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• 21. [Article] Interactions Among Fuel Management, Species Composition, Bark Beetles, and Climate Change and the Potential Effects on Forests of the Lake Tahoe Basin

  Climate-driven increases in wildfires, drought conditions, and insect outbreaks are critical threats to forest carbon stores. In particular, bark beetles are important disturbance agents although their ...

  Citation × Citation Citation Abstract Copy Title: Interactions Among Fuel Management, Species Composition, Bark Beetles, and Climate Change and the Potential Effects on Forests of the Lake Tahoe Basin Author: Scheller, Robert M., Kretchun, Alec M., Loudermilk, E. Louise, Hurteau, Matthew D., Weisberg, Peter J., Skinner, Carl Year: 2017 Climate-driven increases in wildfires, drought conditions, and insect outbreaks are critical threats to forest carbon stores. In particular, bark beetles are important disturbance agents although their long-term interactions with future climate change are poorly understood. Droughts and the associated moisture deficit contribute to the onset of bark beetle outbreaks although outbreak extent and severity is dependent upon the density of host trees, wildfire, and forest management. Our objective was to estimate the effects of climate change and bark beetle outbreaks on ecosystem carbon dynamics over the next century in a western US forest. Specifically, we hypothesized that (a) bark beetle outbreaks under climate change would reduce net ecosystem carbon balance (NECB) and increase uncertainty and (b) these effects could be ameliorated by fuels management. We also examined the specific tree species dynamics—competition and release—that determined NECB response to bark beetle outbreaks. Our study area was the Lake Tahoe Basin (LTB), CA and NV, USA, an area of diverse forest types encompassing steep elevation and climatic gradients and representative of mixed-conifer forests throughout the western United States. We simulated climate change, bark beetles, wildfire, and fuels management using a landscape-scale stochastic model of disturbance and succession. We simulated the period 2010–2100 using downscaled climate projections. Recurring droughts generated conditions conducive to large-scale outbreaks; the resulting large and sustained outbreaks significantly increased the probability of LTB forests becoming C sources over decadal time scales, with slower-than-anticipated landscape-scale recovery. Tree species composition was substantially altered with a reduction in functional redundancy and productivity. Results indicate heightened uncertainty due to the synergistic influences of climate change and interacting disturbances. Our results further indicate that current fuel management practices will not be effective at reducing landscape-scale outbreak mortality. Our results provide critical insights into the interaction of drivers (bark beetles, wildfire, fuel management) that increase the risk of C loss and shifting community composition if bark beetle outbreaks become more frequent. Title: Interactions Among Fuel Management, Species Composition, Bark Beetles, and Climate Change and the Potential Effects on Forests of the Lake Tahoe Basin Author: Scheller, Robert M., Kretchun, Alec M., Loudermilk, E. Louise, Hurteau, Matthew D., Weisberg, Peter J., Skinner, Carl Year: 2017 Climate-driven increases in wildfires, drought conditions, and insect outbreaks are critical threats to forest carbon stores. In particular, bark beetles are important disturbance agents although their long-term interactions with future climate change are poorly understood. Droughts and the associated moisture deficit contribute to the onset of bark beetle outbreaks although outbreak extent and severity is dependent upon the density of host trees, wildfire, and forest management. Our objective was to estimate the effects of climate change and bark beetle outbreaks on ecosystem carbon dynamics over the next century in a western US forest. Specifically, we hypothesized that (a) bark beetle outbreaks under climate change would reduce net ecosystem carbon balance (NECB) and increase uncertainty and (b) these effects could be ameliorated by fuels management. We also examined the specific tree species dynamics—competition and release—that determined NECB response to bark beetle outbreaks. Our study area was the Lake Tahoe Basin (LTB), CA and NV, USA, an area of diverse forest types encompassing steep elevation and climatic gradients and representative of mixed-conifer forests throughout the western United States. We simulated climate change, bark beetles, wildfire, and fuels management using a landscape-scale stochastic model of disturbance and succession. We simulated the period 2010–2100 using downscaled climate projections. Recurring droughts generated conditions conducive to large-scale outbreaks; the resulting large and sustained outbreaks significantly increased the probability of LTB forests becoming C sources over decadal time scales, with slower-than-anticipated landscape-scale recovery. Tree species composition was substantially altered with a reduction in functional redundancy and productivity. Results indicate heightened uncertainty due to the synergistic influences of climate change and interacting disturbances. Our results further indicate that current fuel management practices will not be effective at reducing landscape-scale outbreak mortality. Our results provide critical insights into the interaction of drivers (bark beetles, wildfire, fuel management) that increase the risk of C loss and shifting community composition if bark beetle outbreaks become more frequent. Close

• 22. [Article] A Performance Assessment of Two Multi-component Water Quality Facilities in the Columbia Slough and Fairview Creek Watersheds

  We examined the treatment trains at the Columbia Slough (CSWQF) and Fairview Creek Water Quality Facilities (FCWQF) in Gresham, OR and assessed their effectiveness at removing pollutants including nutrients, ...

