Network Cluster CINet: Critical Interface Network in Intensively Managed Landscapes

网络集群 CINet：集中管理环境中的关键接口网络

• 批准号: 2012850
• 负责人: Praveen Kumar
• 金额: $ 617.5万
• 依托单位: University of Illinois at Urbana-Champaign
• 依托单位国家: 美国
• 项目类别: Cooperative Agreement
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-09-01 至 2025-08-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2012850&HistoricalAwards=false
• 关键词: Network; Cluster; CINet; Critical; Interface

Agricultural lands throughout the world are intensively managed to achieve high levels of crop production. In the US Midwest, intensive management includes frequent working of the soil through tillage, widespread application of fertilizers, and efforts to improve the flow of water off of flat, poorly drained fields by installing pipes within the soil and by enlarging streams. Although these activities enhance crop production, over time they induce changes that can degrade the environmental quality of soil and water, not only locally but far downstream. Sustaining agricultural production while protecting environmental quality depends on an understanding of how natural processes are linked with intensive landscape management. This project seeks to advance understanding of important elements that act as “Critical Interfaces” and play important roles in regulating hydrological, biological, ecological, geological, and chemical processes on which agricultural production and environmental quality depend. Important critical interfaces examined in the project include the soil surface, the root zone in the soil, and river corridors. The project examines the extent to which these critical interfaces are interconnected and control the response of the environment. Using a network of observational sites across the US Midwest having different climates, topography, geologic history, and other landscape attributes, this project will provide a comprehensive understanding of how various components of intensively managed landscapes function together to influence, and be influenced by, high levels of agricultural production. The outcomes of this research will provide basic knowledge and new predictive capabilities for developing sustainable and resilient agro-ecosystems. The project will contribute to society by developing a strong STEM workforce that can tackle multidisciplinary issues, establishing programs to engage community members in critical zone science, communicating results to the public, and facilitating venues for professional development and certifications, and working with citizen groups and stakeholders to communicate findings and gather feedback throughout the course of the project.Critical zone dynamics in intensively managed landscapes (IMLs) do not operate uniformly over time and space. They are intermittent and concentrated at critical interfaces (CIs) of exceptional importance for regulating material (i.e., water, sediment, carbon and nutrients) storage, transport and transformations. The central hypothesis of this research is that the dynamics of critical interfaces exert disproportionately large control on the overall dynamics of critical zones at the landscape scale; and since these critical interfaces are undergoing rapid and co-evolutionary transition due to human and weather stressors across spatial and temporal scales, they constitute the most limiting elements for predictive understanding to guide sustainable management of IMLs. Using a network of observational sites across key environmental gradients, with novel data analytic and integrated modeling approaches, this project will advance understanding of critical interfaces individually as well as their interdependencies to overcome predictability bottlenecks of hydrobiogeochemical phenomena and their trajectories in IMLs from the small scale to the landscape scale, and from the event time scale to seasonal, inter-annual and decadal time scales. The study focuses on three interfaces that are strongly influenced by human action: the near-land surface, the active root zone, and the stream corridor. The project leverages existing infrastructure and knowledge from a network of sites in the glaciated parts of US Midwest and outer reaches of the upper Mississippi River basin, as well as critical zone international networks. The sites, which include CZOs, LTARs and the Great Rivers Ecological Observation Network, incorporate a wide range of geologic, weather, soil, land use and geomorphologic gradients. Synthesis of this work will offer new predictive capability to earthcast critical zone dynamics across the globe to advance convergent research of the human influence on life-sustaining resources and improve our ability to significantly reduce predictive uncertainty and advance environmental sustainability goals. In collaboration with the National Great Rivers Research and Education Center, a program of Lewis and Clark Community College in Godfrey, Illinois, the project will further provide training and education for postdoctoral associates, undergraduate and graduate students, community-college students, and high-school teachers, while engaging stakeholders and members of the broader communities. This project is jointly funded by the Critical Zone Collaborative Network, Geobiology and Low-Temperature Geochemistry, Hydrologic Sciences, and Geomorphology and Land-Use Dynamics programs in the Division of Earth Sciences.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.

