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Evaluating ex situ rates of carbon dioxide flux from northern Borneo peat swamp soils

Subject: Earth and Environmental Science

Published online by Cambridge University Press:  18 January 2022

Eliza Low Ying Si
Affiliation:
Department of Geography, King’s College London, London, United Kingdom
Michael A. Chadwick*
Affiliation:
Department of Geography, King’s College London, London, United Kingdom
Thomas E. L. Smith
Affiliation:
Department of Geography, London School of Economics and Political Science, London, United Kingdom
Rahayu Sukmaria Sukri
Affiliation:
Faculty of Science, Universiti Brunei Darussalam, Gadong, Brunei Darussalam
*
*Corresponding author. Email: [email protected]

Abstract

This study quantified CO2 emissions from tropical peat swamp soils in Brunei Darussalam. At each site, soil was collected from areas of intact and degraded peat and CO2 flux, and total organic content were measured ex situ. Soil organic content (~20–99%) was not significantly different between intact and degraded forest samples. CO2 flux was higher for intact forest samples than degraded forest samples (~1.0 vs. ~0.6 μmol CO2 m−2 s−1, respectively) but did not differ among forest locations. From our laboratory experiments, we estimated a potential emissions of ~10–20 t CO2 ha−1 y−1 which is in the lower range of values reported for other tropical peat swamps. However, our results are likely affected by unmeasured variation in root respiration and the lability of resident carbon. Overall, these findings provide experimental evidence to support that clearance of tropical peat swamp forests can increase CO2 emissions due to faster rates of decomposition.

Type
Research Article
Information
Result type: Novel result
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2022. Published by Cambridge University Press

1. Introduction

Although tropical peatlands cover only ~300,000–500,000 km2 (Page et al., Reference Page, Rieley and Banks2011), they are an important carbon store (~2% of global soil carbon; Sabine et al., Reference Sabine, Heimann, Artaxo, Bakker, Chen, Field, Gruber, Le Quéré, Prinn, Richey and Romero Lankao2004). Southeast Asia (SEA) contains a large area of tropical peatlands (248,000 km2), storing up to 68.5 Gt of soil carbon or ~77% of the tropical peat carbon pool (Page et al., Reference Page, Rieley and Banks2011). However, between 1990 and 2007, 51,000 km2 of peat swamp forests in Peninsular Malaysia, Sumatra, and Borneo have been deforested and drained (Miettinen & Liew, Reference Miettinen and Liew2010). The lowering of groundwater levels and increase in soil temperatures (Sano et al., Reference Sano, Hirano, Liang, Hirata and Fujinuma2010) have been found to increase CO2 emissions from soil respiration (Hooijer et al., Reference Hooijer, Page, Jauhiainen, Lee, Lu, Idris and Anshari2012). Decomposition of these drained peatlands release 355–855 Mt of CO2 annually (Hooijer et al., Reference Hooijer, Page, Canadell, Silvius, Kwadijk, Wösten and Jauhiainen2010), contributing to global carbon emissions.

2. Objective

Recognizing the carbon losses from drained peat suggests that land clearance incurs a high “carbon debt” or “carbon payback time” (Danielsen et al., Reference Danielsen, Beukema, Burgess, Parish, Bruehl, Donald, Murdiyarso, Phalan, Reijnders, Struebig and Fitzherbert2009). A small number of studies report higher soil CO2 flux from drainage-affected peat swamp forests than deforested burnt peatlands (Jauhiainen et al., Reference Jauhiainen, Limin, Silvennoinen and Vasander2008), as well as oil and sago palm plantation sites (Melling et al., Reference Melling, Hatano and Goh2005), which provided evidence to support this proposition. Our goal was to provide additional estimates of CO2 emissions associated with decomposition from degraded and intact peatland using soils collected in Northern Borneo.

3. Methods

Soil samples (3× per site—10 cm diameter, 10 cm depth) were collected from degraded and intact peat at four sites in July 2014 (Figure 1; Jaafar et al., Reference Jaafar, Sukri and Procheş2017). Degraded sites had modified drainage and fire damage. Cores were sealed individually and transported to King’s College London. CO2 fluxes per core were measured using the LI-COR 6400-09. An airtight seal using a collar (10 cm diameter and 4.5 cm height) with 2.5 cm between the chamber bottom and peat was used. To avoid CO2 build-up, 400 ppm and delta of 5 ppm were used; efflux was measured from the mean of five cycles (LI-COR, 2011). A subsample of peat was used for organic content. Two-way ANOVA was used to test for location and forest condition effects on CO2 flux. Mann–Whitney was used for differences in organic content between forest conditions.

