The DOI matches its Crossref record; 40 of the 40 references it cites were found in a registry or an index.
High carbon dioxide uptake by subtropical forest ecosystems in the East Asian monsoon region
Open accessAbstract
Significance: Understanding the location of carbon sources and sinks is essential for accurately predicting future changes in atmospheric carbon dioxide and climate. Mid- to high-latitude terrestrial ecosystems are well known to be the principal carbon sink regions, yet less attention has been paid to the mid- to low-latitude ecosystems. In this study, long-term eddy covariance observations demonstrate that there is a high carbon dioxide uptake (net ecosystem productivity) by the mid- to low-latitude East Asian monsoon subtropical forests that were shaped by the uplift of the Tibetan Plateau. Increasing nitrogen deposition, a young forest age structure, and sufficient water and heat availability combined to contribute to this large carbon dioxide uptake.
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Climate change 2007: the physical science basis
Solomon, S., Qin, D., Manning, M., Marquis, M. C., Averyt, K. B., Tignor, M., Miller, H. L., & Chen, Z. (2007) · Cited by 23,383
Self-citationTHE USE OF MULTIPLE MEASUREMENTS IN TAXONOMIC PROBLEMS
FISHER, R. A. (1936) · Annals of Eugenics · doi:10.1111/j.1469-1809.1936.tb02137.x · Cited by 15,227
Climate Change 2001: The Scientific Basis
Cooper, R. N., Houghton, J. T., McCarthy, J. J., & Metz, B. (2002) · Foreign Affairs · doi:10.2307/20033020 · Cited by 12,889
A large and persistent carbon sink in the world’s forests
Pan, Y., Birdsey, R. A., Fang, J., Houghton, R., Kauppi, P. E., Kurz, W. A., Phillips, O. L., Shvidenko, A., Lewis, S. L., Canadell, J. G., et al. (2011) · Science · doi:10.1126/science.1201609 · Cited by 8,458
Self-citationNitrogen cycles: Past, present, and future
Galloway, J. N., Dentener, F. J., Capone, D. G., Boyer, E. W., Howarth, R. W., Seitzinger, S. P., Asner, G. P., Cleveland, C. C., Green, P. A., Holland, E. A., et al. (2004) · Biogeochemistry · doi:10.1007/s10533-004-0370-0 · Cited by 5,315
Correction of flux measurements for density effects due to heat and water vapour transfer
Webb, E. K., Pearman, G. I., & Leuning, R. (1980) · Quarterly Journal of the Royal Meteorological Society · doi:10.1002/qj.49710644707 · Cited by 4,452
Reichstein, M., Falge, E., Baldocchi, D., Papale, D., Aubinet, M., Berbigier, P., Bernhofer, C., Buchmann, N., Gilmanov, T., Granier, A., et al. (2005) · Global Change Biology · doi:10.1111/j.1365-2486.2005.001002.x · Cited by 3,810
Global Forest Resources Assessment 2020
(2020) · doi:10.4060/ca9825en · Cited by 3,408
Sitch, S., Smith, B., Prentice, I. C., Arneth, A., Bondeau, A., Cramer, W., Kaplan, J. O., Levis, S., Lucht, W., Sykes, M. T., et al. (2003) · Global Change Biology · doi:10.1046/j.1365-2486.2003.00569.x · Cited by 3,238
NITROGEN LIMITATION OF NET PRIMARY PRODUCTIVITY IN TERRESTRIAL ECOSYSTEMS IS GLOBALLY DISTRIBUTED
LeBauer, D. S., & Treseder, K. K. (2008) · Ecology · doi:10.1890/06-2057.1 · Cited by 2,766
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Detection and attribution of vegetation greening trend in China over the last 30 years
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Self-citationClimate change, human impacts, and carbon sequestration in China
Fang, J., Yu, G., Liu, L., Hu, S., & Chapin, F. S. (2018) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1700304115 · Cited by 767
Self-citationZhao, J., Ma, J., & Zhu, Y. (2019) · Global and Planetary Change · doi:10.1016/j.gloplacha.2019.103010 · Cited by 60
Metadata
- Authors
- Yu, G., Chen, Z., Piao, S., Peng, C., Ciais, P., Wang, Q., Li, X., & Zhu, X.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2014-03-17
- Volume
- 111
- Issue
- 13
- Pages
- 4910-4915
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W1979967512
- Cited by
- 591
- References
- 40
- FWCI
- 20.35
- Type
- journal article
- Language
- en
- Open access
- green
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- Yu, G., Chen, Z., Piao, S., Peng, C., Ciais, P., Wang, Q., Li, X., & Zhu, X. (2014). High carbon dioxide uptake by subtropical forest ecosystems in the East Asian monsoon region. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.1317065111
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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