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      A global moderate resolution dataset of gross primary production of vegetation for 2000–2016

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          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          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.

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          A biochemical model of photosynthetic CO2 assimilation in leaves of C 3 species.

          G. D. Farquhar, S. von Caemmerer, J. A. Berry (1980)
          Various aspects of the biochemistry of photosynthetic carbon assimilation in C3 plants are integrated into a form compatible with studies of gas exchange in leaves. These aspects include the kinetic properties of ribulose bisphosphate carboxylase-oxygenase; the requirements of the photosynthetic carbon reduction and photorespiratory carbon oxidation cycles for reduced pyridine nucleotides; the dependence of electron transport on photon flux and the presence of a temperature dependent upper limit to electron transport. The measurements of gas exchange with which the model outputs may be compared include those of the temperature and partial pressure of CO2(p(CO2)) dependencies of quantum yield, the variation of compensation point with temperature and partial pressure of O2(p(O2)), the dependence of net CO2 assimilation rate on p(CO2) and irradiance, and the influence of p(CO2) and irradiance on the temperature dependence of assimilation rate.
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            Solar Radiation and Productivity in Tropical Ecosystems

            J. Monteith (1972)
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              Farming the planet: 2. Geographic distribution of crop areas, yields, physiological types, and net primary production in the year 2000

              Chad Monfreda, Navin Ramankutty, Jonathan Foley (2008)
              Article 0 comments Cited 502 times – based on 0 reviews     Review now
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                Author and article information

                Journal
                Journal ID (nlm-ta): Sci Data
                Journal ID (iso-abbrev): Sci Data
                Title: Scientific Data
                Publisher: Nature Publishing Group
                ISSN (Electronic): 2052-4463
                Publication date (Electronic): 24 October 2017
                Publication date Collection: 2017
                Volume: 4
                Electronic Location Identifier: 170165
                Affiliations
                [1 ]Center for Spatial Analysis, Department for Microbiology and Plant Biology, University of Oklahoma , Norman, OK 73019, USA
                [2 ]Ministry of Education Key Laboratory for Biodiversity Science and Ecological Engineering, Institute of Biodiversity Science, Fudan University , Shanghai 200433, China
                [3 ]State Key Laboratory of Hydroscience and Engineering, Department of Hydraulic Engineering, Tsinghua University , Beijing 100084, China
                [4 ]Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, CAS , Beijing 100101, China
                Author notes
                [a ] Y.Z. (email: yaozhang@ 123456ou.edu )
                [b ] X.X. (email: xiangming.xiao@ 123456ou.edu ).
                []

                Y.Z. and X.X. designed the study, Y.Z. and X.W. generate the data, G.Z. contributed to the LSWI algorithm. Y.Z., X.X. and S.Z. analyzed the data, Y.Z. wrote the paper. All authors reviewed and edited the manuscript.

                Author information
                http://orcid.org/0000-0002-7468-2409
                http://orcid.org/0000-0003-0956-7428
                http://orcid.org/0000-0001-7161-5959
                Article
                Publisher Item ID: sdata2017165
                DOI: 10.1038/sdata.2017.165
                PMC ID: 5667571
                PubMed ID: 29064464
                SO-VID: f5aad733-5ccc-48f2-9e72-30f1ac5de4a9
                Copyright © Copyright © 2017, The Author(s)
                License:

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ applies to the metadata files made available in this article.

                History
                Date received : 31 May 2017
                Date accepted : 22 September 2017
                Related
                Categories
                Subject: Data Descriptor

                Keywords: ecology,carbon cycle,climate change
                Data availability:
                Keywords: ecology, carbon cycle, climate change

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