Figure 1. Location of peat sampling sites in the Belait District of Brunei Darussalam.

4. Results

Median CO2 flux of intact peat (0.977 ± 0.167 μmol CO2 m−2 s−1) was greater than degraded peat (0.565 ± 0.085 μmol CO2 m−2 s−1; Figure 2). Among the four locations, Anduki had the lowest flux and Badas had the highest (~0.25 vs. ~0.8 μmol CO2 m−2 s−1; Figure 2). Forest condition was a significant effect for CO2 flux (p = .022), but not location (p > .05) and there was no forest condition–location interaction (p > .05). Organic content (20–99%) was not significantly different between forest conditions (p > 0.05). However, Anduki sites had lower organic content and showed a more marked difference between intact and degraded samples. This may be due to Anduki being more similar to secondary forest than the other peat swamp locations (Jaafar et al., Reference Jaafar, Sukri and Procheş2017). Regardless, CO2 flux observed between forest types could not be attributed to differences in soil organic content (Figure 3).

Figure 2. Boxplots of peat CO2 flux by (a) forest condition (n = 12 for each condition) and (b) location (n = 6 for each location). Circles represent outliers. *p < .05; NS, not significant.

Figure 3. Scatterplot of peat CO2 flux against soil organic content. Different symbols are used to represent the location (circle: Anduki; inverted triangle: Badas; square: Kuala Balai; diamond: Rasau) and condition (filled: intact; empty: degraded) of sampling sites.

5. Discussion

We found lower emissions for degraded site compared to drainage-affected peat, oil palm, and Sago plantations (Melling et al., Reference Melling, Hatano and Goh2005) and from Kalimantan forests (Jauhiainen et al., Reference Jauhiainen, Limin, Silvennoinen and Vasander2008). These differences are expected because only emissions from peat and no other sources were measured in our lab-based estimates. Organic content for all sites were similar despite flux differences and this suggests more labile carbon at intact sites. One feature of our lab-based protocol is root respiration is eliminated and fluxes represent only decomposition. Nonetheless, ex situ measurement will vary from in situ values (Wang et al., Reference Wang, Zu, Wang and Takayoshi2005) and future field-based studies are needed.

6. Conclusions

These results provide evidence of higher CO2 emissions from intact than degraded forests. We caution that this should not be interpreted as evidence suggesting intact peat swamp forests are greater contributors to CO2 emissions than degraded lands. Rather, we suggest our findings provides empirical evidence to support the proposition that clearance of undisturbed peat swamp forests will incur a higher carbon debt for biofuel production than conversion of degraded forest sites (Danielsen et al., Reference Danielsen, Beukema, Burgess, Parish, Bruehl, Donald, Murdiyarso, Phalan, Reijnders, Struebig and Fitzherbert2009), due to higher CO2 emissions from peat decomposition.

Acknowledgments

The authors thank the Forestry Department of Brunei Darussalam and BioRIC for the entry permit and export permit respectively. Field assistance was provided by UBD undergraduates Khalish Hafizhah and Adrian Suhaili. Bruce Main (KCL) provided technical support in the lab. This research is in association with The International Consortium of Universities for the Study of Biodiversity and the Environment (iCUBE), a network of universities aimed at promoting collaborative research and education on biodiversity, climate change and the environment.

Funding Statement

This work was funded in part by the Department of Geography, King’s College London, the Royal Geographic Society and the International Consortium of Universities for the Study of Biodiversity and the Environment (iCUBE).

Author Contributions

M.A.C., T.E.L.S., and R.S.S. designed the field experiments and collected the samples. E.L.Y.S.I. designed, planned, and conducted all of the lab work, data analysis, and wrote the first draft. All authors contributed to writing the final draft of this research.

Data availability Statement

All data are presented within the paper.

