Assessing the risk of ignition in the Russian Far East within a modeling framework of fire threat

Ecological Applications

Volumn 17, Issue 3, 2007, Pages 791-805

  Loboda, Tatiana V ^a   Csiszar, Ivan A ^a  

^a UNIVERSITY OF MARYLAND   (United States)

Author keywords

Anthropogenic activity; Far East; Fire threat modeling; Fuzzy logic; GIS; MODIS; Remote sensing; Risk of ignition; Russia

Indexed keywords

CLIMATE CHANGE; FIRE; FOREST FIRE; FUZZY MATHEMATICS; GIS; HUMAN ACTIVITY; LAND USE CHANGE; MODELING; MODIS; REMOTE SENSING; RISK ASSESSMENT;

ARTICLE; ENVIRONMENTAL PROTECTION; FIRE; RUSSIAN FEDERATION; THEORETICAL MODEL;

CONSERVATION OF NATURAL RESOURCES; FIRES; MODELS, THEORETICAL; RUSSIA;

EURASIA; RUSSIAN FAR EAST; RUSSIAN FEDERATION;

EID: 34247206611     PISSN: 10510761     EISSN: None     Source Type: Journal    
DOI: 10.1890/05-1476     Document Type: Article

References (22)

1. Bushnell, W. 2002. Managing fire in Russia's Far East. USDA Forest Service International Programs, Global Leaflet, Issue Number 1.
2. Friedl, M. A., et al. 2002. Global land cover mapping from MODIS: algorithms and early results. Remote Sensing of Environment 83:287-302.
3. Giglio, L., J. Descloitres, C. O. Justice, and Y. J. Kaufman. 2003. An enhanced contextual fire detection algorithm for MODIS. Remote Sensing of Environment 87(2-3):273-282.
4. Gillett, N. P., A. J. Weaver, F. W. Zwiers, and M. D. Flannigan. 2004. Detecting the effect of climate change on Canadian forest fires. Geophysical Research Letters 31(18):article number L18211.
5. Iliadis, L. S. 2005. A decision support system applying an integrated fuzzy model for long-term forest fire risk estimation. Environmental Modeling and Software 20:613-621.
6. Korontzi, S., J. McCarty, T. Loboda, S. Kumar, and C. Justice. 2006. Global distribution of agricultural fires in croplands from 3 years of moderate resolution imaging spectroradiometer (MODIS) data. Global Biogeochemical Cycles 20, GB2021. [doi:10.1029/2005GB002529]
7. Korovin, G. N. 1996. Analysis of the distribution of forest fires in Russia. Pages 112-128 in J. G. Goldammer and V. V. Furyaev, editors. Fire in ecosystems of boreal Eurasia. Kluwer Academic, Dordrecht, The Netherlands.
8. Kovacs, K., K. J. Ranson, G. Sun, and V. I. Kharuk. 2004. The relationship of the Terra MODIS fire product and anthropogenic features in the central Siberian landscape. Earth Interactions 8(18):1-25.
9. Loboda, T. V., and I. A. Csiszar. In press. Reconstruction of fire spread within wildland fire events in northern Eurasia from the MODIS active fire product. Global Environmental Change, NEESPI special issue.
10. Malczewski, J. 1999. GIS and multicriteria decision analysis. John Wiley and Sons, New York, New York, USA.
11. Martell, D. L. 2001. Forest fire management. Pages 527-584 in E. A. Johnson and K. Miyanishi, editors. Forest fires: behavior and ecological effects. Academic Press, San Diego, California, USA.
12. Miquelle, D. G., T. W. Merrill, Y. M. Dunishenko, E. N. Smirnov, H. B. Quigley, D. G. Pikunov, and M. G. Hornocker. 1999. A habitat protection plan for the Amur tiger: developing political and ecological criteria for a viable land-use plan. Pages 273-289 in J. Seidensticker, S. Christie, and P. Jackson, editors. Riding the tiger: tiger conservation in human-dominated landscapes. Cambridge University Press, Cambridge, UK.
13. Preisler, H. K., D. R. Brillinger, R. E. Burgan, and J. W. Benoit. 2004. Probability based model for estimation of wildfire risk. International Journal of Wildland Fire 13:133-142.
14. Sasikala, K. R., M. Petrou, and J. Kittler. 1996. Comparison of different fuzzy logic rules for uncertain reasoning with a GIS. Pages 121-128 in E. Binaghi, P. A. Brivio, and A. Rampini, editors. Series in Remote Sensing. Volume 1. Proceedings of the International Workshop on Soft Computing in Remote Sensing Data Analysis (Milan, Italy, 4-5 December 1995). World Scientific Press, River Edge, New Jersey, USA.
15. Solichin, S., J. G. Goldammer, A. A. Hoffmann, and G. Rucker. 2003. Fire threat analysis in West Kutai District of East Kalimantan, Indonesia. Proceedings of the Fourth International EARSeL Workshop on Remote Sensing and GIS Applications to Forest Fire Management: Innovative Concepts and Methods in Fire Danger Estimation. Ghent University, Ghent, Belgium.
16. Stocks, B. J. 1993. Global warming and forest fires in Canada. Forestry Chronicle 69(3):290-293.
17. Stocks, B. J., M. A. Fosberg, T. J. Lynham, L. Mearns, B. M. Wotton, Q. Yang, J.-Z. Jin, K. Lawrence, G. R. Hartley, J. A. Mason, and D. W. McKenney. 1998. Climate change and forest fire potential in Russian and Canadian boreal forests. Climatic Change 38:1-13.
18. Stolbovoi, V., and I. McCallum. 2003. Land resources of Russia. CD-Rom. International Institute for Applied Systems Analysis and the Russian Academy of Science, Laxenburg, Austria.
19. USGS/GLCF. 2004. 3 Arc Second SRTM Elevation. Version 1.0. Reprocessed to GeoTIFF by the GLCF. Global Land Cover Facility, College Park, Maryland, USA.
20. WDPA Consortium 2005. World database on protected areas 2005-copyright World Conservation Union (IUCN) and UNEP-World Conservation Monitoring Centre (UNEP-WCMC). 〈http://gis.tnc.org/data/IMS/WDPA_viewer/WDPA_info/index. html〉
21. Whelan, R. J. 1995. The ecology of fire. Cambridge University Press, Cambridge, UK.
22. Yager, R. R. 1988. On ordered weighted averaging aggregation operators in multi-criteria decision making. IEEE Transactions on Systems, Man and Cybernetics 18 (1):183-190.