Climate Change Data Portal
DOI | 10.1080/22797254.2023.2292154 |
Asymmetry of leaf internal structure affects PLSR modelling of anatomical traits using VIS-NIR leaf level spectra | |
Neuwirthova, Eva; Lhotakova, Zuzana; Cervena, Lucie; Lukes, Petr; Campbell, Petya; Albrechtova, Jana | |
发表日期 | 2024 |
EISSN | 2279-7254 |
起始页码 | 57 |
结束页码 | 1 |
卷号 | 57期号:1 |
英文摘要 | Leaf traits can be used to elucidate vegetation functional responses to global climate change. Pigments, water and leaf mass per area are the most used traits. However, detailed anatomical traits such as leaf thickness, the thickness of palisade and spongy parenchyma are often neglected, although they affect leaf physiological function and optical properties. Our aim was to produce partial least squares regression (PLSR) models for estimating leaf traits using biconical reflectance factor (BCRF). We established that estimation of leaf anatomical properties differs when using BCRF obtained from the upper and lower surface of the leaf. PLSR explained that 90% of the variability was based on total chlorophyll content (R2 = 0.95), spongy parenchyma to leaf thickness ratio (R2 = 0.94), equivalent water thickness (R2 = 0.93) and leaf mass per area (R2 = 0.91) or leaf thickness (R2 = 0.90). We conclude that internal asymmetry in leaf structure affects significantly leaf optical properties and should not be neglected in radiative transfer modelling at the leaf level and when upscaling leaf properties to the canopy. |
英文关键词 | Planar leaves; leaf thickness; palisade; spongy parenchyma; contact probe; two-sided reflectance; leaf optical properties; leaf traits; vegetation function |
语种 | 英语 |
WOS研究方向 | Remote Sensing |
WOS类目 | Remote Sensing |
WOS记录号 | WOS:001126901300001 |
来源期刊 | EUROPEAN JOURNAL OF REMOTE SENSING
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文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/294531 |
作者单位 | Charles University Prague; Charles University Prague; Czech Academy of Sciences; Global Change Research Centre of the Czech Academy of Sciences; University System of Maryland; University of Maryland Baltimore County; National Aeronautics & Space Administration (NASA); NASA Goddard Space Flight Center; Charles University Prague |
推荐引用方式 GB/T 7714 | Neuwirthova, Eva,Lhotakova, Zuzana,Cervena, Lucie,et al. Asymmetry of leaf internal structure affects PLSR modelling of anatomical traits using VIS-NIR leaf level spectra[J],2024,57(1). |
APA | Neuwirthova, Eva,Lhotakova, Zuzana,Cervena, Lucie,Lukes, Petr,Campbell, Petya,&Albrechtova, Jana.(2024).Asymmetry of leaf internal structure affects PLSR modelling of anatomical traits using VIS-NIR leaf level spectra.EUROPEAN JOURNAL OF REMOTE SENSING,57(1). |
MLA | Neuwirthova, Eva,et al."Asymmetry of leaf internal structure affects PLSR modelling of anatomical traits using VIS-NIR leaf level spectra".EUROPEAN JOURNAL OF REMOTE SENSING 57.1(2024). |
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