Collaborative Research: Extending Lifemapper to Enable Macroecological Research

协作研究：扩展 Lifemapper 以实现宏观生态研究

• 批准号: 0851290
• 负责人: James Beach
• 金额: $ 40.86万
• 依托单位: University of Kansas Center for Research Inc
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-08-01 至 2013-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0851290&HistoricalAwards=false
• 关键词: Collaborative; Research; Extending; Lifemapper; Enable

This award is funded under the American Recovery and Reinvestment Act of 2009 (Public Law 111-5).The University of Kansas and the University of Connecticut are awarded collaborative grants to develop software to gather, visualize and analyze large data sets of the distribution of species on continental and global scales. The proposed computational software and web services tools will gather together all available data on the geographical occurrence of any focal species from Internet sources. Once gathered, the data enter a computational pipeline to an ecological niche modeling environment that generates information on the potential distribution of individual species, which, in turn will be mapped on multi-species geographic grids. These multi-species grids are used by macroecologists for analyses of the geospatial patterning of species and for determining the ecological and evolutionary causes of current species distributions, and biodiversity spatial patterns. Macroecological analysis is also capable of analyzing the potential impacts of environmental changes on continental scales. This project, in addition to generating multi-species data grids for study, will also develop web services software tools based on the "Spatial Analysis in Macroecology" software suite maintained at the University of Connecticut (http://www.ecoevol.ufg.br/sam/). The University of Kansas will engineer the server software architecture and computational web services for the project, building on its current species geospatial data archive and cluster-based, environmental niche modeling project "Lifemapper" (http:// www.lifemapper.org).Ultimately, the proposed software infrastructure is expected to catalyze macroecological modeling activity on important ecological and evolutionary geospatial questions by lowering the technical barriers to multispecies grid assembly and analysis. This integration is an obvious and cost-effective opportunity to accelerate research in this young, important field. The research challenges being addressed by macroecology include the most vital and insightful research predictions biologists can produce today to anticipate the biotic consequences of the changing natural environment, including global climate change.

该奖项是根据2009年的《美国复苏与再投资法》（公法111-5）资助的。堪萨斯大学和康涅狄格大学获得合作赠款，以开发软件，以收集，可视化和分析大陆和全球规模上物种分布的大量数据集。拟议的计算软件和Web服务工具将收集有关从互联网来源的任何焦点物种地理出现的所有可用数据。一旦收集，数据就进入了一个计算渠道，以对生态利基建模环境产生有关单个物种的潜在分布的信息，而该物种的潜在分布将依次映射在多物种地理网格上。宏观生态学家使用这些多物种网格用于分析物种的地理空间模式，并确定当前物种分布的生态和进化原因以及生物多样性的空间模式。宏观生态分析还能够分析环境变化对大陆尺度的潜在影响。该项目除了生成用于研究的多物种数据网格外，还将根据康涅狄格大学（http://www.ecoevol.ufg.ufg.ufg.br/sam/）维护的“宏观生态学空间分析”软件套件开发Web服务软件工具。堪萨斯大学将为该项目设计服务器软件架构和计算网络服务，以其当前物种地理空间数据存档和基于集群的环境利基建模项目“ LifeMapper”（http：//www.lifemapper.org）。多物种网格组装和分析的技术障碍。这种整合是一个明显且具有成本效益的机会，可以在这个年轻，重要领域加速研究。宏观生态学所面临的研究挑战包括生物学家今天可以产生的最重要和有见地的研究预测，以预测自然环境不断变化的生物后果，包括全球气候变化。