Characterizing spatio-temporal patterns of social vulnerability to droughts, degradation and desertification in the Brazilian northeast

Vieira, Rita Marcia da Silva Pinto; Sestini, Marcelo Francisco; Tomasella, Javier; Marchezini, Víctor; Pereira, Guilherme Reis; Barbosa, Alexandre; Santos, Fabrícia Cristina; Rodríguez, Daniel Andrés; Nascimento, Flávio Rodrigues do; Santana, Marcos Oliveira; Campello, Francisco Carneiro Barreto; Ometto, Jean Pierre

doi:10.1016/j.indic.2019.100016

Cited by 40 publications

(32 citation statements)

References 31 publications

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“…Drought-related vulnerability assessments are at the forefront of current studies (Edalat and Stephen 2019;Kreibich et al 2019;Sutanto et al 2020) since a considerable amount of arable land is facing numerous challenges in terms of changing climatic patterns from all over the world (Zarafshani et al 2012;Gan et al 2016;Urquijo et al 2017;Musolino et al 2018;Rajesh et al 2018;Ausseil et al 2019). Methodologies applied for assessing drought-related vulnerability vary greatly due to the differences regarding the spatial and temporal aim of studies (Murthy et al 2015;Dumitraşcu et al 2018;Kamali et al 2018;Rojas 2018;Ahmadalipour et al 2019;Kim et al 2019;Oikonomou et al 2019;Vieira et al 2020). The listed papers have all formed the methodology applying in this study by paying attention to their potential applicability on the Hungarian NUTS-3 level.…”

Section: Methodology Of Vulnerability Calculationmentioning

confidence: 99%

Drought-related vulnerability and its policy implications in Hungary

Buzási

Pálvölgyi

Esses

2021

Mitig Adapt Strateg Glob Change

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Drought phenomena have been frequent in Hungarian history. One of the most important sectors in Hungary is agriculture, so the agricultural drought is a particularly important area to be examined. The purpose of the study is to determine how vulnerable each county (NUTS-3 regions) is to the expected effects of drought. The study provides an assessment framework of drought-related vulnerabilities and the preparedness of drought policies at the NUTS-3 level in Hungary. The drought-related vulnerability of NUTS-3 regions was determined by selected exposure, sensitivity, and adaptive capacity indicators. The calculation of drought vulnerability is based on the IPCC 2007 methodology, while the input data were derived from the National Adaptation Geo-information System online data platform and Hungarian agro-statistical data sources. An assessment framework of drought-related policy performance of NUTS-3-level climate change strategies was developed. The evaluation methodology is based on a specific scorecard of evaluation criteria related to the performance of the county’s drought-related objectives and measures. According to the relationship between the county’s drought-related vulnerability and policy performance, the counties were classified into four types. The main results show that several counties fail the target by overestimating the role of drought prevention, with little vulnerability index. In contrast, many counties are not adequately prepared for the impacts of drought, despite their high vulnerability index.

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Section: Methodology Of Vulnerability Calculationmentioning

confidence: 99%

Drought-related vulnerability and its policy implications in Hungary

Buzási

Pálvölgyi

Esses

2021

Mitig Adapt Strateg Glob Change

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“…The literature on vulnerability, health and droughts in Brazil has been growing in recent years, but the discussion on health determinants of disasters and drought vulnerabilities is still scarce [8,[13][14][15]29,31,64]. In this sense, the present study proposed an index of health vulnerability in drought situations (HVI) based on social, economic, epidemiological, and environmental indicators that, assembled in factors, elucidated some health determinants, based mainly on publicly available information for all the Semiarid municipalities.…”

Section: Rural and Social Characteristics Influencing Health Vulnerabilitiesmentioning

confidence: 99%

“…Water and food security, social capital, and social determinants have also been related to health vulnerability to droughts in different regions, including semiarid places [14,15,21,[26][27][28]. However, especially in Brazil, these studies are often limited to the biophysical and epidemiological impacts of disasters, failing to produce a bigger picture on the theme [8,[13][14][15]17,[29][30][31].…”

Section: Introductionmentioning

confidence: 99%

Analyzing Spatial Patterns of Health Vulnerability to Drought in the Brazilian Semiarid Region

