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Number of available datasets: 160
Multiyear soil, plant, weather and treatment data from an erosion-affected soil landscape in the Uckermark region, NE Germany10.4228/ZALF.DK.64CarboZALF, Uckermark, Quillow, NE GermanyShowOnMapView sample dataDownload complete datasetCreative Commons Attribution 4.0

​Sommer, Michael; Hoffmann, Mathias; Gerke, Horst H.; Meier, Kristin

Agricultural landscapes represent amajor component in the global carbon (C) cycle. Especially their behavior asCO2 sources or sinks is still under debate. In 2009 a long-term,interdisciplinary field experiment (CarboZALF-D) was established, toquantify all C fluxes at characteristic soil-plant-systems. Our researchfocused on the feedbacks of soil erosion on C fluxes, C balances and relateddrivers. Therefore, experimental plots were designed in a way to represent afull gradient of soil erosion: non-eroded, strongly eroded, extremelyeroded, and depositional soils. Here, we present data on basic physical andchemical soil properties, weather (incl. rainfall chemistry), treatments(farming practice), and crops (incl. LAI dynamics, biomass, yields,nutrients) of four representative plots over a seven-year period(2010-2016). Comprehensive scientific publications on complex interactionsin the soil-plant-atmosphere system are listed below.
Sommer, Michael; Hoffmann, Mathias; Gerke, Horst H.; Meier, Kristin (2020) Multiyearsoil, plant, weather and treatment data from an erosion-affected soillandscape in the Uckermark region https://www.doi.org/10.4228/ZALF.DK.64

​ProjectLeader: Augustin, Jürgen
ProjectLeader: Sommer, Michael
DataCollector: Gerke, Horst H.
DataCollector: Hierold, Wilfried
DataCollector: Onasch, Ingrid
DataCollector: Rakowski, Peter
DataCollector: Rieckh, Helene
DataCollector: Schmidt, Marten
DataCollector: Wypler, Norbert
DataCollector: Zindler, Nico
DataManager: Moritz, Ute
DataManager: Verch, Gernot
DataManager: Völker, Lidia
ContactPerson: Sommer, Michael
DataCurator: Meier, Kristin
HostingInstitution: Leibniz Centre for Agricultural Landscape Research (ZALF)

Longterm effects of different mineral and organic fertilizer and soil cultivation on the yield in a crop rotation (Northeast Germany)10.4228/ZALF.DK.63DedelowShowOnMapView sample dataDownload complete datasetCreative Commons Attribution 4.0

​Verch, Gernot

The data set contains yield data from a longterm field experiment. Thetreatments were tillage (ploughing/no-ploughing), mineral nitrogenfertiliser (70/120 kg N/ha a ) and organic fertiliser (100 t to 150t/ha acattle slurry). The crop rotation were sugar beet-springbarley-potato-winter wheat (1981-1990) and sugar beet-winter wheat-maize-triticale (1991-2001).
Verch, Gernot (2020) Longterm effects of different mineral and organic fertilizer and soil cultivation on the yield in a crop rotation (Northeast Germany). Leibniz Centre for Agricultural Landscape Research (ZALF) https://www.doi.org/10.4228/ZALF.DK.63

​DataCollector: Verch, Gernot (ZALF, Müncheberg (Germany), GRID: 433014.1)
ContactPerson: Verch, Gernot (ZALF, Müncheberg (Germany), GRID: 433014.1)
HostingInstitution: Leibniz Centre for Agricultural Landscape Research (ZALF), Müncheberg (Germany), GRID: 433014.1

Data on the effect of cultivars and irrigation on soybean yield and rotational effects10.4228/ZALF.DK.103Site Muencheberg, GermanyShowOnMapView sample dataDownload complete datasetCreative Commons Attribution 4.0
Abstract: This data set reports measurements and observations from a soybean cropping system experiment (2015-2018) investigating the effects of cultivars and irrigation on soybean yield and rotational effects on a subsequent cereal crop. The objective was to design novel soybean-supported cropping systems in north-eastern Germany. The data supports agronomic analyses, as well as dynamic simulation modelling and includes details on crop growth, soil characteristics and weather. In the first part of the experiment different soybean cultivars and the effect of irrigation were compared in a split block design with six replicates and the factors cultivar and irrigation during three consecutive years (2015-2017). The treatments included with and without irrigation and three early maturing soybean cultivars of maturity group 000 (cv. Merlin and cv. Sultana for feed use and cv. Protibus for human food use). Buckwheat and Narrow-leafed lupin (cv. Probor) were cultivated as references. Seeds were inoculated with HISTICK® soybean (BASF, Germany). Measurements included whole plant biomass, grain yield, one thousand seed weigh, macro nutrients (N, P, K) in the biomass and grain, and additional agronomic observations including number of plants and plant phenology. Irrigation water was applied with a sprinkler system using the Web-BEREST model (Mirschel et al., 2014) to determine the amounts and timing (data on the amounts and dates are provided). In the second part of the experiment, the pre-crop effect of soybean (without cover crop), narrow-leafed lupin (followed by turnip rape as a cover crop), and buckwheat (without cover crop) was tested on the grain yield and nutrient content in the following oat crop and on the nitrogen dynamics in the soil. Before winter (November) and in the subsequent spring (March), mineral nitrogen was measured in the soil at three depths (0-30 cm, 30-60 cm, and 60-90 cm) after the different pre-crops. A spring oat was established following the different pre-crops with 6 replicates during three consecutive years (2016-2018).
Reckling, Moritz; Rosner, Gunhild (2019) Data on the effect of cultivars and irrigation on soybean yield and rotational effects. Leibniz Centre for Agricultural Landscape Research (ZALF) https://www.doi.org/10.4228/ZALF.DK.103

