Determining the Value of Soil Inorganic Carbon Stocks in the Contiguous United States Based on the Avoided Social Cost of Carbon Emissions
Abstract
:1. Introduction
2. Materials and Methods
2.1. The Accounting Framework
2.2. Monetary Valuation Approach
3. Results
3.1. Value of SIC by Soil Order
3.2. Value of SIC by Soil Depth in the Contiguous U.S.
3.3. Value of SIC by Land Resource Regions (LRRs) in the Contiguous U.S.
3.4. Value of SIC by States and Regions in the Contiguous U.S.
4. Discussion
4.1. Implications for Ecosystem Services and Sustainable Development Goals (SDGs)
- 12. Ensure sustainable consumption and production patterns:
- 13. Take urgent action to combat climate change and its impacts:
- 15. Protect, restore, and promote sustainable use of terrestrial ecosystems:
4.2. Economic Implications
5. Conclusions
Author Contributions
Funding
Acknowledgments
Conflicts of Interest
References
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TEEB Ecosystem Service Categories | TEEB Typology | Sustainable Development Goals (SDGs) |
---|---|---|
Regulating | Climate regulation | SDG 12, 13, 15 |
Carbon sequestration | SDG 12, 13, 15 |
Biophysical Accounts (Science-Based) | Administrative Accounts (Boundary-Based) | Monetary Account(s) | Benefit(s) | Total Value |
---|---|---|---|---|
Soil extent: | Administrative extent: | Ecosystem good(s) and service(s): | Sector: | Types of value: |
Environment: | Social cost of carbon (SC-CO2) and avoided emissions: | |||
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|
|
|
-------------- Total Value -------------- | ---- Value per Area ---- | ||||||
---|---|---|---|---|---|---|---|
Soil Order | Total Area (km2) | Min. ($) | Mid. ($) | Max. ($) | Min. ($ m−2) | Mid. ($ m−2) | Max. ($ m−2) |
Slight weathering | |||||||
Entisols | 1,054,015 | 3.07 × 1011 | 7.87 × 1011 | 1.37 × 1012 | 0.29 | 0.74 | 1.29 |
Inceptisols | 787,254 | 3.01 × 1011 | 6.17 × 1011 | 1.02 × 1012 | 0.39 | 0.79 | 1.29 |
Histosols | 107,249 | 9.70 × 109 | 4.00 × 1010 | 8.22 × 1010 | 0.09 | 0.37 | 0.77 |
Gelisols | - | - | - | - | - | - | - |
Andisols | 68,666 | 1.54 × 108 | 3.08 × 108 | 4.62 × 108 | 0.00 | 0.00 | 0.00 |
Intermediate weathering | |||||||
Aridisols | 809,423 | 8.67 × 1011 | 1.99 × 1012 | 3.41 × 1012 | 1.08 | 2.45 | 4.20 |
Vertisols | 132,433 | 2.09 × 1011 | 4.74 × 1011 | 7.81 × 1011 | 1.59 | 3.57 | 5.90 |
Alfisols | 1,274,102 | 2.54 × 1011 | 8.41 × 1011 | 1.59 × 1012 | 0.20 | 0.66 | 1.25 |
Mollisols | 2,020,694 | 1.53 × 1012 | 3.57 × 1012 | 6.14 × 1012 | 0.75 | 1.77 | 3.03 |
Strong weathering | |||||||
Spodosols | 250,133 | 7.70 × 109 | 2.29 × 1010 | 4.34 × 1010 | 0.03 | 0.09 | 0.17 |
Ultisols | 860,170 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 |
Oxisols | - | - | - | - | - | - | - |
