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Cited by 936

The DOI matches its Crossref record; 64 of the 64 references it cites were found in a registry or an index.

Influence of spring and autumn phenological transitions on forest ecosystem productivity

Open access
Richardson, Andrew D., Andy Black, T., Ciais, Philippe, Delbart, Nicolas, Friedl, Mark A., Gobron, Nadine, Hollinger, David Y., Kutsch, Werner L., Longdoz, Bernard, Luyssaert, Sebastiaan, Migliavacca, Mirco, Montagnani, Leonardo, William Munger, J., Moors, Eddy, Piao, Shilong, Rebmann, Corinna, Reichstein, Markus, Saigusa, Nobuko, Tomelleri, Enrico, Vargas, Rodrigo, Varlagin, Andrej·2010·Philosophical Transactions of the Royal Society B: Biological Sciences

Abstract

We use eddy covariance measurements of net ecosystem productivity (NEP) from 21 FLUXNET sites (153 site-years of data) to investigate relationships between phenology and productivity (in terms of both NEP and gross ecosystem photosynthesis, GEP) in temperate and boreal forests. Results are used to evaluate the plausibility of four different conceptual models. Phenological indicators were derived from the eddy covariance time series, and from remote sensing and models. We examine spatial patterns (across sites) and temporal patterns (across years); an important conclusion is that it is likely that neither of these accurately represents how productivity will respond to future phenological shifts resulting from ongoing climate change. In spring and autumn, increased GEP resulting from an ‘extra’ day tends to be offset by concurrent, but smaller, increases in ecosystem respiration, and thus the effect on NEP is still positive. Spring productivity anomalies appear to have carry-over effects that translate to productivity anomalies in the following autumn, but it is not clear that these result directly from phenological anomalies. Finally, the productivity of evergreen needleleaf forests is less sensitive to phenology than is productivity of deciduous broadleaf forests. This has implications for how climate change may drive shifts in competition within mixed-species stands.

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Metadata

Authors
Richardson, A. D., Andy Black, T., Ciais, P., Delbart, N., Friedl, M. A., Gobron, N., Hollinger, D. Y., Kutsch, W. L., Longdoz, B., Luyssaert, S., Migliavacca, M., Montagnani, L., William Munger, J., Moors, E., Piao, S., Rebmann, C., Reichstein, M., Saigusa, N., Tomelleri, E., Vargas, R., & Varlagin, A.
Venue
Philosophical Transactions of the Royal Society B: Biological Sciences
Published
2010-10-12
Volume
365
Issue
1555
Pages
3227-3246
ISSN
  • 0962-8436 (ISSN-L)
  • 1471-2970
OpenAlex
W2114313289
Cited by
936
References
64
FWCI
28.86
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Influence of spring and autumn phenological transitions on forest ecosystem productivity. https://app.cochat.ai/papers/10.1098/rstb.2010.0102
The paper
Richardson, A. D., Andy Black, T., Ciais, P., Delbart, N., Friedl, M. A., Gobron, N., Hollinger, D. Y., Kutsch, W. L., Longdoz, B., Luyssaert, S., Migliavacca, M., Montagnani, L., William Munger, J., Moors, E., Piao, S., Rebmann, C., Reichstein, M., Saigusa, N., Tomelleri, E., . . . Varlagin, A. (2010). Influence of spring and autumn phenological transitions on forest ecosystem productivity. Philosophical Transactions of the Royal Society B: Biological Sciences. https://doi.org/10.1098/rstb.2010.0102

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.