the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
| 30 Jan 2024
Soil organic carbon mineralization is controlled by the application dose of exogenous organic matter
Abstract. Substantial input of exogenous organic matter (EOM) may be required to offset the projected decline in soil organic carbon (SOC) stocks in croplands caused by global warming. However, information on the effectivity of EOM application dose in preserving SOC stocks is surprisingly limited. Therefore, we set up a 90-day incubation experiment with large soil volumes (sandy loam and silt loam) to compare the mineralization of EOM (13C-labelled ryegrass) and SOC as a function of three EOM application doses (0.5, 1.5, and 5 g dry matter kg-1 soil). In the sandy loam soil, the percentage of mineralized EOM was not affected by EOM dose, while SOC mineralization increased proportionally with increasing EOM dose (+49.6 mg C per g EOM). In the silt loam soil, the percentage of mineralized EOM decreased somewhat with increasing dose, while SOC mineralization increased at a higher rate than in the sandy loam soil (+117.2 mg C per g EOM). In both textured soils, increasing EOM dose possibly supplied energy for microbial growth and enzyme production, which in turn stimulated mineralization of native SOC (i.e. co-metabolism). Higher soil macroporosity at higher EOM doses in the silt loam soil could have contributed to sustaining aerobic conditions (indicated by soil Eh) and promoting SOC priming as shown by positive relationships between pore neck size classes 43–60, 60–100 and >300 μm and SOC priming, suggesting a new mechanism for understanding SOC priming. In sum, this experiment and our previous research suggest that EOM mineralization is mostly independent of EOM dose, but EOM dose modulates mineralization of native SOC. These findings tentatively indicate that using larger EOM doses could help preserve more of added EOM-C in silt loam soils, but longer-term confirmation in the field will firstly be required before we could draw any conclusion for soil C management.
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RC1: 'Comment on egusphere-2024-107', Anonymous Referee #1, 13 Feb 2024
The authors present the results of a laboratory study, in which the mineralization patterns of plant litter is investigated in two soils of different texture. The aim of the study is to investigate how different doses of plant litter may influence the mineralization rate and priming of the initial SOC.
The study is nicely written, easy to read and follow. The experiment itself is interesting and fits into the scope of the journal. However, and I am really sorry to say this, I see several major critic points that make the manuscript unsuitable for publication in my opinion:
- The authors investigate the mineralization of added OC and initial SOC and distinguish between them with a 13C label. This is valid to do so. However, I could not find any data on the native C concentration in the soil and the changes therein. It seems to me, that only respired C has been measured. By this, a calculation of the overall net C balance in the soils is impossible (and has not been done by the authors). This means that it is impossible to detect any C losses other than as CO2 (e.g. by methane, leaching, etc.). The priming effect seems to have quite an influence, but the supplementary materials show, that it is quite limited in time. The authors should therefore provide a clear balance (table, etc.) showing how much overall C can be added to the SOC by the various C inputs and whether the overall balance would be positive or negative. It is really necessary to show, how much of the overall external carbon ended up in the soil and how much the priming effect influenced the overall carbon storage in the soil. The fate of added OC and whether it is causing priming or SOC formation is currently a hot topic at the moment, although there is a big debate about its impact on the net C balance. Therefore, without this data I cannot see how the presented study adds any novel aspect to the current scientific knowledge.
- There is a quite similar study published by the same authors in the journal Biol. Fertil. Soils (2022). According to my understanding, this ealier study uses the same plant species and the same soils. The only difference I could find is the author’s explanation that the previous study was “sampled at different times in the field?” (L.426) and there were two levels of disturbance. It seems to me that this previous study covers the same aspects than the presented study, but is much more comprehensive and better explained. I am sorry to say, but I cannot really see the novel aspect of the presented manuscript. It seems to be rather a subchapter or preliminary study to the already published study.
- There is no information about the used soils and vegetation. The soil type, current vegetation or crops, and soil management, farming history (or at least the present use) should be provided. (The authors want to publish in a journal called “SOIL”.) Without this information, the discussion section cannot be evaluated, especially not the part about initial SOC quality and soil structure. It is not enough to give only soil texture, pH and some total elemental concentration. In addition, there is no information on the C input by the ryegrass. Is this input realistic for those soils under the respective management? Has other literature suggested that the concentration will induce priming in similar soils? Also, how big where the ryegrass pieces? Could they be incorporated in aggregates?
- The introduction and motivation of the study is based on very, very old SOC models from 1945. This is clearly not up to date. What about e.g., the AMG model (1999) or the roth-C model? I admit that they are also quite old, but they are at least still used and updated. The same goes for the literature on aggregation processes. Although these are fundamental aspects of soil science and it is therefore fine to cite the fundamental (and old) papers, they are also topics of current science and the knowledge has developed tremendously in recent years. In addition, the authors claim on several occasions that certain aspects have not yet been studied, while neglecting the existing literature on this. E.g., (a) (L.70) The authors claim that no general comparison of the size of organic residues and their decomposition has been done. This is simply not true, as there are several experiments as well as recent modelling studies on this. (b) (L.425) Mapping O2 availability in pores is indeed difficult. However, there are several studies trying to do this by combined approaches of µCT and modelling or micro-sensors. The authors should try to include this literature instead of suggesting that this has not been done. By not including it, one might fear that the authors are not aware about recent developments in research on soil structure, aggregation and C cycling.
Some smaller and more specific comments:- Soil redox potential: I don’t really understand why you expect anoxic conditions in an aerated soil adjusted to a water content of 55% water filled pore space? I understand that this might be the case in fine pores, but you can only rely on bulk soil measurements. Can you explain this in more detail?
- L.71: I don’t see why the general processes of decomposition should be different in the lab
- L.110: It is not correct to say that the “initial soil structure is intact” when the soil has been sieved to <10 mm. By this, the original soil structure is completely disrupted. The aggregates might be preserved, but they are only one part of the soil structure.
- The authors describe the study as a macrocosm study. This is not correct in my opinion. I would rather say that it is a microcosm or maybe even a mesocosm study, but never a macrocosm study because it is entirely in the laboratory.
- Pore size distribution: When were the pore sizes measured? At the beginning or end of the experiment?
- While I do not question the results of course, I am nevertheless surprised about the low total pore space and amount of coarse pores in the sandy loam. Usually a sandier texture is connected with more coarse pores. Could you please elaborate a little, why the situation could be like this in your soils?
- L.340: You discuss NO3- data. Where can this data be found?
