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Kalimantan, the Indonesian portion of the Island of Borneo, has an estimated 45,000 km 2 of tropical peatland and represents one of the largest stocks of tropical peat carbon. However, over the last three decades, the peatlands of Indonesia, and Kalimantan in particular, have been heavily degraded or destroyed by drainage of peatland swamps, deforestation, land cover change for agriculture, and intentional burning. Many studies have examined degradation of peat forests and the associated frequency of fires, often focusing on specific regions of Kalimantan over limited periods. Here, we present our results of a spatially comprehensive, long-term analysis of peatland fires in Kalimantan over more than two decades from early 2001 to the end of 2021. We examined the effects of changing climate conditions, land cover change, and the regulatory framework on the total burned area and frequency and severity of peatland fires over a 21-year period by combining extensive datasets of medium-resolution and high-resolution satellite imagery. Moreover, surface fire intensity was modeled for four dominant land use/land cover types to determine how land use change alters fire behavior. Our results confirm a consistent and strong spatiotemporal correlation between hydro-climatological drivers associated with El Niño conditions on peatland fire frequencies and burned peatland area. Changes in the number of fires and burn severity are visible over time and are caused by a combination of large-scale meteorological patterns and changing regulations. A significant relative increase of the “high” and “very high” severity across all peatland fires in Kalimantan was found for the latest period from 2015 through 2021 by 12.1 and 13.4%, compared to the two previous 7-year periods from 2001 to 2007 period and from 2008 to 2014, respectively, whereas the total peatland area burned decreased in 2015 to 2021 by 28.7% on average compared to the previous periods. The results underline the importance of a comprehensive approach considering physical aspects of overarching climate conditions while improving political and regulatory frameworks to mitigate the negative effects of burning tropical peatlands.

This study was conducted to identify the fire weather conditions needed to assess future peatland fires under climate change. Recent peatland fires in Indonesia have resulted in globally significant environmental impacts. Nevertheless, fire weather in the peatlands has not been clarified. The objective of this study is to determine the fire weather needed to assess future peatland fires under climate change. We analyzed fire, rainfall, temperature, humidity, and wind in the fire-prone areas in Sumatra. Analysis results using 20 years of satellite hotspot data from 2003 showed that fires in Sumatra occur every other month except December and April when rainfall intensifies. Due to relatively low rainfall, peatland fires in North Sumatra occur not only from January to March (the main dry season), but also around June and August if short-term drought happens. These fire trends may suggest that the peatlands of Sumatra are mostly in a combustible state. Analysis results using diurnal weather data showed that active peatland fires tend to occur under high air temperatures (around above 34 °C), low relative humidity (lower than 50%), and high wind speeds (higher than 18 km h−1). We hope that this report will help improve future peat fire assessments and fire forecasting under rapid climate change.

Peatland fires in Central Kalimantan emit thick smoke and large amounts of greenhouse gases and have an impact on the environment globally, but studies on fire weather have not been carried out due to lack of diurnal weather data. The aim of this study is to identify the fire weather conditions during active fires that is needed to mitigate future occurrences of peat fires in Indonesia. The available diurnal weather data was used to analyze the fire weather conditions. Based on meteorological data on active fires (11 days), there was a significant increase in air temperature due to the sea breeze that started blowing in the morning. The average values for the 11-day period around 15:00 are a maximum air temperature of 36 °C, minimum humidity of 37%, wind speed of 21 km h−1, and a rate of increase of 2.7 °C h−1 from 8:00. The difference in sea and land temperatures causes strong winds to blow and triggers an increase in land temperatures. The results of this report can help predict fire activity at high temperatures in the future based on global warming predictions made by other researchers. The rapid rate of increase in air temperature from the morning will be useful in anticipating fires in Central Indonesia.

