Growth Simulation of Young Chinese Fir Based on Virtual Plant

  • Key Laboratory of Spatial Data Mining & Information Sharing of Ministry of Education, Spatial Information Research Center of Fujian Province, Fuzhou University, Fuzhou 350002, China

Received date: 2012-06-26

  Revised date: 2012-09-10

  Online published: 2012-10-25


Energy fixation and organic matter production of forest ecosystem were dominated by plants, which are impacted by their growth environment. The forest ecosystem has the characteristic of long life-span, which makes its research laborious and costly using field experiment. The virtual geographical environment can provide a new way for its research due to its character of trying to exceed the limit of time and space. In order to estimate the biomass and evaluate relationships among tree and environments, an L-systems based functional-structural model was developed for simulating the development of tree architecture, taking into account tree physiology and environment. The L-systems was used to represent the morphological development of tree. The basic growth unit was described in line with the development of young Chinese fir (Cunninghamia lanceolata). LSTree system integrated the photosynthesis, photosynthates allocation and morphogenesis models. The spatial distribution of solar radiation in tree canopy was simulated for calculating photosynthetically active radiation (PAR) of each leaf obtained. PAR is a key parameter for photosynthesis model to estimate biomass. The dynamic growth of an individual 3-to-4-year-old Chinese fir in Fuzhou was simulated in growing season. Based on the 2010 Fuzhou weather and Chinese fir photosynthetic characteristic, net photosynthesis rate and product were calculated for each stage. The amount of photosynthates allocated to the growth of new segments and leaves or branches and leave amplification are based on source-sink theory. The growth of tree is driven by available photosynthetic products after respiration losses were accounted for. The morphogenesis change in the young Chinese fir in response to environment was simulated dynamically in three dimensional representations. The result of net photosynthesis was compared to the previous field observation research, and it showed the simulation result was reasonable. The methodology has promising benefits to depicting the interaction of plant and environment, which will be valuable for estimation of organic matter production too.

Cite this article

TANG Li-Yu, LIN Ding, HUANG Hong-Yu, JU Jie, CHEN Chong-Cheng, DU Yun-Hu . Growth Simulation of Young Chinese Fir Based on Virtual Plant[J]. Journal of Geo-information Science, 2012 , 14(5) : 569 -575 . DOI: 10.3724/SP.J.1047.2012.00569


[1] 王占刚, 庄大方,明涛.林木冠层光合有效辐射分布模拟的研究[J].地球信息科学,2008,10(6):697-702.

[2] 邹杰,林郁欣,陈崇成,等. 基于虚拟植物冠层的直射光合有效辐射三维分布模拟研究[J]. 福州大学学报(自然科学版),2011,39(6):838-844.

[3] Hu B G, de Reffye P, Zhao X, et al. GreenLab: towards a new methodology towards plant functional- structural model-structural aspect . International Symposium on Plant Growth Modeling, Simulation, Visualization and Applications, Chinese Agricultural University, Beijing, 2003:21-35.

[4] Kang M Z, Evers J B, Vos J, et al. The derivation of sink functions of wheat organs using the GreenLab model [J]. Annals of Botany, 2008,101:1099-1108.

[5] 国红,雷相东,Letort V,等. 基于GreenLab的油松结构-功能模型[J].植物生态学报,2009,33(5):950-957.

[6] Allen M T, Prusinkiewicz P, Dejong T M. Using L-systems for modeling source-sink interactions, architecture and physiology of growing trees: the L-PEACH model [J]. New Phytologist, 2005,166:869-880.

[7] Perttunen J, Sievänen R, Nikinmaa E. LIGNUM: a model combining the structure and the functioning of trees[J]. Ecological Modeling,1998(108):189-198.

[8] 于强,王天铎,刘建栋,等. 玉米株型与冠层光合作用的数学模拟研究Ⅰ.模型与验证[J].作物学报,1998,24(1):7-15.

[9] 张佳华,姚凤梅. 陆面模式的植物叶光合生理的数值模拟试验及分析[J].气象科学,2007,27(4):419-424.

[10] de Reffye P, Blaise F. Calibration of a hydraulic architecture-based growth model of cotton plants[J]. Agronomie, 2009(19): 265-280.

[11] Sievänen R, Nikinmaa E, Nygren P, et al. Components of functional-structural tree models[J]. Annals of Forest Science,2000,57(5-6):399-412.

[12] 林郁欣,唐丽玉,陈崇成,等. 基于组合型L-系统的单树建模工具的设计与实现[J].农业工程学报,2011,27(3):185-190.

[13] 陈刚,唐丽玉,陈崇成,等. 基于L-系统物幼龄杉木形态建模[J].福州大学学报(自然科学版),2011,39(3):375-379.

[14] 俞新妥. 杉木栽培学[M].福州:福建科学技术出版社,1997,394-398.

[15] 卢康宁,张怀清,刘闽. 基于实测数据的杉木构筑型研究[J]. 林业科学研究,2011,24(1):132-136.

[16] 温远光. 利用枝长与叶面积的关系估测杉木叶面积[J].林业实用技术,1985(9):15-17.

[17] 张小全,徐德应. 杉木中龄林不同部位和叶龄针叶光合特性的日变化和季节变化[J].林业科学,2000,36(3):19-26.

[18] 张小全,徐德应. 18年生杉木不同部位和叶龄针叶光响应研究[J].生态学报,2001,21(3):409-414.

[19] 陈福明,朱杭瑞. 杉木光合性状研究初报[J].浙江省林业科技,1983(3):4-7.