National Ecological Observatory Network: Operations Activities
National Ecological Observatory Network: Operations Activities
批准号:
1724433
负责人:
Paula Mabee
金额:
$12803.04万
依托单位国家:
美国
项目类别:
Cooperative Agreement
财政年份:
2017
资助国家:
美国
项目状态:
已结题
起止时间:
2017-11-01 至 2024-10-31
中文摘要
国家生态观测站网络(NEON)提供了一个标准化的仪器和观测平台,能够测量从地方到大陆尺度的生物圈的结构、组成、过程和动态。NEON是第一个大陆规模的设施,旨在对环境变化的原因和响应进行生态研究。它通过原位传感能力、生物测量、机载遥感和通过网络基础设施主干交付的数据产品提供这种能力,确保社区访问这些资源。NEON支持一个庞大而多样化的利益相关者群体——生态学家、教育工作者、政策制定者和工程师——他们在研究、管理和培训项目中使用NEON的基础设施和数据。NEON提供的数据有助于采用协作、创新、多学科的方法来教育本科生和研究生。教育和培训计划包括工作坊、研讨会、教程和数据木工课程。NEON通过一个利用NEON的分布式特性和当地生态领域的专业知识来促进更广泛的社区参与的项目,从服务不足的社区和少数民族社区招募个人。该奖项授予巴特尔纪念研究所(BMI/Battelle),将运营NEON三年(2018 - 2020财年)。第一年的业务是在施工完成后进行的,而第二年和第三年是在施工完成后进行的。该奖项支持NEON运作的科学、技术和人力资源需求。在这个运营阶段,BMI正在探索整个天文台网络的效率,这将为全面运营提供信息,同时保持向科学界提供的数据产品的科学完整性。BMI也在加强与科学界的接触,通过咨询小组的利用、研讨会的推广和其他方法来提高认识和使用。初始作业期间的活动为处理压力源(如土地利用变化和入侵物种等环境因素)对区域和大陆尺度生态过程的影响提供了必要的数据。NEON首次提供了一个高度协调的国家基础设施,用于在多个空间和时间尺度上监测关键生态特性。NEON基础设施部署在横跨美国大陆、阿拉斯加、夏威夷和波多黎各的20个生态域。包括81个观测点(47个陆地观测点,34个水上观测点),以及互补的空中遥感活动。预计操作计划将摄取数据,监控数据质量,并将数据处理为涉众可以广泛访问的可用产品。此外,NEON还以可转让资产的形式提供研究基础设施,以支持社区驱动的研究和教育活动。
英文摘要
The National Ecological Observatory Network (NEON) provides a standardized instrumentation and observational platform with the capability to measure the structure, composition, processes, and dynamics of the biosphere from local to continental scales. NEON is the first continental-scale facility designed to enable ecological research on the causes of and responses to environmental change. It provides this capability through in situ sensing capabilities, biological measurements, airborne remote sensing, and data products delivered through a cyberinfrastructure backbone that ensures community access to these resources. NEON supports a large and diverse group of stakeholders - ecologists, educators, policy makers, and engineers - who use the NEON infrastructure and data in their research, management and training programs. Data provided by NEON contributes to collaborative, innovative, multi-disciplinary approaches to educate undergraduate and graduate students. Education and training initiatives include workshops, seminars, tutorials, and data carpentry courses. NEON recruits individuals from underserved and minority communities, through a program that capitalizes on the distributed nature of NEON and the expertise at localized ecological domains to promote broader community engagement.This award to the Battelle Memorial Institute (BMI/Battelle) is to operate the NEON for three years (FY 2018 - 20). The first year of operations is being performed as construction is finalized, while the second and third years occur after construction is complete. The award supports the scientific, technical and human resource requirements of NEON operations. During this operations phase, BMI is exploring efficiencies across the observatory network that will inform full operations, while maintaining the scientific integrity of the data products being provided to the scientific community. BMI is also ramping up engagement with the scientific community to increase awareness and use through the utilization of advisory groups, outreach through workshops, and other approaches. Activities during initial operations provide data essential for addressing the effect of stressors, such as land use change and invasive species, among other environmental factors, on regional and continental scale ecological processes. NEON provides, for the first time, a highly coordinated national infrastructure for monitoring critical ecological properties at multiple spatial and temporal scales. The NEON infrastructure is deployed across 20 ecological domains that span the continental United States, Alaska, Hawaii, and Puerto Rico. Included are 81 observation sites (47 terrestrial, 34 aquatic), along with complementary remote sensing airborne activities. The operations plan is expected to ingest data, monitor data quality, and process data into useable products that are broadly accessible to stakeholders. Additionally, NEON provides research infrastructure in the form of assignable assets to support community-driven research and educational activities.
