the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
The Impact of Scoria-Filled Aeration Trenches on the N-cycle and Greenhouse Gases Emissions from a Clayey Soil
Abstract. Treated wastewater (TWW, i.e., treated effluents) is a growing water source. However, irrigation with TWW irrigation exacerbates oxygen deficiencies in the root zone, particularly in clayey soils. Coarse-textured filled trenches are used to ameliorate soil oxygen deficiencies in agriculture. This study aimed to investigate the impact of scoria-filled soil aeration trenches on nitrous oxide (N2O) and carbon dioxide (CO2) emissions from clayey soil irrigated with TWW. N2O and CO2 fluxes were measured in the field for three years, along with soil water content monitoring (10 and 35 cm depth) and porewater (30 cm depth) sampling. Irrigation and intense rain events led to transient (hours-long) near-saturation conditions in the clay soil. Concomitantly, the soil at the bottom of the trench remained saturated for prolonged periods, extending to days and even weeks. Nitrate was the dominant N-form and showed a seasonal trend with high concentrations (>50 mgL-1) between June and October. N2O fluxes were positively correlated with fertilizer applications, and fluxes from the trenches were higher throughout the year, with maximal differences during the winter. CO2 fluxes were higher from the trenches during the fertigation seasons yet lower during the winter. Simulation results of N2O fluxes showed higher fluctuation in the scoria-filled trenches following fertigation events. Further, it showed that filling the trench with finer medium, aimed to maximize the rate of water uptake by the trees' roots, increased the emissions maxima, dampening its minima. Overall, our study shows that aeration trenches may serve as N2O hotspots and that, during winter, they might be counterproductive. Further study is needed to find the optimal filling material that would maximize aeration yet minimize water build-up at the trench bottom.
- Preprint
(1172 KB) - Metadata XML
-
Supplement
(337 KB) - BibTeX
- EndNote
Status: final response (author comments only)
-
RC1: 'Comment on egusphere-2024-2140', Anonymous Referee #1, 15 Sep 2024
General comments:
This work examines the influence of aeration trenches in planted orchards, on the trends of N2O and CO2 emissions. I find the manuscript interesting, and the team has performed an extensive long year study to capture dynamics at various timescales. My main concern is whether the conclusions drawn are supported by the data. It seems that the authors are over-interpreting some of the results, or drawing conclusions that are not entirely supported by their experimental data, or there are analyses missing that would have been beneficial for their explanations.
Another issue that harms the reader’s flow and understanding, is the choice of symbols and colors in the figures, also, there are multiple grammar and formatting errors.
Below are some specific comments that I hope will help refine the manuscript.
Specific comments:
Line 43 – Why do N2O levels peak at 60-80% water capacity? It would be helpful to add an explanation.
Line 51 – Why has this been done specifically for planted orchards?
It would also be helpful to add a sentence on the knowledge gaps and what this study is contributing to previous knowledge.
Line 66 – please make sure there is a space between number and unit. 6m should be 6 m.
Line 237 – I am not sure there is any trend in the N2O values, especially when considering the error bars.
Fig 3 – Perhaps consider using different symbols or colors so the differences between treatments are easier to follow. This is particularly important in panel 3D – the black circles and squares look identical.
Fig 4 – The symbols are confusing. It seems like the exact same symbol is given for Ctrl and Irrigation.
Line 239 – The period in 2018 is not identical with that of 2019-2020. Fig. 4 shows the data starting from July 2018. How was the statistical analysis done for this comparison?
Fig. 5 – What are the A, B and C referring to? The figure caption does not seem to correlate with the data presented. Please correct this.
Line 278 – the differences in N2O emissions between 2018 and subsequent years is intriguing. I think the authors should provide a more thorough discussion on potential reasons for this difference. Insights into the pathways of N2O formation would be helpful to explain this difference in more detail.
Line 315 – it would have been interesting to monitor dissolved oxygen levels in this experiment, or other redox indicators, as this would give vital information on the presence and extent of anaerobic conditions.
Line 322 – Please use correct formatting of numbers and units.
