A method for describing the canopy architecture of coppice poplar with allometric relationships.

A multi-scale biometric methodology for describing the architecture of fast-growing short-rotation woody crops is used to describe 2-year-old poplar clones during the second rotation. To allow for expressions of genetic variability observed within this species (i.e., growth potential, leaf morphology, coppice and canopy structure), the method has been applied to two clones: Ghoy (Gho) (Populus deltoides Bartr. ex Marsh. x Populus nigra L.) and Trichobel (Tri) (Populus trichocarpa Torr. & A. Gray x Populus trichocarpa). The method operates at the stool level and describes the plant as a collection of components (shoots and branches) described as a collection of metameric elements, themselves defined as a collection of elementary units (internode, petiole, leaf blade). Branching and connection between the plant units (i.e., plant topology) and their spatial location, orientation, size and shape (i.e., plant geometry) describe the plant architecture. The methodology has been used to describe the plant architecture of 15 selected stools per clone over a 5-month period. On individual stools, shoots have been selected from three classes (small, medium and large) spanning the diameter distribution range. Using a multi-scale approach, empirical allometric relationships were used to parameterize elementary units of the plant, topological relationships and geometry (e.g., distribution of shoot diameters on stool, shoot attributes from shoot diameter). The empirical functions form the basis of the 3-D Coppice Poplar Canopy Architecture model (3-D CPCA), which recreates the architecture and canopy structure of fast-growing coppice crops at the plot scale. Model outputs are assessed through visual and quantitative comparisons between actual photographs of the coppice canopy and simulated images. Overall, results indicate a good predictive ability of the 3-D CPCA model.

[1]  D. Dickmann,et al.  Responses of two hybrid Populus clones to flooding, drought, and nitrogen availability. I. Morphology and growth , 1992 .

[2]  I. Tubby,et al.  Establishment and management of short rotation coppice. , 2002 .

[3]  H. Sinoquet,et al.  Characterization of the Light Environment in Canopies Using 3D Digitising and Image Processing , 1998 .

[4]  R. Ceulemans,et al.  Production physiology and morphology of Populus species and their hybrids grown under short rotation. I. Clonal comparisons of 4-year growth and phenology , 1992 .

[5]  Hervé Sinoquet,et al.  Leaf dispersion and light partitioning in three‐dimensionally digitized tall fescue–white clover mixtures , 2002 .

[6]  Aacm Beenackers,et al.  BIOMASS FOR ENERGY AND INDUSTRY , 1998 .

[7]  P. Heilman,et al.  Genetic variation and productivity of Populustrichocarpa and its hybrids. II. Biomass production in a 4-year plantation , 1985 .

[8]  R. Ceulemans,et al.  Spatial distribution of leaf morphological and physiological characteristics in relation to local radiation regime within the canopies of 3-year-old Populus clones in coppice culture. , 2002, Tree physiology.

[9]  P. Heilman,et al.  Genetic variation and productivity of Populustrichocarpa and its hybrids. V. The influence of ramet position on 3-year growth variables , 1992 .

[10]  M. Cannell,et al.  Light Use Efficiency and Woody Biomass Production of Poplar and Willow , 1988 .

[11]  D. Dickmann,et al.  Poplar culture in North America , 2001 .

[12]  R. Ceulemans,et al.  Crown architecture of Populus clones as determined by branch orientation and branch characteristics. , 1990, Tree physiology.

[13]  Philippe De Reffye,et al.  Growth units construction in trees: A stochastic approach , 1991 .

[14]  Growth adaptation of leaves and internodes of poplar to irradiance, day length and temperature. , 1999, Tree physiology.

[15]  G. Grassi,et al.  Photosynthesis-nitrogen relationships: interpretation of different patterns between Pseudotsuga menziesii and Populus x euroamericana in a mini-stand experiment. , 2003, Tree physiology.

[16]  Hervé Sinoquet,et al.  Wind speed and leaf boundary layer conductance variation within tree crown: Consequences on leaf-to-atmosphere coupling and tree functions , 1999 .

