Use of Lysimeters to Assess Water Balance Components in Grassland and Atlantic Forest in Southern Brazil

Feltrin, Rafael Matias; Paiva, João Batista Dias de; Paiva, Eloiza; Meißner, Ralph; Rupp, Holger; Borg, Heinz

doi:10.1007/s11270-017-3423-4

Cited by 7 publications

(4 citation statements)

References 22 publications

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“…The grey lines are regression lines generated from the random error adding AET, whose statistics are presented in the right bottom of each panel. (Brümmer et al, 2012;Xiao et al, 2013;Zheng et al, 2016;Feltrin et al, 2017) or modeling results (Li et al, 2014;Li et al, 2018;Fang et al, 2020;Sun et al, 2021), while our results originally found that forests and grasslands had similar AET values after controlling MAP relating factors as the covariant. This phenomenon meant that forests and grasslands had comparable AET values under similar MAP, which may indicate that different ecosystem types under similar climate had comparable AET values.…”

Section: Discussionsupporting

confidence: 50%

Eddy covariance measurement-based differences in annual evapotranspiration between forests and grasslands in China

Fan

Sun²,

Zhu³

et al. 2022

Front. Plant Sci.

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Annual evapotranspiration (AET), the total water vapor loss to the atmosphere during a year, is a vital process of global water cycles and energy cycles. Revealing the differences in AET values and spatial variations between forests and grasslands would benefit for understanding AET spatial variations, which serves as a basis for regional water management. Based on published eddy covariance measurements in China, we collected AET values from 29 forests and 46 grasslands, and analyzed the differences in AET values and spatial variations between forests and grasslands in China. The results showed that forests had a significant higher AET (645.98 ± 232.73 kgH2O m-2 yr-1) than grasslands (359.31 ± 156.02 kgH2O m-2 yr-1), while the difference in AET values between forests and grasslands was not significant after controlling mean annual precipitation (MAP) relating factors. The effects of latitude and mean annual air temperature (MAT) on AET spatial variations differed between forests and grassland, while AET of forests and grasslands both exhibited increasing trends with similar rates along the increasing MAP, aridity index (AI), soil water content (SW), and leaf area index. The comprehensive effects of multiple factors on AET spatial variations differed between forests and grasslands, while MAP both played a dominating role. The effects of other factors were achieved through their close correlations with MAP. Therefore, forests and grasslands under similar climate had comparable AET values. AET responses to MAP were comparable between ecosystem types. Our findings provided a data basis for understanding AET spatial variation over terrestrial ecosystems of China or globally.

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Section: Discussionsupporting

confidence: 50%

Eddy covariance measurement-based differences in annual evapotranspiration between forests and grasslands in China

Fan

Sun²,

Zhu³

et al. 2022

Front. Plant Sci.

View full text Add to dashboard Cite

show abstract

“…The grey lines are regression lines generated from the random error adding AET, whose statistics are presented in the right bottom of each panel. (Brümmer et al, 2012;Xiao et al, 2013;Zheng et al, 2016;Feltrin et al, 2017) or modeling results Li et al, 2018;Fang et al, 2020;Sun et al, 2021), while our results originally found that forests and grasslands had similar AET values after controlling MAP relating factors as the covariant. This phenomenon meant that forests and grasslands had comparable AET values under similar MAP, which may indicate that different ecosystem types under similar climate had comparable AET values.…”

Section: Differences In Aet Valuessupporting

confidence: 48%

Water and Carbon Dynamics, Ecosystem Stability of Forest and Grassland in Response to Climate Change

2024

Frontiers Research Topics

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Frontiers is more than just an open access publisher of scholarly articles: it is a pioneering approach to the world of academia, radically improving the way scholarly research is managed. The grand vision of Frontiers is a world where all people have an equal opportunity to seek, share and generate knowledge. Frontiers provides immediate and permanent online open access to all its publications, but this alone is not enough to realize our grand goals. Frontiers journal seriesThe Frontiers journal series is a multi-tier and interdisciplinary set of openaccess, online journals, promising a paradigm shift from the current review, selection and dissemination processes in academic publishing. All Frontiers journals are driven by researchers for researchers; therefore, they constitute a service to the scholarly community. At the same time, the Frontiers journal series operates on a revolutionary invention, the tiered publishing system, initially addressing specific communities of scholars, and gradually climbing up to broader public understanding, thus serving the interests of the lay society, too. Dedication to qualityEach Frontiers article is a landmark of the highest quality, thanks to genuinely collaborative interactions between authors and review editors, who include some of the world's best academicians. Research must be certified by peers before entering a stream of knowledge that may eventually reach the public -and shape society; therefore, Frontiers only applies the most rigorous and unbiased reviews. Frontiers revolutionizes research publishing by freely delivering the most outstanding research, evaluated with no bias from both the academic and social point of view. By applying the most advanced information technologies, Frontiers is catapulting scholarly publishing into a new generation. What are Frontiers Research Topics?Frontiers Research Topics are very popular trademarks of the Frontiers journals series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area.

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“…Using remote sensing techniques, Andrade et al (2014) [30] measured evapotranspiration in grass cover areas of Brazil to be less than 1.5 mm d −1 between May and October. Feltrin et al, (2017) [31] used lysimeters and recorded 2.95 mm d −1 of evapotranspiration in a grass covered location in Rio Grande do Sul State, Brazil. The value of 2.25-2.43 mm d −1 was reported from a macroscale analysis for Mato Grosso State, Brazil [32].…”

Section: Discussionmentioning

confidence: 99%

Machine Learning-Based Prediction of Drainage in Layered Soils Using a Soil Drainability Index

2019

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Numerical modelling of water flow allows for the prediction of rainwater partitioning into evaporation, deep drainage, and transpiration for different seasonal crop and soil type scenarios. We proposed and tested a single indicator for drainage estimation, the soil drainability index (SDI) based on the near saturated hydraulic conductivity of each layer. We studied rainfall partitioning for eight soils from Brazil and seven different real and generated weather data under scenarios without crop and with a permanent grass cover with three rooting depths, using the HYDRUS-1D model. The SDI showed a good correlation to simulated drainage of the soils. Moreover, well-trained supervised machine-learning methods, including the linear and stepwise linear models (LM, SWLM), besides ensemble regression with boosting and bagging algorithm (ENS-LB, ENS-B), support vector machines (SVMs), and Gaussian process regression (GPR), predicted monthly drainage from bare soil (BS) and grass covered lands (G) using soil–plant–atmosphere parameters (i.e., SDI, monthly precipitation, and evapotranspiration or transpiration). The RMSE values for testing data in BS and G were low, around 1.2 and 1.5 cm month−1 for all methods.

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Use of Lysimeters to Assess Water Balance Components in Grassland and Atlantic Forest in Southern Brazil

Cited by 7 publications

References 22 publications

Eddy covariance measurement-based differences in annual evapotranspiration between forests and grasslands in China

Eddy covariance measurement-based differences in annual evapotranspiration between forests and grasslands in China

Water and Carbon Dynamics, Ecosystem Stability of Forest and Grassland in Response to Climate Change

Machine Learning-Based Prediction of Drainage in Layered Soils Using a Soil Drainability Index

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