Dye tracer aided investigation of xylem water transport velocity distributions

Seeger, Stefan; Weiler, Markus

doi:https://doi.org/10.5194/egusphere-2022-1492

Preprints

https://doi.org/10.5194/egusphere-2022-1492

Preprints

02 Jan 2023

| 02 Jan 2023

Dye tracer aided investigation of xylem water transport velocity distributions

Stefan Seeger and Markus Weiler

Abstract. A vast majority of studies investigating the source depths in the soil of root water uptake with the help of water stable isotopes implicitly assumes that the isotopic signatures of root water uptake and xylem water are identical. In this study we show that this basic assumption is not necessarily valid, since water transport between the root tips and an observed point above the root zone is not instantaneous. However, to our knowledge no study has yet tried to explicitly assess the distribution of water transport velocities within the xylem. With a dye tracer experiment we could visualize how the transport of water through the xylem happens at a wide range of velocities which are distributed unequally throughout the xylem. In an additional virtual experiment we could show that, due to the unequal distribution of transport velocities throughout the xylem, different sampling approaches of water stable isotopes might effectively lead to xylem water samples with different underlying age distributions.

Received: 22 Dec 2022 – Discussion started: 02 Jan 2023

Download & links

Preprint (PDF, 692 KB)

Notice on discussion status
The requested preprint has a corresponding peer-reviewed final revised paper. You are encouraged to refer to the final revised version.
Preprint (692 KB)

Download & links

The requested preprint has a corresponding peer-reviewed final revised paper. You are encouraged to refer to the final revised version.

Journal article(s) based on this preprint

22 Sep 2023

Dye-tracer-aided investigation of xylem water transport velocity distributions

Stefan Seeger and Markus Weiler

Hydrol. Earth Syst. Sci., 27, 3393–3404, https://doi.org/10.5194/hess-27-3393-2023,https://doi.org/10.5194/hess-27-3393-2023, 2023

Short summary

Stefan Seeger and Markus Weiler

Interactive discussion

Status: closed

CC1:
'Comment on egusphere-2022-1492', Hongxiu Wang, 04 Jan 2023

What's the isotopic difference of xylem internal water? XX per mil? Is it possible to seperate the xylem according to the dye and then using CVD to extract the water to see the isotopic values?

Citation: https://doi.org/10.5194/egusphere-2022-1492-CC1
- AC1:
  'Reply on CC1', Stefan Seeger, 04 Jan 2023
  
  Dear Hongxiu Wang,
  thanks for your questions which I will answer as follows:
  What's the isotopic difference of xylem internal water? XX per mil?
  That depends entirely on the history of previous root water uptake (RWU) isotopic signatures. After a sufficiently long period of RWU with a constant isotopic signature eventually all mobile water within the xylem should have the same signature. The variation in RWU isotopic signatures (which will depend on the "soil-smoothed" variation of precipitation isotopic signatures) determines the maximum difference that can be expected within different parts of the mobile xylem water. The maximum differences in xylem water isotopic signatures across one cross section can be expected close to the stem base, shortly after notable changes of RWU signatures.
  Is it possible to seperate the xylem according to the dye and then using CVD to extract the water to see the isotopic values?
  I suppose this should be possible, but it would certainly require appropriate specialized equipment in order to accomplish this on such rather small scales. In my opinion, investigations based on dye tracers can be realized with much less specialized equipment. Only if the dye tracer approach does not seem sufficient to answer a particular question I would bother thinking about tedious small scale sampling of xylem samples with subsequent CVD (which will always inlcude the immobile water fraction).
  
  Best regards,
  Stefan Seeger
  
  Citation: https://doi.org/10.5194/egusphere-2022-1492-AC1
  - CC2: 'Reply on AC1', Hongxiu Wang, 04 Jan 2023
    
    Thank you, Stefan. Intersting and great work.
    Warm Regards,
    Hongxiu
    
    Citation: https://doi.org/10.5194/egusphere-2022-1492-CC2
RC1:
'Comment on egusphere-2022-1492', James Knighton, 12 Jan 2023

Overview: The authors presented a very interesting experimental design to estimate the radial velocity distribution of xylem water. A sample of a tree was cut, a dye boundary condition was introduced at one end and allowed to percolate through the sample. Once dye was visible on the downstream end, the sample was divided into sections. Image processing software was used to identify areas of dye to determine what xylem was active along the length of the sample. The study carries implications for both field sampling plants for isotopic analysis and numerical modeling of plant water uptake and storage. Overall, I think the idea is novel and highlights a problem that has been largely overlooked in field sampling campaigns. I enjoyed reading the paper and think this is a strong contribution. I believe the experimental design and the writing could be slightly improved. Please see comments below.

