Wagner Heiko, Fanesi Andrea, Wilhelm Christian
Leipzig University, Institute of Biology, Department of Plant Physiology, Johannisallee 21-23, D-04103 Leipzig, Germany.
Leipzig University, Institute of Biology, Department of Plant Physiology, Johannisallee 21-23, D-04103 Leipzig, Germany.
J Plant Physiol. 2016 Sep 20;203:127-134. doi: 10.1016/j.jplph.2016.05.018. Epub 2016 Jun 16.
Global warming alters species composition and function of freshwater ecosystems. However, the impact of temperature on primary productivity is not sufficiently understood and water quality models need to be improved in order to assess the quantitative and qualitative changes of aquatic communities. On the basis of experimental data, we demonstrate that the commonly used photosynthetic and water chemistry parameters alone are not sufficient for modeling phytoplankton growth under changing temperature regimes. We present some new aspects of the acclimation process with respect to temperature and how contrasting responses may be explained by a more complete physiological knowledge of the energy flow from photons to new biomass. We further suggest including additional bio-markers/traits for algal growth such as carbon allocation patterns to increase the explanatory power of such models. Although carbon allocation patterns are promising and functional cellular traits for growth prediction under different nutrient and light conditions, their predictive power still waits to be tested with respect to temperature. A great challenge for the near future will be the prediction of primary production efficiencies under the global change scenario using a uniform model for phytoplankton assemblages.
全球变暖改变了淡水生态系统的物种组成和功能。然而，温度对初级生产力的影响尚未得到充分理解，水质模型需要改进，以便评估水生群落的数量和质量变化。基于实验数据，我们证明，仅常用的光合和水化学参数不足以模拟温度变化情况下浮游植物的生长。我们提出了关于温度适应过程的一些新方面，以及如何通过对从光子到新生物量的能量流动有更完整的生理知识来解释不同的响应。我们进一步建议纳入用于藻类生长的其他生物标志物/特征，如碳分配模式，以提高此类模型的解释力。尽管碳分配模式对于预测不同养分和光照条件下的生长来说是很有前景的功能性细胞特征，但其预测能力在温度方面仍有待检验。在不久的将来，一个巨大的挑战将是使用统一模型预测全球变化情景下浮游植物群落的初级生产效率。
