Seasonal variability of multiple leaf traits captured by leaf spectroscopy at two temperate deciduous forests
Abstract
Understanding the temporal patterns of leaf traits is critical in determining the seasonality and magnitude of terrestrial carbon, water, and energy fluxes. However, we lack robust and efficient ways to monitor the temporal dynamics of leaf traits. Here we assessed the potential of leaf spectroscopy to predict and monitor leaf traits across their entire life cycle at different forest sites and light environments (sunlit vs. shaded) using a weekly sampled dataset across the entire growing season at two temperate deciduous forests. In addition, the dataset includes field measured leaf-level directional-hemispherical reflectance/transmittance together with seven important leaf traits [total chlorophyll (chlorophyll a and b), carotenoids, mass-based nitrogen concentration (Nmass), mass-based carbon concentration (Cmass), and leaf mass per area (LMA)]. All leaf traits varied significantly throughout the growing season, and displayed trait-specific temporal patterns. We used a Partial Least Square Regression (PLSR) modeling approach to estimate leaf traits from spectra, and found that PLSR was able to capture the variability across time, sites, and light environments of all leaf traits investigated (R2 = 0.6–0.8 for temporal variability; R2 = 0.3–0.7 for cross-site variability; R2 = 0.4–0.8 for variability from light environments). We also tested alternative field sampling designs and found that formore »
- Authors:
-
- Brown Univ., Providence, RI (United States). Department of Earth, Environment, and Planetary Sciences; Marine Biological Laboratory, Woods Hole, MA (United States). The Ecosystems Center
- Marine Biological Laboratory, Woods Hole, MA (United States). The Ecosystems Center
- Brown Univ., Providence, RI (United States). Department of Earth, Environment, and Planetary Sciences
- Univ. of Arizona, Tucson, AZ (United States). Department of Ecology and Evolutionary Biology; Brookhaven National Lab. (BNL), Upton, NY (United States). Environmental & Climate Sciences Department
- The Ohio State University, Wooster, OH (United States). School of Environment and Natural Resources, Ohio Agricultural and Research Development Center
- Brookhaven National Lab. (BNL), Upton, NY (United States). Environmental & Climate Sciences Department
- Publication Date:
- Research Org.:
- Brookhaven National Laboratory (BNL), Upton, NY (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC), Biological and Environmental Research (BER)
- OSTI Identifier:
- 1336038
- Alternate Identifier(s):
- OSTI ID: 1359826
- Report Number(s):
- BNL-112192-2016-JA
Journal ID: ISSN 0034-4257; R&D Project: 2016-BNL-EE630EECA-Budg; KP1701000
- Grant/Contract Number:
- SC00112704; SC0006951
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Remote Sensing of Environment
- Additional Journal Information:
- Journal Volume: 179; Journal ID: ISSN 0034-4257
- Publisher:
- Elsevier
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 54 ENVIRONMENTAL SCIENCES; Phenology; Leaf physiology; Foliar chemistry; Carbon cycle; Chlorophyll; Carotenoids; Nitrogen; Leaf mass per area; Partial least square regression (PLSR); Sun and shaded leaves
Citation Formats
Yang, Xi, Tang, Jianwu, Mustard, John F., Wu, Jin, Zhao, Kaiguang, Serbin, Shawn, and Lee, Jung-Eun. Seasonal variability of multiple leaf traits captured by leaf spectroscopy at two temperate deciduous forests. United States: N. p., 2016.
Web. doi:10.1016/j.rse.2016.03.026.
Yang, Xi, Tang, Jianwu, Mustard, John F., Wu, Jin, Zhao, Kaiguang, Serbin, Shawn, & Lee, Jung-Eun. Seasonal variability of multiple leaf traits captured by leaf spectroscopy at two temperate deciduous forests. United States. https://doi.org/10.1016/j.rse.2016.03.026
Yang, Xi, Tang, Jianwu, Mustard, John F., Wu, Jin, Zhao, Kaiguang, Serbin, Shawn, and Lee, Jung-Eun. Sat .
