Ewert Frank
Plant Production Systems, Wageningen University, PO Box 430, NL-6700 AK Wageningen, The Netherlands.
Ann Bot. 2004 Jun;93(6):619-27. doi: 10.1093/aob/mch101. Epub 2004 Apr 21.
The problem of increasing CO(2) concentration [CO(2)] and associated climate change has generated much interest in modelling effects of [CO(2)] on plants. While variation in growth and productivity is closely related to the amount of intercepted radiation, largely determined by leaf area index (LAI), effects of elevated [CO(2)] on growth are primarily via stimulation of leaf photosynthesis. Variability in LAI depends on climatic and growing conditions including [CO(2)] concentration and can be high, as is known for agricultural crops which are specifically emphasized in this report. However, modelling photosynthesis has received much attention and photosynthesis is often represented inadequately detailed in plant productivity models. Less emphasis has been placed on the modelling of leaf area dynamics, and relationships between plant growth, elevated [CO(2)] and LAI are not well understood. This Botanical Briefing aims at clarifying the relative importance of LAI for canopy assimilation and growth in biomass under conditions of rising [CO(2)] and discusses related implications for process-based modelling.
A simulation exercise performed for a wheat crop demonstrates recent experimental findings about canopy assimilation as affected by LAI and elevation of [CO(2)]. While canopy assimilation largely increases with LAI below canopy light saturation, effects on canopy assimilation of [CO(2)] elevation are less pronounced and tend to decline as LAI increases. Results from selected model-testing studies indicate that simulation of LAI is often critical and forms an important source of uncertainty in plant productivity models, particularly under conditions of limited resource supply.
Progress in estimating plant growth and productivity under rising [CO(2)] is unlikely to be achieved without improving the modelling of LAI. This will depend on better understanding of the processes of substrate allocation, leaf area development and senescence, and the role of LAI in controlling plant adaptation to environmental changes.
二氧化碳浓度([CO₂])上升及相关气候变化问题引发了人们对模拟[CO₂]对植物影响的浓厚兴趣。虽然生长和生产力的变化与截获辐射量密切相关,而截获辐射量很大程度上由叶面积指数(LAI)决定,但[CO₂]升高对生长的影响主要是通过刺激叶片光合作用。LAI的变异性取决于气候和生长条件,包括[CO₂]浓度,其变异性可能很大,正如本报告特别强调的农作物那样。然而,光合作用建模受到了很多关注,但在植物生产力模型中,光合作用的表现往往不够详细。叶面积动态建模受到的关注较少,植物生长、[CO₂]升高与LAI之间的关系也尚未得到很好的理解。本植物简报旨在阐明在[CO₂]上升的条件下,LAI对冠层同化和生物量生长的相对重要性,并讨论对基于过程的建模的相关影响。
对一种小麦作物进行的模拟实验展示了近期关于LAI和[CO₂]升高对冠层同化影响的实验结果。虽然在冠层光饱和以下,冠层同化量随LAI的增加而大幅增加,但[CO₂]升高对冠层同化的影响不太明显,并且随着LAI的增加而趋于下降。选定的模型测试研究结果表明,LAI的模拟通常至关重要,并且是植物生产力模型不确定性的一个重要来源,特别是在资源供应有限的条件下。
如果不改进LAI的建模,就不太可能在[CO₂]上升的情况下估计植物生长和生产力方面取得进展。这将取决于对底物分配、叶面积发育和衰老过程以及LAI在控制植物对环境变化适应中的作用有更好的理解。