Seasonal variability of multiple leaf traits captured by leaf spectroscopy at two temperate deciduous forests
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- 作者：Xi Yanga ; b ; xi_yang@brown.edu" class="auth_mail" title="E-mail the corresponding author ; Jianwu Tangb ; jtang@mbl.edu" class="auth_mail" title="E-mail the corresponding author ; John F. Mustarda ; Jin Wuc ; e ; Kaiguang Zhaod ; Shawn Serbine ; Jung-Eun Leea
- 关键词：Phenology ; Leaf physiology ; Foliar chemistry ; Carbon cycle ; Chlorophyll ; Carotenoids ; Nitrogen ; Leaf mass per area ; Partial least square regression (PLSR) ; Sun and shaded leaves
- 刊名：Remote Sensing of Environment
- 出版年：2016
- 出版时间：15 June 2016
- 年：2016
- 卷：179
- 期：Complete
- 页码：1-12
- 全文大小：1911 K
文摘
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We collected 7 leaf traits and spectra weekly for two entire growing seasons.
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We observed trait-specific temporal patterns and variations in leaf spectra.
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Leaf spectra analyzed using the PLSR approach track the seasonality of leaf traits.
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PLSR model shows robustness across time, sites, and light environments.
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We offered suggestions on field sampling interval.