- L.390: It is no news that SOC quality and texture influence SOM mineralization and priming. There are studies about that (which especially disentangle these processes)
- L.388: If you relate the effects on SOC quality, it is even more striking that you don’t even mention the crops of the fields and did not test any SOC quality parameters
- L.395: I would delete the whole paragraph. The authors mention themselves that they do not have data about repeated doses and the priming effect was very short-lived. Therefore, I cannot understand how you can recommend a certain soil carbon management under field conditions with repeated doses vs. one time application.
- L.412: You cannot discuss changes in the pore network with a one-time measurement. It is obvious that litter causes a coarser pore space. There is literature about that. You don’t even mention if the pore size measurement has been at the beginning or end of the experiment
- L.435: Although speculative, it is a genuinely very interesting result that the coarse pores and better aeration probably counterbalanced the low redox potential due to O2 consumption. If the paper is resubmitted, it would be nice to elaborate this discussion a bit more.
Citation: https://doi.org/10.5194/egusphere-2024-107-RC1 -
AC1: 'Reply on RC1', Orly Mendoza, 09 Jun 2024
Below, we provide a systematic and detailed point-by-point reply to the SOIL Editor’s and reviewers' comments. The comments and questions from the reviewers are intentionally left in bold in the reply section and our answers are in non-bold. Literal suggested excerpts added to the revised manuscript are in italics and quotes.
The authors present the results of a laboratory study, in which the mineralization patterns of plant litter is investigated in two soils of different texture. The aim of the study is to investigate how different doses of plant litter may influence the mineralization rate and priming of the initial SOC.
The study is nicely written, easy to read and follow. The experiment itself is interesting and fits into the scope of the journal. However, and I am really sorry to say this, I see several major critic points that make the manuscript unsuitable for publication in my opinion:
- The authors investigate the mineralization of added OC and initial SOC and distinguish between them with a 13C label. This is valid to do so. However, I could not find any data on the native C concentration in the soil and the changes therein. It seems to me, that only respired C has been measured. By this, a calculation of the overall net C balance in the soils is impossible (and has not been done by the authors). This means that it is impossible to detect any C losses other than as CO2 (e.g. by methane, leaching, etc.). The priming effect seems to have quite an influence, but the supplementary materials show, that it is quite limited in time. The authors should therefore provide a clear balance (table, etc.) showing how much overall C can be added to the SOC by the various C inputs and whether the overall balance would be positive or negative. It is really necessary to show, how much of the overall external carbon ended up in the soil and how much the priming effect influenced the overall carbon storage in the soil. The fate of added OC and whether it is causing priming or SOC formation is currently a hot topic at the moment, although there is a big debate about its impact on the net C balance. Therefore, without this data I cannot see how the presented study adds any novel aspect to the current scientific knowledge.
We understand the reviewer’s comment in the sense that a balance between C inputs and outputs should be presented. We have now done this and added the inputs (C added with exogenous organic matter), initial native SOC contents, and mineralization of EOM-C and native SOC. We have also included the relative contribution of priming to overall native SOC mineralization, and calculated the C balance. These results are presented in Table C1 in the supplementary materials and a discussion has been modified/added as follows: “As SOC priming was thus rather short-lived, this allows careful projections for the relevance of EOM dose responses on priming in the overall SOC balance, which considers EOM and SOC mineralized as compared to added and initially present, respectively. This balance proved negative or close to zero for the silt loam soil and the low EOM dose in the sandy loam soil. In other words, C mineralization exceeded the added C dose with eventual net loss of C vs. initially present as SOC and added via EOM. This result is remarkable at first sight but is explained by the very high observed SOC mineralization of 3-9% of SOC, a situation typical for lab incubation studies that is not met in the field, which in the area where soil was collected would amount to 1-3% of SOC being mineralized across the course of an entire year. Hence, we may only relatively compare the net C balance of the here used EOM dose scenarios. The net C balance was also suggested to differ with EOM dose in both soils, it was in particular lower when EOM was added at low dose than when no EOM was added at all. The slowed relative EOM mineralization in the silt loam soil that was not seen in the sandy loam soil did not result in an improved net C balance as its impact was counteracted by a relatively stronger SOC priming response to EOM dose in the silt loam than in the sandy loam soil. Priming contributed from around 4% up to 40% of to this overall large SOC mineralization going from low to high application doses in both soils (Table C1) and was thus certainly a non-negligible term in the net C balance. The contrast in C balance per unit of EOM dose followed the order: intermediate > high > low doses, we thus might tentatively conclude that adding EOM at low dose is unfavourable from a C balance perspective.”
Table C1. Soil carbon balance between SOC present initially and EOM-C input and outputs (mineralization of EOM and SOC) in the two soils used in the incubation experiment. Averages of three replicates with standard errors are shown.
We did not measure SOC contents at the end of the incubation period, because it is simply impossible to do this with sufficient accuracy to detect (small) changes in SOC in short term experiments. We estimated the net C balance at the end of the experiment using the C inputs and outputs. Leaching losses of OC in this experiment can be excluded given that our setup was sealed at the bottom. C losses by methanogenesis can be excluded given the relatively low water-filled pore space i.e. 55%, and the resulting aerobic conditions (redox potential >300 mV, measured throughout the incubation period in both soils). Supporting this, we even discarded denitrification as a main process not only because of the oxic redox potentials observed in our experiments but also because of the high nitrate concentrations with high application doses still present at the end of the incubation period (L. 340 of the previous manuscript).
- There is a quite similar study published by the same authors in the journal Biol. Fertil. Soils (2022). According to my understanding, this ealier study uses the same plant species and the same soils. The only difference I could find is the author’s explanation that the previous study was “sampled at different times in the field?” (L.426) and there were two levels of disturbance. It seems to me that this previous study covers the same aspects than the presented study, but is much more comprehensive and better explained. I am sorry to say, but I cannot really see the novel aspect of the presented manuscript. It seems to be rather a subchapter or preliminary study to the already published study.
