Modelling the Impacts of Wildfire on Ash Thickness in a Short-Term Period

Land Degradation and Development

Volumn 26, Issue 2, 2015, Pages 180-192

  Pereira, P ^a   Cerda A ^b   Ubeda X ^c   Mataix Solera, J ^d   Arcenegui, V ^d   Zavala, L M ^e  

^a MYKOLAS ROMERIS UNIVERSITY   (Lithuania)

^b UNIVERSITY OF VALENCIA   (Spain)

^c UNIVERSITY OF BARCELONA   (Spain)

^d MIGUEL HERNÁNDEZ UNIVERSITY   (Spain)

^e UNIVERSITY OF SEVILLE   (Spain)

Author keywords

Ash; Ash mobility; Fire severity; Soil protection; Spatial autocorrelation; Spatial predictor; Thickness

Indexed keywords

ASHES; AUTOCORRELATION; ENVIRONMENTAL PROTECTION; FIRES; INTERPOLATION; SCALES (WEIGHING INSTRUMENTS); SOIL CONSERVATION; SOILS;

FIRE SEVERITY; SOIL PROTECTION; SPATIAL AUTOCORRELATIONS; SPATIAL PREDICTOR; THICKNESS;

FIRE PROTECTION;

EID: 84922690914     PISSN: 10853278     EISSN: 1099145X     Source Type: Journal    
DOI: 10.1002/ldr.2195     Document Type: Article

References (105)

