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231224s2017 xx |||||o 00| ||eng c |
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|a 10.1111/nph.13853
|2 doi
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|a pubmed24n0858.xml
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|a (NLM)26877108
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|a DE-627
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|c DE-627
|e rakwb
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|a eng
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|a Chavana-Bryant, Cecilia
|e verfasserin
|4 aut
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| 245 |
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|a Leaf aging of Amazonian canopy trees as revealed by spectral and physiochemical measurements
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|c 2017
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|a Text
|b txt
|2 rdacontent
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|a ƒaComputermedien
|b c
|2 rdamedia
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|a ƒa Online-Ressource
|b cr
|2 rdacarrier
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|a Date Completed 16.02.2018
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|a Date Revised 16.03.2022
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|a published: Print-Electronic
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|a CommentIn: New Phytol. 2017 May;214(3):903-904. - PMID 28397361
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|a Citation Status MEDLINE
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|a © 2016 The Authors. New Phytologist © 2016 New Phytologist Trust.
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|a Leaf aging is a fundamental driver of changes in leaf traits, thereby regulating ecosystem processes and remotely sensed canopy dynamics. We explore leaf reflectance as a tool to monitor leaf age and develop a spectra-based partial least squares regression (PLSR) model to predict age using data from a phenological study of 1099 leaves from 12 lowland Amazonian canopy trees in southern Peru. Results demonstrated monotonic decreases in leaf water (LWC) and phosphorus (Pmass ) contents and an increase in leaf mass per unit area (LMA) with age across trees; leaf nitrogen (Nmass ) and carbon (Cmass ) contents showed monotonic but tree-specific age responses. We observed large age-related variation in leaf spectra across trees. A spectra-based model was more accurate in predicting leaf age (R2 = 0.86; percent root mean square error (%RMSE) = 33) compared with trait-based models using single (R2 = 0.07-0.73; %RMSE = 7-38) and multiple (R2 = 0.76; %RMSE = 28) predictors. Spectra- and trait-based models established a physiochemical basis for the spectral age model. Vegetation indices (VIs) including the normalized difference vegetation index (NDVI), enhanced vegetation index 2 (EVI2), normalized difference water index (NDWI) and photosynthetic reflectance index (PRI) were all age-dependent. This study highlights the importance of leaf age as a mediator of leaf traits, provides evidence of age-related leaf reflectance changes that have important impacts on VIs used to monitor canopy dynamics and productivity and proposes a new approach to predicting and monitoring leaf age with important implications for remote sensing
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|a Journal Article
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|a canopy trees
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|a leaf age
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|a leaf lifecycle
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|a leaf spectral properties
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|a leaf traits
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| 650 |
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|a phenology
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|a tropical forests
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| 650 |
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|a vegetation indices (VIs)
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|a Malhi, Yadvinder
|e verfasserin
|4 aut
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|a Wu, Jin
|e verfasserin
|4 aut
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| 700 |
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|a Asner, Gregory P
|e verfasserin
|4 aut
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| 700 |
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|a Anastasiou, Athanasios
|e verfasserin
|4 aut
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| 700 |
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|a Enquist, Brian J
|e verfasserin
|4 aut
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| 700 |
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|a Cosio Caravasi, Eric G
|e verfasserin
|4 aut
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| 700 |
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|a Doughty, Christopher E
|e verfasserin
|4 aut
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| 700 |
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|a Saleska, Scott R
|e verfasserin
|4 aut
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| 700 |
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|a Martin, Roberta E
|e verfasserin
|4 aut
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|a Gerard, France F
|e verfasserin
|4 aut
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| 773 |
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|i Enthalten in
|t The New phytologist
|d 1979
|g 214(2017), 3 vom: 01. Mai, Seite 1049-1063
|w (DE-627)NLM09818248X
|x 1469-8137
|7 nnns
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| 773 |
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|g volume:214
|g year:2017
|g number:3
|g day:01
|g month:05
|g pages:1049-1063
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|u http://dx.doi.org/10.1111/nph.13853
|3 Volltext
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