Background Indonesian peatlands have been drained for agricultural development for several decades. This development has made a major contribution to economic development. At the same time, peatland drainage is causing significant air pollution resulting from peatland fires. Peatland fires occur every year, even though their extent is much larger in dry (El Niño) years. We examine the health effects of long-term exposure to fine particles (PM 2.5 ) from all types of peatland fires (including the burning of above and below ground biomass) in Sumatra and Kalimantan, where most peatland fires in Indonesia take place. Methods We derive PM 2.5 concentrations from satellite imagery calibrated and validated with Indonesian Government data on air pollution, and link increases in these concentrations to peatland fires, as observed in satellite imagery. Subsequently, we apply available epidemiological studies to relate PM 2.5 exposure to a range of health outcomes. The model utilizes the age distribution and disease prevalence of the impacted population. Results We find that PM 2.5 air pollution from peatland fires, causes, on average, around 33,100 adults and 2900 infants to die prematurely each year from air pollution. In addition, peatland fires cause on average around 4390 additional hospitalizations related to respiratory diseases, 635,000 severe cases of asthma in children, and 8.9 million lost workdays. The majority of these impacts occur in Sumatra because of its much higher population density compared to Kalimantan. A main source of uncertainty is in the Concentration Response Functions (CRFs) that we use, with different CRFs leading to annual premature adult mortality ranging from 19,900 to 64,800 deaths. Currently, the population of both regions is relatively young. With aging of the population over time, vulnerabilities to air pollution and health effects from peatland fires will increase. Conclusions Peatland fire health impacts provide a further argument to combat fires in peatlands, and gradually transition to peatland management models that do not require drainage and are therefore not prone to fire risks.

The conversion of Indonesian tropical peatlands has been associated with the recurring problems of peatland fires and smoke affecting humans and the environment. Yet, the local government and public in the affected areas have paid little attention to the impacts and costs of the poor air quality on human health. This study aims to analyse the long-term health impacts of the peat smoke exposure to the local populations. We applied the Hybrid Single-Particle Lagrangian Integrated Trajectory (HYSPLIT) model to determine the smoke dispersion and the associated PM 2.5 concentrations of the resulted plumes from the fire hotspots in the deep and shallow peatlands in Central Kalimantan, Indonesia, that occurred during a 5-year period (2011–2015). We subsequently quantified the long-term health impacts of PM 2.5 on the local people down to the village level based on the human health risk assessment approach. Our study shows that the average increase in the annual mean PM 2.5 concentration due to peatland fires in Central Kalimantan was 26 μg/m 3 which is more than twice the recommended value of the World Health Organisation Air Quality Guidelines. This increase in PM 2.5 leads to increased occurrence of a range of air pollution–related diseases and premature mortality. The number of premature mortality cases can be estimated at 648 cases per year (26 mortality cases per 100,000 population) among others due to chronic respiratory, cardiovascular and lung cancer. Our results shed further light on the long-term health impacts of peatland fires in Indonesia and the importance of sustainable peatland management.

BackgroundTropical peatland fires contribute to global carbon emissions and air pollution.AimsEnhance the globally used Canadian Fire Weather Index (FWI) system specifically over drained and undrained tropical peatlands in southeast Asia.MethodologyWe included simulated tropical peatland hydrology in the FWI, creating a new peatland-specific version of the FWI (FWIpeat). FWIpeat, the original FWI (FWIref) and the drought code (DC) were evaluated against satellite-based active fire occurrence from 2002 to 2018.Key resultsThe DC shows superior performance in explaining fire occurrence over undrained tropical peatlands. Over drained peatlands, DC and FWIpeat show similar results, both outperforming FWIref. A comparison with an earlier study over boreal peatlands indicates much smaller improvements from FWIpeat for tropical peatlands, possibly due to a lower accuracy of the hydrological input data.ConclusionsOur results highlight the importance of including information on deeper soil layers, i.e. the DC or groundwater table, when assessing fire danger.ImplicationsAlthough this study offers a promising approach for operational fire management over tropical peatlands, we emphasise the need for further research to refine the hydrological input data and explore additional constraints from Earth observation data.

Actors across multiple levels, such as the private sector, national and subnational government institutions, and local communities, are expected to have the capacity to adapt to climate impacts and risks. This study analyzes how collaborative governance has been developed and carried out by multiple actors in everyday life to adapt to peatland fires in a situation where climate change variability drives fire occurrences. The case study research was undertaken on the east coast of Sumatra, Indonesia, where the challenge of annual peatland fires has increased in the last 15 years. The qualitative data were collected through participatory observations, face-to-face interviews with 35 key informants, and document analysis conducted in 2020. The research finding shows that structural arrangements, knowledge and learning, and resource sharing are essential dimensions in generating collaborative governance to adapt to peatland fires. Multiple actors in the community case study applied collaborative activities during the three adaptation stages: (1) anticipatory measures, (2) preparedness, and (3) responses through constructing canal blocks, conducting fire patrols, and fighting fires. Those collaborative activities are performed in everyday life and have reduced the potential occurrence of fires and the vulnerability of villagers to peatland fires. The study also highlights the effects of domination when powerful actors are unwilling to collaborate meaningfully with local actors, who sometimes share different interests and hierarchical positions.

