Components of functional-structural tree models

Sievänen, Risto; Nikinmaa, Eero; Nygren, Pekka; Ozier‐Lafontaine, Harry; Perttunen, Jari; Hakula, Harri

doi:10.1051/forest:2000131

Cited by 187 publications

(121 citation statements)

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“…This principle applied to a tree root system predicts that roots follow the same bifurcation pattern from proximal roots to the smallest transport roots. Water and nutrient absorbing fine roots are not considered here, as they are functionally different from the water and nutrient transporting coarse roots and may follow different growth patterns [20]. The basic parameters of fractal root models describe the ratio of the sum of root cross-sectional areas after a bifurcation to the cross-sectional area before bifurcation, α, and the distribution of the cross-sectional areas after bifurcation, q [21,25].…”

Section: Introductionmentioning

confidence: 99%

A fractal root model applied for estimating the root biomass and architecture in two tropical legume tree species

2004

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-A fractal root model with parameter estimation based on pipe model theory was applied for studying root architecture of Erythrina lanceolata and Gliricidia sepium associated with crops in agroforestry. The results were compared with a theoretical volume-filling fractal model on scaling of plant vascular system. Scaling of root diameter at bifurcation followed same parameter values over the whole root system. The parameter values were approximately equal in both species. Length between two bifurcations could not be estimated according to volumefilling fractal principles, but an empirical regression was used. An empirical model was also applied for estimating bifurcation angles. These characteristics seem to respond strongly to local root environment, and their modelling calls for studying root-soil interactions. Agronomic applications of this study indicate the usefulness of an architectural approach for the study of belowground interactions in agroforestry systems.Erythrina lanceolata / Gliricidia sepium / agroforestry / pipe model / self-similarity Résumé -Application d'un modèle racinaire fractal à l'estimation de la biomasse et de l'architecture racinaire de deux espèces d'arbres légumineux. Un modèle racinaire fractal dont l'estimation des paramètres repose sur la théorie du « modèle vasculaire » a été appliqué à l'étude de l'architecture de Erythrina lanceolata et Gliricidia sepium cultivés dans des systèmes agroforestiers. Ce modèle a été confronté à un modèle fractal théorique dédié à la simulation du système vasculaire de plantes. La diminution de la section conductrice au niveau de chaque ramification demeure indépendante du diamètre, et peut-être considérée comme étant invariable à l'échelle de l'ensemble du système racinaire. Les valeurs des paramètres d'échelle sont approximativement équivalentes pour les deux espèces. La distance entre deux ramifications n'a pas pu être estimée à partir du deuxième modèle, aussi a-t-elle été estimée à partir d'une régression empirique. Un modèle empirique a éga-lement été utilisé pour l'estimation de la distribution des angles de ramifications. Ces modalités sont typiques d'interactions fortes avec les caractéristiques de l'environnement local, et leur modélisation nécessite une étude approfondie des interactions sol-racines. Cette étude débou-che sur des considérations agronomiques qui montrent l'utilité d'approches architecturales pour l'amélioration de la gestion des interactions souterraines dans les systèmes agroforestiers.Erythrina lanceolata / Gliricidia sepium / agroforesterie / modèle vasculaire / autosimilarité

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Section: Introductionmentioning

confidence: 99%

A fractal root model applied for estimating the root biomass and architecture in two tropical legume tree species

2004

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“…Sievänen et al (3), en un exhaustivo análisis de modelos funcionales-estructurales, plantea que se observan dos aproximaciones para la construcción de estos modelos. Por una parte, algunos modelos comienzan a partir de modelos geomé-tricos de la dinámica estructural de la planta, y luego se le agregan detalles fisiológicos.…”

Section: Modelación Funcional Y Estructural De Plantasunclassified

Estado del arte en modelación funcional-estructural de plantas

Quiroga

2005

Bosque (Valdivia)

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SUMMARYThe advances in trees and plants architecture and their physiology analysis, and on the other hand the advances in computer sciences, have permitted the development of 3D structural plant models. The basic modeling units are usually leaves internodes, buds and fruits or flowers. The state of the art is presented in this kind of models, as are also the functional-structural models that are integration between structural models and physiological ones. Some tools and concepts used in this kind of modeling, as L-Systems, automata cellular, stochastic modeling, are also presented. The future trend will be a stronger development of these models, including variations due to environment and management, in order to support the decision taking.Key words: functional-structural models, crown, L-Systems, fractal theory. RESUMENLos avances en el análisis de la arquitectura o estructura de los árboles y plantas y su fisiología y, por otra parte, los avances en el área de la computación, han permitido desarrollar modelos estructurales tridimensionales del desarrollo de vegetales, usando generalmente como unidad mínima a modelar las hojas, internudos, yemas y frutos. Se presenta el estado del arte en este tipo de modelos, así como los modelos funcionales-estructurales, que integran modelos estructurales con modelos de procesos fisiológicos en la planta. Algunas herramientas usadas para este tipo de modelación, tales como Sistemas L, concepto de autómata celular, modelación estocástica, son presentadas. Se observa que la tendencia a futuro será desarrollar más este tipo de modelos integrados, incluyendo variaciones debido al ambiente y manejo, de manera de que apoyen la toma de decisiones.

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“…1) GreenLab: GreenLab is a generic functional-structural plant model (FSPM), combining the description of the plant architecture and its physiological functioning [12], [13]. The model in its discrete version was introduced by [1], and has already been studied in the case of sugar beet by [14].…”

Section: A Description Of the Modelsmentioning

confidence: 99%

Evaluation of the predictive capacity of five plant growth models for sugar beet

Baey

Cournède

et al. 2012

2012 IEEE 4th International Symposium on Plant Growth Modeling, Simulation, Visualization and Applications

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Abstract-A lot of plant growth models coexist, with different modelling approaches and levels of complexity. In the case of sugar beet, many of them are used as predictive tools, even when they were not originally designed for this purpose.We propose the evaluation and comparison of five plant growth models that rely on the same energetic production of biomass, but with different levels of description (per plant or per square meter) and different biomass repartition (empirical or via allocation): Greenlab, LNAS, CERES, PILOTE and STICS. The models were calibrated on a first set of data, and their predictive capacities were compared on an independent data set from the same variety and similar environmental conditions, using the root mean squared error of prediction (RMSEP) and modelling efficiency (EF) for the total dry matter production and the dry matter of root.All the models tended to overestimate both the total dry matter and the dry matter of root. Greenlab gave the best predictions for the root biomass, and CERES the best total biomass predictions. The overestimation was partly explained by a hail episode that caused a lot of damages to the leaves in the validation year. The five models also provided similar yield prediction errors.

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Components of functional-structural tree models

Cited by 187 publications

References 84 publications

A fractal root model applied for estimating the root biomass and architecture in two tropical legume tree species

A fractal root model applied for estimating the root biomass and architecture in two tropical legume tree species

Estado del arte en modelación funcional-estructural de plantas

Evaluation of the predictive capacity of five plant growth models for sugar beet

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