Collaborative Research: Extending Lifemapper to Enable Macroecological Research
Collaborative Research: Extending Lifemapper to Enable Macroecological Research
批准号:
0851290
负责人:
James Beach
金额:
$40.86万
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
项目状态:
已结题
起止时间:
2009-08-01 至 2013-07-31
中文摘要
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英文摘要
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.
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CI-TEAM Implementation Project: Collaborative Research: Advancing Cyberinfrastructure-based Science through Education, Training and Mentoring of Science Communities
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批准号:0225635
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依托单位:
Supporting Biodiversity Research Infrastructure with the Specify Database System
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批准号:0221490
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OZ: Deploying a Community Software Application for Biocollections Information
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财政年份:1998
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KDI: Knowledge Networking of Biodiversity Information
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批准号:9873021
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国内基金
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