State Key Laboratory of Efficient Production of Forest Resources, Beijing Forestry University, Beijing, China; Research Center of Forest Management Engineering of State Forestry and Grassland Administration, Beijing Forestry University, Beijing, China.
State Key Laboratory of Efficient Production of Forest Resources, Beijing Forestry University, Beijing, China; Research Center of Forest Management Engineering of State Forestry and Grassland Administration, Beijing Forestry University, Beijing, China.
J Environ Manage. 2024 Dec;371:123243. doi: 10.1016/j.jenvman.2024.123243. Epub 2024 Nov 6.
Addressing the escalating challenges of climate change necessitates a comprehensive understanding of the factors influencing carbon sequestration rates (CSRs) in forest ecosystems. Although the impact of various biotic factors, environmental, and anthropogenic factors on CSRs over different time scales is well recognized, their precise roles remain poorly defined. This study aims to clarify the mechanistic relationships between CSRs and these factors in large-scale natural temperate forests in northeastern China. We employed linear mixed-effects models and piecewise structural equation models were to analyze data from 310 vegetation plots, assessing the effects of biotic factors (including multidimensional diversity, structural diversity, and community-weighted mean (CWM) trait values) and abiotic factors (climate, topography, and anthropogenic disturbances) across different forest types and successional stages. Our analysis tested a series of hypotheses to identify the principal drivers of forest CSRs. The results indicate that while functional composition and standard environmental factors such as mean annual temperature and slope are significant, their influence is markedly less than that of biodiversity (encompassing multidimensional and structural diversity) and anthropogenic disturbance (as measured by the Human Modification Index). These findings support the dominance of the niche complementarity theory and the moderate disturbance hypothesis, with their importance increasing over time. Furthermore, this study advocates for forest management strategies that are specifically tailored to the unique characteristics of mixed and dense forests at different stages of succession. By elucidating the complex relationships between ecological variables and CSRs, our findings provide critical insights for the development of effective strategies aimed at optimizing forest carbon sequestration. This study underscores the necessity of integrating sustainable forest management with the conservation of ecological biodiversity.
应对气候变化带来的挑战日益加剧，需要全面了解影响森林生态系统碳固存率（CSRs）的因素。尽管各种生物因素、环境和人为因素对不同时间尺度上 CSRs 的影响已得到广泛认可，但它们的确切作用仍未得到明确界定。本研究旨在阐明中国东北地区大型天然温带森林中 CSRs 与这些因素之间的机制关系。我们采用线性混合效应模型和分段结构方程模型，对来自 310 个植被样方的数据进行分析，评估了生物因素（包括多维多样性、结构多样性和群落加权平均（CWM）特征值）和非生物因素（气候、地形和人为干扰）对不同森林类型和演替阶段 CSRs 的影响。我们的分析检验了一系列假设，以确定森林 CSRs 的主要驱动因素。结果表明，虽然功能组成和标准环境因素（如年平均温度和坡度）很重要，但它们的影响明显小于生物多样性（包括多维和结构多样性）和人为干扰（用人为干扰指数衡量）。这些发现支持了生态位互补理论和中度干扰假说的主导地位，其重要性随时间的推移而增加。此外，本研究主张采用专门针对不同演替阶段的混合和密集森林独特特征的森林管理策略。通过阐明生态变量与 CSRs 之间的复杂关系，我们的研究结果为制定旨在优化森林碳固存的有效策略提供了重要的参考依据。本研究强调了将可持续森林管理与保护生态生物多样性相结合的必要性。