Line 325 – I am not sure the results are indicative of nitrite buildup. Are the authors referring to the five points where NO2 levels were higher? (Also, this sentence should be rephrased as it does not read well)
Line 353 – Where is the weekly scale data shown? Also, there are multiple factors that will influence CO2 emissions, and I am not sure one can simply attribute CO2 trends to nitrate concentrations. Having data at least of DOC and DIC would have been vital to better understand C dynamics.
Line 356 – “aeration teaches”?
Citation: https://doi.org/10.5194/egusphere-2024-2140-RC1 -
AC1: 'Reply on RC1', Shahar Baram, 22 Sep 2024
Reply to general comments made by an anonymous reviewer (RC1):
General: This work examines the influence of aeration trenches in planted orchards, on the trends of N2O and CO2 emissions. I find the manuscript interesting, and the team has performed an extensive long-year study to capture dynamics at various timescales.
Comment 1: My main concern is whether the conclusions drawn are supported by the data. It seems that the authors are over-interpreting some of the results, drawing conclusions that are not entirely supported by their experimental data, or missing analyses that would have been beneficial for their explanations.
Reply – We thank the reviewer for his effort in reviewing the manuscript. The text was modified to highlight the soundness of the conclusions drawn from the presented data. We report data from 2.5 years of field measurements and use a 3D numerical model to link water flow, nutrient fate, and N2O emissions. Like with any research, we were limited by the analytical instrument and funds at our disposal. We decided to focus on continuous in-situ monitoring of the main drivers of soil emissions (N-forms concentrations, temp, water content). Hence we present that data and use it in our discussion to explain our observations. We think that the presented data and conclusions are accurate and novel. The research could have benefited from the use of 15N, though its application and interpretation in field studies are not always simple. Similarly, DOC analysis would have contributed. In any case, we don’t think that the use of such techniques would have changed the conclusions.
Comment 2: Another issue that harms the reader’s flow and understanding is the choice of symbols and colors in the figures. Also, there are multiple grammar and formatting errors.
Reply – Following the comment, all the grammar formatting errors were corrected, and the symbols and color schemes in the figures were changed to enhance clarity. (See Figs 2, 3, and 4 in the revised manuscript)
Specific comments:
Comment 3: Line 43 – Why do N2O levels peak at 60-80% water capacity? It would be helpful to add an explanation.
Reply – Based on the comment the text was modified to highlight the relation between WFPS denitrification and nitrification
- Peak N2O emissions typically occur when denitrification dominates at water-filled pore space (WFPS) values of 60-80% (Davidson et al., 2000), although varying soil types may exhibit significant emissions under different moisture conditions (Butterbach-Bahl et al., 2013; Zechmeister-Boltenstern et al., 2007). (line 43-44 in the revised manuscript)
- In clayey soils, good soil aeration status (WFPS < 0.6, was found to restrict denitrification and lower N2O emissions (Rochette et al., 2008). (line 45-46 in the revised manuscript)
Comment 4: Line 51 – Why has this been done specifically for planted orchards?
Reply – The word "mainly" was added to the soil to highlight the discussed practices are not specific to orchards (Line 53 in the revised manuscript). Since the soil in the tree line of orchards cannot be tilled, unlike in field crops, other aeration methods must be used in them such as aeration trenches and profile mixing.
Comment 5: It would also be helpful to add a sentence on the knowledge gaps and what this study is contributing to previous knowledge.
Reply – Thank you for the comment. A sentence was added to explain the knowledge gaps (Lines 54-55, in the revised manuscript), and this study's contribution (Line 60 in the revised manuscript)
Comment 6: Line 66 – please make sure there is a space between the number and the unit. 6m should be 6 m.
Reply – Thank you for noticing the typo. A space was added between the number and the abbreviated units of measurement, in all of the manuscript (Line 68 in the revised manuscript).
Comment 7: Line 237 – I am not sure there is any trend in the N2O values, especially when considering the error bars.
Reply – Based on the comment, a clarification was added to the text to indicate that the daily trend was not statistically significant. In any case, the fluxes were measured between 10 am and 2 pm and were thought to be representative of the daily flux (Lines 238-239 in the revised manuscript).
Comment 8: Fig 3 – Perhaps consider using different symbols or colors so the differences between treatments are easier to follow. This is particularly important in panel 3D – the black circles and squares look identical.
