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: 1564380
• 负责人: Gil Bohrer
• 金额: $ 33.75万
• 依托单位: Ohio State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-07-15 至 2020-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1564380&HistoricalAwards=false
• 关键词: Collaborative; proposal; ABI; Sustaining; Environmental

How an animal moves through their environment reveals much about their ecology and how they respond to modern changes to the planet such as development and climate change. GPS technology embedded in collars (mammal) or backpacks (birds) has revolutionized the ability to track animals, providing more detail than ever before, sometimes in real-time. However, to make the most of these new tracking data they must be seen in the context of the world through which the animals are moving by linking their tracks to remote sensing maps showing weather and ecosystem. With both the animal and environmental data growing rapidly, there are increasing technical challenges and knowledge gaps that inhibit the widespread application of linking these types of datasets for movement ecology research. The Environmental-Data Automated Track Annotation system (Env-DATA) is a web-based tool to give direct access for movement ecology researchers to thousands of environmental datasets. It provides intuitive and easy to use graphic user interface-based access to these datasets. Env-DATA is hosted by and interfaces with Movebank, a global movement data archive, open to the broad public worldwide. Env-DATA is open and accessible to anyone. It provides easy access to already public datasets, as well and some datasets that are not otherwise open. Env-DATA provides users with tools to publish the combined environmental data along with the animal track it was used to annotate in the Movebank Data Depository. Published data sets are allocated a DOI and can be accessed and searched as electronic publications, provided an agreement from the owner of the track data. Annual workshops at the North Carolina Museum of Natural Sciences will reach out to new users within academia, government, and public organizations that track animals. Env-DATA is at the cutting edge of the "contextual revolution" in movement ecology where combining analysis of movement patterns and incorporating the environmental background of the movement has become a necessary component for understanding and modeling animal movement. By providing intuitive and easy to use access to an unprecedented number of environmental datasets and variables, Env-DATA enables animal movement researchers to overcome technical challenges and knowledge gaps, and to fully utilize globally available environmental information. Env-DATA links movement tracks with environmental data from different remote-sensing and global reanalysis data providers, including NASA, NOAA, and ECMWF. Env-DATA interprets environmental variables in the correct encryption, grid, and projection systems and interpolates the data in space and time to the observed animal track locations, or a collection of comparison points or grid. Funding through this proposal will allow support of continuous on-going operations of Env-DATA, which requires regular quality control tests to detect cases where the data providers to Env-DATA may have changed the metadata, location, or access protocol. In these cases, technical support to update the system is necessary. It also requires regular availability of a user-support "help-desk". Outreach and training of new and existing users, as well as collecting first-hand feedback from users will be conducted by annual user workshops. All talks and tutorials in the workshop will be filmed and posted to the workshop website and on YouTube. Env-DATA PIs, staff, and researchers using Env-DATA will provide lectures to the broad public in the NC Museum. Undergraduate students will assist in workshop coordination and Env-DATA user support. To access Env-DATA and Movebank, visit https://www.movebank.org/.

动物如何在环境中移动，揭示了其生态学以及它们如何应对对地球的现代变化，例如发展和气候变化。 GPS技术嵌入了项圈（哺乳动物）或背包（鸟类）已彻底改变了追踪动物的能力，有时比以往任何时候都提供了更多细节，有时是实时的。但是，为了充分利用这些新的跟踪数据，必须在世界上环境中看到动物通过将其轨道链接到遥感地图显示天气和生态系统来移动的环境中。随着动物和环境数据的迅速增长，技术挑战和知识差距越来越多，这些挑战和知识差距抑制了将这些类型的数据集链接到运动生态学研究的广泛应用。环境数据自动轨道注释系统（ENV-DATA）是一种基于网络的工具，可直接访问运动生态研究人员，以获得数千个环境数据集。它提供了直观且易于使用的基于图形用户界面的访问这些数据集。 ENV-DATA由全球运动数据档案库MoveBank托管，并接触到全球广泛的公众。 Env-Data是任何人开放且可以访问的。它也可以轻松访问已经公开数据集和一些没有打开的数据集。 ENV-DATA为用户提供了发布合并的环境数据以及动物轨道的工具，用于在MoveBank数据存储中注释。已发布的数据集分配了DOI，可以作为电子出版物访问和搜索，并提供了轨道数据所有者的协议。北卡罗来纳州自然科学博物馆的年度研讨会将与追踪动物的学术界，政府和公共组织内的新用户联系。 Env-Data在运动生态学中处于“上下文革命”的最前沿，其中将运动模式的分析结合在一起，并结合运动的环境背景已成为理解和建模动物运动的必要组成部分。通过提供直观且易于使用的访问空前的环境数据集和变量，ENV-DATA使动物运动研究人员能够克服技术挑战和知识差距，并充分利用全球可用的环境信息。 Env-Data将运动跟踪与来自不同遥感和全球重新分析数据提供商（包括NASA，NOAA和ECMWF）的环境数据联系。 ENV-DATA在正确的加密，网格和投影系统中解释环境变量，并将空间和时间的数据插值到观察到的动物轨道位置，或者收集比较点或网格。通过该建议的资金将允许支持ENV-DATA的持续持续操作，该操作需要定期的质量控制测试来检测数据提供商到env-data可能已更改元数据，位置或访问协议的情况。在这些情况下，需要技术支持以更新系统。它还需要定期使用用户支持“ help-desk”。年度用户研讨会将对新用户和现有用户的外展和培训以及从用户那里收集第一手的反馈。研讨会上的所有演讲和教程将被拍摄并发布到研讨会网站和YouTube上。 Env-Data PIS，员工和研究人员使用Env-Data将向NC博物馆的广大公众提供讲座。本科生将协助研讨会协调和ENV-DATA用户支持。要访问Env-Data和MoveBank，请访问https://www.movebank.org/。

项目成果

Ecological insights from three decades of animal movement tracking across a changing Arctic

• DOI: 10.1126/science.abb7080
• 发表时间: 2020-11-06
• 期刊: SCIENCE
• 影响因子: 56.9
• 作者: Davidson, Sarah C.;Bohrer, Gil;Hebblewhite, Mark
• 通讯作者: Hebblewhite, Mark