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Towards developmental modelling of tree root systems

Knowledge of belowground structures and processes is essential for understanding and predicting ecosystem functioning, and consequently in the development of adaptive strategies to safeguard production from trees and woody plants into the future. In the past, research has mainly been concentrated on growth models for the prediction of agronomic or forest production. Newly emerging scientific challenges, e.g. climate change and sustainable development, call for new integrated predictive methods where root systems development will become a key element for understanding global biological systems. The types of input data available from the various branches of woody root research, including biomass allocation, architecture, biomechanics, water and nutrient supply, are discussed with a view to the possibility of incorporating them into a more generic developmental model. We discuss here the main focus of root system modelling to date, including a description of simple allometric biomass models, and biomechanical stress models, and then build in complexity through static growth models towards architecture models. The next progressive and logical step in developing an inclusive developmental model that integrates these modelling approaches is discussed.
- Tel Aviv University Israel
- University of Helsinki Finland
- University of Cambridge United Kingdom
- National Research Institute for Agriculture, Food and Environment France
- Bulgarian Academy of Sciences Bulgaria
[SDV]Life Sciences [q-bio], croissance et développement [F62 - Physiologie végétale], Arbre, F50 - Anatomie et morphologie des plantes, BIOMASS, Système racinaire, BIOMECANIQUE, Biomasse, MODELE DE DEVELOPPEMENT, Modélisation environnementale, WOODY ROOT SYSTEMS, ARCHITECTURE, U10 - Méthodes mathématiques et statistiques, DEVELOPMENTAL MODELING, Modèle de simulation, Anatomie végétale, [SDE]Environmental Sciences, BIOMECHANICAL, Racine, Développement biologique, agrovoc: agrovoc:c_24242, agrovoc: agrovoc:c_9000056, agrovoc: agrovoc:c_5954, agrovoc: agrovoc:c_7887, agrovoc: agrovoc:c_16034, agrovoc: agrovoc:c_6651, agrovoc: agrovoc:c_926, agrovoc: agrovoc:c_921
[SDV]Life Sciences [q-bio], croissance et développement [F62 - Physiologie végétale], Arbre, F50 - Anatomie et morphologie des plantes, BIOMASS, Système racinaire, BIOMECANIQUE, Biomasse, MODELE DE DEVELOPPEMENT, Modélisation environnementale, WOODY ROOT SYSTEMS, ARCHITECTURE, U10 - Méthodes mathématiques et statistiques, DEVELOPMENTAL MODELING, Modèle de simulation, Anatomie végétale, [SDE]Environmental Sciences, BIOMECHANICAL, Racine, Développement biologique, agrovoc: agrovoc:c_24242, agrovoc: agrovoc:c_9000056, agrovoc: agrovoc:c_5954, agrovoc: agrovoc:c_7887, agrovoc: agrovoc:c_16034, agrovoc: agrovoc:c_6651, agrovoc: agrovoc:c_926, agrovoc: agrovoc:c_921
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).75 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10% visibility views 13 - 13views
Data source Views Downloads Oskar Bordeaux 13 0

