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Number of available datasets: 132
Weather Data 2018, Müncheberg, Germany10.4228/ZALF.DK.105MünchebergShowOnMapView Sample DataDownload Complete DatasetCreative Commons BY 4.0

Sowa, Dieter

The automatic weather station Müncheberg was installed in 1991 by the Leibniz Centre for Agricultural Landscape Research (ZALF) e.V. and is managed by the Research Platform "Models & Simulation". The station is located within the municipality Müncheberg, district Märkisch-Oderland, state Brandenburg, Germany. Altitude in meter: 62 NN, Geographic latitude: 52,517681 N, Geographic longitude: 14,123200 E,Type: FMA 86. In 2001, the station was replaced by a new system of the same type. In 2018, data have been collected for: soil temperature in 20cm depth (°C); soil temperature in 5cm depth (°C); soil temperature in 50cm depth (°C); soil temperature in 10cm depth (°C); soil temperature in 100cm depth (°C); global radiation (J/cm²); relative humidity (%); air temperature, 2m above ground (°C); precipitation (mm); wind velocity (m/s); evaporation (mm)
Sowa, Dieter (2019): Weather Data 2018, Müncheberg, Germany, Leibniz-Zentrum für Agrarlandschaftsforschung (ZALF) e.V. https://www.doi.org/10.4228/ZALF.DK.105

​HostingInstitution: Leibniz Centre for Agricultural Landscape Research (ZALF), Müncheberg (Germany)
DataCollector: Research Platform "Models & Simulation", Leibniz Centre for Agricultural Landscape Research (ZALF)

Continues: 10.4228/ZALF.DK.104

 

Weather Data 2017, Müncheberg, Germany10.4228/ZALF.DK.104MünchebergShowOnMapView Sample DataDownload Complete DatasetCreative Commons BY 4.0

Sowa, Dieter

The automatic weather station Müncheberg was installed in 1991 by the Leibniz Centre for Agricultural Landscape Research (ZALF) e.V. and is managed by the Institute of Landscape System Analysis. The station is located within the municipality Müncheberg, district Märkisch-Oderland, state Brandenburg, Germany. Altitude in meter: 62 NN, Geographic latitude: 52,517681 N, Geographic longitude: 14,123200 E,Type: FMA 86. In 2001, the station was replaced by a new system of the same type. In 2017, data have been collected for: soil temperatur in 20cm depth (°C); soil temperatur in 5cm depth (°C); soil temperatur in 50cm depth (°C); soil temperatur in 10cm depth (°C); soil temperatur in 100cm depth (°C); global radiation (J/cm²); relative humidity (%); air temperature, 2m above ground (°C); precipitation (mm); wind velocity (m/s); evaporation (mm)
Sowa, Dieter (2019): Weather Data 2017, Muencheberg, Germany, Leibniz-Zentrum für Agrarlandschaftsforschung (ZALF) e.V. https://www.doi.org/10.4228/ZALF.DK_104

​HostingInstitution: Leibniz Centre for Agricultural Landscape Research (ZALF), Müncheberg (Germany)
DataCollector: Institute of Landscape Systems Analysis (LSA), Leibniz Centre for Agricultural Landscape Research (ZALF)

Continues: 10.4228/ZALF.2016.331

 

Plant community for biodiversity assessment in different types of kettle holes10.4228/ZALF.DK.102QuillowShowOnMapView sample dataDownload complete datasetCreative Commons Attribution 4.0

​Lozada Gobilard, Sissi D., Joshi, Jasmin

Record of presence or absence of all plant species occurring in the amphibian (between open water body and agricultural matrix) and terrestrial zone of the kettle hole.
Identification of the species were done in the field (mostly) according to Rothmaler (2011).
Soil samples collected from a total of 20 kettle holes using a clean soil corer.
Greenhouse experiments under controlled conditions of watering and temperature in a block design using two treatments: wet and flood.
Lozada Gobilard, Sissi D., Joshi, Jasmin (2019) Plant community for biodiversity assessment in different types of kettle holes. https://www.doi.org/10.4228/ZALF.DK.102

​ContactPerson: Sissi Donna Lozada Gobilard (ORCID: 0000-0002-1177-4015)
DataCollector: Stange, Susanne
DataCollector: Okong’o, Rachael
DataCurator: Stange, Susanne
DataCurator: Kurtz, Christine
DataCurator: Jeltsch, Thilo
DataManager: Stange, Susanne
ProjectLeader: Joshi, Jasmin
ProjectLeader: Schröder, Boris
ProjectLeader: Eccard, Jana
ProjectManager: Lozada Gobilard, Sissi Donna
ProjectMember: Lozada Gobilard, Sissi Donna
ProjectMember: Stange, Susanne
ProjectMember: Pirhofer-Walzl, Karin
ProjectMember: Kalettka, Thomas
ProjectMember: Heinken, Thilo
ProjectMember: Schröder, Boris
ProjectMember: Eccard, Jana
ProjectMember: Joshi, Jasmin
Researcher: Lozada Gobilard, Sissi Donna
Researcher: Pirhofer-Walzl, Karin
Researcher: Kalettka, Thomas
Researcher: Heinken, Thilo
Supervisor: Jasmin Joshi

