Beijing Forest Carbon Storage Potential Capacity
DOI:
https://doi.org/10.32976/stratfuz.2024.14Keywords:
carbon storage, forest management, FSOS modelAbstract
Forests serve as a crucial carbon reservoir. Therefore, optimizing forest carbon storage is a pathway towards achieving carbon neutrality. In this study, the Forest Simulation Optimization System (FSOS) was used to simulate the carbon storage in Beijing forests over 250 years (2018-2268). It was found that under the no management scenario, carbon storage fluctuates with the natural growth and death of trees, with peaks of more than 90 million tons. It proves that forests have a strong capacity of carbon storage. In the management scenario, harvest trees and make them into furniture, total carbon storage is high and maintains a stable level of 108 million tons. This is almost 1.6 times higher than in the no management scenario on average. In addition, the growth rate of carbon storage is fastest in the middle-aged forest and the near-mature forest. Therefore, in order to optimize the carbon sequestration benefits of forests, the forestry sector must pay attention to the age structure of forests in the future. Based on the results of this study, recommendations were made to optimize carbon storage in Beijing forests and to integrate forest managements of Beijing forests into regional economic and environmental planning.
References
BFSDI (Beijing Forest Survey and Design Institute). (2016): Twelfth Five-Year Plan Survey Statistical Report of Beijing Forest Resource Planning and Design Survey. Beijing: BFSDI.
Bishnu, H. P.; Tek, M.; Geoff C. (2019): Impacts of forest management on tree species richness and composition: Assessment of forest management regimes in Tarai landscape Nepal. Applied Geography, 111. 102078. https://doi.org/10.1016/j.apgeog.2019.102078
Chen, K.Y., Wang, J.J., He, Y.J., et al. (2022): Estimations of forest carbon storage and carbon sequestration potential of key state-owned forest region in Daxing’anling, Heilongjiang Province. Ecology and Environmental Sciences, 31. 1725-1734.
Daigneault, A., Favero, A. (2021): Global forest management, carbon sequestration and bioenergy supply under alternative shared socioeconomic pathways. Land Use Policy, 103. 105302. https://doi.org/10.1016/j.landusepol.2021.105302
Dai, Q.L.; Zhang, C.; Shang, K.R.; et al. (2020): Rational annual cutting volume of forest management units based on FSOS. Journal of Zhejiang A & F University, 37. 833-840.
Jia, B.; Guo, W.W.; He, J.Y.; et al. (2022): Topography, Diversity, and Forest Structure Attributes Drive Aboveground Carbon Storage in Different Forest Types in Northeast China. Forests, 13. 455. https://doi.org/10.3390/f13030455
Jiang, J.H, Qi, S., Hu, J., et al. (2019): Carbon storage assessment and analysis of forest ecosystem in Beijing mountainous area based on InVEST model. Earth Environ, 47. 326-335. https://doi.org/10.14050/j.cnki.1672-9250.2019.47.049
Jo, H., Kim J., Park H. (2019): Carbon reduction and planning strategies for urban parks in Seoul. Urban For Urban Gree, 41. 48-54. https://doi.org/10.1016/j.ufug.2019.03.009
Li, Q.; Xia, X.; Kou, X.; et al. (2023): Forest Carbon Storage and Carbon Sequestration Potential in Shaanxi Province, China. Forests, 14. 2021. https://doi.org/10.3390/f14102021
Lin, B.Q., Ge, J.M. (2019): Valued forest carbon sinks: How much emissions abatement costs could be reduced in China. Journal of Cleaner Production, 224. 455-464. https://doi.org/10.1016/j.jclepro.2019.03.221
Liu, G.L. (2000): A simulated annealing method for target-oriented forest landscape blocking and scheduling. doctoral thesis, the University of British Columbia, Canada.
