气候变化领域集成服务门户(CCPortal): Spatiotemporal patterns of terrestrial gross primary production: A review

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DOI	10.1002/2015RG000483
	Spatiotemporal patterns of terrestrial gross primary production: A review
	Anav, Alessandro; Friedlingstein, Pierre; Beer, Christian; Ciais, Philippe; Harper, Anna; Jones, Chris; Murray-Tortarolo, Guillermo; Papale, Dario; Parazoo, Nicholas C.; Peylin, Philippe; Piao, Shilong; Sitch, Stephen; Viovy, Nicolas; Wiltshire, Andy; Zhao, Maosheng
通讯作者	Anav, A (通讯作者)
发表日期	2015
ISSN	8755-1209
EISSN	1944-9208
起始页码	785
结束页码	818
卷号	53 期号:3
英文摘要	Great advances have been made in the last decade in quantifying and understanding the spatiotemporal patterns of terrestrial gross primary production (GPP) with ground, atmospheric, and space observations. However, although global GPP estimates exist, each data set relies upon assumptions and none of the available data are based only on measurements. Consequently, there is no consensus on the global total GPP and large uncertainties exist in its benchmarking. The objective of this review is to assess how the different available data sets predict the spatiotemporal patterns of GPP, identify the differences among data sets, and highlight the main advantages/disadvantages of each data set. We compare GPP estimates for the historical period (1990-2009) from two observation-based data sets (Model Tree Ensemble and Moderate Resolution Imaging Spectroradiometer) to coupled carbon-climate models and terrestrial carbon cycle models from the Fifth Climate Model Intercomparison Project and TRENDY projects and to a new hybrid data set (CARBONES). Results show a large range in the mean global GPP estimates. The different data sets broadly agree on GPP seasonal cycle in terms of phasing, while there is still discrepancy on the amplitude. For interannual variability (IAV) and trends, there is a clear separation between the observation-based data that show little IAV and trend, while the process-based models have large GPP variability and significant trends. These results suggest that there is an urgent need to improve observation-based data sets and develop carbon cycle modeling with processes that are currently treated either very simplistically to correctly estimate present GPP and better quantify the future uptake of carbon dioxide by the world's vegetation.
关键词	NET PRIMARY PRODUCTION EARTH SYSTEM MODEL ENVIRONMENT SIMULATOR JULES DROUGHT-INDUCED REDUCTION CARBON-DIOXIDE EXCHANGE RAIN-FOREST TREE CHLOROPHYLL FLUORESCENCE ECOSYSTEM EXCHANGE CLIMATE-CHANGE WATER-VAPOR
英文关键词	GPP; DGVMs; ESMs; satellite; MTE
语种	英语
WOS研究方向	Geochemistry & Geophysics
WOS类目	Geochemistry & Geophysics
WOS记录号	WOS:000363343200006
来源期刊	REVIEWS OF GEOPHYSICS
来源机构	中国科学院青藏高原研究所
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/258614
推荐引用方式 GB/T 7714	Anav, Alessandro,Friedlingstein, Pierre,Beer, Christian,et al. Spatiotemporal patterns of terrestrial gross primary production: A review[J]. 中国科学院青藏高原研究所,2015,53(3).
APA	Anav, Alessandro.,Friedlingstein, Pierre.,Beer, Christian.,Ciais, Philippe.,Harper, Anna.,...&Zhao, Maosheng.(2015).Spatiotemporal patterns of terrestrial gross primary production: A review.REVIEWS OF GEOPHYSICS,53(3).
MLA	Anav, Alessandro,et al."Spatiotemporal patterns of terrestrial gross primary production: A review".REVIEWS OF GEOPHYSICS 53.3(2015).