A Bayesian belief network analysis of factors influencing wildfire occurrence in Swaziland

Environmental Modelling and Software

Volumn 25, Issue 2, 2010, Pages 199-208

  Dlamini, Wisdom M ^a  

^a Swaziland National Trust Commission   (Swaziland)

Author keywords

Bayesian belief network; Geographic information system; Probabilistic inference; Swaziland; Wildfire

Indexed keywords

ANNUAL RAINFALL; AQUA SATELLITES; ARCVIEW; BAYESIAN BELIEF NETWORK; BAYESIAN BELIEF NETWORKS; ERROR RATE; FIRE MANAGEMENT; GIS DATA; LAND COVER; MODERATE RESOLUTION IMAGING SPECTRORADIOMETER; PREDICTIVE ACCURACY; PROBABILISTIC INFERENCE; RECEIVER OPERATING CHARACTERISTICS; SATELLITE REMOTE SENSING; SWAZILAND;

ATMOSPHERICS; COMPUTER SOFTWARE; ELECTRIC NETWORK ANALYSIS; FIRES; GEOGRAPHIC INFORMATION SYSTEMS; INFORMATION SYSTEMS; RADIOMETERS; REMOTE SENSING; SATELLITE IMAGERY;

BAYESIAN NETWORKS;

ACCURACY ASSESSMENT; ARCVIEW; BAYESIAN ANALYSIS; BIOTIC FACTOR; DATA ACQUISITION; ECOSYSTEM MANAGEMENT; FIRE MANAGEMENT; GLOBAL CLIMATE; INFORMATION TECHNOLOGY; MODELING; MODIS; PREDICTION; PROBABILITY; WILDFIRE;

SWAZILAND;

EID: 74249107650     PISSN: 13648152     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.envsoft.2009.08.002     Document Type: Article

References (98)

