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Journal of the International Association of Wildland Fire
RESEARCH ARTICLE (Open Access)

Soil moisture as an indicator of growing-season herbaceous fuel moisture and curing rate in grasslands

Sonisa Sharma https://orcid.org/0000-0001-5091-4482 A D , J. D. Carlson B , Erik S. Krueger A , David M. Engle C , Dirac Twidwell C E , Samuel D. Fuhlendorf C , Andres Patrignani A F , Lei Feng A G and Tyson E. Ochsner A H
+ Author Affiliations
- Author Affiliations

A Department of Plant and Soil Sciences, Oklahoma State University, Stillwater, OK 74078, USA.

B Department of Biosystems and Agricultural Engineering, Oklahoma State University, Stillwater, OK 74078, USA.

C Department of Natural Resources Ecology and Management, Oklahoma State University, Stillwater, OK 74078, USA.

D Present address: Division of Plant Biology, Noble Research Institute, Ardmore, OK 73401, USA.

E Present address: Department of Agronomy and Horticulture, University of Nebraska – Lincoln, Lincoln, NE 68588, USA.

F Present address: Department of Agronomy, Kansas State University, Manhattan, KS 66506, USA.

G Present address: College of Information and Electrical Engineering, China Agricultural University, Beijing, 100083, China.

H Corresponding author. Email: tyson.ochsner@okstate.edu

International Journal of Wildland Fire 30(1) 57-69 https://doi.org/10.1071/WF19193
Submitted: 19 November 2019  Accepted: 17 September 2020   Published: 16 October 2020

Journal Compilation © IAWF 2021 Open Access CC BY

Abstract

Soil moisture depletion during the growing season can induce plant water stress, thereby driving declines in grassland fuel moisture and accelerating curing. These drying and curing dynamics and their dependencies on soil moisture are inadequately represented in fire danger models. To elucidate these relationships, grassland fuelbed characteristics and soil moisture were monitored in nine patches of tallgrass prairie under patch-burn management in Oklahoma, USA, during two growing seasons. This study period included a severe drought (in 2012), which resulted in a large wildfire outbreak near the study site. Fuel moisture of the mixed live and dead herbaceous fuels (MFM) clearly tracked soil moisture, expressed as fraction of available water capacity (FAW). MFM decreased with decreasing soil moisture below an FAW threshold of 0.59 and fell below 30% only when FAW fell below 0.30. Likewise, the curing rate increased linearly as FAW declined below 0.30, while Normalized Difference Vegetation Index (NDVI) readings failed to adequately respond to rapid drying and curing of the fuelbed. Incorporating soil moisture observations into grassland fuelbed models could result in more accurate fuel moisture and curing estimates, contributing to improved wildfire danger assessments and reduced losses of life and property due to wildfire outbreaks.

Keywords: curing, drought, fuel moisture, grassland, herbaceous, NDVI, soil moisture, wildfire.


References

Allan G, Johnson A, Cridland S, Fitzgerald N (2003) Application of NDVI for predicting fuel curing at landscape scales in northern Australia: can remotely sensed data help schedule fire management operations? International Journal of Wildland Fire 12, 299–308.
Application of NDVI for predicting fuel curing at landscape scales in northern Australia: can remotely sensed data help schedule fire management operations?Crossref | GoogleScholarGoogle Scholar |

Allen RG, Pereira LS, Raes D, Smith M (1998) Crop evapotranspiration – Guidelines for computing crop water requirements. FAO Irrigation and Drainage paper 56. (FAO: Rome, Italy) 300 pp.

Bielski CH, Twidwell D, Fuhlendorf SD, Wonkka CL, Allred BW, Ochsner TE, Krueger ES, Carlson JD, Engle DM (2018) Pyric herbivory, scales of heterogeneity and drought. Functional Ecology 32, 1599–1608.
Pyric herbivory, scales of heterogeneity and drought.Crossref | GoogleScholarGoogle Scholar |

Chen HI, Chang K-C (1991) Assessment of threshold and saturation pressure in the baroreflex function curve: a new mathematical analysis. Japanese Journal of Physiology 41, 861–877.
Assessment of threshold and saturation pressure in the baroreflex function curve: a new mathematical analysis.Crossref | GoogleScholarGoogle Scholar | 1806670PubMed |

