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  Estimating global cropland production from 1961 to 2010

Han, P., Zeng, N., Zhao, F., Lin, X. (2017): Estimating global cropland production from 1961 to 2010. - Earth System Dynamics, 8, 3, 875-887.
https://doi.org/10.5194/esd-8-875-2017

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 Creators:
Han, P.1, Author
Zeng, N.1, Author
Zhao, Fang2, Author              
Lin, X.1, Author
Affiliations:
1External Organizations, ou_persistent22              
2Potsdam Institute for Climate Impact Research, ou_persistent13              

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 Abstract: Global cropland net primary production (NPP) has tripled over the last 50 years, contributing 17–45 % to the increase in global atmospheric CO2 seasonal amplitude. Although many regional-scale comparisons have been made between statistical data and modeling results, long-term national comparisons across global croplands are scarce due to the lack of detailed spatiotemporal management data. Here, we conducted a simulation study of global cropland NPP from 1961 to 2010 using a process-based model called Vegetation–Global Atmosphere–Soil (VEGAS) and compared the results with Food and Agriculture Organization of the United Nations (FAO) statistical data on both continental and country scales. According to the FAO data, the global cropland NPP was 1.3, 1.8, 2.2, 2.6, 3.0, and 3.6 PgC yr−1 in the 1960s, 1970s, 1980s, 1990s, 2000s, and 2010s, respectively. The VEGAS model captured these major trends on global and continental scales. The NPP increased most notably in the US Midwest, western Europe, and the North China Plain and increased modestly in Africa and Oceania. However, significant biases remained in some regions such as Africa and Oceania, especially in temporal evolution. This finding is not surprising as VEGAS is the first global carbon cycle model with full parameterization representing the Green Revolution. To improve model performance for different major regions, we modified the default values of management intensity associated with the agricultural Green Revolution differences across various regions to better match the FAO statistical data at the continental level and for selected countries. Across all the selected countries, the updated results reduced the RMSE from 19.0 to 10.5 TgC yr−1 (∼  45 % decrease). The results suggest that these regional differences in model parameterization are due to differences in socioeconomic development. To better explain the past changes and predict the future trends, it is important to calibrate key parameters on regional scales and develop data sets for land management history.

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 Dates: 2017
 Publication Status: Finally published
 Pages: -
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 Rev. Type: Peer
 Identifiers: DOI: 10.5194/esd-8-875-2017
PIKDOMAIN: Climate Impacts & Vulnerabilities - Research Domain II
eDoc: 7975
Research topic keyword: Food & Agriculture
Regional keyword: Global
Organisational keyword: RD2 - Climate Resilience
Working Group: Data-Centric Modeling of Cross-Sectoral Impacts
 Degree: -

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Title: Earth System Dynamics
Source Genre: Journal, SCI, Scopus, p3, oa
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Pages: - Volume / Issue: 8 (3) Sequence Number: - Start / End Page: 875 - 887 Identifier: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/1402282