Views
1 year ago

DRAFT Inventory of U.S Greenhouse Gas Emissions and Sinks

2017_complete_report

1 2 3 4 5 6 7 8 9 10 11

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 As with N 2O from croplands, the Tier 3 process-based DAYCENT model and Tier 1 method described in IPCC (2006) are combined to estimate emissions from non-federal grasslands and PRP manure N additions for federal grasslands, respectively. Grassland includes pasture and rangeland that produce grass forage primarily for livestock grazing. Rangelands are typically extensive areas of native grassland that are not intensively managed, while pastures are typically seeded grassland (possibly following tree removal) that may also have additional management, such as irrigation, fertilization, or interseeding legumes. DAYCENT is used to simulate N 2O emissions from NRI survey locations (USDA-NRCS 2015) on non-federal grasslands resulting from manure deposited by livestock directly onto pastures and rangelands (i.e., PRP manure), N fixation from legume seeding, managed manure amendments (i.e., manure other than PRP manure such as Daily Spread), and synthetic fertilizer application. Other N inputs are simulated within the DAYCENT framework, including N input from mineralization due to decomposition of soil organic matter and N inputs from senesced grass litter, as well as asymbiotic fixation of N from the atmosphere. The simulations used the same weather, soil, and synthetic N fertilizer data as discussed under the Tier 3 Approach in the Mineral Cropland Soils section. Mineral N fertilization rates are based on Carbon Sequestration Rural Appraisals (CSRA) conducted by the USDA-NRCS (USDA-NRCS, unpublished data). The CSRA was a solicitation of expert knowledge from USDA-NRCS staff throughout the United States to support the national greenhouse gas inventory. Managed manure N amendments to grasslands are estimated from Edmonds et al. (2003) and adjusted for annual variation using data on the availability of managed manure N for application to soils, according to methods described in the Manure Management section (Section 5.2) and Annex 3.11. Biological N fixation is simulated within DAYCENT, and therefore is not an input to the model. Manure N deposition from grazing animals in PRP systems (i.e., PRP manure) is another key input of N to grasslands. The amounts of PRP manure N applied on non-federal grasslands for each NRI point are based on amount of N excreted by livestock in PRP systems. The total amount of N excreted in each county is divided by the grassland area to estimate the N input rate associated with PRP manure. The resulting input rates are used in the DAYCENT simulations. DAYCENT simulations of non-federal grasslands accounted for approximately 78 percent of total PRP manure N in aggregate across the country. The remainder of the PRP manure N in each state is assumed to be excreted on federal grasslands, and the N 2O emissions are estimated using the IPCC (2006) Tier 1 method with IPCC default emission factors. Sewage sludge is assumed to be applied on grasslands because of the heavy metal content and other pollutants in human waste that limit its use as an amendment to croplands. Sewage sludge application is estimated from data compiled by EPA (1993, 1999, 2003), McFarland (2001), and NEBRA (2007). Sewage sludge data on soil amendments to agricultural lands are only available at the national scale, and it is not possible to associate application with specific soil conditions and weather at the county scale. Therefore, DAYCENT could not be used to simulate the influence of sewage sludge amendments on N 2O emissions from grassland soils, and consequently, emissions from sewage sludge are estimated using the IPCC (2006) Tier 1 method. Grassland area data are obtained from the U.S. Department of Agriculture NRI (Nusser and Goebel 1997; USDA- NRCS 2015) and the U.S. Geological Survey (USGS) National Land Cover Dataset (Fry et al. 2011; Homer et al. 2007; Homer et al. 2015), which are reconciled with the Forest Inventory and Analysis Data. The area data for pastures and rangeland are aggregated to the county level to estimate non-federal and federal grassland areas. N 2O emissions for the PRP manure N deposited on federal grasslands and applied sewage sludge N are estimated using the Tier 1 method by multiplying the N input by the default emission factor. Emissions from manure N are estimated at the state level and aggregated to the entire country, but emissions from sewage sludge N are calculated exclusively at the national scale. As previously mentioned, each NRI point is simulated 100 times as part of the uncertainty assessment, yielding a total of over 18 million simulation runs for the analysis. Soil N 2O emission estimates from DAYCENT are adjusted using a structural uncertainty estimator accounting for uncertainty in model algorithms and parameter values (Del Grosso et al. 2010). Soil N 2O emissions and 95 percent confidence intervals are estimated for each year between 1990 and 2012, but emissions from 2013 to 2015 are assumed to be similar to 2012. The annual data are currently available through 2012 (USDA-NRCS 2015) and will be updated when additional data are released. 5-30 DRAFT Inventory of U.S. Greenhouse Gas Emissions and Sinks: 1990–2015

