干旱区生态环境知识资源中心(Arid): Evaluating the potential of Bayesian networks for desertification assessment in arid areas of Iran

Arid

DOI	10.1002/ldr.3224
	Evaluating the potential of Bayesian networks for desertification assessment in arid areas of Iran
	Boali, Abdolhossein; Bashari, Hossein; Jafari, Reza
通讯作者	Bashari, Hossein
来源期刊	LAND DEGRADATION & DEVELOPMENT
ISSN	1085-3278
EISSN	1099-145X
出版年	2019
卷号	30 期号:4 页码:371-390
英文摘要	Spatiotemporal complexities increase the uncertainty of the results of various desertification assessment models. We integrated the Mediterranean desertification and land-use (MEDALUS) model with Bayesian networks (BNs) to develop a novel method for desertification assessment in central Iran. We first derived the current desertification status of the study area from empirical observations of actual, current desertification conditions and mapped the obtained status based on the criteria of the MEDALUS model. We then utilized BNs to produce three separate causal models for the soil, groundwater, and wind erosion indicators of the MEDALUS model. We then integrated all the related indicators and indices into a desertification assessment BNs model. After the reevaluation and sensitivity analysis of the model, we compared its results with those of the MEDALUS model. The obtained results highlighted soil condition and wind erosion as the main determinants of desertification in the study area. Considering the ability of BNs to accommodate uncertainty in the assessment process, these models can assist relevant authorities in making informed decisions. They can also be applied as decision support tools for adaptive management in fragile ecosystems of arid areas.
英文关键词	Bayesian networks decision support tool desertification MEDALUS uncertainty
类型	Article
语种	英语
国家	Iran
收录类别	SCI-E
WOS记录号	WOS:000458674300002
WOS关键词	BELIEF NETWORKS ; SOIL COMPACTION ; MANAGEMENT ; FRAMEWORK ; HABITAT ; EROSION ; RISK
WOS类目	Environmental Sciences ; Soil Science
WOS研究方向	Environmental Sciences & Ecology ; Agriculture
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/217454
作者单位	Isfahan Univ Technol, Dept Nat Resources, Esfahan 8415683111, Iran
推荐引用方式 GB/T 7714	Boali, Abdolhossein,Bashari, Hossein,Jafari, Reza. Evaluating the potential of Bayesian networks for desertification assessment in arid areas of Iran[J],2019,30(4):371-390.
APA	Boali, Abdolhossein,Bashari, Hossein,&Jafari, Reza.(2019).Evaluating the potential of Bayesian networks for desertification assessment in arid areas of Iran.LAND DEGRADATION & DEVELOPMENT,30(4),371-390.
MLA	Boali, Abdolhossein,et al."Evaluating the potential of Bayesian networks for desertification assessment in arid areas of Iran".LAND DEGRADATION & DEVELOPMENT 30.4(2019):371-390.