We respectfully disagree with the comment concerning the novelty of the study in relation to a previous study published in Biology and Fertility of Soils. Our previously published study focused on soil structure formation as created by soil sieving and application dose. The scale of that experiment was small. The present manuscript wanted to explicitly test how non-refined plant residues and much larger soil masses (we used 6.5 to 7 kg dry soil representing 23 times larger soil mass as compared to our previous study) influence C mineralization. Indeed, the contact between plant residues and soil was hypothesized to have stronger effects on the formation of C-hotspots caused by the residue chunks (instead of more homogeneous distribution of finely chopped residues as in the previous published work) causing potentially a local limitation of O2 which could affect EOM and SOC mineralization. Following the results of our previous work, in the present manuscript, we thus attempted to create conditions that resemble the situation in the field, in order to gain a more realistic understanding of the application dose effect on the mineralization of exogenous organic matter and native SOC. We also refer to the appreciation by the second reviewer of the novelty and potential impact of our study. However, we do recognize that the novelty could have been better introduced, and we have now further explicitly clarified this novelty in the Introduction section as follows: “To account for these shortcomings and to obtain more realistic understanding of the application dose effect on EOM and SOC mineralization as it might occur in the field, we aimed to study decomposition of large pieces of 13C-labelled ryegrass residue in large relatively less disturbed soil cores. Consequently, as compared to Mendoza et al. (2022b) and Shahbaz (2017a), the soil masses used in a newly designed soil incubation experiment were about 23 times and 70 times larger, the soils were only coarsely sieved (<10 mm), the added crop residues were not chopped. Concentration of added ryegrass dose to non-refined ryegrass pieces is expected to yield a stronger local impact on soil structure and the concentration of C mineralization into such relative hotspots might more readily result in local depletion of O2 with potential negative impacts on EOM and SOC mineralization as compared to previous work on this topic.”
- There is no information about the used soils and vegetation. The soil type, current vegetation or crops, and soil management, farming history (or at least the present use) should be provided. (The authors want to publish in a journal called “SOIL”.) Without this information, the discussion section cannot be evaluated, especially not the part about initial SOC quality and soil structure. It is not enough to give only soil texture, pH and some total elemental concentration. In addition, there is no information on the C input by the ryegrass. Is this input realistic for those soils under the respective management? Has other literature suggested that the concentration will induce priming in similar soils? Also, how big where the ryegrass pieces? Could they be incorporated in aggregates?
We agree that the additional information required by the reviewer is important for the overall evaluation of the results. The soil type, current and past crops have now been added to table 1 of the manuscript.
Table 1. Physicochemical characteristics, and current and past crops of the two selected topsoils used in the soil incubation experiment. Averages of three replicates with standard errors are shown for pH, and measurements of two replicates are shown for Alox, Feox, P, Ca, K, and Mg.
SOC quality might have some effect on structure formation, however, digging a bit deeper into the effect of SOC quality on structure formation would require a dedicated experimental setup with more than just two soils and this also moves us a bit too far from our hypotheses. In the submitted manuscript, we already mentioned that differences in soil priming across both soils “more likely results from a combination of differences in SOC quality and soil physical structure between both textures, but such effects are difficult to discriminate from one another.” (L.403-404). In lines 101-102 of the previous version of the manuscript, we already included the C content of the ryegrass: “After 8 weeks, ryegrass was cut with a sickle and had a resulting δ13C of +51±5.4 ‰ (n = 6), C content of 439.3±5.4 g kg-1, and C:N of 10±0.5”. Also, in lines 114-116 we previously already included the following sentence “These applications were used as representative for rather low, intermediate, and high EOM doses commonly applied in agricultural practices under field conditions, and they correspond to 1.75, 5.25, and 17.5 Mg ha-1 assuming a depth of 25 cm and a bulk density of 1.4 g cm-3.” Concerning the reviewer’s question to report on similar “dose studies” and priming of native SOC mineralization; we did already discuss such studies (e.g. Shahbaz et al. 2017a, Liu et al. 2017, Xiao et al. 2015 and Guenet et al. 2010) in lines 362-373 of the previous manuscript. We propose to keep our formulation on these aspects.
Concerning the reviewer’s question to specify the size of the ryegrass pieces: they were not homogenously cut, we applied non-refined ryegrass with largest pieces between 10-15 cm long. It is not possible to prove whether or not the added residue was partially incorporated in aggregates, but we do not discard that when EOM was added at 5 g kg-1 in the silt loam soil some degree of physical protection might have occurred given the lower relative degradation at this highest input. Confirmation of this remains necessary, as already explained in L361-365 of the previous manuscript.
- The introduction and motivation of the study is based on very, very old SOC models from 1945. This is clearly not up to date. What about e.g., the AMG model (1999) or the roth-C model? I admit that they are also quite old, but they are at least still used and updated. The same goes for the literature on aggregation processes. Although these are fundamental aspects of soil science and it is therefore fine to cite the fundamental (and old) papers, they are also topics of current science and the knowledge has developed tremendously in recent years. In addition, the authors claim on several occasions that certain aspects have not yet been studied, while neglecting the existing literature on this. E.g., (a) (L.70) The authors claim that no general comparison of the size of organic residues and their decomposition has been done. This is simply not true, as there are several experiments as well as recent modelling studies on this. (b) (L.425) Mapping O2 availability in pores is indeed difficult. However, there are several studies trying to do this by combined approaches of µCT and modelling or micro-sensors. The authors should try to include this literature instead of suggesting that this has not been done. By not including it, one might fear that the authors are not aware about recent developments in research on soil structure, aggregation and C cycling.
We propose then to delete the sentence and reference to the model by Hénin and Dupuis 1945. We do want to point out that in fact the Roth-C model and DNDC models were already referred in the introduction (L.40-41). We have now included the suggested AMG model (and actually this simple model is also based on the Hénin and Dupuis formalism, and it also follows first-order kinetics (L.40)).
Concerning the comment on the paragraph starting at L. 70 of the previous manuscript, namely that the relation between EOM size and its mineralization has already been widely studied, we agree. However, as mentioned a few times in this paragraph, here we refer specifically to EOM application dose experiments. In these existing studies on application dose only simple molecules such as glucose were used, or very strongly refined exogenous organic matter, which is not at all representative for field conditions. So that is why we opted to use non-refined plant material as a closer approximation to field conditions and this, to our knowledge, has not been included in experiments investigating the EOM application dose effect on C dynamics.
Regarding L.425, we appreciate this comment. Previously, we did not want to elaborate more on this hypothesis, but following the reviewer’s comment, we have now expanded this and added a couple of references as follows in L442-445: “As a first step, modelling of soil O2 transport in 3D soil models based on soil pore models derived from CT volumes could provide further insights in the link between SOC mineralization and pore structure (Schlüter et al., 2022), but such an approach then needs to be validated, e.g. through integration of O2 microsensors with pore metrics derived from X-Ray µCT, as recently demonstrated by Rohe et al. (2021).”
