Collaborative Research: ABI Development: A toolbox for analysis of long-term ecological dynamics using the Kepler Workflow System

合作研究：ABI 开发：使用开普勒工作流程系统分析长期生态动态的工具箱

• 批准号: 1262458
• 负责人: Corinna Gries
• 金额: $ 14.28万
• 依托单位: University of Wisconsin-Madison
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-04-01 至 2018-03-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1262458&HistoricalAwards=false
• 关键词: Collaborative; Research; ABI; Development; toolbox

The University of Wisconsin Madison, The University of New Mexico, and the University of California Santa Barbara are awarded grants to develop a toolbox for automating the process of analyzing community change. Long-term data sets will be used to demonstrate data and system accessibility and functionality, and through implementation of new metrics we will gain insights into what drives change in ecological communities on a continental scale. Data will be accessed via the DataONE portal and the LTER Network Information System using the Ecological Metadata Language, and analyzed with R statistical routines within the Kepler Scientific Workflow Environment. The species makeup of ecological communities varies over time in response to changes in the environment. Analysis of this variability has a long history in ecology, yet because of the lack of long term data, ecological change in different localities has been studied in a so-called "place for time" approach. That is, environmental conditions in one locality are considered to be comparable to the future conditions in another place. Although, this approach allows some insight into general trends it does not provide much information about rates and patterns of change. NSF programs like LTER and LTREB have generated long term observations of different ecological communities to allow for more realistic measures of how ecological communities change over time. This record will grow as automated observing platforms like NEON and GLEON contribute significantly to the long-term record. Along with the increasing availability of long-term datasets in on-line repositories, new methods for community change analysis are being developed. This open access toolbox will make community analysis more accessible and in turn expose a variety of indices to wider use, thorough testing, and improvement for measuring and visualizing ecological dynamics. Existing workflows will help reduce effort in data preparation and foster unprecedented potential for collaboration. Value added data products of community change indices across habitats are particularly valuable for education and outreach, and in broader synthetic activities related to environmental health, management, and dynamics at larger scales. Through the LTER Schoolyard program these data and understanding of environmental change will reach a large number and diversity of schoolchildren. For further information about the project and its software products, visit http://lter.limnology.wisc.edu/research/community-analysis-toolbox.

威斯康星大学麦迪逊大学，新墨西哥大学和加利福尼亚大学圣塔芭芭拉分校获得了赠款，以开发一种工具箱，以自动化分析社区变革的过程。长期数据集将用于展示数据和系统可访问性和功能，并通过实施新的指标，我们将深入了解在大陆规模上驱动生态社区变化的变化。将使用生态元数据通过Dataone门户和LTER网络信息系统访问数据，并在开普勒科学工作流环境中使用R统计例程进行分析。随着环境的变化，生态群落的物种构成随着时间的流逝而变化。对这种变异性的分析在生态学方面具有悠久的历史，但是由于缺乏长期数据，在所谓的“时间”方法中研究了不同地区的生态变化。也就是说，一个地方的环境条件被认为与另一个地方的未来条件相当。尽管这种方法可以深入了解一般趋势，但它并没有提供有关变化率和模式的太多信息。 NSF计划（如LTER和LTREB）已经对不同的生态社区产生了长期观察，以更加现实地衡量生态社区如何随着时间的流逝而变化。随着自动观测平台（如Neon和Gleon）对长期记录产生了重大贡献，该记录将增长。随着在线存储库中长期数据集的可用性越来越多，正在开发新的社区变革分析方法。此开放访问工具箱将使社区分析更加易于访问，然后将各种索引暴露于更广泛的使用，彻底的测试以及用于测量和可视化生态动态的改进。现有的工作流将有助于减少数据准备工作的努力，并促进空前的协作潜力。跨栖息地的社区变革指数的增值数据产品对于教育和外展特别有价值，在与环境健康，管理和动态相关的更广泛的合成活动中。通过lter校园计划，这些数据和对环境变化的理解将达到大量和多样性的学童。有关该项目及其软件产品的更多信息，请访问http://lter.limnology.wisc.edu/research/community-analysis-toolbox。