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 Total Direct N2O Emissions from Cropland and Grassland Soils Annual direct emissions from the Tier 1 and 3 approaches for mineral and drained organic soils occurring in both croplands and grasslands are summed to obtain the total direct N 2O emissions from agricultural soil management (see Table 5-15 and Table 5-16). Indirect N2O Emissions This section describes the methods used for estimating indirect soil N 2O emissions from croplands and grasslands. Indirect N 2O emissions occur when mineral N made available through anthropogenic activity is transported from the soil either in gaseous or aqueous forms and later converted into N 2O. There are two pathways leading to indirect emissions. The first pathway results from volatilization of N as NO x and NH 3 following application of synthetic fertilizer, organic amendments (e.g., manure, sewage sludge), and deposition of PRP manure. Nitrogen made available from mineralization of soil organic matter and residue, including N incorporated into crops and forage from symbiotic N fixation, and input of N from asymbiotic fixation also contributes to volatilized N emissions. Volatilized N can be returned to soils through atmospheric deposition, and a portion of the deposited N is emitted to the atmosphere as N 2O. The second pathway occurs via leaching and runoff of soil N (primarily in the form of NO 3- ) that is made available through anthropogenic activity on managed lands, mineralization of soil organic matter and residue, including N incorporated into crops and forage from symbiotic N fixation, and inputs of N into the soil from - asymbiotic fixation. The NO 3 is subject to denitrification in water bodies, which leads to N 2O emissions. Regardless of the eventual location of the indirect N 2O emissions, the emissions are assigned to the original source of the N for reporting purposes, which here includes croplands and grasslands. Indirect N2O Emissions from Atmospheric Deposition of Volatilized N The Tier 3 DAYCENT model and IPCC (2006) Tier 1 methods are combined to estimate the amount of N that is volatilized and eventually emitted as N 2O. DAYCENT is used to estimate N volatilization for land areas whose direct emissions are simulated with DAYCENT (i.e., most commodity and some specialty crops and most grasslands). The N inputs included are the same as described for direct N 2O emissions in the Tier 3 Approach for Mineral Cropland Soils and Direct N 2O Emissions from Grassland Soils sections. Nitrogen volatilization from all other areas is estimated using the Tier 1 method and default IPCC fractions for N subject to volatilization (i.e., N inputs on croplands not simulated by DAYCENT, PRP manure N excreted on federal grasslands, sewage sludge application on grasslands). For the volatilization data generated from both the DAYCENT and Tier 1 approaches, the IPCC (2006) default emission factor is used to estimate indirect N 2O emissions occurring due to re-deposition of the volatilized N (see Table 5-18). Indirect N2O Emissions from Leaching/Runoff As with the calculations of indirect emissions from volatilized N, the Tier 3 DAYCENT model and IPCC (2006) Tier 1 method are combined to estimate the amount of N that is subject to leaching and surface runoff into water bodies, and eventually emitted as N 2O. DAYCENT is used to simulate the amount of N transported from lands in the Tier 3 Approach. Nitrogen transport from all other areas is estimated using the Tier 1 method and the IPCC (2006) default factor for the proportion of N subject to leaching and runoff. This N transport estimate includes N applications on croplands that are not simulated by DAYCENT, sewage sludge amendments on grasslands, and PRP manure N excreted on federal grasslands. For both the DAYCENT Tier 3 and IPCC (2006) Tier 1 methods, nitrate leaching is assumed to be an insignificant source of indirect N 2O in cropland and grassland systems in arid regions, as discussed in IPCC (2006). In the United States, the threshold for significant nitrate leaching is based on the potential evapotranspiration (PET) and rainfall amount, similar to IPCC (2006), and is assumed to be negligible in regions where the amount of precipitation plus irrigation does not exceed 80 percent of PET. For leaching and runoff Agriculture 5-31

  • Page 1 and 2:

    1 2 3 4 5 6 7 8 9 10 11 12 13 14 EP

  • Page 3 and 4:

    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

  • Page 5 and 6:

