干旱区生态环境知识资源中心(Arid): Remote sensing analysis of desert sensitive areas using MEDALUS model and GIS in the Niger River Basin

Arid

DOI	10.1016/j.ecolind.2023.111404
	Remote sensing analysis of desert sensitive areas using MEDALUS model and GIS in the Niger River Basin
	Ogbue, Chukwuka; Igboeli, Emeka; Ajaero, Chukwuedozie; Ochege, Friday Uchenna; Yahaya, Ibrahim Inuwa; Yeneayehu, Fenetahun; You, Yuan; Wang, Yongdong
通讯作者	Wang, YD
来源期刊	ECOLOGICAL INDICATORS
ISSN	1470-160X
EISSN	1872-7034
出版年	2024
卷号	158
英文摘要	Environmental degradation is a dynamic issue that requires ongoing monitoring to ensure ecological repair and environmental management for sustainable development. This study employed remote sensing techniques to ascertain the desertification sensitivity areas in the Niger River Basin (NRB) using the MEDALUS Model. The indicators for the model were divided into three categories: vegetation quality, climate quality, and soil quality index. The net primary productivity, estimated by the Carnegie Ames Stanford Approach model was substituted in the vegetation quality index. Each quality index was computed by calculating the geometric mean of selected sub-indices, while the geometric mean of the three quality indicators was utilized to determine the Environ-mental sensitivity to desertification in the study area. A total of 26.10% of the study area had low soil quality, while 26.16% and 17.41% of the study area had low vegetation and climate indicators, respectively. The study revealed that about 36.56% of the study area is highly sensitive while 27.65% and 35.78% are moderately and less sensitive respectively, to desertification in the NRB. The desertification-sensitivity index map shows that the northern part of the study area is highly susceptible to desertification and is encroaching southwards. The findings reveal that climate variables are major influencers in the study area. Our research is of importance to the Niger Basin Authority, planners, and other government agencies in charge of protecting the environment, to ascertain the sensitive areas to desertification, and to help cushion the effect of land degradation in the NRB.
英文关键词	Niger River Basin CASA model Net primary productivity Climate Land degradation
类型	Article
语种	英语
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:001137771200001
WOS关键词	NET PRIMARY PRODUCTIVITY ; QUANTITATIVE ASSESSMENT ; LAND DEGRADATION ; DESERTIFICATION ; NPP
WOS类目	Biodiversity Conservation ; Environmental Sciences
WOS研究方向	Biodiversity & Conservation ; Environmental Sciences & Ecology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/403369
推荐引用方式 GB/T 7714	Ogbue, Chukwuka,Igboeli, Emeka,Ajaero, Chukwuedozie,et al. Remote sensing analysis of desert sensitive areas using MEDALUS model and GIS in the Niger River Basin[J],2024,158.
APA	Ogbue, Chukwuka.,Igboeli, Emeka.,Ajaero, Chukwuedozie.,Ochege, Friday Uchenna.,Yahaya, Ibrahim Inuwa.,...&Wang, Yongdong.(2024).Remote sensing analysis of desert sensitive areas using MEDALUS model and GIS in the Niger River Basin.ECOLOGICAL INDICATORS,158.
MLA	Ogbue, Chukwuka,et al."Remote sensing analysis of desert sensitive areas using MEDALUS model and GIS in the Niger River Basin".ECOLOGICAL INDICATORS 158(2024).