Menezes

Madureira

Santos

et al. 2021

IJERPH

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Health determinants might play an important role in shaping the impacts related to long-term disasters such as droughts. Understanding their distribution in populated dry regions may help to map vulnerabilities and set coping strategies for current and future threats to human health. The aim of the study was to identify the most vulnerable municipalities of the Brazilian semiarid region when it comes to the relationship between drought, health, and their determinants using a multidimensional index. From a place-based framework, epidemiological, socio-economic, rural, and health infrastructure data were obtained for 1135 municipalities in the Brazilian semiarid region. An exploratory factor analysis was used to reduce 32 variables to four independent factors and compute a Health Vulnerability Index. The health vulnerability was modulated by social determinants, rural characteristics, and access to water in this semiarid region. There was a clear distinction between municipalities with the highest human welfare and economic development and those municipalities with the worst living conditions and health status. Spatial patterns showed a cluster of the most vulnerable municipalities in the western, eastern, and northeastern portions of the semiarid region. The spatial visualization of the associated vulnerabilities supports decision making on health promotion policies that should focus on reducing social inequality. In addition, policymakers are presented with a simple tool to identify populations or areas with the worst socioeconomic and health conditions, which can facilitate the targeting of actions and resources on a more equitable basis. Further, the results contribute to the understanding of social determinants that may be related to medium- and long-term health outcomes in the region.

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“…Desertification is a complex and dynamical process affecting arid, semi-arid and subhumid regions, and influenced by several factors such as climate variability, relief, soil, biophysical phenomena, and anthropic activities (Vieira et al 2015(Vieira et al , 2020Tomasella et al 2018). The process is triggered by an accelerated degradation of natural vegetation and soil, beyond the natural regenerative capacity of the landscape.…”

Section: Introductionmentioning

confidence: 99%

“…Currently, it is estimated that one billion people in 100 countries are affected by desertification, with 250 million in developing nations (Reynolds et al 2007). In Brazil, most of the studies on desertification focus on the Northeast region due to its semi-arid climate and high number of municipalities with high vulnerability to drought (Marengo et al 2017;Ferreira et al 2017;Tomasella et al 2018;Alves et al 2020;Vieira et al 2020). However, other regions of the country have similar climate and issues of environmental degradation, increasing the risk of desertification.…”

Section: Introductionmentioning

confidence: 99%

Aridity Indices to Assess Desertification Susceptibility: A Methodological Approach Using Gridded Climate Data

Santos

Lyra

Abreu

et al. 2021

Preprint

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Desertification is a land degradation phenomenon with dire and irreversible consequences, affecting different regions of the world. Assessment of spatial susceptibility to desertification requires long-term series of precipitation (P) and evapotranspiration (PET). An approach to desertification analysis is the use of spatially gridded time series of air temperature and precipitation, derived from spatial interpolation of in situ measurements and available globally. The aim of this article was to estimate the susceptibility to desertification over Southeast Brazil using monthly gridded data from the Global Precipitation Climatology Centre (GPCC), and from the Global Historical Climatology Network (GHCN). Two indices were used to estimate desertification susceptibility: the aridity index Ia (P/PET) and D (PET/P). Validation of these datasets was performed using in situ observations (1961—2010) from the National Institute of Meteorology (INMET) – (68 weather stations). Determination coefficient (r²) and the Willmott’s coefficient of agreement (d) between gridded and observed data revealed satisfactory accuracy and precision for grids of precipitation (r2 > 0.93, d > 0.90), air temperature (r2 > 0.94, d > 0.53) and PET (r2 > 0.93, d > 0.63). Areas susceptible to desertification were identified by the index Ia over the Northern regions of Minas Gerais and Rio de Janeiro states. No areas susceptible to desertification were identified using the index D. However, both indices indicated large areas of dry sub-humid climate, which can be strongly affected by drought conditions. Overall, climate gridded variables presented good precision and accuracy when used to identify areas susceptible to desertification.

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Characterizing spatio-temporal patterns of social vulnerability to droughts, degradation and desertification in the Brazilian northeast

Cited by 40 publications

References 31 publications

Drought-related vulnerability and its policy implications in Hungary

Drought-related vulnerability and its policy implications in Hungary

Analyzing Spatial Patterns of Health Vulnerability to Drought in the Brazilian Semiarid Region

Aridity Indices to Assess Desertification Susceptibility: A Methodological Approach Using Gridded Climate Data

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