    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

  • Page 7 and 8:

    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

  • Page 9 and 10:

    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

  • Page 11 and 12:

    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

  • Page 13 and 14:

    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

  • Page 15 and 16:

    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

  • Page 17 and 18:

    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

  • Page 19 and 20:

    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

  • Page 21 and 22:

    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

  • Page 23 and 24:

    1 2 3 4 5 6 7 8 9 10 11 12 Box 6-2:

  • Page 25 and 26:

    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

  • Page 27 and 28:

    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

  • Page 29 and 30:

    Residential 338.3 357.8 325.5 282.5

  • Page 31 and 32:

    e LULUCF C Stock Change is the net

  • Page 33 and 34:

    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

  • Page 35 and 36:

    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

  • Page 37 and 38:

    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

  • Page 39 and 40:

    1 2 3 4 5 6 irreversible accumulati

  • Page 41 and 42:

    Substitution of Ozone Depleting Sub

  • Page 43 and 44:

    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

  • Page 45 and 46:

    Forest Land Remaining Forest Land:

  • Page 47 and 48:

    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

  • Page 49 and 50:

    1 2 3 Figure ES-15: U.S. Greenhouse

  • Page 51 and 52:

    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

  • Page 53 and 54:

    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

  • Page 55 and 56:

    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

  • Page 57 and 58:

    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

  • Page 59 and 60:

    1 2 3 4 5 only days to weeks, their

  • Page 61 and 62:

    1 2 3 4 informational purposes, emi

  • Page 63 and 64:

    1 Figure 1-1: National Inventory Ar

  • Page 65 and 66:

    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

  • Page 67 and 68:

    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

  • Page 69 and 70:

    N2O Emissions from Adipic Acid Prod

  • Page 71 and 72:

    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

  • Page 73 and 74:

    a Emission estimates reported in th

  • Page 75 and 76:

    1 3.10. Methodology for Estimating

  • Page 77 and 78:

    1 2 Figure 2-2: Annual Percent Chan

  • Page 79 and 80:

    1 2 3 4 5 6 7 8 gas for electricity

  • Page 81 and 82:

    a Emissions from Wood Biomass and E

  • Page 83 and 84:

    Electrical Transmission and Distrib

  • Page 85 and 86:

    Wetlands (4.0) (5.3) (4.1) (4.2) (4

  • Page 87 and 88:

    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

  • Page 89 and 90:

    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

  • Page 91 and 92:

    CH4 0.3 0.1 0.1 0.1 0.1 0.2 0.2 Pet

  • Page 93 and 94:

    1 Table 2-7: Emissions from Agricul

  • Page 95 and 96:

    1 2 Table 2-8: U.S. Greenhouse Gas

  • Page 97 and 98:

    1 2 3 4 Overall, in 2015, waste act

  • Page 99 and 100:

    Cement Production 33.3 45.9 32.0 35

  • Page 101 and 102:

    Total 1,862.5 2,441.6 2,197.3 2,059

  • Page 103 and 104:

    Total Emissions 6,366.7 7,315.6 6,7

  • Page 105 and 106:

    N2O 1.0 1.2 1.1 1.0 1.1 1.1 1.1 Oth

  • Page 107 and 108:

    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

  • Page 109 and 110:

    1 2 3 4 5 6 7 8 atmospheric sink fo

  • Page 111 and 112:

    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

  • Page 113 and 114:

    International Bunker Fuels a 0.2 0.

  • Page 115 and 116:

    1 Table 3-4: CO2, CH4, and N2O Emis

  • Page 117 and 118:

    1 Figure 3-3: 2015 U.S. Energy Cons

  • Page 119 and 120:

    1 2 Figure 3-6: Annual Deviations f

  • Page 121 and 122:

    U.S. Territories a 28.0 50.1 41.7 4

  • Page 123 and 124:

    Fuel Oil 27.2 45.6 36.7 37.6 37.1 3

  • Page 125 and 126:

    1 Figure 3-9: Electricity Generatio

  • Page 127 and 128:

    1 Figure 3-11: Industrial Productio

  • Page 129 and 130:

    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

  • Page 131 and 132:

    1 Figure 3-13: Sales of New Passeng

  • Page 133 and 134:

    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

  • Page 135 and 136:

    Medium- and Heavy-Duty 0.5 0.9 0.7

  • Page 137 and 138:

