The DOI matches its Crossref record; 33 of the 33 references it cites were found in a registry or an index.
Scaling of respiration to nitrogen in leaves, stems and roots of higher land plants
Abstract
Using a database of 2510 measurements from 287 species, we assessed whether general relationships exist between mass‐based dark respiration rate and nitrogen concentration for stems and roots, and if they do, whether they are similar to those for leaves. The results demonstrate strong respiration–nitrogen scaling relationships for all observations and for data averaged by species; for roots, stems and leaves examined separately; and for life‐forms (woody, herbaceous plants) and phylogenetic groups (angiosperms, gymnosperms) considered separately. No consistent differences in the slopes of these log–log scaling relations were observed among organs or among plant groups, but respiration rates at any common nitrogen concentration were consistently lower on average in leaves than in stems or roots, indicating that organ‐specific relationships should be used in models that simulate respiration based on tissue nitrogen concentrations. The results demonstrate both common and divergent aspects of tissue‐level respiration–nitrogen scaling for leaves, stems and roots across higher land plants, which are important in their own right and for their utility in modelling carbon fluxes at local to global scales.
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The worldwide leaf economics spectrum
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Self-citationAcceleration of global warming due to carbon-cycle feedbacks in a coupled climate model
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Epigenetics in human disease and prospects for epigenetic therapy
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Assessing the generality of global leaf trait relationships
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Self-citationFrom tropics to tundra: Global convergence in plant functioning
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Self-citationphotosynthesis--nitrogen relationship in wild plants
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Self-citationBalancing the Global Carbon Budget
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Díaz, S., Kattge, J., Cornelissen, J. H. C., Wright, I. J., Lavorel, S., Dray, S., Reu, B., Kleyer, M., Wirth, C., Colin Prentice, I., et al. (2016) · Nature · doi:10.1038/nature16489 · Cited by 3,365
Self-citationTRY – a global database of plant traits
KATTGE, J., DÍAZ, S., LAVOREL, S., PRENTICE, I. C., LEADLEY, P., BÖNISCH, G., GARNIER, E., WESTOBY, M., REICH, P. B., WRIGHT, I. J., et al. (2011) · Global Change Biology · doi:10.1111/j.1365-2486.2011.02451.x · Cited by 2,638
Self-citationFreschet, G. T., Pagès, L., Iversen, C. M., Comas, L. H., Rewald, B., Roumet, C., Klimešová, J., Zadworny, M., Poorter, H., Postma, J. A., et al. (2021) · New Phytologist · doi:10.1111/nph.17572 · Cited by 668
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Which is a better predictor of plant traits: temperature or precipitation?
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Metadata
- Authors
- Reich, P. B., Tjoelker, M. G., Pregitzer, K. S., Wright, I. J., Oleksyn, J., & Machado, J.
- Venue
- Ecology Letters
- Publisher
- Wiley
- Published
- 2008-07-08
- Volume
- 11
- Issue
- 8
- Pages
- 793-801
- ISSN
- 1461-023X (ISSN-L)
- 1461-0248
- OpenAlex
- W2100942741
- Cited by
- 462
- References
- 33
- FWCI
- 15.28
- Type
- journal article
- Language
- en
- Open access
- closed
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