Modeling Leaf Optical Properties:prospect

S. Jacquemoud, S. Ustin
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引用次数: 11

Abstract

Introduction Higher plants have proliferated a wide range of internal leaf structures, and yet they demonstrate ecological convergences in similar ecosystems, which are widely interpreted to indicate evolutionary constraints on optimized leaf properties. Plant leaves are the primary photosynthesizing organs, significantly affecting important planetary biogeochemical cycles. The mechanisms of how leaf chemistry, structure and orientation interacts with the light environment, however, remains incompletely understood. Leaf optical properties, have been extensively studied for 150 years, although primarily for Angiosperms. It is well established that the reflectance and transmission spectrum of leaves is a function of both the concentration of light absorbing compounds (chlorophylls, carotenoids, water, cellulose, lignin, starch, proteins, etc.), and the internal scattering of light that is not absorbed or absorbed less efficiently. Quantitative relationships between optical characteristics and plant biochemical properties (which themselves depend on many environmental and species factors), have been established empirically, such as response to leaf aging or environmental stresses, which are well known to reduce chlorophyll content, which in turn, increases both the reflectance and transmittance in the visible spectrum. More recently, radiative transfer models of leaf biophysical processes have been used to directly estimate biochemical composition and structural characteristics. An extensive review of the literature, and available optical models is available ONLINE.
叶片光学特性建模:展望
高等植物具有广泛的内部叶片结构,但它们在相似的生态系统中表现出生态趋同,这被广泛解释为表明优化叶片特性的进化约束。植物叶片是光合作用的主要器官,对重要的行星生物地球化学循环具有重要影响。然而,叶片的化学、结构和取向如何与光环境相互作用的机制仍然不完全清楚。叶的光学特性,已被广泛研究了150年,虽然主要是被子植物。已经确定,叶片的反射光谱和透射光谱是吸收光的化合物(叶绿素、类胡萝卜素、水、纤维素、木质素、淀粉、蛋白质等)的浓度和未被吸收或吸收效率较低的光的内部散射的函数。光学特性与植物生化特性之间的定量关系(其本身取决于许多环境和物种因素)已经建立了经验,例如对叶片老化或环境胁迫的响应,众所周知,这些特性会降低叶绿素含量,从而增加可见光谱中的反射率和透射率。最近,叶片生物物理过程的辐射转移模型被用于直接估计生物化学组成和结构特征。广泛的文献回顾和可用的光学模型可在线获得。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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