1. Andrews P.L., and Queen L.P. Wildfire modeling and information system technology. International Journal of Wildland Wildfire 10 (2001) 343-352
2. Bond W.J., and Keeley J.E. Fire as a global 'herbivore': the ecology and evolution of flammable ecosystems. Trends in Ecology and Evolution 20 (2005) 387-394
3. Borsuk M.E., Stow C.A., and Reckhow K. A Bayesian network of eutrophication models for synthesis, prediction and uncertainty analysis. Ecological Modelling 173 (2004) 219-239
4. ® to develop Bayesian networks as an aid to integrated water resource planning. Environmental Modelling & Software 20 (2005) 231-242
5. Brooks M.L., and Matchett J.R. Spatial and temporal patterns of wildfires in the Mojave Desert, 1980-2004. Journal of Arid Environments 67 (2006) 148-164
6. Cain J. Planning Improvements in Natural Resources Management: Guidelines for Using Bayesian Belief Networks to Support the Planning and Management of Development Programmes in the Water Sector and Beyond (2001), Centre for Ecology and Hydrology, Natural Environment Research Council, Wallingford, UK
7. Cardille J.A., Ventura S.J., and Turner M.G. Environmental and social factors influencing wildfires in the upper midwest, USA. Ecological Applications 11 1 (2001) 111-127
8. Castelletti A., and Soncini-Sessa R. Bayesian networks in water resource modelling and management. Environmental Modelling & Software 22 8 (2007) 1073-1074
9. Chefaoui R.M., and Lobo J.M. Assessing the effects of pseudo-absences on predictive distribution model performance. Ecological Modelling 210 (2008) 478-486
10. Chou Y.H. Management of wildfires with a geographical information system. International Journal of Geographical Information Systems 6 2 (1992) 123-140
11. Chuvieco E.W., Giglio L., and Justice C. Global characterization of fire activity: toward defining fire regimes from Earth observation data. Global Change Biology 14 (2008) 1488-1502
12. Clark J.S. Effect of climate change on wildfire regimes in northwestern Minnesota. Nature 334 (1990) 233-235
13. Colwell R.G., Dawid A.P., and Speigelhalter D.J. Sequential model criticism in probabilistic expert systems. IEEE Transactions on Pattern Analysis and Machine Intelligence 15 3 (1993) 209-219
14. Congalton R.G., and Green K. Assessing the Accuracy of Remotely Sensed Data: Principles and Practices (1998), Lewis, Boca Raton, Florida, USA
15. DeBano L.F., Neary D.G., and Folliott P.F. Wildfire's Effects on Ecosystems (1998), John Wiley and Sons, New York
16. Dlamini, W.M., 2007. A review of the July 2007 Swaziland fire disaster using GIS and MODIS data. PositionIT, September/October 2007, 61-65.
17. Dorner S., Shi J., and Swayne D. Multi-objective modelling and decision support using a Bayesian network approximation to a non-point source pollution model. Environmental Modelling & Software 22 2 (2007) 211-222
18. Dwyer E., Gregoire J.M., and Pereira J.M.C. Climate and vegetation as driving factors in global wildfire activity. In: Innes J.L., Beniston M., and Verstraete M.M. (Eds). Biomass Burning and its Inter-Relationships with the Climate System (2000), Springer, New York 171-191
19. ESRI. ArcView: Release 3.3 (2002), Environmental Systems Research Institute, Redlands, California
20. Eva H., and Lambin E.F. Fires and land-cover change in the tropics: a remote sensing analysis at the landscape scale. Journal of Biogeography 27 (2000) 765-776
21. Falk D.A., Miller C., McKenzie D., and Black A.E. Cross-scale analysis of wildfire regimes. Ecosystems 10 (2007) 809-823
22. Fielding A.H., and Bell J.F. A review of methods for the assessment of prediction errors in conservation presence/absence models. Environmental Conservation 24 (1997) 38-49
23. Flannigan M.D., and van Wagner C.E. Climate change and wildfire in Canada. Canadian Journal of Forestry Research 21 (1991) 66-72
24. Frost, P.G.H., 1999. Wildfire in southern African woodlands: origins, impacts, effects, and control. In: Proceedings of an FA0 Meeting on Public Policies Affecting Forest Wildfires, FAO Forestry Paper 138, pp 181-205.
25. Frost P., and Vosloo H. Satellite-based early warnings of fires: reducing fire flashovers on transmission lines. ESI Africa 2 (2006) 48-51
26. Fuls E.R. Ecosystem modification created by patch-overgrazing in semi-arid grassland. Journal of Arid Environments 23 (1992) 59-69
27. Gavin D.G., Brubaker L.B., and Lertzman K.P. An 1800-year record of the spatial and temporal distribution of fire from the west coast of Vancouver Island, Canada. Canadian Journal of Forest Research 33 (2003) 573-586
28. Gibson L.A., Wilson B.A., and Aberton J.G. Landscape characteristics associated with species richness and occurrence of small native mammals inhabiting a coastal heathland: A spatial modeling approach. Biological Conservation 120 (2004) 75-89
