uid=KBS,o=lter,dc=ecoinformatics,dc=orgalluid=sbohm,o=lter,dc=ecoinformatics,dc=orgallpublicreadhttps://lter.kbs.msu.edu/datasets/106.emlMichigan GLBRC Extensive Sites at the Kellogg Biological Station, Hickory Corners, MI (2008 to 2011)DouglasLandisMichigan State UniversityEast LansingMI48824US(517) 353-1829(517)353-5598landisd@msu.eduhttps://orcid.org/0000-0003-4943-6000BenjaminWerlingMichigan State UniversityEast LansingUSA517-432-5282werlingb@msu.eduKatherineGrossMichigan State University3700 East Gull Lake DriveHickory CornersMI49060US(269) 671-2235(269)671-2351grossk@kbs.msu.eduG.RobertsonMichigan State University3700 East Gull Lake DriveHickory CornersMI49060US(269) 760-8364(269)671-2351robert30@msu.eduhttp://orcid.org/0000-0001-9771-9895TimDicksonUniversity of Nebraska at OmahaUStdickson@unomaha.eduprincipal contactCarolBakerMichigan State University3700 East Gull Lake DriveHickory CornersMI49060(269) 671-2222(269)671-2351cbaker@kbs.msu.eduprincipal contactJessicaWoltzMichigan State UniversityEast LansingMichigan48824woltz@msu.eduprincipal contactSvenBohmMichigan State University3700 East Gull Lake DriveHickory CornersMI49060US(269) 205-3821(269 )671-2333bohms@msu.eduhttp://orcid.org/0000-0002-6224-7848principal contact2024-03-29Dataset Abstractoriginal data source http://lter.kbs.msu.edu/datasets/106LTERKBSKellogg Biological StationHickory CornersMichiganGreat LakesanppPopulationsDisturbancePrimary ProductionInorganic NutrientsLTER Core Research Areafarmingbiotahttps://apps.usgs.gov/thesaurus/thesaurus-full.php?thcode=15Data in the KBS LTER core database may not be published without written permission of the lead investigator or project director.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-85.404699-85.36685742.42026542.3910192008-01-012011-08-23Kellogg Biological StationData Managerlter.data.manager@kbs.msu.eduhttp://lter.kbs.msu.edu02vkce854KBS LTERPlant IdentificationData Managerhttp://lter.kbs.msu.edu/protocols/27Background:
Aboveground net primary productivity (ANPP) and species/category abundance is measured by harvesting the aboveground standing biomass and surface litter within a 1 m2 area. Current year’s biomass is sorted and bagged by species/category in the field. Surface litter was collected and bagged.
Robel pole assessments of plant density in prairie and switchgrass fields are done in four cardinal directions from the center of the harvested area before clipping begins. See Robel Pole method.Aboveground Net Primary Productivity- GLBRC Extensive SitesData Managerhttp://lter.kbs.msu.edu/protocols/126Location: Extensive sites of the GLBRC Biodiversity Experiment
Background:
This sampling protocol is an additive radii modification of R. H. Whittaker’s plant diversity sampling method (1). The sample areas are nested circles based at a fixed central point. Species composition is determined at 3 scales (See Figure 1)—
1 m2, radius = 0.56 m
10 m2, radius = 1.78 m
100 m2, radius = 5.64 m
Area of Circle = π r2; π = 3.14
Four non-overlapping stations are sampled in each field site. The location of the stations is established by the GLBRC insect diversity assessment team and marked with a stake and tall flag. This flag is the central anchor point for the nested circle areas.Species Composition - Nested Circles MethodData Managerhttp://lter.kbs.msu.edu/protocols/125Background:
The Robel Pole Method can be used to estimate the amount of standing biomass present at the time of measurement. Because the bird diversity team of the GLBRC Biodiversity Experiment used the Robel Pole method to assess plant density at extensive sites, the same method was employed by the primary production and plant species composition team in order to establish the correlation between Robel Pole plant density and biomass.Plant Density - Robel Pole MethodData Managerhttp://lter.kbs.msu.edu/protocols/127Background:
This sampling protocol is based on the method used by University of Wisconsin for GLBRC floral sampling (Intensive Week Protocols.pdf, received from Ben Werling 7/30/10). Species composition is assessed in ten 1 m2 quadrats along a transect adjacent and parallel to the station flags and outside of the nested circles method area. One transect assessment is done in each field site.Species Composition - Transect MethodData Managerhttp://lter.kbs.msu.edu/protocols/128The LTER GPS units are used for recording the locations of microplots, experiments, instrumentation, plot corners, sampling sites, events and many other LTER features. They are also used to navigate back to these locations and to navigate to new locations whose coordinates have been uploaded to the GPS.
