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Towards understanding tree root profiles: simulating hydrologically optimal strategies for root distribution

机译:努力了解树的根部轮廓:模拟水文最佳根部分配策略

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In this modelling studydifferences in vertical root distributions measured in four contrasting forestlocations in the Netherlands were investigated. Rootdistributions are seen as a reflection of the plant’s optimisation strategy,based on hydrological grounds. The "optimal" rootdistribution is defined as the one that maximises the water uptake from the rootzone over a period of ten years. The optimal root distributionsof four forest locations with completely different soil physical characteristicsare calculated using the soil hydrological model SWIF. Twodifferent model configurations for root interactions were tested: the standardmodel configuration in which one single root profile wasused (SWIF-NC), and a model configuration in which two root profiles compete forthe same available water (SWIF-C). The root profiles wereparameterised with genetic algorithms. The fitness of a certain root profile wasdefined as the amount of water uptake over a simulationperiod of ten years. The root profiles of SWIF-C were optimised using anevolutionary game. The results showed clear differences inoptimal root distributions between the various sites and also between the twomodel configurations. Optimisation with SWIF-C resulted in rootprofiles that were easier to interpret in terms of feasible biologicalstrategies. Preferential water uptake in wetter soil regions was an importantfactor for interpretation of the simulated root distributions. As the optimisedroot profiles still showed differences with measured profiles,this analysis is presented, not as the final solution for explaining differencesin root profiles of vegetation but as a first step using an optimisationtheory to increase understanding of the root profiles of trees. style="line-height: 20px;">Keywords: forest hydrology, optimisation, roots
机译:在这项建模研究中,调查了在荷兰四个对比林地中测得的垂直根分布的差异。根系分布被认为是基于水文依据的植物优化策略的反映。 “最佳”根系分布定义为在十年内最大化从根区吸收水分的根系。利用土壤水文模型SWIF,计算出土壤物理特性完全不同的四个森林位置的最佳根系分布。测试了用于根交互的两个不同的模型配置:使用一个单一根配置文件的标准模型配置(SWIF-NC)和其中两个根配置文件竞争同一可用水的模型配置(SWIF-C)。用遗传算法对根轮廓进行参数化。某个根剖面的适合度定义为在十年的模拟期内吸水量。 SWIF-C的根轮廓使用进化游戏进行了优化。结果表明,不同位点之间以及两个模型配置之间的最佳根系分布存在明显差异。使用SWIF-C进行优化可以得到根谱,这些根谱在可行的生物策略方面更易于解释。湿润土壤区域的优先水分吸收是解释模拟根系分布的重要因素。由于优化的根剖面仍然与实测剖面存在差异,因此提出此分析,并不是作为解释植被根剖面差异的最终解决方案,而是使用优化理论提高对树木根剖面的了解的第一步。 style =“ line-height:20px;”> 关键字:森林水文,优化,根

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