Reply – Following the comment the colors in Fig. 3D were changed (Tuff NO3-N), and the symbols enlarged.
Comment 9: Fig 4 – The symbols are confusing. It seems like the exact same symbol is given for Ctrl and Irrigation.
Reply – The legend was corrected. It is now easy to distinguish between the rain, irrigation, Ctrl, and Tuff.
Comment 10: Line 239 – The period in 2018 is not identical with that of 2019-2020. Fig. 4 shows the data starting from July 2018. How was the statistical analysis done for this comparison?
Reply – A t-test was used to compare all the emissions measured in a given month in every year. At each iteration, we only analyzed the differences between two similar months (e.g., July 2018 vs. July 2019, etc.). We also compared the cumulative emission for the same period between the two years (e.g., July-November 2018 vs. July-November 2019).
Comment 11: Fig. 5 – What are the A, B and C referring to? The figure caption does not seem to correlate with the data presented. Please correct this.
Reply – Thank you for noticing the mistake. Section (C) was deleted.
Comment 12: Line 278 – the differences in N2O emissions between 2018 and subsequent years are intriguing. I think the authors should provide a more thorough discussion of potential reasons for this difference. Insights into the pathways of N2O formation would be helpful to explain this difference in more detail.
Reply – As suggested, a possible explanation for the differences in N2O emissions between 2018 and subsequent years, was added (Lines 287-295 in the revised text).
Comment 13: Line 315 – it would have been interesting to monitor dissolved oxygen levels in this experiment, or other redox indicators, as this would give vital information on the presence and extent of anaerobic conditions.
Reply – We agree; it would have been great if we had data on the redox and/or oxygen availability in the topsoil at the site during N2O measurements. Based on the comment we cited the work done by a different group at the same site (Yalin et al., where both these parameters were measured (only in the control treatment) and indicated the formation of hypoxic conditions following TWW irrigation and rain events. (Lines 316 and 321-322 in the revised manuscript.
Comment 14: Line 322 – Please use the correct formatting of numbers and units.
Reply – All the numbers and units were corrected.
Comment 15: Line 325 – I am not sure the results are indicative of nitrite buildup. Are the authors referring to the five points where NO2 levels were higher? (Also, this sentence should be rephrased as it does not read well)
Reply – The sentence was modified to increase clarity and to indicate that nitrite buildup was only seen on some occasions in this study.
Comment 16: Line 353 – Where is the weekly scale data shown?
Reply – The data is shown in Fig. SI3B. A reference to that figure was added to the text (Line 356 in the revised manuscript).
Also, there are multiple factors that will influence CO2 emissions, and I am not sure one can simply attribute CO2 trends to nitrate concentrations. Having data at least of DOC and DIC would have been vital to better understand C dynamics.
Reply – We wish to highlight that N is just one factor that is being discussed. Please refer to the text (lines 349-363) where we suggest that the aeasonal CO2 emission was driven by:
- Soil temperature, (high emission during the summer (soil temp 27°C), and low emissions during the winter (soil temp 12°C) (Fig. SI4).
- Increased root activity (as suggested by plant physiology and CO2 assimilation values at the site; Nemera et al., 2020).
- Diurnal CO2 assimilation, and assimilates transport to the root system.
- N addition (Lu et al., 2011; Zhou et al., 2014).
Soil moisture was probably not the main driver as the soil remained moist year-round (WFPS >40%) and did not show a clear impact on soil respiration (Fig. 2).
We agree that DOC and/or DIC data would have contributed to our understanding of the C dynamics, yet like any research, we had limited funds and could not check these parameters.
Comment 17: Line 356 – “aeration teaches”?
Reply – Thank you for noticing the typo. It was corrected to "trenches" (Line 365 in the revised manuscript).
Citation: https://doi.org/10.5194/egusphere-2024-2140-AC1
-
AC1: 'Reply on RC1', Shahar Baram, 22 Sep 2024
-
RC2: 'Comment on egusphere-2024-2140', Anonymous Referee #2, 09 Oct 2024
Review for Baram et al.
