Water storage and redistribution in the forest floor affect percolation, evaporation and DOM loss

森林地面（FF）是水文高度相关的，但仍然是唯一的探索降水，穿透雨或茎流，蒸发和渗透到土壤之间的联系。特别是由于其在厚度，物理性质和防水性方面的变化特性，这在很大程度上是未知的，特别是空间和时间模式。溶解性有机质（DOM）或溶解性有机碳（DOC）从FF进入土壤的整体淋溶是描述FF碳平衡的必要条件。该提案将详细研究FF中水通量的空间和时间模式，将其形式和结构与水文过程联系起来。这将通过应用新的森林地面网格蒸渗仪来实现，其中包括连续的原位测量和溶解水中的DOM以及使用润湿剂和染料示踪剂的新实验。但也将测量和分析FF厚度，类型，植被和其他属性的较大空间格局。我们将首次联系的空间和时间变化的DOM/DOC的通量，以及反馈机制的大气。当考虑到森林覆盖率因气候变化和树种组成变化（包括干旱或气温升高的影响）而发生的短期和长期变化时，这一点就更加重要。P1在FF-RU中的作用是了解FF的水文特性和服务及其在水和养分通量中的核心作用，并为生态建模和许多基线数据集提供输入。

Forest floor (FF) is hydrologically highly relevant, but remains an only partiality explored nexus between precipitation, throughfall or stem flow, evaporation and infiltration into the soil. Particularly due to its changing properties in terms of thickness, physical properties and water repellency, which are largely unknow, specifically the spatial and temporal patterns. Overall leaching of dissolved organic matter (DOM) or dissolved organic carbon (DOC) from the FF into the soil are essential to describe the carbon balance of the FF. This proposal will study the spatial and temporal patterns of water fluxes in the FF in detail, linking its form and structure to the hydrological processes. This will be achieved by applying new forest floor grid-lysimeter, which include continuous in-situ measurements and DOM in the percolating water and novel experiments using wetting agents and dye tracer. But also the larger spatial patterns of FF thickness, type, vegetation and other properties will be measured and analyzed. We will link for the first time the spatial and temporal variability to the fluxes of DOM/DOC, as well as feedback mechanism to the atmosphere. This is even more relevant, when considering short and long-term changes of the FF due to climate change and changes in the composition of tree species including effects of droughts or warmer temperatures. The role of P1 in the FF-RU is to understand the hydrological properties and services of FF and their central role in water and nutrient fluxes as well as provide input for ecological modelling and many baseline datasets.