Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1111/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
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ISSN | 1757-1693 |
EISSN | 1757-1707 |
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. |
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