Fig. 2.6 (a) Aerial photo of the Cedar Creek long-term biodiversity experiment (BioDIV) (Courtesy
of Cedar Creek Ecosystem Science Reserve). (b) Pairwise phylogenetic and (c) functional distances
for the 17 most abundant prairie-grassland species in BioDIV are well-predicted by their spectral
distances based on leaf-level spectral profiles (400–2500 nm). (d) Phylogenetic, (e) functional, and
(f) leaf-level spectral diversities based on Scheiner’s
q
D(TM) metric all predict ecosystem productivity in BioDIV. (g) Independent of information about species identities or their abundances, remotely
sensed spectral diversity detected at high spatial resolution (1 mm) also predicts productivity. All
graphs are redrawn from Schweiger et  al. 2018. Species abbreviations in b and c are as follows:
ACHMI = Achillea millefolium L., AMOCA = Amorpha canescens Pursh, ANDGE = Andropogon
gerardii Vitman, ASCTU = Asclepias tuberosa L., KOEMA = Koeleria macrantha (Ledeb.) Schult.,
LESCA = Lespedeza capitata Michx., LIAAS = Liatris aspera Michx., LUPPE = Lupinus perennis
L., MONFI = Monarda fistulosa L., PANVI = Panicum virgatum L., PASSMI = Pascopyrum smithii
(Rydb.) Á. Löve, PETCA = Petalostemum candidum (Willd.), PETPU = Petalostemum purpureum
(Vent.) Rydb., POAPR  =  Poa pratensis L., SCHSC  =  Schizachyrium scoparium Michx.,
SOLRI = Solidago rigida L., SORNU = Sorghastrum nutans (L.) Nash