State Key Laboratory of Subtropical Silviculture, Zhejiang A&F University, Lin'an 311300, Zhejiang, China.; Zhejiang Provincial Collaborative Innovation Center for Bamboo Resources and High-efficiency Utilization, Zhejiang A&F University, Lin'an 311300, Zhejiang, China.; Key Laboratory of Carbon Cycling in Forest Ecosystems and Carbon Sequestration of Zhejiang Province, Zhejiang A&F University, Lin'an 311300, Zhejiang, China.; School of Environmental and Resources Science, Zhejiang A&F University, Lin'an 311300, Zhejiang, China.
State Key Laboratory of Subtropical Silviculture, Zhejiang A&F University, Lin'an 311300, Zhejiang, China.; Zhejiang Provincial Collaborative Innovation Center for Bamboo Resources and High-efficiency Utilization, Zhejiang A&F University, Lin'an 311300, Zhejiang, China.; Key Laboratory of Carbon Cycling in Forest Ecosystems and Carbon Sequestration of Zhejiang Province, Zhejiang A&F University, Lin'an 311300, Zhejiang, China.; School of Environmental and Resources Science, Zhejiang A&F University, Lin'an 311300, Zhejiang, China..
Sci Total Environ. 2018 Aug 1;631-632:619-626. doi: 10.1016/j.scitotenv.2018.03.080. Epub 2018 Mar 16.
Subtropical forests play an important role in global carbon cycle and in mitigating climate change. Knowledge on the abiotic and biotic driving factors that affect vegetation carbon stocks in subtropical forest ecosystems is needed to take full advantage of the carbon sequestration potential. We used a large-scale database from national forest continuous inventory in Zhejiang Province, and combined the Random Forest analysis (RF) and structural equation modeling (SEM) to quantify the contribution of biotic and abiotic driving factors on vegetation carbon stocks, and to evaluate the direct and indirect effects of the main driving factors. The RF model explained 50% of the variation in vegetation carbon stocks; canopy density accounted for 17.9%, and forest age accounted for 7.0%. Moreover, the SEM explained 52% of the variation in vegetation carbon stocks; the value of standardized total effects of canopy density and forest age were 0.469 and 0.327, respectively, suggesting that they were the most crucial driving factors of vegetation carbon stocks. Since the forests in our study were relatively young, the forests had a large potential for carbon sequestration. Overall, our study provided new insights into the sensitivity and potential response of subtropical forest ecosystems carbon cycle to climate change.
亚热带森林在全球碳循环和减缓气候变化中发挥着重要作用。为了充分利用碳封存潜力,需要了解影响亚热带森林生态系统植被碳储量的非生物和生物驱动因素。我们使用了来自浙江省国家森林连续清查的大型数据库,并结合随机森林分析 (RF) 和结构方程建模 (SEM),定量评估了生物和非生物驱动因素对植被碳储量的贡献,并评估了主要驱动因素的直接和间接影响。RF 模型解释了植被碳储量变化的 50%;冠层密度占 17.9%,森林年龄占 7.0%。此外,SEM 解释了植被碳储量变化的 52%;冠层密度和森林年龄的标准化总效应值分别为 0.469 和 0.327,表明它们是植被碳储量的最重要驱动因素。由于我们研究中的森林相对较年轻,因此森林具有很大的碳封存潜力。总体而言,我们的研究为亚热带森林生态系统碳循环对气候变化的敏感性和潜在响应提供了新的见解。