MRA: Continental scale controls on instream and catchment contributions to greenhouse gas fluxes from rivers

该项目的主要目标是对美国河流排放到大气中的温室气体进行可靠和合理的估计，并预测这些气体排放在未来几十年可能如何变化。河流排放的温室气体既有来自周围流域的，也有河流生物产生的。河流和流域的特征，如河流结构，地下水交换，藻类生产，呼吸，温度和贡献土地类型可以影响河流产生和释放二氧化碳和其他温室气体的速率。然而，缩放这些已知的因素，以连续的，广泛的河流温室气体动态预测仍然很困难，因为有限的采样时间和地点在这一广阔的一套变量。 对于国家生态观测网（氖）中的河流监测点，这种数据限制现已得到克服。研究人员将利用从美国26个氖河站点收集的数据，建立连续气体排放模型。我们将利用流域和通道特征的广泛变化，建立统计模型，使我们能够估计整个大陆的河流温室气体通量，并确定那些气体排放最有可能对温度上升或水文变化做出强烈反应的地点。该项目还将对包括代表性不足的群体在内的早期职业科学家进行野外生态学和大型数据集处理和解释方面的培训，以更好地预测全球变化。该提案旨在回答三个问题：（1）温室气体（GHG）通量如何在美国大陆的溪流和河流之间变化？(2)什么样的河道和集水区特性与河流中最高的二氧化碳、甲烷和一氧化二氮排放量有关？以及（3）什么信道特性与最高瞬时贡献相关联（例如，初级生产和呼吸）对河流温室气体排放的影响？利用国家生态观测网络（氖）在其26个可涉水河流位置收集的水文、地球化学和地貌数据的多样化组合，我们将利用0级数据（包括对水道和地下水中温室气体浓度和溶质化学的离散估计沿着对水文、pH值、电导率的连续测量，和溶解氧），以建立对所有26个站点的年度温室气体排放量的可靠估计。我们将这些温室气体通量与流代谢，地下水流入率，地下水-地表水温室气体交换的同步估计，并使用再氧模型来区分instinctions和流域衍生的温室气体贡献河流温室气体通量。我们将在氖站点的子集和北卡罗来纳州的一个现场进行密集的实地工作，以完善和测试我们的数据导出模型，我们在那里进行详细的实证研究。该奖项反映了NSF的法定使命，并被认为值得通过使用基金会的知识价值和更广泛的影响审查标准进行评估来支持。

The primary goal of this project is to derive a robust and defensible estimate of the greenhouse gases emitted to the atmosphere from the rivers of the United States and to build predictions of how these gas emissions are likely to change in coming decades. The greenhouse gases emitted from rivers are both delivered from their surrounding watersheds and produced by river organisms. River and watershed characteristics such as river structure, groundwater exchange, algal production, respiration, temperature, and contributing land types can affect the rates at which rivers produce and release carbon dioxide and other greenhouse gases. However, scaling these known factors to continuous, widespread predictions of river greenhouse gas dynamics remains difficult because of limited sampling times and locations across this expansive suite of variables. This data limitation has now been overcome for river monitoring sites included in the National Ecological Observatory Network (NEON). Using data collected from 26 NEON river sites across the United States, researchers will build models of continuous gas emissions. We will take advantage of the wide variation in watershed and channel characteristics across sites to build statistical models that allow us to estimate riverine greenhouse gas fluxes across the entire continent, and to identify those sites where gas emissions are most likely to respond strongly to rising temperatures or altered hydrology. This project will also train early-career scientists, including underrepresented groups, in field ecology and the processing and interpretation of large data sets to make better predictions of global change.This proposal seeks to answer three questions: (1) How do greenhouse gas (GHG) fluxes vary across streams and rivers of the continental U.S.? (2) What channel and catchment properties are associated with the highest riverine releases of carbon dioxide, methane, and nitrous oxide from rivers? and (3) what channel characteristics are associated with the highest instream contribution (e.g., primary production and respiration) to riverine GHG emissions? Using the diverse portfolio of hydrologic, biogeochemical, and geomorphic data collected by the National Ecological Observatory Network (NEON) at its 26 wadeable stream locations, we will leverage level 0 data (including discrete estimates of GHG concentrations and solute chemistry in the channel and in groundwater along with continuous measures of hydrology, pH, conductivity, and dissolved oxygen from the channel) to build robust estimates of annual GHG emissions from all 26 sites. We will link these GHG fluxes with concurrent estimates of stream metabolism, rates of groundwater inflow, and groundwater-surface water GHG exchange, and use reaeration models to discriminate between instream and catchment derived GHG contributions to riverine GHG fluxes. We will refine and test our data-derived models with intensive field work at a subset of NEON sites and at a field site in North Carolina where we conduct detailed empirical research.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.