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偏远地区的动物发生和运动的方式收集大量数据，甚至可能是一代人的可能。技术提高动物数据特异性的示例包括声学记录，摄像头，放射性磁膜和地理定位器。这些数据扩大了我们对单个动物居住及其运动模式的了解。此外，相对较新的技术，例如来自卫星和飞机的遥感以及观察网络提供了大量的环境数据，例如降雨，植被生产率，结构，连通性，以及更多以前无法实现的景观和宏观系统量表。这些技术的进步以及互联网用户的连通性提高，使公众更广泛地参与收集动物或环境数据。在许多情况下，面临的挑战是将动物观察信息与公民，当地团体以及国家和国际机构收集的动物观察信息与相关的大规模环境数据集联系起来。该项目在研讨会中与专家的研讨会解决了这些问题，这些专家有助于推进与动物探测和环境数据相关的新技术。这些障碍目前限制了研究人员扩大研究的规模和范围。将有一个为期两天的研讨会，重点是如何将研究动物分布和运动的新技术和能力与环境状态和环境状态以及景观和宏观系统量表的环境变化相关。该研讨会将汇集遥感和动物检测领域的专家，目的是整合各种技术，并为审查论文奠定了有关合并技术的潜力，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的立法任务，并通过对基金会的智力审查进行评估，并以评估的评估值得评估。