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Environmental footprints of soybean production in China

As a significant protein source for humans and animals, soybean (Glycine max) has experienced a fast growth with the rapid development of population and economy. Despite broad interest in energy consumption and CO(2) emissions generated by soybean production, there are few impact-oriented water foot...

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Autores principales: Zhang, Qian, Hong, Jinglan, Zhang, Tianzuo, Tian, Xu, Geng, Yong, Chen, Wei, Zhai, Yijie, Liu, Wenjing, Shen, Xiaoxu, Bai, Yueyang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Netherlands 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9128774/
https://www.ncbi.nlm.nih.gov/pubmed/35645607
http://dx.doi.org/10.1007/s10668-022-02424-1
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author Zhang, Qian
Hong, Jinglan
Zhang, Tianzuo
Tian, Xu
Geng, Yong
Chen, Wei
Zhai, Yijie
Liu, Wenjing
Shen, Xiaoxu
Bai, Yueyang
author_facet Zhang, Qian
Hong, Jinglan
Zhang, Tianzuo
Tian, Xu
Geng, Yong
Chen, Wei
Zhai, Yijie
Liu, Wenjing
Shen, Xiaoxu
Bai, Yueyang
author_sort Zhang, Qian
collection PubMed
description As a significant protein source for humans and animals, soybean (Glycine max) has experienced a fast growth with the rapid development of population and economy. Despite broad interest in energy consumption and CO(2) emissions generated by soybean production, there are few impact-oriented water footprint assessments of soybean production. This study evaluates the fossil energy, carbon, and water footprints of China’s soybean production so that key environmental impacts can be identified. To provide reliable results for decision-making, uncertainty analysis is conducted based on the Monte Carlo model. Results show that the impact on climate change, ecosystem quality, human health, and resources is 3.33 × 10(3) kg CO(2) eq (GSD(2) = 1.87), 6.18 × 10(−5) Species·yr (GSD(2) = 1.81), 3.26 × 10(−3) Disability-adjusted Life Years (GSD(2) = 1.81), and 81.51 $ (GSD(2) = 2.28), respectively. Freshwater ecotoxicity is the dominant contributor (77.69%) to the ecosystem quality category, while climate change (85.22%) is the dominant contributor to the human health category. Key factors analysis results show that diammonium phosphate and diesel, and on-site emissions, are the major contributors to the overall environmental burden of soybean production. Several policy recommendations are proposed, focusing on trade structure optimization, efficient resource use, and technological improvements. Such policy recommendations provide valuable insights to those decision-makers so that they can prepare appropriate mitigation policies.
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spelling pubmed-91287742022-05-25 Environmental footprints of soybean production in China Zhang, Qian Hong, Jinglan Zhang, Tianzuo Tian, Xu Geng, Yong Chen, Wei Zhai, Yijie Liu, Wenjing Shen, Xiaoxu Bai, Yueyang Environ Dev Sustain Article As a significant protein source for humans and animals, soybean (Glycine max) has experienced a fast growth with the rapid development of population and economy. Despite broad interest in energy consumption and CO(2) emissions generated by soybean production, there are few impact-oriented water footprint assessments of soybean production. This study evaluates the fossil energy, carbon, and water footprints of China’s soybean production so that key environmental impacts can be identified. To provide reliable results for decision-making, uncertainty analysis is conducted based on the Monte Carlo model. Results show that the impact on climate change, ecosystem quality, human health, and resources is 3.33 × 10(3) kg CO(2) eq (GSD(2) = 1.87), 6.18 × 10(−5) Species·yr (GSD(2) = 1.81), 3.26 × 10(−3) Disability-adjusted Life Years (GSD(2) = 1.81), and 81.51 $ (GSD(2) = 2.28), respectively. Freshwater ecotoxicity is the dominant contributor (77.69%) to the ecosystem quality category, while climate change (85.22%) is the dominant contributor to the human health category. Key factors analysis results show that diammonium phosphate and diesel, and on-site emissions, are the major contributors to the overall environmental burden of soybean production. Several policy recommendations are proposed, focusing on trade structure optimization, efficient resource use, and technological improvements. Such policy recommendations provide valuable insights to those decision-makers so that they can prepare appropriate mitigation policies. Springer Netherlands 2022-05-24 /pmc/articles/PMC9128774/ /pubmed/35645607 http://dx.doi.org/10.1007/s10668-022-02424-1 Text en © The Author(s), under exclusive licence to Springer Nature B.V. 2022 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Article
Zhang, Qian
Hong, Jinglan
Zhang, Tianzuo
Tian, Xu
Geng, Yong
Chen, Wei
Zhai, Yijie
Liu, Wenjing
Shen, Xiaoxu
Bai, Yueyang
Environmental footprints of soybean production in China
title Environmental footprints of soybean production in China
title_full Environmental footprints of soybean production in China
title_fullStr Environmental footprints of soybean production in China
title_full_unstemmed Environmental footprints of soybean production in China
title_short Environmental footprints of soybean production in China
title_sort environmental footprints of soybean production in china
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9128774/
https://www.ncbi.nlm.nih.gov/pubmed/35645607
http://dx.doi.org/10.1007/s10668-022-02424-1
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