United States Department of Agriculture File Code: Route To: Subject: To: Forest Service Plumas National Forest 159 Lawrence Street P.O. Box 11500 Quincy, CA 95971-6025 (530) 534-7984 Text (TDD) (530) 283-2050 Voice Date: January 14, 2009 FY 2008 Progress Report on HFQLG Pilot Project Monitoring Effects of the Pilot Project Fuel Treatments on Wildfires and Air Quality Colin Dillingham, HFQLG Monitoring Coordinator The HFQLG Monitoring Plan addresses the 6 following smoke management and wildfire trend questions. These questions are answered below based on information provided by district offices within the HFQLG Pilot Project Area: Question 9: Were provisions of the Smoke Management Plan implemented? Question 26: Do prescribed fire activities meet air quality standards? Question 27: Do prescribed fires create a nuisance in terms of air quality? Question 23: What is the trend in large fire frequency? Question 24: What is the trend in severity of large fires on acres burned? Question 25: What is the effect of treatments on fire behavior and suppression? Question 9) Were provisions of the Smoke Management Plan implemented? Smoke Management Plans (SMP) are prepared in coordination California Air Resources Board, multiple counties (Lassen, Butte, Shasta, Butte, Tehama, and Plumas) and the Northeast Air Alliance. In part, the purpose of the SMP is to describe methods used to mitigate smoke related impacts to local and regional air quality. The objective of this question is to determine if burns meet the provisions of Smoke Management Plans (SMP) as defined in the California Air Resources Board Title 17 and the EPA’s Interim Air Quality Policy. The monitoring protocol is to conduct post-burn evaluations to assess adherence to SMP provisions for all burns. In FY08 there were no reported violations of provisions of Smoke Management Plans for prescribed burn activities implemented within the HFQLG Pilot Project Area. No Class I Airsheds were impacted and the Forest Service received no formal smoke complaints. In summary, provisions of the Smoke Management Plan were implemented for prescribed burn activities within the HFQLG Pilot Project Area. Question 26) Do prescribed fire activities meet air quality standards? The objective of this question is to determine if prescribed fire activities are in compliance with air quality standards. The monitoring protocol is to assess adherence to Smoke Management Plan provisions for burns utilizing data from Air Quality Management District (AQMD) recorders and/or portable recorders to assess impacts to air quality at receptor sites. In FY08, there were no reported violations of air quality standards due to prescribed burn activities within the HFQLG Pilot Project Area. Caring for the Land and Serving People Printed on Recycled Paper Question 27) Do prescribed fires create a nuisance in terms of air quality? The objective of this question is to determine if prescribed fire activities resulted in official smoke complaints and/or resulted in prescribed burns being discontinued due to these complaints. The monitoring protocol is to log the number of complaints (date, time, telephone number, address and type of impact) and to track the number of projects discontinued due to complaints about air quality resulting from prescribed burns. Approximately 7,553 acres of prescribed burning were implemented across the HFQLG Pilot Project Area in FY08 with no official complaints (Table 1). The absence of violations or complaints can be explained by extensive coordination and communication of prescribed burn activities between ranger districts, air districts and the public. This included public contact, which consisted of phone calls, press releases, door-to-door visits, and public information booths set up near burn project sites to directly answer questions and address concerns from the public. Land managers that conduct burning within the Northeast Air Alliance area (which the Pilot Project is part of) coordinate burn activities via e-mail daily, notifying each of the of the burn location, number of acres and duration. A smoke conference call also takes place on a daily basis and involves the California Air Resources Board, local air district managers, meteorologists from the Predictive Services Centers in northern and southern California, and prescribed burners. The smoke call is used to exchange weather and prescribed burn information between all the participating parties. Table 1. Total acres of under burning and pile burning and resulting smoke complaints for 20022008 Forest Number of Year Acres Burned Reporting Complaints 2002 Plumas 5,045 3 2003 Plumas 4,280 0 2004 All HFQLG 10,778 0 2005 All HFQLG 14,310 16 2006 All HFQLG 5,863 7 2007 All HFQLG 9,792 0 2008 All HFQLG 7,553 0 Question 23: What is the trend in large fire frequency? The objective of this question is to determine if fire frequency, indicated by fire size and number, are exhibiting an upward or downward trend, and if this trend has been influenced by implementation of the HFQLG pilot project. To evaluate fire trends within the HFQLG project area we used the 2007 fire atlas developed by the California Department of Forestry and Fire Protection (2008). This GIS data layer contains all fires over 10 acres and greater recorded on federal lands in California since 1900. This is the most comprehensive, long-term database of fire polygons in the western United States. A considerable amount of time has been spent validating and updating the data base over the last decade by USFS and Department of Interior