An Undergraduate Network for Analyzing Plant Invasion in U.S. National Wildlife Refuges - A Workshop Proposal

分析美国国家野生动物保护区植物入侵的本科网络 - 研讨会提案

基本信息

  • 批准号:
    1118353
  • 负责人:
  • 金额:
    $ 2.37万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2011
  • 资助国家:
    美国
  • 起止时间:
    2011-04-01 至 2012-03-31
  • 项目状态:
    已结题

项目摘要

Much of conservation policy is predicated on the idea that ecological reserves can protect species that cannot survive in human-dominated areas. Unfortunately, invasive species, including weeds, forest pests, and feral predators like cats and rats, don't respect reserve boundaries. They may establish within reserves and displace or consume the native species that the reserves were designed to protect. Understanding the factors that promote the spread of invasive species within protected areas is therefore a critical issue for conservation biology. Students in undergraduate Ecology and Conservation Biology classes from across the country will compile data on invasive plants in the National Wildlife Refuges within their own region. The classes will use these data to analyze the factors that tend to promote or inhibit plant invasions and the extent to which these factors vary from one region to the next. In addition to increasing our understanding of impacts of and controls on invasive species, this project also has a strong educational component. More than 200 students in eight classes will have the opportunity to participate in a continental-scale ecological research project. All of these students will gain experience in data analysis and data management at the interface of science and conservation policy. NSF funding will support travel of one student and one instructor from each class to an intensive workshop at the National Center for Ecological Analysis and Synthesis. At this workshop, each group will present the results of their regional analysis. Workshop participants will then complete an analysis of the pooled data from all the classes and create a database on invasive plants in National Wildlife Refuges. This database will be available to wildlife managers and other researchers, supporting management efforts and future research on the spread of invasive plants into protected areas.
许多保护政策都是基于这样一种理念:生态保护区可以保护那些无法在人类主导地区生存的物种。不幸的是,入侵物种,包括杂草、森林害虫和像猫和老鼠这样的野生食肉动物,不尊重保护区的边界。它们可能在保护区内扎根,取代或消耗保护区旨在保护的本地物种。因此,了解促进入侵物种在保护区内传播的因素是保护生物学的一个关键问题。来自全国各地的本科生态学和保护生物学课程的学生将在他们自己的地区内收集国家野生动物保护区入侵植物的数据。这些课程将使用这些数据来分析促进或抑制植物入侵的因素,以及这些因素在不同地区之间的差异程度。除了增加我们对入侵物种的影响和控制的理解外,该项目还具有很强的教育成分。8个班级的200多名学生将有机会参与一个大陆规模的生态研究项目。所有这些学生都将在科学和保护政策的界面上获得数据分析和数据管理的经验。美国国家科学基金将资助每班一名学生和一名教师前往国家生态分析与综合中心参加一个密集的研讨会。在这次研讨会上,每个小组将介绍其区域分析的结果。然后,讲习班参与者将完成对所有班级汇集的数据的分析,并创建一个关于国家野生动物保护区入侵植物的数据库。该数据库将提供给野生动物管理人员和其他研究人员,以支持管理工作和未来对入侵植物向保护区扩散的研究。

项目成果

期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ monograph.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ sciAawards.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ conferencePapers.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ patent.updateTime }}

Stephanie Hampton其他文献

Patient Capacity and Judicial Decisionmaking
  • DOI:
    10.1023/a:1008874203182
  • 发表时间:
    1997-09-01
  • 期刊:
  • 影响因子:
    1.200
  • 作者:
    Holly A. Stadler;John Morrissey;Teresa Rose;Sarah Haley;Carrie Trojahn;Stephanie Hampton
  • 通讯作者:
    Stephanie Hampton

