Exotic tree plantations in the Chilean Coastal Range: Balancing effects of discrete disturbances, connectivity and a persistent drought on catchment erosion

Tolorza, Violeta; Mohr, Christian H.; Zambrano-Bigiarini, Mauricio; Sotomayor, Benjamín; Poblete-Caballero, Dagoberto; Carretier, Sebastien; Galleguillos, Mauricio; Seguel, Oscar

doi:https://doi.org/10.1002/essoar.10512068.3

Preprints

https://doi.org/10.1002/essoar.10512068.3

Preprints

30 Aug 2023

| 30 Aug 2023

Exotic tree plantations in the Chilean Coastal Range: Balancing effects of discrete disturbances, connectivity and a persistent drought on catchment erosion

Violeta Tolorza, Christian H. Mohr, Mauricio Zambrano-Bigiarini, Benjamín Sotomayor, Dagoberto Poblete-Caballero, Sebastien Carretier, Mauricio Galleguillos, and Oscar Seguel

Abstract. The Coastal Range in the Mediterranean segment of Chile is a soil mantled landscape with potential to store valuable supplies of fresh water and support a biodiverse native forest. Nevertheless, human intervention has been increasing soil erosion for ~200 yr, with intensive management of exotic tree plantations during the last ~45 yr. At the same time, this landscape has been affected by a prolonged megadrought, and is not yet well understood how the combined effect of anthropogenic disturbances and hydrometeorologic trends affect sediment transport at the catchment scale.

In this study we calculate a decadal-scale catchment erosion rate from suspended sediment loads and compare it with a 10⁴-year-scale catchment denudation rate estimated from detritic ¹⁰Be. We then contrast these rates against the effects of discrete anthropogenic disturbances and hydroclimatic trends. Erosion/denudation rates are similar on both time scales, i.e. 0.018 ±0.005 mm/yr and 0.024 ±0.004 mm/yr, respectively. Recent human-made disturbances include logging operations during each season and a dense network of forestry roads, which increase structural sediment connectivity. Other disturbances include two widespread wildfires (2015 and 2017) and one Mw 8.8 earthquake (2010).

We observe a decrease in suspended sediment load during the wet seasons for the period 1986–2018 coinciding with declines in streamflow, baseflow and rainfall. The low 10⁴-year denudation rate agrees with a landscape dominated by slow diffusive soil creep. However, the low 10-year-scale erosion rate and the decrease in suspended sediments are not in agreement with the expected effect of intensive anthropogenic disturbances and increased structural (sediment) connectivity. These paradox suggest that, either suspended sediment loads and, thus, catchment erosion, are underestimated, and/or that decennial sediment detachment and transport were smeared by decreasing rainfall and streamflow. Our findings indicate that human-made disturbances and hydrometeorologic trends may result in opposite, partially offsetting effects on recent erosion, but both contribute to the landscape degradation.

Received: 02 Aug 2023 – Discussion started: 30 Aug 2023

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Journal article(s) based on this preprint

05 Jul 2024

Exotic tree plantations in the Chilean Coastal Range: balancing the effects of discrete disturbances, connectivity, and a persistent drought on catchment erosion

Violeta Tolorza, Christian H. Mohr, Mauricio Zambrano-Bigiarini, Benjamín Sotomayor, Dagoberto Poblete-Caballero, Sebastien Carretier, Mauricio Galleguillos, and Oscar Seguel

Earth Surf. Dynam., 12, 841–861, https://doi.org/10.5194/esurf-12-841-2024,https://doi.org/10.5194/esurf-12-841-2024, 2024

Short summary

Violeta Tolorza, Christian H. Mohr, Mauricio Zambrano-Bigiarini, Benjamín Sotomayor, Dagoberto Poblete-Caballero, Sebastien Carretier, Mauricio Galleguillos, and Oscar Seguel