I will also disclose that I am referencing two of my own papers in this review. I’m referencing one paper because the authors comment on it several times. I’m referencing another because it’s one of the few published applications of SAS functions to modeling transport velocities within plants. I strong emphasize that I am not expecting citation of work that I am affiliated with.

Major comment: The proposed methodology hasn’t been validated with a parallel established method.

There is some discussion of how these results compare to radial variations in xylem water velocity measured with sapflux techniques; however, these prior measurements were made at different heights, depths into the xylem, and on different species. This is a concern to me particularly because the proposed methodology required subjective visual tuning of the NDBI classification of dye versus no-dye in each cross section. This visual tuning seems to have resulted in an underestimate of the dye-stained area (Fig. 2). I would also guess that this underestimate is what causes the authors to calculate that a substantial proportion of outer xylem tissue does not conduct water (Fig. 6c-d). It may be the case, but this type of finding would impact the conclusions of many prior studies and should therefore be carefully validated.

The ideal resolution to this comment would be to provide a validation or comparison of the technique. I would imagine that this experiment could accommodate sapflux sensors installed along the sample and/or xylem water isotopic sampling (if labeled and dyed water were used at the boundary condition). I recognize that this would be a substantial amount of work. At the very least, I strongly caution against using the results of this preliminary experiment to guide field sampling and model development and think the results and conclusions could be tempered a bit more than they already have been.

Specific comments:

Section 1: I appreciate the focus on process-based modeling of root to xylem conduit time lags. I would also point out that research using storage selection (SAS) functions have been presented as a parallel way of dealing with this problem. These models don’t need to explicitly consider where water spent time (i.e., inside the plant versus in the soil). SAS functions can numerically represent complex age-distributions of water in xylem. I understand that this isn’t the primary focus of the paper, but this comes to mind as I read the argument the authors are making. Here are several examples:

Evaristo, J., Kim, M., van Haren, J., Pangle, L. A., Harman, C. J., Troch, P. A., & McDonnell, J. J. (2019). Characterizing the fluxes and age distribution of soil water, plant water, and deep percolation in a model tropical ecosystem. Water Resources Research, 55(4), 3307-3327.

Knighton, J., SouterâKline, V., Volkmann, T., Troch, P. A., Kim, M., Harman, C. J., ... & Walter, M. T. (2019). Seasonal and topographic variations in ecohydrological separation within a small, temperate, snowâinfluenced catchment. Water Resources Research, 55(8), 6417-6435.

Smith, A. A., Tetzlaff, D., & Soulsby, C. (2020). Using storage selection functions to assess mixing patterns and water ages of soil water, evaporation and transpiration. Advances in Water Resources, 141, 103586.

Line 49: The process-based modeling papers described by the authors all shared a similar challenge in that they were attempting to simultaneously simulate the both the soil water balance (the root boundary condition) and xylem water isotopic observations. Some of the model error in representing xylem water was likely error that cascaded down from an imperfect representation of the soil water, and not only an imperfect representation of xylem water transport. Smith et al (2022) demonstrated this directly. This might be worth mentioning.

Line 55: This transition in text is kind of abrupt. The text goes from advances in modeling the soil-plant system to measurement techniques. Would this paragraph make more sense moved down to be the first paragraph of Section 1.2?

Line 75: A definition of “mobile” would be useful here. Is “mobile” water extracted under a certain pressure? Many researchers remove heartwood from tree core samples prior to isotopic analysis to sample only the “mobile” water; however, recent studies have suggested that heartwood is “mobile” to a certain degree. I think the field at large needs a better definition for “mobile.” For example, see Fabiani et al (2022).

Fabiani, G., Penna, D., Barbeta, A., & Klaus, J. (2022). Sapwood and heartwood are not isolated compartments: Consequences for isotope ecohydrology. Ecohydrology, 15(8), e2478.

