Modelling future agricultural mechanisation of major crops in China: an assessment of energy demand, land use and emissions
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Author(s)
García Kerdan, Iván
Giarola, Sara
Skinner, Ellis
Tuleu, Marin
Hawkes, Adam
Type
Journal Article
Abstract
Agricultural direct energy use is responsible for about 1–2% of global emissions and is the major emitting sector for methane (2.9 GtCO2eq y−1) and nitrous oxide (2.3 GtCO2eq y−1). In the last century, farm mechanisation has brought higher productivity levels and lower land demands at the expense of an increase in fossil energy and agrochemicals use. The expected increase in certain food and bioenergy crops and the uncertain mitigation options available for non-CO2 emissions make of vital importance the assessment of the use of energy and the related emissions attributable to this sector. The aim of this paper is to present a simulation framework able to forecast energy demand, technological diffusion, required investment and land use change of specific agricultural crops. MUSE-Ag & LU, a novel energy systems-oriented agricultural and land use model, has been used for this purpose. As case study, four main crops (maize, soybean, wheat and rice) have been modelled in mainland China. Besides conventional direct energy use, the model considers inputs such as fertiliser and labour demand. Outputs suggest that the modernisation of agricultural processes in China could have the capacity to reduce by 2050 on-farm emissions intensity from 0.024 to 0.016 GtCO2eq PJcrop−1 (−35.6%), requiring a necessary total investment of approximately 319.4 billion 2017$US.
Date Issued
2020-12-16
Date Acceptance
2020-12-11
Citation
Energies, 2020, 13 (24), pp.6636-6636
ISSN
1996-1073
Publisher
MDPI AG
Start Page
6636
End Page
6636
Journal / Book Title
Energies
Volume
13
Issue
24
Copyright Statement
© 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access
article distributed under the terms and conditions of the Creative Commons Attribution
(CC BY) license (http://creativecommons.org/licenses/by/4.0/).
article distributed under the terms and conditions of the Creative Commons Attribution
(CC BY) license (http://creativecommons.org/licenses/by/4.0/).
License URL
Sponsor
Natural Environment Research Council (NERC)
Identifier
https://www.mdpi.com/1996-1073/13/24/6636
Grant Number
NE/N018656/1
Subjects
Science & Technology
Technology
Energy & Fuels
energy
agriculture
modelling
mechanisation
land use
China
GREENHOUSE-GAS EMISSIONS
CLIMATE-CHANGE
CO2 EMISSIONS
FOOD DEMAND
IMPACT
SYSTEMS
CARBON
NEXUS
02 Physical Sciences
09 Engineering
Publication Status
Published
Date Publish Online
2020-12-16