Modelling post-fire soil erosion hazard using ordinal logistic regression: A case study in South-eastern Spain

Geomorphology

Volumn 232, Issue , 2015, Pages 117-124

  Notario del Pino, Jesús S ^a   Ruiz Gallardo, José Reyes ^b  

^a UNIVERSIDAD DE LA LAGUNA   (Spain)

^b UNIVERSITY OF CASTILLA LA MANCHA   (Spain)

Author keywords

Aspect; Fire severity; Ordinal logistic regression model; Post fire soil erosion risk; Slope

Indexed keywords

FIRE BEHAVIOR; FOREST FIRE; NUMERICAL MODEL; REGRESSION ANALYSIS; SLOPE DYNAMICS; SOIL EROSION; WILDFIRE;

SPAIN;

EID: 85027955944     PISSN: 0169555X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.geomorph.2014.12.005     Document Type: Article

References (95)

1. Andreu V., Imeson A.C., Rubio J.L. Temporal changes in soil aggregates and water erosion after a wildfire in a Mediterranean pine forest. Catena 2001, 44:69-84.
2. Arianoutsou M., Kazanis D., Kokkoris Y., Skourou P. Land-Use Interactions with Fire in Mediterranean Pinus halepensis Landscapes of Greece: Patterns of Biodiversity. Forest Fires Research and Wildland Safety 2002, Millpress, Rotterdam, (electronic edition).
3. Aznar J.M., González-Pérez J.A., Badía D., Martí C. At what depth are the properties of a gypseous forest topsoil affected by burning?. Land Degrad. Dev. 2013, 10.1002/ldr.2258.
4. Badia A., Serra P., Modugno S. Identifying dynamics of fire ignition probabilities in two representative Mediterranean wildland-urban interface areas. Appl. Geogr. 2011, 31:930-940.
5. Boix-Fayos C., Martínez-Mena M., Calvo-Cases A., Arnau-Rosalén E., Albaladejo J., Castillo V. Causes and underlying processes of measurement variability in field erosion plots in Mediterranean conditions. Earth Surf. Process. Landf. 2007, 32:85-101.
6. Calera A., Martínez C., Melia J. A procedure for obtaining green plant cover: relation to NDVI in a case study for barley. Int. J. Remote Sens. 2001, 22:3357-3362.
7. CAMA-CM Parte del Incendio Forestal de Almansa (Albacete). Consejería de Agricultura y Medio Ambiente (CAMA). Junta de Comunidades de Castilla-La Mancha (CM) 2000, (Albacete).
8. CAMA-CM Parte del Incendio Forestal de Liétor (Albacete). Consejería de Agricultura y Medio Ambiente (CAMA). Junta de Comunidades de Castilla-La Mancha (CM) 2000, (Albacete).
9. Cameraat E. A review of two strongly contrasting geomorphological systems within the context of scale. Earth Surf. Process. Landf. 2002, 27:1201-1222.
10. Campo J., Andreu V., Gimeno-García E., Rubio J.L. Occurrence of soil erosion after repeated experimental fires in a Mediterranean environment. Geomorphology 2006, 82:376-387.
11. Cantón Y., Solé-Benet A., de Vente J., Boix-Fayos C., Calvo-Cases A., Asensio C., Puigdefábregas J. A review of runoff generation and soil erosion across scales in semiarid south-eastern Spain. J. Arid Environ. 2011, 75:1254-1261.
12. Carlson T.N., Ripley D. On the relation between NDVI, fractional vegetation cover and leaf area index. Remote Sens. Environ. 1997, 62:241-252.
13. Cerdà A. Soil aggregate stability under different Mediterranean vegetation types. Catena 1998, 32:73-86.
14. Cerdà A. Parent material and vegetation affect soil erosion in eastern Spain. Soil Sci. Soc. Am. J. 1999, 6:362-368.
15. Cerdà A., Imeson A.C., Calvo A. Fire and aspect induced differences on the erodibility and hydrology of soils at La Costera, Valencia, Southeast Spain. Catena 1995, 24:289-304.
16. Cerdà A., Bodí M.B., Lasanta T., Mataix-Solera J., Doerr S.H. Infiltración, estabilidad de agregados y erosión de suelos afectados por incendios forestales. Una visión a escala de pedión. Efectos de los incendios forestales sobre los suelos en España: El estado de la cuestión visto por los científicos españoles 2009, 357-383. Cátedra de Divulgación de la Ciencia, Valencia, Spain. A. Cerdà, J. Mataix-Solera (Eds.).
