2023
DOI: 10.1016/j.isci.2023.106798
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Coupling of crop and livestock production can reduce the agricultural GHG emission from smallholder farms

Xiangbo Xu,
Yan Xu,
Jing Li
et al.
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Cited by 13 publications
(10 citation statements)
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“…Notable regions exhibiting this disparity include the Midwest of the United States, southern Canada, eastern Spain, northwestern France, northwestern India, Borneo in Indonesia, northeastern China, southern Australia (figure 3). The recoupling of crop and livestock production can enhance the reuse of manure, reduce the need for synthetic nitrogen fertilizers, and facilitate GHG emission abatement [65,66]. Overcoming this mismatch requires incentives and subsidies to mobilize nitrogen from livestock systems to crop systems through the anaerobic digestion process.…”
Section: Discussionmentioning
confidence: 99%
“…Notable regions exhibiting this disparity include the Midwest of the United States, southern Canada, eastern Spain, northwestern France, northwestern India, Borneo in Indonesia, northeastern China, southern Australia (figure 3). The recoupling of crop and livestock production can enhance the reuse of manure, reduce the need for synthetic nitrogen fertilizers, and facilitate GHG emission abatement [65,66]. Overcoming this mismatch requires incentives and subsidies to mobilize nitrogen from livestock systems to crop systems through the anaerobic digestion process.…”
Section: Discussionmentioning
confidence: 99%
“…The farm covers a total area of 675 ha, which is used for growing rainfed crops (660 ha) and to keep animals confined (i.e., they stay in the dairy farm or do not graze at any time of the year). The main characteristics of the studied farm, which is categorized as fully coupled crop-livestock production [23], are summarized in Table 1. The farm is representative of mixed farms in Romania, having an average size, both in terms of the number of animals and cultivated area [3].…”
Section: Case Studymentioning
confidence: 99%
“…For the impact assessment, midpoint impact categories are widely used and recommended in LCAs applied to agricultural production [18,23]. Since the analysis addressed both the crop and the livestock systems, we focused on impact categories relevant to both systems and directly correlated this with the estimated emissions.…”
Section: Life Cycle Impact Assessmentmentioning
confidence: 99%
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“…Identifying the sources of uncertainty in modeling greenhouse gas emissions and analyzing their sensitivity can improve accuracy in modeling emissions and support the development of effective mitigation strategies for sustainable livestock production [1,6,7]. Different frameworks, methods, and approaches such as Monte Carlo simulations, contribution to variance analysis, global sensitivity methods, traditional matched filter methods, optimal estimation (OE) methods, integrated assessment models, model intercomparison studies, scenario analysis, and expert judgment have been used in analyzing the cause or source of uncertainties to perform uncertainty analysis and quantification and sensitivity analysis in greenhouse gas emissions from ruminants [5,[8][9][10][11].…”
Section: Introduction 1uncertainty Quantification and Sensitivity Ana...mentioning
confidence: 99%