Tillage effects on the soil water balance and the use of water by oats and wheat in a Mediterranean climate

Brunel-Saldias, Nidia; Seguel, Óscar; Ovalle, Carlos; Acevedo, Edmundo; Martínez, Ingrid

doi:10.1016/j.still.2018.07.005

Cited by 18 publications

(7 citation statements)

References 36 publications

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“…Other important implication of the present thesis is the higher microbial parameters obtained in NT during the water deficient periods. The positive effect of NT in soil moisture and soil temperature has been described previously (Fabrizzi et al 2005;Bescansa et al 2006;Cantero-Martínez et al 2007;Dahiya et al 2007;Gómez-Paccard et al 2015;Vita 2016;Brunel-Saldias et al 2018). This could be considered as an amelioration of soil microbial stress because extreme drought conditions.…”

Section: Which Are the Main Implications Of The Obtained Results?supporting

confidence: 53%

“…In addition, the mulching effect of crop residues in soil surface can reduce the water evaporation especially under drought conditions (Vita et al, 2007). Both improved infiltration and reduced evaporation, increase water availability for crops, which is one of the main drivers of higher crop production with NT under Mediterranean or semiarid conditions (Bescansa et al 2006;Cantero-Martínez et al 2007;Vita 2016;Brunel-Saldias et al 2018;Hontoria et al 2018). Under Mediterranean climate, where the rainfall is scarce and unevently distributed, and the period with higher sunlight radiation is delayed respect to the rainfall season, NT provides higher available soil water in rainfed agriculture increasing the crop yields (Cantero-Martínez et al 2007).…”

Section: 2no-tillage Agriculture Under Mediterranean Climatementioning

confidence: 99%

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Effect of no-tillage and liming practices on soil microbial parameters in degraded acid soils of SW Spain

Garcia¹

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Section: Which Are the Main Implications Of The Obtained Results?supporting

confidence: 53%

Section: 2no-tillage Agriculture Under Mediterranean Climatementioning

confidence: 99%

Effect of no-tillage and liming practices on soil microbial parameters in degraded acid soils of SW Spain

Garcia¹

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“…The water available in the soil is a determining factor in the development of plants, being essential to complete the phenological cycle, impacting the final productivity of crops (Abrecht and Carberry, 1993;Akas et al, 2019). The climatological water balance (CWB) makes it possible to quantify the water available in the soil in a given period, helping to monitor the development of plants and thus agricultural planning (Brunel-Saldias et al, 2018;Mohammad et al, 2018, Cecílio et al, 2012 reported that the CWB is sensitive to various climatic conditions, especially air temperature and precipitation, and it is important to carry out a seasonal and regional assessment.…”

Section: Introductionmentioning

confidence: 99%

Assessment of Climate Change Using Humidity index of Thornthwaite Climate Classification in Pantanal Biome

Lorençone

Aparecido

Lorençone

et al. 2022

Rev. bras. meteorol.

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Thornthwaite climate classification indices are essential to interpret climate types in the state of the pantanal biome (Mato Grosso do Sul), simplifying calculation process and interpretation of climatological water balance by farmers. However, there are few studies found in the literature that characterize the climate of pantanel biome in different climatic scenarios. We seek to assess climate change using humidity index of Thornthwaite climate classification in pantanal biome. We used historical series of climate data from all 79 municipalities of Mato Grosso do Sul between 1987 and 2017, which were divided into microregions. Air temperature and precipitation were collected on a daily scale. Precipitation and potential evapotranspiration data allowed calculating water balance by the Thornthwaite and Mather method. We characterized all locations as wet and dry using aridity indices proposed by Thornthwaite. The global climate model used was BCC-CSM 1.1 developed at the Beijing Climate Center (BCC) with a resolution of 125 x 125 km. We used the scenarios RCP-2.6, RCP-4, RCP-6 and RCP-8.5 for analyzing 21st century projections (2041-2060 and 2061-2080 periods). Maps were generated from climate indices of Mato Grosso do Sul using kriging interpolation method with spherical model, one neighbor, and 0.25° resolution. The microregions showed different patterns regarding water balance components and humidity index. Humidity index had a mean of 15.94. The prevailing climate in the state of Mato Grosso do Sul is C2 (moist subhumid). The state of Mato Grosso do Sul has two well-defined periods during the year: a dry and a rainy period. Three climate types predominate in Mato Grosso do Sul and, according to the Thornthwaite classification, are B1 (humid), C2 (moist subhumid), and C1 (dry subhumid). Water characterization in Mato Grosso do Sul showed 234.78 mm year−1 of water surplus, 80.8 mm year−1 of water deficit, and 1,114.8 mm year−1 of potential evapotranspiration. Water deficit and potential evapotranspiration decrease as latitude increases. The climatic projections show, in all scenarios, reduce the area classified as umida in the state (B1, B2 and B3), besides adding the dry subhumid class (C1). The Scenario RCP 8.5 in 2061 - 2080 is the most worrisome situation of all, because the state can undergo major changes, especially in the pantanal biome region.