Totals | 7,364,139 | 3.48 × 1012 | 8.34 × 1012 | 1.44 × 1013 |
Depth (cm) | -------------- Total Value -------------- | -------- Value per Area -------- | ||||
---|---|---|---|---|---|---|
Min. ($) | Mid. ($) | Max. ($) | Min. ($ m−2) | Mid. ($ m−2) | Max. ($ m−2) | |
0–20 | 2.77 × 1011 | 6.31 × 1011 | 1.09 × 1012 | 0.04 | 0.09 | 0.15 |
20–100 | 1.57 × 1012 | 3.70 × 1012 | 6.38 × 1012 | 0.21 | 0.50 | 0.86 |
100–200 | 1.63 × 1012 | 4.00 × 1012 | 6.98 × 1012 | 0.22 | 0.54 | 0.95 |
Totals | 3.48 × 1012 | 8.33 × 1012 | 1.44 × 1013 |
LRRs | Area (km2) | ---------------- Total Value --------------- | ------- Value per Area ------ | ||||
---|---|---|---|---|---|---|---|
Min. ($) | Mid. ($) | Max. ($) | Min. ($ m−2) | Mid. ($ m−2) | Max. ($ m−2) | ||
A | 181,215 | 1.08 × 107 | 2.56 × 108 | 7.18 × 108 | 0.00 | 0.00 | 0.00 |
B | 259,284 | 1.46 × 1011 | 3.15 × 1011 | 5.34 × 1011 | 0.57 | 1.22 | 2.06 |
C | 146,884 | 3.31 × 109 | 9.22 × 109 | 1.59 × 1010 | 0.02 | 0.06 | 0.11 |
D | 1,268,922 | 7.85 × 1011 | 1.77 × 1012 | 3.02 × 1012 | 0.62 | 1.40 | 2.39 |
E | 521,994 | 1.37 × 1011 | 2.98 × 1011 | 5.23 × 1011 | 0.26 | 0.57 | 1.00 |
F | 351,842 | 2.67 × 1011 | 6.45 × 1011 | 1.12 × 1012 | 0.75 | 1.83 | 3.20 |
G | 521,442 | 2.37 × 1011 | 5.68 × 1011 | 9.62 × 1011 | 0.45 | 1.09 | 1.85 |
H | 583,820 | 6.83 × 1011 | 1.49 × 1012 | 2.48 × 1012 | 1.17 | 2.56 | 4.24 |
I | 169,689 | 3.88 × 1011 | 9.09 × 1011 | 1.58 × 1012 | 2.29 | 5.36 | 9.33 |
J | 139,624 | 3.27 × 1011 | 6.36 × 1011 | 1.01 × 1012 | 2.34 | 4.56 | 7.25 |
K | 300,269 | 9.03 × 1010 | 3.05 × 1011 | 5.92 × 1011 | 0.31 | 1.02 | 1.97 |
L | 119,997 | 8.98 × 1010 | 2.16 × 1011 | 3.83 × 1011 | 0.75 | 1.80 | 3.19 |
M | 717,615 | 2.86 × 1011 | 1.02 × 1012 | 1.91 × 1012 | 0.40 | 1.42 | 2.66 |
N | 603,434 | 1.20 × 109 | 8.26 × 109 | 1.82 × 1010 | 0.00 | 0.02 | 0.03 |
O | 94,652 | 5.26 × 109 | 3.06 × 1010 | 6.20 × 1010 | 0.06 | 0.32 | 0.66 |
P | 677,160 | 2.32 × 109 | 7.49 × 109 | 1.37 × 1010 | 0.00 | 0.02 | 0.02 |
R | 300,536 | 1.42 × 109 | 1.18 × 1010 | 2.76 × 1010 | 0.00 | 0.05 | 0.09 |
S | 99,147 | 0.00 | 1.00 × 108 | 3.28 × 108 | 0.00 | 0.00 | 0.00 |
T | 231,303 | 2.57 × 1010 | 8.41 × 1010 | 1.55 × 1011 | 0.11 | 0.37 | 0.68 |
U | 85,410 | 7.42 × 109 | 1.30 × 1010 | 1.99 × 1010 | 0.09 | 0.15 | 0.23 |
Totals | 7,374,239 | 3.48 × 1012 | 8.34 × 1012 | 1.44 × 1013 |
State (Region) | Area (km2) | ---------------------- Total Value ------------------- | ----------- Value per Area ---------- | ||||
---|---|---|---|---|---|---|---|
Min. ($) | Mid. ($) | Max. ($) | Min. ($ m−2) | Mid. ($ m−2) | Max. ($ m−2) | ||
Connecticut | 12,406 | 2.16 × 107 | 1.29 × 108 | 3.08 × 108 | 0.00 | 0.02 | 0.03 |
Delaware | 5043 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 |
Massachusetts | 18,918 | 1.54 × 106 | 8.16 × 107 | 2.00 × 108 | 0.00 | 0.00 | 0.02 |
