Loss and Recovery of Carbon in Repeatedly Burned Degraded Peatlands of Kalimantan, Indonesia

Volkova, Liubov; Adinugroho, Wahyu Catur; Krisnawati, Haruni; Imanuddin, Rinaldi; Weston, Christopher J.

doi:10.3390/fire4040064

Cited by 12 publications

(9 citation statements)

References 15 publications

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“…NDVI is one of the vegetation indices that combines the two opposite properties of canopy, NIR which covers the spectral wavelength reflected the most by the canopy and R which covers the spectral wavelength reflected the least by the canopy [81]. As a result of this property, NDVI is considered an appropriate vegetation index to study vegetation patterns across temporal or spatial scales and it has been extensively used to study post-fire landscape patterns and vegetation dynamics [79,[81][82][83][84]. Although other indices are also reported in the literature as suitable to monitor post-fire vegetation recovery, such us the Normalised Burn Ration (NBR) [77,78,85], NDVI was the first one tried in this study and gave excellent results.…”

Section: Remote Sensing Methodsmentioning

confidence: 99%

Long Term Post-Fire Vegetation Dynamics in North-East Mediterranean Ecosystems. The Case of Mount Athos Greece

Xofis

Buckley²,

Takos

et al. 2021

Fire

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Fire is an ecological and disturbance factor with a significant historical role in shaping the landscape of fire-prone environments. Despite the large amount of literature regarding post-fire vegetation dynamics, the north-east Mediterranean region is rather underrepresented in the literature. Studies that refer to the early post fire years and long term research are rather scarce. The current study is conducted in the socially and geographically isolated peninsula of Mount Athos (Holly Mountain) in northern Greece, and it studies vegetation dynamics over a period of 30 years since the last fire. Field data were collected 11 years since the event and were used to identify the present plant communities in the area, using TWINSPAN, and the factors affecting their distribution using CART. Four Landsat (TM, ETM, OLI) images are employed for the calculation of NDVI, which was found effective in detecting the intercommunity variation in the study area, and it is used for long term monitoring. The study includes four communities, from maquis to forest which are common in the Mediterranean region covering a wide altitudinal range. The results suggest that fire affects the various communities in a different way and their recovery differs significantly. While forest communities recover quickly after fire, maintaining their composition and structure, the maquis communities may need several years before reaching the pre-fire characteristics. The dry climatic conditions of the study area are probably the reason for the slow recovery of the most fire prone communities. Given that climate change is expected to make the conditions even drier in the region, studies like this emphasize the need to adopt measures for controlling wildfires and preventing ecosystem degradation.

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Section: Remote Sensing Methodsmentioning

confidence: 99%

Long Term Post-Fire Vegetation Dynamics in North-East Mediterranean Ecosystems. The Case of Mount Athos Greece

Xofis

Buckley²,

Takos

et al. 2021

Fire

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“…Gas speci c emission factors (G i ): CO 2 = 1620 g kg − 1 ; CO = 104 g kg − 1 ; N 2 O = 0.2 g kg − 1 ; CH 4 = 6.5 g kg − 1 23 GWP: CO 2 = 1; CO = 1.9; CH 4 = 25; N 2 O = 298 *emission factor is estimated from the peat mass loss as per 22 not AGB x Cf Emissions from peat are comprised of 80 or more GHGs so that CO 2 is only a part of the peat emission pro le 19,23 .…”

Section: Resultsmentioning

confidence: 99%

“…The depth of burnt peat was derived from the published literature. For the rst re, the depth of peat burnt was 33 cm 16 ; for second re we used 20 cm (average of relative depth burnt of rst and second res 21 ; for frequent res ( re frequency < 10 year) we used 10 cm 21 and for fourth and more res we used 2 cm 21 and data from our eld study in degraded peatlands of Central Kalimantan 22 .…”

Section: Datasetmentioning

confidence: 99%

“…second and more res in secondary forests with re frequency < 10 year was 46.6 (29.3; 63.9) tonnes ha − 1 . For degraded peatlands we used a mass loss between pre-and post-res derived from our eld study in frequently burnt degraded peatlands of Central Kalimantan 22 . Emission factor and emissions were estimated in the similar manner as for the peat layer.…”

