Tropical Forest Sciences Graduate Program, National Institute of Amazonian Research (INPA), Manaus, Amazonas, Brazil.
Laboratory of Biogeochemical Sciences, National Institute of Amazonian Research (INPA), Manaus, Amazonas 69067-375, Brazil.
Tree Physiol. 2022 May 9;42(5):922-938. doi: 10.1093/treephys/tpab042.
Most leaf functional trait studies in the Amazon basin do not consider ontogenetic variations (leaf age), which may influence ecosystem productivity throughout the year. When leaf age is taken into account, it is generally considered discontinuous, and leaves are classified into age categories based on qualitative observations. Here, we quantified age-dependent changes in leaf functional traits such as the maximum carboxylation rate of ribulose-1,5-biphosphate carboxylase/oxygenase (Rubisco) (Vcmax), stomatal control (Cgs%), leaf dry mass per area and leaf macronutrient concentrations for nine naturally growing Amazon tropical trees with variable phenological strategies. Leaf ages were assessed by monthly censuses of branch-level leaf demography; we also performed leaf trait measurements accounting for leaf chronological age based on days elapsed since the first inclusion in the leaf demography, not predetermined age classes. At the tree community scale, a nonlinear relationship between Vcmax and leaf age existed: young, developing leaves showed the lowest mean photosynthetic capacity, increasing to a maximum at 45 days and then decreasing gradually with age in both continuous and categorical age group analyses. Maturation times among species and phenological habits differed substantially, from 8 ± 30 to 238 ± 30 days, and the rate of decline of Vcmax varied from -0.003 to -0.065 μmol CO2 m-2 s-1 day-1. Stomatal control increased significantly in young leaves but remained constant after peaking. Mass-based phosphorus and potassium concentrations displayed negative relationships with leaf age, whereas nitrogen did not vary temporally. Differences in life strategies, leaf nutrient concentrations and phenological types, not the leaf age effect alone, may thus be important factors for understanding observed photosynthesis seasonality in Amazonian forests. Furthermore, assigning leaf age categories in diverse tree communities may not be the recommended method for studying carbon uptake seasonality in the Amazon, since the relationship between Vcmax and leaf age could not be confirmed for all trees.
大多数亚马逊流域的叶片功能特性研究都没有考虑到发育年龄(leaf age)的变化,而这一因素可能会影响整个生态系统的生产力。当考虑到叶片年龄时,通常认为其是不连续的,并根据定性观察将叶片分为不同的年龄类别。在这里,我们量化了 9 种具有不同物候策略的自然生长的亚马逊热带树种的叶片功能特性(如核酮糖-1,5-二磷酸羧化酶/加氧酶(Rubisco)的最大羧化速率(Vcmax)、气孔控制(Cgs%)、叶干物质面积比和叶宏量营养素浓度)随叶片年龄的变化。通过每月对树枝水平的叶片动态进行普查来评估叶片年龄;我们还根据自首次纳入叶片动态以来的天数来进行叶片特性测量,而不是预先设定的年龄类别,从而考虑了叶片的时间年龄。在树木群落尺度上,Vcmax 与叶片年龄之间存在非线性关系:年轻、发育中的叶片表现出最低的平均光合作用能力,在 45 天时达到最大值,然后在连续和分类年龄组分析中随着年龄的增长逐渐下降。物种之间和物候习惯的成熟时间差异很大,从 8±30 天到 238±30 天,Vcmax 的下降速率从-0.003 到-0.065μmol CO2 m-2 s-1 day-1 不等。气孔控制在年轻叶片中显著增加,但在达到峰值后保持不变。基于质量的磷和钾浓度与叶片年龄呈负相关,而氮的浓度则没有随时间变化。因此,生活策略、叶片养分浓度和物候类型的差异,而不仅仅是叶片年龄的影响,可能是理解亚马逊森林中观察到的光合作用季节性的重要因素。此外,在研究亚马逊地区的碳吸收季节性时,为不同的树木群落分配叶片年龄类别可能不是推荐的方法,因为不能为所有树木确认 Vcmax 和叶片年龄之间的关系。