@Article{BohnLyrOliZerCun:2021:DeSuOv,
               author = "Bohn, Leonardo and Lyra, Gustavo Bastos and Oliveira J{\'u}nior, 
                         Jos{\'e} Francisco and Zeri, Marcelo and Cunha Zeri, Gisleine",
          affiliation = "{Universidade Federal do Rio Grande do Sul (UFRGS)} and 
                         {Universidade Federal Rural do Rio de Janeiro (UFRRJ)} and 
                         {Universidade Federal de Alagoas (UFAL)} and {Centro Nacional de 
                         Monitoramento e Alertas de Desastres Naturais (CEMADEN)} and 
                         {Instituto Nacional de Pesquisas Espaciais (INPE)}",
                title = "Desertification susceptibility over Rio de Janeiro, Brazil, based 
                         on aridity indices and geoprocessing",
              journal = "International Journal of Climatology",
                 year = "2021",
               volume = "41",
               number = "S1",
                pages = "E2600--E2614",
                month = "Jan.",
             keywords = "aridity index, cartographic modelling, geographic information 
                         system, climatological water balance.",
             abstract = "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: Ia, defined by 
                         Thornthwaite (1948, Geographical Review, 38(1), 5594) and Penman 
                         (1953, Horticultural Congress, 2, 913924), and D, a modification 
                         of Ia 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 
                         (19612010) from 98 stations over the SRJ. Annual rainfall, 
                         evapotranspiration, water deficit and the aridity indices were 
                         then spatially interpolated over a 5 × 5-km grid using a spline 
                         tension method. Both indices agree on the driest regions of the 
                         SRJ: Norte and Baixada Litor{\^a}nea, near the northern coast, 
                         both under sub-humid and semi-arid climate. The index Ia indicated 
                         susceptibility to desertification over 2,305 km2 on the Norte and 
                         Baixada Litor{\^a}nea regions, which correspond to 5% of SRJ 
                         area; similarly, the index D classified a smaller area over the 
                         Norte region under desertification (431 km2). 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.",
                  doi = "10.1002/joc.6869",
                  url = "http://dx.doi.org/10.1002/joc.6869",
                 issn = "0899-8418",
             language = "en",
        urlaccessdate = "09 maio 2024"
}