title: Assessing the risk of ignition in the Russian far east within a modeling framework of fire threat.
abstract: The forests of high biological importance in the Russian Far East (RFE) have been experiencing increasing pressure from growing demands for natural resources under the changing economy of post-Soviet Russia. This pressure is further amplified by the rising threat of large and catastrophic fire occurrence, which threatens both the resources and the economic potential of the region. In this paper we introduce a conceptual Fire Threat Model (FTM) and use it to provide quantitative assessment of the risk of ignition in the Russian Far East. The remotely sensed data driven FTM is aimed at evaluating potential wildland fire occurrence and its impact and recovery potential for a given resource. This model is intended for use by resource managers to assist in assessing current levels of fire threat to a given resource, projecting the changes in fire threat under changing climate and land use, and evaluating the efficiency of various management approaches aimed at minimizing the fire impact. Risk of ignition (one of the major uncertainties within fire threat modeling) was analyzed using the MODIS active fire product. The risk of ignition in the RFE is shown to be highly variable in spatial and temporal domains. However, the number of ignition points is not directly proportional to the amount of fire occurrence in the area. Fire ignitions in the RFE are strongly linked to anthropogenic activity (transportation routes, settlements, and land use). An increase in the number of fire ignitions during summer months could be attributed to (1) disruption of the summer monsoons and subsequent changes in fire weather and (2) an increase in natural sources of fire ignitions.
authors.affiliation: Geography Department, University of Maryland, 2181 LeFrak Hall, College Park, Maryland 20742, USA. tloboda@hermes.geog.umd.edu
authors.forename: Tatiana V
authors.initials: TV
authors.lastname: Loboda
authors.forename: Ivan A
authors.initials: IA
authors.lastname: Csiszar
mesh_terms: D003247:Conservation of Natural Resources; D005390:Fires; D008962:Models, Theoretical; D012426:Russia