"Seasonal variability of multiple leaf traits captured by leaf spectroscopy at two temperate deciduous forests". United States. https://doi.org/10.1016/j.rse.2016.03.026. https://www.osti.gov/servlets/purl/1336038.
@article{osti_1336038,
title = {Seasonal variability of multiple leaf traits captured by leaf spectroscopy at two temperate deciduous forests},
author = {Yang, Xi and Tang, Jianwu and Mustard, John F. and Wu, Jin and Zhao, Kaiguang and Serbin, Shawn and Lee, Jung-Eun},
abstractNote = {Understanding the temporal patterns of leaf traits is critical in determining the seasonality and magnitude of terrestrial carbon, water, and energy fluxes. However, we lack robust and efficient ways to monitor the temporal dynamics of leaf traits. Here we assessed the potential of leaf spectroscopy to predict and monitor leaf traits across their entire life cycle at different forest sites and light environments (sunlit vs. shaded) using a weekly sampled dataset across the entire growing season at two temperate deciduous forests. In addition, the dataset includes field measured leaf-level directional-hemispherical reflectance/transmittance together with seven important leaf traits [total chlorophyll (chlorophyll a and b), carotenoids, mass-based nitrogen concentration (Nmass), mass-based carbon concentration (Cmass), and leaf mass per area (LMA)]. All leaf traits varied significantly throughout the growing season, and displayed trait-specific temporal patterns. We used a Partial Least Square Regression (PLSR) modeling approach to estimate leaf traits from spectra, and found that PLSR was able to capture the variability across time, sites, and light environments of all leaf traits investigated (R2 = 0.6–0.8 for temporal variability; R2 = 0.3–0.7 for cross-site variability; R2 = 0.4–0.8 for variability from light environments). We also tested alternative field sampling designs and found that for most leaf traits, biweekly leaf sampling throughout the growing season enabled accurate characterization of the seasonal patterns. Compared with the estimation of foliar pigments, the performance of Nmass, Cmass and LMA PLSR models improved more significantly with sampling frequency. Our results demonstrate that leaf spectra-trait relationships vary with time, and thus tracking the seasonality of leaf traits requires statistical models calibrated with data sampled throughout the growing season. In conclusion, our results have broad implications for future research that use vegetation spectra to infer leaf traits at different growing stages.},
doi = {10.1016/j.rse.2016.03.026},
journal = {Remote Sensing of Environment},
number = ,
volume = 179,
place = {United States},
year = {Sat Apr 02 00:00:00 EDT 2016},
month = {Sat Apr 02 00:00:00 EDT 2016}
}
Web of Science
Works referenced in this record:
Retrieving seasonal variation in chlorophyll content of overstory and understory sugar maple leaves from leaf-level hyperspectral data
journal, October 2007
- Zhang, Yongqin; Chen, Jing M.; Thomas, Sean C.
- Canadian Journal of Remote Sensing, Vol. 33, Issue 5
Why are Sun Leaves Thicker than Shade Leaves? — Consideration based on Analyses of CO2 Diffusion in the Leaf
journal, March 2001
- Terashima, Ichiro; Miyazawa, Shin-Ichi; Hanba, Yuko T.
- Journal of Plant Research, Vol. 114, Issue 1
A simple filtered photodiode instrument for continuous measurement of narrowband NDVI and PRI over vegetated canopies
journal, March 2010
- Garrity, Steven R.; Vierling, Lee A.; Bickford, Keith
- Agricultural and Forest Meteorology, Vol. 150, Issue 3
Photosynthesis and resource distribution through plant canopies
journal, September 2007
- Niinemets, ÜLo
- Plant, Cell & Environment, Vol. 30, Issue 9
Using Imaging Spectroscopy to Study Ecosystem Processes and Properties
journal, January 2004
- Ustin, Susan L.; Roberts, Dar A.; Gamon, John A.
