Extended Data Fig. 10: Spectrally determined diversity effects on stem biomass calculated with remotely sensed species composition.
From: Remote spectral detection of biodiversity effects on forest biomass
Models whereby spectra were first used to predict the species composition of stands before calculating the net biodiversity effect (sNBEsID) (a, d), spectral dominance effect (sDEsID) (b, e) and spectral plasticity effect (sPEsID) (c, f) on stem biomass were each associated with their counterparts that were spectrally predicted using the known species composition of stands (sNBE, sDE and sPE, respectively). The top row (a–c) shows the fifth growing season and the bottom row (d–f) shows the sixth growing season. Error bars show 95% confidence intervals among the 1000 model iterations. Thick line represents the regression line (P < 0.001), dark grey lines represent the 95% prediction interval, and light grey lines represent the 95% confidence interval of the models. Dashed grey line shows 1:1. Sample sizes differ among panels; all panels are limited to the subset of stands that were not monocultures or spectrally identified as such, and sDE and sPE are also limited to those stands where leaf area was measured.