staff and is it currently in a more complete state than previous versions. Although it is subject to errors (see Morgan et al. 2001), this dataset represents the best available information we have at this time. Fire size and mean fire size data were log transformed to improve normality. Trends in fire size, number of fires, and mean fire size were evaluated with Autoregressive Integrated Moving Average (ARIMA) time domain regression using Box-Jenkins techniques for model identification and estimation. ARIMA analysis found a significant increasing linear trend in mean fire size since 1900. The number of acres burned also indicated a linear increase, although this trend was not significant at the 0.05 level (p=0.09). On the other hand, number of fires since 1900 has not increased (Figure 1). These data agree with other larger scale analyses that have been conducted for the entire Sierra Nevada and southern Cascade ranges (Miller et al. 2008, Miller and Safford 2008) showing that fire size has shown a linear increase over the past century. However, because the HFQLG pilot project has not been implemented in its entirety (Pinchot 2008), it is difficult to determine the potential effect of HFQLG on large fire frequency at this time. Figure 1. ARIMA results for mean fire size, fire number and acres burned in the HFQLG project area since 1900. Values for mean fire size and acres burned are shown on a logarithmic scale. Question 24: What is the trend in severity of large fires on acres burned? The objective of this question is to determine if fire severity is exhibiting an upward or downward trend, and if this trend has been influenced by implementation of the HFQLG pilot project. To answer this question we used fire severity mapping produced by the USDA Forest Service (Miller and Thode 2007) for all fires greater than 100 acres from 1984 to 1999 for certain areas in the Sierra Nevada. Thirty-nine fires have been mapped for the HFQLG project area through this program. For each fire we calculated the area that was mapped as high severity (greater than 75% basal area mortality) and converted this to a percentage of total fire size. This percentage data was arcsine square root transformed to improve normality. Trends in percent high severity fire since 1984 were then evaluated with Autoregressive Integrated Moving Average (ARIMA) time domain regression using Box-Jenkins techniques for model identification and estimation. ARIMA found a significant linear increase in the percent of area burning at high severity across the HFQLG project area since 1984 (Figure 2). A pattern of increasing fire severity has also been documented for the entire Sierra Nevada and the southern Cascade mountains (Miller et al. 2008, Miller and Safford 2008). However, because the HFQLG pilot project has not been implemented in its entirety (Pinchot 2008), it is difficult to determine the potential effect of HFQLG on fire severity at this time. Figure 2. ARIMA model results for percent of high severity fires since 1984. Question 25: What is the effect of treatments on fire behavior and suppression? Within the Pilot Project area the Dow fire (Eagle Lake RD, Lassen NF, 1999), Cone fire (Blacks Experimental Forest, Lassen NF, 2002), the Stream fire (Mt Hough RD, Plumas NF, 2001), the Boulder Complex (Mt. Hough RD, Plumas NF, 2006), Wheeler and Moonlight fires, (Mt Hough RD, Plumas NF, 2007) and Calpine fire (Sierraville RD, Tahoe NF, 2007) have all been referenced in prior years to address this question and the reports are part of the Pilot Project Record. In 2008, 2 wildfires (Peterson and Rich) impacted fuel treatment areas. DFPZ effectiveness studies have been completed for both these fires and this information is summarized and available on the HFQLG website http://www.fs.fed.us/r5/hfqlg. Preliminary findings on the effects of treatments on fire behavior and suppression on these fires are that the Defensible Fuel Profile Zone (DFPZ) fuel breaks slowed the fire so much that suppression resources were able to concentrate their efforts on higher priority areas closer to communities and defer suppression efforts within the fuel break. In addition, the intensity of the fire was lower in the treated areas and preliminary reconnaissance indicates greater tree survival in the treated versus untreated area. Literature Cited California Department of Forestry and Fire Protection. 2007. Fire perimeters. Sacramento, California, USA: http://frap.cdf.ca.gov/data/frapgisdata/select.asp. Accessed: January 1, 2009. Miller, Jay D. and Andrea E. Thode. 2007. Quantifying burn severity in a heterogeneous landscape with a relative version of the delta Normalized Burn Ratio (dNBR). Remote Sensing of Environment 109(1): 66-80. Miller, Jay D. H. D. Safford, M. Crimmins. and A. E. Thode. 2008. Quantitative Evidence for Increasing Forest Fire Severity in the Sierra Nevada and Southern Cascade Mountains, California and Nevada,USA. Ecosystems online: http://www.springerlink.com/content/31p8137172h14274/fulltext.html. Miller, Jay D. and H. D. Safford. 2008 Sierra Nevada. Fire Severity Monitoring. 1984-2004. United States. Department of .Agriculture. Forest Service. Pacific Southwest. Region. R5TP-027-027. August 2008. 102 pp. Morgan P, Hardy C, Swetnam TW, Rollins MG, Long DG. 2001. Mapping fire regimes across time and space: understanding coarse and fine-scale patterns. Int J Wildland Fire 10: 1–14. Pinchot Institute. 2008. Report of the Herger-Feinstein Quincy Library Group Independent Science Panel to the USDA Forest Service (Phase One). 104 pp.