Dynamic assessment of forest assets based on ecosystem system
DOI:
https://doi.org/10.54097/hset.v50i.8467Keywords:
Carbon Sequestration, Forest assets, Forest Management, Decision Model.Abstract
Forests are crucial to mitigation efforts, especially for carbon sequestration, as climate change poses a growing global threat. Based on the Forestry for Carbon Sequestration problem, this paper established a model to estimate Carbon Sequestration. And about forest management plan, a series of value indicators are established. Finally, amount of carbon dioxide can be sequestered by forests and their products over time and the results of the forest man-agement plan model are given.
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Wu Yu. Responses of Central Subtropical Forest Carbon Pools and Plant Communities to Climate Change [D]. University of Chinese Academy of Sciences (Wuhan Botanical Garden, Chinese Academy of Sciences), 2020. DOI: 10.27603/d.cnki.gkhzs.2020.000045.
Keller K, Yang Z, Hall M, Bradford DF. Carbon dioxide sequestration: When and how much? Submitted to. Climatic Change. 2003.
Mayer M, Woltering M. Assessing and valuing the recreational ecosystem services of Germany’s national parks using travel cost models[J]. Ecosystem Services,2018,31:371-386.Ninan K N, Kontoleon A. Valuing forest ecosystem services and disservices – Case study of a protected area in India[J]. Ecosystem Services,2016,20:1-14.
Hanford J K, Webb C E, Hochuli D F. Management of urban wetlands for conservation can reduce aquatic biodiversity and increase mosquito risk[J]. Journal of Applied Ecology,2020, 57(4).
The National Computational Science Leadership Program.
Tan Li. Prediction of phytolith carbon storage and spatial distribution in rice ecosystem based on BP neural network model [D]. Zhejiang University, 2021.
An Jiuyu. Research on the measurement of $CO_2$ emissions from urban road traffic and the method of carbon sequestration in trees [D]. Northeast Forestry University, 2016.
Jiao Yuanyuan. Research on forest carbon sink measurement algorithm based on BP neural network [D]. Northeast Forestry University, 2013.
Shang Heping, Ji Yubo. Performance Analysis of Simulated Annealing Algorithm for Genetic Neural Network Optimization [J]. Journal of Liaoning Petrochemical University, 2007(03):67-70.
Tang Wenguang. Research on the optimal decision-making for the conversion of agricultural land to carbon sink forestry based on real options [D]. Tianjin University of Finance and Economics, 2016.
Guang Zhao,Gangcai Liu,Wanze Zhu. Estimating individual- and stand-level stem CO2 efflux in a subalpine forest: assessment of different extrapolation methods[J]. Trees,2019,33(6).
Jiang Xin, WANG Xiujuan. Optimal cutting decision model of forest -- a new framework of forestry economic policy analysis [J]. Scientia silvae sinicae,2013,49(09):178-185.
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