Cheney NP, Gould JS, Catchpole WR (1998) Prediction of fire spread in grasslands. International Journal of Wildland Fire 8, 1–13.
Prediction of fire spread in grasslands.Crossref | GoogleScholarGoogle Scholar |

Chuvieco E, Cocero D, Riano D, Martin P, Martınez-Vega J, de la Riva J, Perez F (2004) Combining NDVI and surface temperature for the estimation of live fuel moisture content in forest fire danger rating. Remote Sensing of Environment 92, 322–331.
Combining NDVI and surface temperature for the estimation of live fuel moisture content in forest fire danger rating.Crossref | GoogleScholarGoogle Scholar |

Cooper C, Hyder D, Petersen R, Sneva F (1957) The constituent differential method of estimating species composition in mixed hay. Agronomy Journal 49, 190–193.
The constituent differential method of estimating species composition in mixed hay.Crossref | GoogleScholarGoogle Scholar |

Cruz M, Gould J, Alexander M, Sullivan A, McCaw W, Matthews S (2015a) ‘A guide to rate of fire spread models for Australian vegetation.’ (CSIRO Land and Water: Canberra, ACT, and AFAC: Melbourne, Vic., Australia)

Cruz MG, Gould JS, Kidnie S, Bessell R, Nichols D, Slijepcevic A (2015b) Effects of curing on grassfires: II. Effect of grass senescence on the rate of fire spread. International Journal of Wildland Fire 24, 838–848.
Effects of curing on grassfires: II. Effect of grass senescence on the rate of fire spread.Crossref | GoogleScholarGoogle Scholar |

Deák B, Valkó O, Török P, Végvári Z, Hartel T, Schmotzer A, Kapocsi I, Tóthmérész B (2014) Grassland fires in Hungary – experiences of nature conservationists on the effects of fire on biodiversity. Applied Ecology and Environmental Research 12, 267–283.
Grassland fires in Hungary – experiences of nature conservationists on the effects of fire on biodiversity.Crossref | GoogleScholarGoogle Scholar |

Dennison PE, Moritz MA, Taylor RS (2008) Evaluating predictive models of critical live fuel moisture in the Santa Monica Mountains, California. International Journal of Wildland Fire 17, 18–27.
Evaluating predictive models of critical live fuel moisture in the Santa Monica Mountains, California.Crossref | GoogleScholarGoogle Scholar |

Dong J, Ochsner TE (2018) Soil texture often exerts a stronger influence than precipitation on mesoscale soil moisture patterns. Water Resources Research 54, 2199–2211.
Soil texture often exerts a stronger influence than precipitation on mesoscale soil moisture patterns.Crossref | GoogleScholarGoogle Scholar |

Ellsworth LM, Dale AP, Litton CM, Miura T (2017) Improved fuel moisture prediction in non-native tropical Megathyrsus maximus grasslands using Moderate-Resolution Imaging Spectroradiometer (MODIS)-derived vegetation indices. International Journal of Wildland Fire 26, 384–392.
Improved fuel moisture prediction in non-native tropical Megathyrsus maximus grasslands using Moderate-Resolution Imaging Spectroradiometer (MODIS)-derived vegetation indices.Crossref | GoogleScholarGoogle Scholar |

Famiglietti JS, Ryu D, Berg AA, Rodell M, Jackson TJ (2008) Field observations of soil moisture variability across scales. Water Resources Research 44, W01423
Field observations of soil moisture variability across scales.Crossref | GoogleScholarGoogle Scholar |

Ford TW, McRoberts DB, Quiring SM, Hall RE (2015) On the utility of in situ soil moisture observations for flash drought early warning in Oklahoma, USA. Geophysical Research Letters 42, 9790–9798.
On the utility of in situ soil moisture observations for flash drought early warning in Oklahoma, USA.Crossref | GoogleScholarGoogle Scholar |

Fuhlendorf SD, Engle D (2004) Application of the fire–grazing interaction to restore a shifting mosaic on tallgrass prairie. Journal of Applied Ecology 41, 604–614.
Application of the fire–grazing interaction to restore a shifting mosaic on tallgrass prairie.Crossref | GoogleScholarGoogle Scholar |

García M, Chuvieco E, Nieto H, Aguado I (2008) Combining AVHRR and meteorological data for estimating live fuel moisture content. Remote Sensing of Environment 112, 3618–3627.
Combining AVHRR and meteorological data for estimating live fuel moisture content.Crossref | GoogleScholarGoogle Scholar |