[17]  W. Remphrey,et al.  Shoot morphology and fate of buds in relation to crown location in young Fraxinus pennsylvanica var. subintegerrima , 2002 .

[18]  Reinhart Ceulemans,et al.  Biomass yield of poplar after five 2-year coppice rotations , 1999 .

[19]  R. Ceulemans,et al.  Production physiology and growth potential of poplars under short-rotation forestry culture , 1999 .

[20]  T. Hinckley,et al.  Leaf growth characteristics of fast-growing poplar hybrids Populus trichocarpa x P. deltoides. , 1986, Tree physiology.

[21]  P. Jarvis,et al.  The biomass production of three poplar clones in relation to intercepted solar radiation , 1992 .

[22]  J. Ross The radiation regime and architecture of plant stands , 1981, Tasks for vegetation sciences 3.

[23]  B. Andrieu,et al.  Computer stereo plotting for 3-D reconstruction of a maize canopy , 1995 .

[24]  D. Whitehead,et al.  Architectural distribution of foliage in individual Pinus radiata D. Don crowns and the effects of clumping on radiation interception. , 1990, Tree physiology.

[25]  J. Gash An analytical model of rainfall interception by forests , 1979 .

[26]  Jean Dauzat,et al.  Simulation of leaf transpiration and sap flow in virtual plants: model description and application to a coffee plantation in Costa Rica. , 2001 .

[27]  Hervé Sinoquet,et al.  Short term interactions between tree foliage and the aerial environment: An overview of modelling approaches available for tree structure-function models , 2000 .

[28]  Przemyslaw Prusinkiewicz,et al.  Graphical applications of L-systems , 1986 .

[29]  R. Ceulemans,et al.  A fractal-based Populus canopy structure model for the calculation of light interception , 1994 .

[30]  P. Prusinkiewicz,et al.  Modeling the architecture of expanding Fraxinus pennsylvanica shoots using L-systems , 1994 .

[31]  M. Cannell Physiological basis of wood production: A review , 1989 .

[32]  C. Harrington,et al.  Tree growth and stand development in short-rotation Populus plantings: 7-year results for two clones at three spacings , 1996 .

[33]  T. Hinckley,et al.  Biology of populus and its implications for management and conservation , 1996 .

[34]  R. Ceulemans,et al.  Carbon acquisition and allocation , 1996 .

[35]  Yves Caraglio,et al.  Essai sur l'identification et la mise en oeuvre des paramètres nécessaires à la simulation d'une architecture végétale. Le logiciel AMAPSIM , 1997 .

[36]  Marc Jaeger,et al.  Plant models faithful to botanical structure and development , 1988, SIGGRAPH.

[37]  George Macpherson Home-Grown Energy from Short-Rotation Coppice , 1998 .

[38]  Hervé Sinoquet,et al.  RATP: a model for simulating the spatial distribution of radiation absorption, transpiration and photosynthesis within canopies: application to an isolated tree crown , 2001 .

[39]  P. Tomlinson,et al.  Tropical Trees and Forests: An Architectural Analysis , 1978 .

[40]  Christophe Godin,et al.  A Method for Describing Plant Architecture which Integrates Topology and Geometry , 1999 .

[41]  Prof. Dr. Francis Hallé,et al.  Tropical Trees and Forests , 1978, Springer Berlin Heidelberg.

[42]  J. Zavitkovski Structure and seasonal distribution of litterfall in young plantations of Populus ‘Tristis#1’ , 1981, Plant and Soil.

[43]  Olevi Kull,et al.  An analysis of light effects on foliar morphology, physiology, and light interception in temperate deciduous woody species of contrasting shade tolerance. , 1998, Tree physiology.

[44]  H. Sinoquet,et al.  Assessing the Geometric Structure of a White Clover ( Trifolium repens L.) Canopy using3-D Digitising , 2000 .

[45]  R. Ceulemans,et al.  Genetic variation in aspects of leaf growth of Populusclones, using the leaf plastochron index , 1988 .

[46]  D. Baldocchi,et al.  Leaf area distribution and radiative transfer in open-canopy forests: implications for mass and energy exchange. , 2001, Tree physiology.