Line 87: Possibly no one has done this with stable isotopic techniques or dye tracers, but there are many studies where the radial variations in xylem velocity have been observed (Ford et al 2004). Maybe I’m not understanding what the authors are suggesting, but this seems a like a new method of measuring something that has been measured many times before.

Ford, C. R., McGuire, M. A., Mitchell, R. J., & Teskey, R. O. (2004). Assessing variation in the radial profile of sap flux density in Pinus species and its effect on daily water use. Tree physiology, 24(3), 241-249.

Line 107: How long did this dye breakthrough require?

Figure 6c-e: This is implying that some shallow xylem tissue existed that was not transporting water. It seems more likely that this was because the NDBI algorithm was missing areas where dye was showing up weakly. You can see that this is likely the case on the left-hand side of Figure 2a and 2c. There is a clear blue-green coloring along the left of the cross section that was not identified by the algorithm and (I’m assuming) coded as “immobile.” The authors also point out that the blue dye leaked from the last cross section (mobile) but did not stain this cross section (not identified as mobile). I would guess that the reported “immobile” water percentages are more related to methodological limitations than evidence that immobile water is being sampled in short cores.

Line 225: I’m not sure if it would work with this the methodology, but we often apply mineral oil to increase visibility when counting rings on tree cores. It makes the wood grain much more distinct. This might be an inexpensive way to quickly improve image quality.

Line 230: You could also include a reference tile or swatch next to each stem cross section for image post-processing to a visual standard.

Line 284: The wording here is a bit awkward: “a lot more, very common trees.”

Line 295 - 296: This recommendation seems like an overreach given that this methodology hasn’t been validated (see major comments).

Line 304: “wide range of velocities” maybe isn’t the most accurate wording. As discussed in section 4.2 this study shouldn’t be taken as a measurement of velocity because of the unusual boundary conditions. Maybe instead: “a large variance in the radial distribution of velocities” which avoids talking about the actual velocities.

Line 305: Minor comment here, but Knighton et al (2020) investigated both piston flow and a fully-mixed reservoir, which was a little more complicated than piston flow.

Line 305: There is also a possible difference in the temporal scales between that modeling experiment and this study presented in the manuscript. I’m assuming this study occurred over a time period of less than one working day (<8 hours). If a boundary condition is introduced and held constant for a sufficient period of time (e.g., rainfall onto soils followed by a period of no rain for a week) the radial distribution of xylem velocities will stop mattering after the slowest path has reached the sampling height. The variation in flowpath velocities would only be a strong consideration if the water boundary condition at the roots was rapidly changing relative to the transit time between roots to the sampling point, which might not always be a real-world concern.

Line 316: Something wrong with this reference “?Dubbert”

- James Knighton

Citation: https://doi.org/10.5194/egusphere-2022-1492-RC1
- AC2: 'Reply on RC1', Stefan Seeger, 28 Apr 2023
  
  We would like to thank James Knighton for his thorough review and for raising some questions that will help to improve the initial manuscript.
  Please find the detailed response in the attached PDF.
  
  Citation: https://doi.org/10.5194/egusphere-2022-1492-AC2
RC2:
'Comment on egusphere-2022-1492', Anonymous Referee #2, 21 Mar 2023

General comments:
The study of Seeger & Weiler assesses the distribution of water transport velocities within a tree stem, using a dye tracer and a virtual experiment. The study’s main goal is to test the assumption δRWU = δXylem, often used in isotope-based plant water uptake studies. Moreover, it studies how different xylem sampling approaches affect derived water transport velocities. The study finally concludes that δRWU = δXylem is too simplified and that the variation of water transport velocities needs to be better addressed in isotope-based plant water uptake models and when sampling xylem water ofr isotopic analysis.
The major constrain of the study is that it was not directly compared to, for instance, sap flow or water stable isotope measurements. Also, looking at the cut surfaces of the stem, the cutting seems not to have always worked so well (Fig. 2a) and probably has made the image processing more difficult and less accurate. Yet, the study is a nice starting point for further studies on that topic and it provides good suggestions for further improvements of the method. The ideas of this study is original, and the study will be a great add-on to the current literature.
Specific comments:
The table and figures are lacking important information. Explanation for abbreviations is widely missing. All figures need to be explained better in the figure legends, not just in the text. A lot of information can be only found in the text, see e.g. information in lines L189, L209-210. The legend of Fig. 4b for instance is not referring at all to the flow path length (x-axis of the figure).
It would be great if the figures would also use/refer to the abbreviations from the equations for better understanding.
The connection between 1 Introduction, 1.1 and 1.2 should be made clearer. The relevance of 1.1 and 1.2 only get clearer when the objectives (1.3) are listed. Some sentences at the end of section 1 should introduce 1.1 and 1.2.
How is the variation within a xylem class? Looking at Figure 4, also the trunk side of the sampled tree mattered. Figure 3a assumes no large variation within the xylem class? This point of variation within a xylem depth class should be also discussed.
Will you share your codes with the community?

