Education, Science, Technology, Innovation and Life
Open Access
Sign In
  1. Home
  2. Journals
  3. Advances in Computer, Signals and Systems
  4. Vol 7, Issue 5, 2023

Decision Modelling and Analysis of Carbon Sequestration for Forest Management

Download as PDF

DOI: 10.23977/acss.2023.070509 | Downloads: 6 | Views: 310

Author(s)

Xuehong Du 1

Affiliation(s)

1 Department of Computer Science and Technology, Northeastern University, Shenyang, 110819, China

Corresponding Author

Xuehong Du

ABSTRACT

Forest carbon sequestration is an effective way to tackle the serious climate change and reach the goal of carbon peaking and carbon neutrality. Now, there have been four major forest regions in China used as the research objects of carbon sequestration, which cover three research aspects: vegetation area, tree species, and tree age. In this study, we establish a mathematical model of annual carbon sequestration benefits. Then we analyze the situation of deforestation in ten countries including China by dividing the forest value into socio-economic benefits and ecological benefits. Factor analysis is used to select three main influencing factors including national ecological protection value, economic benefits, and types of trees harvested in order to make a comprehensive analysis. After that, the relationship between forest benefits and deforestation are deduced through fitting and a comprehensive evaluation index system is established for balancing the forest value. Then a GM (1,1) model is used to estimate the amount of carbon sequestration by China's forests and obtained an average increase of 2.8 billion tons over five years. The results are 90% accurate when compared with the eighth carbon stock of forest resources in China officially published by the National Forestry and Grassland Bureau. In addition, by comparing different forest management strategies, it is found that reasonable harvesting can bring higher economic benefits. The results of this study can provide a theoretical basis for optimizing forest management strategies.

KEYWORDS

Forest management, carbon sequestration, factor analysis, GM (1,1) model

CITE THIS PAPER

Xuehong Du. Decision Modelling and Analysis of Carbon Sequestration for Forest Management. Advances in Computer, Signals and Systems (2023) Vol. 7: 52-64. DOI: http://dx.doi.org/10.23977/acss.2023.070509.

REFERENCES

[1] Rogelj J., den Elzen M., Höhne N., Fransen T., Fekete H., Winkler H., Schaeffer R., Sha F., Riahi K., Meinshausen, M. Paris Agreement climate proposals need a boost to keep warming well below 2 ◦C. Nature 2016,  534, 631–639.
[2] Lindroth A., Holst J., Heliasz M., Vestin P., Lagergren F., Biermann T., Cai Z., Mölder M. Effects of low thinning on carbon dioxide fluxes in a mixed hemiboreal forest. Agric. For. Meteorol. 2018, 262, 59–70.
[3] Jevšenak J., Klopˇciˇc M., Mali B. The Effect of Harvesting on National Forest Carbon Sinks up to 2050 Simulated by the CBM-CFS3 Model: A Case Study from Slovenia. Forests 2020, 11, 1090.
[4] J Jevšenak, M Klopčič, B Mali. (2020). "The Effect of Harvesting on National Forest Carbon Sinks up to 2050 Simulated by the CBM-CFS3 Model: A Case Study from Slovenia." Forests 11(10).
[5] Creutzburg L., Lieberherr E. To log or not to log? Actor preferences and networks in Swiss forest policy. For. Policy Econ. 2021, 125, 102395.
[6] Lianbo Ma, Shi Cheng, Yuhui Shi, "Enhancing Learning Efficiency of Brain Storm Optimization via Orthogonal Learning Design," IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 51, no. 11, pp. 6723-6742, Nov. 2021.
[7] Tianjian Cao, Lauri Valsta, and Annikki Mäkelä. "A comparison of carbon assessment methods for optimizing timber production and carbon sequestration in Scots pine stands." Forest Ecology and Management 260.10 (2010): 1726-1734. 
[8] Chunyi Ji. Accounting and Impact Study of Carbon Flows from Woody Forest Products in China. Nanjing Forestry University, 2013.
[9] Daorui Han, Martin Wiesmeier, Richard T. Conant., et al. (2018). "Large soil organic carbon increase due to improved agronomic management in the North China Plain from 1980s to 2010s." Glob Chang Biol 24(3): 987-1000.
[10] Nasir N., Aziz M.I.A., Banitalebi A. Carbon Absorption Control Model of Oil Palm Plantation. Sains Malays. 2019, 48, 921–925.
[11] YING, Zhang; XIAOGE, Li; YALI, Wen. Forest carbon sequestration potential in China under the background of carbon emission peak and carbon neutralization. Journal of Beijing Forestry University, 2022, 44.1: 38-47.
[12] Cabon A., Kannenberg S.A., Arain A., et al. Cross-biome synthesis of source versus sink limits to tree growth. Science 2022, 376, 758–761.
[13] Dugan A J, Birdsey R, Healey S P, et al. Forest sector carbon analyses support land management planning and projects: assessing the influence of anthropogenic and natural factors. Climatic Change, 2017, 144: 207-220. 
[14] Angenzhuolang. Optimal planning theory of forest use. Journal of Northeast Forestry University, 1988, (05): 69-80.
[15] Charlotte C. Smith, Fernando D. B. Espírito-Santo, John R. Healey., et al. (2020). "Secondary forests offset less than 10% of deforestation-mediated carbon emissions in the Brazilian Amazon." Glob Chang Biol 26(12): 7006-7020.
[16] Ameray A, Bergeron Y, Valeria O, et al. Forest carbon management: A review of silvicultural practices and management strategies across boreal, temperate and tropical forests. Current Forestry Reports, 2021: 1-22. 
[17] K Khan, J Iqbal, A Ali, SN Khan. (2020). "Assessment of Sentinel-2-Derived Vegetation Indices for the Estimation of above-Ground Biomass/Carbon Stock, Temporal Deforestation and Carbon Emissions Estimation in the Moist Temperate Forests of Pakistan." Applied Ecology and Environmental Research 18(1): 783-815.
[18] J Lee, H Kim, C Song, et al. (2020). "Determining economically viable forest management option with consideration of ecosystem services in Korea: A strategy after successful national forestation." Ecosystem Services 41.
[19] Xue Longfei, Luo Xiafeng, Wu Xianrong. Carbon sequestration efficiency in four major forest areas in China: measurement, drivers and convergence. Journal of Natural Resources, 2016, 31(08): 1351-63.
[20] J Guan, H Zhou, L Deng, et al. (2015). "Forest biomass carbon storage from multiple inventories over the past 30 years in Gansu Province, China: implications from the age structure of major forest types." Journal of Forestry Research 26(4): 887-896.
[21] Aziz S, Chughtai F M, Shaheen H, et al. Biomass and soil carbon stocks assessment in western Himalayan alpine and subalpine vegetation zones of Kashmir. Pak. J. Bot, 2019, 51(3): 973-978.

Subscription
E-Mail Alert
Most popular papers
Call for Special Issue
Publication Ethics & OA Statement
Plagiarism Policy
Contact Us
Downloads: 15559
Visits: 269672

Sponsors, Associates, and Links

All published work is licensed under a Creative Commons Attribution 4.0 International License.

Copyright © 2016 - 2031 Clausius Scientific Press Inc. All Rights Reserved.