Knowledge Resource Center for Ecological Environment in Arid Area
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). |
条目包含的文件 | 条目无相关文件。 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。