Gillen RL, Tate KW (1993) The constituent differential method for determining live and dead herbage. Journal of Range Management 46, 142–147.
The constituent differential method for determining live and dead herbage.Crossref | GoogleScholarGoogle Scholar |

Gillen RL, McCollum FT, Brummer JE (1990) Tiller defoliation patterns under short duration grazing in tallgrass prairie. Journal of Range Management 43, 95–99.
Tiller defoliation patterns under short duration grazing in tallgrass prairie.Crossref | GoogleScholarGoogle Scholar |

Jensen D, Reager JT, Zajic B, Rousseau N, Rodell M, Hinkley E (2018) The sensitivity of US wildfire occurrence to pre-season soil moisture conditions across ecosystems. Environmental Research Letters 13, 014021
The sensitivity of US wildfire occurrence to pre-season soil moisture conditions across ecosystems.Crossref | GoogleScholarGoogle Scholar | 29479372PubMed |

Joint Fire Science Program (2011) OK-FIRE: weather-based decision support for wildland fire management. Fire Science Brief, Issue 127. Available at https://digitalcommons.unl.edu/jfspbriefs/102/ [Verified 24 September 2020]

Kidnie S, Cruz MG, Gould J, Nichols D, Anderson W, Bessell R (2015) Effects of curing on grassfires: I. Fuel dynamics in a senescing grassland. International Journal of Wildland Fire 24, 828–837.
Effects of curing on grassfires: I. Fuel dynamics in a senescing grassland.Crossref | GoogleScholarGoogle Scholar |

Krueger ES, Ochsner TE, Engle DM, Carlson J, Twidwell D, Fuhlendorf SD (2015) Soil moisture affects growing-season wildfire size in the Southern Great Plains. Soil Science Society of America Journal 79, 1567–1576.
Soil moisture affects growing-season wildfire size in the Southern Great Plains.Crossref | GoogleScholarGoogle Scholar |

Krueger ES, Ochsner TE, Carlson J, Engle DM, Twidwell D, Fuhlendorf SD (2016) Concurrent and antecedent soil moisture relate positively or negatively to probability of large wildfires depending on season. International Journal of Wildland Fire 25, 657–668.
Concurrent and antecedent soil moisture relate positively or negatively to probability of large wildfires depending on season.Crossref | GoogleScholarGoogle Scholar |

Krueger ES, Ochsner TE, Quiring SM, Engle DM, Carlson J, Twidwell D, Fuhlendorf SD (2017) Measured soil moisture is a better predictor of large growing-season wildfires than the Keetch–Byram Drought Index. Soil Science Society of America Journal 81, 490–502.
Measured soil moisture is a better predictor of large growing-season wildfires than the Keetch–Byram Drought Index.Crossref | GoogleScholarGoogle Scholar |

Limb RF, Fuhlendorf SD, Engle DM, Weir JR, Elmore RD, Bidwell TG (2011) Pyric–herbivory and cattle performance in grassland ecosystems. Rangeland Ecology and Management 64, 659–663.
Pyric–herbivory and cattle performance in grassland ecosystems.Crossref | GoogleScholarGoogle Scholar |

Linn R, Reisner J, Colman JJ, Winterkamp J (2002) Studying wildfire behavior using FIRETEC. International Journal of Wildland Fire 11, 233–246.
Studying wildfire behavior using FIRETEC.Crossref | GoogleScholarGoogle Scholar |

Livingston AC, Varner JM (2016) Fuel moisture differences in a mixed native and non-native grassland: implications for fire regimes. Fire Ecology 12, 73–87.
Fuel moisture differences in a mixed native and non-native grassland: implications for fire regimes.Crossref | GoogleScholarGoogle Scholar |

Marino E, Dupuy J-L, Pimont F, Guijarro M, Hernando C, Linn R (2012) Fuel bulk density and fuel moisture content effects on fire rate of spread: a comparison between FIRETEC model predictions and experimental results in shrub fuels. Journal of Fire Sciences 30, 277–299.
Fuel bulk density and fuel moisture content effects on fire rate of spread: a comparison between FIRETEC model predictions and experimental results in shrub fuels.Crossref | GoogleScholarGoogle Scholar |

