Plant evolutionary history mainly explains the variance in biomass responses to climate warming at a global scale
© 2019 The Authors. New Phytologist © 2019 New Phytologist Trust.
Veröffentlicht in: | The New phytologist. - 1979. - 222(2019), 3 vom: 18. Mai, Seite 1338-1351 |
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1. Verfasser: | |
Weitere Verfasser: | , , , , , , , |
Format: | Online-Aufsatz |
Sprache: | English |
Veröffentlicht: |
2019
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Zugriff auf das übergeordnete Werk: | The New phytologist |
Schlagworte: | Journal Article Research Support, Non-U.S. Gov't evolutionary history global warming intraspecific variation leaf traits phylogenetic relatedness plant biomass variance partitioning |
Zusammenfassung: | © 2019 The Authors. New Phytologist © 2019 New Phytologist Trust. Evolutionary history shapes the interspecific relatedness and intraspecific variation, which has a profound influence on plant functional traits and productivity. However, it is far from clear how the phylogenetic relatedness among species and intraspecific variation could contribute to the observed variance in plant biomass responses to climate warming. We compiled a dataset with 284 species from warming experiments to explore the relative importance of phylogenetic, intraspecific, experimental and ecological factors to warming effects on plant biomass, using phylogenetic eigenvector regression and variance decomposition. Our results showed that phylogenetic relatedness could account for about half the total variance in biomass responses to warming, which were correlated with leaf economic traits at the family level but not at species level. The intraspecific variation contributed to approximately one-third of the variance, whereas the experimental design and ecological characteristics only explained 7-17%. These results suggest that intrinsic factors (evolutionary history) play more important roles than extrinsic factors (experimental treatment and environment) in determining the responses of plant biomass to warming at the global scale. This highlights the urgent need for land surface models to include evolutionary aspects in predicting ecosystem functions under climate change |
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Beschreibung: | Date Completed 27.02.2020 Date Revised 30.09.2020 published: Print-Electronic Citation Status MEDLINE |
ISSN: | 1469-8137 |
DOI: | 10.1111/nph.15695 |