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    中国森林碳汇与林业经济发展耦合及长期变化特征分析

    Coupling and long-term change characteristics analysis of forest carbon sequestration and forestry economic development in China

    • 摘要:
        目的  分析森林碳汇与林业经济发展变化的趋势,为相关管理决策、生态治理和资源环境管理等提供参考,推动我国绿色低碳经济的发展。
        方法  利用1989—2018年间6次森林资源清查数据,在相关研究的基础上,采用森林碳汇与林业经济发展综合评价模型、森林碳汇与林业经济发展耦合度模型和森林碳汇与林业经济发展耦合协调度模型,进行1992—2018年森林碳汇与林业经济发展变化的耦合度分析。采用逐步回归和ARIMA模型分析森林碳汇影响因素和滞后性,并采用自回归和ADF检验等预测我国2019—2030年森林碳汇与林业经济发展耦合度,研究也对中国森林碳汇与林业经济发展耦合及长期变化特征等问题进行了讨论。
        结果  (1)生态建设与保护投资、林业重点生态工程实际完成投资额、GDP和林产品进口额对森林碳储量有显著影响,林业产业总产值、林业重点生态工程实际完成投资额、林产品出口额对森林碳汇量有显著影响,其中林业重点生态工程实际完成投资额对二者的影响都最大。(2)林业重点生态工程实际完成投资额等因素对森林碳储量的影响作用滞后性为2年,对森林碳汇量的影响滞后性为1年。在森林碳汇投资时,应提前做好部署,并做好森林资源经营管理和时间优化。(3)1992—2018年,我国森林碳储量、森林碳汇量与林业经济长期发展的耦合度协调度是逐步上升的,中间虽有所波动,但森林碳储量与林业经济长期发展的耦合度协调度年均增长9.24%,耦合协调程度由1992年的“严重失调”,上升到2018年的“优质协调”;1993—2018年,森林碳汇量与林业经济长期发展的耦合度协调度年均增长9.63%,稍快于森林碳储量与林业经济长期发展的耦合协调度的增长速度。协调等级也由1993年的2级上升到2018年的10级。(4)预测表明:2019—2030年,森林碳储量、森林碳汇量与林业经济长期发展的耦合协调度都是增加的,二者的耦合协调度D值均接近于1,协调等级也长期为10,耦合协调程度也长期保持在“优质协调”水平上。
        结论  森林具有社会、经济和生态多重效益,森林碳汇仅仅是一种效益产出,开展森林碳汇与林业经济发展变化的长期耦合分析是多重效益分析的一个关键。研究分析认为我国森林碳汇的溢出效应、协同进化效应明显,1992—2018年森林碳汇与林业经济发展变化的耦合协调度是逐步上升的。预测分析也表明,2019—2030年,森林碳汇量与林业经济长期发展的耦合协调度将长期保持在“优质协调”水平上。因此,提高森林经营管理水平,并维持目前的森林资源增加态势,是我国实现“双碳”目标的关键。

       

      Abstract:
        Objective  This paper aims to analyze the trend of forest carbon sequestration and the development and change of forestry economy, and to provide reference for relevant management decisions, ecological governance and resource and environment management, as well as to promote the development of green and low-carbon economy in China.
        Method  Based on the data of 6 forest resource inventory from 1989 to 2018 in China, the comprehensive evaluation model of forest carbon sink and forest economic development, the coupling degree model and the coupling coordination degree model of forest carbon sink and forest economic development were adopted. The coupling degree of forest carbon sink and forest economic development from 1992 to 2018 was analyzed. Stepwise regression and ARIMA model were used to analyze the influencing factors and lagging characteristics of forest carbon sink. Autoregressive and ADF tests were used to predict the coupling degree of forest carbon sink and forest economic development in China from 2019 to 2030. The coupling of forest carbon sequestration and forestry economic development and the characteristics of long-term change in China were also discussed based on above methods.
        Result  (1) Investment in ecological construction and protection, forestry key ecological projects actually completed investment, gross domestic product GDP and imports of forest products had significant effects on forest carbon storage; the total output value of forestry industry, the forestry key ecological projects actually completed investment, and the export value of forest products had a significant impact on forest carbon sequestration, while the forestry key ecological projects actually completed investment had the greatest impact on the two. (2) It was found that the forestry key ecological projects actually completed investment had a lag of 2 years on forest carbon storage and a lag of 1 year on forest carbon sink. When investing in forest carbon sequestration, the investment should be made in advance, and the management and timing of forest resources should be optimized. (3) From 1992 to 2018, the coupling degree of forest carbon storage, forest carbon sink and long-term development of forestry economy increased gradually. Although there were fluctuations in the middle time, the coupling degree of forest carbon storage and long-term development of forestry economy increased by 9.24% annually. The degree of coupling coordination increased from “serious imbalance” in 1992 to “excellent coordination” in 2018. From 1993 to 2018, the coupling degree of forest carbon sink and long-term development of forestry economy increased by 9.63% annually, slightly faster than the coupling degree of forest carbon storage and long-term development of forestry economy. The level of coordination had also risen from level 2 in 1993 to level 10 in 2018. (4) From 2019 to 2030, the coupling coordination degree between forest carbon storage and long-term development of forestry economy, and the coupling coordination degree between forest carbon sink and forestry economic development will both increase. The coupling coordination degree D value of forest carbon storage and forest carbon sink will be close to 1, and the coordination degree will be 10 for a long time. The degree of coupling coordination was also maintained at the level of “excellent coordination” for a long time.
        Conclusion  Forest has multiple social, economic and ecological benefits, and forest carbon sink is only a kind of benefit output. The long-term coupling analysis of forest carbon sink and forest economic development is the key to multiple benefit analysis. The results show that spillover effect and coevolution effect of forest carbon sink are obvious in China, and the coupling coordination degree between forest carbon sink and forest economic development is gradually increasing from 1992 to 2018. From 2019 to 2030, the coupling coordination degree between forest carbon sequestration and the long-term development of forestry economy will remain at the “high quality coordination” level. Therefore, to improve the level of forest management and maintain the current increase of forest resources is the key to achieve the goal of “double carbon” in China.

       

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