uid=KBS,o=lter,dc=ecoinformatics,dc=orgalluid=sbohm,o=lter,dc=ecoinformatics,dc=orgallpublicreadhttps://lter.kbs.msu.edu/datasets/220.emlStand Counts of the Biofuel Cropping System Experiment at the Kellogg Biological Station, Hickory Corners, MI (2008 to 2025)RandyJacksonUniversity of WisconsinUS(608)262-1390rdjackson@wisc.edu0000-0002-8033-1250G.RobertsonMichigan State University3700 East Gull Lake DriveHickory CornersMI49060US(269) 760-8364(269)671-2351robert30@msu.edu0000-0001-9771-9895GreggSanfordUniversity of WisconsinMadisonWisconsin53706USgregg.r.sanford@gmail.com0000-0001-5019-9095principal contactHsun-YiHsiehMichigan State UniversityUShsiehhs7@msu.edu0000-0003-2245-3695data manager2026-04-17Dataset Abstractoriginal data source http://lter.kbs.msu.edu/datasets/220LTERKBSKellogg Biological StationHickory CornersMichiganGreat Lakesstandcountswitchgrasspopulationfarmingbiotahttps://apps.usgs.gov/thesaurus/thesaurus-full.php?thcode=15Data in the KBS LTER core database may not be published without written permission of the lead investigator or project director.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.The areas around the Kellogg Biological Station in southwest Michigan-85.404699-85.36685742.42026542.3910192008-01-012023-05-31Kellogg Biological StationData Managerlter.data.manager@kbs.msu.eduhttp://lter.kbs.msu.edu02vkce854KBS LTERStand counts can be used to evaluate seedling emergence, density, and distribution. We use the Vogel-Masters stand count method (Vogel and Masters, 2001) in herbaceous perennial treatments to measure frequency of occurrence or stand percentages of a single target species (i.e., switchgrass, miscanthus) or of a given growth form (i.e., native grasses). Dividing the frequency of occurrence by the total area examined provides a conservative estimate of plant density (plants/m2).
This protocol should be completed annually during the establishment phase.Stand Counts – PerennialsData Managerhttp://lter.kbs.msu.edu/protocols/175https://lter.kbs.msu.edu/datatables/397Kellogg Biological Station LTER: Stand Counts of Perennials (GLBRC_010)Stand counts of perennial crop treatments conducted in early spring to assess crop establishment and recruitment.Stand+Counts+of+Perenials.csvNone301\ncolumn,no"\https://data.sustainability.glbrc.org/datatables/397.csvyearyear of measurementYYYY11987-4-18sample_datesampling dateYYYY-MM-DD11987-4-18sitelocation of plotslocation of plotstreatmentexperiment treatmentexperiment treatmentreplicatereplicate of each treatmentreplicate of each treatmentaverage_stand_countstand count of plantsnumberPerMeterSquaredtexthttps://lter.kbs.msu.edu/datatables/342Kellogg Biological Station LTER: Poplar Stand Counts (GLBRC082-009)Stand counts of the poplar treatment (G8) to document the survival of planted poplar trees. All alive trees in each row are counted and the number of dead or missing trees recorded; tree damage is noted when extensive.Poplar+Stand+Counts.csvNone281\ncolumn,no"\https://data.sustainability.glbrc.org/datatables/342.csvsample_datedate of the observationYYYY-MM-DD11987-4-18sitesite where the plot is locatedsite where the plot is locatedreplicatereplicate plot that was observedreplicate plot that was observedrowrow in the plot that was observedrow in the plot that was observedalivenumber of trees in the row that were alivenumberintegerdeadnumber of trees in the row that were deadnumberintegermissingnumber of trees in the row that were missingnumberintegerwi_plotnumeric plot number if anynumeric plot number if anycommentscomments relevant to data rowcomments relevant to data rowhttps://lter.kbs.msu.edu/datatables/518Kellogg Biological Station LTER: Stem Counts of Annuals (GLBRC082-012)Stem counts of annual crop treatments (G1-G4, depending on year), determined as the number of stems of target crop species in quadrat samples collected at peak biomass for annual crops, at harvest for cover crops, and for other biomass sampling campaigns.Stem+Counts+of+Anuals.csvNone331\ncolumn,no"\https://data.sustainability.glbrc.org/datatables/518.csvyeargrowing season yearYYYY11987-4-18campaignsampling effort with which the sample is associatedsampling effort with which the sample is associatedsample_datedate stems were countedYYYY-MM-DD11987-4-18sitelocation of countlocation of counttreatment_namedescription of treatment (note that some treatments changed over time) description of treatment (note that some treatments changed over time) treatmentexperimental treatmentexperimental treatmentreplicatereplicate nested within treatmentreplicate nested within treatmentstationsampling locationsampling locationspeciesplant speciesplant speciesplant_population_m2number of plants in meter2 quadratsquareMeterrealsample_area_m2area sampledsquareMeterrealannual_cropmain crop in given yearmain crop in given yearwi_plot_idArlington Wisconsin plot codeintegercommentssample notessample notes