- BioScience, Vol. 54, Issue 6
Spectroscopic sensitivity of real-time, rapidly induced phytochemical change in response to damage
journal, February 2013
- Couture, John J.; Serbin, Shawn P.; Townsend, Philip A.
- New Phytologist, Vol. 198, Issue 1
Detection of foliage conditions and disturbance from multi-angular high spectral resolution remote sensing
journal, February 2009
- Hilker, Thomas; Coops, Nicholas C.; Coggins, Samuel B.
- Remote Sensing of Environment, Vol. 113, Issue 2
Remote analysis of biological invasion and biogeochemical change
journal, March 2005
- Asner, G. P.; Vitousek, P. M.
- Proceedings of the National Academy of Sciences, Vol. 102, Issue 12
Canopy structure and vertical patterns of photosynthesis and related leaf traits in a deciduous forest
journal, November 1993
- Ellsworth, D. S.; Reich, P. B.
- Oecologia, Vol. 96, Issue 2
Cultural, environmental and historical controls of vegetation patterns and the modern conservation setting on the island of Martha's Vineyard, USA
journal, October 2002
- Foster, David R.; Hall, Brian; Barry, Sylvia
- Journal of Biogeography, Vol. 29, Issue 10-11
Seasonality and phenology alter functional leaf traits
journal, December 2012
- McKown, Athena D.; Guy, Robert D.; Azam, M. Shofiul
- Oecologia, Vol. 172, Issue 3
Yellow flowers can decrease NDVI and EVI values: evidence from a field experiment in an alpine meadow
journal, January 2009
- Shen, Miaogen; Chen, Jin; Zhu, Xiaolin
- Canadian Journal of Remote Sensing, Vol. 35, Issue 2
A review of variable selection methods in Partial Least Squares Regression
journal, August 2012
- Mehmood, Tahir; Liland, Kristian Hovde; Snipen, Lars
- Chemometrics and Intelligent Laboratory Systems, Vol. 118
Spectroscopic determination of leaf morphological and biochemical traits for northern temperate and boreal tree species
journal, October 2014
- Serbin, Shawn P.; Singh, Aditya; McNeil, Brenden E.
- Ecological Applications, Vol. 24, Issue 7
The worldwide leaf economics spectrum
journal, April 2004
- Wright, Ian J.; Reich, Peter B.; Westoby, Mark
- Nature, Vol. 428, Issue 6985
Computer Aided Design of Experiments
journal, February 1969
- Kennard, R. W.; Stone, L. A.
- Technometrics, Vol. 11, Issue 1
Leaf development and demography explain photosynthetic seasonality in Amazon evergreen forests
journal, February 2016
- Wu, J.; Albert, L. P.; Lopes, A. P.
- Science, Vol. 351, Issue 6276
Solar-induced chlorophyll fluorescence that correlates with canopy photosynthesis on diurnal and seasonal scales in a temperate deciduous forest: Fluorescence and photosynthesis
journal, April 2015
- Yang, Xi; Tang, Jianwu; Mustard, John F.
- Geophysical Research Letters, Vol. 42, Issue 8
PROSPECT: A model of leaf optical properties spectra
journal, November 1990
- Jacquemoud, S.; Baret, F.
- Remote Sensing of Environment, Vol. 34, Issue 2
Monitoring plant condition and phenology using infrared sensitive consumer grade digital cameras
journal, January 2014
- Nijland, Wiebe; de Jong, Rogier; de Jong, Steven M.
- Agricultural and Forest Meteorology, Vol. 184
Photosynthesis and nitrogen relationships in leaves of C3 plants
journal, January 1989
- Evans, John R.
- Oecologia, Vol. 78, Issue 1
An introduction to the NASA Hyperspectral InfraRed Imager (HyspIRI) mission and preparatory activities
journal, September 2015
- Lee, Christine M.; Cable, Morgan L.; Hook, Simon J.
- Remote Sensing of Environment, Vol. 167
NIH Image to ImageJ: 25 years of image analysis
journal, June 2012
- Schneider, Caroline A.; Rasband, Wayne S.; Eliceiri, Kevin W.