Maryland | 25,266 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 |
Maine | 80,584 | 3.08 × 107 | 1.19 × 108 | 2.40 × 108 | 0.00 | 0.00 | 0.00 |
New Hampshire | 22,801 | 0.00 | 1.23 × 107 | 2.93 × 107 | 0.00 | 0.00 | 0.00 |
New Jersey | 17,788 | 1.54 × 106 | 7.24 × 107 | 1.72 × 108 | 0.00 | 0.00 | 0.02 |
New York | 118,432 | 3.57 × 109 | 2.33 × 1010 | 5.36 × 1010 | 0.03 | 0.20 | 0.45 |
Pennsylvania | 115,291 | 0.00 | 4.94 × 108 | 1.37 × 109 | 0.00 | 0.00 | 0.02 |
Rhode Island | 2583 | 0.00 | 3.08 × 106 | 7.70 × 106 | 0.00 | 0.00 | 0.00 |
Vermont | 23,764 | 4.05 × 108 | 2.02 × 109 | 4.54 × 109 | 0.02 | 0.09 | 0.18 |
West Virginia | 61,448 | 8.16 × 107 | 3.90 × 108 | 7.27 × 108 | 0.00 | 0.00 | 0.02 |
(East) | 504,325 | 4.12 × 109 | 2.67 × 1010 | 6.13 × 1010 | 0.02 | 0.05 | 0.12 |
Iowa | 143,801 | 6.18 × 1010 | 2.58 × 1011 | 4.84 × 1011 | 0.43 | 1.80 | 3.37 |
Illinois | 143,948 | 2.29 × 1010 | 1.66 × 1011 | 3.43 × 1011 | 0.15 | 1.16 | 2.39 |
Indiana | 93,584 | 5.42 × 1010 | 1.70 × 1011 | 3.16 × 1011 | 0.59 | 1.82 | 3.39 |
Michigan | 147,532 | 1.15 × 1011 | 2.77 × 1011 | 4.91 × 1011 | 0.77 | 1.88 | 3.33 |
Minnesota | 209,223 | 1.70 × 1011 | 4.55 × 1011 | 8.06 × 1011 | 0.82 | 2.17 | 3.85 |
Missouri | 177,484 | 4.08 × 109 | 3.30 × 1010 | 6.65 × 1010 | 0.02 | 0.18 | 0.37 |
Ohio | 105,442 | 3.27 × 1010 | 1.02 × 1011 | 1.92 × 1011 | 0.31 | 0.97 | 1.82 |
Wisconsin | 140,542 | 1.75 × 1010 | 8.49 × 1010 | 1.80 × 1011 | 0.12 | 0.60 | 1.28 |
(Midwest) | 1,161,556 | 4.78 × 1011 | 1.55 × 1012 | 2.88 × 1012 | 0.42 | 1.32 | 2.48 |
Arkansas | 135,832 | 8.72 × 108 | 7.17 × 109 | 1.50 × 1010 | 0.00 | 0.05 | 0.11 |
Louisiana | 109,273 | 6.29 × 109 | 2.70 × 1010 | 5.34 × 1010 | 0.06 | 0.25 | 0.49 |
Oklahoma | 176,647 | 6.33 × 1010 | 1.43 × 1011 | 2.40 × 1011 | 0.35 | 0.82 | 1.36 |
Texas | 660,649 | 1.34 × 1012 | 2.96 × 1012 | 4.99 × 1012 | 2.02 | 4.47 | 7.56 |
(South Central) | 1,082,402 | 1.41 × 1012 | 3.13 × 1012 | 5.30 × 1012 | 1.29 | 2.90 | 4.90 |
Alabama | 130,948 | 3.06 × 108 | 5.39 × 108 | 8.09 × 108 | 0.00 | 0.00 | 0.00 |
Florida | 136,490 | 7.42 × 109 | 1.32 × 1010 | 2.03 × 1010 | 0.06 | 0.09 | 0.15 |
Georgia | 149,285 | 5.84 × 108 | 1.72 × 109 | 3.08 × 109 | 0.00 | 0.02 | 0.02 |
Kentucky | 101,847 | 5.25 × 108 | 2.26 × 109 | 4.20 × 109 | 0.00 | 0.02 | 0.05 |
Mississippi | 122,583 | 0.00 | 5.25 × 109 | 1.19 × 1010 | 0.00 | 0.05 | 0.09 |
North Carolina | 125,522 | 0.00 | 1.03 × 108 | 2.28 × 108 | 0.00 | 0.00 | 0.00 |
South Carolina | 78,489 | 7.90 × 108 | 2.28 × 109 | 4.07 × 109 | 0.02 | 0.03 | 0.05 |
Tennessee | 104,277 | 4.62 × 106 | 4.91 × 108 | 1.10 × 109 | 0.00 | 0.00 | 0.02 |
Virginia | 102,714 | 0.00 | 3.26 × 108 | 7.21× 108 | 0.00 | 0.00 | 0.00 |