Martin D, Grant I, Jones S, Anderson S (2009) Development of satellite vegetation indices to assess grassland curing across Australia and New Zealand. In ‘Innovations in remote sensing and photogrammetry’. (Eds S Jones, K. Reinke) pp. 211–227. (Springer-Verlag: Berlin, Germany)

Mathworks (2018) ‘Matlab version R2018a for Windows.’ (The MathWorks Inc.: Natick, MA, USA)

McPherson RA, Fiebrich CA, Crawford KC, Kilby JR, Grimsley DL, Martinez JE, Basara JB, Illston BG, Morris DA, Kloesel KA (2007) Statewide monitoring of the mesoscale environment: a technical update on the Oklahoma Mesonet. Journal of Atmospheric and Oceanic Technology 24, 301–321.
Statewide monitoring of the mesoscale environment: a technical update on the Oklahoma Mesonet.Crossref | GoogleScholarGoogle Scholar |

Mell WE, Manzello SL, Maranghides A, Butry D, Rehm RG (2010) The wildland–urban interface fire problem – current approaches and research needs. International Journal of Wildland Fire 19, 238–251.
The wildland–urban interface fire problem – current approaches and research needs.Crossref | GoogleScholarGoogle Scholar |

Mouillot F, Field CB (2005) Fire history and the global carbon budget: a 1× 1 fire history reconstruction for the 20th century. Global Change Biology 11, 398–420.

National Interagency Fire Center (2017) Wildland fire statistics. National Interagency Fire Center. (Boise, ID, USA). Available at http://www.nifc.gov/fireInfo/fireInfo_statistics.html [Verified 17 July 2017]

Newnham GJ, Verbesselt J, Grant IF, Anderson SAJ (2011) Relative Greenness Index for assessing curing of grassland fuel. Remote Sensing of Environment 115, 1456–1463.
Relative Greenness Index for assessing curing of grassland fuel.Crossref | GoogleScholarGoogle Scholar |

Noble IR, Gill AM, Bary GAV (1980) McArthur’s fire-danger meters expressed as equations. Australian Journal of Ecology 5, 201–203.
McArthur’s fire-danger meters expressed as equations.Crossref | GoogleScholarGoogle Scholar |

O S, Hou X, Orth R (2020) Observational evidence of wildfire-promoting soil moisture anomalies. Scientific Reports 10, 11008
Observational evidence of wildfire-promoting soil moisture anomalies.Crossref | GoogleScholarGoogle Scholar | 32620812PubMed |

Ochsner TE, Cosh MH, Cuenca RH, Dorigo WA, Draper CS, Hagimoto Y, Kerr YH, Njoku EG, Small EE, Zreda M (2013) State of the art in large-scale soil moisture monitoring. Soil Science Society of America Journal 77, 1888–1919.
State of the art in large-scale soil moisture monitoring.Crossref | GoogleScholarGoogle Scholar |

Ochsner TE, Linde E, Haffner M, Dong J (2019) Mesoscale soil moisture patterns revealed using a sparse in situ network and regression kriging. Water Resources Research 55, 4785–4800.
Mesoscale soil moisture patterns revealed using a sparse in situ network and regression kriging.Crossref | GoogleScholarGoogle Scholar |

Overholt KJ, Cabrera J, Kurzawski A, Koopersmith M, Ezekoye OA (2014) Characterization of fuel properties and fire spread rates for little bluestem grass. Fire Technology 50, 9–38.
Characterization of fuel properties and fire spread rates for little bluestem grass.Crossref | GoogleScholarGoogle Scholar |

Pellizzaro G, Cesaraccio C, Duce P, Ventura A, Zara P (2007) Relationships between seasonal patterns of live fuel moisture and meteorological drought indices for Mediterranean shrubland species. International Journal of Wildland Fire 16, 232–241.
Relationships between seasonal patterns of live fuel moisture and meteorological drought indices for Mediterranean shrubland species.Crossref | GoogleScholarGoogle Scholar |

Polley WH, Yang C, Wilsey BJ, Fay PA (2020) Spectrally derived values of community leaf dry matter content link shifts in grassland composition with change in biomass production. Remote Sensing in Ecology and Conservation
Spectrally derived values of community leaf dry matter content link shifts in grassland composition with change in biomass production.Crossref | GoogleScholarGoogle Scholar |