The manuscript is interesting and performed work fits well into the scope of the journal. I think that the manuscript requires editing (clarity, language, and presentation) and clarification before it can be published.
Specific comments:
Abstract:
The abstract does not convey the work and results well. Use of adjectives is not advised in technical writing (e.g. “even weeks”). “Fertigation” term is not defined. Simulation results are hinting on use of numerical (or other) model but are pretty surprising since modeling is not mentioned in the “methods” of the abstract.
Introduction:
The writing is too ambiguous and vague and needs to be focused. LL25-30: “regions facing a scarcity…” authors mean “drylands”? LL 30-35: “These irrigation practices” Which? LL35-40: “such conditions” Which? N2O significant degrader - ?? N2O is causing O3 destruction not degradation. LL40: “These emissions” – again Which? L44: “varying soil types may exhibit….” – why not to be specific? Tell us what soil types and how soil types will affect emissions.
Between the second and the third paragraph the flow is broken – I think it needs attention; from what I understand authors mean: problem is luck of aeration => solution are trenches with coarse textured materials = these need better connection.
Methods:
Cumulative fluxes have to be interpolated across all measurement time for average fluxes calculation – when authors use averages, they discard a lot of information (Hoben, J.P., Gehl, R.J., Millar, N., Grace, P.R., Robertson, G.P., 2011. Nonlinear nitrous oxide (N2O) response to nitrogen fertilizer in on-farm corn crops of the US Midwest. Global Change Biology 17, 1140–1152.)
Results:
Figure 3 is difficult to assess – maybe to remove NO2? Do you really need it? It’s now well established that NO2 can accumulate in soils. LL 240-245 maybe your “not significant” results stemmed from way of calculation and analysis? Figure 4: beside typos in the axis’s titles “N2O-N” is correct N-N2O is not. In CO2 panel you report µgCO2 or C? Fig 5: how your simulation results of cumulative fluxes are correlated with cumulative fluxes calculated by linear interpolation?
LL270-285 – all this “hand waving” and speculations regarding microbial community structure and use of heterogeneity and temporal variability – maybe all this is due to not correct calculation of average N2O flux? And sampling scarcity?
LL287 – 10 ppb is standard sensitivity of well-maintained GC.
LL 292 – chamber dimensions are important – if you think that 40 cm diameter needed to be used – why haven’t you used it? I think that this point of discussion is quite weak.
In general, the discussion between lines 274 and 315 needs to be rewritten and restructured after corrected fluxes calculation.
LL 316 – sudden and undescribed in the methods (and elsewhere) introduction of the emission factors… and if already introduced make sense to calculate the EF for all orchard, why to speculate if you have numbers?
CO2 fluxes – CO2 fluxes difficult to partition and authors use too much assumptions to include the CO2 into overall scope of the manuscript.
LL 370-373: Too speculative even for the discussion.
Conclusion – will be changed once the rest will be reorganized and edited.
Citation: https://doi.org/10.5194/egusphere-2024-2140-RC2 -
AC3: 'Reply on RC2', Shahar Baram, 28 Nov 2024
Comment 1: The manuscript is interesting and performed work fits well into the scope of the journal. I think that the manuscript requires editing (clarity, language, and presentation) and clarification before it can be published.
Specific comments:
Comment 2: Abstract: The abstract does not convey the work and results well. Use of adjectives is not advised in technical writing (e.g. “even weeks”). “Fertigation” term is not defined. Simulation results hint at the use of numerical (or other) models but are pretty surprising since modeling is not mentioned in the “methods” of the abstract.
Reply: Following the comment the abstract was rewritten. We think that the corrected version conveys the work (simulation and field work) and results well.
