A globally robust relationship between water table decline, subsidence rate, and carbon release from peatlands

Ma, Lei; Zhu, Gangbing; Chen, Bolong; Zhang, Kun; Niu, Shuli; Ciais, P.; Zuo, Hongchao

doi:10.1038/s43247-022-00590-8

Cited by 34 publications

(30 citation statements)

References 64 publications

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“…3 does suggest that, when the average annual GWL is known, the peatland CO 2 balance can be predicted with some degree of confidence. This is in line with work 45,47 on high-latitude peatlands suggesting that GWLs are more important than local climate or other management factors. Furthermore, although the relationship between CO 2 flux and GWL is steeper for tropical peatlands compared with the full set of high-latitude flux tower data collated in ref.…”

Section: Net Ghg Balance Of Acacia Plantationsupporting

confidence: 89%

Net greenhouse gas balance of fibre wood plantation on peat in Indonesia

Deshmukh¹,

Susanto²,

Nardi³

et al. 2023

Nature

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Tropical peatlands cycle and store large amounts of carbon in their soil and biomass1–5. Climate and land-use change alters greenhouse gas (GHG) fluxes of tropical peatlands, but the magnitude of these changes remains highly uncertain6–19. Here we measure net ecosystem exchanges of carbon dioxide, methane and soil nitrous oxide fluxes between October 2016 and May 2022 from Acacia crassicarpa plantation, degraded forest and intact forest within the same peat landscape, representing land-cover-change trajectories in Sumatra, Indonesia. This allows us to present a full plantation rotation GHG flux balance in a fibre wood plantation on peatland. We find that the Acacia plantation has lower GHG emissions than the degraded site with a similar average groundwater level (GWL), despite more intensive land use. The GHG emissions from the Acacia plantation over a full plantation rotation (35.2 ± 4.7 tCO2-eq ha−1 year−1, average ± standard deviation) were around two times higher than those from the intact forest (20.3 ± 3.7 tCO2-eq ha−1 year−1), but only half of the current Intergovernmental Panel on Climate Change (IPCC) Tier 1 emission factor (EF)20 for this land use. Our results can help to reduce the uncertainty in GHG emissions estimates, provide an estimate of the impact of land-use change on tropical peat and develop science-based peatland management practices as nature-based climate solutions.

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Section: Net Ghg Balance Of Acacia Plantationsupporting

confidence: 89%

Net greenhouse gas balance of fibre wood plantation on peat in Indonesia

Deshmukh¹,

Susanto²,

Nardi³

et al. 2023

Nature

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“…The weighted RR or d was calculated by individual RR or d with bias-corrected 95% CIs using the rma.mv function in the metafor package in R software (R core team, 2019) ( 38 ). This package allowed us to assign the variable “study” a random effect so that effects within the same study could be eliminated and the number of replicates could be considered as the weight ( 38 ). The impact of rodent bioturbation on a response variable was considered significant if the 95% CI did not overlap with 0 ( 38 ).…”

Section: Methodsmentioning

confidence: 99%

“…This package allowed us to assign the variable “study” a random effect so that effects within the same study could be eliminated and the number of replicates could be considered as the weight ( 38 ). The impact of rodent bioturbation on a response variable was considered significant if the 95% CI did not overlap with 0 ( 38 ). Differences between subgroups were considered significant if the 95% CIs did not overlap with each other ( 38 ).…”

Section: Methodsmentioning

confidence: 99%

“…The impact of rodent bioturbation on a response variable was considered significant if the 95% CI did not overlap with 0 ( 38 ). Differences between subgroups were considered significant if the 95% CIs did not overlap with each other ( 38 ). The frequency distribution of RR for SOC was calculated to test variability among individual studies using the Gaussian function (i.e., normal distribution) ( 39 ).…”

Section: Methodsmentioning

confidence: 99%

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Unexpected no significant soil carbon losses in the Tibetan grasslands due to rodent bioturbation