​IsSupplementedBy DOI: https://doi.org/10.4228/ZALF.DK.105 (Weather data 2018 Muencheberg)
IsSupplementedBy DOI: https://doi.org/10.4228/ZALF.DK.104 (Weather data 2017 Muencheberg)
IsSupplementedBy DOI: https://doi.org/10.4228/ZALF.2016.331 (Weather data 2016 Muencheberg)
IsSupplementedBy DOI: https://doi.org/10.4228/ZALF.2015.330 (Weather data 2015 Muencheberg)
Documents DOI: https://doi.org/10.1016/j.eja.2019.125951 (Re-designing organic grain legume cropping systems using systems agronomy)

Plant structural trait data for four typical macrophyte species of kettle holes in NE-Germany10.4228/ZALF.DK.138Site Quillow, Brandenburg, GermanyShowOnMapView sample dataDownload complete datasetCreative Commons Attribution 4.0

​Pätzig, Marlene; Geiger, Frenze

The published Excel file contains plant structural trait data for four typical macrophyte species of kettle holes (i.e. Carex riparia, Phalaris arundinacea, Rorippa amphibia and Persicaria amphibia) that where used in the article “Allometric relationships for selected macrophytes of kettle holes in northeast Germany as a basis for efficient biomass estimation using unmanned aerial systems (UAS)”. The surveyed kettle holes are located in the AgroScapeLab Quillow, an intensively cultivated agricultural young moraine landscape 90 km north of Berlin, Germany. In total, 12 kettle holes were chosen. Within each kettle hole three habitats were selected per species. In each of the three species specific habitats one sample (0.25 x 0.25 m plots) was taken monthly from May to July 2016.
Pätzig, Marlene; Geiger, Frenze (2019) Plant structural trait data for four typical macrophyte species of kettle holes in NE-Germany. Leibniz Centre for Agricultural Landscape Research (ZALF) https://www.doi.org/10.4228/ZALF.DK.138

​ContactPerson: Pätzig, Marlene (ZALF, Müncheberg (Germany), GRID: 433014.1)
DataCollector: Geiger, Frenze (ZALF, Müncheberg (Germany), GRID: 433014.1)

Allelic data from neutral markers (microsatellites) to assess genetic connectivity and diversity of four wetland plant species occurring in kettle holes10.4228/ZALF.DK.110QuillowShowOnMapView sample dataDownload complete datasetCreative Commons Attribution 4.0
Lozada Gobilard, Sissi D., Joshi, Jasmin, Tiedemann, Ralf, Schwarzer, Christian, Dyer, Rodney
Lozada Gobilard, Sissi D., Joshi,
Jasmin, Tiedemann, Ralf, Schwarzer, Christian, Dyer, Rodney (2019)
Allelic data from neutral markers (microsatellites) to assess genetic connectivity and diversity of four wetland plant species occurring in kettle holes
https://www.doi.org/10.4228/ZALF.DK.110
​ContactPerson: Lozada Gobilard, Sissi D. (University of Potsdam, GRID: 11348.3f)
DataCollector: Joensson, Sandra (University of Potsdam, GRID: 11348.3f)
DataCollector: Donat, Marco (University of Potsdam, GRID: 11348.3f)
DataCollector: Lozada Gobilard, Sissi D. (University of Potsdam, GRID: 11348.3f)
DataManager: Lozada Gobilard, Sissi D. (University of Potsdam, GRID: 11348.3f)
ProjectLeader: Joshi, Jasmin (University of Potsdam, GRID: 11348.3f)
ProjectLeader: Tiedemann, Ralph (University of Potsdam, GRID: 11348.3f)
ProjectMember: Lozada Gobilard, Sissi D. (University of Potsdam, GRID: 11348.3f)
ProjectMember: Joshi, Jasmin (University of Potsdam, GRID: 11348.3f)
ProjectMember: Schwarzer, Christian (University of Potsdam, GRID: 11348.3f)
ProjectMember: Tiedemann, Ralph (University of Potsdam, GRID: 11348.3f)
ProjectMember: Dyer, Rodney (University of Potsdam, GRID: 11348.3f)
Researcher: Lozada Gobilard, Sissi D. (University of Potsdam, GRID: 11348.3f)
Supervisor: Joshi, Jasmin (University of Potsdam, GRID: 11348.3f)
Supervisor: Tiedemann, Ralph (University of Potsdam, GRID: 11348.3f)
Water quality and macrophyte data collected between 1994-1999 from 20 ponds in NE-Germany.10.4228/ZALF.DK.136MünchebergShowOnMapView sample dataDownload complete datasetCreative Commons Attribution 4.0