Liu,G.L.; Han, Shijie. (2009): Long-term forest management and timely transfer of carbon into wood products help reduce atmospheric carbon. Ecological Modelling, 220. 1719-1723. https://doi.org/10.1016/j.ecolmodel.2009.04.005
Liu,G.L., Nelson, J., Wardman, C. (2000): A target-oriented approach to forest ecosystem design－changing the rule of forest planning. Ecological Modelling, 127. 269. https://doi.org/10.1016/S0304-3800(99)00217-3
Liu, J.H., Wu, F.P. (2017): Forest Carbon Sequestration Subsidy and Carbon Tax as Part of China’s Forestry Policies. Forests, 8. 58. https://doi.org/10.3390/f8030058
Liu, J., Liu, Y.M., Liu, G.L., et al. (2012): Multi-objective Sustainable Business Planning Study－A Case Study of Baihe Forest Bureau. Forestry Economics, 7. 105-108. https://doi.org/10.13843/j.cnki.lyjj.2012.07.017
Luo, Y.J.; Wang, X.K.; Zhang, X.Q.; et al. (2013): Biomass and Its Allocation of Forest Ecosystems in China, 1st ed. Beijing: China Forestry Publishing House.
Nowak, D.J., Greenfield, E.J., Hoehn, R.E., et al. (2013): Carbon storage and sequestration by trees in urban and community areas of the United States. Environ Pollut, 178. 229-236. https://doi.org/10.1016/j.envpol.2013.03.019
Ren, Y.M.; Wen, Z.Y.; Wang, M.N.; et al. (2023): Evaluation of forest carbon sequestration capacity in Beijing. Journal of Beijing Forestry University, 45. 108-119. https://doi.org/10.12171/j.1000-1522.20220436
Robert, A. G.; Colleen M. R.; Ethan P. B.; et al. (2022): Storing More Carbon by Improving Forest Management in the Acadian Forest of New England, USA. Forests, 13. 2031. https://doi.org/10.3390/f13122031
Roth, E.-M.; Karhu, K.; Koivula, M. et al. (2023): How do harvesting methods applied in continuous-cover forestry and rotation forest management impact soil carbon storage and degradability in boreal Scots pine forests?. Forest Ecology and Management, 544. 121144. https://doi.org/10.1016/j.foreco.2023.121144
SFAC (State Forestry Administration of China). (2014): Forest Management Carbon Storage Project Methodology. Beijing: SFAC.
SFAC (State Forestry Administration of China). (2017): Regulations for age-class and age-group division of main tree-species (LY/T2908-2017). Beijing: SFAC.
SFSCCP (Smart Forest Simulation model-Cloud Computing Platform). Available online: http://forestcloud.cn (accessed on 25 January 2022).
Štraus, H.; Podvinšek, S.; Klopčič, M. et al. (2023): Identifying Optimal Forest Management Maximizing Carbon Sequestration in Mountain Forests Impacted by Natural Disturbances: A Case Study in the Alps. Forests, 14. 947. https://doi.org/10.3390/f14050947
Sugiyama, A.; Game, E. T.; Wright, S. J. (2024): Planting exceptional tropical tree species to increase long-term carbon storage in assisted secondary succession. Journal of Applied Ecology, 61. 7-12. https://doi.org/10.1111/1365-2664.14533
Tu, H.T., Zhou, H.B., Ma, G.Q., et al. (2023): Characteristics of Forest Carbon Storage in Yunnan Based on the Ninth Forest Inventory Data. Journal of Northwest Forestry University, 38. 185-193.
Wei, Y.; Jim, C.-Y.; Gao, J.; Zhao, M. (2023): Determinants of Aboveground Carbon Storage of Woody Vegetation in an Urban–Rural Transect in Shanghai, China. Sustainability, 15. 8574. https://doi.org/10.3390/su15118574
Wondimu, M. T.; Nigussie, Z. A.; Yusuf, M. M. (2021): Tree species diversity predicts aboveground carbon storage through functional diversity and functional dominance in the dry evergreen Afromontane forest of Hararghe highland, Southeast Ethiopia. Ecological Processes, 10. 1-15. https://doi.org/10.1186/s13717-021-00322-4
Wu, L.Q.; Sun, Y.B.; Sun, H.; et al. (2022): Determination of annual full cycle cutting volume of main forest types in Saihanba Mechanized Forestry Farm based on Forest Simulation Optimization System (FSOS). Forestry and Ecological Sciences, 37. 134-141. https://doi.org/10.13320/j.cnki.hjfor.2022.0019
Zheng, Q.Y.; Wei, H.H.; Chen, J.; et al. (2019): Study on Carbon Sink Value Evaluation of Three-north Shelterbelt Program in the Past 40 Years. Forestry Economics, 41. 67-73+112. https://doi.org/10.13843/j.cnki.lyjj.2019.02.012
Downloads
Published
How to Cite
Issue
Section
License
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