- Nature Methods, Vol. 9, Issue 7
Leaf chemical and spectral diversity in Australian tropical forests
journal, January 2009
- Asner, Gregory P.; Martin, Roberta E.; Ford, Andrew J.
- Ecological Applications, Vol. 19, Issue 1
Observing terrestrial ecosystems and the carbon cycle from space
journal, February 2015
- Schimel, David; Pavlick, Ryan; Fisher, Joshua B.
- Global Change Biology, Vol. 21, Issue 5
A new, Automated, Multiangular Radiometer Instrument for Tower-Based Observations of Canopy Reflectance (Amspec ii)
journal, August 2010
- Hilker, Thomas; Nesic, Zoran; Coops, Nicholas C.
- Instrumentation Science & Technology, Vol. 38, Issue 5
Seasonal and interannual variability of photosynthetic capacity in relation to leaf nitrogen in a deciduous forest plantation in northern Italy
journal, March 2005
- Grassi, G.; Vicinelli, E.; Ponti, F.
- Tree Physiology, Vol. 25, Issue 3
Retrieval of foliar information about plant pigment systems from high resolution spectroscopy
journal, September 2009
- Ustin, Susan L.; Gitelson, A. A.; Jacquemoud, Stéphane
- Remote Sensing of Environment, Vol. 113
Characterizing canopy biochemistry from imaging spectroscopy and its application to ecosystem studies
journal, September 2009
- Kokaly, Raymond F.; Asner, Gregory P.; Ollinger, Scott V.
- Remote Sensing of Environment, Vol. 113
PLS-regression: a basic tool of chemometrics
journal, October 2001
- Wold, Svante; Sjöström, Michael; Eriksson, Lennart
- Chemometrics and Intelligent Laboratory Systems, Vol. 58, Issue 2
Hyperspectral remote sensing of plant biochemistry using Bayesian model averaging with variable and band selection
journal, May 2013
- Zhao, Kaiguang; Valle, Denis; Popescu, Sorin
- Remote Sensing of Environment, Vol. 132
Comparative Relationships between Some Red Edge Parameters and Seasonal Leaf Chlorophyll Concentrations
journal, March 1995
- Belanger, M. J.; Miller, J. R.; Boyer, M. G.
- Canadian Journal of Remote Sensing, Vol. 21, Issue 1
Leaf life span and nutrient resorption as determinants of plant nutrient conservation in temperate-arctic regions
journal, July 1999
- Eckstein, R. L.; Karlsson, P. S.; Weih, M.
- New Phytologist, Vol. 143, Issue 1
TRY - a global database of plant traits: TRY - A GLOBAL DATABASE OF PLANT TRAITS
journal, June 2011
- Kattge, J.; DÍAz, S.; Lavorel, S.
- Global Change Biology, Vol. 17, Issue 9
Variation in foliar nitrogen and albedo in response to nitrogen fertilization and elevated CO2
journal, February 2012
- Wicklein, Haley F.; Ollinger, Scott V.; Martin, Mary E.
- Oecologia, Vol. 169, Issue 4
Optimizing spectral indices and chemometric analysis of leaf chemical properties using radiative transfer modeling
journal, October 2011
- Féret, Jean-Baptiste; François, Christophe; Gitelson, Anatoly
- Remote Sensing of Environment, Vol. 115, Issue 10
Causes and consequences of variation in leaf mass per area (LMA): a meta‐analysis
journal, April 2009
- Poorter, Hendrik; Niinemets, Ülo; Poorter, Lourens
- New Phytologist, Vol. 182, Issue 3
Remote sensing of foliar chemistry
journal, December 1989
- Curran, Paul J.
- Remote Sensing of Environment, Vol. 30, Issue 3
Spectral and chemical analysis of tropical forests: Scaling from leaf to canopy levels
journal, October 2008
- Asner, G.; Martin, R.
