Data Package Summary   View Full Metadata

  • Baseline Spatial Variability Study at the Kellogg Biological Station, Hickory Corners, MI (1988 to 1988)
  • Robertson, G.; Michigan State University
  • Gross, Katherine; Michigan State University
  • 2013-05-29
  • Dataset Abstract A spatial variability study conducted across the LTER Main Site area (45 ha) at KBS prior to dividing the site into 1-ha experimental plots. During the 1988 growing season a stratified unaligned sampling scheme was used to collect 400-600 geo-referenced samples across the site (uniformly planted to a single variety of soybeans) for: geomorphological characteristics (microtopography, soil horizon depths, bulk density, texture); soil chemical characteristics (pH, NO3, NH4, total C, total N, moisture, inorganic P, trace metals); soil biological characteristics (N mineralization potentials, microbial biomass C, microbial biomass N, fungal/bacterial ratios, nematodes and other soil invertebrates; seed bank size); plant weed species abundance, weed biomass at peak standing crop); and insect characteristics (major pest and predator species). Most soil samples were taken before crop emergence, plant phenology samples were taken throughout the growing season, biomass samples were taken at physiological maturity, and insect samples were taken continuously. Dried soil and plant samples are archived for potential future analysis. original data source http://lter.kbs.msu.edu/datasets/6
  • N: 42.420265      S: 42.391019      E: -85.366857      W: -85.404699
  • knb-lter-kbs.3.22  
  • Data in the KBS LTER core database may not be published without written permission of the lead investigator or project director. These restrictions are intended mainly to preserve the primary investigators' rights to first publication and to ensure that data users are aware of the limitations that may be associated with any specific data set. These restrictions apply to both the baseline data set and to the data sets associated with specific LTER-supported subprojects. All publications of KBS data and images must acknowledge KBS LTER support.
  • doi:10.6073/pasta/76d29ecf52c4b05431515d6e7a0c39a4
  • https://pasta.lternet.edu/package/eml/knb-lter-kbs/3/22
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