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Influence of stand, site and meteorological variables on the maximum leaf area index of beech, oak and Scots pine

Raphael Bequet, Vincent Kint, Matteo Campioli, Dries Vansteenkiste UGent, Bart Muys and Reinhart Ceulemans (2012) EUROPEAN JOURNAL OF FOREST RESEARCH. 131(2). p.283-295
abstract
Different multiple linear regression models of maximum leaf area index (LAI(max)) based on stand characteristics, site quality, meteorological variables and their combinations were constructed and cross-validated for three economically important tree species in Flanders, Belgium: European beech (Fagus,vylvatica L.), Pedunculate oak (Quercus robur L.) and Scots pine (Pinus sylvestris L.). The models were successfully tested on similar datasets of experimental sites across Europe. For each species, ten homogeneous and mature stands were selected, covering the species' entire stand productivity range based on an a priori site index classification. LAI(max) was derived from measurements of leaf area index (LAI) made by means of hemispherical digital photography over the whole growing season (mid-April till end October 2008). Speciesspecific models of LAI(max) for beech and oak were mostly driven by management practice affecting stand characteristics and tree growth. Tree density and dominant height were main predictors for beech, while stand age and treering growth were important in the oak models. Scots pine models were more affected by site quality and meteorological variables. The beech meteorological model showed very good agreement with LAI at several European sites. Scots pine's stand model predicted well LAI across Europe. Since the species-specific models did not share common predictors, generic models of LAI(max) were developed for the 30 studied sites. Dominant height was found to be the best predictor in those generic models. As expected, they showed a lower predictive performance than speciesspecific ones.
Please use this url to cite or link to this publication:
author
organization
year
type
journalArticle (original)
publication status
published
subject
keyword
CONIFEROUS FORESTS, FAGUS-SYLVATICA L., Quercus robin-Pin, RADIATION TRANSMITTANCE, EUROPEAN BEECH, CANOPY STRUCTURE, Fagus sylvatica, NET ECOSYSTEM EXCHANGE, DIGITAL HEMISPHERICAL PHOTOGRAPHY, Model, LAI, sylvestris, Productivity, SEASONAL-VARIATIONS, DECIDUOUS FORESTS, TEMPERATE FOREST
journal title
EUROPEAN JOURNAL OF FOREST RESEARCH
Eur. J. For. Res.
volume
131
issue
2
pages
283 - 295
Web of Science type
Article
Web of Science id
000301088000002
JCR category
FORESTRY
JCR impact factor
1.959 (2012)
JCR rank
9/60 (2012)
JCR quartile
1 (2012)
ISSN
1612-4669
DOI
10.1007/s10342-011-0500-x
language
English
UGent publication?
yes
classification
A1
copyright statement
I have transferred the copyright for this publication to the publisher
id
2941240
handle
http://hdl.handle.net/1854/LU-2941240
date created
2012-06-28 12:05:57
date last changed
2012-07-03 14:01:14
@article{2941240,
  abstract     = {Different multiple linear regression models of maximum leaf area index (LAI(max)) based on stand characteristics, site quality, meteorological variables and their combinations were constructed and cross-validated for three economically important tree species in Flanders, Belgium: European beech (Fagus,vylvatica L.), Pedunculate oak (Quercus robur L.) and Scots pine (Pinus sylvestris L.). The models were successfully tested on similar datasets of experimental sites across Europe. For each species, ten homogeneous and mature stands were selected, covering the species' entire stand productivity range based on an a priori site index classification. LAI(max) was derived from measurements of leaf area index (LAI) made by means of hemispherical digital photography over the whole growing season (mid-April till end October 2008). Speciesspecific models of LAI(max) for beech and oak were mostly driven by management practice affecting stand characteristics and tree growth. Tree density and dominant height were main predictors for beech, while stand age and treering growth were important in the oak models. Scots pine models were more affected by site quality and meteorological variables. The beech meteorological model showed very good agreement with LAI at several European sites. Scots pine's stand model predicted well LAI across Europe. Since the species-specific models did not share common predictors, generic models of LAI(max) were developed for the 30 studied sites. Dominant height was found to be the best predictor in those generic models. As expected, they showed a lower predictive performance than speciesspecific ones.},
  author       = {Bequet, Raphael and Kint, Vincent and Campioli, Matteo and Vansteenkiste, Dries and Muys, Bart and Ceulemans, Reinhart},
  issn         = {1612-4669},
  journal      = {EUROPEAN JOURNAL OF FOREST RESEARCH},
  keyword      = {CONIFEROUS FORESTS,FAGUS-SYLVATICA L.,Quercus robin-Pin,RADIATION TRANSMITTANCE,EUROPEAN BEECH,CANOPY STRUCTURE,Fagus sylvatica,NET ECOSYSTEM EXCHANGE,DIGITAL HEMISPHERICAL PHOTOGRAPHY,Model,LAI,sylvestris,Productivity,SEASONAL-VARIATIONS,DECIDUOUS FORESTS,TEMPERATE FOREST},
  language     = {eng},
  number       = {2},
  pages        = {283--295},
  title        = {Influence of stand, site and meteorological variables on the maximum leaf area index of beech, oak and Scots pine},
  url          = {http://dx.doi.org/10.1007/s10342-011-0500-x},
  volume       = {131},
  year         = {2012},
}

Chicago
Bequet, Raphael, Vincent Kint, Matteo Campioli, Dries Vansteenkiste, Bart Muys, and Reinhart Ceulemans. 2012. “Influence of Stand, Site and Meteorological Variables on the Maximum Leaf Area Index of Beech, Oak and Scots Pine.” European Journal of Forest Research 131 (2): 283–295.
APA
Bequet, R., Kint, V., Campioli, M., Vansteenkiste, D., Muys, B., & Ceulemans, R. (2012). Influence of stand, site and meteorological variables on the maximum leaf area index of beech, oak and Scots pine. EUROPEAN JOURNAL OF FOREST RESEARCH, 131(2), 283–295.
Vancouver
1.
Bequet R, Kint V, Campioli M, Vansteenkiste D, Muys B, Ceulemans R. Influence of stand, site and meteorological variables on the maximum leaf area index of beech, oak and Scots pine. EUROPEAN JOURNAL OF FOREST RESEARCH. 2012;131(2):283–95.
MLA
Bequet, Raphael, Vincent Kint, Matteo Campioli, et al. “Influence of Stand, Site and Meteorological Variables on the Maximum Leaf Area Index of Beech, Oak and Scots Pine.” EUROPEAN JOURNAL OF FOREST RESEARCH 131.2 (2012): 283–295. Print.