Interactive discussion

Status: closed

RC1: 'Comment on egusphere-2023-1783', Amanda Schmidt, 04 Oct 2023

This paper looks at the effects of tree plantations on erosion in the coastal range in Chile by comparing suspended sediment concentration to in situ 10Be-derived erosion rates in the context of hillslope connectivity and detailed land use land cover change mapping. Although the authors do not have particularly conclusive results and the methods are not that new, I really like this paper. The data are well explained and the results are interesting. It's a bit puzzling to see so little difference between the two different metrics of erosion and the authors do a good job thinking about why that might be.
I do have a few very minor points that I would like to see the authors clarify.
1) end of page 14 (around line 307), I got to wondering if storage in the system, like in floodplains or alluvial fans, could be part of the reason for the depressed sediment concentration. That is brought up later, but forecasting it earlier on would make things clearer.
2) The last word on line 307 ("This") is a pronoun that is unclear. I am not sure what "this" is.
3) Is it possible that with the high rates of chemical weathering and likely deep regolith, the 10Be is an underestimate of long-term denudation rates? (see: Campbell, M. K., P. R. Bierman, A. H. Schmidt, R. S. Hernandez, A. Garcia-Moya, L. B. Corbett, A. J. Hidy, H. C. Aguila, A. G. Arruebarrena, G. Balco, D. Dethier, M. Caffee (2022). Cosmogenic nuclide and solute flux data from central Cuba emphasize the importance of both physical and chemical denudation in highly weathered landscapes. Geochronology. )
4) Along the same lines of questioning the 10Be data, is it possible that you have stripped so much soil that these are artificially elevated and don't actually reflect the long-term pre-people rates? (like Hewawasam et al found in Sri Lanka [Hewawasam, Tilak, et al. "Increase of human over natural erosion rates in tropical highlands constrained by cosmogenic nuclides." Geology 31.7 (2003): 597-600.] or Schmidt et al (ESurf) found in China [Schmidt, A. H., Neilson, T. B., Bierman, P. R., Rood, D. H., Ouimet, W. B., and Sosa Gonzalez, V., 2016, Influence of topography and human activity on erosion in Yunnan: Earth Surface Dynamics , v. 4, n. 4, p. 819-830. http://www.earth-surf-dynam.net/4/819/2016/])
5) Is it possible that the hillslopes have been so disturbed that the sediment is totally stripped from them, leaving the hillslopes in a detachment limited system even while the valleys have stored sediment that is transport limited? Given the magnitude of erosion you are talking about, it seems like this could be possible. I could be entirely out to lunch though, not knowing the area, and I do think that intermediate hillslope storage is a reasonable explanation.
6) The first two sentences of the conclusions are printed twice.
This is a really neat study and I look forward to seeing the final version published.

Citation: https://doi.org/10.5194/egusphere-2023-1783-RC1
RC2: 'Comment on egusphere-2023-1783', Thomas Hoffmann, 09 Oct 2023

The authors present an interesting study on the development of stream flow and suspended sediment transport in Chilean headwater systems that are conditioned by changes of multiple drivers (drought, wild wire, tree plantations). This study is relevant and valuable to be published in the journal ESurf. The aim of the study, to extract the effect of tree plantations and wild fires on sediment transport is very challenging. In the end, the discussion of the results is very general and I have the feeling that the authors missed the chance to analyse the data in more detail (see general and detailed comments) and learn more about the specific controls. I made some suggestions to more specific approaches, which might shed more light to the discussion. Overall, I suggest major revisions following my general and detailed comments before publication.
Kind regards, Thomas