​Pätzig, Marlene; Kalettka, Thomas; Onandia, Gabriela; Balla, Dagmar; Lischeid, Gunnar

Pätzig, Marlene; Kalettka, Thomas; Onandia, Gabriela; Balla, Dagmar; Lischeid, Gunnar (2019) Water quality and macrophyte data collected between 1994-1999 from 20 ponds in NE-Germany. Leibniz Centre for Agricultural Landscape Research (ZALF) https://www.doi.org/10.4228/ZALF.DK.136

​ContactPerson: Pätzig, Marlene: ZALF, Müncheberg (Germany), GRID: 433014.1
DataCollector: Kalettka, Thomas
DataCollector: Henning, Dorith
Researcher: Lehr, Christian
HostingInstitution: Leibniz Centre for Agricultural Landscape Research (ZALF), Müncheberg (Germany), GRID: 433014.1

Script for re-creating the location of farms from non-spatial data10.4228/ZALF.DK.134-no geolocationDownload complete datasetCreative Commons Attribution 4.0

​Kiesel, Joachim

This data set contains files that are necessary for farm allocation method. They accompany the article “Re-creating the location of farms from non-spatial data: spatial allocation of single farm data” (authors: Sandra Uthes, Joachim Kiesel), submitted to the journal Agricultural Systems. The allocation methods was developed for modelling tasks requiring spatially-explicit farm locations, for example, to simulate land market decisions. Usually spatially-explicit farm data is not available for reasons of data protection and only farm typology data with aggregated spatial information (such as the share of arable land or the mean soil fertility of the farm) is at hand. Our method considers several landscape parameters for the allocation of farms, using a fine resolution (25m*25m) and introducing allocation quality indicators that allow for an assessment of the overall allocation result. The approach is implemented in the Geographical Information System (GIS) ArcInfo/ArcGIS by ESRI using the tools and script language (AML) offered by this software and operated on a BS Solares Unix Server.
Kiesel, Joachim (2019) Script for re-creating the location of farms from non-spatial data. Leibniz Centre for Agricultural Landscape Research (ZALF) https://www.doi.org/10.4228/ZALF.DK.134

​Researcher: Uthes, Sandra; ZALF, Müncheberg (Germany)(GRID: 433014.1)(ORCID:0000-0002-2527-7052)
HostingInstitution: Leibniz Centre for Agricultural Landscape Research (ZALF), Müncheberg (Germany), GRID: 433014.1