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“…Using grid data for simulating WBs is one method to address errors and lack of data from meteorological ground stations. WB is an account of the amount of water in the soil (Brunel‐Saldias et al ., 2018) from the application of the principle of mass storage, which states that water storage (STO) is the result of inputs and outflows of water in a volume of soil (Moreira et al ., 2014; Abatzoglou et al ., 2018).…”

Section: Introductionmentioning

confidence: 99%

Validation of ECMWF climatic data, 1979–2017, and implications for modelling water balance for tropical climates

Aparecido¹,

Rolim

Moraes³

2020

Intl Journal of Climatology

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Gridded meteorological systems greatly facilitate the analysis of the impacts of climate on crop development and productivity. Comparisons of these data with actual ground data validate this data source for various analyses in agricultural areas. The impact of the use of these grid data is an important evaluation for the temporal and spatial simulation of soil-water availability for crops. We seek to verify how meteorological (ECMWF) data represents the surface water balance for Minas Gerais state. Monthly data for air temperature (T) and precipitation (P) from ECMWF were compared with the data from 771 ground stations (National Meteorological Institute, INMET) in the state of Minas Gerais in southeastern Brazil for 1979-2017. Potential evapotranspiration was estimated by Thornthwaite method (1948), and water balance was estimated by the method proposed by Thornthwaite and Mather (1955), with an available water capacity of 100 mm. We temporally and spatially compared the two data sources, and the comparisons were evaluated for accuracy using mean absolute percentage error (MAPE) root mean square error (RMSE) and for precision using the adjusted coefficient of determination (R 2 adj). ECMWF T and P tended to be temporally and spatially similar to the INMET data. The largest deviation between INMET T and ECMWF T was 2.81 C, mainly in the southwest of the state (the Minas Gerais triangle) and part of the central region during winter and spring, and the smallest deviation was −0.19 C in the northeast. The largest deviation between INMET P and ECMWF P was 75 mmÁmo −1 in the summer, mainly between January and February in the central region of Minas Gerais. ECMWF T and ECMWF P allowed an accurate estimation of the components of the water balance. For example, the lowest MAPEs were 1.21% for ECMWF water-storage capacity (southern Minas Gerais), 9.16% for ECMWF water deficiency (Vale do Jequitinhonha e Mucurí), and 8.69% for ECMWF excess water (Vale do Jequitinhonha e Mucurí). ECMWF can be used to estimate WB to represent surface stations, provided they are calibrated according to the region and seasons.

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Tillage effects on the soil water balance and the use of water by oats and wheat in a Mediterranean climate

Cited by 18 publications

References 36 publications

Effect of no-tillage and liming practices on soil microbial parameters in degraded acid soils of SW Spain

Effect of no-tillage and liming practices on soil microbial parameters in degraded acid soils of SW Spain

Assessment of Climate Change Using Humidity index of Thornthwaite Climate Classification in Pantanal Biome

Validation of ECMWF climatic data, 1979–2017, and implications for modelling water balance for tropical climates

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