EAGER: Building Arid-land International Collaborations between US and China: Ecology of Invasive Plants
EAGER:中美之间建立旱地国际合作:入侵植物生态学
基本信息
- 批准号:1047575
- 负责人:
- 金额:$ 25.84万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2010
- 资助国家:美国
- 起止时间:2010-08-01 至 2012-07-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
This EAGER award provides funding to develop an international network of researchers to explore the comparative ecologies of temperate arid regions of Central Asia and the Great Basin of the western US. These regions are similar in climate and vegetation and are quite vulnerable to environmental degradation. This comparative exploratory study will examine the nature of the native and invasive plant species in each region. The objective is to develop hypotheses regarding the resilience and sensitivity to environmental change in such regions. In addition to the development of research hypotheses, the other objective of an EAGER award is to establish effective collaborations with Chinese researchers from the Xinjiang Institute of Ecology and Geography for on-going studies. In addition to field studies in both countries, the project will include two joint workshops. One in Xinjiang in 2010 will address issues of invasive species and develop preliminary research hypotheses. The second workshop, to be held in Nevada in 2011, will review the results of the field studies and develop plans for future collaborations. The proposed studies will provide an interesting basis for in-depth studies of two large and important regions of the world. The studies will be symmetrical in the sense that species native to the Great Basin appear as invasive species in Central Asia and vice versa. The regional comparisons will add considerably to our understanding of the processes that drive ecosystem structure and function in temperate arid regions and enhance our biological and ecological knowledge of such regions. The improved ecological understanding of arid lands can contribute to more effective management of these vulnerable regions. Also, the project engages a number of undergraduates in the field work, some of whom will be able to travel to Asia and participate in the workshops. Their interactions, among themselves and with the more senior researchers and foreign colleagues, are expected to enhance human resources in a critical area of science.
该EAGER奖提供资金,以建立一个国际研究人员网络,探索中亚温带干旱地区和美国西部大盆地的比较生态学。 这些地区的气候和植被相似,很容易受到环境退化的影响。这项比较探索性研究将研究每个地区的本地和入侵植物物种的性质。目的是就这些区域对环境变化的复原力和敏感性提出假设。除了研究假设的发展,EAGER奖的另一个目标是与新疆生态与地理研究所的中国研究人员建立有效的合作,以进行正在进行的研究。除了在这两个国家进行实地研究外,该项目还将包括两个联合讲习班。2010年在新疆的一个项目将解决入侵物种的问题,并提出初步的研究假设。第二次讲习班将于2011年在内华达州举行,将审查实地研究的结果,并制定今后合作的计划。拟议的研究将为深入研究世界上两个重要的大区域提供令人感兴趣的基础。这些研究将是对称的,因为大盆地的原生物种在中亚似乎是入侵物种,反之亦然。区域比较将大大增加我们对驱动温带干旱地区生态系统结构和功能的过程的理解,并增强我们对这些地区的生物和生态知识。对干旱地区生态认识的提高有助于更有效地管理这些脆弱地区。此外,该项目还邀请了一些本科生参与实地工作,其中一些人将能够前往亚洲参加研讨会。 他们之间的互动以及与更资深的研究人员和外国同事的互动,预计将加强这一关键科学领域的人力资源。
项目成果
期刊论文数量(0)
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科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Robert Nowak其他文献
Lock-free de Bruijn graph
无锁 de Bruijn 图
- DOI:
10.48550/arxiv.2401.02756 - 发表时间:
2024 - 期刊:
- 影响因子:0
- 作者:
Daniel G'orniak;Robert Nowak - 通讯作者:
Robert Nowak
NIH consensus conference. Adjuvant therapy for patients with colon and rectal cancer.