1. Aelion CM, Davies HT, McDermott S, Lawson AB. 2008. Metal concentration in rural topsoil in South Carolina: potential for human health impact. The Science of the Total Environment 402: 149-156.
2. Ahmed ZU, Panullah GM, DeGloria SD, Duxbury JM. 2011. Factors affecting paddy soil arsenic concentration in Bangladesh: prediction and uncertainty of geostatistical risk mapping. Science of the Total Environment 412-413: 324-335.
3. Angulo-Martinez M, Lopez-Vicente M, Vicente-Serrano SM, Bergueria S. 2009. Mapping rainfall erosivity at a regional scale: a comparison of interpolation methods in the Ebro Basin (NE Spain). Hydrology and Earth System Sciences 13: 1907-1920.
4. Bajocco S, Salvatti L, Ricotta C. 2010. Land degradation vs fire: a spiral process. Progress in Physical Geography 35: 3-18.
5. Bodi M, Mataix-Solera J, Doerr S, Cerdà A. 2011. The wettability of ash from burned vegetation and its relationship to Mediterranean plant species type, burn severity and total organic matter content. Geoderma 160: 599-607.
6. Bodi M, Doerr S, Cerdà A, Mataix-Solera J. 2012. Hydrological effects of a layer of vegetation ash on underlying wettable and water repellent soil. Geoderma 191: 14-13.
7. Bradstock RA, Hammill KA, Collins L, Price O. 2010. Effects of weather, fuel and terrain on fire severity in topographically diverse landscapes of southern Australia. Landscape Ecology 25: 607-619.
8. Brocca L, Morbidelli R, Melone F, Moramarco T. 2007. Soil moisture spatial variability in experimental areas of central Italy. Journal of Hydrology 333: 356-373.
9. Buczko U, Bens O, Durner W. 2006. Spatial and temporal variability of water repellency in sandy soil contaminated with tar oil and heavy metals. Journal of Contaminant Hydrology 88: 249-268.
10. Catry FX, Rego F, Silva F, Moreira F, Camia A, Ricotta C, Conedera M. 2010. Fire starts and human activities. In Towards integrated fire management - outcomes from the European project - Fire Paradox, Silva JS, Rego F, Fernands P, Rigolot E (eds). European Forest Institute Research Report: Joensuu, Finland 9-22.
11. Cerdà A. 1998. Changes in overland flow and infiltration after rangeland fire in a Mediterranean scrubland. Hydrological Processes 12: 1031-1042.
12. Cerdà A, Doerr S. 2008. The effect of ash and needle cover on surface runoff and erosion in the immediate post-fire period. Catena 74: 256-263.
13. Cerdà A, Doerr A. 2010. The effect of ant mounds on overland flow and soil erodibility following a wildfire in eastern Spain. Ecohydrology 3: 392-401.
14. Cetin M, Kirda C. 2003. Spatial and temporal changes of soil salinity in a cotton field irrigated with low quality water. Journal of Hydrology 272: 238-249.
15. Chaplot V, Darboux F, Bourennane H, Leguedois S, Silvera N, Phachomphon K. 2006. Accuracy of interpolation techniques for the derivation of digital elevation models in relation to landform types and data density. Geomorphology 77: 126-141.
16. Chien YJ, Lee DY, Guo HY. 1997. Geostatistical analysis of soil properties of mid-west Taiwan soils. Soil Science 162: 291-298.
17. Clark TL, Radke L, Coen J, Middelton D. 1999. Analysis of small-scale convective dynamics in a crown fire using infrared video camera imagery. Journal of Applied Metereology 38: 1401-1420.
18. Costa JF. 2003. Reducing the impact of outliers in ore reserves estimation. Mathematical Geology 35: 323-345.
19. De Luis M, Baeza MJ, Raventos J, Gonzalez-Hidalgo JC. 2004. Fuel characteristics and fire behaviour in mature Mediterranean scrublands. International Journal of Wildland Fire 13: 79-87.
20. Dlapa P, Bodi M, Mataix-Solera J, Cerdà A, Doerr SH. 2012. FT-IR spectroscopy reveals that ash water repellency is highly dependent on ash chemical composition. Catena. DOI: 10.1016/j.catena.2012.02.011
21. Edwards BL, Namikas SL. 2009. Small-scale variability in surface moisture on a fine grained beach: implications for modelling aeolian transport. Earth Surface Processes and Landforms 34: 1333-1338.
