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

• DOI: 10.1007/s13595-018-0730-x
• Publication Date: 2018-04-18T08:53:05Z
• Authors: Francesco Chianucci; Jan Pisek; Kairi Raabe; Luca Marchino; Carlotta Ferrara; Piermaria Corona
• Keywords: Temperate rainforest; Temperate forest

BackgroundAngular distribution of leaves is a major determinant radiation transmittance through the canopy.Leaf inclination angle plays fundamental role in leaf projection function (commonly referred to as G-function), which turn key variable for indirect quantification area index (Ross 1981).To date, relatively few measurements have been reported different tree species; compilation large datasets has long hampered due issues consistently applying existing methods canopies, difficulty direct field and unsatisfactory ability these reproduce collect representative number leaves.Recently, Ryu et al. ( 2010) proposed robust affordable method based on leveled photography provide reliable broadleaf trees, are comparable (Pisek 2011). Pisek (2013) Raabe (2015) used this compile dataset angles selected temperate boreal species.The presented here integrates expands previous produce largest measurements, covering 138 woody species. 1 2 Methods Basic theoryFor horizontally homogeneous canopy, probability light canopy commonly described by Beer's law, firstly introduced Monsi Saeki (1953):1 For simplicity, we measured plants however, two perennial belonging Poaceae grass family one fern species were also included dataset.Handling