干旱区生态环境知识资源中心(Arid): Cellular automata predictive model for man-made environment growth in a Brazilian semi-arid watershed

Arid

DOI	10.1007/s10661-021-09108-9
	Cellular automata predictive model for man-made environment growth in a Brazilian semi-arid watershed
	de Brito, Higor Costa; Alves Rufino, Iana Alexandra; Djordjevic, Slobodan
通讯作者	de Brito, HC (corresponding author)，Univ Fed Campina Grande, Ctr Technol & Nat Resources, Campina Grande, Paraiba, Brazil.
来源期刊	ENVIRONMENTAL MONITORING AND ASSESSMENT
ISSN	0167-6369
EISSN	1573-2959
出版年	2021
卷号	193 期号:6
英文摘要	The current study implements a cellular automata-based model for the development of land use/land cover (LULC) future scenarios using a Remote Sensing (RS) Imagery series (1985 to 2018) as data input and focusing on human activities drivers in a 6700-km(2) watershed vital for the water security of Paraiba state, Brazil. The methodology has three stages: the first stage is the pre-processing of images and preparing them as data input for the cellular automata land use model built in the R software environment (SIMLANDER); the stage of calibration establishes the variables and verifies the influence of each one on the LULC of the region; the last step corresponds to the validation procedures. After model calibration, land use maps for future scenarios (2019 to 2045) were simulated. The results estimate a reduction of 737-km(2) of natural land cover between the years 2019 and 2045. The spatial distribution of anthropogenic interference predicted a more significant degradation in the central region of the basin. This fact can be potentially attributed by the water availability increasing from the Sao Francisco River diversion. It is possible to identify an ascending trend of anthropogenic actions in the semi-arid region, which host the exclusively Brazilian biome-Caatinga-and contains biodiversity that cannot be found anywhere else on the Earth. The model helps large-scale LULC modelling based on RS products and expands the possibilities of hydrological, urban and social modelling in the Brazilian context.
英文关键词	Land use change Cellular automata Brazilian semi-arid Anthropogenic actions
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000757297900003
WOS关键词	URBAN-GROWTH ; DYNAMICS ; SUSTAINABILITY ; SCENARIOS ; FORM
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/2XILL650/375959
作者单位	[de Brito, Higor Costa; Alves Rufino, Iana Alexandra] Univ Fed Campina Grande, Ctr Technol & Nat Resources, Campina Grande, Paraiba, Brazil; [Djordjevic, Slobodan] Univ Exeter, Ctr Water Syst, Exeter EX4 4QF, Devon, England
推荐引用方式 GB/T 7714	de Brito, Higor Costa,Alves Rufino, Iana Alexandra,Djordjevic, Slobodan. Cellular automata predictive model for man-made environment growth in a Brazilian semi-arid watershed[J],2021,193(6).
APA	de Brito, Higor Costa,Alves Rufino, Iana Alexandra,&Djordjevic, Slobodan.(2021).Cellular automata predictive model for man-made environment growth in a Brazilian semi-arid watershed.ENVIRONMENTAL MONITORING AND ASSESSMENT,193(6).
MLA	de Brito, Higor Costa,et al."Cellular automata predictive model for man-made environment growth in a Brazilian semi-arid watershed".ENVIRONMENTAL MONITORING AND ASSESSMENT 193.6(2021).