Planning for the Ozark Research Field Station at Missouri S&T
密苏里南州奥扎克研究现场站规划
基本信息
- 批准号:1723147
- 负责人:
- 金额:$ 2.5万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2017
- 资助国家:美国
- 起止时间:2017-08-01 至 2023-07-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Missouri University of Science & Technology (Missouri S&T) is developing a 5-year planning effort for a new field station, the Ozark Research Field Station (ORFS) located in the Mill Creek watershed. The field station will serve a variety of research, teaching, and outreach missions of the university. The ORFS has already provided an excellent venue for experiential learning. Students have conducted research projects as part of 7 classes taught at the field station, and for independent research credit. Missouri S&T has recently implemented an experiential learning requirement for all undergraduates, and data from field station classes can be used in assessing learning outcomes of the requirement. The Mill Creek watershed also provides a great setting for novel research. Sites along the stream have varying hydroperiods that can serve as a natural experiment for examining the effects of droughts from climate change on such streams. Several animal taxa in the watershed are endangered or of concern, while other taxa are of recreational interest, such as trout, turkey, and deer. Conservation and restoration programs for these and other taxa can be evaluated for their effectiveness as a guide for wider implementation. The ORFS will serve to introduce students, local residents, and a diverse constituency to the value of Ozark ecosystems and field research. Outreach opportunities with local K-12 schools, community groups, and others are envisioned. Several outreach events have already taken place at the field station and the surrounding area. A large BioBlitz occurred in the watershed recently, involving over 80 scientists and citizens in a large-scale inventory of biota along with a trash cleanup and festival.The planning effort will include three goals: 1) Establish an advisory board of on-campus faculty and staff, local stakeholders and collaborators from government agencies, and representatives from other field stations in Missouri and around the country. This advisory board will hold meetings at the ORFS, and the ORFS leaders will visit other field stations. 2) Expand the capabilities and opportunities at the field station in the next few years. This goal will focus on the growth of the research, teaching, and outreach programs for users from Missouri S&T, other campuses, government agencies, and local communities. In addition to university personnel, several key groups, such as Missouri Stream Teams and Master Naturalists, will benefit from activities and access to the station. Also, the Newburg Children?s Museum and the Kaleidoscope Discovery Center, two local science museums, can use the field station for educational activities. 3) Adopt a 5-year strategic plan based on feedback from the advisory board. This plan will guide the next steps in developing the ORFS to fulfill its missions of research, teaching, and outreach.
密苏里科技大学(Missouri University of Science & Technology,简称密苏里大学)正在为一个新的野外研究站(Ozark Research field station,简称ORFS)制定一项5年计划,该研究站位于米尔克里克流域。实地站将服务于大学的各种研究、教学和外展任务。ORFS已经为体验式学习提供了一个绝佳的场所。学生们已经完成了研究项目,作为在野外研究站教授的7门课程的一部分,并获得了独立研究学分。密苏里大学最近对所有本科生实施了一项体验式学习要求,来自实地站课程的数据可用于评估该要求的学习结果。米尔溪流域也为新的研究提供了一个很好的环境。沿着河流的地点有不同的水期,可以作为一个自然实验来研究气候变化对这些河流的干旱影响。该流域的一些动物类群濒临灭绝或受到关注,而其他类群则具有娱乐价值,如鳟鱼、火鸡和鹿。这些和其他分类群的保护和恢复计划可以评估其有效性,作为更广泛实施的指导。ORFS将向学生、当地居民和各种选民介绍奥扎克生态系统和实地研究的价值。与当地K-12学校,社区团体和其他机构的拓展机会。在实地站和周围地区已经举行了几次外联活动。最近,一场大型的生物闪电战(BioBlitz)在该流域展开,80多名科学家和市民参与了一场大规模的生物群盘点活动,同时还举行了垃圾清理和节日活动。规划工作将包括三个目标:1)建立一个由校内教职员工、当地利益相关者和政府机构的合作者以及密苏里州和全国其他实地站的代表组成的咨询委员会。该咨询委员会将在ORFS举行会议,ORFS领导人将访问其他实地站。2)在未来几年内扩大外地站的能力和机会。这一目标将侧重于为密苏里大学、其他校园、政府机构和当地社区的用户提供研究、教学和外展计划的增长。除了大学人员外,几个关键团体,如密苏里溪队和自然学家大师,将从活动中受益,并可以进入该站。还有纽堡儿童?美国国家博物馆和万花筒探索中心这两个当地的科学博物馆可以利用这个野外观测站进行教育活动。3)根据咨询委员会的反馈,制定5年战略计划。该计划将指导ORFS的下一步发展,以完成其研究、教学和推广的使命。
项目成果
期刊论文数量(6)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Using Camera Traps to Evaluate Predator Urine Avoidance by Nuisance Wildlife at a Rural Site in Central Missouri, U.S.A.
