Continental Scale Biogeochemical Cycles in the Amazon: A Riverine Perspective

这个项目将测试工作的假设，“ 各化学物种的分布遵循 可预测的年型，年际变率下降 在放电效应驱动的特征“包络线”内 关于（a）支流输入的序列，可以描述为 通过区域色谱模型（B）原位碳氧化， 其通过动态平衡来维持，以及（c） mainstemvarzea联系，这是盆地结构的功能 功能. 具体研究目标包括： 目的1.区域色谱仪的研制 区域尺度研究范式（2）考察化学基础 一个区域色谱模型 (3)发展 模拟水、化学物质和沉积物路径的能力 子流域尺度，以及（4）开发一个采样网络， 支流流域和上游采样。 目标2：主动力学：（1）确定年际 通过延续Marchantaria月时间序列的变异性 常规参数，并在这些参数中添加更详细的 化学表征和维护数据输入， DNAEE水文数据库。 (2)审视“动态 通过对生物成因模式的分析， 气体，细菌碳动力学，时间变异性，无机 组合物，以及选择的N和P形式。 (3)建模主线 路由和主潮漫滩交换通过延长 二维水动力学模型，结合遥感 水和沉积物交换数据。 该研究与解决重大生态问题有关。 在全球经济展望范围内的大陆规模问题 变化 过去的工作是富有成效的， 与巴西科学家的合作非常好。

This project will test the working hypothesis that "the distributions of the respective chemical species follow a predictable annual pattern, with interannual variability falling within a characteristic 'envelope' driven by discharge effects on the sequences of (a) tributary inputs, which can be described by a regional chromatography model (b) in situ carbon oxidation, which is maintained through a dynamic equilibrium, and (c) mainstemvarzea linkages, which are a function of basin structural features. Specific research objectives include: Objective 1. The Regional Chromatograph: (1) Developing a regional-scale research paradigm (2) Examining the chemical basis for a regional chromatographic model. (3) Developing the capability to model water, chemical, and sediment routing at subbasin scales, and (4) Developing a sampling network for tributary basin and upriver sampling. Objective 2: Mainstem Dynamics: (1) Determining interannual variability by continuing the Marchantaria monthly time series for routine parameters and augmenting these with more detailed chemical characterizations and maintaining data input from the DNAEE hydrologic data base. (2) Examining the "dynamic equibrium" concept through analyses of the patterns of biogenic gases, bacterial carbon dynamics, temporal variability inorganic composition, and selected N and P forms. (3) Modeling mainstem routing and mainstem-floodplain exchange through the extension of a 2-dimensional hydrodynamic model, incorporating remote sensing data on water and sediment exchange. The research is pertinent to resolution of major ecological questions at the continental scale within the preview of global change. Past work has been productive, and collaborative arrangements with Brazilian scientists are excellent.