University of Toronto, Department of Geography, Toronto, ON, M5S 3G3, Canada.
Climate Research Division, Environment and Climate Change Canada, Toronto, ON, Canada.
Glob Chang Biol. 2017 Sep;23(9):3513-3524. doi: 10.1111/gcb.13599. Epub 2017 Jan 21.
Improving the accuracy of estimates of forest carbon exchange is a central priority for understanding ecosystem response to increased atmospheric CO levels and improving carbon cycle modelling. However, the spatially continuous parameterization of photosynthetic capacity (Vcmax) at global scales and appropriate temporal intervals within terrestrial biosphere models (TBMs) remains unresolved. This research investigates the use of biochemical parameters for modelling leaf photosynthetic capacity within a deciduous forest. Particular attention is given to the impacts of seasonality on both leaf biophysical variables and physiological processes, and their interdependent relationships. Four deciduous tree species were sampled across three growing seasons (2013-2015), approximately every 10 days for leaf chlorophyll content (Chl ) and canopy structure. Leaf nitrogen (N ) was also measured during 2014. Leaf photosynthesis was measured during 2014-2015 using a Li-6400 gas-exchange system, with A-Ci curves to model Vcmax. Results showed that seasonality and variations between species resulted in weak relationships between Vcmax normalized to 25°C (Vcmax25) and N (R = 0.62, P < 0.001), whereas Chl demonstrated a much stronger correlation with Vcmax25 (R = 0.78, P < 0.001). The relationship between Chl and N was also weak (R = 0.47, P < 0.001), possibly due to the dynamic partitioning of nitrogen, between and within photosynthetic and nonphotosynthetic fractions. The spatial and temporal variability of Vcmax25 was mapped using Landsat TM/ETM satellite data across the forest site, using physical models to derive Chl . TBMs largely treat photosynthetic parameters as either fixed constants or varying according to leaf nitrogen content. This research challenges assumptions that simple N -Vcmax25 relationships can reliably be used to constrain photosynthetic capacity in TBMs, even within the same plant functional type. It is suggested that Chl provides a more accurate, direct proxy for Vcmax25 and is also more easily retrievable from satellite data. These results have important implications for carbon modelling within deciduous ecosystems.
提高森林碳交换估计的准确性是理解生态系统对大气 CO 水平升高的响应并改进碳循环模型的核心重点。然而,在全球范围内以及陆地生物圈模型(TBM)内的适当时间间隔内,对光合能力(Vcmax)的空间连续参数化仍然没有得到解决。本研究调查了在落叶林内使用生化参数来模拟叶片光合能力的方法。特别关注季节性对叶片生物物理变量和生理过程的影响,以及它们之间的相互关系。在三个生长季节(2013-2015 年)中,对四个落叶树种进行了采样,大约每 10 天一次,以测量叶片叶绿素含量(Chl)和冠层结构。2014 年还测量了叶片氮(N)。2014-2015 年期间,使用 Li-6400 气体交换系统测量叶片光合作用,并通过 A-Ci 曲线模拟 Vcmax。结果表明,季节性和物种之间的变化导致 Vcmax 归一化为 25°C(Vcmax25)与 N 之间的关系较弱(R = 0.62,P < 0.001),而 Chl 与 Vcmax25 的相关性更强(R = 0.78,P < 0.001)。Chl 与 N 之间的关系也较弱(R = 0.47,P < 0.001),这可能是由于氮在光合和非光合部分之间的动态分配。使用陆地卫星 TM/ETM 卫星数据,通过物理模型推导 Chl,在森林站点上绘制了 Vcmax25 的空间和时间变化图。TBM 主要将光合参数视为固定常数,或者根据叶片氮含量而变化。本研究挑战了这样一种假设,即简单的 N-Vcmax25 关系可以可靠地用于约束 TBM 中的光合能力,即使在同一植物功能类型内也是如此。研究表明,Chl 是 Vcmax25 的更准确、直接的替代物,并且也更容易从卫星数据中获取。这些结果对落叶生态系统内的碳建模具有重要意义。