(Southeast) | 1,052,154 | 9.62 × 109 | 2.62 × 1010 | 4.63 × 1010 | 0.02 | 0.03 | 0.05 |
Colorado | 253,888 | 7.80 × 1010 | 2.23 × 1011 | 3.95 × 1011 | 0.31 | 0.88 | 1.56 |
Kansas | 212,325 | 8.37 × 1010 | 1.55 × 1011 | 2.37 × 1011 | 0.40 | 0.72 | 1.11 |
Montana | 350,837 | 2.51 × 1011 | 5.24 × 1011 | 8.85 × 1011 | 0.71 | 1.49 | 2.53 |
North Dakota | 178,589 | 1.04 × 1011 | 2.79 × 1011 | 5.02 × 1011 | 0.59 | 1.57 | 2.80 |
Nebraska | 198,419 | 1.39 × 1010 | 7.68 × 1010 | 1.49 × 1011 | 0.08 | 0.39 | 0.75 |
South Dakota | 191,914 | 6.20 × 1010 | 1.64 × 1011 | 2.85 × 1011 | 0.32 | 0.85 | 1.49 |
Wyoming | 229,275 | 8.53 × 1010 | 2.04 × 1011 | 3.49 × 1011 | 0.37 | 0.89 | 1.52 |
(Northern Plains) | 1,615,247 | 6.78 × 1011 | 1.62 × 1012 | 2.80 × 1012 | 0.42 | 1.00 | 1.74 |
Arizona | 266,867 | 1.03 × 1011 | 3.01 × 1011 | 5.51 × 1011 | 0.39 | 1.12 | 2.06 |
California | 353,973 | 2.38 × 1010 | 6.18 × 1010 | 1.16 × 1011 | 0.06 | 0.17 | 0.32 |
Idaho | 197,155 | 1.08 × 1011 | 2.46 × 1011 | 4.34 × 1011 | 0.55 | 1.25 | 2.20 |
New Mexico | 284,358 | 2.74 × 1011 | 5.72 × 1011 | 9.43 × 1011 | 0.97 | 2.02 | 3.31 |
Nevada | 269,415 | 7.51 × 1010 | 1.68 × 1011 | 2.91 × 1011 | 0.28 | 0.62 | 1.08 |
Oregon | 239,876 | 2.28 × 1010 | 4.81 × 1010 | 7.98 × 1010 | 0.09 | 0.20 | 0.34 |
Utah | 185,030 | 2.63 × 1011 | 5.12 × 1011 | 8.15 × 1011 | 1.42 | 2.77 | 4.40 |
Washington | 161,881 | 3.63 × 1010 | 7.31 × 1010 | 1.18 × 1011 | 0.23 | 0.45 | 0.72 |
(West) | 1,958,556 | 9.06 × 1011 | 1.98 × 1012 | 3.35 × 1012 | 0.46 | 1.02 | 1.71 |
Totals | 7,374,238 | 3.48 × 1012 | 8.34 × 1012 | 1.44× 1013 |
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Groshans, G.R.; Mikhailova, E.A.; Post, C.J.; Schlautman, M.A.; Zhang, L. Determining the Value of Soil Inorganic Carbon Stocks in the Contiguous United States Based on the Avoided Social Cost of Carbon Emissions. Resources 2019, 8, 119. https://doi.org/10.3390/resources8030119
Groshans GR, Mikhailova EA, Post CJ, Schlautman MA, Zhang L. Determining the Value of Soil Inorganic Carbon Stocks in the Contiguous United States Based on the Avoided Social Cost of Carbon Emissions. Resources. 2019; 8(3):119. https://doi.org/10.3390/resources8030119
Chicago/Turabian StyleGroshans, Garth R., Elena A. Mikhailova, Christopher J. Post, Mark A. Schlautman, and Lisha Zhang. 2019. "Determining the Value of Soil Inorganic Carbon Stocks in the Contiguous United States Based on the Avoided Social Cost of Carbon Emissions" Resources 8, no. 3: 119. https://doi.org/10.3390/resources8030119
APA StyleGroshans, G. R., Mikhailova, E. A., Post, C. J., Schlautman, M. A., & Zhang, L. (2019). Determining the Value of Soil Inorganic Carbon Stocks in the Contiguous United States Based on the Avoided Social Cost of Carbon Emissions. Resources, 8(3), 119. https://doi.org/10.3390/resources8030119