Forest hydrology and biomass modeling: DOC and DON

这项研究提出了一种简单但在理论上和数值上稳健的基于过程的建模方法，以量化旱地和湿地中溶解有机碳(DOC)和氮(DON)的产生、释放和传输，这些过程受到森林凋落物类型、水热地表条件、每日全年天气和气候变化的影响。这一建议源于我们对最近文献、模型和数据的回顾，以及我们最近对新斯科舍省西南部河流和土壤溶液中DOC、DON和水色的研究。这项研究揭示了旱地湿地DOC浓度尚未量化的季节性和年际对比，旱地土壤DOC浓度在春季、夏季到秋季或秋末到冬初达到峰值。湿地DOC浓度在夏季至初秋达到峰值的时间相当一致。拟议的研究包括：1.为期5年的工作，为各种凋落物类型和立地条件的DOC-DON模型生成数据，用于气候影响的森林生物量、C和养分循环模型。2.一项详细的DOC-DON采样研究，同时对每个拟议采样点(土壤水分、温度、入渗、渗漏、交汇等)进行全面的水热评估，评估受日常天气、森林覆盖和地面覆盖以及土层属性，如深度、容重、质地、有机质和粗碎屑的影响。水热预测将通过现场土壤水分和温度监测和记录来验证。3.深入审查已公布的DOC和DON生产以及旱地-湿地运输数据和模型，以便进行详细的多模型比较。4.得到的DOC-DON模型的普遍应用；这需要识别影响DOC的流动路径模式，使用联合国环境规划署开发的程序，以10米或更高的分辨率划定流动路径和湿区。5.进一步探讨由此产生的DOC-DON模型在若干研究和环境管理方面的潜在作用。

This research advances a simplified yet theoretically and numerically robust process-based modeling approach to quantify the production, release and transport of dissolved organic carbon (DOC) and nitrogen (DON) from uplands and wetlands, as affected by forest litter type, hydro-thermal ground conditions, and daily year-round weather, and climate change. This proposal originates from our review of recent literature, models and data, and our recent study on DOC, DON and water colour in streams and soil solutions in south-western Nova Scotia. This study revealed as-yet un-quantified seasonal and year-by-year contrasts in upland-wetland DOC concentrations, which peak in upland soil solutions during spring, or summer to fall, or late fall to early winter. Wetland DOC concentrations peak fairly consistently in summer to early fall. The proposed research involves: 1. A 5-year effort, to generate data for DOC-DON modeling for a wide range of litter types and site conditions, to be of use in climate-affected forest biomass, C, and nutrient cycling modeling. 2. A detailed DOC-DON sampling study, accompanied with a comprehensive hydro-thermal assessment for each of the proposed sampling sites (soil moisture, temperature, infiltration, percolation, interflow, etc.), as affected by daily weather, forest cover and ground-cover , and soil-layer attributes such as depth, bulk density, texture, organic matter and coarse fragments. Hydro-thermal projections will be verified by in-situ soil moisture and temperature monitoring and recording. 3. An in-depth review of published DOC and DON production and upland-wetland transport data and models, to allow for a detailed multi-model comparison. 4. A generalized application of the resulting DOC-DON model; this requires the discerning of DOC-affecting flow-path patterns, using the UNB developed process to delineate flow paths and wet-areas, at 10 m resolution or better. 5. Further exploring potential roles of the resulting DOC-DON model in several research and environmental management contexts.