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dc.contributor.authorWang, J.
dc.contributor.authorDong, J.
dc.contributor.authorYi, Y.
dc.contributor.authorLu, G.
dc.contributor.authorOyler, J.
dc.contributor.authorSmith, W. K.
dc.contributor.authorZhao, M.
dc.contributor.authorLiu, J.
dc.contributor.authorRunning, S.
dc.date.accessioned2017-04-12T00:07:46Z
dc.date.available2017-04-12T00:07:46Z
dc.date.issued2017-01
dc.identifier.citationDecreasing net primary production due to drought and slight decreases in solar radiation in China from 2000 to 2012 2017, 122 (1):261 Journal of Geophysical Research: Biogeosciencesen
dc.identifier.issn21698953
dc.identifier.doi10.1002/2016JG003417
dc.identifier.urihttp://hdl.handle.net/10150/623106
dc.description.abstractTerrestrial ecosystems have continued to provide the critical service of slowing the atmospheric CO2 growth rate. Terrestrial net primary productivity (NPP) is thought to be a major contributing factor to this trend. Yet our ability to estimate NPP at the regional scale remains limited due to large uncertainties in the response of NPP to multiple interacting climate factors and uncertainties in the driver data sets needed to estimate NPP. In this study, we introduced an improved NPP algorithm that used local driver data sets and parameters in China. We found that bias decreased by 30% for gross primary production (GPP) and 17% for NPP compared with the widely used global GPP and NPP products, respectively. From 2000 to 2012, a pixel-level analysis of our improved NPP for the region of China showed an overall decreasing NPP trend of 4.65TgCa(-1). Reductions in NPP were largest for the southern forests of China (-5.38TgCa(-1)), whereas minor increases in NPP were found for North China (0.65TgCa(-1)). Surprisingly, reductions in NPP were largely due to decreases in solar radiation (82%), rather than the more commonly expected effects of drought (18%). This was because for southern China, the interannual variability of NPP was more sensitive to solar radiation (R-2 in 0.29-0.59) relative to precipitation (R-2<0.13). These findings update our previous knowledge of carbon uptake responses to climate change in terrestrial ecosystems of China and highlight the importance of shortwave radiation in driving vegetation productivity for the region, especially for tropical forests.
dc.description.sponsorshipNational Natural Science Foundation of China [31270520]; Key Project in the National Science and Technology Pillar program of China [2013BAC03B00]; U.S. National Science Foundation (NSF) EPSCoR program [NSF-IIA-1301789]; NASA Earth Observing system MODIS grant [NNX08AG87A]en
dc.language.isoenen
dc.publisherAMER GEOPHYSICAL UNIONen
dc.relation.urlhttp://doi.wiley.com/10.1002/2016JG003417en
dc.rights© 2017. American Geophysical Union. All Rights Reserved.en
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/
dc.subjectnet primary productionen
dc.subjectdroughten
dc.subjectsolar radiationen
dc.subjectChinaen
dc.titleDecreasing net primary production due to drought and slight decreases in solar radiation in China from 2000 to 2012en
dc.typeArticleen
dc.contributor.departmentUniv Arizona, Sch Nat Resources & Environmen
dc.identifier.journalJournal of Geophysical Research: Biogeosciencesen
dc.description.note6 month embargo; First published: 30 January 2017en
dc.description.collectioninformationThis item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.en
dc.eprint.versionFinal published versionen
dc.contributor.institutionKey Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research; Chinese Academy of Sciences; Beijing China
dc.contributor.institutionKey Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research; Chinese Academy of Sciences; Beijing China
dc.contributor.institutionNumerical Terradynamic Simulation Group, College of Forestry and Conservation; University of Montana; Missoula Montana USA
dc.contributor.institutionDepartment of Grassland Science, Agriculture and Animal Husbandry College; Qinghai University; Xining China
dc.contributor.institutionNumerical Terradynamic Simulation Group, College of Forestry and Conservation; University of Montana; Missoula Montana USA
dc.contributor.institutionSchool of Natural Resources and the Environment; University of Arizona; Tucson Arizona USA
dc.contributor.institutionNumerical Terradynamic Simulation Group, College of Forestry and Conservation; University of Montana; Missoula Montana USA
dc.contributor.institutionKey Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research; Chinese Academy of Sciences; Beijing China
dc.contributor.institutionNumerical Terradynamic Simulation Group, College of Forestry and Conservation; University of Montana; Missoula Montana USA
refterms.dateFOA2017-07-31T00:00:00Z
html.description.abstractTerrestrial ecosystems have continued to provide the critical service of slowing the atmospheric CO2 growth rate. Terrestrial net primary productivity (NPP) is thought to be a major contributing factor to this trend. Yet our ability to estimate NPP at the regional scale remains limited due to large uncertainties in the response of NPP to multiple interacting climate factors and uncertainties in the driver data sets needed to estimate NPP. In this study, we introduced an improved NPP algorithm that used local driver data sets and parameters in China. We found that bias decreased by 30% for gross primary production (GPP) and 17% for NPP compared with the widely used global GPP and NPP products, respectively. From 2000 to 2012, a pixel-level analysis of our improved NPP for the region of China showed an overall decreasing NPP trend of 4.65TgCa(-1). Reductions in NPP were largest for the southern forests of China (-5.38TgCa(-1)), whereas minor increases in NPP were found for North China (0.65TgCa(-1)). Surprisingly, reductions in NPP were largely due to decreases in solar radiation (82%), rather than the more commonly expected effects of drought (18%). This was because for southern China, the interannual variability of NPP was more sensitive to solar radiation (R-2 in 0.29-0.59) relative to precipitation (R-2<0.13). These findings update our previous knowledge of carbon uptake responses to climate change in terrestrial ecosystems of China and highlight the importance of shortwave radiation in driving vegetation productivity for the region, especially for tropical forests.


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