秦岭地区末次盛冰期以来植被动态演变及其驱动机制分析
- 收稿日期:
2025-09-23
- 网络出版日期:
2026-03-20
摘要: 【目的】秦岭地区是中国东部重要的南北地理分界带,植被类型丰富,对气候变化响应敏感。然而,该区域尚缺乏系统的植被对自然与人为因素的响应机制分析,阻碍了对秦岭地区生态环境变化和人地关系演化的理解。【方法】本研究以秦岭主峰太白山高山湖泊大爷海岩芯沉积物为载体,基于高分辨率的孢粉和炭屑指标,利用植物群落重建法与多样性指数定量重建末次盛冰期以来的植被动态,并通过CharAnalysis软件提取了火频率与火强度序列;结合研究区可靠的气候与人类活动记录,辅以炭屑重建的火活动序列,系统探讨植被对气候变化与人类活动的响应机制;进一步采用冗余分析与相关性分析等统计方法,揭示不同时间尺度各驱动因素对植被演变的贡献。【结果】研究结果表明,秦岭地区植被景观在末次盛冰期以云杉属和松属为主的针叶林,在末次冰消期演变为针阔叶混交林,植被多样性表现为明显波动;进入全新世后,植被转变为以榛属/鹅耳枥属和栎属等为主的温带落叶阔叶林,植被多样性随之明显上升;晚全新世以来,随蒿属、禾本科等草本植物扩张,土地开阔度增加,植被多样性则转为下降趋势。而火活动在末次冰消期与晚全新世均表现为高频高强度特征,分别受冷干气候与人类活动的干扰。【结论】末次盛冰期以来,秦岭植被对气候变化具有显著响应。末次盛冰期至末次冰消期,阔叶林和针叶林与温度呈现显著相关,冗余分析结果也显示温度是其主导因素。进入全新世,降水与温带落叶阔叶林的相关性高,随着东亚夏季风增强,降水成为影响植被演替的重要控制因子。自中全新世以来,人类活动开始作为重要的第三驱动因素介入,其影响力随时间推移不断增强。本研究阐明了秦岭地区植被对气候变化的响应模式以及人类活动的介入过程,为理解高山地区的植被-气候-火-人类活动的长期相互作用机制提供了重要案例。
Dynamic Evolution of Vegetation and Its Driving Mechanism in the Qinling Region since the Last Glacial Maximum
- Received Date:
2025-09-23
- Available Online:
2026-03-20
Abstract: [Objective] The Qinling Mountains serve as a crucial north-south geographical boundary in eastern China, characterized by diverse vegetation types that respond sensitively to climate change. However, systematic analyses of vegetation response mechanisms to natural and anthropogenic factors in this region are still limited, hindering a comprehensive understanding of ecological changes and human-environment interactions in the Qinling area. [Methods] This study is based on the sediment core from Daye Lake, an alpine lake on the Mount Taibai which is the highest mountains in the Qinling Mountain range. Using high-resolution pollen and charcoal records, we quantitatively reconstructed vegetation dynamics since the Last Glacial Maximum (LGM) through Biomisation and diversity indices, and extracted fire frequency and fire intensity sequences using the CharAnalysis software. We combined reliable climate and human activity records with fire activity sequences reconstructed from charcoal, this study systematically examined vegetation response mechanisms to climate change and human activities. Furthermore, statistical methods including redundancy analysis and correlation analysis reveal the contributions of various drivers to vegetation evolution across different time scales. [Results] Findings indicate that vegetation landscape in the Qinling region evolved from a coniferous forest dominated by Picea and Pinus during the LGM to a mixed coniferous-broadleaf forest during the Last Deglaciation, accompanied by pronounced fluctuations in vegetation diversity. During the Holocene, the vegetation transitioned to temperate deciduous broadleaf forests dominated by Corylus/Carpinus and Quercus, accompanied by a marked increase in vegetation diversity. The expansion of herbaceous plants such as Artemisia and Poaceae, along with land openness, occurred in the Late Holocene, while vegetation diversity showed a declining trend. Fire activity exhibited high frequency both in the Last Deglaciation and the Late Holocene, driven respectively by cold-dry climate and human activities. [Conclusion] Since the LGM, vegetation in the Qinling Mountains has shown a significant response to climate change. From the LGM to the Last Deglaciation, both broadleaf and coniferous forests showed significant correlation with temperature. Redundancy analysis confirmed temperature was the dominant factor, while fire activity promoted vegetation diversity by altering interspecific competition patterns and niche availability. However, precipitation strongly correlated with temperate deciduous broadleaf forests during the Holocene, and precipitation became a key controlling factor in vegetation succession with the intensification of the East Asian summer monsoon. Since the Middle Holocene, human activities have emerged as a third significant driving factor, with their influence steadily increasing over time. This study systematically reveals the response patterns of Qinling vegetation to climate change and the process of human intervention, providing a crucial case study for understanding the long-term interaction mechanisms among vegetation, climate, fire, and human activities in alpine regions.