Carbon loss from a deforested and drained tropical peatland over four years as assessed from peat stratigraphy

Anshari, Gusti Z.; Gusmayanti, Evi; Afifudin, M.; Ruwaimana, Monika; Hendricks, Lauren; Gavin, Daniel G.

doi:10.1016/j.catena.2021.105719

Cited by 8 publications

(3 citation statements)

References 65 publications

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“…In all ecotypes of LSBP, more than 99% of the carbon storage is contributed by peat soil. As per a review of other literature, as seen in Table 1, most peat depths are 300 to 500 cm (Sjögersten et al, 2021;Novita et al, 2021;Anshari et al, 2022;Tonks et al, 2017;Orella et al, 2022). In this study, peat depth reached up to 900 cm, as all peat samples from the surface until the peat auger could not penetrate anymore were sampled and analyzed to get the overall C-stock estimation of the LSBP ecosystem.…”

Section: Total C-stocks and Co2 Sequestered Of Lsbpmentioning

confidence: 94%

Carbon Storage of Leyte Sab-A Basin Peatland, Philippines

Bobon-Carnice,

Chanton,

Migo

et al. 2023

Environ. Nat. Resour. J.

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Leyte Sab-A Basin peatland (LSBP) is the second largest peatland in the Philippines and comprises 3,088 ha (31 km2). The study estimated the C storage and carbon sequestration capacity of the peatland’s four (4) ecotypes, namely, swamp forest (SF), marshland (ML), agroforestry (AF), and agricultural land (AL) using allometric equations. SF rendered the highest downed wood C-stocks followed by AL and AF. For the litter C-stocks, AF rendered the highest, followed by SF, ML, and AL. SF rendered the highest root C-stocks and CO2 sequestered, followed by AL and AF. C% is highest in ML with values ranging from 32-43 C% across the soil peat depth, while SF ranges from 29-34 C%, and AL and AF both with 19-37 C%. The LSBP stores 36.6 Tg of C and 134.5 Tg of CO2 sequestered. This C storage amount can represent 0.04% of tropical peat carbon.

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Section: Total C-stocks and Co2 Sequestered Of Lsbpmentioning

confidence: 94%

Carbon Storage of Leyte Sab-A Basin Peatland, Philippines

Bobon-Carnice,

Chanton,

Migo

et al. 2023

Environ. Nat. Resour. J.

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“…For soil physical analysis, we determined bulk density and porosity using a gravimetry approach following methodology described in Ref. 13 . The peat was later classified into fibric, humic, or sapric according to von Post humification scale.…”

Section: Methodsmentioning

confidence: 99%

Quantifying the fluxes of carbon loss from an undrained tropical peatland ecosystem in Indonesia

Asyhari,

Gangga,

Putra

et al. 2024

Sci Rep

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Conservation of undrained tropical peatland ecosystems is critical for climate change mitigation as they store a tremendous amount of soil carbon that is preserved under anoxic water-logged conditions. Unfortunately, there are too few measurements of carbon fluxes from these ecosystems to estimate the climate change mitigation potential from such conservation efforts. Here, we measured carbon dioxide (CO2) and methane (CH4) fluxes as well as fluvial organic carbon export over the peat swamp forest within an undrained tropical peatland landscape in East Kalimantan, Indonesia. Our measurements throughout one year (Oct 2022–Sep 2023) showed that despite its water-logged condition, peat and water overlying the swamp forest on average emits 11.02 ± 0.49 MgCO2 ha−1 yr−1 of CO2 and 0.58 ± 0.04 MgCO2e ha−1 yr−1 of CH4. Further, the fluvial organic carbon export contributes to additional carbon loss of 1.68 ± 0.06 MgCO2e ha−1 yr−1. Our results help improve the accuracy of carbon accounting from undrained tropical peatlands, where we estimated a total carbon loss of 13.28 ± 0.50 MgCO2e ha−1 yr−1. Nevertheless, the total carbon loss reported from our sites is about half than what is reported from the drained peatland landscapes in the region and resulted in a larger onsite carbon sink potential estimate compared to other undrained peat swamp forests. Together, these findings indicate that conserving the remaining undrained peatland ecosystems in Indonesia from drainage and degradation is a promising natural climate solution strategy that avoids significant carbon emissions.