General comments:
Unravelling causes/drivers of changing suspended sediment transport is a challenging task give the multiple interdepended drivers of suspended sediment loads. The authors are correct stating that an unambiguous attribution of cause and effect is difficult to assess. In this study the authors rely their statements mainly on the trend analysis. However, more statistical approaches are available to learn more about the driving factors.
The major issue is that SSD (load) is directly related to Q, since it is part of the calculation of the load. SSC (suspended sediment concentration) is strongly conditions by Q, but is not directly related to its estimation. Changes in sediment supply should therefore be discussed by changes in SSC. To see if changes in SSC are related to changes in Q or by changing sediment supply from hillslope sediment rating analysis could be performed, e.g. SSC = a(Q/Qm)^b) à changes in coefficient “a”, which is the suspended sediment supply at Q=Qm should be related to changing supply conditions that are not related to changes in Q (see for instance Warrick 2015, WRR or Hoffmann et al. 2023, ESurf). I suggest to add a trend analysis of the rating parameters, to learn more about changing supplies.
Additionally, the observed patterns is superimposed by a declining trend. To extract the effect of single events (wild fire, Earthquake etc.) the authors should focus on the residuals of single years (with and without events) with repsect to these long-term trends.

Detailed comments:
Line 31: rephrase „Mediterranean section (35-37.5o S) of the Chilean Coastal Range (CCR)”
Line 33: “slow denudation rates” à typically Mediterranean regions are characterized by high rates of soil erosion and gullying.
Line 34: “secondary native forest” à should be explained
Line 52: “the CCR ranks amongst the highest…” rephrase to “CCR ranks amongst regions with highest forest loss and gains worldwide”.
Line 55ff: are the statements limited to the “storm and yearly scale”? Furthermore, no other scales are mentioned later on à I suggest to remove the reference to the time scale.
Line 87: “transport-limited conditions” à this strongly depends on the dominant grain size. Only streams in the humid south of the CCR show transport limited conditions à see and refer to Terweh et al (2019, Geomorphology)
Line 90: The two time-scales fall out off the box here: Why 10^4 years? à You should motivate the use of the two time-scale. Since 10^4 Yr is related to 10Be, we should explain here why you use 10Be!
Line 135: is there any chance to identify gaps due to ceased stream flow and gaps due to measurement errors/mistakes, defect measurement devices?
Line 149: the use of 10Be in the context of LULCC impacts should be motivated in the introduction
Line 213: The calculation of RC needs more explanation. How did you calculate IC_rs and IC_s? What was the reference point of both calculations? Does IC_s is the connectivity of hillslopes with streams and IC_rs the connectivity to either streams or roads, meaning that you treat roads as streams? What is the effect of subtracting both and what are the major assumptions in this approach? Please give more details on your approach. If I understood it correctly, calculating IC_rs assumes that the connectivity of roads is 100%, meaning that very sediment that enters a road will immediately enter the stream. Am I correct and is this assumption valid? If yes, what about roads that are not connected to streams or that first go downhill and uphill afterwards? Could you show these effects of using IC_s and IC_rs based on a simplified graphic?
Line 240ff: Not clear what exact criteria you used to define alpha=0.7. I would be helpful to use ranges of alpha to show confidence intervals of the analysis. The presented results of the main topic (changing suspended sediment loads) is very limited. More detailed description of the results should be given.
Line 255ff: This is in line with the comment in Fig. 5: It seems that you calculate the percentiles of annual estimates (as suggested by the units per year). Percentiles are derived from probability distributions, but as far as I understand you only have a single estimate of the annual load of each year. If you use the daily measurements as annual distributions you should highlight this using the correct units (e.g. t/day). Please clarify.
Line 257: “Only the lower percentiles of SSD revert the decreasing trend at the end of the time series”?????? I don’t see that!!!!!
Line 260: How do you see if data are homoscedastic? Homoscedastic data show a normal distribution of residuals with respect to predicted values (e.g. using a linear regression). Why is homoscedasticity important in this context?
Line 263: post-wild fire SSC/SSD is very low (due to low discharges) and changes of SSC are mainly related to changing discharges. Again, a rating analysis of pre and post-fire SSC~Q relationships would be very helpful.
Line 276-277: you should also indicate whether there are places that show reduced connectivity, as the legend in Fig.8c indicates that there are areas with negative RC.
Line 280: The threshold is very arbitrary and likely depends on the input data and their resolution. Therefore, it is questionable if the threshold from another study can be used here. If the definition of a “threshold” is necessary, why don’t you use the distribution of IC to identify breakpoints.
Line 328: In Figure 6 no mean stream flow is visible. The question is whether means stream flow is a good proxy of the impact of wildfire. Streamflow is strongly related to rainfall. Thus, stream flow should be related to rainfall to see the effects of the wild fire.
Line 335: Whether sediment transport is transport-limited or not depends on the grain size. This should be discussed.
Line 338f: “a lack of minimum rainfall intensity required to trigger runoff and soil erosion on hillslopes (Mohr et al., 2013) and/or an increase in the residence time of sediments stored within the valleys is plausible.” Not sure what you want to say?
Line 341-354: The discussion is very general and only weakly related to the results of the study. You should discuss the result from the IC here. The IC does not explain any changes of the transport capacity, but only regarding the connectivity between hillslopes and channels! How are the increased connectivity values related to the decreasing SSC?
Line 355ff: Again, limited links are drawn to the results of the study.

