Other language confidence: 0.816445826798085
Data includes the measured environmental concentrations (MEC) of the summer copper (Cu) concentration in the German Bight from 1986 to 2021 (MUDAB database, https://geoportal.bafg.de/MUDABAnwendung/), including sampling points coordinates, year of sampling and Cu concentration. Additionally the Hazard quotient (HQ) is provided by dividing the MEC with the predicted no effect concentration (PNEC), defined as EC10 estimates from Crassostrea gigas embryos exposed for 48 h at 18°C and LC10 estimates from C. gigas larvae exposed for 24 h at 24°C, divided by an assessment factor (AF) of 5.
Partly taken from the materials and methods of https://doi.org/10.1016/j.baae.2022.12.003: To compare the activity densities of ground-dwelling predators between treatments with and without RAPs, spiders were sampled using pitfall traps, which were set up after each round of aphid counting (one per plot, twice per year; Brown & Matthews, 2016). The traps (with a volume of 400 ml and a width of 90 mm) were filled with a mixture of water and ethylene glycol (1:1; 120 ml) and dug at ground level into the middle of each plot. The traps were covered with a plastic roof and a metal grid (15 × 15 mm grid size) to avoid overflowing during rain and accidental rodent catches (Császár et al., 2018). The traps were activated for 7 days. Subsequently, all arthropods were transferred into 70% ethanol. Spiders were identified to species according to Nentwig et al. (2019). Spider hunting strategy (active hunter or web-builder) was used as the feeding trait according to Cardoso et al. (2011).
Taken from materials and methods of https://doi.org/10.1016/j.baae.2022.12.003: Aphids were counted on 50 randomly selected shoots in two crop rows (100 shoots in total) per plot and sampling round. To reduce edge effects, rows with less than 20 cm to the edge were excluded. Counting took place twice a year, that is, once during crop flowering (BBCH 61; beginning of aphid population growth) and once during crop milk ripening stage (BBCH 75).
Taken from the methods of https://doi.org/10.1016/j.agee.2020.107237: The effect of rare arable plants on soil nutrient concentration was measured by taking soil samples in the 1st and 2nd study year (March 2018 and August 2019). One soil sample per plot was taken to a 20 cm depth and analyzed by the AGROLAB Group (Landshut, Germany) for soil organic matter [%] and nitrogen concentration [%] (DIN EN 15936; 2012 and DIN EN 16168; 2012-11).
Partly taken from the materials and methods of https://doi.org/10.1016/j.baae.2022.12.003: To compare the activity densities of ground-dwelling predators between treatments with and without RAPs, carabids were sampled using pitfall traps, which were set up after each round of aphid counting (one per plot, twice per year; Brown & Matthews, 2016). The traps (with a volume of 400 ml and a width of 90 mm) were filled with a mixture of water and ethylene glycol (1:1; 120 ml) and dug at ground level into the middle of each plot. The traps were covered with a plastic roof and a metal grid (15 × 15 mm grid size) to avoid overflowing during rain and accidental rodent catches (Császár et al., 2018). The traps were activated for 7 days. Subsequently, all arthropods were transferred into 70% ethanol. Carabids were identified to species according to Hůrka (1996). Carabid feeding behavior was classified according to Homburg et al. (2014). To simplify the dataset, carabid feeding behavior was classified as predominantly granivorous (species mainly feed on seeds and fruits) or as carnivorous/omnivorous, because carnivorous and omnivorous species are potentially feeding on aphids and other non-plant material.
Taken from the methods of https://doi.org/10.1016/j.agee.2020.107237: Vegetation surveys were performed once in July for both study years. Plant species were classified and each species' percent cover for both the arable plant community and the crop were visually estimated per plot. Species were divided into rare arable plants, other spontaneously occurring arable plants, the sown crop species, and volunteer crops that re-emerged after cultivation in previous years. To measure the productivity of our plots, both the crop biomass and arable plant biomass (rare arable plants + volunteer crops + spontaneous arable plants) were collected in July and August in both study years. For the arable plant biomass, three 0.5 m × 0.5 m sampling quadrats were randomly placed in the plot, harvested, and dried at 65 °C for 48 h. Crop biomass was measured after cutting, drying, and weighing three randomly selected crop rows per plot. To minimize edge effects, the outmost crop rows were excluded from the sampling. Arable plants and crop biomasses were projected as g m ⁻².