This study was conducted to identify the fire weather conditions needed to assess future peatland fires under climate change. Recent peatland fires in Indonesia have resulted in globally significant environmental impacts. Nevertheless, diurnal fire weather in the peatlands has not been clarified. The objective of this study was to determine the fire weather conditions needed to assess future peatland fires under climate change. An analysis of fire weather using diurnal weather data during the most active fire period in 2015 showed a strong wind speed of 35.7 km h−1 at 3 p.m. that continued to blow for about two weeks, suggesting that peatland fires in 2015 became very active under these very strong wind conditions. The temperature increase rate (ΔT), the RH decrease rate (ΔRH), and the wind speed increase rate (ΔWS) during morning hours from 6:00 a.m. to 9:00 a.m. were 2.3 °C h−1, −10.3% h−1, and 5.2 (km h−1) h−1 respectively. These weather parameters will be used to predict occurrences of active fires. The results of this report may help to predict fire activity under high temperatures in the future based on predictions of global warming made by other researchers. The rapid air temperature increase rate from morning will be useful for fire forecast in Papua.

This study investigated the anomalous seasonal variations in particulate matter (PM) concentrations—specifically PM 2.5 and PM 10 —in Padang City, Indonesia, situated within the Equatorial climate zone. A one-year dataset of half-hourly PM measurements from January to December 2023, collected by the Air Quality Monitoring System (AQMS) managed by the Environmental Agency of West Sumatra (DLH), was utilized. Maps of hotspots and air mass backward trajectories were used to identify possible transboundary emissions affecting Padang City. Despite the region experiencing nearly continuous rainfall, significant elevations in PM levels were observed during the typically drier months of August to October. Specifically, PM 2.5 levels peaked at 36.57 µg/m 3 and PM 10 at 39.58 µg/m 3 in October, significantly higher than in other months and indicating a substantial deviation from the typical expectations for equatorial climates. These results suggest that the high PM concentrations are not solely due to local urban emissions or normal seasonal variations but are also significantly influenced by transboundary smoke from peatland fires and agricultural burning in neighboring provinces such as Bengkulu, Riau, Jambi, and South Sumatra. Backward trajectory analysis further confirmed the substantial impact of regional activities on degradation of air quality in Padang City. The study underscores the need for integrated air quality management that includes both local and transboundary pollution sources. Enhanced monitoring, public engagement, and inter-regional collaboration are emphasized as crucial strategies for mitigating the adverse effects of PM pollution in equatorial regions like Padang City.

This study establishes a new technique for peatland fire detection in tropical environments using Landsat-8 and Sentinel-2. The Tropical Peatland Combustion Algorithm (ToPeCAl) without longwave thermal infrared (TIR) (henceforth known as ToPeCAl-2) was tested on Landsat-8 Operational Land Imager (OLI) data and then applied to Sentinel-2 Multi Spectral Instrument (MSI) data. The research is aimed at establishing peatland fire information at higher spatial resolution and more frequent observation than from Landsat-8 data over Indonesia’s peatlands. ToPeCAl-2 applied to Sentinel-2 was assessed by comparing fires detected from the original ToPeCAl applied to Landsat-8 OLI/Thermal Infrared Sensor (TIRS) verified through comparison with ground truth data. An adjustment of ToPeCAl-2 was applied to minimise false positive errors by implementing pre-process masking for water and permanent bright objects and filtering ToPeCAl-2’s resultant detected fires by implementing contextual testing and cloud masking. Both ToPeCAl-2 with contextual test and ToPeCAl with cloud mask applied to Sentinel-2 provided high detection of unambiguous fire pixels (>95%) at 20 m spatial resolution. Smouldering pixels were less likely to be detected by ToPeCAl-2. The detected smouldering pixels from ToPeCAl-2 applied to Sentinel-2 with contextual testing and with cloud masking were only 35% and 56% correct, respectively; this needs further investigation and validation. These results demonstrate that even in the absence of TIR data, an adjusted ToPeCAl algorithm (ToPeCAl-2) can be applied to detect peatland fires at 20 m resolution with high accuracy especially for flaming. Overall, the implementation of ToPeCAl applied to cost-free and available Landsat-8 and Sentinel-2 data enables regular peatland fire monitoring in tropical environments at higher spatial resolution than other satellite-derived fire products.