Line by line comments (mainly minor):
L3: you only study the plant water uptake/transport starting from the stem base
L8: "sampling approaches for xylem water stable isotopes"
L12: since they (?, the isotopic signatures?)
L17: water stable isotopes
L21: maybe rather introduce abbreviation δsoil here
L26: "soil water isotopic data"
L29: you could add the information in the brackets directly in the sentence, nicer to read
L45: led
L47: phrasing, better: „were not able to“
L49: "of an in-situ"
L78: for consistency: "all water that is contained"
L79: CVD abbreviation not introduced
L82: the borehole method likely only sees the last few cm of the borehole before the airstream is carried out of the stream
L95: it would be enough/nicer just to write: a dye tracer experiment (Fig. 1). We…
L96: nicer to read if you just add the info in the brackets to the text, for example, „segment of a 3.5 cm“
L98-99: add maybe „for this study“ or “here”
L107: add company information etc. for brilliant blue
L115: Figure 2, could you add a scale as a reference?
L118: „where we used“
L118: how big is one pixel?
L120: how were the classes defined exactly? Be more precise. Why six classes? I would already add “(Fig.2c)” here
L124: might be nicer to write „Eq. 1“ etc. As you also reference to them later.
L133: „required velocities u_n to reach“
L152: add more information „does not matter because…“
Figure 3; four different kinds of tiny circles? do you mean shapes/colour groups?
L160-165: explain / reference the choice for innermost=0, outermost decreases again
L170: “any study”
L172: „different xylem sampling approaches will capture“
L174. intercomparison, inter-comparison reads nicer
L185: how much was the thicker end of the stem?
L186: you could add „Eq. 6“
L194: „virtually“ is confusing here as this is the actual experiment
L199: equation 2.1.2??
Fig.5 legend. „per xylem depth class“, (c) is actually the xylem radius (be more consistent)
Fig.6 Frequency: y-axis labels
L230: led
L238: led
L247-251: maybe make two sentences out of this very long one
L252: no comma
L254: „as fast as“
L255-L261: mention that velocities can be highly species-specific and size of tree etc.
L258: wasn’t this even in three heights?
L265: did you sample your stem for isotopic analysis? so that you could compare it directly?
L266-274: these are all different species, might be worth to emphasize this more
L270: start new sentence after “… beech)”
L278: led
L284: phrasing
L285: „more conductive pores“ than? be more precise
L287: „trees. It is“
L288: behave differently
L294: overrepresentation, over-representation reads nicer
L316: ?Dubbert, delete“?“
L316: phrasing

Citation: https://doi.org/10.5194/egusphere-2022-1492-RC2
- AC3: 'Reply on RC2', Stefan Seeger, 28 Apr 2023
  
  We would like to thank the anonymous second referee for their thorough review and for raising some intersting questions that will help to improve the initial submission.
  
  Please find our detailed responses in the attached PDF file.
  
  Citation: https://doi.org/10.5194/egusphere-2022-1492-AC3

Interactive discussion

Status: closed

CC1:
'Comment on egusphere-2022-1492', Hongxiu Wang, 04 Jan 2023

What's the isotopic difference of xylem internal water? XX per mil? Is it possible to seperate the xylem according to the dye and then using CVD to extract the water to see the isotopic values?

