Potential marginal land resources of cassava worldwide: A data-driven analysis
文献类型：期刊论文
| 作者 | Jiang, Dong1,2,3 ; Wang, Qian1,2; Ding, Fangyu1,2; Fu, Jingying1,2; Hao, Mengmeng1,2
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| 刊名 | RENEWABLE & SUSTAINABLE ENERGY REVIEWS
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| 出版日期 | 2019-04-01 |
| 卷号 | 104页码:167-173 |
| 关键词 | Potential marginal lands Cassava BRT Relative contribution Baseline |
| ISSN号 | 1364-0321 |
| DOI | 10.1016/j.rser.2019.01.024 |
| 通讯作者 | Ding, Fangyu(dingfy.17b@igsnrr.ac.cn) |
| 英文摘要 | Quantitatively evaluating the potential marginal lands for cassava (Manihot esculenta Crantz) in previous studies has mostly been conducted at regional and national scales. However, at present, there is no reliable cassava marginal land assessment data on the global scale. By explicitly incorporating known samples with multicovariates, a boosted regression tree (BRT) modeling procedure was used to generate the first global potential marginal land distribution map of cassava with a 5 x 5 km spatial resolution grid. The total amount of potential marginal land resources suitable for cassava is approximately 1696.28 million hectares, mainly distributed across Central Africa, South America, Southeast Asia and North America. The estimated map reveals that the ecological zones suitable for cassava lie between the 30 degrees parallels and are even distributed at higher latitudes. Validation statistics indicate that the fitted BRT models obtain high performance with a tenfold cross-validation area under the curve (AUC) value of 0.962 [95% confidence interval (CI) 0.957-0.967]. The investigated patterns show that the relative contribution of land cover is 46.47% [95% CI 43.46-49.49%], followed by annual cumulative precipitation (35.96% [95% CI 33.29-38.62%]), minimum annual temperature (10.23% [95% CI 9.61-10.85%]), mean solar radiation (3.13% [95% CI 2.77-3.49%]) and maximum annual temperature (2.31% [95% CI 2.15-2.47%]). The results provide a baseline for understanding the potential distribution of marginal land resources viable for cassava worldwide. |
| WOS关键词 | FUEL ETHANOL ; PLANT-GROWTH ; ENERGY ; BIOMASS ; MODEL |
| 资助项目 | National Natural Science Foundation of China[41571509] ; Ministry of Science and Technology of China[2016YFC1201300] |
| WOS研究方向 | Science & Technology - Other Topics ; Energy & Fuels |
| 语种 | 英语 |
| WOS记录号 | WOS:000458294500013 |
| 出版者 | PERGAMON-ELSEVIER SCIENCE LTD |
| 资助机构 | National Natural Science Foundation of China ; Ministry of Science and Technology of China |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/49371]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Ding, Fangyu |
| 作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, 11A Datun Rd, Beijing 100101, Peoples R China 2.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China 3.Minist Land & Resources, Key Lab Carrying Capac Assessment Resource & Envi, Beijing 100101, Peoples R China |
| 推荐引用方式 GB/T 7714 | Jiang, Dong,Wang, Qian,Ding, Fangyu,et al. Potential marginal land resources of cassava worldwide: A data-driven analysis[J]. RENEWABLE & SUSTAINABLE ENERGY REVIEWS,2019,104:167-173. |
| APA | Jiang, Dong,Wang, Qian,Ding, Fangyu,Fu, Jingying,&Hao, Mengmeng.(2019).Potential marginal land resources of cassava worldwide: A data-driven analysis.RENEWABLE & SUSTAINABLE ENERGY REVIEWS,104,167-173. |
| MLA | Jiang, Dong,et al."Potential marginal land resources of cassava worldwide: A data-driven analysis".RENEWABLE & SUSTAINABLE ENERGY REVIEWS 104(2019):167-173. |
入库方式： OAI收割
来源：地理科学与资源研究所
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