Some smaller and more specific comments:
Soil redox potential: I don’t really understand why you expect anoxic conditions in an aerated soil adjusted to a water content of 55% water filled pore space? I understand that this might be the case in fine pores, but you can only rely on bulk soil measurements. Can you explain this in more detail?We agree that a high Eh measured by larger Pt-electrodes does not necessarily exclude occurence of local O2 depletion and demand for alternative electron acceptors. A low bulk soil Eh on the other hand does point at likewise local lower Eh and hints towards O2 shortage impeding mineralization. There was a clear and consistent difference between the sandy loam and silt loam soil which we deem sufficiently noteworthy, in spite of limitations to using larger Eh electrodes. In any case, we are aware that collected Eh data need to be interpreted with care. We feel that we already sufficiently nuanced our Eh data in the original discussion text, wherein in fact a plea was made to investigate further using microsensors. We propose to remain with the original formulation.
- L.71: I don’t see why the general processes of decomposition should be different in the lab.
We explained right after L.71 that in laboratory incubations as the residues are usually finely chopped, a larger residue surface area is in contact with soil mineral surface and more of the added EOM could end up physically protected in small aggregates. Both conditions probably render such lab incubations little representative of field conditions. We already dedicated an entire paragraph to explain these points (L.65-80) and do not propose to further expand on this.
- L.110: It is not correct to say that the “initial soil structure is intact” when the soil has been sieved to <10 mm. By this, the original soil structure is completely disrupted. The aggregates might be preserved, but they are only one part of the soil structure.
Indeed, and we propose to reformulate that sentence to focus on preservation of soil aggregation as the original idea.
- The authors describe the study as a macrocosm study. This is not correct in my opinion. I would rather say that it is a microcosm or maybe even a mesocosm study, but never a macrocosm study because it is entirely in the laboratory.
We propose to change the term “macrocosm” by “mesocosm” throughout the manuscript.
- Pore size distribution: When were the pore sizes measured? At the beginning or end of the experiment?
We measured pore neck size distribution on day 45 of the experiment. We would point that out now.
- While I do not question the results of course, I am nevertheless surprised about the low total pore space and amount of coarse pores in the sandy loam. Usually a sandier texture is connected with more coarse pores. Could you please elaborate a little, why the situation could be like this in your soils?
Probably because the silt loam soil led to more macro and microaggregation where at the same time fine pores (within microagreggates) and coarse pores (inter macroaggregates) were formed in the silt loam soil. However, elaborating more on this would be too speculative given that we do not have data on aggregation to support this hypothesis. Moreover, our focus is rather on the effect of application dose and its effect on pore size distribution and C mineralization, i.e. the aspects that have been discussed in our manuscript.
- L.340: You discuss NO3- data. Where can this data be found?
It is presented in figure 6 (L.315), we also propose to clarify the y-axis title inserting NO3--N. We also dedicated a paragraph to it in the methodology section in the previous manuscript (L.175-180).
- L.390: It is no news that SOC quality and texture influence SOM mineralization and priming. There are studies about that (which especially disentangle these processes)
We agree that there are plenty of studies on the effect of soil texture and SOC mineralization. However, to the best of our knowledge, there are not many studies where EOM application dose has been studied in combination with soil texture. The studies that we have come across concerning application dose and priming of SOC are just mentioned and discussed in the previous paragraph (L362-370).
- L.388: If you relate the effects on SOC quality, it is even more striking that you don’t even mention the crops of the fields and did not test any SOC quality parameters.
We understand the comment from the reviewer. We have included the crop history of the fields; however, logistically it would have been a bit difficult to measure SOC quality when there were many other variables measured already to support our hypotheses.
- L.395: I would delete the whole paragraph. The authors mention themselves that they do not have data about repeated doses and the priming effect was very short-lived. Therefore, I cannot understand how you can recommend a certain soil carbon management under field conditions with repeated doses vs. one time application.
We agree that our reflection on consequences of splitting OM-doses across multiple applications needs to be tested experimentally, as also stated as such in the discussion – which is also why we kept it brief. We do think that this is a very relevant point to raise given that it concerns management of OM on the majority of agricultural land. We would thus prefer to keep our current formulation but leave it up to the editor to decide.
- L.412: You cannot discuss changes in the pore network with a one-time measurement. It is obvious that litter causes a coarser pore space. There is literature about that. You don’t even mention if the pore size measurement has been at the beginning or end of the experiment
We already clarified in the original manuscript that the pore neck size distribution was measured at day 45 of the experiment (L.206). Measuring it in the middle of the incubation appeared to be a good choice given that priming of SOC occurred mainly during the first three weeks of incubation (Fig. B1) and EOM mineralization occurred mainly before 45 days, especially in the silt loam soil (Fig. A1). The referee is of course right in that changes in soil pore network cannot be detected with a single measurement in time. We thus propose to reformulate any mention of ‘'changes’ in soil pore size distribution into relative differences compared to the unamended control soil throughout the manuscript.
- L. 435: Although speculative, it is a genuinely very interesting result that the coarse pores and better aeration probably counterbalanced the low redox potential due to O2 consumption. If the paper is resubmitted, it would be nice to elaborate this discussion a bit more.
We propose to complement the original discussion on this aspect with the sentence “A more systematic approach combining microscale soil Eh measurements, soil pore network structure and soil respiration, would enable confirmation of this potentially interesting link between Eh and porosity, and their resulting effect on SOC dynamics.”
- L.71: I don’t see why the general processes of decomposition should be different in the lab.
Citation: https://doi.org/10.5194/egusphere-2024-107-AC1 - The authors investigate the mineralization of added OC and initial SOC and distinguish between them with a 13C label. This is valid to do so. However, I could not find any data on the native C concentration in the soil and the changes therein. It seems to me, that only respired C has been measured. By this, a calculation of the overall net C balance in the soils is impossible (and has not been done by the authors). This means that it is impossible to detect any C losses other than as CO2 (e.g. by methane, leaching, etc.). The priming effect seems to have quite an influence, but the supplementary materials show, that it is quite limited in time. The authors should therefore provide a clear balance (table, etc.) showing how much overall C can be added to the SOC by the various C inputs and whether the overall balance would be positive or negative. It is really necessary to show, how much of the overall external carbon ended up in the soil and how much the priming effect influenced the overall carbon storage in the soil. The fate of added OC and whether it is causing priming or SOC formation is currently a hot topic at the moment, although there is a big debate about its impact on the net C balance. Therefore, without this data I cannot see how the presented study adds any novel aspect to the current scientific knowledge.