"Treated wastewater (TWW) is increasingly used in agriculture to mitigate water scarcity, but its long-term application in clayey soils poses challenges, including oxygen deficiencies that enhance nitrous oxide (N2O) emissions. Aeration trenches filled with coarse materials, such as scoria gravel, are designed to improve root zone aeration. This study examines the impact of scoria-filled aeration trenches on N2O emissions from a commercial avocado orchard planted on clayey soil and drip irrigated with TWW. Over three years, N2O fluxes were monitored alongside soil water content and nitrogen dynamics. 3D numerical simulations were employed to assess the interactions between soil hydrology, nitrogen cycling, and emissions. Field data revealed that aeration trenches increased N2O emissions throughout the year, with peaks following fertigation events and during prolonged trench saturation in winter. Simulations indicated that replacing scoria with finer fill materials optimized for water uptake reduced peak emissions, yet remained higher than the emissions from the ambient clayey soil. Results highlight the dual role of aeration trenches in alleviating hypoxia while creating hotspots for N2O emissions. This study underscores the dual role of aeration trenches in improving root-zone aeration and exacerbating N2O emissions. The findings highlight the need for optimizing trench design, irrigation management, and nitrogen application to balance agronomic benefits with environmental sustainability in TWW-irrigated systems."
Comment 3: Introduction: The writing is too ambiguous and vague and needs to be focused. LL25-30: “regions facing a scarcity…” authors mean “drylands”? LL 30-35: “These irrigation practices” Which? LL35-40: “such conditions” Which? N2O significant degrader - ?? N2O is causing O3 destruction not degradation. LL40: “These emissions” – again Which? L44: “Varying soil types may exhibit….” – why not be specific? Tell us what soil types and how soil types will affect emissions.
Reply: Following the comment the introduction was rewritten. We tried to be as nonambiguous and vague and to be focused. As for some of the specific comments:
LL25-30: “regions facing a scarcity…” authors mean “drylands”? – Not only. There are regions in the world that face scarcity of freshwater availability (as seen in Europe in the last two years). Hence, we think that in this case, the general term is more accurate than limiting it to drylands.
Regarding the comment about L44: “Varying soil types may exhibit….” – why not be specific? Tell us what soil types and how soil types will affect emissions. We state in the line before that "Key factors influencing N2O emissions from soils include soil moisture, temperature, and nitrogen availability". These factors combined, along with microbial abundance, diversity, activity, and redox conditions, interact in complex ways that influence N2O emissions from soils. We, therefore, think the sentence should stay as it is.
Comment 4: Introduction: Between the second and the third paragraph, the flow is broken – I think it needs attention; from what I understand, the authors mean the problem is the lack of aeration => and the solution is trenches with coarse textured materials = these need a better connection.
Reply: The section was rewritten and now the connection between the paragraphs is more intuitive.
Comment 5: Methods: Cumulative fluxes have to be interpolated across all measurement time for average fluxes calculation – when authors use averages, they discard a lot of information (Hoben, J.P., Gehl, R.J., Millar, N., Grace, P.R., Robertson, G.P., 2011. Nonlinear nitrous oxide (N2O) response to nitrogen fertilizer in on-farm corn crops of the US Midwest. Global Change Biology 17, 1140–1152.)
Reply: Thank you for the comment. Average fluxes were calculated as suggested.
Comment 6: Results: Figure 3 is difficult to assess – maybe to remove NO2? Do you really need it? It’s now well established that NO2 can accumulate in soils.
Reply: Figure 3 was edited. We do think it is important to show the nitrite (NO2-) data. A) because there is a scarcity of nitrite data in porewater at field trials, especially in TWW irrigation. B) nitrite is an intermediated N form in nitrification and denitrification.
Comment 7: LL 240-245 maybe your “not significant” results stemmed from way of calculation and analysis? Figure 4: beside typos in the axis’s titles “N2O-N” is correct N-N2O is not. In CO2 panel you report µgCO2 or C?
Reply: Following the comment we reanalyzed all the data. Differences were found to be significant.
CO2 data was removed from the manuscript.
Comment 8: Fig 5: How your simulation results of cumulative fluxes are correlated with cumulative fluxes calculated by linear interpolation?
Reply: we thank the reviewer for the comment. This point was not addressed in the original manuscript. Following the comment, a section was added that describes the correlations between the cumulative fluxes of the simulation results and the cumulative fluxes calculated by linear interpolation (i.e., field measurements). One must note that the model was calibrated to the 2019 and 2020 data and not to the 2018 data, which greatly differed. Overall we got a very good fit (R2 > 0.90) between the cumulative flux estimated by the model and the cumulative fluxes calculated by linear interpolation. For both the Tuff and the clay soil (control) the model overestimated the fluxes by 1.18 to 1.25 (see Table SI7 which was added to the supporting information)
Comment 9: LL270-285 – all this “hand waving” and speculations regarding microbial community structure and use of heterogeneity and temporal variability – maybe all this is due to not correct calculation of average N2O flux? And sampling scarcity?