    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

  • Page 139 and 140:

    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

  • Page 141 and 142:

    1 2 Figure 3-15: U.S. Energy Consum

  • Page 143 and 144:

    Coal b 1,653.7 1,596.3 1,809.1 -3%

  • Page 145 and 146:

    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

  • Page 147 and 148:

    1 2 Table 3-17: Approach 2 Quantita

  • Page 149 and 150:

    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

  • Page 151 and 152:

    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

  • Page 153 and 154:

    1 Table 3-20: Adjusted Consumption

  • Page 155 and 156:

    1 2 3 4 percent above the 2014 emis

  • Page 157 and 158:

    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

  • Page 159 and 160:

    Gas/Waste Product 1990 2005 2011 20

  • Page 161 and 162:

    1 2 3 4 5 6 7 8 9 10 11 12 13 waste

  • Page 163 and 164:

    1 2 3 4 5 due to the higher CH 4 co

  • Page 165 and 166:

    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

  • Page 167 and 168:

    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

  • Page 169 and 170:

    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

  • Page 171 and 172:

    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

  • Page 173 and 174:

    Activity 1990 2005 2011 2012 2013 2

  • Page 175 and 176:

    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

  • Page 177 and 178:

    1 2 3 4 5 6 7 8 approach over the t

  • Page 179 and 180:

    Previous Estimated Emissions from S

  • Page 181 and 182:

    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

  • Page 183 and 184:

    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

  • Page 185 and 186:

    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

  • Page 187 and 188:

    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

  • Page 189 and 190:

    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

  • Page 191 and 192:

    Emissions (w/o Plunger) (MT) 372,28

  • Page 193 and 194:

    Reciprocating Compressors 64,413 64

  • Page 195 and 196:

    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

  • Page 197 and 198:

    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

  • Page 199 and 200:

    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

  • Page 201 and 202:

    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

  • Page 203 and 204:

    1 Table 3-72: Woody Biomass Consump

  • Page 205 and 206:

    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

  • Page 207 and 208:

    CO2 206.8 189.9 172.9 169.6 171.5 1

  • Page 209 and 210:

    SF6 1 1 + + + + + Electrical Transm

  • Page 211 and 212:

    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

  • Page 213 and 214:

    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

  • Page 215 and 216:

    2012 13.8 13,785 2013 14.0 14,028 2

  • Page 217 and 218:

    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

  • Page 219 and 220:

    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

  • Page 221 and 222:

    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

  • Page 223 and 224:

    1 2 3 MMT CO 2 Eq. (10,828 kt) (see

  • Page 225 and 226:

    1 2 3 4 5 6 7 8 9 10 11 12 consumed

  • Page 227 and 228:

    1 Table 4-19: CO2 Emissions from Am

  • Page 229 and 230:

    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

  • Page 231 and 232:

    1 Table 4-24: Urea Production, Urea

  • Page 233 and 234:

    2012 10.5 35 2013 10.7 36 2014 10.9

  • Page 235 and 236:

    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

  • Page 237 and 238:

    2015 4.3 14 1 2 3 4 5 6 7 8 9 10 11

  • Page 239 and 240:

    1 2 Table 4-31: Approach 2 Quantita

  • Page 241 and 242:

    1 2 3 4 5 6 7 8 9 Production data f

  • Page 243 and 244:

    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

  • Page 245 and 246:

    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

  • Page 247 and 248:

    1 2 3 4 5 6 7 8 9 The activity data

  • Page 249 and 250:

    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

  • Page 251 and 252:

    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

  • Page 253 and 254:

    1 2 3 4 5 6 7 8 9 The results of th

  • Page 255 and 256:

    2013 4.1 0.3 2014 5.0 0.3 1 2 3 4 5

  • Page 257 and 258:

    1 2 3 4 5 6 7 8 discussion of CO 2

  • Page 259 and 260:

    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

  • Page 261 and 262:

    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

  • Page 263 and 264:

    1 2 Table 4-56: Approach 2 Quantita

  • Page 265 and 266:

    1 3 4 5 6 7 8 9 10 11 12 13 14 15 1

  • Page 267 and 268:

    1 2 3 4 5 6 7 8 9 10 11 12 13 (i.e.