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RC2: 'Comment on egusphere-2024-107', Julia Schroeder, 28 Feb 2024
The authors of the manuscript SOIL_2024-107 investigated how the amount of exogenous organic matter (EOM) added to two different textured soils (sandy loam, silt loam) affects its decomposition and priming of SOC using 13C-labelled ryegrass. The authors expected that EOM mineralisation at high dose would be limited in silt loam due to lower O2 availability in microbial hotspots (strong consumption), whereas this limitation would not occur in sandy loam. This would result in an asymptotic increase in EOM mineralisation with dose in silt loam, and a linear increase in sandy loam. However, effects of EOM dose on soil structure may counteract this limitation. The focus of this study lies on potential feedback mechanisms of EOM addition on decomposition by effects on soil structure (pore volume) and thus O2 availability.
The authors find that EOM mineralisation increases with EOM dose, where EOM mineralisation rate is decreasing at high dose in silt loam, but not in sandy loam, which would indicate a limitation of EOM in fine-textured soils as hypothesised. However, they misinterpret their results in the latter case (see comment major concerns 1). SOC priming was found to be higher at higher EOM dose, with larger stimulation in silt loam (see comment major concern 2). They find that EOM addition increases the pore volume in silt loam but not in sandy loam, while Eh (indicator for redox-potential and thus O2 availability) was not altered by EOM dose in none of the soils. They conclude that the effect of EOM dose on macroporosity in silt loam had stimulated SOC priming at high dose. MBC was increased in both soils with EOM dose, but the authors state that the per unit increase in MBC was higher at lower EOM dose in both soils. Again, this is in my opinion a very brave interpretation of the non-significant results (see comment major concern 3). Taken together, they conclude that the same amount of EOM applied in several smaller doses of EOM would result in less C losses due to mineralisation as compared to the same dose being applied once.
The investigated research question is of broad interest and adds to the current discussions. Understanding how application dose will affect the fate of C entering the soil, has also implications for agricultural recommendations.
As reviewer #1 indicated, the authors published similar work in Biology and Fertility of Soils. The submitted manuscript, however, presents a new laboratory experiment with a new focus and research question, emerging from the results of the previous study. Therefore, it is novel. However, I do agree that the authors should better introduce the novelty of this study in comparison to Mendoza et al. 2022b (e.g. 3 doses instead of 2, microbial biomass determined, larger ryegrass fragments, only <10mm sieved).
Overall, the writing style is clear and easy to follow. But introduction could be further improved to clearly point out the novelty of this study and logically introduce the hypotheses. Adding a figure showing expected relationships between EOM mineralisation and dose for silt loam (asymptotic) and sandy loam (linear) will help to clarify the still somewhat confusing hypotheses. I highly appreciated the detailed M&M section, which allowed to follow the experimental design and indicated in most cases the reasoning behind decisions. However, reasoning for why different statistical approaches were used is lacking and should be added during revision. I have several major concerns regarding the interpretation and thus discussion of the results.
Major concerns:
- Large parts of the discussion are based on the interpretation of Figure 1, that the proportion of EOM mineralised decreases exponentially with increasing EOM dose. However, this conclusion cannot be made based on the study results. The authors find that EOM mineralisation increases linearly with EOM dose (Fig 1 top). The proportion of EOM C mineralised over EOM dose (shown in Fig 1 bottom) is basically the slope of EOM mineralisation over EOM dose (shown in Fig 1 top). If EOM mineralisation is linear, the slope of this function cannot decrease. Furthermore, while statistical metrics indicate high significance of the regression in Fig 1 top (i.e. the linear relationship between EOM mineralisation and EOM dose seems very solid), the relationship in Fig 1 bottom between the proportion of EOM mineralised and EOM dose is only marginally significant and should be therefore treated even more carefully. Therefore, the results only allow to conclude that EOM mineralisation increases proportionally with EOM dose in both soils, with different proportions of EOM being mineralised between sandy loam and silt loam. Reasoning should be given, why you decided to include only 3 different application doses instead of 4 to 5 equally distributed EOM doses. Including only 3 doses, where two are relatively close and one is far above the two other doses on the x-axis, makes it IMO impossible to find differences between linear and asymptotic fit and thus test your hypothesis of limitation of EOM mineralisation at high dose in silt loam.
- SOC priming is displayed as absolute increase in SOC mineralisation as compared to the non-amended control. Instead of showing this absolute priming in Fig 2 bottom, which is redundant with Fig 2 top (normalising for y-intercept; this is why statistics are almost the same), you should display the proportion of SOC priming as relative to the total cumulative CO2-C. Only this would allow to compare how EOM dose affects priming between both soils. The comparison between absolute priming is misleading, since absolute mineralisation differs between both soils, with higher rates in silt loam. In the end, SOC priming might just be proportional to EOM mineralisation. Therefore, the discussion on why SOC priming is stimulated to a larger extent in silt loam as in sandy loam needs revision.
- While results are mostly displayed as cumulative results after 90-days incubation, microbial biomass was only measured once after 45 days. The reasoning for this decision is lacking in the M&M. Also, this needs consideration in combined interpretation of EOM dose effects on MBC (45-days) and EOM mineralisation and priming (90-days). Also the information is lacking in the Fig 3 caption. However, my major concern regarding MBC is the interpretation of Fig 3 bottom. First, the unit is missing. It is unclear from looking at the figure and reading its caption how EOM-mediated MBC increase was calculated. It is not based on 13C-incorporation. I assume it is calculated similar to SOC priming, i.e. normalising for the y-intercept. On the other hand, this would not explain the low values at 5 g dose. Did you divide the delta MBC (to non-amended control) by EOM dose? Second, the relationship is non-significant. Therefore, the conclusion that the increase in MBC per unit EOM added decreases with EOM dose is not valid.
General comments:
Statistics
- Indicate reasoning for why different tests were used. Did you use an ANOVA to test for significant effects of dose x lime in your GLM? In lines 212-214 you state that you tested for normal distribution of residuals. However, with GLM residuals do not need to be normally distributed. Revise this section to clarify.