NIH 共识会议。
- DOI:
- 发表时间:
1990 - 期刊:
- 影响因子:0
- 作者:
Jeongyeol Kwon;Liu Yang;Robert Nowak;Josiah P. Hanna - 通讯作者:
Josiah P. Hanna
On Regret with Multiple Best Arms
多臂后悔
- DOI:
- 发表时间:
2020 - 期刊:
- 影响因子:0
- 作者:
Yinglun Zhu;Robert Nowak - 通讯作者:
Robert Nowak
Future Prediction Can be a Strong Evidence of Good History Representation in Partially Observable Environments
未来预测可以成为部分可观测环境中良好历史表征的有力证据
- DOI:
- 发表时间:
2024 - 期刊:
- 影响因子:0
- 作者:
Jeongyeol Kwon;Liu Yang;Robert Nowak;Josiah P. Hanna - 通讯作者:
Josiah P. Hanna
Looped Transformers are Better at Learning Learning Algorithms
循环变压器更擅长学习学习算法
- DOI:
- 发表时间:
2023 - 期刊:
- 影响因子:0
- 作者:
Liu Yang;Kangwook Lee;Robert Nowak;Dimitris Papailiopoulos - 通讯作者:
Dimitris Papailiopoulos
Robert Nowak的其他文献
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{{ truncateString('Robert Nowak', 18)}}的其他基金
Collaborative Research: New Perspectives on Deep Learning: Bridging Approximation, Statistical, and Algorithmic Theories
合作研究:深度学习的新视角:桥接近似、统计和算法理论
- 批准号:
2134140 - 财政年份:2021
- 资助金额:
$ 25.84万 - 项目类别:
Standard Grant
CIF: Small: Bridging the Inequality Gap
CIF:小:缩小不平等差距
- 批准号:
1907786 - 财政年份:2019
- 资助金额:
$ 25.84万 - 项目类别:
Standard Grant
Collaborative Research: Physics-Based Machine Learning for Sub-Seasonal Climate Forecasting
合作研究:基于物理的机器学习用于次季节气候预测
- 批准号:
1934612 - 财政年份:2019
- 资助金额:
$ 25.84万 - 项目类别:
Continuing Grant
EAGER: Developing a Theory for Function Optimization on Graphs Using Local Information
EAGER:开发使用局部信息的图函数优化理论
- 批准号:
1841190 - 财政年份:2018
- 资助金额:
$ 25.84万 - 项目类别:
Standard Grant
BIGDATA: F: DKA: CSD: Human and Machine Co-Processing
BIGDATA:F:DKA:CSD:人机协同处理
- 批准号:
1447449 - 财政年份:2014
- 资助金额:
$ 25.84万 - 项目类别:
Standard Grant
CIF: Small: Sparsity and Scarcity in High-Dimensional Point Processes
CIF:小:高维点过程中的稀疏性和稀缺性
- 批准号:
1418976 - 财政年份:2013
- 资助金额:
$ 25.84万 - 项目类别:
Standard Grant
CIF: Small: Adaptive Information: Sequential Sensing and Active Learning Theory, Methods and Applications
CIF:小型:自适应信息:顺序感知和主动学习理论、方法和应用
- 批准号:
1218189 - 财政年份:2012
- 资助金额:
$ 25.84万 - 项目类别:
Standard Grant
CIF: Small: Decoding Error-Correcting Codes using Large-Scale Decomposition Methods
CIF:小型:使用大规模分解方法解码纠错码
- 批准号:
1217058 - 财政年份:2012
- 资助金额:
$ 25.84万 - 项目类别:
Standard Grant
CIF: Medium: Collaborative Research: Cooperative Routing in Wireless Ad-Hoc Networks with Advanced PHY Layers: Interference Management, Resource Allocation, and Information Mixing
CIF:中:协作研究:具有高级 PHY 层的无线 Ad-Hoc 网络中的协作路由:干扰管理、资源分配和信息混合
- 批准号:
0963834 - 财政年份:2010
- 资助金额:
$ 25.84万 - 项目类别:
Continuing Grant
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