17. Chafer C.J. A comparison of fire severity measures: an Australian example and implications for predicting major areas of soil erosion. Catena 2008, 74:235-245.
18. Dangi S.R., Stahl P.D., Pendall E., Cleary M.B., Buyer J.S. Recovery of soil microbial community structure after fire in a sagebrush-grassland ecosystem. Land Degrad. Dev. 2010, 21:423-432.
19. De las Heras J., Martínez-Sánchez J.J., Herranz J.M., Del Pozo E. Erosión tras incendio en el SE de España: Protección de los suelos por la cubierta vegetal colonizadora durante las primeras etapas de la sucesión. Ecología 1993, 7:3-10.
20. De Luis M., Raventós J., Cortina J., González-Hidalgo J.C., Sánchez J.R. Fire and torrential rainfall: effects on the perennial grass Brachypodium retusum. Plant Ecol. 2004, 173:225-232.
21. De Santis A., Chuvieco E. Burn severity estimation from remotely sensed data: performance of simulation versus empirical models. Remote Sens. Environ. 2007, 108:422-435.
22. Dimitrakopoulos A.P., Mitsopoulos I.D., Gatoulas K. Assessing ignition probability and moisture of extinction in a Mediterranean grass fuel. Int. J. Wildland Fire 2010, 19:29-34.
23. Doerr S.H., Shakesby R.A. Soil water repellency. Principles, causes and relevance in fire-affected environments. Efectos de los incendios forestales sobre los suelos en España: El estado de la cuestión visto por los científicos españoles 2009, 59-75. Cátedra de Divulgación de la Ciencia, Valencia, Spain. A. Cerdà, J. Mataix-Solera (Eds.).
24. Doerr S.H., Shakesby R.A., Blake W.H., Chafer C.J., Humphreys G.S., Wallbrink P.J. Effects of differing wildfire severities on soil wettability and implications for hydrological response. J. Hydrol. 2006, 319:295-311.
25. Du Y., Teillet P.M., Cihlar J. Radiometric normalization of multitemporal high-resolution satellite images with quality control for land cover change detection. Remote Sens. Environ. 2002, 82:123-134.
26. Dun S., Wu J.Q., Elliot W.J., Robichaud P.R., Flanagan D.C., Frankenberger J.R., Brown R.E., Xu A.C. Adapting the Water Erosion Prediction Project (WEPP) model for forest applications. J. Hydrol. 2009, 366:46-54.
27. Escuin S., Navarro R., Fernández P. Fire severity assessment by using NBR (Normalized Burn Ratio) and NDVI (Normalized Difference Vegetation Index) derived from Landsat TM/ETM images. Int. J. Remote Sens. 2008, 29:1053-1073.
28. Fox D.M., Berolo W., Carrega A., Darboux F. Mapping erosion risk and selecting sites for simple erosion control measures after a forest fire in Mediterranean France. Earth Surf. Process. Landf. 2006, 31:606-621.
29. Fox D.M., Maselli F., Carrega A. Using SPOT images and field sampling to map burn severity and vegetation factors affecting post forest fire erosion risk. Catena 2008, 75:326-335.
30. García-Fayos P., Cerdà A. Seed losses by surface wash in degraded Mediterranean environments. Catena 1997, 29:73-83.
31. García-Fayos P., Recatalá T.M., Cerdà A., Calvo A. Seed population dynamics on badland slopes in southeastern Spain. J. Veg. Sci. 1995, 6:691-696.
32. García-Fayos P., García-Ventoso B., Cerdà A. Limitations to plant establishment on eroded slopes in southeastern Spain. J. Veg. Sci. 2000, 11:77-86.
33. García-Ruiz J.M. The effects of land uses on soil erosion in Spain: a review. Catena 2010, 81:1-11.
34. Gimeno-García E., Andreu V., Rubio J.L. Influence of vegetation recovery on water erosion at short and medium-term after experimental fires in a Mediterranean shrubland. Catena 2007, 69:150-160.