29. Giglio L., Descloitres J., Justice C.O., and Kaufman Y.J. An enhanced contextual fire detection algorithm for MODIS. Remote Sensing of Environment 87 (2003) 273-282
30. Guisan A., and Zimmermann N.E. Predictive habitat distribution models in ecology. Ecological Modelling 135 (2000) 147-186
31. Henriksen H.J., Rasmussen P., Brandt G., von Bulow D., and Jensen F.V. Public participation modeling using Bayesian networks in management of groundwater contamination. Environmental Modelling and Software 22 (2007) 1101-1113
32. Hessl A., Miller J., Kernan J., Keenum D., and McKenzie D. Mapping paleo-wildfire boundaries from binary point data: comparing interpolation methods. The Professional Geographer 59 1 (2007) 87-104
33. Hulme M., Doherty R.M., Ngara T., New M.G., and Lister D. African climate change: 1900-2100. Climate Research 17 (2001) 145-168
34. Jenness J. Random point generator (randpts.avx) extension for arcview 3.x, v.1.3. [Online URL] (2005). (accessed 17.07.07)
35. Justice C.O., Giglio L., Korontzi S., Owens J., Morisette J.T., Roy D., Descloitres J., Alleaume S., Petitcolin F., and Kaufman Y. The MODIS fire products. Remote Sensing of the Environment 83 (2002) 244-262
36. Kalabokidis K.D., Koutsias N., Konstantinidis P., and Vasilakos C. Multivariate analysis of landscape wildfire dynamics in a Mediterranean ecosystem of Greece. Area 39 3 (2007) 392-402
37. Kalácska M., Sánchez-Azofeifa G.A., Caelli T., Rivard B., and Boerlage B. Estimating leaf area index from satellite imagery using Bayesian belief networks. IEEE Transactions on Geoscience and Remote Sensing 43 8 (2005) 1866-1873
38. Keane R.E., and Long D.G. A comparison of coarse scale wildfire effects simulation strategies. Northwest Science 72 2 (1998) 76-90
39. Kiiveri H.T., Caccetta P., and Evans F. Use of conditional probability networks for environmental monitoring. International Journal of Remote Sensing 22 (2001) 1173-1190
40. Kraak M., and Ormeling F. Cartography, Visualization of Spatial Data (1996), Addison Wesley Longman Limited, Essex, England
41. Korb K.B., and Nicholson A.E. Bayesian Artificial Intelligence (2004), Chapman and Hall/CRC Press, London
42. Korontzi S., Roy D.P., Justice C.O., and Ward D.E. Modeling and sensitivity analysis of wildfire emissions in southern Africa during SAFARI 2000. Remote Sensing of Environment 92 (2004) 255-275
43. Koutsias N., Kalabokidis K.D., and Allgöwer B. Wildfire occurrence patterns at landscape level: beyond positional accuracy of ignition points with kernel density estimation methods. Natural Resource Modeling 17 (2004) 359-375
44. Lauritzen S.L. The EM algorithm for graphical association models with missing data. Computational Statistics and Data Analysis 19 2 (1995) 191-201
45. Lauritzen S.L., and Spiegelhalter D.J. Local computations with probabilities on graphical structures and their application to expert systems. Journal of the Royal Statistical Society 50 2 (1988) 157-224
46. Lavorel S., Flannigan M.D., Lambin E.F., and Scholes M.C. Vulnerability of land systems to wildfire: interactions among humans, climate, the atmosphere, and ecosystems. Mitigation and Adaptation Strategies for Global Change 12 (2007) 33-53
47. Maingi J.K., and Henry M.C. Factors influencing wildfire occurrence and distribution in eastern Kentucky, USA. International Journal of Wildland Wildfire 16 (2007) 23-33
48. Malingreau J.-P. The contribution of remote sensing to the global monitoring of fires in tropical and subtropical ecosystems. In: Goldammer J.G. (Ed). Fires in the Tropical Biota, Ecosystem Processes and Global Challenges (1990), Springer-Verlag, Berlin 337-370
49. Manel S., Williams H.C., and Ormerod S.J. Evaluating presence-absence models in ecology: the need to account for prevalence. Journal of Applied Ecology 38 (2001) 921-931
50. Marcot B.G., Steventon J.D., Sutherland G.D., and McCann R.K. Guidelines for developing and updating Bayesian belief networks applied to ecological modeling and conservation. Canadian Journal of Forestry Research 36 (2006) 3063-3074
51. Martin T.G., Kuhrnet P.M., Mengersen K., and Possingham H.P. The power of expert opinion in ecological models using Bayesian methods: impact of grazing on birds. Ecological Applications 15 (2005) 266-280
52. Matondo J.I., Peter G., and Msibi K.M. Evaluation of the impact of climate change on hydrology and water resources in Swaziland: part II. Physics and Chemistry of the Earth 29 (2004) 1193-1202
53. McCann R.K., Marcot B.G., and Ellis R. Bayesian belief networks: applications in ecology and natural resource management. Canadian Journal of Forestry Research 36 (2006) 3053-3062
