Sources of variability in canopy reflectance and the convergent properties of plants

被引:583
作者
Ollinger, S. V. [1 ]
机构
[1] Univ New Hampshire, Complex Syst Res Ctr, Inst Study Earth Oceans & Space, Durham, NH 03824 USA
关键词
functional convergence; hyperspectral infrared imager; National Ecological Observatory Network (NEON); near infrared; plant traits; remote sensing; spectral reflectance; LEAF-AREA INDEX; DIFFERENCE VEGETATION INDEX; MESOPHYLL SURFACE-AREA; REMOTE-SENSING DATA; RADIATIVE-TRANSFER; CHLOROPHYLL CONTENT; WATER-CONTENT; SPECTRAL REFLECTANCE; INFRARED REFLECTANCE; OPTICAL-PROPERTIES;
D O I
10.1111/j.1469-8137.2010.03536.x
中图分类号
Q94 [植物学];
学科分类号
071001 ;
摘要
How plants interact with sunlight is central to the existence of life and provides a window to the functioning of ecosystems. Although the basic properties of leaf spectra have been known for decades, interpreting canopy-level spectra is more challenging because leaf-level effects are complicated by a host of stem- and canopy-level traits. Progress has been made through empirical analyses and models, although both methods have been hampered by a series of persistent challenges. Here, I review current understanding of plant spectral properties with respect to sources of uncertainty at leaf to canopy scales. I also discuss the role of evolutionary convergence in plant functioning and the difficulty of identifying individual properties among a suite of interrelated traits. A pattern that emerges suggests a synergy among the scattering effects of leaf-, stem- and canopy-level traits that becomes most apparent in the near-infrared (NIR) region. This explains the widespread and well-known importance of the NIR region in vegetation remote sensing, but presents an interesting paradox that has yet to be fully explored: that we can often gain more insight about the functioning of plants by examining wavelengths that are not used in photosynthesis than by examining those that are.
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页码:375 / 394
页数:20
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