35. Herranz J.M., De las Heras J., Martínez Sánchez J.J. Efecto de la orientación sobre la recuperación de la vegetación natural tras el fuego en el Valle del Río Tus (Yeste, Albacete). Ecología 1991, 5:111-124.
36. Herranz J.M., Martínez-Sánchez J.J., De las Heras J. Fragmenta chorologica occidentalia. An. Jard. Bot. Madr. 1991, 49:128-133.
37. Hoord R.M., Brooner W. Land use map accuracy criteria. Photogramm. Eng. Remote. Sens. 1976, 42:671-677.
38. Imeson A.C., Lavee H., Calvo A., Cerdà A. The erosional response of calcareous soils along a climatological gradient in Southeast Spain. Geomorphology 1998, 24:3-16.
39. Inbar M., Tamir M., Wittenberg L. Runoff and erosion processes after a forest fire in Mount Carmel, a Mediterranean area. Geomorphology 1997, 24:17-33.
40. Jakubauskas M.E., Lulla K., Mausel P.W. Assessment of vegetation change in a fire-altered forest landscape. Photogramm. Eng. Remote. Sens. 1990, 56:371-377.
41. Johnson D.W., Fenn M.W., Miller W.W., Hunsaker C.F. Fire effects on carbon and nitrogen cycling in forests of the Sierra Nevada. Developments in Environmental Science 2009, Vol. 8:405-423. Elsevier B.V., Amsterdam. A. Bytnerowicz, M. Arbaugh, A. Riebau, C. Andersen (Eds.).
42. Keeley J., Bond W.J., Bradstock R.A., Pausas J.G., Rundel P.W. Fire in Mediterranean Ecosystems 2012, Cambridge Univ. Press, Cambridge, (515 pp.).
43. Key C.H., Benson N.C. Landscape assessment: ground measure of severity, the composite burn index; and remote sensing of severity, the normalized burn ratio. USDA Forest Service, Rocky Mountain Research Station, Ogden, UT. Gen. Tech. Rep. RMRS-GTR-164-CD: LA 2006, 1-51. (Retrieved from: http://www.frames.gov/documents/projects/firemon/FIREMON_LandscapeAssessment.pdf). D.C. Lutes, R.E. Keane, J.F. Caratti, C.H. Key, N.C. Benson, S. Sutherland, L.J. Gangi (Eds.).
44. Kirby M. Modeling the interactions between soil surface properties and water erosion. Catena 2001, 46:89-102.
45. Knicker H. How does fire affect the nature and stability of organic carbon? A review. Biogeochemistry 2007, 85:91-118.
46. Lentile L.B., Holden Z.A., Smith A.M.S., Falkowski M.J., Hudak A.T., Morgan P., Lewis S.A., Gessler P.E., Benson N.C. Remote sensing techniques to assess active fire characteristics and post-fire effects. Int. J. Wildland Fire 2006, 15:319-345.
47. Mallinis G., Maris F., Kalinderis I., Koutsias N. Assessment of post-fire soil erosion risk in fire-affected watersheds using remote sensing and GIS. GIScience Remote Sens. 2009, 46:388-410.
48. Margalef R. Ecología 1974, Omega Ed, Barcelona.
49. Marqués M.A., Mora E. The influence of aspect on runoff and soil loss in a Mediterranean burnt forest (Spain). Catena 1992, 19:333-344.
50. Martin D.A., Moody J.A. Comparison of soil infiltration rates in burned and unburned mountainous watersheds. Hydrol. Process. 2001, 15:2893-2903.
51. Mayor A.G., Bautista S., Llovet J., Bellot J. Post-fire hydrological and erosional responses of a Mediterranean landscape: seven years of catchment-scale dynamics. Catena 2007, 71:68-75.
52. Michalek J.L., French N.H.F., Kasischke E.S., Johnson R.D., Colwell J.E. Using Landsat TM data to estimate carbon release from burned biomass in an Alaskan spruce forest complex. Int. J. Remote Sens. 2000, 21:323-338.
53. Miller J.D., Nyhan J.W., Yool S.R. Modeling potential erosion due to the Cerro Grande Fire with a GIS-based implementation of the Revised Universal Soil Loss Equation. Int. J. Wildland Fire 2003, 12:85-100.
54. Moffet C.A., Pierson F.B., Robichaud P.R., Spaeth K.E., Hardegree S.P. Modelling soil erosion on steep sagebrush rangeland before and after prescribed fire. Catena 2007, 71:218-228.
