Mäkelä Annikki, Valentine Harry T, Helmisaari Heljä-Sisko
Department of Forest Ecology, PO Box 27, 00014 University of Helsinki, Finland.
USDA Forest Service, 271 Mast Road, Durham, NH 03824, USA.
New Phytol. 2008;180(1):114-123. doi: 10.1111/j.1469-8137.2008.02558.x. Epub 2008 Jul 10.
Nitrogen (N) is essential for plant production, but N uptake imposes carbon (C) costs through maintenance respiration and fine-root construction, suggesting that an optimal C:N balance can be found. Previous studies have elaborated this optimum under exponential growth; work on closed canopies has focused on foliage only. Here, the optimal co-allocation of C and N to foliage, fine roots and live wood is examined in a closed forest stand. Optimal co-allocation maximizes net primary productivity (NPP) as constrained by stand-level C and N balances and the pipe model. Photosynthesis and maintenance respiration increase with foliar nitrogen concentration ([N]), and stand-level photosynthesis and N uptake saturate at high foliage and fine-root density. Optimal NPP increases almost linearly from low to moderate N availability, saturating at high N. Where N availability is very low or very high, the system resembles a functional balance with a steady foliage [N]; in between, [N] increases with N availability. Carbon allocation to fine roots decreases, allocation to wood increases, and allocation to foliage remains stable with increasing N availability. The predicted relationships between biomass density and foliage [N] are in reasonable agreement with data from coniferous stands across Finland. All predictions agree with our qualitative understanding of N effects on growth.
氮(N)对植物生长至关重要,但氮的吸收会通过维持呼吸作用和细根构建产生碳(C)成本,这表明可以找到最佳的碳氮平衡。先前的研究已经阐述了指数增长下的这种最优状态;关于封闭冠层的研究仅关注叶片。在此,研究了在封闭林分中碳和氮在叶片、细根和活木之间的最优协同分配。最优协同分配在林分水平的碳氮平衡和管道模型的约束下使净初级生产力(NPP)最大化。光合作用和维持呼吸作用随叶片氮浓度([N])增加,林分水平的光合作用和氮吸收在高叶片和细根密度时达到饱和。最优NPP从低氮有效性到中等氮有效性几乎呈线性增加,在高氮时达到饱和。当氮有效性非常低或非常高时,系统类似于具有稳定叶片[N]的功能平衡;在两者之间,[N]随氮有效性增加。随着氮有效性增加,分配到细根的碳减少,分配到木材的碳增加,分配到叶片的碳保持稳定。预测的生物量密度与叶片[N]之间的关系与芬兰针叶林分的数据合理一致。所有预测都与我们对氮对生长影响的定性理解一致。