Citation: https://doi.org/10.5194/egusphere-2022-1492-CC1
- AC1:
  'Reply on CC1', Stefan Seeger, 04 Jan 2023
  
  Dear Hongxiu Wang,
  thanks for your questions which I will answer as follows:
  What's the isotopic difference of xylem internal water? XX per mil?
  That depends entirely on the history of previous root water uptake (RWU) isotopic signatures. After a sufficiently long period of RWU with a constant isotopic signature eventually all mobile water within the xylem should have the same signature. The variation in RWU isotopic signatures (which will depend on the "soil-smoothed" variation of precipitation isotopic signatures) determines the maximum difference that can be expected within different parts of the mobile xylem water. The maximum differences in xylem water isotopic signatures across one cross section can be expected close to the stem base, shortly after notable changes of RWU signatures.
  Is it possible to seperate the xylem according to the dye and then using CVD to extract the water to see the isotopic values?
  I suppose this should be possible, but it would certainly require appropriate specialized equipment in order to accomplish this on such rather small scales. In my opinion, investigations based on dye tracers can be realized with much less specialized equipment. Only if the dye tracer approach does not seem sufficient to answer a particular question I would bother thinking about tedious small scale sampling of xylem samples with subsequent CVD (which will always inlcude the immobile water fraction).
  
  Best regards,
  Stefan Seeger
  
  Citation: https://doi.org/10.5194/egusphere-2022-1492-AC1
  - CC2: 'Reply on AC1', Hongxiu Wang, 04 Jan 2023
    
    Thank you, Stefan. Intersting and great work.
    Warm Regards,
    Hongxiu
    
    Citation: https://doi.org/10.5194/egusphere-2022-1492-CC2
RC1:
'Comment on egusphere-2022-1492', James Knighton, 12 Jan 2023

Overview: The authors presented a very interesting experimental design to estimate the radial velocity distribution of xylem water. A sample of a tree was cut, a dye boundary condition was introduced at one end and allowed to percolate through the sample. Once dye was visible on the downstream end, the sample was divided into sections. Image processing software was used to identify areas of dye to determine what xylem was active along the length of the sample. The study carries implications for both field sampling plants for isotopic analysis and numerical modeling of plant water uptake and storage. Overall, I think the idea is novel and highlights a problem that has been largely overlooked in field sampling campaigns. I enjoyed reading the paper and think this is a strong contribution. I believe the experimental design and the writing could be slightly improved. Please see comments below.

I will also disclose that I am referencing two of my own papers in this review. I’m referencing one paper because the authors comment on it several times. I’m referencing another because it’s one of the few published applications of SAS functions to modeling transport velocities within plants. I strong emphasize that I am not expecting citation of work that I am affiliated with.

Major comment: The proposed methodology hasn’t been validated with a parallel established method.

There is some discussion of how these results compare to radial variations in xylem water velocity measured with sapflux techniques; however, these prior measurements were made at different heights, depths into the xylem, and on different species. This is a concern to me particularly because the proposed methodology required subjective visual tuning of the NDBI classification of dye versus no-dye in each cross section. This visual tuning seems to have resulted in an underestimate of the dye-stained area (Fig. 2). I would also guess that this underestimate is what causes the authors to calculate that a substantial proportion of outer xylem tissue does not conduct water (Fig. 6c-d). It may be the case, but this type of finding would impact the conclusions of many prior studies and should therefore be carefully validated.

The ideal resolution to this comment would be to provide a validation or comparison of the technique. I would imagine that this experiment could accommodate sapflux sensors installed along the sample and/or xylem water isotopic sampling (if labeled and dyed water were used at the boundary condition). I recognize that this would be a substantial amount of work. At the very least, I strongly caution against using the results of this preliminary experiment to guide field sampling and model development and think the results and conclusions could be tempered a bit more than they already have been.

Specific comments:

Section 1: I appreciate the focus on process-based modeling of root to xylem conduit time lags. I would also point out that research using storage selection (SAS) functions have been presented as a parallel way of dealing with this problem. These models don’t need to explicitly consider where water spent time (i.e., inside the plant versus in the soil). SAS functions can numerically represent complex age-distributions of water in xylem. I understand that this isn’t the primary focus of the paper, but this comes to mind as I read the argument the authors are making. Here are several examples:

Evaristo, J., Kim, M., van Haren, J., Pangle, L. A., Harman, C. J., Troch, P. A., & McDonnell, J. J. (2019). Characterizing the fluxes and age distribution of soil water, plant water, and deep percolation in a model tropical ecosystem. Water Resources Research, 55(4), 3307-3327.

