Cristin-resultat-ID: 2009625
Sist endret: 14. mars 2022, 14:49
Resultat
Sammendrag/abstract
2022

Leaf Area Index at a forested ICOS site: a detailed method comparison

Bidragsytere:
  • Holger Lange
  • Yun-Yun Tsai og
  • Jakub Cerny

Tidsskrift

EGU General Assembly

Om resultatet

Sammendrag/abstract
Publiseringsår: 2022
Publisert online: 2022
Artikkelnummer: EGU22-3124

Beskrivelse Beskrivelse

Tittel

Leaf Area Index at a forested ICOS site: a detailed method comparison

Sammendrag

The three-dimensional structure of forest canopies is essential for light use efficiency, photosynthesis and thus carbon sequestration. Therefore, high-quality characterization of canopy structure is critical to improving our carbon cycle estimates by Earth system models and better understanding disturbance impacts on carbon sequestration in forested ecosystems. In this context, a widely used observable is the Leaf Area Density (LAD) and its integral over the vertical dimension, the Leaf Area Index (LAI). A multitude of methods exists to determine LAD and LAI in a forest stand. In this contribution, we use a mature Norway spruce forest surrounding an ICOS flux tower at Hurdal site (NO-Hur) to investigate LAD and LAI with six different methods: field campaigns using (1) the Plant Canopy Analyzer LAI-2000; (2) the LaiPen LP 110; (3) Digital Hemispheric Photography at a set of plots within the area; (4) a Lidar drone flight covering the footprint area of the tower; (5) an airborne Lidar campaign, and (6) a satellite LAI product (MODIS). The horizontal spatial structure of LAI values is investigated using marked point process statistics. Intercomparison of the methods focusses not only on biases and root mean squared errors, but also on the spatial patterns observed, quantifying to which extent a simple bias correction between the methods is sufficient to make the different approaches match to each other.

Bidragsytere

Holger Lange

  • Tilknyttet:
    Forfatter
    ved Divisjon for miljø og naturressurser ved Norsk institutt for bioøkonomi

Yun-Yun Tsai

  • Tilknyttet:
    Forfatter
    ved Norsk institutt for bioøkonomi

Jakub Cerny

  • Tilknyttet:
    Forfatter
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