  Citation × Citation Citation Abstract Copy Title: A Performance Assessment of Two Multi-component Water Quality Facilities in the Columbia Slough and Fairview Creek Watersheds Author: Robinson, Christopher Year: 2012 We examined the treatment trains at the Columbia Slough (CSWQF) and Fairview Creek Water Quality Facilities (FCWQF) in Gresham, OR and assessed their effectiveness at removing pollutants including nutrients, TSS, metals, pesticides, PAHs, and VOCs. Time-paced, fixed volume composite samples were collected during storm events at the inlets and outlet of the CSWQF and at the inlets and outlet of each treatment train component of the FCWQF. In addition, long-term data collected at the FCWQF was analyzed. Composite data collected during November 2-3, 2011 and March 5-6, 2012 showed that the treatment trains can measurably reduce the event mean concentration (EMC) of most pollutants present in stormwater. Removal efficiencies ranged from a low of 11 to 34 percent for nutrients to a high of 58 to 70 percent for TSS. Long-term data from the FCWQF confirms the findings of the individual sampling events and demonstrates that the FCWQF treatment train significantly reduces the EMCs of NH3-N, TKN, BOD5, most of the heavy metals tested for, bacteria, TSS, and turbidity. When compared to data available from the International Stormwater BMP Database, effluent concentrations at the FCWQF were comparable to or lower than those in the BMP Database for nutrients including TKN, OP, and TP; metals including DCu, TCu, TNi, DPb, and TPb; and TSS. Effluent concentrations at the FCWQF were higher than those in the BMP Database for DZn, TZn, turbidity, and bacteria. When comparing the two facilities, the FCWQF generally reduced pollutant concentrations to a greater degree than did the CSWQF. Pollutant removal efficiency was potentially limited by rainfall intensity and seasonal factors, with removal efficiencies being higher for the spring event than the fall event. It is recommended that long-term monitoring be continued at both facilities until the pollutant removal efficiency of the entire CSWQF and the FCWQF treatment train components can be statistically quantified. Changes in sample collection methods and flow measurement are recommended that could improve the accuracy of pollutant concentration estimates considerably. Finally, it is recommended that further research be conducted to determine if significant relationships can be established between particle size and the following pollutants: heavy metals, total phosphorus, and PAHs. Defining these relationships may make it possible to estimate pollutant concentrations using the stormwater particle size distribution analysis. Title: A Performance Assessment of Two Multi-component Water Quality Facilities in the Columbia Slough and Fairview Creek Watersheds Author: Robinson, Christopher Year: 2012 We examined the treatment trains at the Columbia Slough (CSWQF) and Fairview Creek Water Quality Facilities (FCWQF) in Gresham, OR and assessed their effectiveness at removing pollutants including nutrients, TSS, metals, pesticides, PAHs, and VOCs. Time-paced, fixed volume composite samples were collected during storm events at the inlets and outlet of the CSWQF and at the inlets and outlet of each treatment train component of the FCWQF. In addition, long-term data collected at the FCWQF was analyzed. Composite data collected during November 2-3, 2011 and March 5-6, 2012 showed that the treatment trains can measurably reduce the event mean concentration (EMC) of most pollutants present in stormwater. Removal efficiencies ranged from a low of 11 to 34 percent for nutrients to a high of 58 to 70 percent for TSS. Long-term data from the FCWQF confirms the findings of the individual sampling events and demonstrates that the FCWQF treatment train significantly reduces the EMCs of NH3-N, TKN, BOD5, most of the heavy metals tested for, bacteria, TSS, and turbidity. When compared to data available from the International Stormwater BMP Database, effluent concentrations at the FCWQF were comparable to or lower than those in the BMP Database for nutrients including TKN, OP, and TP; metals including DCu, TCu, TNi, DPb, and TPb; and TSS. Effluent concentrations at the FCWQF were higher than those in the BMP Database for DZn, TZn, turbidity, and bacteria. When comparing the two facilities, the FCWQF generally reduced pollutant concentrations to a greater degree than did the CSWQF. Pollutant removal efficiency was potentially limited by rainfall intensity and seasonal factors, with removal efficiencies being higher for the spring event than the fall event. It is recommended that long-term monitoring be continued at both facilities until the pollutant removal efficiency of the entire CSWQF and the FCWQF treatment train components can be statistically quantified. Changes in sample collection methods and flow measurement are recommended that could improve the accuracy of pollutant concentration estimates considerably. Finally, it is recommended that further research be conducted to determine if significant relationships can be established between particle size and the following pollutants: heavy metals, total phosphorus, and PAHs. Defining these relationships may make it possible to estimate pollutant concentrations using the stormwater particle size distribution analysis. Close

