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Contrasting short- and long-timescale effects of vegetation dynamics on water and carbon fluxes in water-limited ecosystems

机译:植被动态对缺水生态系统中水和碳通量的短期和长期影响相反

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摘要

While it is generally believed that the magnitude and composition of vegetation cover influence land-atmosphere water and carbon fluxes, observations indicate that in some cases, fluxes are insensitive to land cover contrasts. This seeming inconsistency may be resolved by contrasting fluxes over short and long timescales. To explore this potential contrast, we developed and tested a model designed to simulate daily to decadal land surface water and carbon fluxes and vegetation dynamics for water-limited ecosystems. The model reproduces (R~2 > 0.76) observed daily fluxes under increasing water limitation and captures representative dynamics of leaf area and fractional cover of dominant grass and wood vegetation. We parameterized the model for southern African savannas and conducted two sets of numerical experiments with either having fixed (static) grass and wood covers or allowing them to adjust dynamically with production. Static simulations reveal that the direct effect of rainfall on soil moisture is more important than the prevailing grass and wood cover states in controlling annual transpiration and production. Dynamic simulations indicate sensitivity of daily fluxes to vegetation cover states during high soil water periods. However, depletion of finite soil water prevents an integrated effect from lasting over interstorm to annual timescales. Correspondingly, while seasonal vegetation dynamics enhance seasonality in fluxes, vegetation dynamics have only minor influence on annual transpiration and production. In fact, annual rainfall explains most (R > 0.85) of the temporal variation in annual water and carbon fluxes. Hence, despite alteration of daily and seasonal distributions of fluxes, for water-limited ecosystems, vegetation dynamics have little effect on annual transpiration and production.
机译:人们普遍认为植被覆盖的程度和组成会影响陆地大气的水和碳通量,但观察表明,在某些情况下,通量对土地覆盖的差异不敏感。可以通过对比短时和长时尺度上的通量来解决这种看似不一致的问题。为了探索这种潜在的对比,我们开发并测试了一个模型,该模型旨在模拟每天有限的陆地表面水和碳通量以及有限水生态系统的植被动态。该模型再现了在增加的水限制下观察到的每日通量(R〜2> 0.76),并捕获了主要草木植被的叶面积和部分覆盖率的动态变化。我们对南部非洲大草原的模型进行了参数设置,并进行了两组数值实验,使用了固定的(静态)草木覆盖物或木质覆盖物,或者允许它们随生产动态地进行调整。静态模拟显示,降雨对土壤水分的直接影响在控制年蒸腾和生产方面比现行的草木覆盖状态更为重要。动态模拟表明在高土壤水分时期日通量对植被覆盖状态的敏感性。但是,有限土壤水的枯竭会阻止综合影响持续到暴风雨之间才能达到年度时间表。相应地,虽然季节性植被动态增强通量的季节性,但植被动态对年蒸腾量和产量的影响很小。实际上,年降雨量解释了年水和碳通量的时间变化的大部分(R> 0.85)。因此,尽管通量的每日和季节性分布发生变化,但对于缺水的生态系统而言,植被动态对年蒸腾量和产量的影响很小。

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