Eleven years’ data of grassland management in Germany
| Autor: | Niclas Otto, Steffen Both, Miriam Teuscher, Valentin H. Klaus, Cornelia Fürstenau, Martin M. Gossner, Markus Fischer, Iris Steitz, Nadja K. Simons, Jan R. Thiele, Sonja Gockel, Daniel Prati, Nico Blüthgen, Johannes Heinze, Juliane Vogt, Swen C. Renner, Till Kleinebecker, Andreas Hemp, Sebastian Seibold, Wolfgang W. Weisser, Manfred Ayasse, Konstans Wells, Nobert Hölzel, Kirsten Jung, Kerstin R. Wiesner, Ralf Lauterbach, Andreas Ostrowski, Sandra Weithmann, Katrin Lorenzen, Uta Schumacher |
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| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
0106 biological sciences
Agriculture and Forestry 010504 meteorology & atmospheric sciences Grassland management survey gra 010603 evolutionary biology 01 natural sciences Grassland nitrogen fertilisation temporal variation Grazing Fertilisation Mowing Livestock units Biodiversity-Exploratories Questionnaire Farming practice Grassland maintenance Nitrogen Temporal variation Intensification of grassland use Ecology & Environmental sciences grazing lcsh:QH301-705.5 Hectare mowing Ecology Evolution Behavior and Systematics 0105 earth and related environmental sciences grassland maintenance geography geography.geographical_feature_category livestock units farming practice Ecology Land use business.industry questionnaire intensification of grassland use Forestry Data Paper (Biosciences) Europe lcsh:Biology (General) Agriculture Organic farming Environmental science Livestock Arable land business |
| Zdroj: | Biodiversity Data Journal Biodiversity Data Journal 7: e36387 Biodiversity Data Journal, Vol 7, Iss, Pp 1-38 (2019) Biodiversity Data Journal, 7 |
| ISSN: | 1314-2828 |
| Popis: | Background The 150 grassland plots were located in three study regions in Germany, 50 in each region. The dataset describes the yearly grassland management for each grassland plot using 116 variables. General information includes plot identifier, study region and survey year. Additionally, grassland plot characteristics describe the presence and starting year of drainage and whether arable farming had taken place 25 years before our assessment, i.e. between 1981 and 2006. In each year, the size of the management unit is given which, in some cases, changed slightly across years. Mowing, grazing and fertilisation were systematically surveyed: Mowing is characterised by mowing frequency (i.e. number of cuts per year), dates of cutting and different technical variables, such as type of machine used or usage of conditioner. For grazing, the livestock species and age (e.g. cattle, horse, sheep), the number of animals, stocking density per hectare and total duration of grazing were recorded. As a derived variable, the mean grazing intensity was then calculated by multiplying the livestock units with the duration of grazing per hectare [LSU days/ha]. Different grazing periods during a year, partly involving different herds, were summed up to an annual grazing intensity for each grassland. For fertilisation, information on the type and amount of different types of fertilisers was recorded separately for mineral and organic fertilisers, such as solid farmland manure, slurry and mash from a bioethanol factory. Our fertilisation measures neglect dung dropped by livestock during grazing. For each type of fertiliser, we calculated its total nitrogen content, derived from chemical analyses by the producer or agricultural guidelines (Table 3). All three management types, mowing, fertilisation and grazing, were used to calculate a combined land use intensity index (LUI) which is frequently used to define a measure for the land use intensity. Here, fertilisation is expressed as total nitrogen per hectare [kg N/ha], but does not consider potassium and phosphorus. Information on additional management practices in grasslands was also recorded including levelling, to tear-up matted grass covers, rolling, to remove surface irregularities, seed addition, to close gaps in the sward. Biodiversity Data Journal, 7 |
| Databáze: | OpenAIRE |
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