| Literature DB >> 34655627 |
Bo Cao1, Chengke Bai2, Meng Zhang3, Yumeng Lu3, Pufan Gao3, Jingjing Yang3, Ying Xue3, Guishuang Li2.
Abstract
Biofuel crops are one of the most promising regenerative alternatives of energy resources to fossil fuels. Revealing the current and future resource distribution patterns of biofuel crops will promote the development of green energies and the mitigation of greenhouse gas emissions. In this study, we first conducted a comprehensive and systematic analysis on the distribution patterns of main biofuel crops in China, using 22,352 occurrence records of 31 biofuel plant species and thirty-year environmental variables (1970-2000) with maximum entropy modeling, as well as nine-year field investigation of land use (2011-2019). The results showed that there were six different sub-regions for main biofuel crops in China, while Southwest China and South China were determined as the main concentrated potential regions. Specifically, the ranges of these regions were wider than those of current land use of main biofuel crops in China, indicating great potential for industrial cultivation. Moreover, the main biofuel crops had diverse changing patterns including increase, decrease and unstable under future climate change. Among them, biofuel crops with increase pattern (six crops) and decrease pattern (seven crops) should receive high attention for future resource utilization and production. Further field validation results confirmed that the above distribution patterns were mainly determined by increasing global temperature and precipitation. Collectively, these results will provide valuable references for the utilization and development of main biofuel resources under climate change in China, thereby shedding light on studies regarding the production of green biofuels globally.Entities:
Keywords: Biofuel crop; Climate change; Energy production; Global warming; Green energy; Maxent
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Year: 2021 PMID: 34655627 DOI: 10.1016/j.scitotenv.2021.150946
Source DB: PubMed Journal: Sci Total Environ ISSN: 0048-9697 Impact factor: 7.963