Reflectance spectroscopy allows rapid, accurate and non‐destructive estimates of functional traits from pressed leaves
Published 2022 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Reflectance spectroscopy allows rapid, accurate and non‐destructive estimates of functional traits from pressed leaves
Authors
Keywords
-
Journal
Methods in Ecology and Evolution
Volume -, Issue -, Pages -
Publisher
Wiley
Online
2022-09-28
DOI
10.1111/2041-210x.13958
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- A best-practice guide to predicting plant traits from leaf-level hyperspectral data using partial least squares regression
- (2021) Angela C Burnett et al. JOURNAL OF EXPERIMENTAL BOTANY
- Spectroscopy outperforms leaf trait relationships for predicting photosynthetic capacity across different forest types
- (2021) Zhengbing Yan et al. NEW PHYTOLOGIST
- Reading light: Leaf spectra capture fine‐scale diversity of closely related, hybridizing arctic shrubs
- (2021) Lance Stasinski et al. NEW PHYTOLOGIST
- Herbaria as Big Data Sources of Plant Traits
- (2021) J. Mason Heberling INTERNATIONAL JOURNAL OF PLANT SCIENCES
- Uncertainties in measurements of leaf optical properties are small compared to the biological variation within and between individuals of European beech
- (2021) Fanny Petibon et al. REMOTE SENSING OF ENVIRONMENT
- The global distribution of grass functional traits within grassy biomes
- (2020) Emma C. Jardine et al. JOURNAL OF BIOGEOGRAPHY
- Foliar functional traits from imaging spectroscopy across biomes in eastern North America
- (2020) Zhihui Wang et al. NEW PHYTOLOGIST
- Intraspecific competition reduces plant size and quality and damage severity increases defense responses in the herbaceous perennial, Asclepias syriaca
- (2020) Abigail A. R. Kula et al. PLANT ECOLOGY
- Leaf reflectance spectra capture the evolutionary history of seed plants
- (2020) José Eduardo Meireles et al. NEW PHYTOLOGIST
- Accuracy and limitations for spectroscopic prediction of leaf traits in seasonally dry tropical environments
- (2020) Annia Susin Streher et al. REMOTE SENSING OF ENVIRONMENT
- Herbarium‐based measurements reliably estimate three functional traits
- (2020) Timothy M. Perez et al. AMERICAN JOURNAL OF BOTANY
- Developmental changes in the reflectance spectra of temperate deciduous tree leaves, and implications for thermal emissivity and leaf temperature
- (2020) Andrew D. Richardson et al. NEW PHYTOLOGIST
- Quantifying Tropical Plant Diversity Requires an Integrated Technological Approach
- (2020) Frederick C. Draper et al. TRENDS IN ECOLOGY & EVOLUTION
- Phylogenetic signatures in reflected foliar spectra of regenerating plants in Neotropical forest gaps
- (2020) Écio Souza Diniz et al. REMOTE SENSING OF ENVIRONMENT
- Spectroscopy can predict key leaf traits associated with source–sink balance and carbon–nitrogen status
- (2019) Kim S Ely et al. JOURNAL OF EXPERIMENTAL BOTANY
- From the Arctic to the tropics: multibiome prediction of leaf mass per area using leaf reflectance
- (2019) Shawn P. Serbin et al. NEW PHYTOLOGIST
- Advantages of retrieving pigment content [μg/cm2] versus concentration [%] from canopy reflectance
- (2019) Teja Kattenborn et al. REMOTE SENSING OF ENVIRONMENT
- Estimation of six leaf traits of East Asian forest tree species by leaf spectroscopy and partial least square regression
- (2019) Tatsuro Nakaji et al. REMOTE SENSING OF ENVIRONMENT
- TRY plant trait database – enhanced coverage and open access
- (2019) Jens Kattge et al. GLOBAL CHANGE BIOLOGY
- OUP accepted manuscript
- (2018) BOTANICAL JOURNAL OF THE LINNEAN SOCIETY
- Near-infrared spectrometry allows fast and extensive predictions of functional traits from dry leaves and branches
- (2018) Flávia R. C. Costa et al. ECOLOGICAL APPLICATIONS
- The unrealized potential of herbaria for global change biology
- (2018) Emily K. Meineke et al. ECOLOGICAL MONOGRAPHS
- A climosequence of chronosequences in southwestern Australia
- (2018) B. L. Turner et al. EUROPEAN JOURNAL OF SOIL SCIENCE
- Plant spectral diversity integrates functional and phylogenetic components of biodiversity and predicts ecosystem function
- (2018) Anna K. Schweiger et al. Nature Ecology & Evolution
- Using herbaria to study global environmental change
- (2018) Patricia L. M. Lang et al. NEW PHYTOLOGIST
- PROSPECT-D: Towards modeling leaf optical properties through a complete lifecycle
- (2017) J.-B. Féret et al. REMOTE SENSING OF ENVIRONMENT
- Seasonal variability of multiple leaf traits captured by leaf spectroscopy at two temperate deciduous forests
- (2016) Xi Yang et al. REMOTE SENSING OF ENVIRONMENT
- Spectroscopic determination of ecologically relevant plant secondary metabolites
- (2016) John J. Couture et al. Methods in Ecology and Evolution
- Organismic-Scale Remote Sensing of Canopy Foliar Traits in Lowland Tropical Forests
- (2016) K. Chadwick et al. Remote Sensing
- Phylogenetic Structure of Foliar Spectral Traits in Tropical Forest Canopies
- (2016) Kelly McManus et al. Remote Sensing
- Associations of Leaf Spectra with Genetic and Phylogenetic Variation in Oaks: Prospects for Remote Detection of Biodiversity
- (2016) Jeannine Cavender-Bares et al. Remote Sensing
- Near Infrared Spectroscopy Facilitates Rapid Identification of Both Young and Mature Amazonian Tree Species
- (2015) Carla Lang et al. PLoS One
- Spectroscopic determination of leaf morphological and biochemical traits for northern temperate and boreal tree species
- (2014) Shawn P. Serbin et al. ECOLOGICAL APPLICATIONS
- New handbook for standardised measurement of plant functional traits worldwide
- (2013) N. Pérez-Harguindeguy et al. AUSTRALIAN JOURNAL OF BOTANY
- Species Spectral Signature: Discriminating closely related plant species in the Amazon with Near-Infrared Leaf-Spectroscopy
- (2013) Flávia Machado Durgante et al. FOREST ECOLOGY AND MANAGEMENT
- Darwin Core: An Evolving Community-Developed Biodiversity Data Standard
- (2012) John Wieczorek et al. PLoS One
- CLASSIFICATION OF IMBALANCED DATA: A REVIEW
- (2009) YANMIN SUN et al. INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started