When using the Trimble XRS Pro GPS with the Omnistar real-time correction service or the internal Coast Guard beacon we can expect submeter accuracy (approximately + 20 to +70). We keep the Omnistar real-time correction service on the GPS I data logger and the Coast Guard beacon on GPS II. We can always start the Omnistar service on GPS II if needed for $400/year.
We switched to the Coast Guard beacon from 25 June 2008- 3 August 2009 but we went back to the Omnistar service because the connection to the Coast Guard beacon wasn’t dependable . We are in a weak spot for the beacon and also in high humidity conditions it is more difficult to receive the signal. When we were able to get the connection the resolution was similar (5 cm – 30cm less accurate than Omnistar during the testing periods).GPS Protocol for the LTER LaboratoryData Managerhttp://lter.kbs.msu.edu/protocols/106
The LTER GPS units are used for recording the locations of microplots, experiments,instrumentation, plot corners, sampling sites, events and many other LTER features that need to be mapped in the LTER GIS.
They are also used to navigate back to these locations.
These instructions detail how to use the GPS in normal conditions and more challenging situations and also how to use the software in the lab to download, upload and convert data.
When using the Trimble XRS Pro GPS with the Omnistar real-time correction service,
we can expect submeter accuracy (+ 70 cm or better). Trimble XRS Pro GPS Instructions for the LTER LaboratoryData Managerhttp://lter.kbs.msu.edu/protocols/49Surface (0-25 cm) soil samples are typically collected in the fall, composited by plot, and sent to an analytical laboratory for analysis and for nutrient and liming recommendations for field crops. Analyses include pH, lime index, phosphorus, potassium, calcium, magnesium, and cation exchange capacity. Samples collected in the fall provide liming and fertilizer recommendations for the following year.
Deep cores (0-100 cm) are collected every 5-10 years and samples are analyzed separately by depth interval to monitor longer-term changes in composition with depth.
Sampling frequency: Depends on experiment and research objective.
Agronomic Soil Chemistry – Analytical Lab AnalysisData Managerhttp://lter.kbs.msu.edu/protocols/178LTER: KBS - Ecological and Social Mechanisms of Resilience in AgroecosystemsprogramNational Science Foundationhttp://dx.doi.org/10.13039/100000001DEB 2224712LTER: KBS - Ecological and Social Mechanisms of Resilience in Agroecosystemshttps%3A%2F%2Fnsf.gov%2Fawardsearch%2FshowAward%3FAWD_ID%3D2224712%26HistoricalAwards%3Dfalsehttps://lter.kbs.msu.edu/datatables/241Kellogg Biological Station LTER: Insect Counts via Sticky Traps (KBS080-001)Insects counts via yellow sticky traps at Michigan Extensive sites of the GLBRC Biofuel Biodiversity Study.Insect+Counts+via+Sticky+Traps.csvNone301\ncolumn,no"\https://lter.kbs.msu.edu/datatables/241.csvsample_datedate the trap was collectedYYYY-MM-DD11987-4-18statestate the sample location is instate the sample location is inhabitathabitat of the locationhabitat of the locationnamesite code that designates the sample locationsite code that designates the sample locationstationsample site within a locationsample site within a locationfamilyfamily name of the insectfamily name of the insectgenusgenus name of the insectgenus name of the insectspeciesspecies name of the insectspecies name of the insectcommon namecommon name of the insectcommon name of the insectcodeinsect code nameinsect code namecountnumber of insects observed on the sticky cardnumberintegerhttps://lter.kbs.msu.edu/datatables/246Kellogg Biological Station LTER: Plant Biomass (KBS080-002)Above-ground plant biomass of grassland, switchgrass and corn from Michigan Extensive sites of the GLBRC Biofuel Biodiversity Study, divided into broad groups.
