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

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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.
Keywords
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

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Citation

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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.
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.
Chicago author-date
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.
Chicago author-date (all authors)
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.
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.
IEEE
[1]
R. Bequet, V. Kint, M. Campioli, D. Vansteenkiste, B. Muys, and R. Ceulemans, “Influence of stand, site and meteorological variables on the maximum leaf area index of beech, oak and Scots pine,” EUROPEAN JOURNAL OF FOREST RESEARCH, vol. 131, no. 2, pp. 283–295, 2012.
@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},
  keywords     = {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},
}

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