• 23. [Article] Restoring Surface Fire Stabilizes Forest Carbon Under Extreme Fire Weather in the Sierra Nevada

  Climate change in the western United States has increased the frequency of extreme fire weather events and is projected to increase the area burned by wildfire in the coming decades. This changing fire regime, ...

  Citation × Citation Citation Abstract Copy Title: Restoring Surface Fire Stabilizes Forest Carbon Under Extreme Fire Weather in the Sierra Nevada Author: Krofcheck, Daniel J., Hurteau, Matthew D., Scheller, Robert M., Loudermilk, E. Louise Year: 2017 Climate change in the western United States has increased the frequency of extreme fire weather events and is projected to increase the area burned by wildfire in the coming decades. This changing fire regime, coupled with increased high-severity fire risk from a legacy of fire exclusion, could destabilize forest carbon (C), decrease net ecosystem exchange (NEE), and consequently reduce the ability of forests to regulate climate through C sequestration. While management options for minimizing the risk of high-severity fire exist, little is known about the longer-term carbon consequences of these actions in the context of continued extreme fire weather events. Our goal was to compare the impacts of extreme wildfire events on carbon stocks and fluxes in a watershed in the Sierra National Forest. We ran simulations to model wildfire under contemporary and extreme fire weather conditions, and test how three management scenarios (no-management, thin-only, thin and maintenance burning) influence fire severity, forest C stocks and fluxes, and wildfire C emissions. We found that the effects of treatment on wildfire under contemporary fire weather were minimal, and management conferred neither significant reduction in fire severity nor increases in C stocks. However, under extreme fire weather, the thin and maintenance burning scenario decreased mean fire severity by 25%, showed significantly greater C stability, and unlike the no-management and thin-only management options, the thin and maintenance burning scenario showed no decrease in NEE relative to the contemporary fire weather scenarios. Further, under extreme fire weather conditions, wildfire C emissions were lowest in the thin and maintenance burning scenario, (reduction of 13.7 Mg C/ha over the simulation period) even when taking into account the C costs associated with prescribed burning. Including prescribed burning in thinning operations may be critical to maintaining C stocks and reducing C emissions in the future where extreme fire weather events are more frequent. Title: Restoring Surface Fire Stabilizes Forest Carbon Under Extreme Fire Weather in the Sierra Nevada Author: Krofcheck, Daniel J., Hurteau, Matthew D., Scheller, Robert M., Loudermilk, E. Louise Year: 2017 Climate change in the western United States has increased the frequency of extreme fire weather events and is projected to increase the area burned by wildfire in the coming decades. This changing fire regime, coupled with increased high-severity fire risk from a legacy of fire exclusion, could destabilize forest carbon (C), decrease net ecosystem exchange (NEE), and consequently reduce the ability of forests to regulate climate through C sequestration. While management options for minimizing the risk of high-severity fire exist, little is known about the longer-term carbon consequences of these actions in the context of continued extreme fire weather events. Our goal was to compare the impacts of extreme wildfire events on carbon stocks and fluxes in a watershed in the Sierra National Forest. We ran simulations to model wildfire under contemporary and extreme fire weather conditions, and test how three management scenarios (no-management, thin-only, thin and maintenance burning) influence fire severity, forest C stocks and fluxes, and wildfire C emissions. We found that the effects of treatment on wildfire under contemporary fire weather were minimal, and management conferred neither significant reduction in fire severity nor increases in C stocks. However, under extreme fire weather, the thin and maintenance burning scenario decreased mean fire severity by 25%, showed significantly greater C stability, and unlike the no-management and thin-only management options, the thin and maintenance burning scenario showed no decrease in NEE relative to the contemporary fire weather scenarios. Further, under extreme fire weather conditions, wildfire C emissions were lowest in the thin and maintenance burning scenario, (reduction of 13.7 Mg C/ha over the simulation period) even when taking into account the C costs associated with prescribed burning. Including prescribed burning in thinning operations may be critical to maintaining C stocks and reducing C emissions in the future where extreme fire weather events are more frequent. Close