At each site, standing plant biomass was clipped to the ground and surface litter was collected from a measured area. Biomass was sorted into broad groups: corn ears, corn stalks, switchgrass, big bluestem, indiangrass, other grass, forbs and surface litter. Biomass was dried and weighed. Robel pole measurements were taken at each site to correlate to biomass.Plant+Biomas.csvNone261\ncolumn,no"\https://lter.kbs.msu.edu/datatables/246.csvsample_datedate of sample collectionYYYY-MM-DD11987-4-18siteexperiment locationexperiment locationhabitatbiofuel cropbiofuel cropsitenameExtensive site nameExtensive site namespeciesspecies sampledspecies sampledbiomassamount of biomass collectedgramsPerSquareMeterrealcommentnotes about the data rownotes about the data rowhttps://lter.kbs.msu.edu/datatables/244Kellogg Biological Station LTER: Plant Species Composition via Nested Circles Method (KBS080-003)Plant species composition in the Michigan Extensive sites of the GLBRC Biofuel Biodiversity Study via the nested circles method of 1, 10, and 100 m2 centered on the sampling station.Plant+Species+Composition+via+Nested+Circles+Method.csvNone261\ncolumn,no"\https://lter.kbs.msu.edu/datatables/244.csvsample_datedate of sample collectiondate of sample collectionsiteexperiment locationexperiment locationhabitatbiofuel cropbiofuel cropsitenamebiofuel cropbiofuel cropspeciesplant speciesplant speciesarea_of_first_occurrencespecies first occurred in nested area of 1,10 or 100m2squareMeterintegercommentsspecific notes about the data rowspecific notes about the data rowhttps://lter.kbs.msu.edu/datatables/250Kellogg Biological Station LTER: Plant Density via Robel Pole Measurements - Raw Data (KBS080-004)Robel pole measurements at Michigan Extensive sites of the GLBRC Biofuel Biodiversity Study that correspond with plant biomass measurements to estimate plant density.Plant+Density+via+Robel+Pole+Measurements+-+Raw+Data.csvNone281\ncolumn,no"\https://lter.kbs.msu.edu/datatables/250.csvsample_datedate of sample collectiondate of sample collectionsiteState (Michigan) of experimentState (Michigan) of experimenttreatmenthabitathabitatreplicatereplicatereplicatestationsampling locationsampling locationdirectionrobel pole reading was taken in this direction from the station flag
robel pole reading was taken in this direction from the station flag
robel _reading_cmrobel pole readingcentimeterintegercommentscomment about the observationcomment about the observationhttps://lter.kbs.msu.edu/datatables/256Kellogg Biological Station LTER: Plant Species Composition via Transect Method (KBS080-005)Plant species composition in the Michigan Extensive sites of the GLBRC Biofuel Biodiversity Study using the transect method.Plant+Species+Composition+via+Transect+Method.csvNone261\ncolumn,no"\https://lter.kbs.msu.edu/datatables/256.csvsample_datedate of sample collectiondate of sample collectionsiteexperiment locationexperiment locationhabitatbiofuel cropbiofuel cropsitenamename of site sampledname of site sampledspeciesplant speciesplant speciesquadratquadrat numberquadrat numbercommentsnote about the samplenote about the samplehttps://lter.kbs.msu.edu/datatables/278Kellogg Biological Station LTER: Corn Stand Counts (KBS080-006)Corn population estimates were done by counting the number of stalks and ears on a 1 meter quadrant at each station.Corn+Stand+Counts.csvNone241\ncolumn,no"\https://lter.kbs.msu.edu/datatables/278.csvsample_datedate of sample collectiondate of sample collectionsiteexperiment locationexperiment locationsitenameExtensive site nameExtensive site namenumber_stalksnumber of corn stalks collected for weighing from a station per meter squarednumberPerMeterSquaredintegernumber_earsnumber of corn ears collected for weighing from a station per meter squarednumberPerMeterSquaredintegerhttps://lter.kbs.msu.edu/datatables/284Kellogg Biological Station LTER: GPS Coordinates of GLBRC Extensive Sites (KBS080-007)Point location coordinates for Extensive sites of the GLBRC Biofuel Biodiversity Study collected with GPS (global positioning system).GPS+Cordinates+of+GLBRC+Extensive+Sites.csvNone271\ncolumn,no"\https://lter.kbs.msu.edu/datatables/284.csvstart_datedate when the sampling station was first usedYYYY-MM-DD11987-4-18end_datedate when the sampling station was last usedYYYY-MM-DD11987-4-18statestate the Extensive site is located instate the Extensive site is located inhabitatbiofuel cropbiofuel cropsite_codesite code, unique within State and habitatssite code, unique within State and habitatsstationsampling locationsampling locationeastingX coordinate in UTM projection (zone 16N)meterrealnorthingY coordinate in UTM projection (zone 16N)meterrealhttps://lter.kbs.msu.edu/datatables/319Kellogg Biological Station LTER: Soil Test Lab Analyses - Agronomic (KBS080-009)Chemical analyses of soils taken from Michigan Extensive sites of the GLBRC Biofuel Biodiversity Study and analyzed by the Michigan State University Soils Laboratory.Soil+Test+Lab+Analyses+-+Agronomic.csvNone311\ncolumn,no"\https://lter.kbs.msu.edu/datatables/319.csvsample_datedate the sample was collectedYYYY-MM-DD11987-4-18stateState (Wisconsin or Michigan)State (Wisconsin or Michigan)habitatbiofuel cropbiofuel cropsitenameExtensive experiment site nameExtensive experiment site namesitecodesite code, unique within State and habitats onlysite code, unique within State and habitats onlysampling_depthsampling depthsampling depthphsoil pHdimensionlessreallime_indexindicator of potential aciditydimensionlessintegerp_ppmphosphorus concentrationmilligramsPerKilogramrealk_ppmpotassium concentrationmilligramsPerKilogramrealca_ppmcalcium concentrationmilligramsPerKilogramrealmg_ppmmagnesium concentrationmilligramsPerKilogramreal