世界各地的农业土地都经过集约化管理，以实现高水平的农作物生产。在美国中西部，集约化管理包括通过耕作频繁地耕作、广泛施用化肥以及努力改善平坦、贫瘠土地的水流。通过在土壤中安装管道和扩大溪流来排干田地，虽然这些活动提高了作物产量，但随着时间的推移，它们会导致土壤和水的环境质量下降，不仅影响当地，而且影响下游地区。取决于对的理解该项目旨在加深对作为“关键界面”的重要元素的理解，并在调节农业生产和环境质量所依赖的水文、生物、生态、地质和化学过程中发挥重要作用。该项目检查的重要关键界面包括土壤表面、土壤中的根区和河流走廊，该项目检查这些关键界面的互连程度并使用观测网络控制环境的响应。美国中西部各地的站点都有不同的气候、地形、地质历史和其他景观属性，该项目将全面了解集约化管理景观的各个组成部分如何共同影响高水平的农业生产，以及如何受到高水平农业生产的影响。该项目将通过培养强大的 STEM 劳动力来解决多学科问题，制定让社区成员参与关键区域科学的计划，向公众传达结果，从而为社会做出贡献。并为专业发展和促进场所提供便利集约化管理景观（IML）中的关键区域动态在时间和空间上并不统一，它们是间歇性的，集中在关键界面。 CIs）对于调节物质（即水、沉积物、碳和养分）的储存、运输和转化具有极其重要的作用。这项研究的中心假设是，关键界面的动力学对关键区域的整体动力学有着不成比例的巨大控制。由于跨空间和时间尺度的人类和天气压力，这些关键界面正在经历快速和共同进化的转变，因此它们构成了利用观测网络指导 IML 可持续管理的预测性理解的最大限制因素。跨关键环境梯度的站点，通过新颖的数据分析和集成建模方法，该项目将促进对各个关键界面及其相互依赖性的理解，以克服水生地球化学现象及其在 IML 中的轨迹的可预测性瓶颈该研究重点关注受人类活动影响的三个界面：近地表、活动根区和根系区域。该项目利用了美国中西部冰川地区和密西西比河流域上游外流地区的现有基础设施和知识，以及关键区域的国际网络，其中包括 CZO、LTAR 和大河生态观测网络涵盖了广泛的地质、天气、土壤、土地利用和地貌梯度，这项工作的综合将为全球关键区域动态提供新的预测能力，以推进人类对生命维持影响的融合研究。该项目将与伊利诺伊州戈弗雷刘易斯和克拉克社区学院的国家大河流研究和教育中心合作，进一步提供培训和教育。该项目由关键区域合作网络、地球生物学和低温地球化学、水文科学共同资助。 ，以及地球科学部的地貌学和土地利用动力学项目。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估，被认为值得支持。

项目成果

Virtual laboratory for understanding impact of heterogeneity on ecohydrologic processes across scales

用于了解异质性对跨尺度生态水文过程影响的虚拟实验室

• DOI: 10.1016/j.envsoft.2021.105283
• 发表时间: 2022
• 期刊: Environmental Modelling & Software
• 影响因子: 4.9
• 作者: Wang, Kunxuan;Kumar, Praveen
• 通讯作者: Kumar, Praveen

Causal interaction in high frequency turbulence at the biosphere–atmosphere interface: Structure–function coupling

生物圈-大气界面高频湍流的因果相互作用：结构-功能耦合

• DOI: 10.1063/5.0131469
• 发表时间: 2023
• 期刊: Chaos: An Interdisciplinary Journal of Nonlinear Science
• 作者: Hernandez Rodriguez, Leila Constanza;Kumar, Praveen
• 通讯作者: Kumar, Praveen

Storm-Induced Dynamics of Particulate Organic Carbon in Clear Creek, Iowa: An Intensively Managed Landscape Critical Zone Observatory Story

• DOI: 10.3389/frwa.2020.578261
• 发表时间: 2020-10
• 作者: Jieun Kim;N. Blair;A. Ward;K. Goff

Inside the flux footprint: The role of organized land cover heterogeneity on the dynamics of observed land-atmosphere exchange fluxes

通量足迹内部：有组织的土地覆盖异质性对观测到的陆地-大气交换通量动态的作用

• DOI: 10.3389/frwa.2023.1033973
• 发表时间: 2023
• 期刊: Frontiers in Water
• 影响因子: 2.9
• 作者: Hernandez Rodriguez, Leila C.;Goodwell, Allison E.;Kumar, Praveen
• 通讯作者: Kumar, Praveen

Chains of Spatial and Temporal Precipitation Occurrence Predictability Across the Continental U.S.

美国大陆的时空降水发生链的可预测性

• DOI: 10.3389/fclim.2021.780879
• 发表时间: 2021
• 期刊: Frontiers in Climate
• 作者: Goodwell, Allison;Chapagain, Ritzwi
• 通讯作者: Chapagain, Ritzwi