- Remote Sensing of Environment, Vol. 112, Issue 10
Reconciling leaf physiological traits and canopy flux data: Use of the TRY and FLUXNET databases in the Community Land Model version 4: COMMUNITY LAND MODEL CANOPY SCALING
journal, June 2012
- Bonan, Gordon B.; Oleson, Keith W.; Fisher, Rosie A.
- Journal of Geophysical Research: Biogeosciences, Vol. 117, Issue G2
Regional-scale phenology modeling based on meteorological records and remote sensing observations: REGIONAL PHENOLOGY MODELING
journal, September 2012
- Yang, Xi; Mustard, John F.; Tang, Jianwu
- Journal of Geophysical Research: Biogeosciences, Vol. 117, Issue G3
Testing the performance of a novel spectral reflectance sensor, built with light emitting diodes (LEDs), to monitor ecosystem metabolism, structure and function
journal, December 2010
- Ryu, Youngryel; Baldocchi, Dennis D.; Verfaillie, Joseph
- Agricultural and Forest Meteorology, Vol. 150, Issue 12
Photoperiodic regulation of the seasonal pattern of photosynthetic capacity and the implications for carbon cycling
journal, May 2012
- Bauerle, W. L.; Oren, R.; Way, D. A.
- Proceedings of the National Academy of Sciences, Vol. 109, Issue 22
Relationships between leaf pigment content and spectral reflectance across a wide range of species, leaf structures and developmental stages
journal, August 2002
- Sims, Daniel A.; Gamon, John A.
- Remote Sensing of Environment, Vol. 81, Issue 2-3
Spatial and seasonal variability of photosynthetic parameters and their relationship to leaf nitrogen in a deciduous forest
journal, May 2000
- Wilson, K. B.; Baldocchi, D. D.; Hanson, P. J.
- Tree Physiology, Vol. 20, Issue 9
The EnMAP Spaceborne Imaging Spectroscopy Mission for Earth Observation
journal, July 2015
- Guanter, Luis; Kaufmann, Hermann; Segl, Karl
- Remote Sensing, Vol. 7, Issue 7
Cross-scalar satellite phenology from ground, Landsat, and MODIS data
journal, August 2007
- Fisher, Jeremy I.; Mustard, John F.
- Remote Sensing of Environment, Vol. 109, Issue 3
Death from drought in tropical forests is triggered by hydraulics not carbon starvation
journal, November 2015
- Rowland, L.; da Costa, A. C. L.; Galbraith, D. R.
- Nature, Vol. 528, Issue 7580
An evaluation of noninvasive methods to estimate foliar chlorophyll content
journal, January 2002
- Richardson, Andrew D.; Duigan, Shane P.; Berlyn, Graeme P.
- New Phytologist, Vol. 153, Issue 1
Leaf age and seasonal effects on light, water, and nitrogen use efficiency in a California shrub
journal, February 1983
- Field, C.; Mooney, H. A.
- Oecologia, Vol. 56, Issue 2-3
Seasonal patterns of foliar reflectance in relation to photosynthetic capacity and color index in two co-occurring tree species, Quercus rubra and Betula papyrifera
journal, July 2012
- Dillen, Sophie Y.; de Beeck, Maarten Op; Hufkens, Koen
- Agricultural and Forest Meteorology, Vol. 160
Net Exchange of CO2 in a Mid-Latitude Forest
journal, May 1993
- Wofsy, S. C.; Goulden, M. L.; Munger, J. W.
- Science, Vol. 260, Issue 5112
Synergies between VSWIR and TIR data for the urban environment: An evaluation of the potential for the Hyperspectral Infrared Imager (HyspIRI) Decadal Survey mission
journal, February 2012
- Roberts, Dar A.; Quattrochi, Dale A.; Hulley, Glynn C.
- Remote Sensing of Environment, Vol. 117
Mechanistic scaling of ecosystem function and dynamics in space and time: Ecosystem Demography model version 2
journal, January 2009
- Medvigy, D.; Wofsy, S. C.; Munger, J. W.
