SGS-LTER Ecosystem Stress Area - long-term density dataset following nutrient enrichment stress on the Central Plains Experimental Range in Nunn, Colorado, USA 1975-2011, ARS Study Number 3

This data package was produced by researchers working on the Shortgrass Steppe Long Term Ecological Research (SGS-LTER) Project, administered at Colorado State University. Long-term datasets and background information (proposals, reports, photographs, etc.) on the SGS-LTER project are contained in a comprehensive project collection within the Digital Collections of Colorado (http://digitool.library.colostate.edu/R/?func=collections&collection_id=3429). The data table and associated metadata document, which is generated in Ecological Metadata Language, may be available through other repositories serving the ecological research community and represent components of the larger SGS-LTER project collection. Water, nitrogen, and water-plus-nitrogen at levels beyond the range normally experience by shortgrass steppe communities were applied from 1971 through 1975, plant densities were sampled through 1977, and then sampling resumed in 1982, with sampling frequencies changing from annually to every other year. The initial sampling from 1970 to 1974 showed that the water and water plus nitrogen treatments had the strongest effect on plant community structure, both treatments increased biomass, and exotic weed species were noted on the water plus nitrogen treatment. Later sampling from 1982 to 1991 showed a ten-fold increase in exotic weed species on the water plus nitrogen plots as compared to the controls (Milchunas and Lauenroth 1995), a community change that has persisted on this site due to a chronic elevation of soil nitrogen caused by a plant tissue/soil organic matter feedback mechanism (Vinton and Burke 1995). In 1998, Six new treatments were superimposed on the historic study site. The six new treatments were: control, sugar, lignin, sawdust, lignin and sugar, and sawdust and sugar.In 2010, plots will be sampled every 5 years. Our objective in this study is to examine how plant communities change through time and explore implications of these changes for monitoring potentially stressed ecosystems. Additional information and referenced materials can be found: http://hdl.handle.net/10217/83317. Resources in this dataset:Resource Title: Website Pointer to html file. File Name: Web Page, url: https://portal.edirepository.org/nis/mapbrowse?scope=knb-lter-sgs&identifier=520 Webpage with information and links to data files for download

                                            [
  "005:18"
]
                                        

                                            {
  "fn": "Milchunas, Daniel",
  "hasEmail": "mailto:daniel.milchunas@colostate.edu"
}
                                        

                                            [
  {
    "@type": "dcat:Distribution",
    "title": "https://portal.edirepository.org/nis/mapbrowse?scope=knb-lter-sgs&identifier=520",
    "mediaType": "text/html",
    "downloadURL": "https://portal.edirepository.org/nis/mapbrowse?scope=knb-lter-sgs&identifier=520"
  }
]
                                        

                                            [
  "ARS",
  "NP215",
  "NSF > LTER=Long-Term Ecological Research",
  "Populations",
  "USDA > ARS > Natural Resources and Sustainable Agricultural Systems National Program > 215 Pasture, Forage and Rangeland Systems",
  "biodiversity",
  "community dynamicss",
  "community ecology",
  "data.gov",
  "density",
  "disturbance",
  "fertilization",
  "inorganic nutrients",
  "water"
]
                                        

                                            [
  "005:040"
]
                                        

                                            {
  "name": "Agricultural Research Service",
  "@type": "org:Organization"
}
                                        

                                            "{"type": "Polygon", "coordinates": [[[-104.785833, 40.8575], [-104.730556, 40.8575], [-104.730556, 40.800278], [-104.785833, 40.800278], [-104.785833, 40.8575]]]}"