Knighton, J., SouterâKline, V., Volkmann, T., Troch, P. A., Kim, M., Harman, C. J., ... & Walter, M. T. (2019). Seasonal and topographic variations in ecohydrological separation within a small, temperate, snowâinfluenced catchment. Water Resources Research, 55(8), 6417-6435.

Smith, A. A., Tetzlaff, D., & Soulsby, C. (2020). Using storage selection functions to assess mixing patterns and water ages of soil water, evaporation and transpiration. Advances in Water Resources, 141, 103586.

Line 49: The process-based modeling papers described by the authors all shared a similar challenge in that they were attempting to simultaneously simulate the both the soil water balance (the root boundary condition) and xylem water isotopic observations. Some of the model error in representing xylem water was likely error that cascaded down from an imperfect representation of the soil water, and not only an imperfect representation of xylem water transport. Smith et al (2022) demonstrated this directly. This might be worth mentioning.

Line 55: This transition in text is kind of abrupt. The text goes from advances in modeling the soil-plant system to measurement techniques. Would this paragraph make more sense moved down to be the first paragraph of Section 1.2?

Line 75: A definition of “mobile” would be useful here. Is “mobile” water extracted under a certain pressure? Many researchers remove heartwood from tree core samples prior to isotopic analysis to sample only the “mobile” water; however, recent studies have suggested that heartwood is “mobile” to a certain degree. I think the field at large needs a better definition for “mobile.” For example, see Fabiani et al (2022).

Fabiani, G., Penna, D., Barbeta, A., & Klaus, J. (2022). Sapwood and heartwood are not isolated compartments: Consequences for isotope ecohydrology. Ecohydrology, 15(8), e2478.

Line 87: Possibly no one has done this with stable isotopic techniques or dye tracers, but there are many studies where the radial variations in xylem velocity have been observed (Ford et al 2004). Maybe I’m not understanding what the authors are suggesting, but this seems a like a new method of measuring something that has been measured many times before.

Ford, C. R., McGuire, M. A., Mitchell, R. J., & Teskey, R. O. (2004). Assessing variation in the radial profile of sap flux density in Pinus species and its effect on daily water use. Tree physiology, 24(3), 241-249.

Line 107: How long did this dye breakthrough require?

Figure 6c-e: This is implying that some shallow xylem tissue existed that was not transporting water. It seems more likely that this was because the NDBI algorithm was missing areas where dye was showing up weakly. You can see that this is likely the case on the left-hand side of Figure 2a and 2c. There is a clear blue-green coloring along the left of the cross section that was not identified by the algorithm and (I’m assuming) coded as “immobile.” The authors also point out that the blue dye leaked from the last cross section (mobile) but did not stain this cross section (not identified as mobile). I would guess that the reported “immobile” water percentages are more related to methodological limitations than evidence that immobile water is being sampled in short cores.

Line 225: I’m not sure if it would work with this the methodology, but we often apply mineral oil to increase visibility when counting rings on tree cores. It makes the wood grain much more distinct. This might be an inexpensive way to quickly improve image quality.

Line 230: You could also include a reference tile or swatch next to each stem cross section for image post-processing to a visual standard.

Line 284: The wording here is a bit awkward: “a lot more, very common trees.”

Line 295 - 296: This recommendation seems like an overreach given that this methodology hasn’t been validated (see major comments).

Line 304: “wide range of velocities” maybe isn’t the most accurate wording. As discussed in section 4.2 this study shouldn’t be taken as a measurement of velocity because of the unusual boundary conditions. Maybe instead: “a large variance in the radial distribution of velocities” which avoids talking about the actual velocities.

Line 305: Minor comment here, but Knighton et al (2020) investigated both piston flow and a fully-mixed reservoir, which was a little more complicated than piston flow.

