plant population stability across different biomes. Proceedings of the Royal Society B: Biological Sciences, 290(2001), 20230344. https://doi.org/10.1098/RSPB.2023.0344

Abstract

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.

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This research was funded by Czech Science Foundation Grant GACR16-15012S and Czech Academy of Sciences Grant RVO 67985939 and by the Spanish Plan Nacional de I + D + i (project PGC2018-099027-B-I00). R.J.P. was supported by the Scottish Government's Rural and Environmental Sciences and Analytical Services division. M.P. and C.P.C. were supported by the Estonian Research Council grant (grant nos. PRG609 and PSG293). M.P. and M.Z. were supported by the European Regional Development Fund (Centre of Excellence EcolChange). S.K.W. was supported by the Strategic Science Investment Fund of the New Zealand Ministry of Business, Innovation and Employment. E.V. was funded by the 2017 program for attracting and retaining talent of Comunidad de Madrid (grant no. 2017-T2/AMB-5406). B.A.W. is funded by NERC under AgZero + NE/W005050/1 and RestREco NE/V006444/1. R.M. was supported by Defra and the Leverhulme Trust. T.P.Y. was supported by the U.S. National Science Foundation (19-31224). J.P. was supported by the Fundación Ramón Areces grant CIVP20A6621.

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