Figure 4: Stream flow and base flow show very similar pattern and similar tau values. Given the difficulties of defining the correct alpha value for stream flow separation and the similarity of the trends, I suggest to use total discharge as a more robust estimate of the discharge.
Figure 5: Please give more details on the percentiles. Percentiles of what? It seems that you calculate the percentiles of annual estimates. Percentiles are derived from probability distributions, but as far as I understand you only have a single estimate of the annual load of each year. I assume that you used the daily data here. This should somehow represent in the use of the unit. Please clarify.
Figure 6: Unfortunately there are major data gaps in SSC/SSD after the fires.
Figure 7: I suggest to represent burned areas as bar and not as “*”. The “*” are difficult to see.

Citation: https://doi.org/10.5194/egusphere-2023-1783-RC2
AC1: 'Comment on egusphere-2023-1783', Violeta Tolorza, 09 Nov 2023

The comment was uploaded in the form of a supplement: https://egusphere.copernicus.org/preprints/2023/egusphere-2023-1783/egusphere-2023-1783-AC1-supplement.pdf

Citation: https://doi.org/10.5194/egusphere-2023-1783-AC1
EC1: 'Comment on egusphere-2023-1783', Veerle Vanacker, 24 Nov 2023

Dear authors and reviewers,
The constructive and insightful comments of both referees provide clear guidelines to clarify some concepts and ideas that are put forward in the manuscript, and to further strengthen the discussion, and I sincerely thank them for their careful reading.
Both referees indicate that this study is relevant and can become an important piece of work on the impact of disturbances on sediment transport in the Andes, and I fully agree with this assessment.
I encourage the authors to revise their manuscript considering the referees’ suggestions, and to upload a revised manuscript and detailed response letter.
Warm regards,
Veerle Vanacker, Associate Editor