Leaf damage data on European beech leaves from saplings and mature trees from Lower Saxony, Germany. Three forest stand types were studied (European beech/Douglas fir mixture, European beech monoculture, and European beech/Norway spruce mixture) at six different sites, three in southern (site 1-3) and three (4-6) in northern Lower Saxony, Germany. At each plot 20 leaves from 20 saplings and 80 leaves from 5 mature trees were sampled in August 2019. After sampling the dorsal side of leaves was scanned and the amount of damage was estimated with an image processing software called ImageJ. Damage is distinguished into total, pathogen and herbivory damage which is further distinguished into chewing, sucking, mining, skeletonizing and gall damage.
Coastal ecosystems are subjected to both large natural variability and increasing anthropogenic impact on environmental parameters such as changes in salinity, temperature, and pH. This study documents the distribution of living benthic foraminifera under the influence of multiple environmental stressors in the Skagerrak-Baltic Sea region. Sediment core tops were studied at five sites along a transect from the Skagerrak to the Baltic Sea, with strong environmental gradients, especially in terms of salinity, pH, calcium carbonate saturation and dissolved oxygen concentration in the bottom water and pore water. We found that living foraminiferal densities and species richness were higher at the Skagerrak station, where the general living conditions were relatively beneficial for Foraminifera, with higher salinity and Ωcalc in the water column and higher pH and oxygen concentration in the bottom and pore water. The most common species reported at each station reflect the differences in the environmental conditions between the stations. The dominant species were Cassidulina laevigata and Hyalinea balthica in the Skagerrak, Stainforthia fusiformis, Nonionella aff. stella and Nonionoides turgida in the Kattegat and N. aff. stella and Nonionellina labradorica in the Öresund. The most adverse conditions, such as low salinity, low Ωcalc, low dissolved oxygen concentrations and low pH, were noted at the Baltic Sea stations, where the calcareous tests of the dominant living taxa Ammonia spp. and Elphidium spp. were partially to completely dissolved, probably due to a combination of different stressors affecting the required energy for biomineralization. Even though Foraminifera are able to live in extremely varying environmental conditions, the present results suggest that the benthic coastal ecosystems in the studied region, which are apparently affected by an increase in the range of environmental variability, will probably be even more influenced by a future increase in anthropogenic impacts, including coastal ocean acidification and deoxygenation.
This dataset summarizes allometric measurements on zooplankton and nekton species performed in the framework of the Dutch and German ICEFLUX projects. Measurements were performed on 639 individuals of 15 species from the Southern Ocean and 2374 individuals of 14 species from the Arctic Ocean, including euphausiids, fish, pelagic and ice-associated amphipods, cnidarians, salps, siphonophores, chaetognaths and a copepod. Animals were collected during three expeditions in the Southern Ocean (winter and summer) and three expeditions in the Arctic Ocean (spring and summer). In addition to measurements on length and mass, the sizes of body parts were measured, such as carapaces, eyes, heads, telsons, tails and otoliths.
The considered data set contains measurements of 4 automatic weather stations from 1997 until 2018 installed by Helmholtz Centre for Environmental Research - UFZ GmbH. Here, the main station corresponded to typical sensor technology and equipment of the German Meteorological Service [Deutscher Wetterdienst, DWD]. These data were quality-checked and processed as daily values. As far as possible, erroneous values were replaced by means of other stations on site. Very short failures could be supplemented by interpolation or averaging. Hence, values of measured variable can originate from different stations. However, only one value for each measured variable is provided for every day within the table. A unique label for individual weather stations is used to identify the exact origin of data.
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