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首页> 外文期刊>Ecological Modelling >Which factors and processes drive the spatio-temporal dynamics of brackish marshes?-Insights from development and parameterisation of a mechanistic vegetation model
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Which factors and processes drive the spatio-temporal dynamics of brackish marshes?-Insights from development and parameterisation of a mechanistic vegetation model

机译:哪些因素和流程推动了咸水沼泽的时空动态? - 从机械植被模型的开发和参数化的影响

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Tidal marsh vegetation offers important ecosystem services. However, in many estuaries, extensive embankments, artificial bank protection, river dredging and agriculture threaten tidal marshes. In this study we analysed the processes underlying the spatio-temporal patterns of tidal marsh vegetation in the Elbe estuary and quantified the influence of specific habitat factors by developing and applying the process-based dynamic habitat-macrophyte model HaMac in a pattern-oriented way. In order to develop and parameterise the model, we measured a wide range of biotic and abiotic parameters in two study sites in the Elbe estuary and compared observed and simulated patterns. The final model is able to reproduce the general patterns of vegetation zonation, development and growth and thus helps to understand the underlying processes. By considering the vegetative reproduction of marsh plants as well as abiotic influence factors and intraspecific competition, HaMac allowed to systematically analyse the significance of factors and processes for the dynamic of tidal marsh vegetation. Our results show that rhizome growth is the most important process and that flow velocity, inundation height and duration as well as intraspecific competition are the most important habitat factors for explaining spatio-temporal dynamics of brackish marshes. Future applications of HaMac could support the sustainable development and stabilisation of shore zones and thus contribute to the promotion and planning of ecosystem -based shoreline protection measures. (C) 2017 Elsevier B.V. All rights reserved.
机译:潮汐沼泽植被提供重要的生态系统服务。然而,在许多河口,广泛的堤防,人工银行保护,河流疏浚和农业威胁潮汐沼泽。在这项研究中,我们分析了易于袭口中潮汐沼泽植被的时空模式的过程,并通过以模式为导向的方式通过开发和应用基于过程的动态栖息地 - 宏体模型HAMAC来量化特定栖息地因素的影响。为了开发和参数化模型,我们在易行动河口的两种研究地点测量了各种生物和非生物参数,并比较了观察和模拟图案。最终模型能够再现植被区划,发展和增长的一般模式,从而有助于理解潜在的过程。通过考虑沼泽植物的营养繁殖以及非生物影响因素和内心竞争,HAMAC允许系统地分析因素和流程为潮汐沼泽植被的动态分析。我们的研究结果表明,根茎增长是最重要的过程,流速,淹没高度和持续时间以及内部竞争是解释咸沼的时空动态的最重要的栖息地因素。 HAMAC的未来应用可以支持岸边区的可持续发展和稳定,从而有助于促进和规划生态系统的海岸线保护措施。 (c)2017 Elsevier B.v.保留所有权利。

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