Powell J, Stadler S, Claypool P (1986) Weather factors affecting 22 years of tallgrass prairie hay production and quality. Journal of Range Management 39, 354–361.
Weather factors affecting 22 years of tallgrass prairie hay production and quality.Crossref | GoogleScholarGoogle Scholar |

Qi Y, Dennison P, Spencer J, Riaño D (2012) Monitoring live fuel moisture using soil moisture and remote sensing proxies. Fire Ecology 8, 71–87.
Monitoring live fuel moisture using soil moisture and remote sensing proxies.Crossref | GoogleScholarGoogle Scholar |

Rothermel RC (1972) A mathematical model for predicting fire spread in wildland fuels. USDA Forest Service, Intermountain Forest and Range Experiment Station, Research Paper INT-RP-115. (Ogden, UT, USA)

Rouse J, Haas R, Schell J, Deering D (1974) Monitoring vegetation systems in the Great Plains with ERTS. NASA Special Publication 351, 309–317.

Scott JH, Burgan RE (2005) Standard fire behavior fuel models: a comprehensive set for use with Rothermel’s surface fire spread model. USDA Forest Service, Rocky Mountain Research Station, Research Paper RMRS-GTR-153, pp. 1–72. (Fort Collins, CO, USA)

Seber GAF, Wild CJ (2003) ‘Non-linear regression.’ (Wiley-Interscience: Hoboken, NJ, USA)

Sharma S, Ochsner TE, Twidwell D, Carlson J, Krueger ES, Engle DM, Fuhlendorf SD (2018) Non-destructive estimation of standing crop and fuel moisture content in tallgrass prairie. Rangeland Ecology and Management 71, 356–362.
Non-destructive estimation of standing crop and fuel moisture content in tallgrass prairie.Crossref | GoogleScholarGoogle Scholar |

Sridhar V, Hubbard KG, You J, Hunt ED (2008) Development of the soil moisture index to quantify agricultural drought and its ‘user friendliness’ in severity–area–duration assessment. Journal of Hydrometeorology 9, 660–676.
Development of the soil moisture index to quantify agricultural drought and its ‘user friendliness’ in severity–area–duration assessment.Crossref | GoogleScholarGoogle Scholar |

Twidwell D, West AS, Hiatt WB, Ramirez AL, Winter JT, Engle DM, Fuhlendorf SD, Carlson J (2016) Plant invasions or fire policy: which has altered fire behavior more in tallgrass prairie? Ecosystems 19, 356–368.
Plant invasions or fire policy: which has altered fire behavior more in tallgrass prairie?Crossref | GoogleScholarGoogle Scholar |

Wang J, Rich PM, Price KP (2010) Temporal responses of NDVI to precipitation and temperature in the central Great Plains, USA. International Journal of Remote Sensing 22, 2345–2364.

Wittich K-P (2011) Phenological observations of grass curing in Germany. International Journal of Biometeorology 55, 313–318.
Phenological observations of grass curing in Germany.Crossref | GoogleScholarGoogle Scholar | 20574670PubMed |

Wotton BM, Alexander ME, Taylor SW (2009) Updates and revisions to the 1992 Canadian forest fire behavior prediction system. Canadian Forest Service, Great Lakes Forestry Centre, Information Report GLC-X-10. (Sault Ste Marie, ON, Canada)

Yebra M, Chuvieco E, Riaño D (2008) Estimation of live fuel moisture content from MODIS images for fire risk assessment. Agricultural and Forest Meteorology 148, 523–536.
Estimation of live fuel moisture content from MODIS images for fire risk assessment.Crossref | GoogleScholarGoogle Scholar |

Yebra M, Dennison PE, Chuvieco E, Riaño D, Zylstra P, Hunt ER, Danson FM, Qi Y, Jurdao S (2013) A global review of remote sensing of live fuel moisture content for fire danger assessment: moving towards operational products. Remote Sensing of Environment 136, 455–468.
A global review of remote sensing of live fuel moisture content for fire danger assessment: moving towards operational products.Crossref | GoogleScholarGoogle Scholar |

Zhang J, Kenworthy K, Unruh JB, Poudel B, Erickson JE, Rowland D, Kruse J (2017) Physiological responses to soil drying by warm-season turfgrass species. Crop Science 57, S-111–S-118.
Physiological responses to soil drying by warm-season turfgrass species.Crossref | GoogleScholarGoogle Scholar |