Line 305: There is also a possible difference in the temporal scales between that modeling experiment and this study presented in the manuscript. I’m assuming this study occurred over a time period of less than one working day (<8 hours). If a boundary condition is introduced and held constant for a sufficient period of time (e.g., rainfall onto soils followed by a period of no rain for a week) the radial distribution of xylem velocities will stop mattering after the slowest path has reached the sampling height. The variation in flowpath velocities would only be a strong consideration if the water boundary condition at the roots was rapidly changing relative to the transit time between roots to the sampling point, which might not always be a real-world concern.

Line 316: Something wrong with this reference “?Dubbert”

- James Knighton

Citation: https://doi.org/10.5194/egusphere-2022-1492-RC1
- AC2: 'Reply on RC1', Stefan Seeger, 28 Apr 2023
  
  We would like to thank James Knighton for his thorough review and for raising some questions that will help to improve the initial manuscript.
  Please find the detailed response in the attached PDF.
  
  Citation: https://doi.org/10.5194/egusphere-2022-1492-AC2
RC2:
'Comment on egusphere-2022-1492', Anonymous Referee #2, 21 Mar 2023

General comments:
The study of Seeger & Weiler assesses the distribution of water transport velocities within a tree stem, using a dye tracer and a virtual experiment. The study’s main goal is to test the assumption δRWU = δXylem, often used in isotope-based plant water uptake studies. Moreover, it studies how different xylem sampling approaches affect derived water transport velocities. The study finally concludes that δRWU = δXylem is too simplified and that the variation of water transport velocities needs to be better addressed in isotope-based plant water uptake models and when sampling xylem water ofr isotopic analysis.
The major constrain of the study is that it was not directly compared to, for instance, sap flow or water stable isotope measurements. Also, looking at the cut surfaces of the stem, the cutting seems not to have always worked so well (Fig. 2a) and probably has made the image processing more difficult and less accurate. Yet, the study is a nice starting point for further studies on that topic and it provides good suggestions for further improvements of the method. The ideas of this study is original, and the study will be a great add-on to the current literature.
Specific comments:
The table and figures are lacking important information. Explanation for abbreviations is widely missing. All figures need to be explained better in the figure legends, not just in the text. A lot of information can be only found in the text, see e.g. information in lines L189, L209-210. The legend of Fig. 4b for instance is not referring at all to the flow path length (x-axis of the figure).
It would be great if the figures would also use/refer to the abbreviations from the equations for better understanding.
The connection between 1 Introduction, 1.1 and 1.2 should be made clearer. The relevance of 1.1 and 1.2 only get clearer when the objectives (1.3) are listed. Some sentences at the end of section 1 should introduce 1.1 and 1.2.
How is the variation within a xylem class? Looking at Figure 4, also the trunk side of the sampled tree mattered. Figure 3a assumes no large variation within the xylem class? This point of variation within a xylem depth class should be also discussed.
Will you share your codes with the community?

Line by line comments (mainly minor):
L3: you only study the plant water uptake/transport starting from the stem base
L8: "sampling approaches for xylem water stable isotopes"
L12: since they (?, the isotopic signatures?)
L17: water stable isotopes
L21: maybe rather introduce abbreviation δsoil here
L26: "soil water isotopic data"
L29: you could add the information in the brackets directly in the sentence, nicer to read
L45: led
L47: phrasing, better: „were not able to“
L49: "of an in-situ"
L78: for consistency: "all water that is contained"
L79: CVD abbreviation not introduced
L82: the borehole method likely only sees the last few cm of the borehole before the airstream is carried out of the stream
L95: it would be enough/nicer just to write: a dye tracer experiment (Fig. 1). We…
L96: nicer to read if you just add the info in the brackets to the text, for example, „segment of a 3.5 cm“
L98-99: add maybe „for this study“ or “here”
L107: add company information etc. for brilliant blue
L115: Figure 2, could you add a scale as a reference?
L118: „where we used“
L118: how big is one pixel?
L120: how were the classes defined exactly? Be more precise. Why six classes? I would already add “(Fig.2c)” here
L124: might be nicer to write „Eq. 1“ etc. As you also reference to them later.
L133: „required velocities u_n to reach“
L152: add more information „does not matter because…“
Figure 3; four different kinds of tiny circles? do you mean shapes/colour groups?
L160-165: explain / reference the choice for innermost=0, outermost decreases again
L170: “any study”
L172: „different xylem sampling approaches will capture“
L174. intercomparison, inter-comparison reads nicer
L185: how much was the thicker end of the stem?
L186: you could add „Eq. 6“
L194: „virtually“ is confusing here as this is the actual experiment
L199: equation 2.1.2??
Fig.5 legend. „per xylem depth class“, (c) is actually the xylem radius (be more consistent)
Fig.6 Frequency: y-axis labels
L230: led
L238: led
L247-251: maybe make two sentences out of this very long one
L252: no comma
L254: „as fast as“
L255-L261: mention that velocities can be highly species-specific and size of tree etc.
L258: wasn’t this even in three heights?
L265: did you sample your stem for isotopic analysis? so that you could compare it directly?
L266-274: these are all different species, might be worth to emphasize this more
L270: start new sentence after “… beech)”
L278: led
L284: phrasing
L285: „more conductive pores“ than? be more precise
L287: „trees. It is“
L288: behave differently
L294: overrepresentation, over-representation reads nicer
L316: ?Dubbert, delete“?“
L316: phrasing

