Elements: Spatial Ecology Gateway

要素：空间生态网关

• 批准号: 2104104
• 负责人: Robert Sinkovits
• 金额: $ 60万
• 依托单位: University of California-San Diego
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-07-01 至 2024-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2104104&HistoricalAwards=false
• 关键词: Elements; Spatial; Ecology; Gateway; Elements; Spatial; Ecology; Gateway

Spatial ecology is the study of how landscape characteristics influence the distribution and movement of organisms within their environment. The Spatial Ecology Gateway (SEG) enables researchers, students and wildlife managers to upload biotelemetry data, typically GPS readings, and construct home ranges that allow them to interpret animal space use. Applications of the SEG can include classroom projects, basic research into problems in wildlife ecology, environmental impact studies and mitigation of adverse outcomes such as habitat fragmentation or increased human-wildlife interaction resulting from new development. The SEG insulates users from the underlying computational details so that they can focus on their science rather than mastering the technology. Users of the SEG have the option to generate two-dimensional (2D) or, where applicable, three-dimensional (3D) home ranges. Users are also provided with less computationally intensive tools to perform exploratory analyses.The SEG is built using the HubZero platform, an open-source software platform for building websites that support scientific activities and leverages the Extreme Science and Engineering Discovery Environment (XSEDE) for more computationally demanding tasks. Data can be pulled directly into the SEG from the online community platform Movebank using their REST API. The SEG deploys the Brownian Bridge Movement Model (BBMM), Potential Path Volumes (PPV) and Continuous-Time Movement Modeling (ctmm) methods for home range construction. Tools for exploratory analysis of animal trajectories include net squared displacement, movement path tortuosity and relocation sampling rates versus deployment time. Users can apply basic filtering to their data sets to restrict analyses to specified time ranges or particular animals. The SEG insulates users from having to decide computational details such as choice of resource, number of compute cores or wall clock time. Rather, these decisions are made using logic built into the gateway and based on extensive benchmarking studies.This award by the Office of Advanced Cyberinfrastructure is jointly supported by the Division of Biological Infrastructure within the NSF Biosciences Directorate, and by the Division of Information and Intelligent Systems within the NSF Computer and Information Science and Engineering Directorate.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.

空间生态学是对景观特征如何影响生物在其环境中的分布和运动的研究。空间生态网关（SEG）使研究人员，学生和野生动物管理者可以上传生物仪的数据，通常是GPS读数，并构建了允许他们解释动物空间使用的家庭范围。 SEG的应用可以包括课堂项目，对野生动植物生态学问题的基础研究，环境影响研究以及缓解不良后果（例如栖息地分裂或增加新发展引起的人类野生生物互动）等不良结果。 SEG使用户脱离了基本的计算细节，因此他们可以专注于科学而不是掌握技术。 SEG的用户可以选择生成二维（2D）或在适用的情况下（3D）家庭范围。还为用户提供了较少的计算密集型工具来执行探索性分析。该SEG是使用Hubzero Platform构建的，Hubzero Platform是一个开源软件平台，用于构建支持科学活动并利用极端科学和工程发现环境（XSEDE）的网站（XSEDE），以实现更高的计算要求。可以使用其REST API将数据直接从在线社区平台MoveBank中拉到SEG中。 SEG采用了布朗桥运动模型（BBMM），潜在的路径体积（PPV）和连续的时间运动建模（CTMM）方法，用于家庭范围结构。进行动物轨迹的探索性分析的工具包括净正方形位移，运动路径曲折度和搬迁抽样率与部署时间。用户可以将基本过滤应用于其数据集，以将分析限制为指定的时间范围或特定动物。 SEG隔离了用户必须决定计算细节，例如资源选择，计算核心数量或壁时钟时间。相反，这些决定是使用网关内置的逻辑做出的，并基于广泛的基准测试研究。该奖项由NSF Biosciences省内的生物基础设施司共同支持，由NSF Biosciences局内的生物基础架构划分，以及通过NSF计算机和信息科学和工程学奖的信息和智能授予的信息和智能授予。使用基金会的智力优点和更广泛的影响评估标准进行评估。