79e0b10a-9154-418b-b56a-11f1b839c6e4SIGNALAnita SwieterJulius Kühn-InstitutBundesallee 58BraunschweigLower Saxony38116Germanyanita.swieter@julius-kuehn.depointOfContact2021-01-06BonaRes Metadata Schema (https://doi.org/10.20387/BonaRes-5PGG-8YRP)1.04326urn:ogc:def:crs:EPSG6.11.2Cropland agroforestry 2015-2018Agroforst mit Ackerstreifen 2015-20182018-03-072017-10-192019-08-192019-12-01https://doi.org/10.20387/bonares-c6pk-yxq8Data were collected at a short rotation coppice agroforestry site established at Wendhausen (Lower Saxony, Germany) in 2008. At this site, 10 m wide poplar strips ("Max 1" (P. nigra L. x P. maximowiczii Henry)) are alternating with 48 m wide crop alleys. Yield and selected quality parameters of annual crop plants were assessed in 2016 and 2017. The total amount of litter per square meter was assessed yearly (2015-2017) during the whole period of litterfall. The biomass yield of the poplar short-rotation coppice was estimated yearly (2016 to 2018).Daten wurden in einem 2008 etablierten Kurzumtrieb-Alley-Cropping Agroforstsystem in Wendhausen (Niedersachsen, Deutschland) erhoben. Das Agroforstsystem besteht aus 10 m breiten Pappel-Streifen (Sorte "Max 1" (P. nigra L. x P. maximowiczii Henry) und dazwischenliegenden 48 m breiten Ackerstreifen. Der Ertrag der Ackerkulturen sowie ausgewählte Qualitätsparameter wurden 2016 und 2017 bestimmt. Die gesamte Pappellaubmenge pro Quadratmeter wurde von 2015 bis 2017 jährlich während der gesamten Periode des Laubfalls gemessen. Der Holzertrag der Pappeln im Kurzumtrieb wurde jährlich (2015-2018) geschätzt.Maren LanghofJulius Kühn-InstitutBundesallee 58Braunschweig38116Germanymaren.langhof@julius-kuehn.deauthorAnita SwieterJulius Kühn-InstitutBundesallee 58Braunschweig38116Germanyanita.swieter@julius-kuehn.deauthorJörg Michael GreefJulius Kühn-InstitutBundesallee 58Braunschweig38116Germanyjoerg-michael.greef@julius-kuehn.deprojectLeaderBonaRes Data CentreLeibniz Centre for Agricultural Landscape Research (ZALF)Research Platform 'Data' - WG Geodata+49 33432 82 171+49 33432 82 4082Eberswalder Strasse 84MünchebergBrandenburg15374Germanybonares-datenzentrum@zalf.depublisherhttps://b-web-e.bonares.de:443/smartEditor/preview/Fig_Grasslandyield_MS.pdfSketch of the agroforestry site at Wendhausen showing sampling positions (1, 4, 7, and 24 m from the tree strips) of cropland yield and quality.agroforestry systems Crop yield Quality Wood Forest litterAGROVOC Multilingual agricultural thesaurus2017-07-01Land useEnergy resourcesagroforestryyield (agricultural)crop productionwoodleafGEMET - Concepts, version 2.42012-07-20BodenGEMET - INSPIRE themes, version 1.02008-06-01opendataIndividual2020-01-17Restrictions applied to assure the protection of privacy or intellectual property, and any special restrictions or limitations or warnings on using the resource or metadata. (e.g. Reports, articles, papers, scientific and non-scientific works of any form, including tables, maps, or any other kind of output, in printed or electronic form, based in whole or in part on the data supplied, must contain an acknowledgement of the form: "Data re-used from the BonaRes Data Centre www.bonares.de. This data were created as part of BonaRes Module A-Project - SIGNAL's research activities." Although every care has been taken in preparing and testing the data, BonaRes Module A-Project-SIGNAL and BonaRes Data Centre cannot guarantee that the data are correct; neither does BonaRes Module A-Project and BonaRes Data Centre accept any liability whatsoever for any error, missing data or omission in the data, or for any loss or damage arising from its use. The BonaRes Module A-Project-SIGNAL and BonaRes Data Centre will not be responsible for any direct or indirect use which might be made of the data. The access to this data is restricted during embargo time. If prior access is requested, contact the data owner/author.)CC BYe0f5e0c1-05ba-4735-b4ad-8ff8cc33bcb4Handle98a99b69-eec4-4208-9a33-b71b2b1cc81fHandlehttps://doi.org/10.20387/bonares-4984-ZWYRDOIfarmingtrue10.610.652.352.3CSVMicrosoft Excel (xlsx)File-GeodatabaseBonaRes Data CentreLeibniz Centre for Agricultural Landscape Research (ZALF)Research Platform 'Data' - WG Geodata+49 33432 82 171+49 33432 82 4082Eberswalder Strasse 84MünchebergBrandenburg15374Germanybonares-datenzentrum@zalf.dehttps://www.bonares.de/research-datadistributorhttps://maps.bonares.de/mapapps/resources/apps/bonares/index.html?lang=en&mid=79e0b10a-9154-418b-b56a-11f1b839c6e4BonaRes Metadata Schema 1.0, August 20172017-10-27trueDry matter yield oilseed rape and winter wheat: Fresh matter weight of oilseed rape and winter wheat was noted in list (handwritten) and retyped (Excel). Dry matter yield calculated from values, including conversion of units. Dry matter content oilseed rape and winter wheat: Fresh matter weight and dry matter weight of oilseed rape and winter wheat was noted in list (handwritten) and retyped (Excel). Dry matter content calculated from values. Thousand seed weight of oilseed rape and winter wheat: Weight of thousand seeds was noted in list (handwritten) and retyped (Excel). Crude protein, crude fat: Estimated from NIRS spectra. Dry matter leaf litter: Weight of the wet litter as well as weight of the dry litter was noted in list (handwritten) and retyped (Excel). Dry matter per square meter calculated from values, including conversion of units. Estimated wood yield: Estimated from DBH (diameter at breast height).DBH of 50% of trees was measured and from resulting data range, 25 diameters were chosen and 25 trees with those diameters were manually cut, chipped and weighed.In order to determine the water content, a sample was dried for several days at 60°C to constant weight. Weight of the wet wood as well as weight of the dry wood was noted in list (handwritten) and retyped (Excel). Allometric power equations were used to predict dry matter from the DBH. The minicontainer method according to Eisenbeis et al. (1999) was used to determine the decomposition of leaves and crop residues; the decomposition rate was calculated according to Adair et al. (2010). Adair EC, Hobbie SE, Hobbie RK (2010) Single-pool exponential decomposition models: potential pitfalls in their use in ecological studies. Ecology 91(4):1225-1236. https://doi.org/10.1890/09-0430.1. Eisenbeis G, Lenz R, Heiber T (1999) Organic Residue Decomposition: The Minicontainer-System A Multifunctional Tool in Decomposition Studies. Environ. Sci. & Pollut. Res. 6(4).