Referee 2, revised manuscript 2018_288-version 3
Title: “Plants or bacteria? 130 years of mixed imprints in Lake Baldegg sediments (Switzerland), as revealed by compound-specific isotope analysis (CSIA) and biomarker analysis”
Authors: Marlène Lavrieux, Axel Birkholz, Katrin Meusburger, Guido L.B. Wiesenberg, Adrian Gilli, Christian Stamm, Christine Alewell
Comments and over view:
The authors have largely answered the referee’s comments. There is obviously a missing source in the polygons and this has been discussed with suggested sources, both allochthonous and autochthonous being raised as possibilities. It is Okay to state that there is an unknown source.
The only remaining contentious issue is the question of the Suess effect, what it means to this study and how it should be calculated. There is also some confusion in the authors understanding of how the CSIA data is incorporated into the soil and thus how it is corrected.
Referring to section 4.2.3 The necessity of “Suess effect” correction for terrestrial lipids in lake sediments”
Definitions: Terrestrial lipids are allochthonous, i.e., produced outside the lake. Autochthonous lipids are those produced, by whatever mechanism, in the lake water column or lake sediment.
The lipids of concern are the polar fatty acids, which exude from plant roots and bind ionically to the soil particles. They are sufficiently soluble that they can be moved by infiltration rainwater though the surface soils until they bind to the soil particles. Once they attach to the soil particle, they cannot be removed by natural processes, with the exception of bacterial consumption. Under those conditions the concentration of the FA will decrease BUT the isotopic signature of that FA pool remains unchained. As a consequence of this binding, the FAs attached to the soil particles do not have a turnover time, which would imply that they can be exchanged from the soil particles.
The FAs are not waxes. Waxes, including n-alkanes, are non-polar and do not bind to the soil particles. They are generally not soluble in water but form part of the soil humus. When the soil is washed off the land, the soil particles labelled with the FAs are carried to the downstream deposition zone, in this case, Lake Baldegg. During that transport mode, the light humic/organic component is separated from the original bulk soil and will eventually settle on top of the heavier soil particles in the lake. Because that material is organic it will be decomposed rapidly by allochthonous bacteria. In contrast, the FA labelled soil particles will remain isotopically unchanged although the concentration may reduce over time as they are consumed by bacteria.
The application of the Suess correction can only be applied to the allochthonous FAs, because they are in contact with the atmosphere, which is experiencing the Suess effect. The autochthonous FAs may experience some of the atmospheric Suess effects, but they will also experience the biogenically altered CO2 from sediment decomposition processes and plant respiration. This effect has been correctly discussed by the authors. Since these latter processes have not been assessed or documented, the authors have correctly not attempted to model the allochthonous sources in the historical sediments. (There is no reason why they couldn’t model the contemporary sediment in the lake surficial sediments, but they haven’t.)
With these basic facts as a starting point, the description of how the Suess effect affects the CSIA values and how the correction for this effect should be calculated is misleading at best and is misinformation, which should not be in this manuscript or any other.
Of particular concern is the lumping of the FA component bound to the soil particles with the organic carbon from leaf litter and crop debris. When these are mixed in the soil they will have a turnover time associated with the natural carbon cycle, as described by the authors. However, the authors have combined the two distinctly different forms of soil carbon into a supposed soil label, and that is wrong. Only the FAs bound to the soil particles act as labels. The leaf litter could have been blown into the landscape from anywhere, thus contaminating the isotopic signature of the defined land use. Most importantly, because this organic debris is non-polar, it cannot bind to the soil as a label, as explained above.
Yes, the organic debris will breakdown and yes, there are FAs in the organic debris. The difference is that those FAs are already ionically bound to other organic debris and are not able to bind to the soil particles. If bacterial decomposition does release a free FA, it will be a shorter chain length than the FA labels being measured and will not affect the CSIA values of the long chain length FAs being used as labels.
The use of the Feng 1998 equation is not appropriate for the Suess correction. The equation published by Verburg (2007) should be used. The use of the Verburg equation needs to be promoted as the standard method for Suess correction rather than using older equations that do not have the level of sophistication of the Verburg equation. The Verburg equation shows a present day isotopic depletion of the CO2 in the atmosphere of just over 2.5‰ since the beginning of the industrial revolution, which is generally accepted as 1700AD.
The authors are correctly trying to eliminate the Suess effect as the cause of the much larger isotopic depletion of some of the sediment FA tracers in the lake. This can be done with a simple statement just like that: e.g., “The isotopic depletion due to the Suess effect is estimated to be about -2.5‰ since 1700AD (Verburg 2007) and is, therefore, unlikely to have a substantial effect on the autochthonous production of FAs by lacustrine processes. Consequently, the large isotopic depletion observed is most likely from an unknown autochthonous source or associated with draining wetlands etc, etc . . .” Write it how you want. This is all that is needed in this manuscript.
