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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Applied Energyarrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Applied Energy
Article . 2020 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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Land–water–energy nexus in agricultural management for greenhouse gas mitigation

Authors: Xing Fan; Wen Zhang; Weiwei Chen; Bin Chen;

Land–water–energy nexus in agricultural management for greenhouse gas mitigation

Abstract

Abstract Agriculture plays an important role in global climate change. The interaction and efficiency of use of land, water, and energy in agricultural activities are the principal factors affecting greenhouse gas (GHG) emissions and food production. However, comprehensive analysis exploring the mechanism of the land–water–energy system in agricultural production remains lacking. This study developed such a framework based on regional agricultural GHG emissions by combining top-down analysis that considered cross-sectoral interactions with bottom-up analysis that addressed the context-specific conditions of resources and technology. We employed the proposed framework to analyze the interaction of land–water–energy and factors influencing agricultural GHG emissions and to explore mitigation measures based on a case study of the Sanjiang Plain (China). Results showed cropland on the Sanjiang Plain produced 1.8 million tonnes of protein and released 10.9 million tonnes of CO2eq in 2015 using 3.0 million ha of arable land, 12.1 billion m3 of water, and 100.4 PJ of energy. Owing to their high input of resources and flooded cultivation, rice fields produced 29% of total crop protein but consumed 51% of total crop water use, 43% of total crop energy use, and emitted 54% of total crop GHG (CO2eq). Structural adjustment through conversion of half the paddy fields into dryland crops (e.g., wheat) could mitigate GHG emissions by 18.8% in 2020 compared with the baseline scenario. However, such change would be almost impossible given the Sanjiang Plain is one of China’s most important rice-producing areas. If integrated technology improvements were adopted, e.g., advanced crop–soil nutrition management, groundwater protection measures, water-saving irrigation technology, and low-carbon energy technology, GHG emissions could be reduced by 23.9% without sacrificing food production. This study used the nexus approach to analyze agricultural GHG emissions, providing a framework for sustainable agricultural management and a reference for understanding the land–water–energy nexus.

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
80
Top 1%
Top 10%
Top 1%