Knowledge Resource Center for Ecological Environment in Arid Area
| DOI | 10.1002/joc.6869 |
| Desertification susceptibility over Rio de Janeiro, Brazil, based on aridity indices and geoprocessing | |
| Bohn, Leonardo; Lyra, Gustavo Bastos; Oliveira-Junior, Jose Francisco; Zeri, Marcelo; Cunha-Zeri, Gisleine | |
| 通讯作者 | Lyra, GB |
| 来源期刊 | INTERNATIONAL JOURNAL OF CLIMATOLOGY
 |
| ISSN | 0899-8418 |
| EISSN | 1097-0088 |
| 英文摘要 | Desertification is a serious threat to human development and sustainability. This process is characterized by land degradation over areas with dry sub-humid, semi-arid and arid climate. In this work, climate susceptibility to desertification was identified for the state of Rio de Janeiro (SRJ), Brazil, the third most populated state in the country. The state is characterized by complex topography, and diverse climate and land uses. Two formulations for the aridity index were used:I-a, defined by Thornthwaite (1948,Geographical Review, 38(1), 55-94) and Penman (1953,Horticultural Congress, 2, 913-924), andD, a modification ofI(a)by Hare (1983,Climate and Desertification: A Revised Analysis, Geneva: World Meteorological Organization). Both estimates of the aridity require annual rainfall and potential evapotranspiration, which were calculated from the climatological water balance using times series of rainfall and air temperature (1961-2010) from 98 stations over the SRJ. Annual rainfall, evapotranspiration, water deficit and the aridity indices were then spatially interpolated over a 5 x 5-km grid using a spline tension method. Both indices agree on the driest regions of the SRJ:NorteandBaixada Litoranea, near the northern coast, both under sub-humid and semi-arid climate. The indexI(a)indicated susceptibility to desertification over 2,305 km(2)on theNorteandBaixada Litoranearegions, which correspond to 5% of SRJ area; similarly, the indexDclassified a smaller area over theNorteregion under desertification (431 km(2)). These subregions, among the others also considered in this study, are of great importance for the agricultural, forestry and tourism industries and contribute immensely to the economic development of the state. Hence, the evaluation of susceptibility to desertification in those areas is essential to help prevent further land degradation and support policies formulation on long-term sustainable management of land and water resources, especially under regional and global climate change scenarios. The methodology used in this work can be applied to studies of desertification in other regions of the world. |
| 英文关键词 | aridity index cartographic modelling geographic information system climatological water balance |
| 类型 | Article ; Early Access |
| 语种 | 英语 |
| 收录类别 | SCI-E |
| WOS记录号 | WOS:000579456300001 |
| WOS关键词 | AIR-TEMPERATURE ; SPI INDEX ; STATE ; TRENDS ; CLASSIFICATION ; PRECIPITATION ; VEGETATION ; NORTHEAST ; SCIENCE ; CLIMATE |
| WOS类目 | Meteorology & Atmospheric Sciences |
| WOS研究方向 | Meteorology & Atmospheric Sciences |
| 资源类型 | 期刊论文 |
| 条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/328369 |
| 作者单位 | [Bohn, Leonardo] Univ Fed Rio Grande Sul UFRGS, Fac Ciencias Econ FCE, Ctr Interdisciplinar Soc Ambiente & Desenvolvimen, Programa Posgrad Desenvolvimento Rural PGDR, Porto Alegre, RS, Brazil; [Lyra, Gustavo Bastos] Univ Fed Rural Rio De Janeiro, Inst Florestas, Dept Ciencias Ambientais, Seropedica, RJ, Brazil; [Oliveira-Junior, Jose Francisco] Univ Fed Alagoas, Inst Ciencias Atmosfer, Maceio, Alagoas, Brazil; [Zeri, Marcelo] Natl Ctr Monitoring & Early Warning Nat Disasters, Sao Jose Dos Campos, SP, Brazil; [Cunha-Zeri, Gisleine] Natl Inst Space Res INPE, Sao Jose Dos Campos, SP, Brazil |
| 推荐引用方式 GB/T 7714 | Bohn, Leonardo,Lyra, Gustavo Bastos,Oliveira-Junior, Jose Francisco,et al. Desertification susceptibility over Rio de Janeiro, Brazil, based on aridity indices and geoprocessing[J]. |
| APA | Bohn, Leonardo,Lyra, Gustavo Bastos,Oliveira-Junior, Jose Francisco,Zeri, Marcelo,&Cunha-Zeri, Gisleine. |
| MLA | Bohn, Leonardo,et al."Desertification susceptibility over Rio de Janeiro, Brazil, based on aridity indices and geoprocessing".INTERNATIONAL JOURNAL OF CLIMATOLOGY |
| 条目包含的文件 | 条目无相关文件。 | |||||
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