Field trial data set of a six-field crop rotation for the validation of agro-ecosystem models from the Experimental Station Hohenfinow, Germany10.4228/ZALF.DK.99HohenfinowShowOnMapView sample dataDownload complete datasetCreative Commons Attribution 4.0

​Mirschel, Wilfried; Lutze, Gerd; Schultz, Alfred; Luzi, Karin

For the experimental site Hohenfinow (52.8115 N, 13.9266 E, altitude: 55 m), Germany, a data set of a six-field crop rotation (silage maize, winter rye, winter oilseed rape, winter barley, winter wheat, potatoes) with a field size of about 0.9 ha each is described in detail for the years 1992-1997. The Leibniz-Centre for Agricultural Landscape Research Müncheberg was responsible for carrying out the experiment and collecting all the data. The aim of the experiment was to investigate the dynamics and balances of the water and matter cycles on a deluvial site (soil type: Sandtieflehmfahlerde-Braunerde according KA5 (Albic Luvisol according WRB); site type: D3a; dry bulk density (g cm-3): 1. 48 (0-30 cm), 1.50 (30-60 cm), 1.51 (60-90 cm); field capacity (Vol%): 39.5 (0-30 cm), 39.3 (30-60 cm), 39.2 (60-90 cm); soil quality index: 36) in North-East Germany as a basis for the validation of agro-ecosystem models. Due to the location of the experimental station in the moraine landscape and the glacier history of its formation, the deposition with large stones is relatively high.
Mirschel, Wilfried; Lutze, Gerd; Schultz, Alfred; Luzi, Karin (2019) Field trial data set of a six-field crop rotation for the validation of agro-ecosystem models from the Experimental Station Hohenfinow, Germany https://www.doi.org/10.4228/ZALF.DK.99
Solving the puzzle of yeast survival in ephemeral nectar systems: exponential growth is not enough10.4228/ZALF.DK.93QuillowShowOnMapView sample dataDownload complete datasetCreative Commons Attribution 4.0

​Hausmann, Sebastian Lars; Rillig, Mathias

We here examine how sufficiently high cell densities of nectar yeast can develop in a flower. In laboratory experiments, we determined the remaining fraction of nectar yeast cells after nectar removal, and used honeybees to determine the number of transmitted yeast cells from one flower to the next. The results of these experiments directly fed into a simulation model providing an insight into movement and colonization ecology of nectar yeasts.
Hausmann, Sebastian Lars; Rillig, Mathias (2019) Solving the puzzle of yeast survival in ephemeral nectar systems: exponential growth is not enough; https://www.doi.org/10.4228/ZALF.DK.93
Rotifers negative phototaxis under UVA stress10.4228/ZALF.DK.92QuillowShowOnMapView sample dataDownload complete datasetCreative Commons Attribution 4.0
Colangeli, Pierluigi; Weithoff, Guntram; Schlaegel, Ulrike; Obertegger, Ulrike; Petermann, Jana; Tiedemann, Ralph
Methods: Morphological and movement data obtained from video recordings. The output parameters are generated and automatically labelled by ImageJ. Please, refer to the following page for further details: https://imagej.nih.gov/ij/docs/guide/146-30.html#sub:Set-Measurements...
Colangeli, Pierluigi et al. (2019) Rotifers negative phototaxis under UVA stress, Leibniz Centre for Agricultural Landscape Research (ZALF) https://www.doi.org/10.4228/ZALF.DK.92
Winter wheat yield discrepancies at different natural landscape elements10.4228/ZALF.DK.100GermanyShowOnMapView sample dataDownload complete datasetCreative Commons Attribution 4.0

Raatz, Larissa

We hypothesized that (i) NLE types differ in their impact on crop production and that (ii) this effect changes with proximity of the NLE to the examined agricultural field. We assessed winter wheat yields along transects with log-scaled distances from the field border into the agricultural field in two intensively managed agricultural landscapes in Germany (2014 near Göttingen, and 2015 - 2017 in the Uckermark). Transects either originated from a natural landscape element (forest, hedgerow, kettle hole) or a control (field-to-field border or agricultural road).
Raatz, Larissa (2019) How much do we really lose? - Yield losses in the proximity of natural landscape elements in agricultural landscapes. https://www.doi.org/10.4228/ZALF.DK.100
A daily time-step observed and scenario climate dataset on a European grid for crop modelling applications (version 2)10.4228/ZALF.DK.94EuropeShowOnMapView sample dataCreative Commons Attribution 4.0