- Journal of Geophysical Research, Vol. 114, Issue G1
Changes in Chlorophyll and Carotenoid Content, Specific leaf area and dry Weight Fraction in Sitka Spruce, in Response to Shading and Season
journal, September 1977
- Lewandowska, M.; Jarvis, P. G.
- New Phytologist, Vol. 79, Issue 2
Harvesting sunlight safely
journal, January 2000
- Demmig-Adams, Barbara; Adams, William W.
- Nature, Vol. 403, Issue 6768
Effects of seasonal variation of photosynthetic capacity on the carbon fluxes of a temperate deciduous forest: SEASONALITY OF PHOTOSYNTHETIC CAPACITY
journal, December 2013
- Medvigy, David; Jeong, Su-Jong; Clark, Kenneth L.
- Journal of Geophysical Research: Biogeosciences, Vol. 118, Issue 4
Beyond leaf color: Comparing camera-based phenological metrics with leaf biochemical, biophysical, and spectral properties throughout the growing season of a temperate deciduous forest: Seasonality of leaf properties
journal, March 2014
- Yang, Xi; Tang, Jianwu; Mustard, John F.
- Journal of Geophysical Research: Biogeosciences, Vol. 119, Issue 3
Works referencing / citing this record:
FluoSpec 2—An Automated Field Spectroscopy System to Monitor Canopy Solar-Induced Fluorescence
journal, June 2018
- Yang, Xi; Shi, Hanyu; Stovall, Atticus
- Sensors, Vol. 18, Issue 7
Visible and near-infrared hyperspectral indices explain more variation in lower-crown leaf nitrogen concentrations in autumn than in summer
journal, November 2019
- Wheeler, Kathryn I.; Levia, Delphis F.; Vargas, Rodrigo
- Oecologia, Vol. 192, Issue 1
Field crop phenomics: enabling breeding for radiation use efficiency and biomass in cereal crops
journal, April 2019
- Furbank, Robert T.; Jimenez‐Berni, Jose A.; George‐Jaeggli, Barbara
- New Phytologist, Vol. 223, Issue 4
Hyperspectral Measurement of Seasonal Variation in the Coverage and Impacts of an Invasive Grass in an Experimental Setting
journal, May 2018
- Guo, Yuxi; Graves, Sarah; Flory, S.
- Remote Sensing, Vol. 10, Issue 5
From the Arctic to the tropics: multibiome prediction of leaf mass per area using leaf reflectance
journal, September 2019
- Serbin, Shawn P.; Wu, Jin; Ely, Kim S.
- New Phytologist, Vol. 224, Issue 4
Evaluation of Sensor and Environmental Factors Impacting the Use of Multiple Sensor Data for Time-Series Applications
journal, October 2018
- Rengarajan, Rajagopalan; Schott, John
- Remote Sensing, Vol. 10, Issue 11
Hyperspectral reflectance as a tool to measure biochemical and physiological traits in wheat
journal, December 2017
- Silva-Perez, Viridiana; Molero, Gemma; Serbin, Shawn P.
- Journal of Experimental Botany, Vol. 69, Issue 3
Assessing durum wheat ear and leaf metabolomes in the field through hyperspectral data
journal, January 2020
- Vergara‐Diaz, Omar; Vatter, Thomas; Kefauver, Shawn Carlisle
- The Plant Journal, Vol. 102, Issue 3
A roadmap for improving the representation of photosynthesis in Earth system models
journal, November 2016
- Rogers, Alistair; Medlyn, Belinda E.; Dukes, Jeffrey S.
- New Phytologist, Vol. 213, Issue 1
Seasonal responses of photosynthetic parameters in maize and sunflower and their relationship with leaf functional traits
journal, January 2019
- Miner, Grace L.; Bauerle, William L.
- Plant, Cell & Environment, Vol. 42, Issue 5
Biomimetic Material Simulating Solar Spectrum Reflection Characteristics of Yellow Leaf
journal, July 2018
- Xu, Kai; Lin, Yang; Wei, Xuezhong
- Journal of Bionic Engineering, Vol. 15, Issue 4