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A dataset of leaf inclination angles for temperate and boreal broadleaf woody species

  • Francesco Chianucci
  • Jan Pisek
  • Kairi Raabe
  • Luca Marchino
  • Carlotta Ferrara
  • Piermaria Corona
Data Paper

Background

Angular distribution of leaves is a major determinant of radiation transmittance through the canopy. Leaf inclination angle distribution plays a fundamental role in the leaf projection function (commonly referred to as G-function), which is in turn a key variable for the indirect quantification of leaf area index (Ross 1981).

To date, relatively few measurements of leaf inclination angle have been reported for different tree species; compilation of large datasets has long been hampered due to issues in consistently applying existing methods to tree canopies, difficulty of applying direct methods in the field and unsatisfactory ability of these methods to reproduce measurements and to collect a representative number of leaves.

Recently, Ryu et al. (2010) proposed a robust and affordable method based on leveled photography to provide reliable leaf inclination angle measurements in broadleaf trees, which are comparable to direct measurements (Pisek et al. 2011). Pisek et al. (2013...

Keywords

Leaf inclination angle distribution G-function Optical canopy instrumentation Leveled digital photography 

Notes

Acknowledgments

We thank the anonymous reviewer and the handling editor Marianne Peiffer for the constructive comments, which improved the original version of the manuscript.

Funding

Luca Marchino was supported by the LIFE Project FutureForCoppiceS (LIFE14 ENV/IT/000514)—www.futureforcoppices.eu. Jan Pisek and Kairi Raabe were supported by the Estonian Research Council grant PUT1355 and Mobilitas Pluss MOBERC-11.

Compliance with ethical standards

Conflict of interest

The authors declare that they have no conflict of interest.

Supplementary material

13595_2018_730_MOESM1_ESM.xls (62 kb)
ESM 1 (XLS 62 kb)

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Copyright information

© INRA and Springer-Verlag France SAS, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Consiglio per la ricerca in agricoltura e l’analisi dell’economia agraria (CREA)Research Centre for Agriculture and EnvironmentRomeItaly
  2. 2.Tartu ObservatoryUniversity of TartuTõravereEstonia
  3. 3.Consiglio per la ricerca in agricoltura e l’analisi dell’economia agraria (CREA)Research Centre for Forestry and WoodArezzoItaly

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