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Forest Carbon Assessment for the Green Mountain National Forest 1.0

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Forest Carbon Assessment for the Green Mountain National Forest 1.0 Forest Carbon Assessment for the Green Mountain National Forest Alexa Dugan ([email protected]), Maria Janowiak ([email protected]) and Duncan McKinley ([email protected]) August 16, 2018 1.0 Introduction Carbon uptake and storage are some of the many ecosystem services provided by forests and grasslands. Through the process of photosynthesis, growing plants remove carbon dioxide (CO2) from the atmosphere and store it in forest biomass (plant stems, branches, foliage, roots), and much of this organic material is eventually stored in forest soils. This absorption of carbon from the atmosphere (sequestration) helps modulate greenhouse gas (GHG) concentrations in the atmosphere. Estimates of net annual storage of carbon indicate that forests in the United States (U.S.) constitute an important carbon sink, removing more carbon from the atmosphere than they are emitting (Pan et al. 2011). Forests in the United States remove the equivalent of about 12-19 percent of annual fossil fuel emissions in the U.S. (EPA 2015, Janowiak et al. 2017). Forests are dynamic systems that naturally undergo fluctuations in carbon storage and emissions as forests establish and grow, die with age or disturbances, and re-establish and regrow. Forests release carbon dioxide into the atmosphere when they die, either through natural aging and competition processes or disturbance events (e.g., combustion from fires), and this process transfers carbon from living carbon pools to dead pools. These dead pools also release carbon dioxide through decomposition or combustion (fires). Management activities include timber harvests, thinning, and fuel reductions treatments that remove carbon from the forest ecosystem and transfer it to the wood products sector. Carbon can then be stored in commodities for a variable duration ranging from days to years, or, in the case of some structural timber, from many decades to centuries. Forests then re-establish and regrow, resulting in the uptake and storage of carbon from the atmosphere. Over the long term, through one or more cycles of disturbance and regrowth (if the forest regenerates after the disturbance), net carbon flux (the balance from accumulation and loss) is often zero. This happens when net carbon flux reaches zero—when re-growth of trees accumulates the same amount of carbon as was emitted as a result of disturbance or mortality (McKinley et al. 2011). Although disturbances, forest aging, and management are often the primary drivers of forest carbon dynamics in some ecosystems, environmental factors such as atmospheric CO2 concentrations, climatic variability, and the availability of limiting forest nutrients like nitrogen (N) also influence forest growth (Caspersen et al. 2000, Pan et al. 2009). In this section, an assessment is described for baseline forest carbon stocks and the role of disturbances, management, and environmental factors in storing carbon in Green Mountain National Forest in Vermont. This assessment uses two recent U.S. Forest Service reports: the Baseline Report (USDA Forest Service 2015) and the Disturbance Report (USDA Forest Service in review). Both reports relied on Forest Inventory and Analysis (FIA) and several validated, Forest Carbon Assessment for the Green Mountain National Forest Page 1 August 16, 2018 data-driven modeling tools to provide nationally consistent BOX 1. FOREST CARBON MODELS evaluations of forest carbon trends across the National Forest System. The Baseline Report Carbon Calculation Tool (CCT) applies the Carbon Calculation Tool (CCT) (Smith et al. 2010). Estimates carbon stocks by summarizing data from two CCT summarizes available FIA or more Forest Inventory and Analysis (FIA) survey years. data across multiple survey years Carbon stocks from 1990 to 2013 are estimated by linear to estimate forest carbon stocks interpolation between survey years and linear and flux (change in stocks) at the extrapolation since the most recent survey. CCT relies on scale of the national forest from allometric models to convert tree measurements to 1990 to 2013. The Baseline biomass and carbon. Report also provides information Forest Carbon Management Framework (ForCaMF) on carbon storage in harvested wood products (HWP) for each Integrates FIA data, Landsat-derived maps of disturbance Forest Service region. type and severity, and an empirical forest dynamics model (the Forest Vegetation Simulator) to assess the The Disturbance Report provides relative impacts of disturbances (harvests, insects, fire, a national forest-scale evaluation abiotic, disease). ForCaMF estimates how much more of the influences of disturbances non-soil carbon would be on each national forest if and management activities using disturbances from 1990 to 2011 had not occurred. the Forest Carbon Management Framework (ForCaMF) model Integrated Terrestrial Ecosystem Carbon (InTEC) model (Healey et al. 2014, Healey et al. A process-based model that estimates relative