Workshop on Animal Tracking and Physiological Monitoring to be Held on January 24-27, 2007 at Princeton University in Princeton, New Jersey.
动物追踪和生理监测研讨会将于 2007 年 1 月 24 日至 27 日在新泽西州普林斯顿的普林斯顿大学举行。
基本信息
- 批准号:0641692
- 负责人:
- 金额:$ 3.45万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2006
- 资助国家:美国
- 起止时间:2006-10-01 至 2007-09-30
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
AbstractA workshop will be conducted to identify the approaches, designs, infrastructure, and research opportunities for remote sensing of animal tracking and physiological sensing. Tracking the location of individual animals is basic to addressing many ecological, evolutionary, and conservation questions. Similarly, tracking the physiological state of an animal in the wild is key in understanding individual behavioral responses to environmental changes. Fundamental discoveries in these areas are hampered, in part, by technical limitations in the ability to track animals. These limitations include the accuracy, frequency, and duration of data collection, the size of animals that can be tracked, and the ability to register data in real time. Advances in the fields of engineering, communications, and information technologies have the potential to overcome these limitations and therefore advance the scientific questions that can be addressed. It has been nearly a decade since experts in these fields have convened a meeting. With the rapid explosion of sensor technologies and cyberinfrastructure, it is critical that these groups convene a meeting to be knowledgeable about these advances. The workshop will provide the first opportunity for scientists interested in animal tracking and animal physiological sensing to interact. The workshop will explicitly address challenges and opportunities for incorporating animal sensing into dynamical national observatory networks such as the National Ecological Observatory Network (NEON).
本次研讨会将探讨动物跟踪和生理传感的遥感方法、设计、基础设施和研究机会。追踪单个动物的位置是解决许多生态、进化和保护问题的基础。同样,追踪野生动物的生理状态是理解个体对环境变化的行为反应的关键。这些领域的基础发现受到阻碍,部分原因是追踪动物能力的技术限制。这些限制包括数据收集的准确性、频率和持续时间,可以跟踪的动物的大小,以及实时记录数据的能力。工程、通信和信息技术领域的进步有可能克服这些限制,从而推进可以解决的科学问题。这些领域的专家上一次召开会议已经将近十年了。随着传感器技术和网络基础设施的快速发展,这些团体召开会议了解这些进步是至关重要的。研讨会将为对动物追踪和动物生理感知感兴趣的科学家提供第一次互动的机会。研讨会将明确讨论将动物传感纳入国家动态观测站网络(如国家生态观测站网络(NEON))的挑战和机遇。
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)
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Roland Kays其他文献
Optimal timing to estimate moose Alces alces demographic parameters using remote cameras
使用远程摄像机估算驼鹿阿尔克阿尔克人口统计参数的最佳时间
- DOI:
10.1038/s41598-025-05603-y - 发表时间:
2025-07-01 - 期刊:
- 影响因子:3.900
- 作者:
Hailey Boone;Mark Romanski;Kenneth Kellner;Roland Kays;Lynette Potvin;Gary Roloff;Jerrold Belant - 通讯作者:
Jerrold Belant
Can mammals thrive near urban areas in the Neotropics? Characterizing the community of a reclaimed tropical forest
- DOI:
10.1007/s42965-020-00134-1 - 发表时间:
2021-01-19 - 期刊:
- 影响因子:1.700
- 作者:
Stephanie Schuttler;Serano Ramcharan;Hailey Boone;Spencer Stone;Brian J. O’Shea;Krisna Gajapersad;Roland Kays - 通讯作者:
Roland Kays
Mammals in and around suburban yards, and the attraction of chicken coops
- DOI:
10.1007/s11252-014-0347-2 - 发表时间:
2014-01-26 - 期刊:
- 影响因子:2.400
- 作者:
Roland Kays;Arielle Waldstein Parsons - 通讯作者:
Arielle Waldstein Parsons
Clarifying assumptions behind the estimation of animal density from camera trap rates
澄清根据相机陷阱率估算动物密度背后的假设
- DOI:
- 发表时间:
2013 - 期刊:
- 影响因子:0
- 作者:
J. M. Rowcliffe;Roland Kays;Roland Kays;C. Carbone;Patrick A. Jansen;Patrick A. Jansen - 通讯作者:
Patrick A. Jansen
The Internet of Animals: what it is, what it could be
动物互联网:它是什么,它可能是什么
- DOI:
10.1016/j.tree.2023.04.007 - 发表时间:
2023-09-01 - 期刊:
- 影响因子:17.300
- 作者:
Roland Kays;Martin Wikelski - 通讯作者:
Martin Wikelski
Roland Kays的其他文献
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{{ truncateString('Roland Kays', 18)}}的其他基金
Collaborative Research: Integrated distribution models for North American mammals as tests of niche conservatism.