  • Page 269 and 270:

    1 Table 4-67: Material Carbon Conte

  • Page 271 and 272:

    1 2 Table 4-70: Production and Cons

  • Page 273 and 274:

    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

  • Page 275 and 276:

    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

  • Page 277 and 278:

    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

  • Page 279 and 280:

    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

  • Page 281 and 282:

    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

  • Page 283 and 284:

    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

  • Page 285 and 286:

    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

  • Page 287 and 288:

    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

  • Page 289 and 290:

    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

  • Page 291 and 292:

    1 Table 4-89: CO2 Emissions from Zi

  • Page 293 and 294:

    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

  • Page 295 and 296:

    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

  • Page 297 and 298:

    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

  • Page 299 and 300:

    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

  • Page 301 and 302:

    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

  • Page 303 and 304: 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15
  • Page 305 and 306: 1 2 3 4 5 6 7 8 9 10 11 4.23 Substi
  • Page 307 and 308: 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15
  • Page 309 and 310: 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15
  • Page 311 and 312: 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15
  • Page 313 and 314: 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15
  • Page 315 and 316: 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15
  • Page 317 and 318: 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15
  • Page 319 and 320: 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15
  • Page 321 and 322: 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15
  • Page 323 and 324: Graphic Arts + 0 0 0 0 0 0 Non-Indu
  • Page 325 and 326: 1 2 3 4 5 6 7 8 9 5. Agriculture Ag
  • Page 327 and 328: 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15
  • Page 329 and 330: 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15
  • Page 331 and 332: Note that the relative uncertainty
  • Page 333 and 334: 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15
  • Page 335 and 336: 2 3 4 5 6 7 8 9 10 11 12 13 14 15 1
  • Page 337 and 338: 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15
  • Page 339 and 340: 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15
  • Page 341 and 342: + Does not exceed 0.05 MMT CO2 Eq.
  • Page 343 and 344: 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15
  • Page 345 and 346: 1 2 3 4 5 6 7 8 9 subsequently conv
  • Page 347 and 348: 1 2 3 4 5 6 7 8 9 Agricultural soil
  • Page 349 and 350: 1 2 3 4 5 6 7 8 9 low in many parts
  • Page 351 and 352: 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15
  • Page 353: 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15
  • Page 357 and 358: 1 2 3 4 5 6 7 8 9 10 methodology te
  • Page 359 and 360: 1 Table 5-21: Emissions from Liming
  • Page 361 and 362: 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15
  • Page 363 and 364: 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15
  • Page 365 and 366: 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15
  • Page 367 and 368: 1 2 Table 5-32: Key Assumptions for
  • Page 369 and 370: 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15
  • Page 371 and 372: 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15
  • Page 373 and 374: Land Converted to Forest Land (92.0
  • Page 375 and 376: 1 2 3 4 5 6 7 8 9 10 11 12 from LUL
  • Page 377 and 378: 1 2 Table 6-7: Land Use and Land-Us
  • Page 379 and 380: 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15
  • Page 381 and 382: 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15
  • Page 383 and 384: 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15
  • Page 385 and 386: 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15
  • Page 387 and 388: 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15
  • Page 389 and 390: 1 2 Harvested wood products (HWP)
  • Page 391 and 392: 1 2 Figure 6-2: Changes in Forest A
  • Page 393 and 394: Note: Forest C stocks do not includ
  • Page 395 and 396: 1 2 3 4 in Table 6-13 include all m
  • Page 397 and 398: 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15
  • Page 399 and 400: 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15
  • Page 401 and 402: 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15
  • Page 403 and 404: 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15
  • Page 405 and 406:

    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

  • Page 407 and 408:

    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

  • Page 409 and 410:

    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

  • Page 411 and 412:

    1 2 3 Total Aboveground Biomass Flu

  • Page 413 and 414:

    1 2 3 4 5 6 7 8 9 10 11 12 13 14 Ap

  • Page 415 and 416:

    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

  • Page 417 and 418:

    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

  • Page 419 and 420:

    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

  • Page 421 and 422:

    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

  • Page 423 and 424:

    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

  • Page 425 and 426:

    1 2 3 4 5 6 C) from drainage and cu

  • Page 427 and 428:

    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

  • Page 429 and 430:

    Belowground Live Biomass 2.3 2.0 2.

