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416 results for “farmland”
Data from: Climate-warming alters the structure of farmland tri-trophic ecological networks and reduces crop yield
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Data from: Supporting local diversity of habitats and species on farmland: a comparison of three wildlife-friendly schemes
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Habitat use and foraging parameters of breeding Skylarks indicate no seasonal decrease in food availability in heterogeneous farmland
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Data from: Targeted agri-environment schemes significantly improve the population size of common farmland bumblebee species
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Data from: A critical analysis of the potential for EU Common Agricultural Policy measures to support wild pollinators on farmland
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Temperature drives inter-annual variation in badger (Meles meles) predation of lapwing (Vanellus vanellus) on Scottish hill-edge farmland
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Data from: How much would it cost to monitor farmland biodiversity in Europe?
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Data from: Using beta diversity to inform agricultural policies and conservation actions on Mediterranean farmland
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Data from: Quantifying the links between land use and population growth rate in a declining farmland bird
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Taxonomic and functional homogenization of farmland birds along an urbanization gradient in a tropical megacity
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The potential of fallow management to promote steppe bird conservation within the next EU Common Agricultural Policy reform: Distance sampling dataset on farmland bird community
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Do human infrastructures shape nest distribution in the landscape depending on individual personality in a farmland bird of prey?
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A geotagged image dataset with compass directions for studying the drivers of farmland abandonment
<p>In this work, we present a dataset containing a collection of pictures taken during the fieldwork of a farmland abandonment study. Data was taken in 2010 with a compact camera which incorporates GPS and a digital compass sensor. The photographs are taken as a part of a GIS database. Using their Exif metadata we created a layer of Geographic Fields Of View (GeoFOVs) that can be used to perform very specific spatial queries. The dataset contains 2,235 pictures and GIS layers of GeoFOVs contextualizing the agricultural plots being photographed.</p>
Data from: A national-scale model of linear features improves predictions of farmland biodiversity
1. Modelling species distribution and abundance is important for many conservation applications, but it is typically performed using relatively coarse-scale environmental variables such as the area of broad land-cover types. Fine-scale environmental data capturing the most biologically-relevant variables have the potential to improve these models. For example, field studies have demonstrated the importance of linear features, such as hedgerows, for multiple taxa, but the absence of large-scale datasets of their extent prevents their inclusion in large-scale modelling studies. 2. We assessed whether a novel spatial dataset mapping linear and woody linear features across the UK improves the performance of abundance models of 18 bird and 24 butterfly species across 3723 and 1547 UK monitoring sites respectively. 3. Although improvements in explanatory power were small, the inclusion of linear features data significantly improved model predictive performance for many species. For some species, the importance of linear features depended on landscape context, with greater importance in agricultural areas. 4. Synthesis and applications. This study demonstrates that a national-scale model of the extent and distribution of linear features improves predictions of farmland biodiversity. The ability to model spatial variability in the role of linear features will be important in targeting agri-environment schemes to maximally deliver biodiversity benefits. Although this study focuses on farmland, data on the extent of different linear features are likely to improve species distribution and abundance models in a wide range of systems, and also can potentially be used to assess habitat connectivity. 10-Mar-2017
Data from: Biotransformation of chlorothalonil by strain Stenotrophomonas acidaminiphila BJ1 isolated from farmland soil
The chlorothalonil is a widely used fungicide while the contamination of soil and water environments by this chemical causes potential threats to the biodiversity. Given the metabolic potential of soil microorganisms, there is a need for developing microbiological approaches to degrade persistent compounds, such as chlorothalonil, in the contaminated sites. Here in this study, we isolated a bacterial strain (namely, BJ1) capable of degrading chlorothalonil from a chlorothalonil-contaminated farmland soil in the Shandong Province, China. Using 16S rDNA gene sequencing, morphological and biological characteristics, we identified the strain BJ1 as Stenotrophomonas acidaminiphila. The strain BJ1 utilizes chlorothalonil as a sole carbon source. At initial concentrations of 50, 100, 200, 300 mg l-1, it degraded 91.5%, 89.4%, 86.5 and 83.5% of chlorothalonil after 96 h of inoculation under optimum conditions (30 °C and pH 7.0), respectively. Two metabolites, methyl-2, 5, 6-trichloro-3-cyano-4-methoxy-benzoate and methyl-3- cyano-2, 4, 5, 6-tetrachlorobenzoate, were detected and identified based on HPLC-MS analysis, which suggests that the strain BJ1 metabolized chlorothalonil through the hydroxylation of chloro-group and hydration of cyano-group. The results of this study highlight the great potential for this bacterium to be used in chlorothalonil pollution remediation.