Figures
- Display uncertainties, i.e. confidence intervals. Remove redundant figures (see comments major concerns)
Figure 5/pore neck sizes
- In general, you missed to clearly indicate in the introduction in which pore neck sizes you expected changes to occur, and what would be the implication of such changes. Figure 5 is hard to interpret. It is unclear that EOM (g kg-1) is y-axis label. Different colours are hard to see and I would prefer to have one simple figure on total pore volume changes over having several pore neck sizes. Consider changing axes and aggregating all fractions to display total pore volume differences with error bars. If you are more interested in showing the distribution of pores normalise the total pore volume to better visualise the shift in proportions.
Figure 7
- Needs revision due to major concerns regarding the interpretation of your results.
Conclusion:
The study fits the scope of the journal and presents novel results, adding a piece to the puzzle in understanding C dynamics in soil. We learn that EOM mineralisation does increase linearly with its application and that SOC priming seems to linearly correlate with EOM mineralisation. Regarding the major concerns I have with the interpretation of the results, I recommend that the manuscript can only be accepted after a major revision. Given that I expect the manuscript to undergo large changes during its major revision, I will not add line to line comments to this version.
Citation: https://doi.org/10.5194/egusphere-2024-107-RC2 -
AC2: 'Reply on RC2', Orly Mendoza, 09 Jun 2024
Below, we provide a systematic and detailed point-by-point reply to the SOIL Editor’s and reviewers' comments. The comments and questions from the reviewers are intentionally left in bold in the reply section and our answers are in non-bold. Literal suggested excerpts added to the revised manuscript are in italics and quotes.
The authors of the manuscript SOIL_2024-107 investigated how the amount of exogenous organic matter (EOM) added to two different textured soils (sandy loam, silt loam) affects its decomposition and priming of SOC using 13C-labelled ryegrass. The authors expected that EOM mineralisation at high dose would be limited in silt loam due to lower O2 availability in microbial hotspots (strong consumption), whereas this limitation would not occur in sandy loam. This would result in an asymptotic increase in EOM mineralisation with dose in silt loam, and a linear increase in sandy loam. However, effects of EOM dose on soil structure may counteract this limitation. The focus of this study lies on potential feedback mechanisms of EOM addition on decomposition by effects on soil structure (pore volume) and thus O2 availability.
The authors find that EOM mineralisation increases with EOM dose, where EOM mineralisation rate is decreasing at high dose in silt loam, but not in sandy loam, which would indicate a limitation of EOM in fine-textured soils as hypothesised. However, they misinterpret their results in the latter case (see comment major concerns 1). SOC priming was found to be higher at higher EOM dose, with larger stimulation in silt loam (see comment major concern 2). They find that EOM addition increases the pore volume in silt loam but not in sandy loam, while Eh (indicator for redox-potential and thus O2 availability) was not altered by EOM dose in none of the soils. They conclude that the effect of EOM dose on macroporosity in silt loam had stimulated SOC priming at high dose. MBC was increased in both soils with EOM dose, but the authors state that the per unit increase in MBC was higher at lower EOM dose in both soils. Again, this is in my opinion a very brave interpretation of the non-significant results (see comment major concern 3). Taken together, they conclude that the same amount of EOM applied in several smaller doses of EOM would result in less C losses due to mineralisation as compared to the same dose being applied once.
The investigated research question is of broad interest and adds to the current discussions. Understanding how application dose will affect the fate of C entering the soil, has also implications for agricultural recommendations.
As reviewer #1 indicated, the authors published similar work in Biology and Fertility of Soils. The submitted manuscript, however, presents a new laboratory experiment with a new focus and research question, emerging from the results of the previous study. Therefore, it is novel. However, I do agree that the authors should better introduce the novelty of this study in comparison to Mendoza et al. 2022b (e.g. 3 doses instead of 2, microbial biomass determined, larger ryegrass fragments, only <10mm sieved).
Overall, the writing style is clear and easy to follow. But introduction could be further improved to clearly point out the novelty of this study and logically introduce the hypotheses. Adding a figure showing expected relationships between EOM mineralisation and dose for silt loam (asymptotic) and sandy loam (linear) will help to clarify the still somewhat confusing hypotheses. I highly appreciated the detailed M&M section, which allowed to follow the experimental design and indicated in most cases the reasoning behind decisions. However, reasoning for why different statistical approaches were used is lacking and should be added during revision. I have several major concerns regarding the interpretation and thus discussion of the results.
We appreciate the reviewer’s comments on the potential impact of the study and addition to SOC dynamics, its novelty as well as the comments that have helped us greatly improve the manuscript.
Concerning the novelty of the study, following this reviewer’s comment, we have included a few lines in the introduction to clarify its novelty compared to Mendoza et al. (2022). The suggested points are indeed pertinent and therefore we propose to accommodate these in the current version of the manuscript as follows: “To account for these shortcomings and to obtain more realistic understanding of the application dose effect on EOM and SOC mineralization as it might occur in the field, we aimed to study decomposition of large pieces of 13C-labelled ryegrass residue in large relatively less disturbed soil cores. Consequently, as compared to Mendoza et al. (2022b) and Shahbaz (2017a), the soil masses used in a newly designed soil incubation experiment were about 23 times and 70 times larger, the soils were only coarsely sieved (<10 mm), the added crop residues were not chopped. Concentration of added ryegrass dose to non-refined ryegrass pieces is expected to yield a stronger local impact on soil structure and the concentration of C mineralization into such relative hotspots might more readily result in local depletion of O2 with potential negative impacts on EOM and SOC mineralization as compared to previous work on this topic.”
We would also now include one figure with the hypotheses and expected outcomes in the introduction to make it more understandable for the readers, as suggested by the reviewer.
Figure 1. Expected hypotheses and hypotheses of the EOM application dose effect on EOM and native SOC mineralization in a sandy loam and a silt loam soil.
Regarding the statistical approach, these comments are specifically covered further below in specific responses.
Major concerns:
- Large parts of the discussion are based on the interpretation of Figure 1, that the proportion of EOM mineralised decreases exponentially with increasing EOM dose. However, this conclusion cannot be made based on the study results. The authors find that EOM mineralisation increases linearly with EOM dose (Fig 1 top). The proportion of EOM C mineralised over EOM dose (shown in Fig 1 bottom) is basically the slope of EOM mineralisation over EOM dose (shown in Fig 1 top). If EOM mineralisation is linear, the slope of this function cannot decrease. Furthermore, while statistical metrics indicate high significance of the regression in Fig 1 top (i.e. the linear relationship between EOM mineralisation and EOM dose seems very solid), the relationship in Fig 1 bottom between the proportion of EOM mineralised and EOM dose is only marginally significant and should be therefore treated even more carefully. Therefore, the results only allow to conclude that EOM mineralisation increases proportionally with EOM dose in both soils, with different proportions of EOM being mineralised between sandy loam and silt loam. Reasoning should be given, why you decided to include only 3 different application doses instead of 4 to 5 equally distributed EOM doses. Including only 3 doses, where two are relatively close and one is far above the two other doses on the x-axis, makes it IMO impossible to find differences between linear and asymptotic fit and thus test your hypothesis of limitation of EOM mineralisation at high dose in silt loam.