Citation: https://doi.org/10.5194/egusphere-2023-1783-EC1

Interactive discussion

Status: closed

RC1: 'Comment on egusphere-2023-1783', Amanda Schmidt, 04 Oct 2023

This paper looks at the effects of tree plantations on erosion in the coastal range in Chile by comparing suspended sediment concentration to in situ 10Be-derived erosion rates in the context of hillslope connectivity and detailed land use land cover change mapping. Although the authors do not have particularly conclusive results and the methods are not that new, I really like this paper. The data are well explained and the results are interesting. It's a bit puzzling to see so little difference between the two different metrics of erosion and the authors do a good job thinking about why that might be.
I do have a few very minor points that I would like to see the authors clarify.
1) end of page 14 (around line 307), I got to wondering if storage in the system, like in floodplains or alluvial fans, could be part of the reason for the depressed sediment concentration. That is brought up later, but forecasting it earlier on would make things clearer.
2) The last word on line 307 ("This") is a pronoun that is unclear. I am not sure what "this" is.
3) Is it possible that with the high rates of chemical weathering and likely deep regolith, the 10Be is an underestimate of long-term denudation rates? (see: Campbell, M. K., P. R. Bierman, A. H. Schmidt, R. S. Hernandez, A. Garcia-Moya, L. B. Corbett, A. J. Hidy, H. C. Aguila, A. G. Arruebarrena, G. Balco, D. Dethier, M. Caffee (2022). Cosmogenic nuclide and solute flux data from central Cuba emphasize the importance of both physical and chemical denudation in highly weathered landscapes. Geochronology. )
4) Along the same lines of questioning the 10Be data, is it possible that you have stripped so much soil that these are artificially elevated and don't actually reflect the long-term pre-people rates? (like Hewawasam et al found in Sri Lanka [Hewawasam, Tilak, et al. "Increase of human over natural erosion rates in tropical highlands constrained by cosmogenic nuclides." Geology 31.7 (2003): 597-600.] or Schmidt et al (ESurf) found in China [Schmidt, A. H., Neilson, T. B., Bierman, P. R., Rood, D. H., Ouimet, W. B., and Sosa Gonzalez, V., 2016, Influence of topography and human activity on erosion in Yunnan: Earth Surface Dynamics , v. 4, n. 4, p. 819-830. http://www.earth-surf-dynam.net/4/819/2016/])
5) Is it possible that the hillslopes have been so disturbed that the sediment is totally stripped from them, leaving the hillslopes in a detachment limited system even while the valleys have stored sediment that is transport limited? Given the magnitude of erosion you are talking about, it seems like this could be possible. I could be entirely out to lunch though, not knowing the area, and I do think that intermediate hillslope storage is a reasonable explanation.
6) The first two sentences of the conclusions are printed twice.
This is a really neat study and I look forward to seeing the final version published.

Citation: https://doi.org/10.5194/egusphere-2023-1783-RC1
RC2: 'Comment on egusphere-2023-1783', Thomas Hoffmann, 09 Oct 2023

The authors present an interesting study on the development of stream flow and suspended sediment transport in Chilean headwater systems that are conditioned by changes of multiple drivers (drought, wild wire, tree plantations). This study is relevant and valuable to be published in the journal ESurf. The aim of the study, to extract the effect of tree plantations and wild fires on sediment transport is very challenging. In the end, the discussion of the results is very general and I have the feeling that the authors missed the chance to analyse the data in more detail (see general and detailed comments) and learn more about the specific controls. I made some suggestions to more specific approaches, which might shed more light to the discussion. Overall, I suggest major revisions following my general and detailed comments before publication.
Kind regards, Thomas

General comments:
Unravelling causes/drivers of changing suspended sediment transport is a challenging task give the multiple interdepended drivers of suspended sediment loads. The authors are correct stating that an unambiguous attribution of cause and effect is difficult to assess. In this study the authors rely their statements mainly on the trend analysis. However, more statistical approaches are available to learn more about the driving factors.
The major issue is that SSD (load) is directly related to Q, since it is part of the calculation of the load. SSC (suspended sediment concentration) is strongly conditions by Q, but is not directly related to its estimation. Changes in sediment supply should therefore be discussed by changes in SSC. To see if changes in SSC are related to changes in Q or by changing sediment supply from hillslope sediment rating analysis could be performed, e.g. SSC = a(Q/Qm)^b) à changes in coefficient “a”, which is the suspended sediment supply at Q=Qm should be related to changing supply conditions that are not related to changes in Q (see for instance Warrick 2015, WRR or Hoffmann et al. 2023, ESurf). I suggest to add a trend analysis of the rating parameters, to learn more about changing supplies.
Additionally, the observed patterns is superimposed by a declining trend. To extract the effect of single events (wild fire, Earthquake etc.) the authors should focus on the residuals of single years (with and without events) with repsect to these long-term trends.

