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Data Descriptor: A global moderate resolution dataset of gross primary production of vegetation for 2000-2016
文献类型：期刊论文
| 作者 | Zhang, Yao1; Xiao, Xiangming1,2; Wu, Xiaocui1; Zhou, Sha3; Zhang, Geli1; Qin, Yuanwei1; Dong, Jinwei4
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| 刊名 | SCIENTIFIC DATA
 |
| 出版日期 | 2017-10-24 |
| 卷号 | 4页码:13 |
| ISSN号 | 2052-4463 |
| DOI | 10.1038/sdata.2017.165 |
| 通讯作者 | Zhang, Yao(yaozhang@ou.edu) ; Xiao, Xiangming(xiangming.xiao@ou.edu) |
| 英文摘要 | Accurate estimation of the gross primary production (GPP) of terrestrial vegetation is vital for understanding the global carbon cycle and predicting future climate change. Multiple GPP products are currently available based on different methods, but their performances vary substantially when validated against GPP estimates from eddy covariance data. This paper provides a new GPP dataset at moderate spatial (500 m) and temporal (8-day) resolutions over the entire globe for 2000-2016. This GPP dataset is based on an improved light use efficiency theory and is driven by satellite data from MODIS and climate data from NCEP Reanalysis II. It also employs a state-of-the-art vegetation index (VI) gap-filling and smoothing algorithm and a separate treatment for C3/C4 photosynthesis pathways. All these improvements aim to solve several critical problems existing in current GPP products. With a satisfactory performance when validated against in situ GPP estimates, this dataset offers an alternative GPP estimate for regional to global carbon cycle studies. |
| WOS关键词 | REMOTE-SENSING DATA ; LAND CO2 SINK ; PHOTOSYNTHETIC CAPACITY ; STOMATAL CONDUCTANCE ; TERRESTRIAL GROSS ; GREENING SAHEL ; CARBON-DIOXIDE ; USE EFFICIENCY ; NORTH-AMERICA ; DOMINANT ROLE |
| 资助项目 | CDIAC ; OzFlux office ; ChinaFlux office ; AsiaFlux office ; USDA National Institute for Food and Agriculture (NIFA)[2013-69002-23146] ; USDA National Institute for Food and Agriculture (NIFA)[2016-68002-24967] ; National Science Foundation EPSCoR[IIA-1301789] ; 'Geostationary Carbon Cycle Observatory (GeoCarb) Mission' from NASA[80LARC17C0001] |
| WOS研究方向 | Science & Technology - Other Topics |
| 语种 | 英语 |
| WOS记录号 | WOS:000413533600001 |
| 出版者 | NATURE PUBLISHING GROUP |
| 资助机构 | CDIAC ; OzFlux office ; ChinaFlux office ; AsiaFlux office ; USDA National Institute for Food and Agriculture (NIFA) ; National Science Foundation EPSCoR ; 'Geostationary Carbon Cycle Observatory (GeoCarb) Mission' from NASA |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/62520]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Zhang, Yao; Xiao, Xiangming |
| 作者单位 | 1.Univ Oklahoma, Dept Microbiol & Plant Biol, Ctr Spatial Anal, Norman, OK 73019 USA 2.Fudan Univ, Inst Biodivers Sci, Minist Educ, Key Lab Biodivers Sci & Ecol Engn, Shanghai 200433, Peoples R China 3.Tsinghua Univ, Dept Hydraul Engn, State Key Lab Hydrosci & Engn, Beijing 100084, Peoples R China 4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China |
| 推荐引用方式 GB/T 7714 | Zhang, Yao,Xiao, Xiangming,Wu, Xiaocui,et al. Data Descriptor: A global moderate resolution dataset of gross primary production of vegetation for 2000-2016[J]. SCIENTIFIC DATA,2017,4:13. |
| APA | Zhang, Yao.,Xiao, Xiangming.,Wu, Xiaocui.,Zhou, Sha.,Zhang, Geli.,...&Dong, Jinwei.(2017).Data Descriptor: A global moderate resolution dataset of gross primary production of vegetation for 2000-2016.SCIENTIFIC DATA,4,13. |
| MLA | Zhang, Yao,et al."Data Descriptor: A global moderate resolution dataset of gross primary production of vegetation for 2000-2016".SCIENTIFIC DATA 4(2017):13. |
入库方式： OAI收割
来源：地理科学与资源研究所
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