Reply: The results and discussion sections were rewritten. We tried to minimize “hand waving” and speculations regarding the data and its interpretation.
Comment 10: LL287 – 10 ppb is the standard sensitivity of well-maintained GC.
Reply: We agree with the reviewer's comment. In this section, we tried to highlight that by using real-time in-situ measurements with an FTIR that has the same sensitivity of well-maintained GC (± 10 ppb), we can minimize biases associated with extended closure periods, such as temperature fluctuations, saturation, non-linearity, and sample handling issues like leakage. As part of the rewriting, this part of the discussion was deleted.
Comment 11: LL 292 – Chamber dimensions are important – if you think that 40 cm diameter needed to be used – why haven’t you used it? I think that this point of discussion is quite weak.
Reply: We acknowledge that a 40 cm diameter chamber would have been ideal for the clay soil. Unfortunately, this was not known during the conceptualization of the study. Initially, we aimed to use the same chamber size for both treatments to minimize biases related to chamber size. At that time, there were no established guidelines on how to best represent emissions from drip lines. This work was subsequently undertaken by us, informed by the insights gained from this study.
Comment 12: In general, the discussion between lines 274 and 315 needs to be rewritten and restructured after corrected fluxes calculation.
Reply: The discussion sections was rewritten, following the fluxes calculations were corrected.
Comment 13: LL 316 – sudden and undescribed in the methods (and elsewhere) introduction of the emission factor and, if already introduced, makes sense to calculate the EF for all orchards; why speculate if you have numbers?
Reply: the method by which EF was calculated was added to the methods section in the revised text. It now says (lines 115-120): Cumulative N2O emissions per hectare were calculated only for the wetted area in the orchard. For the control treatment, this area equaled 14% of the orchard's surface area (0.1257 m2 wetted area per dripper times 11095 drippers = 1394 m2 ha-1). For the trench treatment, it equaled 10% of the orchard's surface area (2.1 m2 per tree times 476 trees per ha = 1000 m2 ha-1). For each year, wetted zone emission factors were determined by calculating the ratio between the mass of N2O-N emitted (kg ha−1) during the fertigation season (April-October), the subsequent winter (November-March), and their combined total, to the amount of nitrogen applied to the orchard during the fertigation season (kg N ha−1).
Comment 14: CO2 fluxes – CO2 fluxes are difficult to partition, and authors use too many assumptions to include the CO2 in the overall scope of the manuscript. And Comment 15: LL 370-373: Too speculative even for the discussion.
Reply: The CO2 data was removed from the manuscript
Citation: https://doi.org/10.5194/egusphere-2024-2140-AC3
-
AC3: 'Reply on RC2', Shahar Baram, 28 Nov 2024
-
RC3: 'Comment on egusphere-2024-2140', Anonymous Referee #3, 09 Oct 2024
The authors present a study with filled trenches in an irrigated orchard made to improve soil aeration and therefore to reduce soil GHG emissions.
This study could have been of great significance even if the obtained results did not validate initial hypotheses. But, in its present form, the manuscript suffers of too many basic errors and it can not be accepted for publication.
When starting the review, I have tried to get informations on the level of the measured GHG fluxes. In the main text, N2O fluxes are presented in ng N-N2O cm-2 min-1. I’ve tried to convert them in g N ha-1 d-1 and in g ha-1, as the authors in supplementary informations. The values I obtained are very higher than those proposed by the authors. I also observed that the equation presented line 93 seems not homogeneous, …
Similarly, I was also surprised by the unit used for presenting the simulation results (figure 5) . Results suggest very very low fluxes. In the MM section, I did not find neither the soil bulk density values nor the Dp ones.
I also observed problems with the presentation of WC (line 204, line 209), ….
At this stage, a more rigorous presentation of the data is clearly required before continuing the review process.
