The Role of El Nino Variability and Peatland in Burnt Area and Emitted Carbon in Forest Fire Modeling

Authors

DOI:

https://doi.org/10.24259/fs.v6i1.10671

Keywords:

carbon combustion, peat soil, drainage, climate change, tropical forest

Abstract

This study was conducted to model fire occurrence within El Nino variability and peatland distribution. These climate and geographical factors have a significant impact on forest fires in tropical areas such as Indonesia. The re-analysis dataset from ECMWF was observed with respect to climate characteristics in Indonesian El Nino events. The INFERNO (INteractive Fire and Emission algoRithm for Natural envirOnments) was utilized to simulate fires over Borneo Island due to its capability to simulate large-scale fires with simplified parameters. There were some adjustments in this INFERNO model, especially for peat fire as peatland has a significant impact on fires. The first was the contribution of climate to the peat fire which is represented by long-term precipitation. The second was the combustion completeness of peat fire occurrence that is mainly affected by human-induced peat drainage. The result of the model shows that El Nino variability mainly affected peat fires but was unable to well simulate the above-ground fire. It increased the burnt area during strong El Nino but overestimated the fires during low/no El Nino season due to lack of peat fire ignition in the calculation. Moreover, as the model did not provide peat drainage simulation, it underestimated the carbon emission. This model has shown promising results by addressing key features in limited input data, but improving some simulations is necessary for regulating weak/no El Nino conditions and carbon combustion of peat fire.

References

Achard, F., Eva, H. D., Stibig, H. J., Mayaux, P., Gallego, J., Richards, T., & Malingreau, J. P. (2002). Determination of deforestation rates of the world's humid tropical forests. Science, 297(5583), 999-1002. https://doi.org/10.1126/science.1070656

Barnston, A. (2014). How ENSO leads to a cascade of global impacts. Retrieved from https://www.climate.gov/news-features/blogs/enso/how-enso-leads-cascade-global-impacts

Best, M. J., Pryor, M., Clark, D. B., Rooney, G. G., Essery, R. L., Ménard, C. B., . . . Harding, R. J. (2011). The Joint UK Land Environment Simulator (JULES), model description - Part 1: Energy and water fluxes, Geoscience Model Development, 4, 677-699. https://doi.org/10.5194/gmd-4-677-2011

Christian, H. J., Blakeslee, R. J., Boccippio, D. J., Boeck, W. L., Buechler, D. E., Driscoll, K. T., ... & Stewart, M. F. (2003). Global frequency and distribution of lightning as observed from space by the Optical Transient Detector. Journal of Geophysical Research: Atmospheres, 108(D1), ACL-4. https://doi.org/10.1029/2002JD002347

Clark, D. B., Mercado, L. M., Sitch, S., Jones, C. D., Gedney, N., Best, M. J., . . . Cox, P. M. (2011). The Joint UK Land Environment Simulator (JULES), model description- Part 2: Carbon fluxes and vegetation dynamics. Geoscience Model Development, 4, 701-722. https://doi.org/10.5194/gmd-4-701-2011

Cochrane, M. A. (2003). Fire science for rainforests. Nature, 421(6926), 913-919. https://doi.org/10.1038/nature01437

Dee, D. P., Uppala, S. M., Simmons, A. J., Berrisford, P., Poli, P., Kobayashi, S., ... & Vitart, F. (2011). The ERA‐Interim reanalysis: Configuration and performance of the data assimilation system. Quarterly Journal of the royal meteorological society, 137(656), 553-597. https://doi.org/10.1002/qj.828

Field, R., van der Werf, G. & Shen, S. (2009). Human amplification of drought-induced biomass burning in Indonesia since 1960. Nature Geosci, II, 185-188.

Frandsen, W. (1997). Ignition probability of organic soils. Can. J.For. Res. , 27(9), 1471-1477.