22. Erdogan S. 2009. A comparison of interpolation methods for producing digital elevation models at the field scale. Earth Surface Processes and Landforms 34: 366-376.
23. Erxleben J, Elder K, Davies R. 2002. Comparison of spatial interpolation methods for estimating snow distribution in the Colorado Rocky Mountains. Hydrological Processes 16: 3627-3649.
24. FAO. 2006. World reference base for soil resources 2006. A framework for international, classification, correlation and communication, World Soil Resources Reports 103.
25. Fernandez C, Vega JA, Jimenez E, Vieira DCS, Merino A, Ferreiro A, Fonturbel T. 2012. Seeding and mulching+seeding effects on post-fire runoff, soil erosion and species diversity in Galicia (NW Spain). Land Degradation & Development 23: 150-156.
26. Fu W, Tunney H, Zhang C. 2010. Spatial variation of soil nutrients in a dairy farm and its implications for site-specific fertilizer application. Soil & Tillage Research 106: 185-193.
27. Fu-Sheng C, De-Hui Z, Xing-Yuan H. 2006. Small-scale variability of soil nutrients and vegetation properties in semi-arid northern China. Pedosphere 16: 778-187.
28. Gabet EJ, Sternberg P. 2008. The effects of vegetative ash on infiltration capacity, sediment transport, and the generation of progressively bulked debris flows. Geomorphology 101: 666-673.
29. Goforth BR, Graham RC, Hubbert KR, Zanner W, Minnich RA. 2005. Spatial distribution of ash and thermally altered soils after high-severity forest fire, southern California. International Journal of Wildland Fire 14: 343-354.
30. Goovaerts P. AvRuskin G, Meliker J, Slotnick M, Jacquez G, Nriagu J. 2005. Geostatistical modelling of the spatial variability of arsenic in groundwater of southeast Michigan. Water Resources Research 41: W07013.
31. Gringarten E, Deutsch CV. 2001. Variogram interpretation and modelling. Matematical Geology 33: 507-537.
32. Herbst M, Prolingheuer N, Graf A, Huisman JA, Weihermuller L, Vanderborght J, Vereecken H. 2010. Multivariate conditional stochastic simulation of soil heterotrophic respiration at plot scale. Geoderma 160: 74-82.
33. Iqbal J, Thomasson JA, Jenkins JN, Owens PR, Whisler FD. 2005. Spatial variability analysis of soil physical properties of alluvial soil. Soil Science Society American Journal 69: 1338-1350. DOI: 10.2136/sssaj2004.0154
34. Juang KW, Lee DY, Ellsworth TR. 2001. Using rank-order geostatistics for spatial interpolation of highly skewed data in heavy-metal contaminated site. Journal of Environmental Quality 30: 894-903.
35. Keeley JE. 2009. Fire intensity, fire severity and burn severity: a brief review and suggested usage. International Journal of Wildland Fire 18: 116-126.
36. Kerry R, Goovaerts P, Rawlins BG, Marchant BP. 2012. Disaggregation of legacy soil data using area to point kriging for mapping soil organic carbon at the regional scale. Geoderma 170: 347-358.
37. Kinner DA, Moody JA. 2010. Spatial variability of steady-state infiltration into a two-layer soil system on burned hillslopes. Journal of Hydrology 381: 322-332.
38. Kishne AS, Bringmark E, Bringmark L, Alriksson A. 2003. Comparison of ordinary and lognormal kriging on skewed data of total Cadmium in forest soils of Sweden. Environmental Monitoring and Assessment 84: 243-263.
39. Kravchenko AN. 2003. Influence of spatial structure on accuracy of interpolation methods. Soil Science Society of America Journal 67: 1564-1571.
40. Larsen IJ, MacDonald LH, Brown E, Rough D, Welsh MJ, Pietraszek JH, Libohova Z, Benavides-Solorio Jd D, Schaffrath K. 2009. Causes of post-fire runoff and erosion: water repellency, cover, or soil sealing? Soil Science Society of America Journal 73: 1393-1407.
41. Lasanta T, Cerdà A. 2005. Long-term erosional responses after fire in the Central Spanish Pyrenees. Catena 60: 81-100.
42. Li J, Heap AD. 2011. A review of comparative studies of spatial interpolation methods in environmental sciences: performance and impact factors. Ecological Informatics 6: 228-241.