Detailed comments:
Line 31: rephrase „Mediterranean section (35-37.5o S) of the Chilean Coastal Range (CCR)”
Line 33: “slow denudation rates” à typically Mediterranean regions are characterized by high rates of soil erosion and gullying.
Line 34: “secondary native forest” à should be explained
Line 52: “the CCR ranks amongst the highest…” rephrase to “CCR ranks amongst regions with highest forest loss and gains worldwide”.
Line 55ff: are the statements limited to the “storm and yearly scale”? Furthermore, no other scales are mentioned later on à I suggest to remove the reference to the time scale.
Line 87: “transport-limited conditions” à this strongly depends on the dominant grain size. Only streams in the humid south of the CCR show transport limited conditions à see and refer to Terweh et al (2019, Geomorphology)
Line 90: The two time-scales fall out off the box here: Why 10^4 years? à You should motivate the use of the two time-scale. Since 10^4 Yr is related to 10Be, we should explain here why you use 10Be!
Line 135: is there any chance to identify gaps due to ceased stream flow and gaps due to measurement errors/mistakes, defect measurement devices?
Line 149: the use of 10Be in the context of LULCC impacts should be motivated in the introduction
Line 213: The calculation of RC needs more explanation. How did you calculate IC_rs and IC_s? What was the reference point of both calculations? Does IC_s is the connectivity of hillslopes with streams and IC_rs the connectivity to either streams or roads, meaning that you treat roads as streams? What is the effect of subtracting both and what are the major assumptions in this approach? Please give more details on your approach. If I understood it correctly, calculating IC_rs assumes that the connectivity of roads is 100%, meaning that very sediment that enters a road will immediately enter the stream. Am I correct and is this assumption valid? If yes, what about roads that are not connected to streams or that first go downhill and uphill afterwards? Could you show these effects of using IC_s and IC_rs based on a simplified graphic?
Line 240ff: Not clear what exact criteria you used to define alpha=0.7. I would be helpful to use ranges of alpha to show confidence intervals of the analysis. The presented results of the main topic (changing suspended sediment loads) is very limited. More detailed description of the results should be given.
Line 255ff: This is in line with the comment in Fig. 5: It seems that you calculate the percentiles of annual estimates (as suggested by the units per year). Percentiles are derived from probability distributions, but as far as I understand you only have a single estimate of the annual load of each year. If you use the daily measurements as annual distributions you should highlight this using the correct units (e.g. t/day). Please clarify.
Line 257: “Only the lower percentiles of SSD revert the decreasing trend at the end of the time series”?????? I don’t see that!!!!!
Line 260: How do you see if data are homoscedastic? Homoscedastic data show a normal distribution of residuals with respect to predicted values (e.g. using a linear regression). Why is homoscedasticity important in this context?
Line 263: post-wild fire SSC/SSD is very low (due to low discharges) and changes of SSC are mainly related to changing discharges. Again, a rating analysis of pre and post-fire SSC~Q relationships would be very helpful.
Line 276-277: you should also indicate whether there are places that show reduced connectivity, as the legend in Fig.8c indicates that there are areas with negative RC.
Line 280: The threshold is very arbitrary and likely depends on the input data and their resolution. Therefore, it is questionable if the threshold from another study can be used here. If the definition of a “threshold” is necessary, why don’t you use the distribution of IC to identify breakpoints.
Line 328: In Figure 6 no mean stream flow is visible. The question is whether means stream flow is a good proxy of the impact of wildfire. Streamflow is strongly related to rainfall. Thus, stream flow should be related to rainfall to see the effects of the wild fire.
Line 335: Whether sediment transport is transport-limited or not depends on the grain size. This should be discussed.
Line 338f: “a lack of minimum rainfall intensity required to trigger runoff and soil erosion on hillslopes (Mohr et al., 2013) and/or an increase in the residence time of sediments stored within the valleys is plausible.” Not sure what you want to say?
Line 341-354: The discussion is very general and only weakly related to the results of the study. You should discuss the result from the IC here. The IC does not explain any changes of the transport capacity, but only regarding the connectivity between hillslopes and channels! How are the increased connectivity values related to the decreasing SSC?
Line 355ff: Again, limited links are drawn to the results of the study.

