Quantifying the impact pathways and driving mechanisms of increased forest CS: A comparative study case from typical karst ecologically fragile and non-karst areas

IF 4.1 2区 环境科学与生态学 Q1 ECOLOGY Ecological Engineering Pub Date : 2025-02-08 DOI:10.1016/j.ecoleng.2025.107544
Zhongfa Zhou , Meng Zhu , Xiaopiao Wu , Rongping Liu , Jiale Wang , Jiaxue Wan , Jiajia Zheng
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Abstract

At present, the impact path and driving mechanism of increased forest carbon sequestration (CS) in the karst areas of southwestern China have not been clearly quantified. Quantifying the impact pathways and driving mechanisms of increased forest CS is a complex and important research field. By comparing typical karst and non-karst areas, we can gain a deeper understanding of the mechanisms and patterns of forest CS under different geographical and ecological conditions. This helps to develop more effective forest conservation and restoration strategies to address the challenges of global climate change and ecological crisis. Therefore, this study used random forest regression and structural equation modeling to select 14 latent variables based on 19,587 samples, including climate factor (CF), site environment (SC), human activity (HA) interference, and ecological engineering (EE), to study the key influencing factors and dominant driving pathways of forest CS change. The results indicate that forest restoration in karst areas is the main source of changes in vegetation carbon sequestration (VCS). Farmland (64.60 %), shrubs (27.83 %), and grasslands (7.57 %) were the main land types contributing to the transition to forest restoration. The trend of forest vegetation increase in karst ecologically fragile areas will gradually reach a stable state as the forest area saturates. Ecological engineering is the most direct and main driving force of forest vegetation restoration (VR) in karst areas, with an impact path coefficient of 0.62 (p < 0.01). Secondly, it's also directly influenced by anthropogenic interventions and climate change and indirectly negatively affected by the site environment. The order of impact was as follows: EE > HA > CF > SC. Although climatic conditions also had a positive impact on forest VR (0.093, p < 0.01), the short-term impact on CS changes during forest restoration in karst areas was not significant. The site environment indirectly affected the CS change of forest vegetation in karst areas by influencing human activities and then affecting the VR effect, with an impact path coefficient of −0.13 (p < 0.01). The results help us to understand more deeply the process of forest VR and CS changes in karst areas and the influence pathways of the driving factors, which can provide a reference basis for the regulation of CS in forest management.
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喀斯特生态脆弱区与非喀斯特地区森林CS增加影响途径与驱动机制的量化研究
目前,西南喀斯特地区森林固碳增加的影响路径和驱动机制尚未明确量化。量化森林CS增加的影响途径和驱动机制是一个复杂而重要的研究领域。通过对比典型的喀斯特和非喀斯特地区,我们可以更深入地了解不同地理和生态条件下森林CS的机制和模式。这有助于制定更有效的森林保护和恢复战略,以应对全球气候变化和生态危机的挑战。因此,本研究利用随机森林回归和结构方程模型,选取气候因子(CF)、立地环境(SC)、人类活动(HA)干扰和生态工程(EE)等14个潜在变量,基于19587个样本,研究森林CS变化的关键影响因素和主导驱动途径。结果表明,喀斯特地区森林恢复是植被固碳变化的主要来源。农田(64.60%)、灌木(27.83%)和草地(7.57%)是向森林恢复过渡的主要土地类型。喀斯特生态脆弱区森林植被增加的趋势将随着森林面积的饱和而逐渐达到稳定状态。生态工程是喀斯特地区森林植被恢复最直接、最主要的驱动力,影响路径系数为0.62 (p <;0.01)。其次,它还受到人为干预和气候变化的直接影响,以及场地环境的间接负面影响。影响顺序为:EE >;哈哈比;CF祝辞尽管气候条件对森林VR也有正向影响(0.093,p <;0.01),对喀斯特地区森林恢复过程中CS变化的短期影响不显著。立地环境通过影响人类活动,进而影响VR效应,间接影响喀斯特地区森林植被的CS变化,影响路径系数为- 0.13 (p <;0.01)。研究结果有助于我们更深入地了解喀斯特地区森林VR和CS的变化过程及其驱动因素的影响途径,为森林经营中CS的调控提供参考依据。
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来源期刊
Ecological Engineering
Ecological Engineering 环境科学-工程:环境
CiteScore
8.00
自引率
5.30%
发文量
293
审稿时长
57 days
期刊介绍: Ecological engineering has been defined as the design of ecosystems for the mutual benefit of humans and nature. The journal is meant for ecologists who, because of their research interests or occupation, are involved in designing, monitoring, or restoring ecosystems, and can serve as a bridge between ecologists and engineers. Specific topics covered in the journal include: habitat reconstruction; ecotechnology; synthetic ecology; bioengineering; restoration ecology; ecology conservation; ecosystem rehabilitation; stream and river restoration; reclamation ecology; non-renewable resource conservation. Descriptions of specific applications of ecological engineering are acceptable only when situated within context of adding novelty to current research and emphasizing ecosystem restoration. We do not accept purely descriptive reports on ecosystem structures (such as vegetation surveys), purely physical assessment of materials that can be used for ecological restoration, small-model studies carried out in the laboratory or greenhouse with artificial (waste)water or crop studies, or case studies on conventional wastewater treatment and eutrophication that do not offer an ecosystem restoration approach within the paper.
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