Call for Participation: Collaborative Benchmarking of Functional-Structural Root Architecture Models. The Case of Root Water Uptake
Call for Participation: Collaborative Benchmarking of Functional-Structural Root Architecture Models. The Case of Root Water Uptake
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DOI：
10.3389/fpls.2020.00316
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发表时间：
2020-03-31
影响因子：
5.6
通讯作者：
Weber, Matthias
中科院分区：
文献类型：
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作者：
Schnepf, Andrea;Black, Christopher K.;Weber, Matthias
根系生长、结构和功能的三维模型正成为帮助农业管理方案设计和有益根系性状选择的重要工具。然而，尽管基准测试在许多使用数值模型的学科中很常见，例如自然科学和工程科学，但功能结构根结构模型从未被系统地比较过。不同模型的模拟结果不一致的原因可能是：对根系生长的不同描述、根系水分和溶质吸收的汇项以及对根际的不同描述。目前，差异的程度是未知的，需要一个框架来定量比较功能结构的根结构模型。我们建议，在第一步中，定义基准测试方案，测试复杂模型的各个组成部分：根结构，土壤中的水流和根中的水流。虽然后两者将主要集中在数值方面的比较，但根架构模型必须在概念层面上进行比较，因为它们通常在流程表示方面有所不同。因此，定义允许在所有模型中重新创建参考根系的共同输入将是一个关键挑战。在第二步中，定义了耦合问题的基准测试场景。我们期望步骤1的结果将使我们能够更好地解释步骤2中发现的差异。这种基准测试将导致更好地理解不同的模型，并有助于改进它们。改进的模型将使我们能够更有信心地模拟各种场景，并避免错误，数值错误或概念误解。这项工作将为未来的模型开发制定标准。
Three-dimensional models of root growth, architecture and function are becoming important tools that aid the design of agricultural management schemes and the selection of beneficial root traits. However, while benchmarking is common in many disciplines that use numerical models, such as natural and engineering sciences, functional-structural root architecture models have never been systematically compared. The following reasons might induce disagreement between the simulation results of different models: different representation of root growth, sink term of root water and solute uptake and representation of the rhizosphere. Presently, the extent of discrepancies is unknown, and a framework for quantitatively comparing functional-structural root architecture models is required. We propose, in a first step, to define benchmarking scenarios that test individual components of complex models: root architecture, water flow in soil and water flow in roots. While the latter two will focus mainly on comparing numerical aspects, the root architectural models have to be compared at a conceptual level as they generally differ in process representation. Therefore, defining common inputs that allow recreating reference root systems in all models will be a key challenge. In a second step, benchmarking scenarios for the coupled problems are defined. We expect that the results of step 1 will enable us to better interpret differences found in step 2. This benchmarking will result in a better understanding of the different models and contribute toward improving them. Improved models will allow us to simulate various scenarios with greater confidence and avoid bugs, numerical errors or conceptual misunderstandings. This work will set a standard for future model development.