Leaf reflectance spectra have been increasingly used to assess plant diversity. However, we
do not yet understand how spectra vary across the tree of life or how the evolution of leaf …

Optical remote sensing permits modeling of variables related to forest biomass, which is a
critical determinant of carbon (C) stocks and fluxes. Plant functional characteristics can be …

Hyperspectral reflectance tools have been used to detect multiple pathogens in agricultural
settings and single sources of infection or broad declines in forest stands. However …

The oak wilt disease caused by the invasive fungal pathogen Bretziella fagacearum is one
of the greatest threats to oak-dominated forests across the Eastern United States. Accurate …

Turgor loss point (TLP) is an important proxy for plant drought tolerance, species habitat
suitability, and drought‐induced plant mortality risk. Thus, TLP serves as a critical tool for …

Microcrystalline cellulose (MCC) is a semi-crystalline material with inherent variable
crystallinity due to raw material source and variable manufacturing conditions. MCC …

More than ever, ecologists seek to employ herbarium collections to estimate plant functional
traits from the past and across biomes. However, many trait measurements are destructive …

Leaf reflectance spectroscopy is emerging as an effective tool for assessing plant diversity
and function. However, the ability of leaf spectra to detect fine‐scale plant evolutionary …

Premise Spectroscopy is a powerful remote sensing tool for monitoring plant biodiversity
over broad geographic areas. Increasing evidence suggests that foliar spectral reflectance …

Bogs, as nutrient-poor ecosystems, are particularly sensitive to atmospheric nitrogen (N)
deposition. Nitrogen deposition alters bog plant community composition and can limit their …