干旱区生态环境知识资源中心(Arid): Assessment of Land Desertification in the Brazilian East Atlantic Region Using the Medalus Model and Google Earth Engine

Arid

DOI	10.3390/land13010031
	Assessment of Land Desertification in the Brazilian East Atlantic Region Using the Medalus Model and Google Earth Engine
	Macedo, Theilon Henrique de Jesus; Tagliaferre, Cristiano; da Silva, Bismarc Lopes; de Paula, Alessandro; Lemos, Odair Lacerda; Rocha, Felizardo Adenilson; Pinheiro, Rosilene Gomes de Souza; Santos Lima, Ana Carolina
通讯作者	da Silva, BL
来源期刊	LAND
EISSN	2073-445X
出版年	2024
卷号	13 期号:1
英文摘要	Many factors drive land desertification, especially in arid and semi-arid regions. However, the sheer number of these driving factors of desertification makes analyses computer-intensive. Cloud computing offers a solution to address this problem, especially in developing countries. The objective of this work was to assess the sensitivity of the East Atlantic Basin, Brazil, to desertification using the Mediterranean Desertification and Land Use (MEDALUS) model and Google Earth Engine (GEE). The model is composed of four environmental Quality Indices (QIs) associated with soil (SQI), vegetation (VQI), climate (CQI), and management (MQI), each encompassing factors that influence the desertification process. Digital databases corresponding to these factors were pre-processed and uploaded to GEE for analysis. We report Environmentally Sensitive Areas (ESAs) and Environmentally Critical Factors (ECF) maps of the East Atlantic Basin, which show that most of the basin is in either a critical (49.4%) or fragile (35.7%) state of sensitivity. In contrast, only a smaller portion of the area is unaffected (5%) or potentially affected (10.1%). The analysis also revealed an inverse correlation between desertification sensitivity and the presence of vigorous vegetation. A joint evaluation of ESAs and ECF shed light on the importance of each factor in the sensitivity to desertification. The East Atlantic Basin shows a high degree of sensitivity to desertification, thereby demanding more attention and the establishment of measures to mitigate the negative impacts of the desertification process.
英文关键词	environmental sensitivity cloud computing GIS land degradation Brazil
类型	Article
语种	英语
开放获取类型	gold
收录类别	SSCI
WOS记录号	WOS:001151553000001
WOS关键词	AREAS ; RISK ; NORTHEAST
WOS类目	Environmental Studies
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/2XILL650/404773
推荐引用方式 GB/T 7714	Macedo, Theilon Henrique de Jesus,Tagliaferre, Cristiano,da Silva, Bismarc Lopes,et al. Assessment of Land Desertification in the Brazilian East Atlantic Region Using the Medalus Model and Google Earth Engine[J],2024,13(1).
APA	Macedo, Theilon Henrique de Jesus.,Tagliaferre, Cristiano.,da Silva, Bismarc Lopes.,de Paula, Alessandro.,Lemos, Odair Lacerda.,...&Santos Lima, Ana Carolina.(2024).Assessment of Land Desertification in the Brazilian East Atlantic Region Using the Medalus Model and Google Earth Engine.LAND,13(1).
MLA	Macedo, Theilon Henrique de Jesus,et al."Assessment of Land Desertification in the Brazilian East Atlantic Region Using the Medalus Model and Google Earth Engine".LAND 13.1(2024).