Citation: https://doi.org/10.5194/egusphere-2024-2140-RC3 -
AC2: 'Reply on RC3', Shahar Baram, 28 Nov 2024
Comment 1: This study could have been of great significance even if the obtained results did not validate initial hypotheses. But, in its present form, the manuscript suffers from too many basic errors, and it can not be accepted for publication.
Reply: We appreciate the reviewer’s constructive comments. The manuscript has undergone a major revision. We recalculated all the fluxes, corrected the units, and expanded the explanation and discussion to ensure coherence. However, we are uncertain about the reviewer’s comment, “…obtained results did not validate initial hypotheses.” Could you please clarify?
Comment 2: When starting the review, I have tried to get information on the level of the measured GHG fluxes. In the main text, N2O fluxes are presented in ng N-N2O cm-2 min-1. I’ve tried to convert them in g N ha-1 d-1 and in g ha-1, as the authors in supplementary information. The values I obtained are very higher than those proposed by the authors.
Reply. We thank the reviewer for pointing out the mistake with the units of the N₂O fluxes in Figures 4, 5, and SI3. We have corrected the values and changed the units in Figures 4 and SI3 to µg cm⁻² d⁻¹. Additionally, in the revised subsection 2.2 we have expanded the explanation of how fluxes were calculated based on the measured data (µL/(L sec)). We also clarified that the fluxes per hectare were calculated only for the wetted area in each treatment.
Figure 5 shows the simulation results, representing the average value from an area of 21 m², which corresponds to a single tree. Unlike the measured data, this area includes both the wetted and unwetted areas. Therefore, it has different units than Figure 4, which are mg tree⁻¹ day⁻¹.
the corrected section now reads: "
Gas fluxes (q) [µg cm-2 sec-1] were calculated based on the linear slope, representing the increase in gas concentration throughout a 4 to 8 min enclosure time (Eq. 1). The Pearson’s correlation coefficient (r2) was calculated for the linearity of the slope, and readings were accepted when r2 was >0.70.
Gas fluxes (q, µg cm⁻² s⁻¹) were calculated from the linear rate of concentration change (C, µL L-1) within the chamber over time (t, sec), accounting for chamber volume (V, cm3) and area (A, cm2), using the following equation:
where P is the ambient pressure (atm), R is the universal gas constant (82.057 cm3 atm mol-1oK-1), T is the temperature (oK), and Mw is the molecular weight of the gas (g mol-1).
To capture the temporal variability of N2O emissions following fertigation events, additional intensive sampling campaigns were conducted during the spring, summer, and fall seasons. N2O fluxes were measured daily for up to five days post-fertigation. Data from these campaigns, combined with literature values (Alsina et al., 2013; Baram et al., 2018; Garland et al., 2011; Kennedy et al., 2013; Schellenberg et al., 2012; Wolff et al., 2017; Zhang et al., 2016), were used to derive an exponential decay function (Flux = 0.927e-0.607DAF, where DAF = day after fertigation) to estimate daily fluxes on the days following fertilizer applications (Fig. SI2).
Due to the pulsed nature of the post-fertigation N2O flux, the use of linear interpolation between measurements, which is typically employed to calculate cumulative N2O flux in field studies, was not feasible. Accordingly, daily values for each chamber were obtained based on the decay function, and numerical integration between sampling times, following the methodology of Groenveld et al. (2020). In the control treatment N2O flux from the wetted zone around each dripper was calculated using equation 6 in Baram et al. (2018) (where rmax = 20 cm, and qmax = the measured flux). Linear interpolation between sample days (Hoben et al., 2011) was used for calculating N2O fluxes from the trench year-round and for the control during the winter. Results are presented as the average of the daily fluxes of the 4 individual chambers per treatment (Parkin & Kaspar, 2006). The average daily flux (µg-N2O–N cm−2 d−1) for each treatment was calculated by dividing the cumulative emission (per cm2) for that treatment by the sampling period. Intercomparison between seasonal (fertigation, winter) and annual cumulative emission trends was performed using the Kolmogorov-Smirnov test, while the comparison of cumulative emissions between treatments was performed by the Wilcoxon test (Osei-Yeboah et al., 2024).