55. Mutekanga F.P., Visser S.M., Stroosnijder L. A tool for rapid assessment of erosion risk to support decision-making and policy development at the Ngenge watershed in Uganda. Geoderma 2010, 160:165-174.
56. Nearing M.A., Foster G.R., Lane L.J., Finkner S.C. A process-based soil erosion model for USDA - water erosion prediction project technology. Trans. Am. Soc. Agric. Eng. 1989, 32:1587-1593.
57. Norušis M.J. SPSS® Statistics 17.0 Advanced Statistical Procedures Companion 2008, Prentice Hall Inc., Upper Saddle River.
58. Palà V., Pons X. Incorporation of relief into geometric corrections based on polynomials. Photogramm. Eng. Remote Sens. 1995, 61:935-944.
59. Pardini G., Gispert M., Dunjó G. Relative influence of wildfire on soil properties and erosion processes in different Mediterranean environments in NE Spain. Sci. Total Environ. 2004, 328:237-246.
60. Parsons A., Orlemann A. Mapping post-wildfire burn severity using remote sensing and GIS. 2002 ESRI International User Conference, 8-12 July, San Diego, CA 2002, USDA Forest Service, Remote Sensing Applications Center, Salt Lake City, UT.
61. Pausas J.G. Mediterranean vegetation dynamics: modelling problems and functional types. Plant Ecol. 1999, 140:27-39.
62. Pausas J.G. Response of plant functional types to changes in the fire regime in Mediterranean ecosystems: a simulation approach. J. Veg. Sci. 1999, 10:717-722.
63. Pausas J.G. Changes in fire and climate in the eastern Iberian peninsula (Mediterranean basin). Clim. Chang. 2004, 63:337-350.
64. Pausas J.G., Llovet J., Rodrigo A., Vallejo R. Are wildfires a disaster in the Mediterranean Basin? A review. Int. J. Wildland Fire 2008, 17:713-723.
65. Pérez-Cabello F., de la Riva Fernández J., Montorio Llovería R., García-Martín A. Mapping erosion-sensitive areas after wildfires using fieldwork, remote sensing, and geographic information systems techniques on a regional scale. J. Geophys. Res. 2006, 111:G04S10. 10.1029/2005JG000148.
66. Pérez-Cabello F., Ibarra P., Echeverria M.T., De la Riva J. Post-fire land degradation of Pinus sylvestris L. woodlands after 14years. Land Degrad. Dev. 2010, 21:145-160.
67. Pierson F.B., Carlson D.H., Spaeth K.E. Impacts of wildfire on soil hydrological properties of steep sagebrush-steppe rangeland. Int. J. Wildland Fire 2002, 11:145-151.
68. Pons X., Solé-Sugrañes L. A simple radiometric correction model to improve automatic mapping of vegetation from multispectral satellite data. Remote Sens. Environ. 1994, 48:191-204.
69. Rahman M.R., Shi Z.H., Chongfa C. Soil erosion hazard evaluation-an integrated use of remote sensing, GIS and statistical approaches with biophysical parameters towards management strategies. Ecol. Model. 2009, 220:1724-1734.
70. Renard K.G., Foster G.R., Weesies G.A., Porter J.P. RUSLE. Revised universal soil loss equation. J. Soil Water Conserv. 1991, 46:30-33.
71. Richards J.A. Remote Sensing Digital Image Analysis 1995, Springer-Verlag, Berlin. 2nd ed.
72. Robichaud P.R. Measurement of post-fire hillslope erosion to evaluate and model rehabilitation treatment effectiveness and recovery. Int. J. Wildland Fire 2005, 14:475-485.
73. Robichaud P.R., Beyers J.L., Neary D. Evaluating the Effectiveness of Postfire Rehabilitation Treatments. General Technical Report RMRS-GTR-63 2000, U.S. Dept. of Agriculture, Forest Service, Rocky Mountain Research Station, Fort Collins.
74. Robichaud P.R., Elliot W.J., Pierson F.B., Hall D.E., Moffet C.A. Predicting postfire erosion and mitigation effectiveness with a web-based probabilistic erosion model. Catena 2007, 71:229-241.