Friedlingstein, P., Bopp, L., Ciais, P., Dufresne, J. L., Fairhead, L., LeTreut, H., ... & Orr, J. (2001). Positive feedback between future climate change and the carbon cycle. Geophysical Research Letters, 28(8), 1543-1546. https://doi.org/10.1029/2000GL012015

Friedlingstein, P., Dufresne, J. L., Cox, P. M., & Rayner, P. (2003). How positive is the feedback between climate change and the carbon cycle?. Tellus B: Chemical and Physical Meteorology, 55(2), 692-700. https://doi.org/10.3402/tellusb.v55i2.16765

Fuller, D. O. (2006). Tropical forest monitoring and remote sensing: A new era of transparency in forest governance? Singapore Journal of Tropical Geography, 27(1), 15-29. https://doi.org/10.1111/j.1467-9493.2006.00237.x

Giglio, L., Randerson, J. T. & van der Werf, G. (2013). Analysis of daily, monthly, and annual burned area using the fourth-generation global fire emissions database (GFED4). Journal of Geophysical Research: Biogeosciences, 118(1), 317-328. https://doi.org/10.1002/jgrg.20042

Goff, J. & Gratch, S. (1946). Low-pressure properties of water from 160 to 212 F. Transactions of the American Society of Heating and Ventilating Engineers, 52, 95-121.

Hantson, S., Arneth, A., Harrison, S. P., Kelley, D. I., Prentice, I. C., Rabin, S. S., ... & Yue, C. (2016). The status and challenge of global fire modelling. Biogeosciences, 13(11), 3359-3375. https://doi.org/10.5194/bg-13-3359-2016

Hoojier, A., Page, S., Canadell, J., Silvius, M., Kwadijk, J., Wosten, H. & Jauhiainen. (2010). Current and future CO2 emissions from drained peatlands in Southeast Asia. Biogeosciences, 7(5), 1505-1514. https://doi.org/10.5194/bg-7-1505-2010

Huntrieser, H., Schumann, U., Schlager, H., Höller, H., Giez, A., Betz, H. D., ... & Calheiros, R. (2008). Lightning activity in Brazilian thunderstorms during TROCCINOX: implications for NO x production. Atmospheric Chemistry and Physics, 8(4), 921-953. https://doi.org/10.5194/acp-8-921-2008

Hurtt, G. C., Chini, L. P., Frolking, S., Betts, R. A., Feddema, J., Fischer, G., ... & Wang, Y. P. (2011). Harmonization of land-use scenarios for the period 1500–2100: 600 years of global gridded annual land-use transitions, wood harvest, and resulting secondary lands. Climatic change, 109(1), 117-161. https://doi.org/10.1007/s10584-011-0153-2

Labadz, J., Allott, T., Evans, M., Butcher, D., Bilett, M., Stainer, S., . . . Hart, R. (2010). Peatland Hydrology. IUCN Hydrology and Restoration Workshop.

Langner, A. & Siegert, F. (2007). The role of fire on land cover changes in Borneo. Sevilla-Espana Wildfire 2007.

Le Quéré, C., Moriarty, R., Andrew, R. M., Peters, G. P., Ciais, P., Friedlingstein, P., . . . Zeng, N. (2015). Global carbon budget 2014. Earth System Science Data, 7(1), 47-85. https://doi.org/10.5194/essd-7-47-2015

Li, F., Levis, S., & Ward, D. S. (2013). Quantifying the role of fire in the Earth system–Part 1: Improved global fire modeling in the Community Earth System Model (CESM1). Biogeosciences, 10(4), 2293-2314. https://doi.org/10.5194/bg102293-2013

Liu, J., Bowman, K. W., Schimel, D. S., Parazoo, N. C., Jiang, Z., Lee, M., ... & Eldering, A. (2017). Contrasting carbon cycle responses of the tropical continents to the 2015–2016 El Niño. Science, 358(6360), 1-7. https://doi.org/10.1126/science.aam5690

Mangeon, S. (2016). Developing and evaluating a global model for landscape fires. [Doctoral Dissertation], Imperial College London. https://doi.org/10.25560/ 48066

Mangeon, S., Voulgarakis, A., Gilham, R., Harper, A., Sitch, S., & Folberth, G. (2016). INFERNO: a fire and emissions scheme for the UK Met Office's Unified Model. Geoscientific Model Development, 9(8), 2685-2700. https://doi.org/10.5194/gmd-9-2685-2016

National Weather Service. (2015). Cold & Warm Episodes by Season. Retrieved from http://www.cpc.ncep.noaa.gov/products/analysis_monitoring/ensostuff/ensoyears.shtml

Page, S. E., Siegert, F., Rieley, J. O., Boehm, H. D. V., Jaya, A., & Limin, S. (2002). The amount of carbon released from peat and forest fires in Indonesia during 1997. Nature, 420(6911), 61-65. https://doi.org/10.1038/nature01131

Parish, F., Sirin, A., Charman, D., Joosten, H., Minayeva, T., Silvius, M. & Stringer, L. (2008). Assesment on Peatlands, Biodiversity and Climate Change. Wetlands International. Wageningen: Global Environment Centre.