Comment 3: I also observed that the equation presented line 93 seems not homogeneous, …
Reply. We thank the reviewer for noticing some typos. We corrected the following:
Line 93: "Gas fluxes (q) [g cm-2 sec-1]" were corrected to "Gas fluxes (q) [µg cm-2 sec-1]"
Line 96: the units of R, the gas law constant were changed from [0.08206 L atm mol-1oK-1] to [82.06 cm3 atm mol-1oK-1],
Comment 4: Similarly, I was also surprised by the unit used for presenting the simulation results (Figure 5). Results suggest very very low fluxes.
Reply. As stated in the reply to comment 2, we had a typo in the units for Fig. 5, and they were changed from µg m-2 d-1 to mg tree-1 d-1.
Comment 5: In the MM section, I did not find neither the soil bulk density values nor the Dp ones.
Reply. The soil bulk density was added to Table SI1 (1.2 g cm-3). The value of the potential denitrification rate (Dp)was added to the revised manuscript in line 180 (1.69 mg-N m-2 d-1).
Comment 6: I also observed problems with the presentation of WC (line 204, line 209), ….
Reply: In response to the reviewers' comments, the whole section was rewritten as follows:
" The volumetric water contents at depths of 10 and 35 cm in the scoria-filled aeration trench and in the clay soil (control) increased following irrigation and rain events (Fig. 2). In the clay soil rain (November through March) and irrigation (April through October) caused a sharp increase in water content at both 15 and 35 cm depths. In many instances, the water content approached saturation levels (WC = 0.6, WFPS = 100%), but these conditions only lasted for brief periods, typically just a few hours (Fig. 2B, D). A similar phenomenon occurred in the trench, impacted by irrigation frequency and rainfall intensity. Intensive rains resulted in short periods (hours) of saturation in the trench (WC = 0.38), while the clay beneath the scoria-clay interface (35 cm) remained saturated (WC = 0.6, respectively) for days and even weeks (Fig. 2D). Pulse irrigation (10 irrigations per day) kept the water content in the trench and in the clay under the scoria -clay interface at nearly constant values close to saturation (WC = 30±4% and 51±3%2, WFPS = 77±9% and 85±6%, respectively) (Fig 2B, C). In contrast, single daily irrigation caused fluctuations in water content, leading to brief periods of saturation (lasting hours) before both the scoria in the trench and the clay below it started drying (Fig. 2B, C)."
In addition, Figure 2 has been revised: In (2A) the colors were updated to emphasize the different treatments, while (2B) and (2C) have been adjusted to remove the winter data, which is now presented in a new figure (2D). Additionally, the caption has been modified for a clearer explanation of the different sites and data.
The new caption is: " Figure 2: (A) Yearly temporal dynamics of the volumetric water content measured by True TDR in the clay soil (Ctrl) and the Tuff trench (Tuff) at depths of 15 and 35 cm, along with the rain and irrigation events at that period. (B, C) Display the daily dynamics of volumetric water content at depths of 35 cm (B) and 15 cm (C) over two consecutive weeks. Irrigation in the tuff trench was applied in four pulses throughout the day (7 am to 2 pm) during June 2018 (shown by red triangles), or once daily at 7 am in June 2019 (indicated by yellow and orange triangles), while the control treatment received irrigation every other day. (D) Show the dynamics of volumetric water content in the Tuff trench (Tuff) and the clay soil (Ctrl) after a single rain event in February 2019. "Tuff 35 cm" represents the tuff-clay interface".
Citation: https://doi.org/10.5194/egusphere-2024-2140-AC2
-
AC2: 'Reply on RC3', Shahar Baram, 28 Nov 2024
Viewed
HTML | XML | Total | Supplement | BibTeX | EndNote | |
---|---|---|---|---|---|---|
178 | 50 | 41 | 269 | 21 | 7 | 9 |
- HTML: 178
- PDF: 50
- XML: 41
- Total: 269
- Supplement: 21
- BibTeX: 7
- EndNote: 9
Viewed (geographical distribution)
Country | # | Views | % |
---|
Total: | 0 |
HTML: | 0 |
PDF: | 0 |
XML: | 0 |
- 1