Ecosystem functioning in urban grasslands: the role of biodiversity, abiotic and biotic novelty 10.4228/ZALF.DK.111BerlinShowOnMapView sample dataDownload complete datasetCreative Commons Attribution 4.0
​Onandia, Gabriela; Acame Poveda, Carlos Miguel; Schittko, Conrad et al.
We evaluated the relationship between biodiversity, abiotic and biotic novelty and ecosystem functioning based on in situ measurements in non-manipulated grasslands along an urbanization gradient in Berlin. We measured plant aboveground biomass (AGB), intrinsic water-use efficiency (iWUE) and 15N enrichment factor (δ15N) as proxies for biomass production, water and N cycling, respectively. The measurements were done for the whole plant community, for plants with different introduction status, plants belonging to different functional groups and two single species: Calamagrostis epigejos and Plantago lanceolata. We found that approximately one third of the forbs  were alien to Berlin and theymade up around 13% of the whole community aboground biomass. Nonetheless, community aboveground biomass was positively correlated with plant-species richness . In contrast, iWUE and δ15N were mostly correlated to urban parameters associated to abiotic novelty.
Onandia, Gabriela; Acame Poveda, Carlos Miguel; Schittko, Conrad et al. (2019) Ecosystem functioning in urban grasslands: the role of biodiversity, abiotic and biotic novelty. Leibniz Centre for Agricultural Landscape Research (ZALF) https://www.doi.org/10.4228/ZALF.DK.111
​ContactPerson: Hiller, Anne
DataCurator: Hiller, Anne
ProjectMember: Bucholz, Sascha
Researcher: Bucholz, Sascha
DataCollector: Bucholz, Sascha
HostingInstitution: Affiliation: Leibniz Centre for Agricultural Landscape Research (ZALF), Müncheberg (Germany), GRID: 433014.1
Understanding animal movement behaviour in dynamic agricultural landscapes10.4228/ZALF.DK.125QuillowShowOnMapView sample dataDownload complete datasetCreative Commons Attribution 4.0
​Ullmann, Wiebke; Blaum, Niels; Fischer, Christina; Pirhofer-Walzl, Karin; Kramer-Schadt, Stephanie
Movement is one of the key mechanisms for animals to deal with changes within their habitats. Therefore, resource variability can impact animals’ home range formation, especially in spatially and temporally highly dynamic landscapes, such as farmland. However, the movement response to resource variability might depend on the underlying landscape structure.
We investigated whether a given landscape structure affects the level of home range size adaptation in response to resource variability. We tested whether increasing resource variability forces herbivorous mammals to increase their home ranges.
Ullmann, Wiebke; Blaum, Niels; Fischer, Christina; Pirhofer-Walzl, Karin; Kramer-Schadt, Stephanie (2019) Understanding animal movement behaviour in dynamic agricultural landscapes. Leibniz Centre for Agricultural Landscape Research (ZALF) https://www.doi.org/10.4228/ZALF.DK.125
Understanding animal movement behaviour in dynamic agricultural landscapes – Agricultural disturbances10.4228/ZALF.DK.128QuillowShowOnMapView sample dataDownload complete datasetCreative Commons Attribution 4.0

​Ullmann, Wiebke; Blaum, Niels; Fischer, Christina; Kramer-Schadt, Stephanie; Pirhofer-Walzl, Karin; Glemnitz, Michael

Agricultural landscapes cover significant areas across ecosystems worldwide. These spatially and temporally dynamic areas force wildlife to interact with agricultural machinery, and with sudden changes in resource availability during harvests and mowing events. Animals may avoid agricultural machinery and the changed habitat after management events to search for undisturbed habitat. Whether this search is successful depends on the landscape structure, which can influence the animals’ movement behaviour. Here we study how agricultural management events affect animal movement behaviour in two contrastingly structured agricultural landscapes. 
Ullmann, Wiebke; Blaum, Niels; Fischer, Christina; Kramer-Schadt, Stephanie; Pirhofer-Walzl, Karin; Glemnitz, Michael (2019) Understanding animal movement behaviour in dynamic agricultural landscapes – Agricultural disturbances. Leibniz Centre for Agricultural Landscape Research (ZALF) https://www.doi.org/10.4228/ZALF.DK.128

​HostingInstitution: Affiliation: Leibniz Centre for Agricultural Landscape Research (ZALF), Müncheberg (Germany), GRID: 433014.1
DataCollector: Ullmann, Wiebke, University of Potsdam (GRID: GRID: 11348.3f) (ORCID:0000-0002-4330-7876)
DataCollector: Blaum, Niels; University of Potsdam (GRID: GRID: 11348.3f) (ORCID:0000-0001-6807-5162)
DataCollector: Fischer, Christina; University of Potsdam (GRID: GRID: 11348.3f) (ORCID: 0000-0001-6807-5162)
DataCollector: Pirhofer-Walzl, Karin; ZALF, Müncheberg (Germany) (GRID: 433014.1) (ORCID: 0000-0003-2185-4016)
Editor: Blaum, Niels; University of Potsdam (GRID: GRID: 11348.3f) (ORCID:0000-0001-6807-5162)
Editor: Fischer, Christina; University of Potsdam (GRID: GRID: 11348.3f) (ORCID: 0000-0001-6807-5162)
Editor: Pirhofer-Walzl, Karin; ZALF, Müncheberg (Germany)(GRID: 433014.1) (ORCID: 0000-0003-2185-4016)
Editor: Kramer-Schadt, Stephanie; Leibniz Institute for Zoo and Wildlife Research, GRID: 418779.4 (ORCID: 0000-0002-9269-4446)
Editor: Glemnitz, Michael; ZALF, Müncheberg (Germany)(GRID: 433014.1)(ORCID:0000-0002-6506-1889)

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