effects of 2016, Raymond et al. 2015). This aging, disturbance, and non-disturbance factors including report also contains estimates of climate, CO2 fertilization, and nitrogen deposition on the long-term relative effects of carbon stocks. InTEC integrates FIA data, Landsat-derived disturbance and non-disturbance disturbance maps, additional datasets such as climate factors on carbon stock change records, and CO2 measurement to report carbon and accumulation, using the accumulation and stock changes from 1950 to 2011. Integrated Terrestrial Ecosystem Estimates of carbon stock change reported by InTEC are Carbon (InTEC) model (Chen et likely to differ from those reported by CCT because of al. 2000, Zhang et al. 2012). different data inputs and modeling processes. The key findings from these reports are summarized here. See Box 1 for descriptions of the carbon models used for these analyses. To infer future forest carbon dynamics, information from additional reports, including the Resource Planning Act (RPA) assessments and regional vulnerability assessments, provide information on potential future conditions. Collectively, these reports incorporate advances in data and analytical methods, representing the best available science to provide comprehensive assessments of National Forest System carbon trends. Forest Carbon Assessment for the Green Mountain National Forest Page 2 August 16, 2018 Green Mountain National Forest (NF) has been administratively combined with nearby Finger Lakes NF in New York as a single unit. The combined administrative unit was also maintained for forest carbon modeling in both the Baseline and Disturbance Reports. Green Mountain NF accounts for nearly all of the total forested area (98 percent) and disturbances (99 percent) in the combined unit. Thus, merging data from Finger Lakes NF and Green Mountain NF has a minimal effect on carbon trends and interpretation. Finger Lakes NF is included in results presented here unless otherwise noted. 1.1 Background Green Mountain NF, in southwestern and central Vermont, consists of 451,259 acres of forestland, mostly of the Maple/Beech/Birch forest type (per recent FIA estimates)1. The carbon legacy of Green Mountain NF and other national forests in the region is tied to the history of Euro-American settlement, land management, and disturbances. As the first region to be widely settled in the United States, the forests of the Eastern Region (R9) have had a long history of intensive harvesting and conversion of forests to agriculture. For much of the 19th century, the U.S. timber industry was centered in the Northeast. By early 1900, some 300 years after Euro- Americans first settled the region, most of the forests had been heavily utilized for timber or cleared for agriculture. As the need for sustainable forest management became evident, the U.S. government began purchasing large areas of these overharvested and often submarginal lands in the eastern United States the early and mid-19th century to be established as national forests. Green Mountain NF was established in 1932. With the help of the Civilian Conservation Corps, millions of trees were planted across the region in an effort to restore forest vegetation and control erosion. This legacy of timber harvesting and early efforts to restore the forest is visible today, influencing forest age structures and carbon dynamics. 2.0 Baseline Carbon Stocks and Flux 2.1 Forest Carbon Stocks and Stock Change According to results of the Baseline Report (Section 9.0), total ecosystem carbon stocks in Green Mountain NF increased from an estimated 26.5±4.4 Tg C in 1990 to 39.1±8.3 Tg C in 2013 (Fig. 1), a 48 percent increase in total carbon stocks over this period.2 Carbon stocks were fairly stable between 1990 and 1996 but increased steadily from 1997 to 2005. Carbon stocks continued to increase, but more slowly, from 2006 to 2013. Despite the uncertainty in these estimates 1 This estimate does not contain forested area in the Finger Lakes NF. Area estimate obtained using EVALIDator (https://apps.fs.usda.gov/Evalidator/evalidator.jsp) which queries the Forest Inventory & Analysis database. 2 This report uses carbon mass, not CO2 mass, because carbon is a standard unit and can easily be converted to any other unit. To convert carbon mass to CO2 mass, multiply by 3.67 to account for the mass of the O2. 1000 teragrams (Tg) =1 petagram (Pg) 1000 teragrams = 1 billion metric tonnes 1000 teragrams = 1 gigatonne 1 teragram = 1 million metric tonnes 1 teragram = 1 megatonne 1 megagram (Mg) = 1 metric tonne 1 metric tonne = 0.98 U.S. long ton 1 metric tonne per hectare = 0.4 U.S. long tons per acre carbon (C) mass * 3.67 = carbon dioxide (CO2) mass Forest Carbon Assessment for the Green Mountain National Forest Page 3 August 16, 2018 reflected by the 95 percent 80 confidence intervals, there is a high degree of certainty that 60 carbon stocks in Green Mountain NF have increased 40 from 1990 to 2013 (Fig. 1). The annual carbon stock 20 Carbon Stocks (Tg) Stocks Carbon change can be used to evaluate whether a forest is a carbon 0 sink or a source in a given year.
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