43. Luo W, Taylor MC, Parker SR. 2008. A comparison of spatial interpolation methods to estimate continuous wind speed surfaces using irregularity distributed data from England and Wales. International Journal of Climatology 28: 947-959.
44. Mabit L, Bernard C. 2010. Spatial distribution and content of soil organic matter in an agricultural field in eastern Canada, as estimated from geostatistical tools. Earth Surface Processes and Landforms 35: 278-283.
45. Marchetti A, Piccini C, Francaviglia R, Mabit L. 2012. Spatial distribution of soil organic matter using geostatistics. A key indicator to assess soil degradation status in central Italy. Pedosphere 22: 230-242.
46. Mardikis MG, Kalivas DP, Kollias VJ. 2005. Comparison of interpolation methods for the prediction of reference evapotranspiration - an application in Greece. Water Resources Management 19: 251-278.
47. Massman WJ, Frank JM, Mooney SJ. 2010. Advancing investigation and physical modelling of first-order fire effects in the soils. Fire Ecology 6: 36-50.
48. Mataix-Solera J, Cerdà A, Arcenegui V, Jordán A, Zavala L. 2011. Fire effects on soil aggregation: a review. Earth-Science Reviews 109: 44-60.
49. McBratney AB, Odeh IOA, Bishop TFA, Dunbar MS, Shatar TM. 2000. An overview of pedometric techniques for use in soil survey. Geoderma 97: 293-327.
50. McGrath D, Zhang C. 2003. Spatial distribution of soil organic carbon concentrations in grassland of Ireland. Applied Geochemistry 18: 1629-1639.
51. McGrath D, Zhang C, Carton OT. 2004. Geostatistical analysis and hazard assessment on soil lead in Silvermines area, Ireland. Environmental Pollution 127: 239-248.
52. McMillan H, Jackson B, Clark M, Kavetski D, Woods R. 2011. Rainfall uncertainity in hydrological modelling: an evaluation of multiplicative error methods. Journal of Hydrology 400: 83-94.
53. Minet J, Bogaert P, Vanclooster M, Lambot S. 2012. Validation of ground penetrating radar full-waveform inversion for field scale soil moisture mapping. Journal of Hydrology 424-425: 112-123.
54. Moody JA, Martin DA. 2009. Forest fire effects on geomorphic processes. In Fire effects on soils and restoration strategies, Cerdà A, Robichaud P (eds). Science Publishers. Enfield, New Hampshire. 41-79.
55. Moody JA, Kinner DA, Úbeda X. 2009. Linking hydraulic properties of fire affected soils to infiltration and water repellency. Journal of Hydrology 379: 291-303.
56. Moral FJ, Terron JM, Marques da Silva JR. 2010. Delineation of management zones using mobile measurements of soil electrical conductivity and multivariate geostatistical techniques. Soil & Tillage Research 106: 335-343.
57. Ne'eman G. 1997. Regeneration of natural pine forest - a review of work done after the 1989 fire in Mount Carmel, Israel. International Journal of Wildland Fire 7: 295-306.
58. Neary DG, Koestner KA, Youberg A, Koestner PE. 2012. Post-fire rill and gully formation, Schultz Fire 2010, Arizona, USA. Geoderma 191: 97-104.
59. Ne'eman G, Lahav H, Izhaki I. 1992. Spatial patterns of seedlings one year after fire in a Mediterranean pine forest. Oecologia 91: 365-370.
60. Onda Y, Dietrich WE, Booker F. 2008. Evolution of overland flow after a severe forest fire, Point Reyes, California. Catena 72: 13-20.
61. Outeiro L, Aspero F, Úbeda X. 2008. Geostatistical methods to study spatial variability of soil cations after a prescribed fire and rainfall. Catena 74: 310-320.
62. Pachepsky YA, Timlin DJ, Rawls WJ. 2001. Soil water retention as related to topographical variables. Soil Science Society of America Journal 65: 1787-1795.
63. Pereira P. 2011. Efectes de les temperatures del foc en les cendres produïdes per algunes espècies vegetals mediterrànies. Treballs de la societat catalana de geografía 71-72: 49-68.
64. Pereira P, Úbeda X. 2010. Spatial distribution of heavy metals released from ashes after a wildfire. Journal of Environmental Engineering and Landscape Management 18: 13-22.
