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Imaging spectroscopy- and lidar- derived estimates of canopy composition and structure to improve predictions of forest carbon fluxes and ecosystem dynamics
journal contribution
posted on 2023-06-08, 17:08 authored by Alexander AntonarakisAlexander Antonarakis, J W Munger, P R MoorcroftThe composition and structure of vegetation are key attributes of ecosystems, affecting their current and future carbon, water, and energy fluxes. Information on these attributes has traditionally come from ground-based inventories of the plant canopy within small sample plots. Here we show how imaging spectrometry and waveform lidar can be used to provide spatially-comprehensive estimates of forest canopy composition and structure that can improve the accuracy of the carbon flux predictions of a size-structured terrestrial biosphere model, reducing its RMSEs from 85%-104% to 37%-57%. The improvements are qualitatively and quantitatively similar to those obtained from simulations initialized with ground measurements, and approximately doubles the estimated rate of ecosystem carbon uptake as compared to a potential vegetation simulation. These results suggest that terrestrial biosphere model simulations can utilize modern-remote sensing data on vegetation composition and structure to improve their predictions of the current and near-term future functioning of the terrestrial biosphere.
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Publication status
- Published
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- Published version
Journal
Geophysical Research LettersISSN
0094-8276Publisher
American Geophysical UnionExternal DOI
Issue
7Volume
41Page range
2535-2542Department affiliated with
- Geography Publications
Full text available
- No
Peer reviewed?
- Yes
Legacy Posted Date
2014-06-06First Compliant Deposit (FCD) Date
2014-06-06Usage metrics
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