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Measurement methods and variability assessment of the Norway spruce total leaf area: implications for remote sensing

Citation

Homolova, L and Lukes, P and Malenovsky, Z and Lhotakova, Z and Kaplan, V and Hanus, J, Measurement methods and variability assessment of the Norway spruce total leaf area: implications for remote sensing, Trees, 27, (1) pp. 111-121. ISSN 0931-1890 (2013) [Refereed Article]

Copyright Statement

Copyright 2012 Springer-Verlag

DOI: doi:10.1007/s00468-012-0774-8

Abstract

Estimation of total leaf area (LAT) is important to express biochemical properties in plant ecology and remote sensing studies. A measurement of LAT is easy in broadleaf species, but it remains challenging in coniferous canopies. We proposed a new geometrical model to estimate Norway spruce LAT and compared its accuracy with other five published methods. Further, we assessed variability of the total to projected leaf area conversion factor (CF) within a crown and examined its implications for remotely sensed estimates of leaf chlorophyll content (Cab). We measured morphological and biochemical properties of three most recent needle age classes in three vertical canopy layers of a 30 and 100-year-old spruce stands. Newly introduced geometrical model and the parallelepiped model predicted spruce LAT with an error <5 % of the average needle LAT, whereas two models based on an elliptic approximation of a needle shape underestimated LAT by up to 60 %. The total to projected leaf area conversion factor varied from 2.5 for shaded to 3.9 for sun exposed needles and remained invariant with needle age class and forest stand age. Erroneous estimation of an average crown CF by 0.2 introduced an error of 23 μg cm-2 into the crown averaged Cab content. In our study, this error represents 1015 % of observed crown averaged Cab range (3353 μg cm-2). Our results demonstrate the importance of accurate LAT estimates for validation of remotely sensed estimates of Cab content in Norway spruce canopies.

Item Details

Item Type:Refereed Article
Keywords:chlorophyll content, conversion factor, Picea abies, projected leaf area, remote sensing, total leaf area
Research Division:Biological Sciences
Research Group:Plant Biology
Research Field:Plant Physiology
Objective Division:Environment
Objective Group:Ecosystem Assessment and Management
Objective Field:Ecosystem Assessment and Management of Forest and Woodlands Environments
Author:Malenovsky, Z (Dr Zbynek Malenovsky)
ID Code:88818
Year Published:2013
Web of Science® Times Cited:6
Deposited By:Geography and Environmental Studies
Deposited On:2014-02-17
Last Modified:2017-10-31
Downloads:0

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