在美国密苏里州中部的一个农村地区,使用相机陷阱来评估滋扰野生动物对捕食者尿液的回避情况
- DOI:
- 发表时间:2020
- 期刊:
- 影响因子:0
- 作者:Yocom-Russell, Cara Jean;Verble, Robin M.
- 通讯作者:Verble, Robin M.
Simulating rewetting events in intermittent rivers and ephemeral streams: A global analysis of leached nutrients and organic matter
- DOI:10.1111/gcb.14537
- 发表时间:2019-05-01
- 期刊:
- 影响因子:11.6
- 作者:Shumilova, Oleksandra;Zak, Dominik;Zarfl, Christiane
- 通讯作者:Zarfl, Christiane
A global analysis of terrestrial plant litter dynamics in non-perennial waterways
- DOI:10.1038/s41561-018-0134-4
- 发表时间:2018-07-01
- 期刊:
- 影响因子:18.3
- 作者:Datry, T.;Foulquier, A.;Zoppini, A.
- 通讯作者:Zoppini, A.
Beyond A Vision for The Future: Tangible Steps To Engage Diverse Participants in Inclusive Field Experiences
超越未来愿景:让不同参与者参与包容性现场体验的切实步骤
- DOI:10.1093/icb/icad063
- 发表时间:2023
- 期刊:
- 影响因子:2.6
- 作者:Verble, Robin M.;Richards-Zawacki, Corinne L.;Young, Vanessa K. H.
- 通讯作者:Young, Vanessa K. H.
Best Practices to Promote Field Science Safety
促进现场科学安全的最佳实践
- DOI:10.1093/icb/icad014
- 发表时间:2023
- 期刊:
- 影响因子:2.6
- 作者:Yarincik, Kristen;Kelly, Anne;McGlynn, Terry;Verble, Robin M.
- 通讯作者:Verble, Robin M.
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Dev Niyogi其他文献
Improving the Forecasting of Winter Wheat Yields in Northern China with Machine Learning–Dynamical Hybrid Subseasonal-to-Seasonal Ensemble Prediction
- DOI:
https://doi.org/10.3390/rs14071707 - 发表时间:
2022 - 期刊:
- 影响因子:5
- 作者:
Junjun Cao;Huijing Wang;Jinxiao Li;Qun Tian;Dev Niyogi - 通讯作者:
Dev Niyogi
Systematic review of the efficacy of data-driven urban building energy models during extreme heat in cities: Current trends and future outlook
- DOI:
10.1007/s12273-024-1112-y - 发表时间:
2024-03-11 - 期刊:
- 影响因子:5.900
- 作者:
Nilabhra Mondal;Prashant Anand;Ansar Khan;Chirag Deb;David Cheong;Chandra Sekhar;Dev Niyogi;Mattheos Santamouris - 通讯作者:
Mattheos Santamouris
Unravelling large-scale patterns and drivers of biodiversity in dry rivers
揭示干旱河流中生物多样性的大规模模式和驱动因素
- DOI:
10.1038/s41467-024-50873-1 - 发表时间:
2024-08-22 - 期刊:
- 影响因子:15.700
- 作者:
Arnaud Foulquier;Thibault Datry;Roland Corti;Daniel von Schiller;Klement Tockner;Rachel Stubbington;Mark O. Gessner;Frédéric Boyer;Marc Ohlmann;Wilfried Thuiller;Delphine Rioux;Christian Miquel;Ricardo Albariño;Daniel C. Allen;Florian Altermatt;Maria Isabel Arce;Shai Arnon;Damien Banas;Andy Banegas-Medina;Erin Beller;Melanie L. Blanchette;Joanna Blessing;Iola Gonçalves Boëchat;Kate Boersma;Michael Bogan;Núria Bonada;Nick Bond;Katherine Brintrup;Andreas Bruder;Ryan Burrows;Tommaso Cancellario;Cristina Canhoto;Stephanie Carlson;Núria Cid;Julien Cornut;Michael Danger;Bianca de Freitas Terra;Anna Maria De Girolamo;Rubén del Campo;Verónica Díaz Villanueva;Fiona Dyer;Arturo Elosegi;Catherine Febria;Ricardo