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Detection of Positive Gross Primary Production Extremes in Terrestrial Ecosystems of China During 1982-2015 and Analysis of Climate Contribution
Wang, Miaomiao1,2; Wang, Shaoqiang1,2; Wang, Junbang1; Yan, Hao3,4; Mickler, Robert A.5; Shi, Hao6; He, Honglin1; Huang, Mei1; Zhou, Lei7
2018-09-01
Source PublicationJOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES
ISSN2169-8953
Volume123Issue:9Pages:2807-2823
Corresponding AuthorWang, Shaoqiang(sqwang@igsnrr.ac.cn)
AbstractGross primary productivity (GPP) quantifies the photosynthetic uptake of carbon by terrestrial ecosystems. High-temperature extremes and associated droughts significantly reduce terrestrial ecosystem carbon uptake, but there is uncertainty as to whether climatic extremes can be beneficial to ecosystem carbon uptake. In this study, we used three ecological models: the Boreal Ecosystem Productivity Simulator, the Terrestrial Ecosystem Carbon flux model, and the Global Production Efficiency Model coupled with the Carbon Exchange between Vegetation, Soil, and the Atmosphere model, to simulate China's terrestrial ecosystem GPP during the study period of 1982-2015. Positive GPP extremes were identified on yearly scales and analyzed for their temperature, precipitation, and solar radiation attributions. We found that the 3years of positive GPP extremes occurred in 1990, 1998, and 2013, with the detrended GPP anomalies of 0.4PgC/year, 0.2PgC/year, and 0.3PgC/year, respectively. Maximum GPP years were associated with an increased carbon uptake in response to increasing temperature and solar radiation under adequate precipitation for plant growth. China's subtropical-tropical monsoonal region, a region dominated by managed forests and agricultural lands, contributed the largest in GPP extremes and accounted for 46%, 50%, and 46% of the total detrended GPP anomalies in 1990, 1998, and 2013, respectively. Positive GPP extremes were associated with increasing temperature and solar radiation, indicating favorable positive climate extremes would be beneficial to carbon uptake in China's terrestrial ecosystem. This study provides a method to assess positive GPP extremes in response to global climate change.
Keywordgross primary productivity positive carbon extreme climate extreme ecological model China's terrestrial ecosystem
DOI10.1029/2018JG004489
WOS KeywordNET PRIMARY PRODUCTIVITY ; PHOTOSYNTHETICALLY ACTIVE RADIATION ; LEAF-AREA INDEX ; CARBON-DIOXIDE UPTAKE ; WATER-USE EFFICIENCY ; FOREST ECOSYSTEMS ; VEGETATION INDEX ; SPATIOTEMPORAL VARIATION ; INTERANNUAL VARIABILITY ; SEMIARID GRASSLAND
Indexed BySCI
Language英语
Funding ProjectNational Key R&D Program of China[2017YFC0503803] ; National Key R&D Program of China[2016YFA0600202] ; National Natural Science Foundation of China[41571192]
Funding OrganizationNational Key R&D Program of China ; National Natural Science Foundation of China
WOS Research AreaEnvironmental Sciences & Ecology ; Geology
WOS SubjectEnvironmental Sciences ; Geosciences, Multidisciplinary
WOS IDWOS:000447644800011
PublisherAMER GEOPHYSICAL UNION
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Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/52571
Collection中国科学院地理科学与资源研究所
Corresponding AuthorWang, Shaoqiang
Affiliation1.Chinese Acad Sci, Key Lab Ecosyst Network Observat & Modeling, Inst Geog Sci & Nat Resources Res, Beijing, Peoples R China
2.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing, Peoples R China
3.Natl Meteorol Ctr, Beijing, Peoples R China
4.Meteorol Adm, Beijing, Peoples R China
5.North Carolina State Univ, Dept Forestry & Environm Resources, Raleigh, NC USA
6.Northwest A&F Univ, State Key Lab Soil Eros & Dryland Farming Loess P, Yangling, Shaanxi, Peoples R China
7.Zhejiang Normal Univ, Coll Geog & Environm Sci, Jinhua, Peoples R China
Recommended Citation
GB/T 7714
Wang, Miaomiao,Wang, Shaoqiang,Wang, Junbang,et al. Detection of Positive Gross Primary Production Extremes in Terrestrial Ecosystems of China During 1982-2015 and Analysis of Climate Contribution[J]. JOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES,2018,123(9):2807-2823.
APA Wang, Miaomiao.,Wang, Shaoqiang.,Wang, Junbang.,Yan, Hao.,Mickler, Robert A..,...&Zhou, Lei.(2018).Detection of Positive Gross Primary Production Extremes in Terrestrial Ecosystems of China During 1982-2015 and Analysis of Climate Contribution.JOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES,123(9),2807-2823.
MLA Wang, Miaomiao,et al."Detection of Positive Gross Primary Production Extremes in Terrestrial Ecosystems of China During 1982-2015 and Analysis of Climate Contribution".JOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES 123.9(2018):2807-2823.
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