Evaluating Carbon Stock Changes in Forest and Related Uncertainty
Abstract
:1. Introduction
2. Materials and Methods
2.1. Study Area
2.2. Carbon Stock and Stock Change Estimates and Uncertainty Analysis
3. Results
4. Discussion
5. Conclusions
Acknowledgments
Author Contributions
Conflicts of Interest
References
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Equation Name | Equation Expression | Equation |
---|---|---|
Volume equation for Douglas fir from the National Italian Forest Inventory (INFC) | (1) | |
A constant BEF from the INFC for conifer plantations in Italy | BEF = 1.41 Basic wood density = 0.43 | (2) |
Volume equation for the Douglas fir plantation in Calabria | (3) | |
Age-dependent BEF equations elaborated for Douglas fir in Calabria | (4) | |
Allometric equations for Douglas fir in Calabria | (5) |
Above-Ground Carbon Estimates | ||||||
---|---|---|---|---|---|---|
Age (Years) | Density Classes (Trees ha−1) | W1 (Mg ha−1) | W2 (Mg ha−1) | W3 (Mg ha−1) | Average (Mg ha−1) | ANOVA Planting Density |
15 | 2500 | 60.9 | 84.2 | 70.2 | 71.8 A | |
2000 | 59.4 | 85.0 | 70.0 | 71.5 A | F = 36.3; p = 0.003 | |
1667 | 53.9 | 73.8 | 61.0 | 62.9 B | ||
ANOVA Models F = 191.2; p ≤ 0.001 | Average | 58.1 | 81.0 | 67.1 | ||
A | B | C | ||||
25 | 2500 | 146.4 | 137.9 | 114.6 | 133.0 A | |
2000 | 146.4 | 144.9 | 120.5 | 137.3 A | F = 1.02; p = 0.438 | |
1667 | 155.7 | 139.4 | 116.0 | 137.0 A | ||
ANOVA Models F = 49.2; p = 0.002 | Average | 149.5 | 140.7 | 117.0 | ||
A | A | B | ||||
40 | 2500 | 258.9 | 170.5 | 142.5 | 190.6 A | |
2000 | 291.8 | 204.6 | 170.8 | 222.4 B | F = 51.3; p = 0.001 | |
1667 | 230.0 | 156.8 | 131.0 | 172.6 C | ||
ANOVA Models F = 272.9; p ≤ 0.001 | Average | 260.2 | 177.3 | 148.1 | ||
A | B | C |
RSE of Biomass Estimates | ||||||
---|---|---|---|---|---|---|
Age (Years) | Density Classes (Trees ha−1) | W1 (%) | W2 (%) | W3 (%) | Average | ANOVA Planting Density |
15 | 2500 | 2.8 | 2.6 | 2.3 | 2.6 A | |
2000 | 5.7 | 5.0 | 4.8 | 5.2 B | F = 791.79; p ≤ 0.0001 | |
1667 | 9.3 | 9.3 | 9.1 | 9.2 C | ||
ANOVA Models F = 5.013; p = 0.081 | Average | 5.9 | 5.6 | 5.4 | ||
A | A | A | ||||
25 | 2500 | 1.9 | 1.7 | 0.9 | 1.5 A | |
2000 | 4.6 | 4.4 | 4.2 | 4.4 B | F = 216.67; p ≤ 0.0001 | |
1667 | 6.6 | 5.7 | 5.6 | 6.0 C | ||
ANOVA Models F = 6.766; p = 0.052 | Average | 4.4 | 3.9 | 3.6 | ||
A | AB | B | ||||
40 | 2500 | 1.4 | 1.1 | 0.6 | 1.0 A | |
2000 | 3.9 | 3.6 | 3.5 | 3.7 B | F = 379.18; p ≤ 0.0001 | |
1667 | 5.9 | 5.1 | 4.9 | 5.3 C | ||
ANOVA Models F = 11.273; p = 0.023 | Average | 3.7 | 3.3 | 3.0 | ||
A | AB | B | ||||
U (%) of biomass estimates (Average by density classes) | ||||||
15 | 7.3 | 6.8 | 6.7 | |||
25 | 5.8 | 5.0 | 4.7 | |||
40 | 4.9 | 4.2 | 3.6 |
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Marziliano, P.A.; Menguzzato, G.; Coletta, V. Evaluating Carbon Stock Changes in Forest and Related Uncertainty. Sustainability 2017, 9, 1702. https://doi.org/10.3390/su9101702
Marziliano PA, Menguzzato G, Coletta V. Evaluating Carbon Stock Changes in Forest and Related Uncertainty. Sustainability. 2017; 9(10):1702. https://doi.org/10.3390/su9101702
Chicago/Turabian StyleMarziliano, Pasquale A., Giuliano Menguzzato, and Vittoria Coletta. 2017. "Evaluating Carbon Stock Changes in Forest and Related Uncertainty" Sustainability 9, no. 10: 1702. https://doi.org/10.3390/su9101702