Figueroa Jara;Brian Four;Sarig Gafny;Rosa Gómez;Lluís Gómez-Gener;Simone Guareschi;Björn Gücker;Jason Hwan;J. Iwan Jones;Patrick S. Kubheka;Alex Laini;Simone Daniela Langhans;Bertrand Launay;Guillaume Le Goff;Catherine Leigh;Chelsea Little;Stefan Lorenz;Jonathan Marshall;Eduardo J. Martin Sanz;Angus McIntosh;Clara Mendoza-Lera;Elisabeth I. Meyer;Marko Miliša;Musa C. Mlambo;Manuela Morais;Nabor Moya;Peter Negus;Dev Niyogi;Iluminada Pagán;Athina Papatheodoulou;Giuseppe Pappagallo;Isabel Pardo;Petr Pařil;Steffen U. Pauls;Marek Polášek;Pablo Rodríguez-Lozano;Robert J. Rolls;Maria Mar Sánchez-Montoya;Ana Savić;Oleksandra Shumilova;Kandikere R. Sridhar;Alisha Steward;Amina Taleb;Avi Uzan;Yefrin Valladares;Ross Vander Vorste;Nathan J. Waltham;Dominik H. Zak;Annamaria Zoppini - 通讯作者:
Annamaria Zoppini
A framework to nowcast soil moisture with NASA SMAP level 4 data using in-situ measurements and deep learning
利用现场测量和深度学习,使用美国宇航局 SMAP 四级数据进行临近预报土壤湿度的框架
- DOI:
10.1016/j.ejrh.2024.102020 - 发表时间:
2024-12-01 - 期刊:
- 影响因子:5.000
- 作者:
Hassan Dashtian;Michael H. Young;Bissett E. Young;Tyson McKinney;Ashraf M. Rateb;Dev Niyogi;Sujay V. Kumar - 通讯作者:
Sujay V. Kumar
Assessment of the WRF model configuration optimization in predicting the heavy rainfall over urban city Bhubaneswar, India
- DOI:
10.1007/s43762-025-00180-2 - 发表时间:
2025-05-06 - 期刊:
- 影响因子:3.200
- 作者:
Alugula Boyaj;N. R. Karrevula;Madhusmita Swain;P. Sinha;Raghu Nadimpalli;Sahidul Islam;V. Vinoj;Manoj Khare;Dev Niyogi;U. C. Mohanty - 通讯作者:
U. C. Mohanty
Dev Niyogi的其他文献
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{{ truncateString('Dev Niyogi', 18)}}的其他基金
RAPID: 2018 Hurricane Season -- Assessing the Role of Antecedent Land State on Hurricane Post-landfall Rainfall
RAPID:2018 年飓风季节——评估先前陆地状态对飓风登陆后降雨量的作用
- 批准号:
2228004 - 财政年份:2021
- 资助金额:
$ 2.5万 - 项目类别:
Standard Grant
RAPID: 2018 Hurricane Season -- Assessing the Role of Antecedent Land State on Hurricane Post-landfall Rainfall
RAPID:2018 年飓风季节——评估先前陆地状态对飓风登陆后降雨量的作用
- 批准号:
1902642 - 财政年份:2018
- 资助金额:
$ 2.5万 - 项目类别:
Standard Grant
Collaborative Research: Extreme Rainfall in Urban Environments
合作研究:城市环境中的极端降雨
- 批准号:
1522494 - 财政年份:2015
- 资助金额:
$ 2.5万 - 项目类别:
Standard Grant
Indo-US Advanced Workshop and Colloquium on Modeling and Data Assimilation for Tropical Cyclone Predictions; Odisha, India; July 9-14, 2012
印度-美国热带气旋预测建模和数据同化高级研讨会和学术讨论会;
- 批准号:
1239642 - 财政年份:2012
- 资助金额:
$ 2.5万 - 项目类别:
Standard Grant
CAREER: Assessing the Role of Land Surface Processes on the Climatic Changes in the Heavy Rain and Convection over the Indian Monsoon Region
职业:评估陆地表面过程对印度季风区暴雨和对流气候变化的作用
- 批准号:
0847472 - 财政年份:2009
- 资助金额:
$ 2.5万 - 项目类别:
Continuing Grant
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