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亚热带城市森林中,每日茎生长对水分供应的响应导致碳源和碳汇解耦。

Decoupling between carbon source and sink induced by responses of daily stem growth to water availability in subtropical urban forests.

机构信息

School of Agriculture and Biology, Shanghai Jiao Tong University, 800 Dongchuan Rd., Shanghai 200240, China.

School of Agriculture and Biology, Shanghai Jiao Tong University, 800 Dongchuan Rd., Shanghai 200240, China; Shanghai Urban Forest Ecosystem Research Station, National Forestry and Grassland Administration, Shanghai 200240, China; Shanghai Yangtze River Delta Eco-Environmental Change and Management Observation and Research Station, Ministry of Science and Technology, Ministry of Education, Shanghai 200240, China.

出版信息

Sci Total Environ. 2023 Jun 15;877:162802. doi: 10.1016/j.scitotenv.2023.162802. Epub 2023 Mar 15.

Abstract

Urban forests are anticipated to offer sustainable ecosystem services, necessitating a comprehensive understanding of the ways in which trees respond to environmental changes. This study monitored stem radius fluctuations in Cinnamomum camphora and Taxodium distichum var. imbricatum trees using high-resolution dendrometers at two sites, respectively. Gross primary production (GPP) was measured using eddy-covariance techniques and aggregated to daily sums. Hourly and daily stem radius fluctuations were estimated across both species, and the responses of stems to radiation (Rg), air temperature (Tair), vapor pressure deficit (VPD), and soil humidity (SoilH) were quantified using Bayesian linear models. The diel growth patterns of the monitored trees showed similar characteristics at the species level. Results revealed that trees growth occurred primarily at night, with the lowest hourly contribution to total growth and probability for growth occurring in the afternoon. Furthermore, the Bayesian models indicated that VPD was the most important driver of daily growth and growth probability. After considering the potential constraints imposed by VPD, a modified Gompertz equation showed good performance, with R ranging from 0.94 to 0.99 for the relationship between accumulative growth and time. Bayes-based model-independent data assimilation using advanced Markov chain Monte Carlo (MCMC) algorithms provided deeper insights into nonlinear model parameterization. Finally, the quantified relationship between GPP and stem daily growth revealed that the decoupling between carbon source and sink increased with VPD. These findings provided direct empirical evidence for VPD as a key driver of daily growth patterns and raise questions about carbon neutrality accounting under future climate change given the uncertainties induced by increased water stress limitations on carbon utilization.

摘要

城市森林有望提供可持续的生态系统服务,因此需要全面了解树木对环境变化的响应方式。本研究分别在两个地点使用高分辨率树轮仪监测了樟树和落羽杉的树干半径波动。使用涡度协方差技术测量了总初级生产力(GPP),并将其聚合为日总和。估算了两个物种的每小时和每日树干半径波动,并使用贝叶斯线性模型量化了树干对辐射(Rg)、空气温度(Tair)、蒸气压亏缺(VPD)和土壤湿度(SoilH)的响应。监测树木的昼夜生长模式在物种水平上表现出相似的特征。结果表明,树木的生长主要发生在夜间,对总生长的贡献最小,生长的概率在下午最低。此外,贝叶斯模型表明 VPD 是日生长和生长概率的最重要驱动因素。在考虑 VPD 可能带来的限制后,修正的 Gompertz 方程表现出良好的性能,与时间的累积生长和关系的 R 范围为 0.94 到 0.99。使用先进的马尔可夫链蒙特卡罗(MCMC)算法的基于贝叶斯的模型独立数据同化提供了对非线性模型参数化的更深入了解。最后,GPP 和树干每日生长之间的量化关系表明,碳源和汇之间的解耦随着 VPD 的增加而增加。这些发现为 VPD 作为每日生长模式的关键驱动因素提供了直接的经验证据,并提出了在未来气候变化下关于碳中性核算的问题,因为增加的水胁迫限制了碳利用,从而增加了不确定性。

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