Alterações na eficiência do uso da água relacionadas com fatores climáticos e uso e ocupação do solo, na região do MATOPIBA

Santiago, Dimas de Barros; Barbosa, Humberto Alves; Filho, Washington Luiz Félix Correia

doi:10.33448/rsd-v10i9.17891

Cited by 2 publications

(6 citation statements)

References 32 publications

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“…Proper management in agriculture, necessary for enhancing the development of crops, leads to greater WUE and water demand [57,58]. In addition, the portions where negative scores were observed were coincidently located in areas with higher elevations, higher LST values, and lower rainfall rates, which corroborates the results of Barros Santiago et al [4]. Positive scores were observed in the south of the state of Maranhão and over a large part of the state of Tocantins, possibly related to the variables Rainfall, GPP, and ET, since these areas have a dense vegetation cover (forests in the northern portion of the Maranhão) and watercourses of the main rivers existing in the Brazilian Cerrado.…”

Section: Principal Component Analysissupporting

confidence: 87%

Section: Principal Component Analysissupporting

confidence: 86%

“…The need for areas with agricultural potential in the world has been growing over the years due to population growth [1]. The Brazilian Cerrado has been essential in this search for agricultural areas and has undergone significant transformations over decades due to large-scale food production, whether for export or domestic supply [2][3][4]. Such transformations associated with human activities influence the climate, causing changes in land use and land cover (LULC) and, consequently, affecting the carbon (C) and water (H 2 O) cycles of the local vegetation [5].…”

Section: Introductionmentioning

confidence: 99%

“…Barros Santiago et al [4] showed a brief approach to influences in an exploratory way, spatially describing the behavior of vegetation associated with these changes and those influenced by some environmental variables that altered the WUE in MATOPIBA. However, it was not clear what the contribution rate of each environmental variable in the WUE changes, which will be described and detailed in this study by using multivariate analyses in order to identify the contributions in the C-H 2 O balance of the vegetation.…”

Section: Introductionmentioning

confidence: 99%

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Interactions of Environmental Variables and Water Use Efficiency in the Matopiba Region via Multivariate Analysis

et al. 2022

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This study aimed to evaluate the interaction of environmental variables and Water Use Efficiency (WUE) via multivariate analysis to understand the importance of each variable in the carbon–water balance in MATOPIBA. Principal Component Analysis (PCA) was applied to reduce spatial dimensionality and to identify patterns by using the following data: (i) LST (MOD11A2) and WUE (ratio between GPP-MOD17A2 and ET-MOD16A2), based on MODIS orbital products; (ii) Rainfall based on CHIRPS precipitation product; (iii) slope, roughness, and elevation from the GMTED and SRTM version 4.1 products; and (iv) geographic data, Latitude, and Longitude. All calculations were performed in R version 3.6.3 and Quantum GIS (QGIS) version 3.4.6. Eight variables were initially used. After applying the PCA, only four were suitable: Elevation, LST, Rainfall, and WUE, with values greater than 0.7. A positive correlation (≥0.78) between the variables (Elevation, LST, and Rainfall) and vegetation was identified. According to the KMO test, a series-considered medium was obtained (0.7 < KMO < 0.8), and it was explained by one PC (PC1). PC1 was explained by four variables (Elevation, LST, Rainfall, and WUE), among which WUE (0.8 < KMO < 0.9) was responsible for detailing 65.77% of the total explained variance. Positive scores were found in the states of Maranhão and Tocantins and negative scores in Piauí and Bahia. The positive scores show areas with greater Rainfall, GPP, and ET availability, while the negative scores show areas with greater water demand and LST. It was concluded that variations in variables such as Rainfall, LST, GPP, and ET can influence the local behavior of the carbon–water cycle of the vegetation, impacting the WUE in MATOPIBA.

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Section: Principal Component Analysissupporting

confidence: 87%

Section: Principal Component Analysissupporting

confidence: 86%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Interactions of Environmental Variables and Water Use Efficiency in the Matopiba Region via Multivariate Analysis

et al. 2022

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“…WUE is an indicator to quantify the coupling between the water and carbon cycles [4,5]. The physiological responses of vegetation to environmental changes in terms of WUE [6] are fundamental because changes in the carbon and water cycles have an impact on this variable [7].…”

Section: Introductionmentioning

confidence: 99%

Variability of Water Use Efficiency Associated with Climate Change in the Extreme West of Bahia

et al. 2022

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Water has become more important in agricultural implementations over the years, as has the need for water management. Thus, Water Use Efficiency (WUE) has been used as an alternative form of detecting the variability of water management based on the carbon–water cycle. The study aimed to map and quantify the spatio-temporal distribution of WUE based on its interactions with environmental changes. It focused on an agricultural area in the westernmost region of Bahia, Northeast Brazil (NEB). For WUE estimation, data from Collection 6 MODIS Gross Primary Productivity (GPP) and Evapotranspiration (ET) products with a spatial resolution of 0.05° × 0.05° were obtained from the Earth Explorer website. Subsequently, annual WUE anomalies were calculated based on the 2001–2019 period. The results obtained indicated that the highest values of GPP (580 gC/m2), ET (3000 mm), and WUE (3.5 gC/mm·m2) occurred in agricultural areas, associated with cultural treatments and insertion of irrigation, which helped in the higher WUE values and consequently increased agricultural productivity in the study region. In addition, there was a marked influence of the phases of the climate variability mode—El Niño-Southern Oscillation (ENSO)—on the annual variability of the WUE, with a reduction of 96% during the La Niña of 2016 (an increase of 89% during El Niño of 2005). During El Niños, vegetation had greater efficiency resulting from the adaptation of vegetation in maintaining the carbon–water balance, using water more efficiently. However, unlike Las Niñas, with excessive precipitation there is an interference in the WUE, which interferes with the absorption of radiation and nutrients for the biophysical processes of vegetation and agriculture and, consequently, agricultural production. The use of WUE for agriculture is extremely important, especially for Brazil and countries with an economy based on primary production. This information on the way vegetation (native or agricultural) responds to interactions with the environment aids in decision-making about water management, possibly lowering losses or agricultural damage caused by a lack of water.

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Alterações na eficiência do uso da água relacionadas com fatores climáticos e uso e ocupação do solo, na região do MATOPIBA

Cited by 2 publications

References 32 publications

Interactions of Environmental Variables and Water Use Efficiency in the Matopiba Region via Multivariate Analysis

Interactions of Environmental Variables and Water Use Efficiency in the Matopiba Region via Multivariate Analysis

Variability of Water Use Efficiency Associated with Climate Change in the Extreme West of Bahia

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