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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 Moorcroft
The 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.

History

Publication status

  • Published

File Version

  • Published version

Journal

Geophysical Research Letters

ISSN

0094-8276

Publisher

American Geophysical Union

Issue

7

Volume

41

Page range

2535-2542

Department affiliated with

  • Geography Publications

Full text available

  • No

Peer reviewed?

  • Yes

Legacy Posted Date

2014-06-06

First Compliant Deposit (FCD) Date

2014-06-06

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