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A team approach to data synthesis: the playbook for creating a centralized, dynamic, and sustainable ANPP database

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dc.contributor.authorLaney, Christine, author
dc.contributor.authorCushing, Judith B., author
dc.contributor.authorMuldavin, Esteban, author
dc.contributor.authorVanderbilt, Kristin, author
dc.contributor.authorKaplan, Nicole E., author
dc.contributor.authorZeman, Lee, author
dc.contributor.authorMilchunas, Daniel, author
dc.contributor.authorLeroy, Carri, author
dc.contributor.authorKruger, Judith, author
dc.contributor.authorGao, Jincheng, author
dc.contributor.authorRamsey, Ken, author
dc.contributor.authorMallett, Juli, author
dc.contributor.authorSGS-LTER, Colorado State University, publisher
dc.dateundated
dc.date.accessioned2007-01-03T07:03:21Z
dc.date.available2007-01-03T07:03:21Z
dc.descriptionThe SGS-LTER research site was established in 1980 by researchers at Colorado State University as part of a network of long-term research sites within the US LTER Network, supported by the National Science Foundation. Scientists within the Natural Resource Ecology Lab, Department of Forest and Rangeland Stewardship, Department of Soil and Crop Sciences, and Biology Department at CSU, California State Fullerton, USDA Agricultural Research Service, University of Northern Colorado, and the University of Wyoming, among others, have contributed to our understanding of the structure and functions of the shortgrass steppe and other diverse ecosystems across the network while maintaining a common mission and sharing expertise, data and infrastructure.
dc.descriptionColorado State University. Natural Resource Ecology Laboratory; Colorado State University. Department of Forest and Rangeland Stewardship; Colorado State University. Department of Soil and Crop Sciences; Colorado State University. Department of Biology; California State University, Fullerton; United States. Agricultural Research Service; University of Northern Colorado.
dc.description.abstractThe Grasslands Data Integration (GDI) project has brought together ecologists, information managers and computer scientists to address the interdisciplinary challenges of integrating ANPP data from multiple sources. In this poster we present 1) the necessity to coordinate expertise and information to integrate ANPP data and metadata from five national and international grassland LTER sites, 2) the data model we designed to archive and serve the data, and 3) analysis planned for the future. This collaboration is an example of how professionals with inter-related work experience build a community of experts and a successful data product for the LTER (Baker and Millerand 2007).
dc.description.sponsorshipNSF Canopy Database Project (NSF Grants: DBI-0417311, DBI-0319309), JRN-LTER (NSF Grant: DEB-0080412), KNZ-LTER (NSF Grant: DEB-0218210), SEV-LTER (NSF Grant: DEB-0080529), and SGS-LTER (NSF Grant: DEB-0217631).
dc.format.mediumborn digital
dc.format.mediumPresentation slides
dc.format.mediumposters
dc.identifier.urihttp://hdl.handle.net/10217/85125
dc.languageEnglish
dc.language.isoeng
dc.publisherColorado State University. Libraries
dc.relation.ispartofPresentations
dc.relation.referencesLauenroth, William K., SGS-LTER Standard Production Data: 1983-2008 Annual Aboveground Net Primary Production on the Central Plains Experimental Range, Nunn, Colorado, USA 1983-2008, ARS Study Number 6. http://hdl.handle.net/10217/81141
dc.rightsCopyright and other restrictions may apply. User is responsible for compliance with all applicable laws. For information about copyright law, please see https://libguides.colostate.edu/copyright.
dc.subjectlong term ecological research
dc.subjectCentral Plains Experimental Range
dc.subjectPawnee National Grassland
dc.subjectgrassland ecology
dc.subjectshortgrass steppe
dc.titleA team approach to data synthesis: the playbook for creating a centralized, dynamic, and sustainable ANPP database
dc.typeText

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