Hyperspectral retrieval of leaf physiological traits and their links to ecosystem productivity in grassland monocultures

• Published in: Ecological indicators Vol. 122; p. 107267
• Main Authors: Zhao, Yujin, Sun, Yihan, Lu, Xiaoming, Zhao, Xuezhen, Yang, Long, Sun, Zhongyu, Bai, Yongfei
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01.03.2021; Elsevier
• Subjects: Aboveground biomass; canopy; carbon; carotenoids; chlorophyll; Ecosystem function; ecosystems; Functional trait; grasslands; Hyperspectral image; leaf area index; leaves; nitrogen; Partial least squares regression (PLSR); photosynthesis; prediction; specific leaf weight; spectrometers; Unmanned aerial vehicle (UAV); unmanned aerial vehicles; Partial least squares regression (PLSR); Unmanned aerial vehicle (UAV); Hyperspectral image; Functional trait; Ecosystem function; Aboveground biomass

•Leaf traits should be hyperspectrally estimated on an area basis in grasslands.•LAI-based upscaling in spectral estimates of canopy traits outperforms biomass basis.•Plot-level leaf trait values and intraspecific variations link traits to productivity. Plant functional traits are closely associated...