54. Melching C.S. Reliability estimation. In: Singh V.P. (Ed). Computer Models of Watershed Hydrology (1995), Water Resources Publication, Highlands Ranch, Colorado 69-118
55. Miller J. Incorporating spatial dependence in predictive vegetation models: residual interpolation methods. The Professional Geographer 57 (2005) 169-184
56. Morgan M.G., and Henrion M. Uncertainty: A Guide to Dealing with Uncertainty in Quantitative Risk and Policy Analysis (1990), Cambridge Press, New York
57. Morisette J.T., Giglio L., Csiszar I., and Justice C.O. Validation of the MODIS active fire product over southern Africa with ASTER data. International Journal of Remote Sensing 26 19 (2005) 4239-4264
58. Mouillot F., Ratte J.-P., Joffre R., Moreno J.M., and Rambal S. Some determinants of the spatio-temporal wildfire cycle in a Mediterranean landscape (Corsica, France). Landscape Ecology 18 (2003) 665-674
59. Myers B., Allan G., Bradstock R., Dias L., Duff G., Jacklyn P., Landsberg J., Morrison J., Russell-Smith J., and Williams R. Wildfire Management in the Rangelands (2004), Tropical Savannas CRC, Darwin, Australia
60. Neapolitan E. Probabilistic Reasoning in Expert Systems (1990), Wiley, New York
61. Nepstad D., Carvalho G., Barros A.C., Alencar A., Capobianco J.P., Bishop J., Moutinho P., Lefebvre P., and Lopes da Silva Jr. U. Road paving, fire regime feedbacks and the future of Amazon forests. Forest Ecology and Management 154 (2001) 395-407
62. Nishihama M., Wolfe R., Solomon D., Patt F., Blanchette J., Fleig A., and Masuoka E. MOD28 Algorithm Theoretical Basis Document: Level 1A Earth Location V3.0. Technical Report. August 1997. [Online URL] (1997), NASA, GSFC, Washington, USA. modis.gsfc.nasa.gov/data/atbd/atbd mod28 v3.pdf (accessed 21.04.07)
63. Norsys Software Corporation. Netica verison 4.02. [Online URL] (2007). (accessed 09.06.07)
64. Ofren R.S., and Harvey E. A multivariate decision tree analysis of biophysical factors. Tropical Forest Wildfire Occurrence. Integrated Tools Proceedings (1998) 221-227 Boise, Idaho, USA, 16-20 August 1998
65. Olalla F.M., Dominguez A., Ortega F., Artigao A., and Fabeiro C. Bayesian networks in planning a large aquifer in Eastern Mancha, Spain. Environmental Modelling & Software 22 8 (2007) 1089-1100
66. Pearl J. Probabilistic Reasoning in Intelligent Systems (1988), Morgan Kaufmann, San Mateo, California
67. Pearl J. Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference (1998), Morgan Kaufmann, San Mateo, California
68. Pepe M.S., Cai T., and Longton G. Combining predictors for classification using the area under the receiver operating characteristic curve. Biometrics 62 1 (2006) 221-229
69. Pollino C.A., Woodberry O., Nicholson A., Korb K., and Hart B.T. Parameterisation and evaluation of a Bayesian belief network for use in an ecological risk assessment. Environmental Modelling and Software 22 8 (2007) 1140-1152
70. Remmelzwaal, A., 1993. Physiographic Map of Swaziland. FAO/UNDP/GOS Land Use Planning for Rational Utilization of Land and Water Resources, Project SWA/89/001 Field Document 4. Mbabane, Swaziland.
71. Riaño D., Moreno Ruiz J.A., Barón Martínez J., and Ustin S.L. Burned area forecasting using past burned area records and southern oscillation index for tropical Africa (1981-1999). Remote Sensing of Environment 107 (2007) 571-581
72. Rollins M.G., Keane R.E., and Parsons R.A. Mapping fuels and wildfire regimes using remote sensing, ecosystem simulation, and gradient modeling. Ecological Applications 14 1 (2004) 75-95
73. Roques K.G., ÓConnor T.G., and Watkinson A.R. Dynamics of shrub encroachment in an African savanna: relative influences of wildfire, herbivory, rainfall and density dependence. Journal of Applied Ecology 38 (2001) 268-280
74. Salomonson, V.V., Wolfe, R.E., 2004. MODIS geolocation approach, results and the future. IEEE Geoscience and Remote Sensing Letters (2003 IEEE Workshop on Advances in Techniques for Analysis of Remote Sensing Data), 424-427.
75. Scholes R.J. The influence of soil fertility on the ecology of southern African dry savannas. Journal of Biogeography 17 (1990) 415-419
76. Schroeder W., Prins E., Giglio L., Csiszar I., Schmidt C., Morisette J., and Morton D. Validation of GOES and MODIS active fire detection products using ASTER and ETM data. Remote Sensing of Environment 112 (2008) 2711-2726
77. Smith C.S., Howes A.L., Price B., and McAlpine C.A. Using a Bayesian belief network to predict suitable habitat of an endangered mammal - the Julia Creek dunnart (Sminthopsis douglasi). Biological Conservation 139 (2007) 333-347
78. Spiegelhalter D.J., Dawid A.D., Lauritzen S.L., and Cowell R.G. Bayesian analysis in expert systems. Statistical Science 8 (1993) 219-283
