Potential marginal land resources of cassava worldwide: A data-driven analysis
Jiang, Dong1,2,3; Wang, Qian1,2; Ding, Fangyu1,2; Fu, Jingying1,2; Hao, Mengmeng1,2
Corresponding AuthorDing, Fangyu(dingfy.17b@igsnrr.ac.cn)
AbstractQuantitatively 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.
KeywordPotential marginal lands Cassava BRT Relative contribution Baseline
Indexed BySCI
Funding ProjectNational Natural Science Foundation of China[41571509] ; Ministry of Science and Technology of China[2016YFC1201300]
Funding OrganizationNational Natural Science Foundation of China ; Ministry of Science and Technology of China
WOS Research AreaScience & Technology - Other Topics ; Energy & Fuels
WOS SubjectGreen & Sustainable Science & Technology ; Energy & Fuels
WOS IDWOS:000458294500013
Citation statistics
Cited Times:1[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Corresponding AuthorDing, Fangyu
Affiliation1.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
Recommended Citation
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.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Jiang, Dong]'s Articles
[Wang, Qian]'s Articles
[Ding, Fangyu]'s Articles
Baidu academic
Similar articles in Baidu academic
[Jiang, Dong]'s Articles
[Wang, Qian]'s Articles
[Ding, Fangyu]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Jiang, Dong]'s Articles
[Wang, Qian]'s Articles
[Ding, Fangyu]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.