Arid
DOI10.1111/gcbb.12116
Fuzzy GIS-based multi-criteria evaluation for US Agave production as a bioenergy feedstock
Lewis, Sarah M.1; Gross, Stephen2; Visel, Axel2,3; Kelly, Maggi1; Morrow, William4
通讯作者Kelly, Maggi
来源期刊GLOBAL CHANGE BIOLOGY BIOENERGY
ISSN1757-1693
EISSN1757-1707
出版年2015
卷号7期号:1页码:84-99
英文摘要

In the United States, renewable energy mandates calling for increased production of cellulosic biofuels will require a diversity of bioenergy feedstocks to meet growing demands. Within the suite of potential energy crops, plants within the genus Agave promise to be a productive feedstock in hot and arid regions. The potential distributions of Agave tequilana and Agave deserti in the United States were evaluated based on plant growth parameters identified in an extensive literature review. A geospatial suitability model rooted in fuzzy logic was developed that utilized a suite of biophysical criteria to optimize ideal geographic locations for this new crop, and several suitability scenarios were tested for each species. The results of this spatially explicit suitability model suggest that there is potential for Agave to be grown as an energy feedstock in the southwestern region of the United States - particularly in Arizona, California, and Texas - and a significant portion of these areas are proximate to existing transportation infrastructure. Both Agave species showed the highest state-level renewable energy benefit in Arizona, where agave plants have the potential to contribute 4.8-9.6% of the states’ ethanol consumption, and 2.5-4.9% of its electricity consumption, for A. deserti and A. tequilana, respectively. This analysis supports the feasibility of Agave as a complementary bioenergy feedstock that can be grown in areas too harsh for conventional energy feedstocks.


英文关键词Agave bioenergy biofuel fuzzy logic geographic information systems suitability mapping
类型Article
语种英语
国家USA
收录类别SCI-E
WOS记录号WOS:000346726500007
WOS关键词ENERGY ; SWITCHGRASS ; RESPONSES ; TEQUILANA
WOS类目Agronomy ; Biotechnology & Applied Microbiology ; Energy & Fuels
WOS研究方向Agriculture ; Biotechnology & Applied Microbiology ; Energy & Fuels
来源机构University of California, Berkeley
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/187600
作者单位1.Univ Calif Berkeley, Berkeley, CA 94720 USA;
2.US DOE, Joint Genome Inst, Walnut Creek, CA USA;
3.Univ Calif Berkeley, Lawrence Berkeley Natl Lab, Genom Div, Berkeley, CA 94720 USA;
4.Univ Calif Berkeley, Lawrence Berkeley Natl Lab, Berkeley, CA 94720 USA
推荐引用方式
GB/T 7714
Lewis, Sarah M.,Gross, Stephen,Visel, Axel,et al. Fuzzy GIS-based multi-criteria evaluation for US Agave production as a bioenergy feedstock[J]. University of California, Berkeley,2015,7(1):84-99.
APA Lewis, Sarah M.,Gross, Stephen,Visel, Axel,Kelly, Maggi,&Morrow, William.(2015).Fuzzy GIS-based multi-criteria evaluation for US Agave production as a bioenergy feedstock.GLOBAL CHANGE BIOLOGY BIOENERGY,7(1),84-99.
MLA Lewis, Sarah M.,et al."Fuzzy GIS-based multi-criteria evaluation for US Agave production as a bioenergy feedstock".GLOBAL CHANGE BIOLOGY BIOENERGY 7.1(2015):84-99.
条目包含的文件
条目无相关文件。
个性服务
推荐该条目
保存到收藏夹
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Lewis, Sarah M.]的文章
[Gross, Stephen]的文章
[Visel, Axel]的文章
百度学术
百度学术中相似的文章
[Lewis, Sarah M.]的文章
[Gross, Stephen]的文章
[Visel, Axel]的文章
必应学术
必应学术中相似的文章
[Lewis, Sarah M.]的文章
[Gross, Stephen]的文章
[Visel, Axel]的文章
相关权益政策
暂无数据
收藏/分享

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。