  • Page 431 and 432:

    1 2 Table 6-34: Net CO2 Flux from S

  • Page 433 and 434:

    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

  • Page 435 and 436:

    1 2 3 4 5 above the 2015 stock chan

  • Page 437 and 438:

    CH4 0.1 0.3 0.8 0.6 0.2 0.4 0.4 N2O

  • Page 439 and 440:

    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

  • Page 441 and 442:

    Other Lands Converted Grassland Min

  • Page 443 and 444:

    1 2 3 4 5 6 7 8 9 10 11 12 13 14 Fo

  • Page 445 and 446:

    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

  • Page 447 and 448:

    On-site 70 71 60 53 50 50 49 N2O (O

  • Page 449 and 450:

    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

  • Page 451 and 452:

    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

  • Page 453 and 454:

    1 2 Table 6-51: Net CH4 Flux from V

  • Page 455 and 456:

    1 2 3 Table 6-54: Approach 1 Quanti

  • Page 457 and 458:

    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

  • Page 459 and 460:

    1 2 3 4 result in cessation of emis

  • Page 461 and 462:

    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

  • Page 463 and 464:

    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

  • Page 465 and 466:

    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

  • Page 467 and 468:

    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

  • Page 469 and 470:

    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

  • Page 471 and 472:

    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

  • Page 473 and 474:

    New Mexico 70,608 52,250 12.0 0.263

  • Page 475 and 476:

    1 2 3 4 5 6 7 8 9 10 11 12 13 14 an

  • Page 477 and 478:

    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

  • Page 479 and 480:

    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

  • Page 481 and 482:

    C Storage Factor, Proportion of Ini

  • Page 483 and 484:

    1 2 3 4 5 6 7 8 9 10 11 12 13 there

  • Page 485 and 486:

    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

  • Page 487 and 488:

    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

  • Page 489 and 490:

    1 Table 7-2: Emissions from Waste (

  • Page 491 and 492:

    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

  • Page 493 and 494:

    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

  • Page 495 and 496:

    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

  • Page 497 and 498:

    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

  • Page 499 and 500:

    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

  • Page 501 and 502:

    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

  • Page 503 and 504:

    1 2 3 4 5 6 7 8 9 10 Table 7-6 pres

  • Page 505 and 506:

    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

  • Page 507 and 508:

    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

  • Page 509 and 510:

    2013 321 10,536 2014 323 10,613 201

  • Page 511 and 512:

    1 2 3 4 5 6 7 8 9 %Plants a %Plants

  • Page 513 and 514:

    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

  • Page 515 and 516:

    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

  • Page 517 and 518:

    1 2 Table 7-16: Approach 2 Quantita

  • Page 519 and 520:

    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

  • Page 521 and 522:

    1 2 3 4 5 6 7 8 9 10 EF i = emissio

  • Page 523 and 524:

    a Miscellaneous includes TSDFs (Tre

  • Page 525 and 526:

    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

  • Page 527 and 528:

    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

  • Page 529 and 530:

    Enteric Fermentation NC NC + NC + (

  • Page 531 and 532:

    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

  • Page 533 and 534:

    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

  • Page 535 and 536:

    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

  • Page 537 and 538:

    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

  • Page 539 and 540:

    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

  • Page 541 and 542:

    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

  • Page 543 and 544:

    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

  • Page 545 and 546:

    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

  • Page 547 and 548:

    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

  • Page 549 and 550:

    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

  • Page 551 and 552:

    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

  • Page 553 and 554:

    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

  • Page 555 and 556:

    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

  • Page 557 and 558:

    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

  • Page 559 and 560:

    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

  • Page 561 and 562:

    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

  • Page 563 and 564:

    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

  • Page 565 and 566:

    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

  • Page 567 and 568:

    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

  • Page 569 and 570:

    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

  • Page 571 and 572:

    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

  • Page 573 and 574:

    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

  • Page 575 and 576:

    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

  • Page 577 and 578:

    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

  • Page 579 and 580:

    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

  • Page 581 and 582:

    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

  • Page 583 and 584:

    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

  • Page 585 and 586:

    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

  • Page 587 and 588:

    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

  • Page 589 and 590:

    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

  • Page 591 and 592:

    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

  • Page 593 and 594:

    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

  • Page 595 and 596:

    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

  • Page 597 and 598:

    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

  • Page 599 and 600:

    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

  • Page 601 and 602:

    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

  • Page 603 and 604:

    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

  • Page 605 and 606:

    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15