Citation: https://doi.org/10.5194/egusphere-2022-1492-RC2
- AC3: 'Reply on RC2', Stefan Seeger, 28 Apr 2023
  
  We would like to thank the anonymous second referee for their thorough review and for raising some intersting questions that will help to improve the initial submission.
  
  Please find our detailed responses in the attached PDF file.
  
  Citation: https://doi.org/10.5194/egusphere-2022-1492-AC3

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload

ED: Publish subject to revisions (further review by editor and referees) (31 May 2023) by Pierre Gentine

AR by Stefan Seeger on behalf of the Authors (12 Jul 2023) Author's response Author's tracked changes Manuscript

ED: Publish as is (18 Aug 2023) by Pierre Gentine

AR by Stefan Seeger on behalf of the Authors (18 Aug 2023) Manuscript

Journal article(s) based on this preprint

22 Sep 2023

Dye-tracer-aided investigation of xylem water transport velocity distributions

Stefan Seeger and Markus Weiler

Hydrol. Earth Syst. Sci., 27, 3393–3404, https://doi.org/10.5194/hess-27-3393-2023,https://doi.org/10.5194/hess-27-3393-2023, 2023

Short summary

Stefan Seeger and Markus Weiler

Viewed

Total article views: 604 (including HTML, PDF, and XML)

HTML	PDF	XML	Total	BibTeX	EndNote
388	191	25	604	11	7

HTML: 388
PDF: 191
XML: 25
Total: 604
BibTeX: 11
EndNote: 7

Views and downloads (calculated since 02 Jan 2023)

Month	HTML	PDF	XML	Total
Jan 2023	179	56	13	248
Feb 2023	49	31	0	80
Mar 2023	49	23	2	74
Apr 2023	30	19	4	53
May 2023	18	11	1	30
Jun 2023	18	5	2	25
Jul 2023	19	23	2	44
Aug 2023	11	12	0	23
Sep 2023	15	11	1	27

Cumulative views and downloads (calculated since 02 Jan 2023)

Month	HTML	PDF	XML	Total
Jan 2023	179	56	13	248
Feb 2023	49	31	0	80
Mar 2023	49	23	2	74
Apr 2023	30	19	4	53
May 2023	18	11	1	30
Jun 2023	18	5	2	25
Jul 2023	19	23	2	44
Aug 2023	11	12	0	23
Sep 2023	15	11	1	27

Viewed (geographical distribution)

Total article views: 625 (including HTML, PDF, and XML) Thereof 625 with geography defined and 0 with unknown origin.

Country	#	Views	%

Latest update: 22 Sep 2023

Download

The requested preprint has a corresponding peer-reviewed final revised paper. You are encouraged to refer to the final revised version.

Preprint (692 KB)
Metadata XML

Short summary

This study proposes a low-budget method to visualize the radial distribution of water transport velocities within trees at a high spatial resolution. We observed a wide spread of water transport velocities within a tree stem section, which were on average three times faster than the flux velocity. The distribution of transport velocities has implications for studies that use water isotopic signatures to study root water uptake processes and usually assume uniform or even infinite velocities.


Total:	0
HTML:	0
PDF:	0
XML:	0