Human-Started Wildfires Expand the Fire Niche across the United States. Wildfire Risk and Housing Prices: A Case Study from Colorado Springs.

United Nations Transforming Our World: The 2030 Agenda for Sustainable Development. Calkin, D.E. ; Keeley, J.E. Urban Wildland Interface Communities Within the Vicinity of Federal Lands that Are at High Risk from Wildfire. Moreira, F.; Ascoli, D.; Safford, H.; Adams, M.; Moreno, J.M. Certainly, other variables are risk factors for fire occurrence and spread, not to mention severity, including time since last fire, quantity and flammability of vegetation, severe weather, climate, number of ignitions, topography, land use, fire breaks, and “firespreads” or “firesheds”.

; Nagy, R.C. Medium-density intermix had similar area even though the maximum housing density varied (i.e., the SILVIS WUI housing density extended to 741 houses/ha).

definition of an “at risk community”) that is identified in recommendations to the Secretary of Agriculture in a Community Wildfire Protection Plan, or A WUI is any area for which a Community Wildfire Protection Plan is not in effect, but is within ½ mile of the boundary of an “at risk community”. This is important to establish because it is the humans and not the houses that increase number of ignitions. The area of low-density intermix was about 1.5 times greater even though housing density thresholds were the same because of the differing vegetation cover thresholds. ; Fusco, E.J. [. In British Columbia, structure density (i.e.

The WUI refers to areas where wildland vegetation … Bento-Gonçalves, A.; Vieira, A. Wildfires in the wildland-urban interface: Key concepts and evaluation methodologies. Implications of WUI reclassification include more communities identified with exposure to fire.

2020.

; Mockrin, M.H. Preventing disaster: Home ignitability in the wildland-urban interface. Platt, R.V. Classifier methods use training data with known classes (e.g., fire occurrence) and explanatory variables to develop a relationship (e.g., machine learning algorithm) that allows assignment of unknown observations into classes. Total WUI area in the United States increased by 33% between from 1990 to 2010 and 50% between 1970 and 2000 [, A greater area of WUI, or more communities of concern for fire exposure, may prompt protection and actions to mitigate risk through fuel treatments.

Available online: Zambon, I.; Cerdà, A.; Gambella, F.; Egidi, G.; Salvati, L. Industrial Sprawl and Residential Housing: Exploring the Interplay between Local Development and Land-Use Change in the Valencian Community, Spain. ; Maranghides, A.; Butry, D.; Rehm, R.G. The other regions had 2000 to 4000 fires. ¯�‰Nk¶×UóÊpäÎ%e´ŒY‰åd>�½N­ùR¼ÈϸñàhÄÁ®iÀãƒ%ãÌ^ÎìåP–˜7Ş6†È�ÌùñÙƒ›mõLIAJŞ›»ºd�ˆ–颡#ÏϺ.Ş×aF&çƒE-ÑÓ�æ?ê¢Õ½jßÀ9vlM1TıĞj´ËÔX®lÆa’¦6±6�™�÷;H!yMøBSğ1‚�ÀÔmÓë‚àn�“1¯Ù BòÌ‹ÀÙ—~(²ÌnÜİ%j–ˆ�ËY„6­ûdd�d©¸2|‰äm&Â$',Gÿ+–iÅfæ"¿gÌ—®Å ¥4_€5œ£!4Vßı—÷AŠƒpq]>æ¸Oà}=V2^à�à'¬ªË»+«ôƒ$NŞñા¦õ®ÚƒC€g*0< ñ|Bh_V8™fù;^sLPİôˆ?Œwf�Ÿ(úuÊ¡ tÑ1îàÈĞß±ı€ä¿ÀE0ùoff*�lÄ£Ä�}3y€9Dûfäé’rV/ÈȳNdõ]R',-d1º‰ºÿTù*¨=…=¡JU]ÃTÀáœ+[ğIDl These are known as data mining or machine learning classifiers due to use of rules or decision trees [.

1.2 Wildland-Urban Interface; from a wildland fire perspective 1.2.1 People and Structures A key component in meeting the underlying need is the protection and treatment of fire hazard in the WUI. Fernandez-Delgado et al. ; Hawbaker, T.J.