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dc.contributor.authorZhang, Y
dc.contributor.authorXiao, X
dc.contributor.authorGuanter, L
dc.contributor.authorZhou, S
dc.contributor.authorCiais, P
dc.contributor.authorJoiner, J
dc.contributor.authorSitch, S
dc.contributor.authorWu, X
dc.contributor.authorNabel, J
dc.contributor.authorDong, J
dc.contributor.authorKato, E
dc.contributor.authorJain, AK
dc.contributor.authorWiltshire, A
dc.contributor.authorStocker, BD
dc.date.accessioned2018-03-08T10:50:19Z
dc.date.issued2016-12-23
dc.description.abstractCarbon uptake by terrestrial ecosystems is increasing along with the rising of atmospheric CO2concentration. Embedded in this trend, recent studies suggested that the interannual variability (IAV) of global carbon fluxes may be dominated by semi-arid ecosystems, but the underlying mechanisms of this high variability in these specific regions are not well known. Here we derive an ensemble of gross primary production (GPP) estimates using the average of three data-driven models and eleven process-based models. These models are weighted by their spatial representativeness of the satellite-based solar-induced chlorophyll fluorescence (SIF). We then use this weighted GPP ensemble to investigate the GPP variability for different aridity regimes. We show that semi-arid regions contribute to 57% of the detrended IAV of global GPP. Moreover, in regions with higher GPP variability, GPP fluctuations are mostly controlled by precipitation and strongly coupled with evapotranspiration (ET). This higher GPP IAV in semi-arid regions is co-limited by supply (precipitation)-induced ET variability and GPP-ET coupling strength. Our results demonstrate the importance of semi-arid regions to the global terrestrial carbon cycle and posit that there will be larger GPP and ET variations in the future with changes in precipitation patterns and dryland expansion.en_GB
dc.description.sponsorshipWe thank the Numerical Terradynamic Simulation Group at the University of Montana for providing the improved MOD17 GPP and MOD16 ET datasets. We thank the TRENDY-v4 modelers for contributing model outputs. We thank Dr. Kaiyu Guan for discussion on the early version of the manuscript. This study by Y.Z., X.X., X.W., and J.D. is partially supported by a research grant (Project No. 2013-69002) through the USDA National Institute for Food and Agriculture (NIFA)‘s Agriculture and Food Research Initiative (AFRI), Regional Approaches for Adaptation to and Mitigation of Climate Variability and Change, and a research grant (IIA-1301789) from the National Science Foundation EPSCoR. We thank Ms. Sarah Xiao at Yale University for the English editing of the manuscript.en_GB
dc.identifier.citationVol. 6, pp. 39748 -en_GB
dc.identifier.doi10.1038/srep39748
dc.identifier.othersrep39748
dc.identifier.urihttp://hdl.handle.net/10871/31964
dc.language.isoenen_GB
dc.publisherNature Publishing Groupen_GB
dc.relation.urlhttps://www.ncbi.nlm.nih.gov/pubmed/28008960en_GB
dc.rights© The Author(s) 2016. This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/en_GB
dc.subjectBiogeographyen_GB
dc.subjecthydrologyen_GB
dc.titlePrecipitation and carbon-water coupling jointly control the interannual variability of global land gross primary production.en_GB
dc.typeArticleen_GB
dc.date.available2018-03-08T10:50:19Z
dc.identifier.issn2045-2322
exeter.place-of-publicationEnglanden_GB
dc.descriptionThis is the author accepted manuscript. The final version is freely available from Nature Publishing Group via the DOI in this record.en_GB
dc.identifier.journalScientific Reportsen_GB


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