Impacts of climate change on cassava yield and lifecycle energy and greenhouse gas performance of cassava ethanol systems: An example from Guangxi Province, China.

Cassava-to-ethanol system Climate change impact Climate feedback Fossil energy substitution Life cycle assessment Random forest model

Journal

Journal of environmental management
ISSN: 1095-8630
Titre abrégé: J Environ Manage
Pays: England
ID NLM: 0401664

Informations de publication

Date de publication:
01 Dec 2023
Historique:
received: 08 06 2023
revised: 05 09 2023
accepted: 27 09 2023
medline: 1 11 2023
pubmed: 2 10 2023
entrez: 1 10 2023
Statut: ppublish

Résumé

Significant shock of climate change on crop yield will challenge the performance of bio-crop on substituting fossil energy to mitigate climate change. Taking cassava-to-ethanol system in Guangxi Province of South China as an example, we coupled a random forest (RF) model with 10 Global climate models (GCMs) outputs to predict the future cassava yields. Subsequently, the net energy value (NEV) and greenhouse gas (GHG) emissions of the cassava-to-ethanol system across varied topographies are assessed using a life cycle analysis. We demonstrate that the abrupt increases in temperatures are the primary contributors to declining yields. Notably, cassava yields in hilly regions decline more than those in plains and display greater variability among concentration pathway scenarios over time. Future NEV and GHG performance of cassava-to-ethanol will undergo significant decreases over time, especially within the high concentration pathway scenario (NEV decrease 28%, GHG increase 3.4% from 2006 to 2100). The performance reductions in hilly area are exacerbated by more harvest loss and labor and material inputs during the "field-to-wheel", negating its energy advantage over fossil fuels. Therefore, adopting a lower concentration pathway and favoring plantation in plains could maintain cassava-to-ethanol as a viable climate mitigation strategy. Our research also advances the methodological approach to climate change adaptation within the domain of life cycle assessment.

Identifiants

pubmed: 37778065
pii: S0301-4797(23)01950-3
doi: 10.1016/j.jenvman.2023.119162
pii:
doi:

Substances chimiques

Greenhouse Gases 0
Ethanol 3K9958V90M

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

119162

Informations de copyright

Copyright © 2023 Elsevier Ltd. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Laiyin Zhu (L)

School of Environment, Geography, and Sustainability, Western Michigan University, 3503 Wood Hall, 1903 W Michigan Ave, Kalamazoo, MI, 49008-5424, USA.

Hang Yi (H)

State Key Laboratory of Pollution Control & Resource Reuse, School of Environment, Nanjing University, Nanjing, 210023, PR China.

Hanshi Su (H)

State Key Laboratory of Pollution Control & Resource Reuse, School of Environment, Nanjing University, Nanjing, 210023, PR China.

Seth Guikema (S)

College of Engineering Industrial & Operations Engineering, University of Michigan, Ann Arbor, MI, USA.

Beibei Liu (B)

State Key Laboratory of Pollution Control & Resource Reuse, School of Environment, Nanjing University, Nanjing, 210023, PR China; The Johns Hopkins University, Nanjing University Center for Chinese and American Studies, Nanjing, 210093, PR China. Electronic address: lbeibei@nju.edu.cn.

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Classifications MeSH