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辽宁省森林碳汇及其经济价值的变化分析与潜力预测
Analysis and Potential Prediction of Forest Carbon Sequestration and Its Economic Value in Liaoning Province

DOI: 10.12677/ojns.2025.131004, PP. 31-41

Keywords: 辽宁省,碳储量,碳汇量,森林碳汇,森林碳汇经济价值
Liaoning Province
, Carbon Stocks, Carbon Sinks, Forest Carbon Sink, Economic Value of Forest Carbon Sin

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Abstract:

森林生态系统在全球范围内扮演着关键角色,作为主要的碳库,其生物体和土壤中积聚了庞大的碳量。本研究利用1998年至2018年间辽宁省的森林资源清查数据,结合生物量转换因子连续函数法与市场价值法,全面分析了辽宁省森林的碳储量、碳汇能力以及它们所带来的经济价值。并利用GM (1, 1)灰色预测模型预测辽宁省森林碳汇发展潜力,进而得到碳达峰目标年的预估值。结果表明:本文基于1998~2018年辽宁省森林数据,分析了森林碳储量、碳汇现状及其经济价值,并预测了碳达峰年2023年的预估值。研究结果表明,幼龄林和中龄林的碳储量占据了最大的比例,而成熟林的碳汇量在2009年至2013年间达到了最高点1.91 Tg C/a。各优势种碳储量整体增加,但碳汇量变化无明显规律。天然林碳汇量下降,人工林上升。灌木林的碳储存量有所增长,而经济林的碳储存量则出现了减少。预计2023年乔木林面积5.04 × 106 hm2,碳储量267.06 Tg C,碳汇量8.35 Tg C/a,碳汇经济价值8.67 × 107元/a。
The forest ecosystem plays a key role on a global scale, acting as major carbon reservoirs, with huge amounts of carbon accumulating in its biomass and soils. This article analyzes the forest carbon storage and carbon sequestration status and economic value of Liaoning Province from 1998 to 2018, based on forest inventory data, using the biomass conversion factor continuous function method and market value method. It also predicts the development potential of forest carbon sequestration in Liaoning Province using the GM (1, 1) grey prediction model, leading to an estimated value for the carbon peak year. The results show that the carbon storage of young and middle-aged forests accounts for the largest proportion, with mature forests reaching a peak carbon sequestration of 1.91 Tg C/a during 2009~2013. The carbon storage of various dominant species has generally increased, but the carbon sequestration has no clear pattern. The carbon sequestration of natural forests is declining, while that of plantation forests is increasing. The carbon storage of shrub forests has increased annually, while that of economic forests has decreased. It is estimated that by the carbon peak year of 2023, the area of arbor forests in Liaoning Province will reach 5.04 × 106 hm2, with a carbon storage of 267.06 Tg C, a carbon sequestration of 8.35 Tg C/a, and an economic value of 8.67 × 107 yuan/a.

References

[1]  王文霞, 何桂梅, 徐林, 张超群. 浙江省林业碳汇推动实现“碳中和”的实践进展[J]. 林业科技通讯, 2024(2): 11-16.
[2]  张春华, 居为民, 王登杰, 王希群, 王昕. 2004-2013年山东省森林碳储量及其碳汇经济价值[J]. 生态学报, 2018, 38(5): 1739-1749.
[3]  徐思若, 成志影, 那雪迎, 张栩嘉, 马大龙, 张鹏. 黑龙江省森林碳汇及其经济价值的变化分析与潜力预测[J]. 生态学杂志, 2024(1): 197-205.
[4]  Fang, J., Chen, A., Peng, C., Zhao, S. and Ci, L. (2001) Changes in Forest Biomass Carbon Storage in China between 1949 and 1998. Science, 292, 2320-2322.
https://doi.org/10.1126/science.1058629
[5]  张慧东, 云丽丽, 颜廷武. 辽宁省森林植被全口径碳汇碳中和能力研究[J]. 辽宁林业科技, 2023(6): 1-5.
[6]  赵晓敏. 碳中和背景下辽宁林业面临的机遇与挑战[J]. 辽宁林业科技, 2022(4): 65-67.
[7]  刘世荣, 王晖, 李海奎, 余振, 栾军伟. 碳中和目标下中国森林碳储量、碳汇变化预估与潜力提升途径[J]. 林业科学, 2024, 60(4): 157-172.
[8]  方精云, 刘国华, 徐嵩龄. 我国森林植被的生物量和净生产量[J]. 生态学报, 1996, 16(5): 497-508.
[9]  李海奎, 雷渊才. 中国森林植被生物量和碳储量评估[M]. 北京: 中国林业出版社, 2010.
[10]  Pan, Y., Luo, T., Birdsey, R., Hom, J. and Melillo, J. (2004) New Estimates of Carbon Storage and Sequestration in China’s Forests: Effects of Age Class and Method on Inventory-Based Carbon Estimation? Climatic Change, 67, 211-236.
https://doi.org/10.1007/s10584-004-2799-5
[11]  Zhang, C., Ju, W., Chen, J.M., Zan, M., Li, D., Zhou, Y., et al. (2013) China’s Forest Biomass Carbon Sink Based on Seven Inventories from 1973 to 2008. Climatic Change, 118, 933-948.
https://doi.org/10.1007/s10584-012-0666-3
[12]  Fang, J., Guo, Z., Piao, S. and Chen, A. (2007) Terrestrial Vegetation Carbon Sinks in China, 1981-2000. Science in China Series D: Earth Sciences, 50, 1341-1350.
https://doi.org/10.1007/s11430-007-0049-1
[13]  李海奎. 碳中和愿景下森林碳汇评估方法和固碳潜力预估研究进展[J]. 中国地质调查, 2021, 8(4): 79-86.
[14]  张娟, 陈钦. 森林碳汇经济价值评估研究——以福建省为例[J]. 西南大学学报(自然科学版), 2021, 43(5): 121-128.
[15]  刘领, 王艳芳, 悦飞雪, 李冬, 赵威. 基于森林清查资料的河南省森林植被碳储量动态变化[J]. 生态学报, 2019, 39(3): 864-873.
[16]  黄凯旋. “双碳”背景下森林碳汇功能及展望[J]. 辽宁林业科技, 2024(1): 51-54+61.
[17]  蒙平珠, 王文棣, 吴玉泽. “双碳”背景下甘肃省森林碳汇经济价值估算研究[J]. 生产力研究, 2023(6): 55-59.
[18]  姜韬, 赵济川, 胡博, 尚晶, 王琦, 刘红民. 辽宁省森林碳汇市场潜力分析[J]. 辽宁林业科技, 2023(1): 53-56.

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