Figure 4: Stream flow and base flow show very similar pattern and similar tau values. Given the difficulties of defining the correct alpha value for stream flow separation and the similarity of the trends, I suggest to use total discharge as a more robust estimate of the discharge.
Figure 5: Please give more details on the percentiles. Percentiles of what? It seems that you calculate the percentiles of annual estimates. Percentiles are derived from probability distributions, but as far as I understand you only have a single estimate of the annual load of each year. I assume that you used the daily data here. This should somehow represent in the use of the unit. Please clarify.
Figure 6: Unfortunately there are major data gaps in SSC/SSD after the fires.
Figure 7: I suggest to represent burned areas as bar and not as “*”. The “*” are difficult to see.

Citation: https://doi.org/10.5194/egusphere-2023-1783-RC2
AC1: 'Comment on egusphere-2023-1783', Violeta Tolorza, 09 Nov 2023

The comment was uploaded in the form of a supplement: https://egusphere.copernicus.org/preprints/2023/egusphere-2023-1783/egusphere-2023-1783-AC1-supplement.pdf

Citation: https://doi.org/10.5194/egusphere-2023-1783-AC1
EC1: 'Comment on egusphere-2023-1783', Veerle Vanacker, 24 Nov 2023

Dear authors and reviewers,
The constructive and insightful comments of both referees provide clear guidelines to clarify some concepts and ideas that are put forward in the manuscript, and to further strengthen the discussion, and I sincerely thank them for their careful reading.
Both referees indicate that this study is relevant and can become an important piece of work on the impact of disturbances on sediment transport in the Andes, and I fully agree with this assessment.
I encourage the authors to revise their manuscript considering the referees’ suggestions, and to upload a revised manuscript and detailed response letter.
Warm regards,
Veerle Vanacker, Associate Editor

Citation: https://doi.org/10.5194/egusphere-2023-1783-EC1

Peer review completion

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

AR by Violeta Tolorza on behalf of the Authors (22 Dec 2023) Author's response Author's tracked changes Manuscript

ED: Referee Nomination & Report Request started (08 Jan 2024) by Veerle Vanacker

RR by Thomas Hoffmann (01 Feb 2024)

Suggestions for revision or reasons for rejection

Comment on the revised manuscript ”Exotic tree plantations in the Chilean Coastal Range: Balancing effects of discrete disturbances, connectivity and a persistent drought on catchment erosion” submitted by Tolorza et al.
The quality of the manuscript greatly improved after the first revision and should be accepted after minor revisions. See comments below.

Kind regards
Thomas Hoffmann

General comment:
The authors aim to identify the drivers of changings suspended sediment loads in the Purapel catchment, which has witnessed land use changes (tree plantations including strong clear-cuts), wild fires and superimposed climate changes (reduced rainfall which result in a reduction of discharge). The authors identify a declining trend of SSC esp during the autumn and winter months. Based on my first revision I suggested to add a sediment rating analysis to further analyze the reasons for the declining SSC. In their reply, the authors show that the rating coefficient a (SSC=a(Q/Qgeom)^b) shows not trend. This is e very interesting result which should be included in the manuscript because it highlights some potential explanations for changing SSC and SSL: SSC is changing but the rating coefficient “a” remains constant (“a” can be interpreted as SSC at Qgeom). This indicates that changes in SSC are not related to changes in sediment supply (which will affect “a”), but changes in discharge conditions (which affects average SSC, as SSC is related to Q). However, the authors argue not to include the rating analysis, because it does not show a significant trend. I suggest to include the analysis and to support the authors statement that SSL is reduced due to the sever drought conditions in the catchment.

