基于GreenLab的油松结构-功能模型 (A FUNCTIONAL-STRUCTURAL MODEL GREENLAB FOR PINUS TABULAEFORMIS)

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��GreenLab�����-���� (A FUNCTIONAL-STRUCTURAL MODEL GREENLAB FOR PINUS

TABULAEFORMIS)

Hong Guo, Xiangdong Lei, Veronique Letort, Yuanchang Lu, Philippe de Reffye

To cite this version:

Hong Guo, Xiangdong Lei, Veronique Letort, Yuanchang Lu, Philippe de Reffye. ��GreenLab�����-���� (A

FUNCTIONAL-STRUCTURAL MODEL GREENLAB FOR PINUS TABULAEFORMIS). Chinese

Journal of Plant Ecology, Chinese Academy of Sciences, 2009, 33 (5), pp.950-957. �10.3773/j.issn.1005-

264x.2009.05.014�. �hal-00781242�

——————————————————

: 2008-10-22 : 2009-05-15

: (RIFRIGTZGZ2007008) (60073007 30872022) 948

(2008-4-63)

* E-mail: hongguo@caf.ac.cn

GreenLab -

Veronique Letort

Philippe de Reffye

(1 , 100091) (2 , 100080)

- (Functional-structural models, FSMs) ,

, GreenLab -

- , , (Pinus tabulaeformis) ,

GreenLab , 9

, ,

, , :

0.78~0.91 , ,

-

- -

A FUNCTIONAL-STRUCTURAL MODEL GREENLAB FOR PINUS TABULAE- FORMIS

GUO Hong

, LEI Xiang-Dong

, Veronique Letort

, LU Yuan-Chang

, and Philippe de Reffye

1Research Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing 100091, China, and ²Sino-French Laboratory of Informatics, Automation and Applied Mathematics, Institute of Automation,, Chinese Academy of Sciences, Beijing 100080, China

Abstract Aims Functional-structural plant modeling is concerned with the integration of architec-

ture and resource allocation as aspects of plant function. It can depict the three-dimensional presentation of plants for use in analyzing individual tree growth and interactions between structural architecture and resource allocation in environments. Our objective was to parameterize and validate the func- tional-structural model GreenLab for young Pinus tabulaeformis to simulate its growth. Few studies have applied the GreenLab model to trees.

Methods Destructive sampling was done to collect detailed data including structure and biomass

measurements from 9 young P. tabulaeformis trees. We used the functional-structural GreenLab model that has been successfully calibrated for several crops. To extend its application in tree growth analysis, we validated the basic hypotheses of the model such as constant allometry rules and source-sink rela- tionships. Direct parameters were attained from the measurement data and hidden parameters of the model were calibrated using the generalized least squares method.

Important findings Simulations of

P. tabulaeformis growth based on the fitted parameters were rea- sonably accurate. The coefficients of determination of linear regression equations between observations and predictions ranged from 0.78 to 0.91. The topological code system was set up to analyze tree topo- logical structure for simulation. The calibrated parameters can be used to simulate and visualize 3D representation of pine trees. The methods for measuring tree topology and biomass and coding system can serve as a reference for the development of functional-structural models of coniferous trees.

Key words

tree functional-structural model, biomass production and allocation, topological structure,

source-sink relationship, Pinus tabulaeformis

5 : GreenLab - DOI: 10.3773/j.issn.1005-264x.2009.05.014 951

DOI: 10.3773/j.issn.1005-264x.2009.05.014

, ,

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(Sievänen et al., 2000) 20 90

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(Pinus sylvestris var. mongolica) (P.

banksiana) (Acer saccharum)

(Perttunen et al., 1996, 1998, 2001) ECOPHYS (Rauscher et al., 1990) SIMWAL

(Le Dizè et al., 1997) ,

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Fig. 1 Topological structure for 5-year-old Pinus tabulaeformis

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(Godin et al., 1999) 0,

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5 : GreenLab - DOI: 10.3773/j.issn.1005-264x.2009.05.014 953

2

Fig. 2 Topological code system GU: Growth unit

, A B C D E

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Table 1 Parameters for Pinus tabulaeformis saplings

Parameter PA 1 PA 2 PA 3 PA 4

Pe 0.65 0.25 0.08 0.03

Pa 1.00 0.95 0.18 0.10

T 3 a

SLW 0.08 g·cm²

be 47.75 134.33 270.93 190.71

0.06 0.06 0.12 0.50

Sp 0.13 m²

r 0.48

Pe: Internode sink Pa: Needle sink T: Needle functioning time SLW: Spe- cific leaf weight be: The scale coefficient of internodes of different physiological ages :

The form coefficient of internodes of different physiological ages Sp: Plant projection area r: Water resistance PA i: i

Physiological age i (i=1, 2, 3, 4)

3 Fig. 3 The ratio of internode fresh mass to

needles fresh mass PA i: i Physiological age i (i=1, 2, 3, 4)

R

0.60~0.91 , PA2

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b

(1) , 1 4

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0.89~0.96 , ,

5 : GreenLab - DOI: 10.3773/j.issn.1005-264x.2009.05.014 955

4

Fig. 4 Internode allometry

PA i: i Physiological age i (i=1, 2, 3, 4)

(1)

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Fig. 5 Model calibration

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Fig. 6 3D visualization for Pinus tabulaeformis saplings (1a, 3a, and 5a)

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