Pechony, O. & Shindell, D. (2009). Fire parameterization on a global scale. Journal of Gephysical Research: Atmospheres, 114(D16). https://doi.org/10.1029/2009JD011927

Rein, G. (2016). Smoldering Combustion. In M. J. Hurley (Ed.), SFPE Handbook of Fire Protection Engineering (Vol. 5). Springer.

Rieley, J. & Page, S. (2005). Wise Use of Tropical Peatland: Focus on Southeast Asia. ALTERA-Wageningen University and Research Centre and the EU INCO-STRAPEAT and RESTORPEAT Partnership.

Siegert, F., Ruecker, G., Hinrichs, A., & Hoffmann, A. A. (2001). Increased damage from fires in logged forests during droughts caused by El Nino. Nature, 414(6862), 437-440. https://doi.org/10.1038/35106547

Someshwar, S., Boer, R. & Conrad, E. (2007). World Resources Report Case Study. Managing Peatland Fire Risk in Central Kalimantan, Indonesia. World Resources Report.

Soulsby, C., Tetzlaff, A., Rodgers, P., Dunn, S. & Waldron, S. (2006). Runoff processes, stream water residence times and controlling landscape characteristics in a mesoscale catchment: An initial evaluation. Journal of Hydrology, 325, 197-221.

Stocker, B. D., Spahni, R., & Joos, F. (2014). DYPTOP: a cost-efficient TOPMODEL implementation to simulate sub-grid spatio-temporal dynamics of global wetlands and peatlands. Geoscientific Model Development, 7(6), 3089-3110. https://doi.org/10.5194/gmd-7-3089-2014

Stocker, B. D., Yu, Z., Massa, C., & Joos, F. (2017). Holocene peatland and ice-core data constraints on the timing and magnitude of CO2 emissions from past land use. Proceedings of the National Academy of Sciences, 114(7), 1492-1497. https://doi.org/10.1073/pnas.1613889114

Trigg, S. N., Curran, L. M., & McDonald, A. K. (2006). Utility of Landsat 7 satellite data for continued monitoring of forest cover change in protected areas in Southeast Asia. Singapore Journal of Tropical Geography, 27(1), 49-66. https://doi.org/10.1111/j.1467-9493.2006.00239.x

van der Werf, G., Randerson, J., Giglio, L., Collatz, G., Kasibhatla, P. & Arellano Jr., A. (2006). Interannual variability in global biomass burning emissions from 1997 to 2004. Atmospheric Chemistry and Physics, 6(11), 3423-3441. https://doi.org/10.5194/acp-6-3423-2006

van der Werf, G. R., Randerson, J. T., Giglio, L., Collatz, G. J., Mu, M., Kasibhatla, P. S., ... & van Leeuwen, T. T. (2010). Global fire emissions and the contribution of deforestation, savanna, forest, agricultural, and peat fires (1997–2009). Atmospheric chemistry and physics, 10(23), 11707-11735. https://doi.org/10.5194/acp-10-11707-2010

Venevsky, S., Thonicke, K., Sitch, S., & Cramer, W. (2002). Simulating fire regimes in human‐dominated ecosystems: Iberian Peninsula case study. Global Change Biology, 8(10), 984-998. https://doi.org/10.1046/j.1365-2486.2002.00528.x

Wooster, M. J., Perry, G. L. W., & Zoumas, A. (2012). Fire, drought and El Niño relationships on Borneo (Southeast Asia) in the pre-MODIS era (1980–2000). Biogeosciences, 9(1), 317-340. https://doi.org/10.5194/bg-9-317-2012

World Resources Institute. (2016, March 21). globalforestwatch.org. Retrieved from http://fires.globalforestwatch.org/report/index.html#aoitype=ISLAND&dates=fYear-2016!fMonth-3!fDay-14!tYear-2016!tMonth-3!tDay-21&aois=Sulawesi! Maluku!Lesser%20Sunda!Java!Papua!Kalimantan!Sumatra

Additional Files

Published

2022-01-04

How to Cite

The Role of El Nino Variability and Peatland in Burnt Area and Emitted Carbon in Forest Fire Modeling . (2022). Forest and Society, 6(1), 84-103. https://doi.org/10.24259/fs.v6i1.10671