Spectroscopic determination of leaf morphological and biochemical traits for northern temperate and boreal tree species.

  title={Spectroscopic determination of leaf morphological and biochemical traits for northern temperate and boreal tree species.},
  author={Shawn Paul Serbin and Aditya Singh and Brenden E. McNeil and Clayton C. Kingdon and Philip A. Townsend},
  journal={Ecological applications : a publication of the Ecological Society of America},
  volume={24 7},
  • S. SerbinAditya Singh P. Townsend
  • Published 1 October 2014
  • Environmental Science
  • Ecological applications : a publication of the Ecological Society of America
The morphological and biochemical properties of plant canopies are strong predictors of photosynthetic capacity and nutrient cycling. Remote sensing research at the leaf and canopy scales has demonstrated the ability to characterize the biochemical status of vegetation canopies using reflectance spectroscopy, including at the leaf level and canopy level from air- and spaceborne imaging spectrometers. We developed a set of accurate and precise spectroscopic calibrations for the determination of… 

Figures and Tables from this paper

Imaging Spectroscopic Analysis of Biochemical Traits for Shrub Species in Great Basin, USA

The results demonstrate the potential for airborne imaging spectroscopy to measure shrub biochemical traits over large shrubland regions and highlight challenges when estimating biochemical traits with airborne imaging Spectrometer—Next Generation data.

High-Throughput Phenotyping of Maize Leaf Physiological and Biochemical Traits Using Hyperspectral Reflectance1[OPEN]

The hyperspectral reflectance approach to phenotyping was dramatically faster than traditional measurements, enabling over 1,000 rows to be phenotyped during midday hours over just 2 to 4 d, and offers a nondestructive method to accurately assess physiological and biochemical trait responses to environmental stress.

Near-infrared spectrometry allows fast and extensive predictions of functional traits from dry leaves and branches.

FT-NIR is an easy, fast and cheap method for the large-scale estimation of individual plant traits that was previously impossible and unlocks the potential for using herbarium material to estimate functional traits; thus advancing the knowledge of community and ecosystem functioning from local to global scales.

Reflectance spectroscopy allows rapid, accurate, and non-destructive estimates of functional traits from pressed leaves

Results show that applying spectroscopy to pressed leaves is a promising way to estimate leaf functional traits and identify species without destructive analysis, and has far-reaching implications for capturing the wide range of functional and taxonomic information in the world’s preserved plant collections.

Spectroscopy can predict key leaf traits associated with source–sink balance and carbon–nitrogen status

The potential to retrieve key traits associated with leaf source-sink balance and carbon-nitrogen status from leaf optical properties is investigated and spectra-trait models developed to cover the trait space associated with food or biofuel crop plants are applied in a broad range of phenotyping studies.

Spectroscopic Determination of Leaf Nitrogen Concentration and Mass Per Area in Sweet Corn and Snap Bean

Rapid nondestructive measurements at leaf level of nitrogen concentration (%N) and leaf mass per area (LMA) are needed to improve crop simulation model development and calibration, and better

Spectroscopic determination of ecologically relevant plant secondary metabolites

Spectroscopy has recently emerged as an effective method to accurately characterize leaf biochemistry in living tissue through the application of chemometric approaches to foliar optical data, but



Exploring the relationships between reflectance and anatomical and biochemical properties in Quercus ilex leaves

summary Leaf anatomical parameters such as leaf mass per area (LMA) and biochemical composition can be used as indicators of leaf photosynthetic capacity. The aims of this study are to evaluate the

Leaf optical properties reflect variation in photosynthetic metabolism and its sensitivity to temperature

Fresh-leaf reflectance spectroscopy and a partial least-squares regression analysis were used to estimate key determinants of photosynthetic capacity—namely the maximum rates of RuBP carboxylation (Vcmax) and regeneration (Jmax)—measured with standard gas exchange techniques on leaves of trembling aspen and eastern cottonwood trees.

Predicting tropical plant physiology from leaf and canopy spectroscopy

An empirical model to predict sunlit, light-saturated, tropical leaf photosynthesis using leaf and simulated canopy spectra is developed and indicates the potential for this technique to be used with high-fidelity imaging spectrometers to remotely sense tropical forest canopy photosynthesis.

Taxonomy and remote sensing of leaf mass per area (LMA) in humid tropical forests.

This study indicates that remotely sensed patterns of LMA will be driven by taxonomic variation against a backdrop of environmental controls expressed at site and regional levels.

Spectroscopy of canopy chemicals in humid tropical forests

Photosynthesis and resource distribution through plant canopies.

  • U. Niinemets
  • Environmental Science
    Plant, cell & environment
  • 2007
This review demonstrates strong foliage potential for acclimation to within-canopy environmental gradients, but also highlights complex constraints on Acclimation and foliage functioning resulting from light x foliage age interactions, multiple environmental stresses, dynamic light fluctuations and species-specific leaf and shoot structural constraints.

Quantifying photosynthetic capacity and its relationship to leaf nitrogen content for global‐scale terrestrial biosphere models

This analysis uses data of qualitative traits, climate and soil to subdivide the terrestrial vegetation into functional types (PFT), and assimilates observations of carboxylation capacity, V max, and maximum photosynthesis rates into the C 3 photosynthesis model proposed by Farquhar et al.