65. Pereira P, Bodi M, Úbeda X, Cerdà A, Mataix-Solera J, Balfour V, Woods S. 2010a. Las cenizas y el ecosistema suelo. In Actualización en métodos y técnicas para el estudio de los suelos afectados por incendios forestales, Cerdà A, Jordan A (eds). Catedra para la divulgacio de la ciencia: Valencia; 345-398.
66. Pereira P, Cerdà A, Úbeda X, Mataix-Solera J, Martin DA. 2010b. Effects of fire in ash thickness in a Lithuanian grassland. Part II, grid analysis. In Research and post-fire management: soil protection and rehabilitation techniques for burnt forest ecosystems, Diaz-Ravina M, Benito E, Carballas T, Fontúrbel MT, Vega JA (eds). IIAG-CSIC: Santiago de Compostela, Spain; 269-272.
67. Pereira P, Úbeda X, Baltrenaite E. 2010c. Mapping total nitrogen in ash after a wildland fire: a microplot analysis. Ekologija 3-4: 144-152.
68. Pereira P, Úbeda X, Martin DA, Mataix-Solera J, Guerrero C. 2011. Effects of a low severity prescribed fire on water soluble elements in ash from a Cork Oak (Quercus suber) forest located in the northeast of the Iberian Peninsula. Environmental Research 111: 237-247.
69. Pereira P, Úbeda X, Martin DA. 2012. Fire severity effects on ash chemical composition and water-extractable elements. Geoderma 191: 105-114.
70. Perez-Cabello F, Ibarra P, Echeverria MT, De la Riva J. 2009. Post-fire land degradation on Pinus Sylvestris L. woodlands after 14 years. Land Degradation & Development 21: 145-160.
71. Poggio L, Gimona A, Brown I, Castellazzi M. 2010. Soil availability water capacity interpolation and spatial uncertainty modelling at multiple geographical extents. Geoderma 160: 175-188.
72. Robichaud PR, Miller SM. 1999. Spatial interpolation and simulation of post-burn duff thickness after prescribed fire. International Journal of Wildland Fire 9: 137-143.
73. Robichaud PR, Lewis SA, Laes DYM, Hudak AT, Kokaly RF, Zamudio J. 2007. Postfire soil burn severity mapping with hyperspectral image unmixing. Remote Sensing of Environment 108: 467-480.
74. Robinson TP, Metternicht G. 2006. Testing the performance of spatial interpolation techniques for mapping soil properties. Computers and Electronics in Agriculture 50: 97-108.
75. Roy DP, Boschetti L, Maier SW, Smith AMS. 2010. Field estimation of ash and char colour-lightness using a standard grey scale. International Journal of Wildland Fire 19: 698-704.
76. Ruelland D, Ardoin-Bardin S, Billen G, Servat E. 2008. Sensitivity of a lumped and semi-distributed hydrological model to several methods of rainfall interpolation on a large basin in West Africa. Journal of Hydrology 361: 69-117.
77. Sa ACL, Pereira JMC, Silva JMN. 2005. Estimation of combustion completeness based on fire-induced spectral reflectance changes in a dambo grassland (Western Province, Zambia). International Journal of Remote Sensing 26: 4185-4195.
78. Sarkhot DV, Grunwald S, Ge Y, Morgan CLS. 2011. Comparison and detection of total and available soil carbon fractions using visible/near infrared diffuse reflectance spectroscopy. Geoderma 164: 22-32.
79. Sato H, Goovaerts P. 2000. Geostatistical interpolation of positive skewed data and censored data in a dioxin-contaminated site. Environmental Science and Technology 34: 4228-4235.
80. Schöning I, Totsche KW, Kögel-Knaber I. 2006. Small scale spatial variability of organic carbon stocks in litter and solum of a forested Luvisol. Geoderma 136: 631-642.
81. Scott LM, Janikas M. 2010. Spatial statistics in ArcGis. In Handbook of applied spatial analysis: software tools, methods and applications, Fischer MM, Getis A (eds). Springer-Verlag;Heidelberg, Germany; 27-41.
82. Shakesby R. 2011. Post-wildfire soil erosion in the Mediterranean environment: review and future directions. Earth-Science Reviews 105: 71-100.
83. Sheridan GJ, Lane PNJ, Noske PJ. 2007. Quantification of hillslope runoff and erosion processes before and after wildfire in a wet Eucalyptus forest. Journal of Hydrology 343: 12-28.