79. Stratton R.D. Guidance on spatial wildland wildfire analysis: models, tools, and techniques. General Technical Report RMRS-GTR-183 (2006), Department of Agriculture, Forest Service, Rocky Mountain Research Station, Fort Collins, CO: U.S.
80. Sweet R.J., and Khumalo S. Range Resources and Grazing Potentials in Swaziland (1994), Ministry of Agriculture and Cooperatives/United Nations Development Programme, Mbabane
81. Tansey K., Grégoire J.M., Stroppiana D., Sousa A., Silva J., Pereira J.M.C., Boschetti L., Maggi M., Brivio P.A., Fraser R., Flasse S., Ershov D., Binaghi E., Graetz D., and Peduzzi P. Vegetation burning in the year 2000: global burned area estimates from spot vegetation data. Journal of Geophysical Research 109 (2004) D14S03
82. Taroni F., Biedermann A., Gabolino P., and Aitken C.G.G. A general approach to Bayesian belief networks for the interpretation of evidence. Forensic Science International 139 (2004) 5-16
83. Ticehurst J.I., Newham L.T.H., Rissik D., Letcher R.A., and Jakeman A.J. A Bayesian network approach for assessing the sustainability of coastal lakes in New South Wales, Australia. Environmental Modelling and Software 22 8 (2007) 1129-1139
84. Tremblay J.-P., Hester A., Mcleod J., and Huot J. Choice and development of decision support tools for the sustainable management of deer-forest systems. Forest Ecology and Management 191 (2004) 1-16
85. Trollope W.S.W., de Ronde C., and Geldenhuys C.J. Wildfire behavior. In: Goldammer J.G., and de Ronde (Eds). Wildland Wildfire Management Handbook for Sub-Saharan Africa (2004), Global Wildfire Monitoring Centre (GFMC) 27-59
86. Van der Werf G.R., Randerson J.T., Giglio L., Collatz G.J., Kasibhatla P.S., and Arellano Jr. A.F. Interannual variability of global biomass burning emissions from 1997 to 2004. Atmospheric Chemistry and Physics Discussions 6 (2006) 3175-3226
87. Van Wilgen B., and Scholes R. The vegetation and wildfire regimes of southern hemisphere Africa. In: In van Wilgen B.W., Andreae M.O., Goldammer J.G., and Lindesay J.A. (Eds). Wildfire in Southern Afn'can Savannas (1997), Witwatersrand University Press, Johannesburg 27-46
88. Vasconcelos M.J.P., Silva S., Tomé M., Alvim M., and Pereira J.M.C. Spatial prediction of fire ignition probabilities: comparing logistic regression and neural networks. Photogrammetric Engineering and Remote Sensing 67 (2001) 73-81
89. Venkataraman C., Habib G., Kadamba D., Shrivastava M., Leon J.-F., Crouzille B., Boucher O., and Streets D.G. Emissions from open biomass burning in India: integrating the inventory approach with high-resolution Moderate Resolution Imaging Spectroradiometer (MODIS) active-wildfire and land cover data. Global Biogeochemical Cycles 20 (2006) GB2013
90. Von Maltitz G.P., and Scholes R.J. Vulnerability of Southern African Fauna and Flora to Climate Change. AIACC Working Paper No. 24 (2006), Assessments of Impacts and Adaptations to Climate Change (AIACC), Washington, DC
91. Walker B.H. Structure and function of savannas: an overview. In: Tothill J.C., and Mott J.J. (Eds). Ecology and Management of the World's Savannas (1985), Australian Academy of Science, Canberra 83-91
92. Wan S., Hui D., and Luo Y. Wildfire effects on nitrogen pools and dynamics in terrestrial ecosystems: a metaanalysis. Ecological Applications 11 (2001) 1349-1365
93. Wang, S., Zhou, Y., Wang, L., 2003. A Research On Fire Automatic Recognition Using MODIS Data. IEEE International Geoscience and Remote Sensing Symposium (IGARSS03), Toulouse, France, July 21-25, 2003. 4, 2502-2504.
94. Watanabe M., and Yamaguchi K. The EM Algorithm and Related Statistical Models (2003), Marcel Decker, New York
95. Weir J.R. Using relative humidity to predict spotwildfire probability on prescribed burns. In: Sosebee R.E., Wester D.B., Britton C.M., McArthur E.D., and Kitchen S.G. (Eds). Proceedings: Shrubland Dynamics-Wildfire and Water; 2004 August 10-12; Lubbock, TX. Proceedings RMRS-P-47 (2007), Department of Agriculture, Forest Service, Rocky Mountain Research Station, Fort Collins, CO: U.S. 69-72
96. Wiens J.A. Vertebrate responses to environmental patchiness in arid and semiarid ecosystems. In: Pickett S.T.A., and White P.S. (Eds). The Ecology of Natural Disturbance and Patch Dynamics (1985), Academic Press, New York 169-193
97. Yuen J.E., and Mila A. Are Bayesian approaches useful in plant pathology?. In: Van Boekel M.A.J.S., Stein A., and Van Bruggen A.H.C. (Eds). Proceedings: Bayesian Statistics and Quality Modelling in the Agro-food Production Chain (2003), Springer-Verlag, Wageningen, Netherlands/New York 95-103
98. Zheng Y., Cai T., and Feng Z. Application of the time-dependent ROC curves for prognostic accuracy with multiple biomarkers. Biometrics 62 1 (2006) 279-287