An improved drought-fire assessment for managing fire risks in tropical peatlands

Taufik, Muh; Widyastuti, Marliana Tri; Sulaiman, Albertus; Murdiyarso, Daniel; Santikayasa, I Putu; Minasny, Budiman

doi:10.1016/j.agrformet.2021.108738

Cited by 22 publications

(21 citation statements)

References 53 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…In this research, PFVI index ranges from 0 to 300 followed the research finding by Taufik et al (2022). Zero means moisture at saturated level, while 300 represents the driest moisture at wilting point.…”

Section: Drought-fire Model For Peatlandmentioning

confidence: 77%

“…Yet, in this research, we employed the spatial soil moisture data from WRF to calculate the WTF parameter (Equation 9). Soil moisture data were then rescaled to represent the state of wetness condition based on fitting process done by Taufik et al (2022).…”

Section: Drought-fire Model For Peatlandmentioning

confidence: 99%

“…There are some models which can be used to monitor drought related to forest fire danger, including Peat Fire Vulnerability Index (PFVI). PFVI is the advanced model of drought-fire index which was specifically designed for tropical peatland (Taufik et al, 2022). It was based on Keetch Byram Drought Index.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Fire Danger on Jambi Peatland Indonesia based on Weather Research and Forecasting Model

et al. 2022

Self Cite

View full text Add to dashboard Cite

Monitoring drought related to peat fire danger is becoming essentials due to the adverse impacts of peat fires. However, the current monitoring is mostly based on station data and has not yet covered all parts of peatlands. This research was carried out to initiate a spatial monitoring for peat fire, particularly in Jambi province. Our approach was simple by integrating Weather Research Forecasting (WRF) output with a drought-fire model. This research aims to: (i) calibrate rainfall, air temperature and soil moisture data from WRF output; and (ii) analyze temporal drought related to fire danger. A drought-fire model known as Peat Fire Vulnerability Index was applied with daily inputs of WRF output at 5km resolution, which were comprised of rainfall, air temperature, and soil moisture. The results showed that calibration reduced rainfall magnitude, and slightly increased the maximum air temperature and soil moisture. The calibration performance was good as shown by a very low percent bias (less than ±5%), and lower error (RMSE=16.5; MAE=9.5). Our analysis showed that drought triggered by El Niño in 2015 had escalated extreme fire danger class by 38% compared to normal year (2018). This has been confirmed by a low variation of proportion of extreme class during July-August 2015. The results suggested that integrating spatial global climate data will benefit to the improved drought-fire model by providing spatial data. The results are expected to be a reference on drought and peat fires mitigation action.

show abstract

Section: Drought-fire Model For Peatlandmentioning

confidence: 77%

Section: Drought-fire Model For Peatlandmentioning

confidence: 99%

See 1 more Smart Citation

Fire Danger on Jambi Peatland Indonesia based on Weather Research and Forecasting Model

et al. 2022

Self Cite

View full text Add to dashboard Cite

show abstract

“… The knowledge generated from this dataset can help to improve restoration project activities in tropical peatlands. The dataset could also be used for drought-fire modeling in tropical peatland [1] , and for supporting the development of database on Indonesian's peat physical properties, especially water retention [3] , and validating global wetland models. …”

Section: Value Of the Datamentioning

confidence: 99%

“…Taufik et al. developed the Peat Fire Vulnerability Index (PFVI) to assess drought-fire hazards in tropical peatland Indonesia [1] . Fig.…”

Section: Data Descriptionmentioning

confidence: 99%

Groundwater table and soil-hydrological properties datasets of Indonesian peatlands

Taufik

Awaluddin³

et al. 2022

Data in Brief

Self Cite

View full text Add to dashboard Cite

Understanding Farmers’ Livelihoods in Managing Swamp Buffalo in Adapting to Climate Change in South Sumatra

Azwar,

Premono,

Tata

2024

Springer Proceedings in Physics

View full text Add to dashboard Cite

An improved drought-fire assessment for managing fire risks in tropical peatlands

Cited by 22 publications

References 53 publications

Fire Danger on Jambi Peatland Indonesia based on Weather Research and Forecasting Model

Fire Danger on Jambi Peatland Indonesia based on Weather Research and Forecasting Model

Groundwater table and soil-hydrological properties datasets of Indonesian peatlands

Understanding Farmers’ Livelihoods in Managing Swamp Buffalo in Adapting to Climate Change in South Sumatra

Contact Info

Product

Resources

About