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    浙西南针阔混交林碳、水通量季节动态及其对环境响应

    Seasonal dynamics of carbon and water fluxes and their environmental responses in coniferous-broadleaf mixed forests of Southwestern Zhejiang, China

    • 摘要: 全球气候变化背景下,森林碳水通量与水分利用效率(WUE)对气候波动具有高度敏感性,揭示其变化规律及驱动机制,对区域森林生态系统管理具有重要意义。本研究基于涡度相关法对浙西南典型中山针阔混交林生态系统碳水通量及环境因子进行监测,分析碳水通量变化与WUE对环境因子响应,揭示碳水通量与WUE动态变化及其对环境响应特征,以期为当地制定提升森林生态系统的水土保持碳汇功能提供重要科学依据。结果表明:1)2023年8月—2024年7月,浙西南典型中山针阔混交林生态系统累计固碳量705.0 g CO2/m2,全期以碳汇功能为主;2)总初级生产力(GPP)主要影响因子为气温与太阳辐射,生长季受到降水抑制,蒸散发(ET)主要影响因子为土壤温度与饱和水汽压亏缺,生长季受到降水补益;3)全期WUE为2.70 g CO2/mm H2O,表现出月度波动较大而季节差异较小特征,其主要原因是受到GPP和ET的短期气候波动影响与长期季节变化趋势之间的相互作用,此外也受到太阳辐射和生长季土壤水分的轻微抑制作用。

       

      Abstract:
      Background Under global climate change, forest carbon-water fluxes and water use efficiency (WUE) are highly sensitive to climate fluctuations, but their response mechanisms differ across ecosystem types. Southwest Zhejiang’s mid-altitude coniferous-broadleaf mixed forests are representative of the southeastern monsoon region, where temperature, radiation and precipitation show marked seasonal variations. However, the key environmental drivers of their carbon-water coupling processes and the causes of WUE’s temporal variability remain unclear, which impedes scientific management for improving soil and water conservation and carbon sink functions.
      Methods This study selected a typical mid-mountain coniferous-broadleaf mixed forest in Jingning She Autonomous county, Lishui city as the research site. The site is located at N 27.91°, E 119.67° with an altitude of 1201.5 m. From August 2023 to July 2024, an eddy covariance system mounted on a 48 m flux tower was used to monitor carbon-water fluxes and environmental factors at 30-minute intervals. The monitored carbon-water fluxes included CO2 turbulent flux and latent heat flux while the environmental factors covered air temperature (Ta), soil temperature (Ts), solar radiation (Rt), precipitation (Pr), and so on. After data quality control involving invalid data elimination and interpolation via marginal distribution sampling, correlation analysis and structural equation modeling (SEM) were applied to analyze the dynamic characteristics of carbon-water fluxes and WUE as well as their response to environmental factors.
      Results The results show that 1) The ecosystem mainly functioned as a carbon sink with a cumulative carbon sequestration of 705.0 g CO2/m2. The daily average net ecosystem exchange (NEE) in the growing season was -2.3 g/(m2·d), which was 64.3% higher in carbon absorption intensity than that in the dormant season where the daily average NEE was −1.4 g/(m2·d). The cumulative gross primary productivity (GPP) reached 3130.0 g/m2. The daily average GPP in the growing season was 11.3 g/(m2·d), 2.35 times that of the dormant season where the daily average GPP was 4.8 g/(m2·d). 2) The main influencing factors of GPP are Ta and Rt, with a significant positive correlation (P < 0.01), but it was inhibited by Pr in the growing season. The cumulative evapotranspiration (ET) was 1148.4 mm, and 888.7 mm of this amount (accounting for 77.4%) was concentrated in the growing season.The main influencing factors of ET are Ts and vapor pressure deficit (VPD) with a significant positive correlation (P < 0.01), and it was supplemented by Pr in the growing season. 3) The WUE during the entire period was 2.70 g CO2/mm H2O. It showed large monthly fluctuations ranging from 1.97 to 3.22 g CO2/mm H2O but small seasonal differences. The main reason is the interaction between the impacts of short-term climate fluctuations and long-term seasonal change trends on GPP and ET. In addition, it is slightly inhibited by Rt and soil moisture in the growing season.
      Conclusions Our study clarifies the key environmental drivers of carbon-water coupling and WUE variability in Southwest Zhejiang’s mid-altitude coniferous-broadleaf mixed forests, resolving the unclear issue of how the ecosystem’s carbon-water processes respond to climate factors. It confirms that GPP and ET are core drivers of WUE, with their regulation by Ta, Rt, Ts and Pr varying seasonally. These findings support optimizing local forest management (e.g., adjusting stand structure) to enhance soil-water conservation and carbon sink functions.

       

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