Stephanie Hampton的其他文献

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

{{ truncateString('Stephanie Hampton', 18)}}的其他基金

Collaborative Research: Advancing a comprehensive model of year-round ecosystem function in seasonally frozen lakes through networked science
合作研究:通过网络科学推进季节性冰冻湖泊全年生态系统功能的综合模型
  • 批准号:
    2306886
  • 财政年份:
    2023
  • 资助金额:
    $ 2.37万
  • 项目类别:
    Standard Grant
Intergovernmental Personnel Agreement
政府间人事协定
  • 批准号:
    1836038
  • 财政年份:
    2018
  • 资助金额:
    $ 2.37万
  • 项目类别:
    Intergovernmental Personnel Award
Workshop: Ecology under Lake Ice; NCEAS-Santa Barbara, CA - October 2014 and February 2015
研讨会:冰湖下的生态;
  • 批准号:
    1431428
  • 财政年份:
    2014
  • 资助金额:
    $ 2.37万
  • 项目类别:
    Standard Grant
Toads, Roads, and Nodes: Collaborative Course-Based Research on the Landscape Ecology of Amphibian Populations
蟾蜍、道路和节点:基于协作课程的两栖动物种群景观生态学研究
  • 批准号:
    1140911
  • 财政年份:
    2012
  • 资助金额:
    $ 2.37万
  • 项目类别:
    Standard Grant
Dimensions: Collaborative Research: Lake Baikal Responses to Global Change: The Role of Genetic, Functional and Taxonomic Diversity in the Plankton
维度:合作研究:贝加尔湖对全球变化的反应:浮游生物遗传、功能和分类多样性的作用
  • 批准号:
    1136637
  • 财政年份:
    2011
  • 资助金额:
    $ 2.37万
  • 项目类别:
    Standard Grant
Collaborative Research: CAMEO: Comparative analyses of natural and human influences on coral reef community structure, diversity, and resilience
合作研究:CAMEO:自然和人类对珊瑚礁群落结构、多样性和恢复力影响的比较分析
  • 批准号:
    1041705
  • 财政年份:
    2010
  • 资助金额:
    $ 2.37万
  • 项目类别:
    Standard Grant
Disproportionate Importance of Edge Habitat for Ecosystem Functoning in Deep Oligotrophic Lakes
边缘栖息地对于深部寡营养湖泊生态系统功能的重要性不成比例
  • 批准号:
    0528531
  • 财政年份:
    2005
  • 资助金额:
    $ 2.37万
  • 项目类别:
    Standard Grant
Postdoctoral Research Fellowship in Biological Informatics for FY 2002
2002财年生物信息学博士后研究奖学金
  • 批准号:
    0204068
  • 财政年份:
    2002
  • 资助金额:
    $ 2.37万
  • 项目类别:
    Fellowship Award

相似国自然基金

多维在线跨语言Calling Network建模及其在可信国家电子税务软件中的实证应用
  • 批准号:
    91418205
  • 批准年份:
    2014
  • 资助金额:
    170.0 万元
  • 项目类别:
    重大研究计划
基于Wireless Mesh Network的分布式操作系统研究
  • 批准号:
    60673142
  • 批准年份:
    2006
  • 资助金额:
    27.0 万元
  • 项目类别:
    面上项目

相似海外基金

Development of Deep Learning Methods for Generating and Analyzing Neural Network Microscopy Images
用于生成和分析神经网络显微图像的深度学习方法的开发
  • 批准号:
    23KF0296
  • 财政年份:
    2023
  • 资助金额:
    $ 2.37万
  • 项目类别:
    Grant-in-Aid for JSPS Fellows
Machine Learning for Analyzing State Dependent Neuronal Network Dynamics
用于分析状态相关神经网络动力学的机器学习
  • 批准号:
    10825302
  • 财政年份:
    2023
  • 资助金额:
    $ 2.37万
  • 项目类别:
Analyzing Neural Network Dynamics as Forward and Inverse Problems in the Connection Weights
将神经网络动力学分析为连接权重中的正向和逆向问题
  • 批准号:
    RGPIN-2020-04568
  • 财政年份:
    2022
  • 资助金额:
    $ 2.37万
  • 项目类别:
    Discovery Grants Program - Individual
Analyzing Neural Network Dynamics as Forward and Inverse Problems in the Connection Weights
将神经网络动力学分析为连接权重中的正向和逆向问题
  • 批准号:
    RGPIN-2020-04568
  • 财政年份:
    2021
  • 资助金额:
    $ 2.37万
  • 项目类别:
    Discovery Grants Program - Individual
Analyzing Neural Network Dynamics as Forward and Inverse Problems in the Connection Weights
将神经网络动力学分析为连接权重中的正向和逆向问题
  • 批准号:
    RGPIN-2020-04568
  • 财政年份:
    2020
  • 资助金额:
    $ 2.37万
  • 项目类别:
    Discovery Grants Program - Individual
New Tools for Analyzing Complex Network and Text Data
用于分析复杂网络和文本数据的新工具
  • 批准号:
    2015469
  • 财政年份:
    2020
  • 资助金额:
    $ 2.37万
  • 项目类别:
    Standard Grant
Analyzing network formation during brain tumour initiation
分析脑肿瘤发生过程中的网络形成
  • 批准号:
    2443926
  • 财政年份:
    2020
  • 资助金额:
    $ 2.37万
  • 项目类别:
    Studentship
Analyzing Neural Network Dynamics as Forward and Inverse Problems in the Connection Weights
将神经网络动力学分析为连接权重中的正向和逆向问题
  • 批准号:
    DGECR-2020-00334
  • 财政年份:
    2020
  • 资助金额:
    $ 2.37万
  • 项目类别:
    Discovery Launch Supplement
Creating trust for IoT devices by analyzing the network and electromagnetic information, and activity recognition
通过分析网络和电磁信息以及活动识别来为物联网设备建立信任
  • 批准号:
    19KT0020
  • 财政年份:
    2019
  • 资助金额:
    $ 2.37万
  • 项目类别:
    Grant-in-Aid for Scientific Research (B)
CRII: OAC: Inferring, Attributing, Mitigating and Analyzing the Malicious Orchestration of Internet-scale Exploited IoT Devices: A Network Telescope Approach
CRII:OAC:推断、归因、减轻和分析互联网规模被利用物联网设备的恶意编排:网络望远镜方法
  • 批准号:
    1953050
  • 财政年份:
    2019
  • 资助金额:
    $ 2.37万
  • 项目类别:
    Standard Grant
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了