Detailed comments:
Line 35+36: observing 2m thick soils under native forest, does not mean that this is the minimum soil thickness. It suggests that soils under natural vegetation cover might be 2m thick. However, soil thickness is strongly conditioned by topography (esp. curvature) as well. Please rephrase.
Line 114: remove “)” after PET
Line 254: “10Be denudation rater resulted in 0.024 ±0.004 mm/yr”, rephrase
Line 258: In addition to the limitations of the sampling for reliable load estimates, using SSD as a proxy of erosion rate is mainly limited by the sediment deliver ratio < 1.
Line 261: “Both rates do not statistically differ” --> that is true, but does this assumption also hold if SDR of the catchments is <0.7 (as in many catchments of the world), which would increase the erosion rate?
Line 293: “We achieved a confusion matrix with a balanced accuracy of 0.86 and a F1 score of 0.69” --> this should be explained in the methods.
Line 317ff: you could clarify the transient storage effect using the SDR concept and state typical SDR values.
Line 380: if you assume that tree plantations started ~200 years ago, and that soils, which were 2m thick, are now removed, you would assume that average soil erosion during the last 200 years is in the order of 10mm/a, which is orders of magnitudes higher than rate presented in this study (mainly Chapter 3.2). If we assume that soil erosion adapted quickly after the introduction of tree plantations, then this erosion rate was likely much higher in the past and recent rates are now decreased due exhausted sediments (supply limitation). In this context, the similarity between long-term and recent rates can interpretd to be same erosion rate under supply limited conditions (but for different reasons) or be mere chance.
Line 386: strams --> streams
Line 388: than --> that ?
Line 390 +391: this is not supported by the results from the rating analysis. Changing SSC is mainly related by decreased Q and not by decreased supply for a given discharge (i.e. Qgeom as expressed by the a-coefficient).

Hide

RR by Amanda Schmidt (09 Feb 2024)

ED: Publish subject to minor revisions (review by editor) (21 Feb 2024) by Veerle Vanacker

AR by Violeta Tolorza on behalf of the Authors (24 Mar 2024) Author's response Author's tracked changes Manuscript

ED: Publish subject to technical corrections (29 Apr 2024) by Veerle Vanacker

ED: Publish subject to technical corrections (08 May 2024) by Tom Coulthard (Editor)

AR by Violeta Tolorza on behalf of the Authors (16 May 2024) Author's response Manuscript

Journal article(s) based on this preprint

05 Jul 2024

Exotic tree plantations in the Chilean Coastal Range: balancing the effects of discrete disturbances, connectivity, and a persistent drought on catchment erosion

Violeta Tolorza, Christian H. Mohr, Mauricio Zambrano-Bigiarini, Benjamín Sotomayor, Dagoberto Poblete-Caballero, Sebastien Carretier, Mauricio Galleguillos, and Oscar Seguel

Earth Surf. Dynam., 12, 841–861, https://doi.org/10.5194/esurf-12-841-2024,https://doi.org/10.5194/esurf-12-841-2024, 2024

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Violeta Tolorza, Christian H. Mohr, Mauricio Zambrano-Bigiarini, Benjamín Sotomayor, Dagoberto Poblete-Caballero, Sebastien Carretier, Mauricio Galleguillos, and Oscar Seguel

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Cumulative views and downloads (calculated since 30 Aug 2023)

Month	HTML	XML
Aug 2023	35	35
Sep 2023	66	66
Oct 2023	51	51
Nov 2023	20	20
Dec 2023	16	16
Jan 2024	7	7
Feb 2024	13	13
Mar 2024	10	10
Apr 2024	18	18
May 2024	10	10
Jun 2024	34	34
Jul 2024	1	1

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Short summary

We calculated disturbances and landscape lowering rates at different time scales on a ~406 km² catchment in the Chilean Coastal Range. There, intensive management of exotic tree plantations includes short rotational cycles (planting-harvest by clear cut-replanting) of 9–25 years long, dense networks of forestry roads increasing connectivity, and a recent increase in wildfires. At the same time, persistent drought conditions and high water demand of fast growing trees reduces water availability.


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