I strongly recommend that the misinformation in section 4.2.3 is removed by deleting everything from page 9, line 23 starting “We thus want to discuss “.to.” speculative” on page 10, line 28, and rewriting the text in a form similar to that suggested above. Figure S4-7 and Table S4-5 may need to be revised to match this textual change, if they are still needed.
The reason for the deletion is that the Suess effect can quickly be eliminated as a causal influence, as suggested above, and is, therefore, not a significant component of the manuscript. As it is written, it is a distraction and the reader would be justified in asking “Why did the authors put this in, it adds nothing to the manuscript and is very confusing.”
General comments:
Throughout the manuscript, the range between two values has been either a dash “-“ or the word “to”. Because some of the numbers have negative values (e.g., -40.0 - -43.3‰), the word “to” should be used consistently throughout the manuscript.
The abbreviation “FA” has been defined as “fatty acid” in the abstract only. This definition must be repeated in the manuscript text at the first occurrence of FA. The abbreviation should then be used consistently throughout the manuscript.
The author’s proof reading of their manuscript is not good. There are nine references which are not cited in the text and two references that have no year. See “references section below”.
Specific points:
Page 6, Line 12: I disagree with the general statement that “The isotopic signature of the samples older than 1940 and from 1964 - 1972 fall out of the source soils mixing polygon, making the use of a mixing model to quantify the contribution of different land-uses to sediment inputs impossible. Certainly, before 1972, source proportion modelling would be inappropriate until the missing source has been found. However, where the more recent sediment CSIA data falls within the mixing polygon, those data can be modelled, and should be for the completeness of this manuscript. I can recommend the use of MixSIAR, without including concentration or any other “priors”.
Page 8, Line 19: Why would you expect higher fatty acid concentrations in lake sediments compared to source soils? Unless the autochthonous fatty acids are produced in the sediment, where they can bind to the sediment particles, they will deposit on the sediment surface where they can be rapidly destroyed by bacterial decomposition processes. This means that the concentrations in the lake will decrease. Recommend that this sentence and the next are deleted as unnecessary and speculative.
Page 8, line 24: Change “-70+-15‰” to “-70 ±15‰”
Page 8, lines 29 and 30 (and elsewhere): Where did the “n-fatty acids” expression come from. Please remove the “n-“ and just use “FAs” consistently throughout the manuscript.
Page 13, Line 11: The sentence “As expanded above (Sect. 4.2.), a high discrepancy in isotopic values between long-chain FAs of close chain-length points to a degradation of the isotopic signal.”
No it doesn’t point to degradation. It probably points to a variable amount of the unknown source or other sources in the FA mixture in the sediment. The isotopic signal will only change through fractionation, and fractionation will destroy the original long chain FAs producing shorter chain FAs, which are not measured or included in the data. Since part of section 4.2. should have been deleted, this sentence and the following sentences need to be checked against the rewrite of section 4.2.3 for consistency. As written, this appears to be an example of where earlier speculation and misinformation has been treated as fact, thereby perpetuating misinterpretation of the otherwise good data.
Page 9, Line 23: (Verburgh 2007) incorrect spelling of ‘Verburg’
Page 13, line 29: The sentence “The CSIA signals of arable lands as well as orchards plot halfway between grasslands and forests, which may render difficult to correctly attribute the sources of sediment samples lying between grasslands and forests end-members.”
They don’t always plot in the same positions with the different isotopic tracers, therefore discrimination should be possible. Have you tried to model the data using a stable isotopic mixing model, such as “MixSIAR”, just using the contemporary surface lake sediment as the lake endmember? The surficial sediment will have received negligible effect from any possible autochthonous source. Just looking at the isotopic signatures gives an indication of which sources are present. Modelling the isotopic signatures gives a robust assessment of the isotopic proportions. Using an isotope-to-soil proportion converter, as presented in Gibbs 2008, gives the proportional contribution of each source soil to the sediment mixture. These calculations will be valid to a date/depth of about 1970 and would add greatly to the usefulness of this manuscript.
Page 14, line 3: The text “(2) would hint into the direction of an additional source with low C28:0 FA concentrations . . .”. The interpretation of the data doesn’t “hint in the direction of” it ‘indicates an additional source’. That source doesn’t have “low C28:0 FA concentrations” it has ‘a depleted C28:0 FA isotopic signature’. Since concentration is not a factor when dealing with isotopic signatures, the relationship between C28:0 and C24:0 and C26:0 FAs should be checked in the text statements and discussion.
Page 14, line 8: “(iii) algae with depleted δ13C values due to described effects of hydoxilation reaction of CO2 combined with high pH values in the epilimnion and CO2 undersaturation, . .”
This paragraph does not fit what you are describing and should be deleted.
