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缙云山毛竹林能量通量及其环境驱动机制

Energy fluxes of Phyllostachys edulis forest in Jinyun Mountain and their environmental driving mechanisms

  • 摘要:
    目的 亚热带竹林生态系统在碳汇与水循环中占有重要地。量化水热通量对环境因子的响应,有助于优化区域地表过程模型中的竹林参数。
    方法 以重庆缙云山毛竹林为研究对象,基于涡度相关法(EC)及环境监测数据,采用线性回归、增强回归树(BRT)以及非线性拟合方法,分析2023年能量通量动态及水热通量对多因子的响应。
    结果 1)年均波文比为0.89,且生长季较低,非生长季较高;2)各能量通量基本呈单峰型日变化,峰值强度基本为夏季 > 春季 > 秋季 > 冬季,季节差异明显。同时日内白天显热通量(H)高于潜热通量(LE),夜间LE保持着较高贡献。土壤热通量(G)上午由负转正与峰值出现的时间较净辐射(Rn)延迟,但下午由正转负的时间提前;3)气候因子对水热通量的调控作用明显优于植被相关指标。多元分析表明,Rn是水热通量最主要的驱动因子,相对湿度(RH)显著抑制H,饱和水汽压差(VPD)对LE则表现为正向效应;4)气温(Ta)与H的直接关联较弱,但与风速(WS)、LEVPD均呈非线性正相关。
    结论 缙云山毛竹林能量通量具有明显的季节和日变化特征。Rn是水热通量变化最主要的影响因子,Ta表现出非线性调控作用。相较于植被生理参数,气候因子对水热通量变化的影响更强。

     

    Abstract:
    Objective Subtropical Phyllostachys edulis forests play a critical role in carbon sequestration and hydrological processes. However, the environmental controls and nonlinear response mechanisms of energy flux partitioning in P. edulis forest ecosystems remain poorly quantified, particularly in the humid regions of southwestern China. This study aims to clarify the dynamic characteristics of energy fluxes and their driving mechanisms in this typical P. edulis forest ecosystem.
    Methods Using eddy covariance observations and synchronous meteorological data collected in 2023 at the Jinyun Mountain forest ecosystem research station in Chongqing, China, this study analyzed the temporal dynamics of energy fluxes, including net radiation (Rn), sensible heat flux (H), latent heat flux (LE), and soil heat flux (G). Linear regression, boosted regression trees (BRT), and nonlinear curve fitting were applied to quantify the relative contributions and interaction effects of environmental and biological factors.
    Results 1) The P. edulis forest ecosystem in 2023 had an annual mean Bowen ratio of 0.89, with lower values during the growing season and higher values during the non-growing season. 2) Energy fluxes generally exhibited unimodal diurnal patterns, with peak intensities following the order: summer > spring > autumn > winter. G exhibited a morning phase lag behind Rn, with its peak occurring later than that of Rn. However, in the afternoon, the phase of G advanced relative to Rn. During daytime, H exceeded LE, while LE maintained relatively higher contributions at night. 3) Climatic factors predominated over vegetation-related parameters in regulating surface energy fluxes. Multivariate analysis identified Rn as the predominant driver for both H and LE. Relative humidity (RH) significantly suppressed H, while vapor pressure deficit (VPD) exerted a strong positive effect on LE. 4) Air temperature (Ta) showed a weak direct relationship with H but demonstrated nonlinear positive correlations with wind speed (WS), LE, and VPD.
    Conclusions The P. edulis forest at Jinyun Mountain shows clear seasonal and diurnal variations in energy fluxes, with LE dominating during the growing season and H dominating during the non-growing season. Rn is the main driver of energy flux changes, and Ta exhibits nonlinear regulatory effects. Compared with vegetation physiological factors, climatic factors have a stronger influence on energy fluxes.

     

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