合作研究:北美哺乳动物的综合分布模型作为生态位保守主义的测试。
- 批准号:
2206783 - 财政年份:2022
- 资助金额:
$ 3.45万 - 项目类别:
Standard Grant
Collaborative Research: Continent-wide forest recruitment change: the interactions between climate, habitat, and consumers
合作研究:全大陆森林补充变化:气候、栖息地和消费者之间的相互作用
- 批准号:
2211768 - 财政年份:2022
- 资助金额:
$ 3.45万 - 项目类别:
Standard Grant
Collaborative Research: IIBR Informatics: Data integration to improve population distribution estimation with animal tracking data
合作研究:IIBR 信息学:数据集成,利用动物追踪数据改进人口分布估计
- 批准号:
1914928 - 财政年份:2019
- 资助金额:
$ 3.45万 - 项目类别:
Standard Grant
Collaborative proposal: Combining NEON and remotely sensed habitats to determine climate impacts on community dynamics
合作提案:结合 NEON 和遥感栖息地来确定气候对群落动态的影响
- 批准号:
1754656 - 财政年份:2018
- 资助金额:
$ 3.45万 - 项目类别:
Standard Grant
Collaborative proposal: ABI Sustaining: The Environmental-Data Automated Track Annotation (Env-DATA) system
合作提案:ABI Sustaining:环境数据自动轨迹注释(Env-DATA)系统
- 批准号:
1564382 - 财政年份:2016
- 资助金额:
$ 3.45万 - 项目类别:
Standard Grant
Collaborative Research EAGER-NEON: Probabilistic Forecasting of Biodiversity Response to Intensifying Drought by Combining NEON, National Climate, Species, and Trait Data Bases
合作研究 EAGER-NEON:结合 NEON、国家气候、物种和性状数据库,对生物多样性对加剧干旱的反应进行概率预测
- 批准号:
1550907 - 财政年份:2015
- 资助金额:
$ 3.45万 - 项目类别:
Standard Grant
CyberSEES: Type 2: Collaborative Research: Cyber-infrastructure and Technologies to Support Large-Scale Wildlife Monitoring and Research for Wildlife and Ecology Sustainability
CyberSEES:类型 2:协作研究:支持大规模野生动物监测以及野生动物和生态可持续性研究的网络基础设施和技术
- 批准号:
1539622 - 财政年份:2015
- 资助金额:
$ 3.45万 - 项目类别:
Standard Grant
Collaborative Research: Processes Determining the Abundance of Terrestrial Wildlife Communities Across Large Scales
合作研究:大规模确定陆地野生动物群落丰度的过程
- 批准号:
1232442 - 财政年份:2011
- 资助金额:
$ 3.45万 - 项目类别:
Standard Grant
Collaborative Research: Processes Determining the Abundance of Terrestrial Wildlife Communities Across Large Scales
合作研究:大规模确定陆地野生动物群落丰度的过程
- 批准号:
1065822 - 财政年份:2011
- 资助金额:
$ 3.45万 - 项目类别:
Standard Grant
DEB (Ecology): Seed Dispersal by Central American Agoutis - A Mutualism Conditioned by Predators or Food?
DEB(生态学):中美洲刺豚鼠的种子传播 - 由捕食者或食物调节的互利共生?
- 批准号:
0717071 - 财政年份:2007
- 资助金额:
$ 3.45万 - 项目类别:
Standard Grant
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