Explanation: The high pH by itself does not alter the isotopic signature of C. High pH in the water column is most likely due to consumption of dissolved CO2 by algae during photosynthesis, which is what you are alluding to. The algal species that cause the highest pH are cyanobacteria, which are bicarbonate adapted so that they can utilise bicarbonate (HCO3) when all the CO2 has been used. Thus, they outcompete non-bicarbonate adapted algae such as greens and diatoms. However, cyanobacteria are buoyant and tend to stay near the surface for high light and, since the majority of the CO2 and HCO3 at the lake surface water will be of atmospheric origin, their isotopic signatures will mostly reflect the atmospheric value -12‰ for fractionation. The cyanobacteria can come into contact with isotopically depleted CO2 when the lake mixes in autumn releasing the nutrients (especially P) and the methanogenically-derived isotopically depleted CO2 that have accumulated in the bottom waters. (Aquatic macrophytes can also raise the pH if they are bicarbonate adapted).
Page 14, line 14: The text “CSIA was proven to be not suitable to quantitatively unmix terrestrial sources from the Lake Baldegg historic sediments, and thus to apportion the relative contribution of different land-uses to the sedimentary archive as long as the isotopic signal of the missing source is not known.”
This is not strictly correct. It was not ‘proven’ that CSIA was not suitable to quantitatively unmix terrestrial sources from Lake Baldegg historic sediment, the authors have stated that, because the isotopic data from the historic sediments did not fall inside the mixing polygon, they would not model them. That is a valid approach but does not constitute proof that CSIA was not suitable to quantitatively unmix, it means that the data was unsuitable to be modelled using CSIA to quantitatively unmix. Very important difference.
In this respect, there is no evidence in the manuscript that the authors have attempted to model any isotopic data, including the data that did fall inside the polygon. This is a missing element that could improve the paper.
Notwithstanding this, the conclusion that the authors see the imprints of plants AND bacteria in the Lake Baldegg sediments is an important finding and that conclusion can be drawn from the data presented without modelling.
References:
Jansen, B., van Loon, E.E., Hooghiemstra, H. and Verstraten, J.M., Improved reconstruction of palaeo-environments through unravelling of preserved vegetation biomarker patterns, Palaeogeogr. Palaeocl., 285, 119-130.
Reference has no date and is not cited in the text.
Jansen, B., de Boer, E.J., Cleef, A.M., Hooghiemstra, H., Moscol-Olivera, M., Tonneijck, F.H. and Verstraten, J.M., Reconstruction of late Holocene forest dynamics in northern Ecuador from biomarkers and pollen in soil cores, 25 Palaeogeogr. Palaeocl., 386, 607-619, 2013.
Reference not cited in text.
Keeling, C.D., The Suess effect: 13Carbon–14Carbon interrelations, Environ. Int., 2, 229–300, 1979
Reference not cited in text.
Krull, E.S., Skjemstad, J.O., Burrows, W.H., Bray, S.G., Wynn, J.G., Bol, R., Spouncer, L., and Harms, B., Recent vegetation changes in central Queensland, Australia: Evidence from d13C and 14C analyses of soil organic matter, Geoderma, 126, 241-259, 2005.
Reference not cited in text.
Réveillé, V., Mansuy, L., Jardé, E. and Garnier-Sillam, E.: Characterisation of sewage sludge-derived organic matter: lipids and humic acids, Org. Geochem., 34, 615-627.
Reference has no date.
Schelske, C.L., and Hodell, D.A., Using carbon isotopes of bulk sedimentary organic matter to reconstruct the history of nutrient loading and eutrophication in Lake Erie, Limnol. Oceanogr., 40, 918-929, 1995.
Reference not cited in text.
Steger, K., Premke, K., Gudasz, C., Boschker, H & Tranvik, L.: Comparative study on bacterial carbon sources in lake sediments: The role of methanotrophy. Aquat. Microb. Ecol., 76, 39-47, 2015
Reference not cited in text.
Suess, H.E., Radiocarbon concentration in modern wood, Science, 122, 415–417, 1955
Reference not cited in text.
Upadhayay, H.R., Bodé, S., Griepentrog, M., Huygens, D., Bajracharya, R.M., Blake, W.H., Dercon, G., Mabit, L., Gibbs, M., Semmens, B.X., Stock, B.C., Cornelis, W. and Boeckx, P.: Methodological perspectives on the application of compound specific stable isotope fingerprinting for sediment source apportionment. Journal of Soils and Sediments, 17, 1537–1553, 2017.
Reference not cited in text.
van Bergen, P.F., Bull, I.D., Poulton, P.R. and Evershed, R.P.: Organic geochemical studies of soils from the Rothamsted classical experiments. I - Total lipid extracts, solvent insoluble residues and humic acids from Broadbalk wilderness, Org. Geochem., 26, 117-135, 1997.
Reference not cited in text. |