​Fronzek, Stefan; Webber, Heidi; Rötter, Reimund; Ruane, Alex; Ewert, Frank;

The data set contains daily time-step observed and scenario climate data on a European grid with 25 km x 25 km spatial resolution and is intended to be used for crop modelling applications. The dataset covers the period 1980-2010 for observations (for a baseline period of 1981-2010 and the year 1980 for crop model simulations with sowing dates in the autumn) and the periods 2040-2069 and 2070-2099 for 5 GCMs x 2 forcing scenarios (RCP4.5 and RCP8.5) and 2 GCMs with RCP2.6. The Joint Research Centre’s (JRC) Agri4Cast gridded dataset was used for the baseline. The scenarios have been calculated using an enhanced delta change method that applies changes in aspects of temperature and precipitation variability in addition to changes in mean climate.
Fronzek, Stefan; Webber, Heidi; Rötter, Reimund; Ruane, Alex; Ewert, Frank (2018); A daily time-step observed and scenario climate dataset on a European grid for crop modelling applications Version 2
Manual leaf area measurement on individual sugar beet plants taking plant density and irrigation into account10.4228/ZALF.DK.91MünchebergShowOnMapView sample dataDownload complete datasetCreative Commons Attribution 4.0

​Mirschel, Wilfried

For sugar beet growth models, knowledge of the development of the photosynthetically active leaf apparatus with its up to more than 50 individual leaves per beet plant as a source of assimilate production is very important. Because the measurement using leaf area index (LAI) meters from above allows only a limited measurement and does not cover the total leaf area of all existing individual leaves, it is necessary to carry out manually leaf area measurements for individual sugar beet plants over the whole growth period without destroying the leaves. For this reason, a special measuring methodology was developed and applied. On the experimental fields of the Research Centre for Soil Fertility Müncheberg (FZB Müncheberg) (location: 52°01`N, 14°07`E, 14°07`Eastern latitude; location type: D 2a; soil type: sandy-loamy soil; German soil quality index: 26; average (1951-1981) annual precipitation: 544 mm; average (1951-1981) annual temperature: 8.2°C) leaf area measurements were carried out in different experiments with sugar beets between 1979 and 1982. In each experimental variant, the leaf areas of 8 individual plants were measured between emergence and harvesting of the sugar beet at intervals of approximately 7 days. Between end of May and mid-October usually about 20 measurements were realized. The leaf area is given in cm2 per sugar beet plant. Experiments with different crop densities (60,000, 80,000 and 100,000 sugar beet plants per hectare) as well as without and with irrigation (based on pen evaporation or based on model-added irrigation scheduling system EDV-BB) were taken into account.
Mirschel, W. et al. (2018) Manual leaf area measurement on individual sugar beet plants taking plant density and irrigation into account, Leibniz Centre for Agricultural Landscape Research (ZALF) e.V.[doi: 10.4228/ZALF.DK.91]
Data and Script for the modelling approach of the manuscript: "What makes the Asian bush mosquito (Aedes japonicus japonicus) feel comfortable in central Europe? A fuzzy model approach"10.4228/ZALF.DK.90GermanyShowOnMapView sample dataDownload complete datasetCreative Commons Attribution 4.0

​Kerkow, Antje; Wieland Ralf

The global trade of goods (car tires and ornamental plants in particular) has facilitated the accidental transport of eggs, pupae and larvae of the Asian bush mosquito (Aedes japonicus japonicus) to North America and Europe. On both continents, the species has spread over wide areas and became established in several geographical regions. Since it is a potential vector of pathogens of humans and livestock, distribution and dissemination maps are urgently needed to implement targeted surveillance and control in case of disease outbreaks. Previous distribution models for Europe were relatively inaccurate because land-use effects remained unconsidered. Our approach is based on the fuzzy modelling technique combined with biological expertise that enabled to precisely define the interactions between the three most relevant factors determining the occurrence of this mosquito species: climate, wind and land-use. The model combines different spatial resolutions of data for Germany and achieves a much higher degree of accuracy than previous distribution models. Our results reveal that a well-suited landscape structure can even facilitate the occurrence of Aedes j. japonicus in a climatically unsuitable region. Vice versa, unsuitable land-use types such as agricultural landscapes and agroforests reduce the occurrence probability in climatically suitable regions. Our study demonstrates the importance of regional influences on propagation models for invasive mosquito species, in addition to global processes such as international trade and climate change.
Kerkow, Antje; Wieland Ralf (2018) Data and script for the modelling approach of the manuscript: "What makes the Asian bush mosquito (Aedes japonicus japonicus) feel comfortable in central Europe? A fuzzy model approach" [doi: 10.4228/ZALF.DK.90]

​RelatedPerson: Walther, Doreen

​IsReferencedBy:

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