干旱区生态环境知识资源中心(Arid): Aridity indices to assess desertification susceptibility: a methodological approach using gridded climate data and cartographic modeling

Arid

DOI	10.1007/s11069-021-05147-0
	Aridity indices to assess desertification susceptibility: a methodological approach using gridded climate data and cartographic modeling
	dos Santos, Janaina Cassiano; Lyra, Gustavo Bastos; Abreu, Marcel Carvalho; de Oliveira-Junior, Jose Francisco; Bohn, Leonardo; Cunha-Zeri, Gisleine; Zeri, Marcelo
通讯作者	Lyra, GB
来源期刊	NATURAL HAZARDS
ISSN	0921-030X
EISSN	1573-0840
出版年	2022
英文摘要	Desertification is a land degradation phenomenon with dire and irreversible consequences, affecting different regions of the world. Assessment of spatial climate susceptibility to desertification requires long-term averages of precipitation (P) and potential evapotranspiration (PET). An alternative to desertification susceptibility analysis is the use of spatially gridded climate data. The aim of this study was to assess an approach based on gridded climate data and cartographic modeling to characterize climate susceptibility to desertification over Southeast Brazil. Two indices were used to identify climate desertification susceptibility: the aridity index I-a (P/PET) and D (PET/P). Precipitation gridded data from the Global Precipitation Climatology Centre (GPCC), and air temperature from the Global Historical Climatology Network (GHCN) were used. The PET was estimated by the Thornthwaite's method using air temperature data. The assessment of these gridded climate series, PET and indices was performed using independent observed climate series (1961-2010) from the National Institute of Meteorology (INMET) of Brazil-(68 weather stations). Determination coefficient (r(2)) and the Willmott's coefficient (d) between gridded and observed data revealed satisfactory precision and agreement for grids of precipitation (r(2) > 0.93, d > 0.90), air temperature (r(2) > 0.94, d > 0.53) and PET (r(2) > 0.93, d > 0.63). Overall, the aridity indices based on climate gridded presented good performance when used to identify areas susceptible to desertification. Susceptible areas to desertification were identified by the index I-a over the Northern regions of Minas Gerais and Rio de Janeiro states. No susceptible areas to desertification were identified using the index D. However, both indices indicated large areas of sub-humid climate, which can be strongly affected by desertification in the future.
英文关键词	Land degradation Spatial modeling Geoprocessing Climate
类型	Article ; Early Access
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000739311200006
WOS关键词	SOUTH-AMERICA ; BRAZIL ; CLASSIFICATION ; PRECIPITATION ; RAINFALL ; INTERPOLATION ; VARIABILITY ; PROJECTIONS ; SCIENCE
WOS类目	Geosciences, Multidisciplinary ; Meteorology & Atmospheric Sciences ; Water Resources
WOS研究方向	Geology ; Meteorology & Atmospheric Sciences ; Water Resources
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/377182
推荐引用方式 GB/T 7714	dos Santos, Janaina Cassiano,Lyra, Gustavo Bastos,Abreu, Marcel Carvalho,et al. Aridity indices to assess desertification susceptibility: a methodological approach using gridded climate data and cartographic modeling[J],2022.
APA	dos Santos, Janaina Cassiano.,Lyra, Gustavo Bastos.,Abreu, Marcel Carvalho.,de Oliveira-Junior, Jose Francisco.,Bohn, Leonardo.,...&Zeri, Marcelo.(2022).Aridity indices to assess desertification susceptibility: a methodological approach using gridded climate data and cartographic modeling.NATURAL HAZARDS.
MLA	dos Santos, Janaina Cassiano,et al."Aridity indices to assess desertification susceptibility: a methodological approach using gridded climate data and cartographic modeling".NATURAL HAZARDS (2022).