Response to Referee #1 : Flooding-related increases in CO2 and N2O emissions from a temperate coastal grassland ecosystem

Gebremichael, Amanuel

doi:10.5194/bg-2016-522-ac1

Cited by 4 publications

(5 citation statements)

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“…However, we found that the daily mean soil Eh had only a weak positive correlation with daily CO 2 emissions ( r = .21) and similar to the results found by Gebremichael et al. (2017). Overall, regarding the relationship between the monthly average soil Eh at −30 cm and CO 2 fluxes, the soil Eh may help to interpret the dominant CO 2 flux from aerobic and anaerobic respiration, but this still needs to be investigated in further studies.…”

Section: Discussionsupporting

confidence: 91%

Investigating the controls on greenhouse gas emission in the riparian zone of a small headwater catchment using an automated monitoring system

Wang

Bogena

Süß

et al. 2021

Vadose Zone Journal

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Riparian zones as the transition zone between terrestrial and aquatic ecosystems play an important role in C and N cycling and greenhouse gas (GHG) emissions. As such, they may help to mitigate climate change but could also accelerate it, depending on the particular processes affected by changes in the hydrologic regime. Hydrological observations indicated frequent shallow groundwater in the riparian zone, especially near the stream and during the wet winter and spring seasons with consequently frequent occurrence of soil water saturation. The redox potential was mainly governed by the soil water regime: under water saturation conditions, the redox potential of the soil decreased and returned to the oxic state after soil drainage. We found that soil temperature and soil water content were the main drivers of the variations in CO2 fluxes, with highest CO2 emission during summer and the lowest emissions in the winter period (162.2–5.4 mg CO2–C m−2 h−1). The annual average daily N2O emission rate was low (2.3 μg N2O‐N m−2 h−1), with the highest average daily N2O emission in March as a result of low temperature and partial soil saturation after heavy precipitation events (37.5 μg N2O‐N m−2 h−1). Our study showed that continuous measurement of redox potential, soil temperature, and soil water content can improve the understanding of GHG emissions in riparian zones.

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Section: Discussionsupporting

confidence: 91%

Investigating the controls on greenhouse gas emission in the riparian zone of a small headwater catchment using an automated monitoring system

Wang

Bogena

Süß

et al. 2021

Vadose Zone Journal

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“…(2010). High soil moisture values limit aeration, hinder the decomposition process, and reduce CO 2 production (Gebremichael et al., 2017). Therefore, the lowest CO 2 emissions occur when the soil moisture in topsoil is greater than the field capacity, which is 0.33 m 3 m –3 for the soil of this study (J. Singh & Kumar, 2021).…”

Section: Resultsmentioning

confidence: 99%

Prediction of greenhouse gas emissions from agricultural fields with and without cover crops

Kotlar

Singh²

2022

Soil Science Soc of Amer J

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The significant contribution of greenhouse gas (GHG) emissions to global climate change and stratospheric ozone depletion has been calling the attention to assess the effect of agricultural management on them. Although machine learning (ML) methods have been widely used for the quantification of various inherent and dynamic soil properties, the accuracy of these techniques in the prediction of agricultural soil GHG emissions remains unclear. Therefore, this study aims at evaluating the performance of six different ML methods including simple linear regression, Cubist, support vector machines (SVM) with three different kernel functions, and random forest (RF) for the prediction of CO2 and N2O fluxes from plots managed with and without cover cropping. The input parameters include typical meteorological data as well as soil temperature and soil water content. Results show that the daily flux of CO2 is positively correlated with soil temperature and solar radiation and negatively with soil water content, whereas daily N2O flux is positively correlated with soil water content. For plots without cover cropping, Cubist and SVM with polynomial kernel function outperformed in the prediction of the testing dataset with RMSE of 14.18 kg ha–1 d–1 and 11.52 g ha–1 d–1 for daily CO2 and N2O emissions, respectively. Where cover cropping was considered, SVM with radial basis function and Cubist were the best models in the prediction of daily CO2 and N2O fluxes with respective RMSE values of 15.71 kg ha–1 d–1 and 14.12 g ha–1 d–1. Considering the ranking of the models for all scenarios and both GHGs, SVM with nonlinear kernel functions and Cubist method surpassed other ML techniques.

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“…Ecosystems are facing increasing climatic challenges (Hazeleger et al., 2015), including more frequent and severe floods (IPCC, 2018). Flood events compromise ecosystem functioning by reducing primary productivity (Reyer et al., 2013), disrupting nitrogen (N) and carbon (C) cycling (Sánchez‐Rodríguez et al., 2019) and may increase N losses via emissions of the potent greenhouse gas nitrous oxide (N 2 O; Gebremichael et al., 2017). In N‐fertilized grasslands, flooding has been shown to drastically increase N 2 O emissions compared to a non‐flooded control (Oram, van Groenigen, et al., 2020).…”

Section: Introductionmentioning

confidence: 99%

Plant traits of grass and legume species for flood resilience and N₂O mitigation

et al. 2021

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Response to Referee #1 : Flooding-related increases in CO2 and N2O emissions from a temperate coastal grassland ecosystem

Cited by 4 publications

References 0 publications

Investigating the controls on greenhouse gas emission in the riparian zone of a small headwater catchment using an automated monitoring system

Investigating the controls on greenhouse gas emission in the riparian zone of a small headwater catchment using an automated monitoring system

Prediction of greenhouse gas emissions from agricultural fields with and without cover crops

Plant traits of grass and legume species for flood resilience and N₂O mitigation

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Response to Referee #1 : Flooding-related increases in CO2 and N2O emissions from a temperate coastal grassland ecosystem

Cited by 4 publications

References 0 publications

Investigating the controls on greenhouse gas emission in the riparian zone of a small headwater catchment using an automated monitoring system

Investigating the controls on greenhouse gas emission in the riparian zone of a small headwater catchment using an automated monitoring system

Prediction of greenhouse gas emissions from agricultural fields with and without cover crops

Plant traits of grass and legume species for flood resilience and N2O mitigation

Contact Info

Product

Resources

About

Plant traits of grass and legume species for flood resilience and N₂O mitigation