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首页> 外文期刊>Journal of Experimental Botany >A generic individual-based model can predict yield, nitrogen content, and species abundance in experimental grassland communities
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A generic individual-based model can predict yield, nitrogen content, and species abundance in experimental grassland communities

机译:一种通用的个体基础模型可以预测实验草地社区中的产量,氮含量和物种丰富

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摘要

Functional-structural plant models are increasingly being used to analyse relationships between plant functioning and the topological and spatial organisation of their modular structure. In this study, the performance of an individual-based model accounting for the the architecture and population dynamics of forage legumes in multi-species grasslands was assessed. Morphogenetic shoot and root parameters were calibrated for seven widely used species. Other model parameters concerning C and N metabolism were obtained from the literature. The model was evaluated using a series of independent experiments combining the seven species in binary mixtures that were subject to regular defoliation. For all the species, the model could accurately simulate phytomer demography, leaf area dynamics, and root growth under conditions of weak competition. In addition, the plastic changes induced by competition for light and N in terms of plant development, leaf area, N uptake, and total plant biomass were correctly predicted. The different species displayed contrasting sensitivities to defoliation, and the model was able to predict the superior ability of creeping species to sustain regular defoliation. As a result of competition and management, the balance between species changed over time and was strongly dependent on the pair of species used. The model proved able to capture these differences in community dynamics. Overall, the results demonstrate that integrating the individual components of population dynamics in a process-based model can provide good predictive capacity regarding mixtures of cultivated species.
机译:功能结构植物模型越来越多地用于分析植物功能与模块化结构的拓扑和空间组织之间的关系。在这项研究中,评估了多种草原饲养豆类建筑和人口和群体动态的个别模型核算的表现。为七种广泛使用的物种校准了形态发生的枝条和根参数。关于C和N代谢的其他模型参数是从文献中获得的。使用一系列独立实验评估模型,将七种物种与经常定期脱落的二元混合物中组合。对于所有物种,该模型可以在弱势竞争条件下准确地模拟植物人口统计学,叶面积动态和根系生长。此外,正确预测了通过植物发育,叶面积,N吸收和总植物生物质竞争致竞争引起的塑性变化。不同物种显示对比对落叶的敏感性,并且该模型能够预测爬行物种维持定期脱落的优越能力。由于竞争和管理,物种之间的平衡随着时间的变化而变化,并且强烈依赖于所用的一对物种。该模型能够捕获社区动态的这些差异。总的来说,结果表明,在基于过程的模型中整合人口动态的各个组分可以提供关于栽培物种混合物的良好预测能力。

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