Marine Science Institute, University of California, Santa Barbara, CA, USA.
Oecologia. 2012 Mar;168(3):797-806. doi: 10.1007/s00442-011-2143-5. Epub 2011 Oct 7.
Understory plant assemblages are important sources of primary production in both terrestrial and marine environments, and they may exhibit different dynamics than their overstory counterparts. For example, production within dense upper canopies is typically light-limited by shading, whereas such canopy architecture effects are likely unimportant in low-light environments, such as those inhabited by sparser understory assemblages. In these assemblages, light saturation of understory production may be common as species become limited by their photosynthetic capacity, which is adapted to low-light levels. Here we show that a simple model relating species-specific light use relationships measured in the laboratory to biomass and light levels measured in nature accurately predicts community gross primary production (GPP) in a marine understory algal community. We validate the model by comparing GPP measured in situ in enclosed chambers with model estimates for the same incubations. Model estimates of GPP explained 70% of the variation in the measured estimates. The results show that GPP was accurately estimated by simple addition of the photosynthetic capacity of each species in the community based on their biomass and the available light. The difference between modeled and measured GPP did not show any relationship with community biomass or diversity, and the results suggest that diversity does not significantly affect productivity in this system. This type of model should be applicable in other environments where canopy architecture does not play a significant role in limiting photosynthesis.
林下植物组合是陆地和海洋环境中初级生产力的重要来源,它们的动态可能与上层林冠的对应物不同。例如,在茂密的上层树冠中,由于遮荫,通常会受到光照限制,而在低光照环境中,这种树冠结构的影响可能并不重要,例如在稀疏的林下组合中。在这些组合中,林下生产力的光饱和可能很常见,因为物种会受到其光合作用能力的限制,而这种能力是适应低光照水平的。在这里,我们表明,一种将实验室中测量的物种特定光利用关系与自然中测量的生物量和光照水平相关联的简单模型,可以准确预测海洋林下藻类群落的群落总初级生产力(GPP)。我们通过将封闭室中测量的原位 GPP 与相同培养物的模型估计值进行比较来验证该模型。模型估计的 GPP 解释了测量估计值的 70%的变化。结果表明,通过根据生物量和可用光照来计算群落中每个物种的光合作用能力,简单地相加就能准确估计 GPP。模型和测量的 GPP 之间的差异与群落生物量或多样性没有任何关系,结果表明,在这个系统中,多样性不会显著影响生产力。这种类型的模型应该适用于其他树冠结构对光合作用没有显著限制作用的环境中。