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首页> 外文期刊>Plant and Soil >Reconciling root plasticity and architectural ground rules in tree root growth models with voxel automata
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Reconciling root plasticity and architectural ground rules in tree root growth models with voxel automata

机译:使用体素自动机协调树根生长模型中的根可塑性和建筑基本规则

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Dynamic models of tree root growth and function have to reconcile the architectural rules for coarse root topology with the dynamics of fine root growth (and decay) in order to predict the strategic plus opportunistic behaviour of a tree root system in a heterogeneous soil. We present an algorithm for a 3D model based on both local (soil voxel level) and global (tree level) controls of root growth, with development of structural roots as a consequence of fine root function, rather than as driver. The suggested allocation rules of carbon to fine root growth in each rooted voxel depend on the success in water uptake in this voxel during the previous day, relative to overall supply and demand at plant level. The allocated C in each voxel is then split into proliferation (within voxel growth) and extension into neighbouring voxels (colonisation), with scale-dependent thresholds and transfer coefficients. The fine root colonisation process defines a dynamic and spatially explicit demand for transport functions. C allocation to development of a coarse root infrastructure linking all rooted voxels depends on the apparent need for adjustment of root diameter to meet the topologically defined sap flow through this voxel during the previous day. The allometric properties of the coarse root system are maintained to be in line with fractal branching theory. The model can predict the dynamics of the shape and structure (fine root density, coarse root topology and biomass) of the root system either independently of soil conditions (purely genetically-driven) or including both the genetic and environmental effects of roots interacting with soil water supply and its external replenishment, linking in with existing water balance models. Sensitivity of the initial model to voxel dimensions was addressed through explicit scaling rules resulting in scale-independent parameters. The model was parameterised for two tree species: hybrid walnut (Juglans nigra c regia) and wild cherry (Prunus avium L.) using results of a pot experiment. The model satisfactorily predicted the root growth behaviour of the two species. The model is sparse in parameters and yet applicable to heterogeneous soils, and could easily be upgraded to include additional local influences on root growth (and decay) such as local success in nutrient uptake or dynamic soil physical properties.
机译:树木根部生长和功能的动态模型必须使粗根拓扑的构造规则与细根生长(和衰减)的动力学协调一致,以便预测异质土壤中树木根系的战略性和机会主义行为。我们提出了一种基于3D模型的算法,该算法基于根生长的局部(土壤体素水平)和全局(树水平)控制,结构根的发展是优良根功能的结果,而不是驱动力。建议的碳分配到每个有根的体素中良好的根部生长的分配规则取决于前一天中该体素的摄水成功率,相对于工厂级别的总体供求。然后,将每个体素中分配的C分为扩散(在体素增长范围内)和扩展为相邻的体素(定植),并具有与比例相关的阈值和传输系数。精细的根定殖过程定义了对转运功能的动态和空间明确需求。分配用于连接所有有根体素的粗根基础结构的C分配取决于调整根直径的明显需求,以满足在前一天通过该体素的拓扑定义的树液流动。粗根系统的异速特性保持与分形分支理论一致。该模型可以预测土壤根系的形状和结构(精细的根系密度,粗略的根系拓扑结构和生物量)的动力学,而与土壤条件(纯遗传驱动)无关,或者包括与土壤相互作用的根系的遗传和环境影响供水及其外部补给,并与现有的水平衡模型联系在一起。初始模型对体素尺寸的敏感性通过显式缩放规则得到解决,该规则产生了与缩放无关的参数。使用盆栽试验的结果对两个树种参数化模型:杂交核桃(Juglans nigra c regia)和野樱桃(Prunus avium L.)。该模型令人满意地预测了两个物种的根生长行为。该模型的参数稀疏,但仍适用于异质土壤,可以轻松升级以包括对根系生长(和腐烂)的其他局部影响,例如养分吸收或动态土壤物理特性的局部成功。

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