Kruger Eric L, Volin John C
Department of Forest Ecology and Management, University of Wisconsin-Madison, 1630 Linden Drive, Madison, WI 53706 USA.
Department of Biological Sciences, Florida Atlantic University, 2912 College Avenue, Davie, FL 33314 USA.
Funct Plant Biol. 2006 May;33(5):421-429. doi: 10.1071/FP05310.
Technological advances during the past several decades have greatly enhanced our ability to measure leaf photosynthesis virtually anywhere and under any condition. Associated with the resulting proliferation of gas-exchange data is a lingering uncertainty regarding the importance of such measurements when it comes to explaining intrinsic causes of plant growth variation. Accordingly, in this paper we rely on a compilation of data to address the following questions: from both statistical and mechanistic standpoints, how closely does plant growth correlate with measures of leaf photosynthesis? Moreover, in this context, does the importance of leaf photosynthesis as an explanatory variable differ among growth light environments? Across a wide array of species and environments, relative growth rate (RGR) was positively correlated with daily integrals of photosynthesis expressed per unit leaf area (A), leaf mass (A), and plant mass (A). The amount of RGR variation explained by these relationships increased from 36% for the former to 93% for the latter. Notably, there was close agreement between observed RGR and that estimated from A after adjustment for theoretical costs of tissue construction. Overall, based on an analysis of growth response coefficients (GRCs), gross assimilation rate (GAR), a photosynthesis-based estimate of biomass gain per unit leaf area, explained about as much growth variation as did leaf mass ratio (LMR) and specific leaf area (SLA). Further analysis of GRCs indicated that the importance of GAR in explaining growth variation increased with increasing light intensity. Clearly, when considered in combination with other key determinants, appropriate measures of leaf gas exchange effectively capture the fundamental role of leaf photosynthesis in plant growth variation.
在过去几十年中,技术进步极大地提高了我们在几乎任何地点、任何条件下测量叶片光合作用的能力。与由此产生的气体交换数据激增相关的是,在解释植物生长变异的内在原因时,此类测量的重要性一直存在不确定性。因此,在本文中,我们依靠数据汇编来解决以下问题:从统计和机制的角度来看,植物生长与叶片光合作用测量值的关联程度如何?此外,在这种情况下,叶片光合作用作为一个解释变量的重要性在不同的生长光照环境中是否存在差异?在广泛的物种和环境中,相对生长速率(RGR)与单位叶面积(A)、叶质量(A)和植物质量(A)表示的光合作用日积分呈正相关。这些关系所解释的RGR变异量从前一种情况的36%增加到后一种情况的93%。值得注意的是,在对组织构建的理论成本进行调整后,观察到的RGR与根据A估计的RGR之间存在密切一致性。总体而言,基于对生长响应系数(GRCs)的分析,总同化率(GAR),即基于光合作用的单位叶面积生物量增益估计值,解释的生长变异量与叶质量比(LMR)和比叶面积(SLA)相当。对GRCs的进一步分析表明,GAR在解释生长变异中的重要性随着光照强度的增加而增加。显然,当与其他关键决定因素结合考虑时,适当的叶片气体交换测量有效地捕捉了叶片光合作用在植物生长变异中的基本作用。