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“…Adverse impacts of peatland degradation include: greenhouse gas emissions, pollution of surface and ground waters, loss of biodiversity, land subsidence and catastrophic peat fires (Ziegler et al, 2021). The main environmental threat related to oxidization of peat following peatland drainage involves land subsidence (Silins and Rothwell, 1998;Camporese et al, 2004;Camporese et al, 2006;Gebhardt et al, 2010;Leifeld et al, 2011;Zanello et al, 2011;Nagano et al, 2013;Pronger et al, 2014;Fell et al, 2016;Grzywna, 2017;Lipka et al, 2017;van Hardeveld et al, 2017;Nusantara et al, 2018;Evans et al, 2019;Karlson et al, 2019;Khasanah and van Noordwijk, 2019;Ahmad et al, 2020;Khakim et al, 2020;Oleszczuk et al, 2020;Rodriguez et al, 2020, Rodriguez et al, 2021Anshari et al, 2021;Basuki et al, 2021;Ikkala et al, 2021;Ziegler et al, 2021;Anshari et al, 2022). Water stored in an undisturbed peatland constitutes 300% of its volume (Grzywna, 2017).…”

Section: Introductionmentioning

confidence: 99%

Assessment of the Applicability of UAV for the Creation of Digital Surface Model of a Small Peatland

Czapiewski

2022

Front. Earth Sci.

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Rapid development and growing availability of Unmanned Aerial Vehicles (UAV) translates into their more wide-spread application in monitoring of the natural environment. Moreover, advances in computer analysis techniques allow the imaging performed with UAVs to be used in creating Digital Elevation Models (DEM) and Digital Surface Models (DSM). DEMs are often employed in studies on geology, environment, engineering, and architecture. The presented paper discusses the procedures enabling the making of a precise DEM, discusses the aerial imaging data processing technique as well as determines the accuracy of obtained products in comparison with an existing Digital Elevation Model. Based on available literature the author indicates four sets of input parameters applicable in UAV imaging. Data collection missions were performed on two separate days in the area of a small peatland located in the Tuchola Pinewood, Poland. The study aims to address two research issues. Firstly, the author investigates the possibility of creating a DSM based on UAV imaging performed under unfavorable conditions and indicates whether results obtained via this method display sufficient quality to be seen as an alternative to the traditional surveying techniques (LiDAR). Secondly, the article determines the input parameters for a photogrammetric flight that ensure the highest accuracy of a resulting DSM. The analyses show a strong positive correlation between the DSMs prepared based on UAV imaging with data obtained by means of traditional methods (LiDAR). Mean correlation coefficient ranged from 0.45 to 0.75 depending on the type of land use and input parameters selected for a given flight. Furthermore, the analysis revealed that DSMs prepared based on UAV imaging—provided the most suitable input parameters are selected—can be a viable alternative to standard measurements, with the added benefit of low cost and the capacity for repeatable data collection in time. Admittedly, the method in question cannot be utilized in relation to peatlands overgrown with high vegetation (trees, shrubs) as it effectively diminishes the accuracy of obtained DSMs.

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Carbon loss from a deforested and drained tropical peatland over four years as assessed from peat stratigraphy

Cited by 8 publications

References 65 publications

Carbon Storage of Leyte Sab-A Basin Peatland, Philippines

Carbon Storage of Leyte Sab-A Basin Peatland, Philippines

Quantifying the fluxes of carbon loss from an undrained tropical peatland ecosystem in Indonesia

Assessment of the Applicability of UAV for the Creation of Digital Surface Model of a Small Peatland

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