84. Shi W, Liu J, Du Z, Song Y, Chen C, Yue T. 2009. Surface modelling of soil pH. Geoderma 150: 113-119.
85. Smith MJ, Goodchild MF, Longley PA. 2009. Geospatial analysis. A comprehensive guide to principles techniques and software tools. Troubador Publishing. Leicister.
86. Smith HG, Sheridan GJ, Lane PNJ, Nyman P, Haydon S. 2011. Wildfire effects on water quality in forest catchments: a review with implications for water supply. Journal of Hydrology 396: 170-192.
87. Stoof CR, Wesseling JG, Ritsema CJ. 2010. Effects of fire and ash on soil water retention. Geoderma 159: 276-285.
88. 2 emission estimated by different interpolation techniques. Plant and Soil 345: 187-194.
89. Thayer WC, Griffith DA, Goodrum PE, Diamond GL, Hassett JM. 2003. Application of geostatistics to risk assessment. Risk Analysis 23: 945-960.
90. Úbeda X, Outeiro L, Sala M. 2005. Vegetation regrowth after differential intensity forest fire in a Mediterranean environment, northeast Spain. Land Degradation & Development 17: 429-440.
91. Úbeda X, Pereira P, Outeiro L, Martin DA. 2009. Effects of fire temperature on the physical and chemical characteristics of the ash from two plots of cork oak (Quercus suber). Land Degradation & Development 20: 589-608.
92. Ulery AL, Graham RC, Amrhein C. 1993. Wood-ash composition and soil pH following intense burning. Soil Science 156: 358-364.
93. Valley RD, Drake MT, Anderson CS. 2005. Evaluation of alternative interpolation techniques for the mapping of remotely-sensed submersed vegetation abundance. Aquatic Botany 81: 13-25.
94. Waggenbrenner N, Lamb B, Robichaud P, Germino M. 2011. Measurment of PM10 emissions in a post-wildfire environment. In Fire effects on soil properties, Bento Goncalves A, Vieira A (eds). Guimaraes: Portugal; 64-68.
95. Webster R, Oliver MA. 2007. Geostatistics for environmental scientists. Wiley Interscience. 2nd ed. London.
96. Woods S, Balfour VN. 2008. The effect of ash on runoff and erosion after a severe forest fire, Montana, USA. International Journal of Wildland Fire 17: 535-548.
97. Woods SW, Balfour V. 2011. The effects of soil texture and ash thickness on the post-fire hydrological response from ash covered soils. Journal of Hydrology 393: 274-286.
98. Wu J, Norvell WA, Welch RM. 2006. Kriging on highly skewed data for DTPA-extractable soil Zn with auxiliary information for pH and organic carbon. Geoderma 134: 187-199.
99. Wu C, Wu J, Luo Y, Zhang H, Teng Y, DeGloria SD. 2011. Spatial interpolation of severely skewed data with several peak values by the approach integrating kriging and triangular irregular network interpolation. Environmental Earth Sciences 63: 1093-1103.
100. Xie Y, Chen, TB, Lei M, Yang J, Guo QJ, Song B, Zhou XY. 2011. Spatial distribution of soil heavy metal pollution estimated by different interpolation methods: accuracy and uncertainty analysis. Chemosphere 82: 468-476.
101. Zavala LM, Jordán A, Gil J, Bellinfante N, Pain C. 2009. Intact ash and charred litter reduces susceptibility to rain splash erosion post-wildfire. Earth Surface Processes and Landforms 34: 1522-1532.
102. Zhang C. 2006. Using multivariate analysis and GIS to identify pollutants and their spatial patterns in urban soils in Galway. Environmental Pollution 142: 501-511.
103. Zhang CS, Manheim FT, Hinde J, Grossman JN. 2005. Statistical characterization of a geochemical database and effect of sample size. Applied Geochemistry 20: 1857-1874.
104. Zhang X, Jiang H, Zhou G, Xiao Z, Zhang Z. 2012. Geostatistical interpolation of missing data and downscaling of spatial resolution for remotely sensed atmospheric methane column concentrations. International Journal of Remote Sensing 33: 120-134.
105. Zhou Z, Sun OJ, Luo Z, Jin H, Chen Q, Han X. 2008. Variation in small-scale spatial heterogeneity of soil properties and vegetation with different land use in semiarid grassland ecosystem. Plant and Soil 310: 103-112.