uid=KBS,o=lter,dc=ecoinformatics,dc=orgalluid=sbohm,o=lter,dc=ecoinformatics,dc=orgallpublicreadhttps://lter.kbs.msu.edu/datasets/40.emlNicholasHaddadMichigan State University

3700 E Gull Lake DriveHickory Corners49060US

haddad@kbs.msu.edu0000-0002-1591-9322AlexandraKravchenkoMichigan State University

East LansingMI48824US

(517) 355-0271 x1241kravche1@msu.edu0000-0001-5920-927XG.RobertsonMichigan State University

3700 East Gull Lake DriveHickory CornersMI49060US

(269) 760-8364(269)671-2351robert30@msu.edu0000-0001-9771-9895original investigatorSvenBohmMichigan State University

3700 East Gull Lake DriveHickory CornersMI49060US

(269) 205-3821(269 )671-2333bohms@ideomatic.dev0000-0002-6224-7848principal contact2026-10-05

original data source http://lter.kbs.msu.edu/datasets/40

LTERKBSKellogg Biological StationHickory CornersMichiganGreat LakesbiomassGPSGISgpsprimaryproductionyieldsglobalpositioningsystemgisharvestsPrimary ProductionDisturbanceLTER Core Research ArealocationsGPSharvestsyieldharvestingGISgeographic information systemsglobal positioning systemagriculturefarmingbiotahttps://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in the KBS LTER core database may not be published without written permission of the lead investigator or project director.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-85.404699-85.36685742.42026542.3910191996-10-292013-07-24Kellogg Biological StationData Managerlter.data.manager@kbs.msu.eduhttp://lter.kbs.msu.edu02vkce854KBS LTERSampling Frequency: minimum of once per year Harvestable biomass in each cropped plot is measured at the time of crop harvest. For grains, the agricultural grain harvester is fitted with a GPS-referenced yield monitoring system to provide yield maps for each 1 ha treatment plot. Additionally, grain is off-loaded into weigh wagons and weighed at the KBS dairy . Alfalfa and wheat straw is measured on a gravimetric basis per plot after it has been cut and baled. Gravimetric moisture content is measured and subtracted from the biomass and the harvestable biomass estimate presented as dry weight alfalfa or straw per area.Data Managerhttp://lter.kbs.msu.edu/protocols/29Agronomic yields are defined as the crop grain and non-grain biomass harvested in a given growing cycle and serve as the basic measurement for comparing production differences among treatments. For annual row-cropping systems of corn, soybean and wheat, yield is determined as the grain biomass collected during harvest; for annual sorghum, yield is determined as the non-grain biomass harvested. For perennial crops, including monoculture systems, such as switchgrass and miscanthus, and polyculture systems that are harvested annually, such as restored prairie, native grasses,and early successional (GLBRC only), yield is determined as the biomass harvested at the end of the growing season. For alfalfa, harvested several times per year, yield is the sum of biomass harvested over the growing season. For woody cropping systems of short-rotation poplar, annual yield is determined as the biomass collected at clear-cutting divided by the number of years of growth. Crops are harvested using commercial sized equipment; for the specific harvesters and equipment used see the Agronomic Activity Report (KBS004-012) or search the Ag-log at https://aglog.kbs.msu.edu/ for Harvest under the Observations tab. Data Managerhttp://lter.kbs.msu.edu/protocols/194programNational Science Foundationhttp://dx.doi.org/10.13039/100000001DEB 2224712https%3A%2F%2Fnsf.gov%2Fawardsearch%2FshowAward%3FAWD_ID%3D2224712%26HistoricalAwards%3Dfalsehttps://lter.kbs.msu.edu/datatables/80Kellogg Biological Station LTER: Geo-referenced Annual Crop Yields - Raw Data (KBS037-001)Raw data of annual crop harvests of corn, soy and wheat from the Main Cropping System Experiment at the LTER Main Site using the GPS yield monitor on the LTER harvest combine. Data are given as geo-referenced grain flow-rate data which can be used to calculate yield. See the “Related Tables” for processed yield data.Geo-referenced+Anual+Crop+Yields+-+Raw+Data.csvNone351\ncolumn,no"\https://lter.kbs.msu.edu/datatables/80.csvlongitudelongitude of monitor at time of readingdegree1.0e-06reallatitudelatitude of monitor at time of readingdegree1.0e-06realcrop_flow_lb_sflow rate of grain passing the sensorpoundsPerSecondrealdatetimedate and time of the samplingYYYY-MM-DD11987-4-18duration number of seconds since the last readingsecondintegerdistance_inlength of sampled areainchrealswth_wdth_inwidth of sampled area (swath)inchrealmoisturegravimetric moisture of graingramsPerHectogramrealstatusheader status (up or down)header status (up or down)pass_numan number that is incremented on each pass of the fieldan number that is incremented on each pass of the fieldserial_numberserial number of yield monitoring deviceserial number of yield monitoring devicefielduser-assigned designation for sampled fielduser-assigned designation for sampled fielddatasetuser-assigned designation for load within a fielduser-assigned designation for load within a fieldproductuser-assigned designation for crop being sampleduser-assigned designation for crop being sampledelevation_ftaltitude of GPS systemfootrealhttps://lter.kbs.msu.edu/datatables/185Kellogg Biological Station LTER: Geo-referenced Annual Crop Yields - Processed (KBS037-002)Annual crop harvest yields of corn, soy and wheat from the Main Cropping System Experiment at the LTER Main Site as calculated by the John Deere Ag Office software using the grain flow-rate data as supplied by the GPS yield monitor on the LTER harvest combine (see the data in “Related Tables”).Geo-referenced+Anual+Crop+Yields+-+Procesed.csvNone251\ncolumn,no"\https://lter.kbs.msu.edu/datatables/185.csvlongitudesample locationdegreereallatitudesample locationdegreerealyieldgrain yieldbushelPerAcrerealspeciesharvested cropharvested cropmoisturegrain moisture in percentgramsPerHectogramrealyearyear the crop was harvestedYYYY11987-4-18https://lter.kbs.msu.edu/datatables/828Kellogg Biological Station LTER: Geo-referenced Annual Crop Yields - Processed JD (KBS037-003)Geo-referenced annual crop yields as reported by the John Deere cloud software. This data table covers the LTER MCSE.Geo-referenced+Anual+Crop+Yields+-+Procesed+JD.csvNone321\ncolumn,no"\https://lter.kbs.msu.edu/datatables/828.csvlongitudedecimal longitude WSG84 datumdegrees latitude or longitudereallatitudedecimal latitude WSG84 datumdegrees latitude or longituderealyield_bu_acwet yieldbushelPerAcrerealcropcrop namecrop namevarietyvariety name as recorded during harvestvariety name as recorded during harvestmoisturepercent moisture measured by the yield monitorgramsPerHectogramrealpercent_dry_matterpercent dry matter as calculated by the yield monitorgramsPerHectogramrealsample_datetimeharvest datetimeYYYY-MM-DD hh:mm:ssZ11987-4-18headingthe direction the machine is traveling. I think that 0 is north.degreerealdistance_ftthe distance the machine traveled for this datapointfootrealswath_width_ftthe width of the harvester headfootrealtreatmentMCSE treatment nameMCSE treatment namereplicateMCSE replicate nameMCSE replicate name