References

Danielsen, F., Beukema, H., Burgess, N. D., Parish, F., Bruehl, C. A., Donald, P. F., Murdiyarso, D., Phalan, B. E. N., Reijnders, L., Struebig, M., & Fitzherbert, E.B. (2009). Biofuel plantations on forested lands: double jeopardy for biodiversity and climateConservation Biology, 23, 348358.CrossRefGoogle ScholarPubMed
Hooijer, A., Page, S., Canadell, J.G., Silvius, M., Kwadijk, J., Wösten, H., & Jauhiainen, J. (2010). Current and future CO2 emissions from drained peatlands in Southeast Asia. Biogeosciences, 7, 15051514.CrossRefGoogle Scholar
Hooijer, A., Page, S., Jauhiainen, J., Lee, W. A., Lu, X. X., Idris, A., & Anshari, G. (2012). Subsidence and carbon loss in drained tropical peatlands. Biogeosciences, 9, 10531071.CrossRefGoogle Scholar
Jaafar, S. M., Sukri, R. S., & Procheş, Ş. (2017). An investigation of soil physico-chemical variables across different lowland forest ecosystems of Brunei DarussalamMalaysian Journal of Science, 35, 151168.CrossRefGoogle Scholar
Jauhiainen, J., Limin, S., Silvennoinen, H., & Vasander, H. (2008) Carbon dioxide and methane fluxes in drained tropical peat before and after hydrological restoration. Ecology89, 35033514.CrossRefGoogle ScholarPubMed
LI-COR (2011). Chapter 28: Soil CO2 flux chamber. In: Using the LI-6400/LI6400XT portable photosynthesis system. Version 6.2. Nebraska: LI-COR Company, pp. 150.Google Scholar
Melling, L., Hatano, R., & Goh, K. J. (2005) Soil CO2 flux from three ecosystems in tropical peatland of Sarawak, MalaysiaTellus, 57B, 111.Google Scholar
Miettinen, J., & Liew, S. C. (2010). Degradation and development of peatlands in Peninsular Malaysia and in the islands of Sumatra and Borneo since 1990Land Degradation & Development21, 285296.CrossRefGoogle Scholar
Page, S. E., Rieley, J. O., & Banks, C. J. (2011). Global and regional importance of the tropical peatland carbon poolGlobal Change Biology, 17, 798818.CrossRefGoogle Scholar
Sabine, C. L., Heimann, M., Artaxo, P., Bakker, D. C., Chen, C. T. A., Field, C. B., Gruber, N., Le Quéré, C., Prinn, R. G., Richey, J. E., & Romero Lankao, P. (2004). Current status and past trends of the global carbon cycleScope-Scientific Committee on Problems of the Environment International Council of Scientific Unions, 62, 1744.Google Scholar
Sano, T., Hirano, T., Liang, N., Hirata, R., & Fujinuma, Y. (2010). Carbon dioxide exchange of a larch forest after a typhoon disturbanceForest Ecology and Management, 260, 22142223.CrossRefGoogle Scholar
Wang, H.M., Zu, Y.G., Wang, W.J., & Takayoshi, K. (2005). Notes on the forest soil respiration measurement by a Li-6400 systemJournal of Forestry Research, 16, (2), 132136.Google Scholar
Figure 0

Figure 1. Location of peat sampling sites in the Belait District of Brunei Darussalam.

Figure 1

Figure 2. Boxplots of peat CO2 flux by (a) forest condition (n = 12 for each condition) and (b) location (n = 6 for each location). Circles represent outliers. *p < .05; NS, not significant.

Figure 2

Figure 3. Scatterplot of peat CO2 flux against soil organic content. Different symbols are used to represent the location (circle: Anduki; inverted triangle: Badas; square: Kuala Balai; diamond: Rasau) and condition (filled: intact; empty: degraded) of sampling sites.

Reviewing editor:  Bartosz Adamczyk Natural Resources Institute Finland, Viikki, Helsinki, Finland, 00790
This article has been accepted because it is deemed to be scientifically sound, has the correct controls, has appropriate methodology and is statistically valid, and has been sent for additional statistical evaluation and met required revisions.

Review 1: Carbon dioxide flux from peat swamp soils in Brunei Darussalam, northern Borneo

Conflict of interest statement

Reviewer declares none

Comments

Comments to the Author: This is an interesting and well presented manuscript investigation the CO2 emissions from intact and degraded peatlands in SE Asia. I have some, hopefully, minor concerns which are detailed below.

The title could include that this in a lab-based experiment.