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A comparison of water quality sensor deployment designs in wadeable streams
可涉水溪流中水质传感器部署设计的比较
DOI:
10.1002/lom3.10452
发表时间:
2021
期刊:
Limnology and Oceanography: Methods
影响因子:
--
作者:
[Hensley, Robert, Harrison, Nicolas, Goodman, Keli, Cawley, Kaelin, Litt, Guy, Nance, Bryce, Catolico, Nora]
通讯作者:
Catolico, Nora
Temporal design for aquatic organismal sampling across the National Ecological Observatory Network
国家生态观测站网络水生生物采样的时间设计
DOI:
10.1111/2041-210x.13944
发表时间:
2022
期刊:
Methods in Ecology and Evolution
影响因子:
6.6
作者:
[Parker, Stephanie M., Utz, Ryan M.]
通讯作者:
Utz, Ryan M.
DOI:
10.1007/s10546-020-00513-0
发表时间:
2020-04
期刊:
Boundary-Layer Meteorology
影响因子:
4.3
作者:
[Ke Xu;M. Sühring;S. Metzger;D. Durden;A. Desai]
通讯作者:
Ke Xu;M. Sühring;S. Metzger;D. Durden;A. Desai
A Comparison of Multitemporal Airborne Laser Scanning Data and the Fuel Characteristics Classification System for Estimating Fuel Load and Consumption
多时相机载激光扫描数据与用于估算燃油负荷和消耗的燃油特性分类系统的比较
DOI:
10.1029/2021jg006733
发表时间:
2022
期刊:
Journal of Geophysical Research: Biogeosciences
影响因子:
--
作者:
[McCarley, T. Ryan, Hudak, Andrew T., Restaino, Joseph C., Billmire, Michael, French, Nancy H. F., Ottmar, Roger D., Hass, Bridget, Zarzana, Kyle, Goulden, Tristan, Volkamer, Rainer]
通讯作者:
Volkamer, Rainer
DOI:
10.3389/fevo.2020.612794
发表时间:
2021-01
期刊:
影响因子:
--
作者:
[S. Record;Nicole M. Voelker;P. Zarnetske;Nathan I. Wisnoski;J. Tonkin;C. Swan;L. Marazzi;Nina K. Lany-Nina]
通讯作者:
S. Record;Nicole M. Voelker;P. Zarnetske;Nathan I. Wisnoski;J. Tonkin;C. Swan;L. Marazzi;Nina K. Lany-Nina
共 69 条
NEON Operations and Maintenance: Evolving from a Strong Foundation
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批准号:2217817
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项目类别:Cooperative Agreement
-
资助金额:$41589.89万
-
财政年份:2023
-
负责人:Paula Mabee
-
依托单位:
National Ecological Observatory Network Governing Cooperative Agreement
-
批准号:2346114
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项目类别:Cooperative Agreement
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资助金额:$0.0万
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财政年份:2023
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负责人:Paula Mabee
-
依托单位:
Collaborative Research: Biology-guided neural networks for discovering phenotypic traits
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批准号:2022042
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项目类别:Continuing Grant
-
资助金额:$42.44万
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财政年份:2020
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负责人:Paula Mabee
-
依托单位:
Collaborative Research: Biology-guided neural networks for discovering phenotypic traits
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批准号:1940340
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项目类别:Continuing Grant
-
资助金额:$42.52万
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财政年份:2019
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负责人:Paula Mabee
-
依托单位:
National Ecological Observatory Network
-
批准号:1638694
-
项目类别:Cooperative Agreement
-
资助金额:$0.0万
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财政年份:2016
-
负责人:Paula Mabee
-
依托单位:
National Ecological Observatory Network: Operations Activities
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批准号:1638696
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项目类别:Cooperative Agreement
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资助金额:$9129.63万
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财政年份:2016
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负责人:Paula Mabee
-
依托单位:
Collaborative research: ABI Development: Ontology-enabled reasoning across phenotypes from evolution and model organisms
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批准号:1062542
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项目类别:Continuing Grant
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资助金额:$181.77万
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财政年份:2011
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负责人:Paula Mabee
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依托单位:
Linking Evolution to Genomics Using Phenotype Ontologies
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批准号:0641025
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项目类别:Continuing Grant
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资助金额:$0.0万
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财政年份:2007
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负责人:Paula Mabee
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依托单位:
AToL: Collaborative Research: Systematics of Cypriniformes, Earth's Most Diverse Clade of Freshwater Fishes
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批准号:0431290
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项目类别:Continuing Grant
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资助金额:$0.0万
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财政年份:2004
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负责人:Paula Mabee
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依托单位:
A Comparative Experimental Study of Cranial Development in Teleosts
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批准号:9896253
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项目类别:Continuing Grant
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资助金额:$7.32万
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财政年份:1998
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负责人:Paula Mabee
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依托单位:
A Comparative Experimental Study of Cranial Development in Teleosts
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批准号:9408287
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项目类别:Continuing Grant
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资助金额:$25.0万
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财政年份:1994
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负责人:Paula Mabee
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依托单位:
PRF/J: Dermal Bone/Neuromast Relationships in Anabantoid Fishes (Perciformes: Anabantoidei)
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批准号:8821241
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项目类别:Fellowship Award
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资助金额:$5.88万
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财政年份:1989
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负责人:Paula Mabee
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依托单位:
海外基金