We appreciate the comment of the reviewer. However, we disagree that only looking at cumulative EOM mineralization as a function of EOM dose suffices to draw conclusions. This because even though EOM mineralization responds linearly to dose, it is well possible that the mineralized % at a high dose is simply different than the smaller doses. This proved to be the case for the silt loam soil in the respective figure. To illustrate our point that perfect linearity does not always imply a lack of trend in % EOM mineralized, we are presenting the following hypothetical data (with no units for simplicity), and indeed with a linear response of cumulative EOM mineralization to EOM dose, the % mineralized EOM nevertheless decreased.
Thus, for Example 1 where increasing the dose from 2 to 6 brings about increased cumulative EOM mineralization (Cum.) while the % mineralized EOM decreased significantly (i.e. 50, 33.3 and 30%). The second example paints a similar picture but then with some more typical variation among replicates.
Based on this, we would prefer to keep the presentation of relative EOM mineralization response to EOM dose (Fig. 1 lower graph) as currently shown in the manuscript, as it is essential to our further interpretation.
Concerning the reasoning behind the selected doses and as suggested by the reviewer, we propose to add a sentence to the following paragraph as follows: “These applications were used as representative for rather low, intermediate, and high EOM doses commonly applied in agricultural practices under field conditions, and they correspond to 1.75, 5.25, and 17.5 Mg ha-1 assuming a depth of 25 cm and a bulk density of 1.4 g cm-3. The intermediate dose of 1.5 g dry matter kg-1 soil furthermore closely represents the typical application rate of 2.6 Mg C ha-1 yr-1 in German croplands (Riggers et al., 2021). The experiment was limited to only three doses mainly because the large dimensions of the soil mesocosms (6.5-7 kg dry soil per pot) already required considerable amounts of 13C-labelled plant material.”.
- SOC priming is displayed as absolute increase in SOC mineralisation as compared to the non-amended control. Instead of showing this absolute priming in Fig 2 bottom, which is redundant with Fig 2 top (normalising for y-intercept; this is why statistics are almost the same), you should display the proportion of SOC priming as relative to the total cumulative CO2-C. Only this would allow to compare how EOM dose affects priming between both soils. The comparison between absolute priming is misleading, since absolute mineralisation differs between both soils, with higher rates in silt loam. In the end, SOC priming might just be proportional to EOM mineralisation. Therefore, the discussion on why SOC priming is stimulated to a larger extent in silt loam as in sandy loam needs revision.
We appreciate and agree with the reviewer’s comment, and we would propose to now present “relative SOC priming”. We checked this now and found that there was no interaction between texture and EOM dose and on relatively expressed SOC priming. We will accordingly modify the interpretation in the results section. The conclusion and the discussion need to be modified accordingly with the observation that relative SOC priming response to EOM dose was not different between both textures. We propose to elaborate on the now newly added C balance calculations. These pointed out that adding EOM at a low dose (0.5 g kg-1) has an adverse effect on the SOC balance (worse than when no EOM is added at all), while adding EOM at 1.5 and 5 g kg-1 yields a more positive balance when expressed per unit of EOM-C added.
Therefore, we propose to add the following in the discussion: “The net C balance was also suggested to differ with EOM dose in both soils, it was in particular lower when EOM was added at low dose then when no EOM was added at all. The slowed relative EOM mineralization in the silt loam soil that was not seen in the sandy loam soil did not result in an improved net C balance as its impact was counteracted by a relatively stronger SOC priming response to EOM dose in the silt loam than in the sandy loam soil. Priming contributed from around 4% up to 40% of to this overall large SOC mineralization going from low to high application doses in both soils (Table C1) and was thus certainly a non-negligible term in the net C balance. The contrast in C balance per unit of EOM dose followed the order: intermediate > high > low doses, we thus might tentatively conclude that adding EOM at low dose is unfavourable from a C balance perspective.”
Also, we propose to delete L.456-461 of the conclusion in the previous manuscript concerning priming and modify the text accordingly: “Formation of MBC was independent of EOM dose and so we found no proof suggesting a more economic growth of heterotrophs at higher substrate dose. We expect that with the generally observed lower bulk soil Eh in the silt loam soil the slowed relative mineralization of EOM at increasing dose could be related to enhanced occurrence of local O2 limitation surrounding EOM litter, even though its addition in fact also stimulated macroporosity. Revealing causality and identifying the situations where increased O2 demand due to enhanced microbial activity at higher EOM dose outweighs the potentially improved gaseous transport from increased macroporosity will require experiments targeting changes in soil structure and include local Eh measurements at the microscale. Tentative C balance calculations finally pointed out that when EOM is added at a low dose, i.e. around 0.5 g kg-1, it has a negative impact on SOC. When added at 1.5 or 5 g kg-1 a positive effect is expected on the C balance. But now, these tentative C balances of this upscale pot experiment should be confirmed in the field where environmental conditions vary.”
- While results are mostly displayed as cumulative results after 90-days incubation, microbial biomass was only measured once after 45 days. The reasoning for this decision is lacking in the M&M. Also, this needs consideration in combined interpretation of EOM dose effects on MBC (45-days) and EOM mineralisation and priming (90-days). Also the information is lacking in the Fig 3 caption. However, my major concern regarding MBC is the interpretation of Fig 3 bottom. First, the unit is missing. It is unclear from looking at the figure and reading its caption how EOM-mediated MBC increase was calculated. It is not based on 13C-incorporation. I assume it is calculated similar to SOC priming, i.e. normalising for the y-intercept. On the other hand, this would not explain the low values at 5 g dose. Did you divide the delta MBC (to non-amended control) by EOM dose? Second, the relationship is non-significant. Therefore, the conclusion that the increase in MBC per unit EOM added decreases with EOM dose is not valid.
We now added a motivation to measure MBC after 45 days: “We measured MBC after 45 days because at that point in time most of the SOC priming and EOM mineralization had occurred.” . This becomes clear from Fig. A1 and Fig. B1.