Soil respiration is mentioned. Howoever, it would be more appropriate to focus on heteretrophic respiration because you don’t have the root respiration component. Compare your results with results from heterotrophic respiration studies rather than total respiration.

It would be nice to define a hypothesis for your study. I found several similitudes between your findings and those from Cooper et al. 2020. For example, your samples from “intact forest” could represent the initial phase of conversion and your degraded peat samples could represent the mature oil palm plantation from such study. Your CO2 efflux was 0.4 umol/m2/s higher in the “intact” forest than in the degraded site and this is comparable to the 50% higher emissions found by the Cooper et al. study during the initial phases of peat swamp forest conversion. Your findings could support the hypothesis that conversion of peat swamp forests to other land uses result in higher CO2 emissions from heterotrophic respiration.

Provide more information about the degraded site (current land use and site-specific conditions)

Was the soil moisture content the same across all samples?)

Fig1. Add part of Peninsular Malaysia to the small map with the “Brunei Darussalam districts” so it is clearer where is located. Add a peatland layer (if available)

Fig3. CO2 seems to exponentially increases with OM. I wonder if it could be possible to fit an exponential regression. Would this be useful? If so, discuss.

Presentation

Overall score 4.4 out of 5
Is the article written in clear and proper English? (30%)
5 out of 5
Is the data presented in the most useful manner? (40%)
5 out of 5
Does the paper cite relevant and related articles appropriately? (30%)
3 out of 5

Context

Overall score 4 out of 5
Does the title suitably represent the article? (25%)
4 out of 5
Does the abstract correctly embody the content of the article? (25%)
4 out of 5
Does the introduction give appropriate context? (25%)
5 out of 5
Is the objective of the experiment clearly defined? (25%)
3 out of 5

Analysis

Overall score 4 out of 5
Does the discussion adequately interpret the results presented? (40%)
4 out of 5
Is the conclusion consistent with the results and discussion? (40%)
4 out of 5
Are the limitations of the experiment as well as the contributions of the experiment clearly outlined? (20%)
4 out of 5

Review 2: Carbon dioxide flux from peat swamp soils in Brunei Darussalam, northern Borneo

Conflict of interest statement

Reviewer declares none

Comments

Comments to the Author: While the intention of the study is useful and may add to a growing literature, there is insufficient information in the methodology to judge the quality of the work. Specifically, there is no information on how the peat cores were handled, stored and prepared prior to flux measurements. No mention of the possible effects of different moisture conditions (which are highly correlated to fluxes). For example, were all samples controlled to the same moisture content to remove this effect in treatment comparisons or were interactions between sample moisture content and the other parameters (site, condition, organic content) considered? See http://doi.org/10.1016/j.geoderma.2018.02.029. If you do not accommodate moisture content in your testing, you cannot draw conclusions about site specific carbon (e.g. lability) on potential fluxes. The literature context provided is inadequate, for example, the newest reference in the introduction is around 10 years old. There have been many studies on tropical peat fluxes since 2012, see DOI: 10.1111/gcb.15147 (and supplementary dataset) for a literature range these results should be compared against. There is not enough information about the statistical testing, did results undergo any transformations prior to testing, were data normally distributed, etc. Only P values are given, F stats, df etc. are missing. Significance letters should be added to figures. Boxplots need detail about what they are showing, means/medians/definition of outliers? In general, this study may well be perfectly sound, but there is not enough information given to judge this so I can only recommend reject and re-submit with more detail.

Presentation

Overall score 3.1 out of 5
Is the article written in clear and proper English? (30%)
4 out of 5
Is the data presented in the most useful manner? (40%)
4 out of 5
Does the paper cite relevant and related articles appropriately? (30%)
1 out of 5

Context

Overall score 4.5 out of 5
Does the title suitably represent the article? (25%)
5 out of 5
Does the abstract correctly embody the content of the article? (25%)
5 out of 5
Does the introduction give appropriate context? (25%)
3 out of 5
Is the objective of the experiment clearly defined? (25%)
5 out of 5

Analysis

Overall score 2 out of 5
Does the discussion adequately interpret the results presented? (40%)
2 out of 5
Is the conclusion consistent with the results and discussion? (40%)
2 out of 5
Are the limitations of the experiment as well as the contributions of the experiment clearly outlined? (20%)
2 out of 5