Spectroscopic remote sensing of non-structural carbohydrates in forest canopies

摘要: Non-structural carbohydrates (NSC) are products of photosynthesis, and leaf NSC concentration may be a prognostic indicator climate-change tolerance in woody plants. However, measurement is prohibitively labor intensive, especially tropical forests, where foliage difficult to access concentrations vary enormously by species across environments. Imaging spectroscopy allow quantitative mapping NSC, but this possibility remains unproven. We tested the accuracy remote sensing at leaf, canopy stand levels using visible-to-shortwave infrared (VSWIR) with partial least squares regression (PLSR) techniques. Leaf-level analyses demonstrated high precision (R2 = 0.69–0.73) (%RMSE 13%–14%) estimates 6136 live samples taken from 4222 forest worldwide. The spectral data were combined radiative transfer model simulate role structural variability, which led reduction estimation 0.56; %RMSE 16%). Application approach 79 one-hectare plots Amazonia Carnegie Airborne Observatory VSWIR spectrometer indicated good level 0.49; 9.1%). Spectral strong contributions shortwave-IR (1300–2500 nm) region determination all scales. conclude that can remotely sensed, opening doors monitoring physiological responses environmental stress climate change.