干旱区生态环境知识资源中心(Arid): Mapping land suitability for informal, small-scale irrigation development using spatial modelling and machine learning in the Upper East Region, Ghana

Arid

DOI	10.1016/j.scitotenv.2021.149959
	Mapping land suitability for informal, small-scale irrigation development using spatial modelling and machine learning in the Upper East Region, Ghana
	Akpoti, Komlavi; Higginbottom, Thomas P.; Foster, Timothy; Adhikari, Roshan; Zwart, Sander J.
通讯作者	Akpoti, K (corresponding author), Univ Energy & Nat Resources UENR, Reg Ctr Energy & Environm Sustainabil RCEES, Sunyani, Ghana.
来源期刊	SCIENCE OF THE TOTAL ENVIRONMENT
ISSN	0048-9697
EISSN	1879-1026
出版年	2022
卷号	803
英文摘要	Small-scale irrigation has gained momentum in recent years as one of the development priorities in Sub-Saharan Africa. However, farmer-led irrigation is often informal with little support from extension services and a paucity of data on land suitability for irrigation. To map the spatial explicit suitability for dry season small-scale irrigation, we developed a method using an ensemble of boosted regression trees, random forest, and maximum entropy machine learning models for the Upper East Region of Ghana. Both biophysical predictors including surface and groundwater availability, climate, topography and soil properties, and socio-economic predictors which represent demography and infrastructure development such as accessibility to cities and proximity to roads were considered. We assessed that 179,584 +/- 49,853 ha is suitable for dry-season small-scale irrigation development when only biophysical variables are considered, and 158,470 +/- 27,222 ha when socio-economic variables are included alongside the biophysical predictors, representing 77-89% of the current rainfed-croplands. Travel time to cities, accessibility to small reservoirs, exchangeable sodium percentage, surface runoff that can be potentially stored in reservoirs, population density, proximity to roads, and elevation percentile were the top predictors of small-scale irrigation suitability. These results suggested that the availability of water alone is not a sufficient indicator for area suitability for small-scale irrigation. This calls for strategic road infrastructure development and an improvement in the support to farmers for market accessibility. The suitability for small-scale irrigation should be put in the local context of market availability, demographic indicators, and infrastructure development. (c) 2021 Elsevier B.V. All rights reserved.
英文关键词	Food security Small-scale farmers Farmer led-irrigation Semi-arid region Land suitability Ecological niche modelling
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000709082400012
WOS关键词	SUB-SAHARAN AFRICA ; FARMER-LED IRRIGATION ; CLIMATE-CHANGE ; SPECIES DISTRIBUTIONS ; SMALLHOLDER IRRIGATION ; SEMIARID ENVIRONMENT ; SAMPLING BIAS ; SMALL PUMPS ; GROUNDWATER ; AGRICULTURE
WOS类目	Environmental Sciences
WOS研究方向	Environmental Sciences & Ecology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/374484
作者单位	[Akpoti, Komlavi] Univ Energy & Nat Resources UENR, Reg Ctr Energy & Environm Sustainabil RCEES, Sunyani, Ghana; [Higginbottom, Thomas P.; Foster, Timothy] Univ Manchester, Dept Mech Aerosp & Civil Engn, Manchester, Lancs, England; [Adhikari, Roshan] Univ Manchester, Global Dev Inst, Manchester, Lancs, England; [Zwart, Sander J.] Int Management Inst IWMI, Accra, Ghana
推荐引用方式 GB/T 7714	Akpoti, Komlavi,Higginbottom, Thomas P.,Foster, Timothy,et al. Mapping land suitability for informal, small-scale irrigation development using spatial modelling and machine learning in the Upper East Region, Ghana[J],2022,803.
APA	Akpoti, Komlavi,Higginbottom, Thomas P.,Foster, Timothy,Adhikari, Roshan,&Zwart, Sander J..(2022).Mapping land suitability for informal, small-scale irrigation development using spatial modelling and machine learning in the Upper East Region, Ghana.SCIENCE OF THE TOTAL ENVIRONMENT,803.
MLA	Akpoti, Komlavi,et al."Mapping land suitability for informal, small-scale irrigation development using spatial modelling and machine learning in the Upper East Region, Ghana".SCIENCE OF THE TOTAL ENVIRONMENT 803(2022).