75. Rouse J.W., Haas R.H., Schell J.A., Deering D.W. Monitoring vegetation systems in the Great plains with Third ERTS. ERTS Symposium. NASA No. SP-351 1973, 309-317.
76. Ruiz de la Torre, J., 1993. Mapa Forestal de España 1:20000: Onteniente (7-8). Ministerio de Agricultura Pesca y Alimentación, Madrid.
77. Ruiz-Gallardo J.R. Teledetección y SIG en la asistencia postincendio forestal 2007, Servicio de publicaciones de la Universidad de Castilla-La Mancha, Cuenca.
78. Ruiz-Gallardo J.R., Castaño S., Calera A. Application of remote sensing and GIS to locate priority intervention areas after wildland fires in Mediterranean systems: a case study from south-eastern Spain. Int. J. Wildland Fire 2004, 13:241-252.
79. Rulli M.C., Rosso R. Hydrologic response of upland catchments to wildfires. Adv. Water Resour. 2007, 30:2072-2086.
80. Ryan K.C., Noste N.V. Evaluating prescribed fires. Wilderness Fire Symposium, Missoula 1985, 230-238. (November, 15-18).
81. Shakesby R.A., Doerr S.H. Wildfire as a hydrological and geomorphological agent. Earth-Sci. Rev. 2006, 74:269-307.
82. Shakesby R.A., Wallbrink P.J., Doerr S., English P., Chafer C.J., Humphreys G.S., Blake W.H., Tomkins K.M. Distinctiveness of wildfire effects on soil erosion in southeast Australian eucalypt forests assessed in a global context. For. Ecol. Manag. 2007, 238:347-364.
83. Shrimali S.S., Aggarwal S.P., Samra J.S. Prioritizing erosion-prone areas in hills using remote sensing and GIS-a case study of the Sukhna Lake catchment, Northern India. Int. J. Appl. Earth Obs. Geoinf. 2001, 3:54-60.
84. Soto B., Basanta R., Díaz-Fierros F. Effects of burning on nutrient balance in an area of gorse (Ulex europaeus L.) scrub. Sci. Total Environ. 1997, 204:271-281.
85. Stephens S.L., Finney M.A. Prescribed fire mortality of Sierra Nevada mixed conifer tree species: effects of crown damage and forest floor combustion. For. Ecol. Manag. 2002, 162:261-271.
86. Soil Survey Staff Soil survey manual. U.S. Department of Agriculture. Hand-book 1951, 18. U.S. Government Printing Office, Washington D.C.
87. Trabaud L., Marinez-Sanchez J.J., Ferrandis P., Gonzalez-Ochoa A.I., Herranz J.M. Végétation épigee et banque de semences du sol: leur contribution a la stabilité cyclique des pinédes mixtes de Pinus halepensis et P. pinaster. Can. J. Bot. 1997, 75:1012-1021.
88. Turner M.G., Romme W.H., Gardner R.H. Prefire heterogeneity, fire severity and early postfire plant reestablishment in subalpine forest of Yellowstone National Park, Wyoming. Int. J. Wildland Fire 1999, 9:21-36.
89. Van Wesemael B., Rambaud X., Poesen J., Muligan M., Cameraat E., Stevens A. Spatial patterns of land degradation and their impacts on the water balance of rainfed treecrops: a case study in South East Spain. Geoderma 2006, 133:43-56.
90. Varela M.E., Benito E., Keizer J.J. Wildfire effects on soil erodibility of woodlands in NW Spain. Land Degrad. Dev. 2010, 21:75-82.
91. Vega J., Jiménez E., Vega D., Ortiz L., Pérez J.R. Pinus pinaster Ait. tree mortality following wildfire in Spain. For. Ecol. Manag. 2011, 261:2232-2242.
92. Villar M.C., Petrikova V., Díaz-Raviña M., Carballas T. Changes in soil microbial biomass and aggregate stability following burning and soil rehabilitation. Geoderma 2004, 122:73-82.
93. White J.D., Ryan K.C., Key C.C., Running S.W. Remote sensing of forest fire severity and vegetation recovery. Int. J. Wildland Fire 1996, 6:125-136.
94. Wischmeier W.H., Smith D.D. Predicting Rainfall Erosion Losses. U.S.D.A. Handbook No. 537 1978, (Washington, DC).
95. Zhang X., Wu B., Ling F., Zeng Y., Yan N., Yuan C. Identification of priority areas for controlling soil erosion. Catena 2010, 83:76-86.