Miao

Gan

et al. 2022

PNAS Nexus

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The Tibetan grasslands store 2.5% of the Earth's soil organic carbon. Unsound management practices and climate change have resulted in widespread grassland degradation, providing open habitats for rodent activities. Rodent bioturbation loosens topsoil, reduces productivity, changes soil nutrient conditions, and consequently influences the soil organic carbon stocks of the Tibetan grasslands. However, these effects have not been quantified. Here, using meta-analysis and upscaling approaches, we found that rodent bioturbation impacts on the Tibetan grassland soil organic carbon contents were depth-dependent, with significant (p < 0.001) decreasing of 24.4% in the topsoil (0–10 cm) but significant (p < 0.05) increasing of 35.9% in the deeper soil layer (40–50 cm), and nonsignificant changes in other soil layers. The depth-dependent responses in soil organic carbon content were closely associated with rodent tunnel burrowing, foraging, excrement deposition, and mixing of the upper and deeper soil layers. Rodent bioturbation shown nonsignificant impacts on soil bulk density, independent of soil layer. Tibetan grasslands totally lose –35.2 Tg C yr–1 (95% CI: –48.5 to –21.1 Tg C yr–1) and –32.9 Tg C yr–1 (–54.2 to –8.6 Tg C yr–1) due to rodent bioturbation in the 0–10 cm or 0–30 cm soil layer while no significant net loss was found over the 0–90 cm layer. Our findings highlight the importance of considering depth-dependent factors to robustly quantify the net changes in the terrestrial soil organic carbon stocks resulting from disturbances such as rodent bioturbation.

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“…Such land cover changes and land transformation-induced water table level alternation, together with periodical water table cycle, have profound implications for wetland carbon balances (Hu et al, 2015;Johnson et al, 2022). In particular, ecosystem respiration, a key component of the carbon cycle, can change dramatically in response to changes in land cover and water table level (Zhou et al, 2014;Ma et al, 2022;Li et al, 2023a). Quantifying the ecosystem respiration responses to water table variations in lacustrine mudflats, therefore, is important for understanding and predicting subtropical wetland carbon cycles.…”

Section: Introductionmentioning

confidence: 99%

Drivers for ecosystem respiration during the drawdown period in Dongting Lake, China

Zhou

Lei

Wang

et al. 2023

Front. Environ. Sci.

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Global lakes play an active role in releasing carbon into the atmosphere. However, previous research was less focused on shallow tropical and sub-tropical lakes, especially ecosystem respiration during the drawdown period. This study was designed to determine the environmental factors that determine ecosystem respiration during the drawdown period in a typical shallow sub-tropical lake, Dongting Lake in China. Ecosystem respiration from the exposed mudflat and a newly colonized meadow were investigated using a Li-8100 soil CO2 flux system in situ. The soil water content soil organic carbon (SOC), dissolved organic carbon (DOC), total nitrogen and soil C/N ratio were measured at 0–30 cm soil depth layers. No difference was found among different soil depth layers for soil properties, while the dissolved organic carbon value varied significantly among different levels of the cumulative days of the mudflat exposed to the air (CDE). Carex colonizing significantly increased soil organic carbon and DOC at the surface soil layer. Exposure to the air and Carex colonizing together strengthened the intensity of carbon dioxide (CO2) emission in the mudflat, achieving 0.716 ± 0.114 μmol m-2s-1 and 2.240 ± 0.375 μmol m-2s-1, respectively. Exposure to the air led mudflat to exceed other landscapes or different vegetation types in Dongting Lake, becoming the most active area releasing CO2 into the atmosphere, with the respiration flux reaching a peak period at around 60 days after exposure, which was enormously reinforced by Carex colonizing. Reducing the area and duration of mudflat exposure to the air during the drawdown period might be useful in reducing CO2 emissions to the atmosphere in shallow sub-tropical lakes.

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A globally robust relationship between water table decline, subsidence rate, and carbon release from peatlands

Cited by 34 publications

References 64 publications

Net greenhouse gas balance of fibre wood plantation on peat in Indonesia

Net greenhouse gas balance of fibre wood plantation on peat in Indonesia

Unexpected no significant soil carbon losses in the Tibetan grasslands due to rodent bioturbation

Drivers for ecosystem respiration during the drawdown period in Dongting Lake, China

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