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Tropical Montane Cloud Forests in the Orinoco River basin: Inferring fog interception from through-fall dynamics

机译:在奥里诺科河流域的热带山云云森林:推断雾从通过秋季动态拦截

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摘要

The interaction between vegetation and the atmosphere is highly complex in fog affected ecosystems like Tropical Montane Cloud Forests (TMCFs). Despite acknowledging fog effects on the canopy’s water balance, quantifying their influence remains challenging. While the reduction in potential evaporation that is caused by fog presence, is largely independent of land cover, fog interception itself strongly depends on the land-cover’s vegetation characteristics. A better understanding of how these two fog related processes affect the water balance is highly relevant under current land-use and climate-change pressures. In this study we evaluate the different fog effects on TMCFs’ canopy interception combining model simulations and high temporal resolution (10?min) observations that were collected in different TMCF regeneration stages: early succession, secondary and old-growth TMCFs. We also analyse the difficulties in closing catchment water balances caused by limitations on the interpretation of throughfall data to properly represent these fog effects.Results show that different fog frequencies along elevation affect potential evaporation. The higher elevation old-growth TMCFs have a lower simulated evaporation and a lower dry canopy frequency than the low elevation secondary and early succession forests. Furthermore, we show that fog water inputs during fog-only events, even though higher at the higher elevation, are irrelevant as water inputs (from 0.8% to 1.6% of measured rainfall), but fog’s contribution to through-fall during foggy rainfall events can be more relevant (from 5.8%–12.8% of measured rainfall). Additional to the fog trends along the elevation, we also uncover variable fog-vegetation interactions controlled by differences in canopy water storages as a function of forest cover. Each evaluated process has associated uncertainties, which together cumulatively explain why closing a water budget in TMCF catchments is limited by data collection methods that probably do not capture all relevant fog effects. In addition, this study also indicates that the temporal resolution of measured rainfall and through-fall and compensating effects of canopy parameters that are estimated by the commonly used Rutter canopy-rainfall interception model, pose an additional challenge to understand and quantify fog effects in the water budgets of TMCFs.
机译:植被与大气之间的相互作用在雾中的雾气中具有高度复杂的影响,这些生态系统等热带蒙尾云森林(TMCF)。尽管承认对天底的水平的雾效应,但量化它们的影响仍然挑战。虽然由雾存在引起的潜在蒸发的潜力蒸发在很大程度上独立于陆地覆盖,但雾拦截本身强烈取决于陆地覆盖的植被特征。更好地了解这两个雾相关过程如何影响水平的水平在目前的土地使用和气候变化压力下具有高度相关性。在这项研究中,我们评估了在不同TMCF再生阶段收集的模型模拟和高时分辨率(10?min)观察的不同雾效应组合模拟模拟和高时分辨率(10?min):早期连续,中学和旧的增​​长TMCF。我们还分析了由于对吞吐量数据解释的限制造成的闭路水平的困难,以适当代表这些雾效应。结果表明,沿着高程的不同雾频会影响潜在的蒸发。较高的升高旧成长TMCFS具有较低的模拟蒸发和低于低仰角高度和早期连续森林的干燥冠层频率较低。此外,我们展示了仅雾的事件期间的雾水投入,即使在高度升高时也与水投入(从测量的降雨量的0.8%到1.6%的0.8%)无关,但在有雾的降雨事件期间对通过秋天的贡献可以更相关(从测量降雨量的5.8%-12.8%)。沿着高程造成雾趋势的额外,我们还发现通过森林覆盖的函数来揭示受冠层水储存差异的可变雾植被相互作用。每个评估的过程具有相关的不确定性,其中累计解释为什么关闭TMCF集水器中的水预算受到可能不会捕获所有相关雾效应的数据收集方法的限制。此外,本研究还表明,通过常用的垃圾桶降雨拦截模型估计的测量降雨和通过堕落和补偿效果的时间分辨率,构成了解和量化雾效应的额外挑战TMCF的水预算。

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