The unit has now been added to Fig. 3 (becoming Fig. 4 in the revised version of the manuscript version). To calculate the EOM-mediated MBC increase the difference between amended and control MBC was divided by application dose. We will explain this in the manuscript. In agreement with the reviewer’s comment, given that we did not find a statistically significant relation between EOM-mediated MBC increase and EOM application dose, we are changing the related discussion, wherein we originally invoked this MBC response to dose to explain the observed trend in EOM mineralization response to dose for the sandy loam soil. We also now changed the caption of Figure 7 (now Figure 8), where we synthesize the findings of our experiment, by excluding the suggestion that with increasing EOM dose there was a tendency towards smaller MBC increase following EOM application.
General comments:
Statistics
- Indicate reasoning for why different tests were used. Did you use an ANOVA to test for significant effects of dose x lime in your GLM? In lines 212-214 you state that you tested for normal distribution of residuals. However, with GLM residuals do not need to be normally distributed. Revise this section to clarify.
We now clarified that for data at a single time point, general linear models (GLMs) were used, whereas linear mixed models (LMMs) were used for soil Eh measurements taken over time. To test for significant effects of the interaction between dose and texture, we assessed the significance of the interaction coefficient using the "lm" and "summary" functions, which utilize t-tests. Regarding the assessment of normality, we would like to clarify that as stated in L.203 and 210 we used general linear models and linear mixed models (LMMs) where normality of residuals should be checked. We did not use generalized linear mixed models (GLMMs) which can handle non-normal outcomes. Therefore, we prefer to keep the normality check as stated.
Figures
- Display uncertainties, i.e. confidence intervals. Remove redundant figures (see comments major concerns) Confidence intervals will be displayed and figures have been modified accordingly.
- Figure 5/pore neck sizes: In general, you missed to clearly indicate in the introduction in which pore neck sizes you expected changes to occur, and what would be the implication of such changes. Figure 5 is hard to interpret. It is unclear that EOM (g kg-1) is y-axis label. Different colours are hard to see and I would prefer to have one simple figure on total pore volume changes over having several pore neck sizes. Consider changing axes and aggregating all fractions to display total pore volume differences with error bars. If you are more interested in showing the distribution of pores normalise the total pore volume to better visualise the shift in proportions.
We felt that postulating the promotion of specific pore size classes with EOM application would have been rather poorly funded. Moreover, EOM addition effects on pore size distribution was only one of the mechanisms regarded to potentially explain EOM dose responses of % EOM mineralization and SOC priming. Hence, we now propose to only add that we expected promotion of macroporosity (as observed in our previous study Mendoza et al. 2022) with EOM addition and that this could be linked to SOC priming.
Concerning the comment on Figure 5, we have tried the suggested options by the reviewer, and we consider that the current version as a useful way to show the pore neck size distribution. We have now tried to clearly point out where statistical significances are. Moreover, the suggestion of the reviewer to have the total pore volumes per dose treatment can already be seen as the total length of each bar represents the total porosity at each dose in the current figure and this is one of the reasons why we also prefer to keep this figure. However, in agreement with the reviewer, we have clarified that the y axis represents application dose.
- Figure 7: Needs revision due to major concerns regarding the interpretation of your results.
This figure and its caption have now been modified based on the revision on the major concerns about SOC priming and EOM-mediated MBC increase. The EOM-mediated MBC increase part has been deleted. Please see the proposed figure and caption below:
Figure 7. Overview of the mechanisms shaping the relative EOC mineralization (% min. EOC) and SOC priming effects in response to EOM application dose. In the sandy loam soil (left-hand side), increasing EOM dose supplied energy for microbial growth and extracellular enzyme production, which possibly degraded native SOC (i.e. co-metabolism), but did not affect the mineralized EOM fraction. Soil Eh decreased slightly with increasing EOM dose, but C mineralization remained aerobic as expected in the sandy loam soil. Here, soil structure was not much affected by EOM dose. In the silt loam soil (right-hand side), where O2 diffusion is expected to be inherently constrained, increasing EOM dose induced macroporosity which also compensated the large O2 consumption due to larger microbial growth. Here, mainly co-metabolism could explain the positive priming effects with increasing EOM dose in the silt loam soil. The decreasing percentage of decomposed EOM with increasing EOM application dose observed in the silt loam soil might be related to larger EOM protection within aggregates, but further confirmation of this hypothesis is required.
Conclusion:
The study fits the scope of the journal and presents novel results, adding a piece to the puzzle in understanding C dynamics in soil. We learn that EOM mineralisation does increase linearly with its application and that SOC priming seems to linearly correlate with EOM mineralisation. Regarding the major concerns I have with the interpretation of the results, I recommend that the manuscript can only be accepted after a major revision. Given that I expect the manuscript to undergo large changes during its major revision, I will not add line to line comments to this version.
- Indicate reasoning for why different tests were used. Did you use an ANOVA to test for significant effects of dose x lime in your GLM? In lines 212-214 you state that you tested for normal distribution of residuals. However, with GLM residuals do not need to be normally distributed. Revise this section to clarify.
Citation: https://doi.org/10.5194/egusphere-2024-107-AC2 - Large parts of the discussion are based on the interpretation of Figure 1, that the proportion of EOM mineralised decreases exponentially with increasing EOM dose. However, this conclusion cannot be made based on the study results. The authors find that EOM mineralisation increases linearly with EOM dose (Fig 1 top). The proportion of EOM C mineralised over EOM dose (shown in Fig 1 bottom) is basically the slope of EOM mineralisation over EOM dose (shown in Fig 1 top). If EOM mineralisation is linear, the slope of this function cannot decrease. Furthermore, while statistical metrics indicate high significance of the regression in Fig 1 top (i.e. the linear relationship between EOM mineralisation and EOM dose seems very solid), the relationship in Fig 1 bottom between the proportion of EOM mineralised and EOM dose is only marginally significant and should be therefore treated even more carefully. Therefore, the results only allow to conclude that EOM mineralisation increases proportionally with EOM dose in both soils, with different proportions of EOM being mineralised between sandy loam and silt loam. Reasoning should be given, why you decided to include only 3 different application doses instead of 4 to 5 equally distributed EOM doses. Including only 3 doses, where two are relatively close and one is far above the two other doses on the x-axis, makes it IMO impossible to find differences between linear and asymptotic fit and thus test your hypothesis of limitation of EOM mineralisation at high dose in silt loam.
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