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Microbial enzymatic stoichiometry and the acquisition of C, N,and P in soils under different land-use types in Braziliansemiarid

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Soil Ecology Letters 2023年第3期5卷 101-108页

作者： Erika Valente de Medeiros Érica de Oliveira Silva Gustavo Pereira Duda Mario Andrade Lira Junior Uemeson Josédos Santos claude hammecker Diogo Paes da Costa Fabio Fernando Araujo Arthur Prudêncio de Araujo Pereira Lucas William Mendes Ademir Sergio Ferreira Araujo Laboratory of Microbiology and Enzymology-LEMA Federal University of Agreste PernambucoGaranhuns 55292-270Brazil Federal Rural University of Pernambuco Rua Dom Manuel de Medeiross/nDois Irmãos52171-900RecifeBrazil Soil-Agrosystem-Hydrosystem Interaction Lab-LISAH Place Pierre Viala234060 MontpellierFrance Universidade do Oeste Paulista Presidente PrudenteSPBrazil Departamento de Ciência Do Solo Universidade Federal Do CearáFortalezaCEBrazil Center for Nuclear Energy in Agriculture University of Sao PauloPiracicabaSPBrazil Soil Quality Lab Agricultural Science CenterFederal University of PiauíTeresinaPI 60049-550Brazil

This study hypothesized that different land-use affect the microbial enzymatic stoichiometry and C-,N-,and P-acquisition in Brazilian semiarid ***,the enzymesβ-glucosidase(C-acquiring enzyme),urease(N-acquiring enzyme),and acid phosphatase(P-acquiring enzyme)were assessed in soil samples collected at 0−5 and 5−10 cm depth from a tropical dry forest,a protected area with Angico,a protected area with Ipê,scrub area,and an agricultural area with *** values of C-,N-,and P-acquiring enzymes were used to calculate the enzymatic C:N,C:P,and N:P *** values of C:P and N:P ratios were higher at 0−5 cm depth,while no significant variation,between soil depth,was observed for C:N *** values of C-and N-acquiring enzymes were higher at 0−5 cm in tropical dry forest areas and Angico forest,*** all land use types,the values of vectors L and A were higher than 1°and 45°,*** study showed that both land-use and soil depth influence the enzymatic stoichiometry,showing higher values of C-and N-acquiring enzymes in native and protected forests at soil surface.

关键词： C:N:P stoichiometry tropical forests soil depth Luvisols

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Calibration of Hargreaves-Samani Equation for Estimating Reference Evapotranspiration in Sub-Humid Region of Brazil

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Journal of Water Resource and Protection 2013年第12期5卷 1-5页

作者： José Romualdo de Sousa Lima Antonio Celso Dantas Antonino Eduardo Soares de Souza claude hammecker Suzana Maria Gico Lima Montenegro Carlos Alberto Brayner de Oliveira Lira Academic Unity of Garanhuns Federal Rural University of Pernambuco Garanhuns Brazil Academic Unity of Serra Talhada Federal Rural University of Pernambuco Serra Talhada Brazil Land Development Department Office of Science for Land Development IRD Montpellier France Nuclear Energy Department Federal University of Pernambuco Recife Brazil

Reference evapotranspiration (ETo) is an important parameter used in numerous applications, such as climatological and hydrological studies, as well as for water resources planning and management. There are several methods to estimate ETo, being that the FAO Penman-Monteith (EToPM) method is considered standard. This method needs many parameters (solar radiation, air temperature, humidity and wind speed), however there are still many uncovered areas, suggesting the need for methods of calculating evapotranspiration based on few meteorological elements, such as air temperature. Therefore, this study aimed to determine the ETo by Hargreaves-Samani method in the experimental watershed of the “Riacho do Papagaio” farm, in county of Sao Joao, in north-eastern Brazil, using data of 2011 and 2012. Reference evapotranspiration estimated by non-calibrated Hargreaves-Samani method (EToHS) was overestimated in all months (RMSE = 1.43 mm·d-1), mainly in months of lower evaporative demand (from May to July). Because of these tendencies, this method cannot be used in its original form to estimate ET for this region;therefore, a calibration of radiation adjustment coefficient (kRs) was performed. The calibrated Hargreaves-Samani method (EToHSc) had better performance (RMSE = 0.52 mm·d-1), being suitable for predicting ETo in this region.

关键词： Reference Evapotranspiration Penman-Monteith Hargreaves-Samani Air Temperature

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