Data from: The carry-over effects of pollen shortage decrease the survival of honeybee colonies in farmlands
Many studies have reported honeybee colony losses in human-dominated landscapes. While bee floral food resources have been drastically reduced over past decades in human-dominated landscapes, no field study has yet been undertaken to determine whether there is a carry-over effect between seasonal disruption in floral resource availability and high colony losses. We investigated if a decline in the harvest of pollen by honeybees in spring affected managed honeybee colony dynamics (brood size, adult population and honey reserves) and health (Varroa mite loads and colony survival) throughout the beekeeping season. A decline in pollen harvest was associated with a direct reduction in brood production, leading to a negative effect on the adult population size later in the season, and lower honey reserves before the onset of winter. Furthermore, the decline in pollen harvest negatively impacted the health of the colony, resulting in higher Varroa mite loads and higher seasonal and winter colony losses. Early-warning signs of these carry-over effects were identified, showing that preferential investment in honey reserves instead of brood production early in the season increased the decline in pollen harvest and its associated carry-over effects. Synthesis and applications. The results suggest that the decline in pollen harvest may have been overlooked as a cause of pollen shortage and associated bee colony losses. Strategies to avoid such losses in intensive farmland systems include (i) limiting or avoiding honey harvests in spring, (ii) monitoring colonies for early-warning signals of colony failure and (iii) increasing the amount of floral resources available through wise land-use management.
Data from: Landscape complexity promotes hoverflies across different types of semi-natural habitats in farmland
1. Semi-natural habitats (SNH) provide essential resources for many organisms in agricultural landscapes and can increase biodiversity at the local and landscape scale. For the management of ecosystem services, it is crucial to understand how local characteristics of SNH and the surrounding landscape complexity affect beneficial species. 2. We investigated this for hoverflies (Diptera: Syrphidae), an important functional group providing both pest control and pollination services, in a total of 138 SNH in 35 agricultural landscapes in Switzerland and Germany. SNH differed in type (woody, herbaceous), shape (areal, linear) and availability of food resources (floral resources and aphids). They were located along a gradient of landscape complexity (1-75 % SNH in a 1 km radius). 3. In total 9,030 hoverflies belonging to 89 species were collected. In both countries, hoverfly community composition was mainly driven by SNH type and SNH shape, and in Switzerland additionally by landscape complexity. Species richness of hoverflies increased with increasing amounts of SNH at the landscape scale. However, the ubiquitous and dominant aphidophagous species Episyrphus balteatus was indifferent to landscape composition. 4. Species richness of total and aphidophagous hoverflies was higher in woody than herbaceous SNH. Hoverfly species richness was similar in linear and areal SNH, but non-aphidophagous hoverflies were more vulnerable to landscape simplification in linear than areal SNH. Effects of the SNH type partly differed between the two countries: In Germany, the dominant aphidophagous species E. balteatus preferred woody over herbaceous SNH, while no such difference was found in Switzerland. 5. Surprisingly, local richness and abundance of floral resources were poor predictors for hoverfly abundance, richness or community composition. 6. Synthesis and applications: Large-scale conservation and restoration of complex agricultural landscapes with a high proportion of different SNH types is key for the conservation of hoverfly diversity, and thus likely promote pest control and pollination services provided by them. Local improvement of SNH to promote hoverflies has to consider regional differences in habitat characteristics.07-Dec-2017
Figure 1 in The role of artificial ponds in maintaining dragonfly populations in an intensified farmland landscape. A case of study in Zamora, Spain
Figure 1. Location of sampling sites in the study area.
Data from: Active farmsteads are year-round strongholds for farmland birds
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Data from: The carry-over effects of pollen shortage decrease the survival of honeybee colonies in farmlands
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.