Section: Datasetmentioning

confidence: 99%

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Building capacity for estimating fire emissions from tropical peatlands; a worked example from Indonesia

Krisnawati¹,

Budiharto²,

Zamzani³

et al. 2023

Preprint

Self Cite

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Tropical peatlands are globally significant in the terrestrial carbon cycle as they are comprised of a large forest carbon sink and a large peat carbon store – both of which can potentially be exchanged with the atmosphere on decadal timeframes. Greenhouse gas emissions from fire-disturbance and development of tropical peatlands over the last few decades, and the potential for ongoing emissions, highlights the need for policy to slow or halt emissions and to activate mechanisms to sequester carbon through restoration of degraded peatlands. The UN REDD + scheme provides a means for developing economies to receive payments for avoided deforestation and forest degradation, but the steps to achieve REDD + compliance are rigorous and the details required can be a barrier to activating benefits – especially for peatlands where repeated cycles of fire truncate forest recovery and create a range of recovery classes. Therefore, the knowledge of the parameters required for estimating peat fire emissions needs to be improved to better understand the carbon balance of tropical peatlands at different fire regime. In this study we use published activity data from the extensive 1997 fires in the peatlands of Indonesian Borneo to detail a transparent and accountable way to estimate and report emissions from tropical peatland fires. This example for estimating and reporting emissions is provided to assist REDD + economies to efficiently develop their capacity for improving emissions estimates from fire-impacted tropical peatlands.

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“…Many research and reviews put pressure on tropical peat fire monitoring or susceptibility assessments (Vetrita et al, 2021;Prasetyo et al, 2022;Taufik et al, 2022), peat consumption during fire occurrence (Che Azmi et al, 2021;Volkova et al, 2021), gas and particulate emissions from burned peat (Hirano et al, 2013;Crippa et al, 2016) and rehabilitation or restoration of burned peat (Scheper et al, 2021;Yuwati et al, 2021). However, little attention has been paid to the bio-physicochemical changes of peat after being burned.…”

Section: Introductionmentioning

confidence: 99%

Evaluating the Effect of Fire on Cultivated Tropical Peat Properties: Lessons Learned from Observation in East Kutai Peatlands

Pulunggono¹,

Zulfajrin

Hanifah

et al. 2022

CELEBES Agricultural

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Fire and its associated impact highly affect peatland, particularly the peat properties, the plant cultivated above it, and its surrounding environment. Despite much research focused on fire monitoring or susceptibility assessments, peat consumption during fire occurrence, emissions from burned peat, and rehabilitation or restoration of burned peat, little attention is given to studying the changes of peat bio-physicochemical after burning. This small-scale study aims to examine the fire’ effect on the upper 30 cm of peat’s bio-physicochemical properties two months after being burned, using unburned peat as a reference. The result of this study indicated that fire-affected peat at all of our sampling depths. The impacted changes on peat chemical variables were varied. This study also found that sampling methods, fire magnitude and severity, peat physicochemical properties, laboratory determination, and statistical analyses were paramount in examining the fire effect on peat properties. This study also promotes the combination approach that represents both local and global phenomena to analyze and interpret the change of burned peat properties from its initial unburned state. More efforts are required to verify the initial results reported in this study and to gain in-depth information concerning the intricate relationships of organic materials, climate, hydrology, and vegetation across spatial and temporal scales in cultivated tropical peat as affected by fire events.

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Loss and Recovery of Carbon in Repeatedly Burned Degraded Peatlands of Kalimantan, Indonesia

Cited by 12 publications

References 15 publications

Long Term Post-Fire Vegetation Dynamics in North-East Mediterranean Ecosystems. The Case of Mount Athos Greece

Long Term Post-Fire Vegetation Dynamics in North-East Mediterranean Ecosystems. The Case of Mount Athos Greece

Building capacity for estimating fire emissions from tropical peatlands; a worked example from Indonesia

Evaluating the Effect of Fire on Cultivated Tropical Peat Properties: Lessons Learned from Observation in East Kutai Peatlands

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