Workshop: Linking remote animal detection and movement data with macrosystem environmental datasets and networks; September, 2018; Front Royal, VA

研讨会：将远程动物检测和运动数据与宏观系统环境数据集和网络联系起来；

• 批准号: 1823498
• 负责人: David Luther
• 金额: $ 4.76万
• 依托单位: George Mason University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-05-01 至 2020-04-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1823498&HistoricalAwards=false
• 关键词: Workshop; Linking; remote; animal; detection

Technological advances have allowed scientists to collect vast quantities of data on animal occurrences and movements from remote locations in ways that weren?t possible even a generation ago. Examples of technology improving the specificity of animal data are acoustic recordings, camera-traps, radiotelemetry, and geolocators. These data have broadened our knowledge of where individual animals live and their movement patterns. In addition, relatively new technologies such as remote sensing from satellites and aircraft, and observation networks are providing large quantities of environmental data, such as rainfall, vegetation productivity, structure, connectivity and more at landscape and macrosystem scales that were not previously possible. These advances in technology, along with increased connectivity of internet users, have allowed a broader involvement of the public in collecting animal or environmental data. The challenge in many cases has been to link the animal-observations information, being collected by citizens, local groups, as well as national and international agencies, to relevant large-scale environmental datasets. This project addresses these issues in a workshop with experts that have helped advance the new technologies associated with animal detections and environmental data at landscape and macrosystem scales.The explicitly inter-disciplinary nature of the workshop will foster linkages and collaborations that aim to alleviate technical barriers for scaling the information from animal observations to environmental datasets at macrosystem scales. Such barriers currently limit researchers from broadening the scale and scope of their research. There will be a two-day workshop that focuses on how new technologies and capabilities that investigate the distribution and movement of animals can be linked to environmental states and environmental changes at the landscape and macrosystem scales. The workshop will bring together experts in the fields of remote sensing and animal detection with the goal of integrating the various technologies and lay the foundation for a review paper on the potential of combined techniques to answer important questions in ecology and conservation biology.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

技术进步使科学家能够以前所未有的方式从偏远地区收集大量关于动物发生和运动的数据。甚至在一代人以前也不可能。提高动物数据特异性的技术例子有声学记录、照相机陷阱、无线电遥测和地理定位器。这些数据拓宽了我们对个体动物生活的地方和它们的运动模式的了解。此外，卫星和飞机遥感等较新的技术以及观测网络正在提供大量的环境数据，如降雨量、植被生产力、结构、连通性等以前无法提供的景观和宏观系统尺度的数据。技术的这些进步，沿着互联网用户连接的增加，使得公众能够更广泛地参与收集动物或环境数据。在许多情况下，面临的挑战是将公民、地方团体以及国家和国际机构收集的动物观测信息与相关的大规模环境数据集联系起来。该项目通过与帮助推进与景观和宏观系统尺度的动物探测和环境数据相关的新技术的专家举行的研讨会来解决这些问题，研讨会的明确跨学科性质将促进联系和合作，旨在减少将动物观测信息扩展到宏观系统尺度的环境数据集的技术障碍。这些障碍目前限制了研究人员扩大其研究的规模和范围。将有一个为期两天的研讨会，重点是如何调查动物的分布和运动的新技术和能力可以在景观和宏观系统尺度上与环境状态和环境变化联系起来。该研讨会将汇集遥感和动物探测领域的专家，目的是整合各种技术，并为一份关于组合技术潜力的评论文件奠定基础，以回答生态学和保护生物学中的重要问题。该奖项反映了NSF的法定使命，并被认为值得通过利用基金会的智力价值和更广泛的影响审查进行评估来支持的搜索.