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95 results for “vegetation type”
Data from: New regionally modelled soil layers improve prediction of vegetation type relative to that based on global soil models
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Data from: Identifying critical vegetation types for biodiversity conservation in the Americas
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Trade-off between vegetation type, soil erosion control and surface water in global semi-arid regions: A meta-analysis
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Effects of habitat types on the dynamic changes of allocation in carbon and nitrogen storage of vegetation-soil system in sandy grasslands
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Data from: Coordinated responses of soil communities to elevation in three subarctic vegetation types
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Data from: Lake and catchment-scale determinants of aquatic vegetation across almost 1000 lakes and the contrasts between lake types
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Data from: Distribution modelling of vegetation types based on area‐frame survey data
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Substrate quality drives fungal necromass decay and decomposer community structure under contrasting vegetation types
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Data from: Structural complexity and large-sized trees explain shifting species richness and carbon relationship across vegetation types
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Fixed or mixed? variation in tree functional types and vegetation structure in a forest-savanna ecotone in West Africa
<p></p><p>We analysed thirty-five 400-m<sup>2</sup> plots encompassing forest, savanna and intermediate vegetation types in an ecotonal area in Ghana, West Africa. Across all plots, fire frequency was over a period of 15 years relatively uniform (once in 2–4 years). Although woodlands were dominated by species typically associated with savanna-type formations, and with forest formations dominated by species usually associated with closed canopies, these associations were non-obligatory and with a discrete non-specialized species grouping also identified. Across all plots, crown area index, stem basal area and above-ground biomass were positively associated with higher soil exchangeable potassium and silt contents: this supporting recent suggestions of interplays between potassium and soil water storage potential as a significant influence on tropical vegetation structure. We also found an average NDVI cover increase of ~0.15% year<sup>−1</sup> (1984–2011) with plots dominated by non-specialized species increasing more than those dominated by either forest- or savanna-affiliated species. Our results challenge the traditional view of a simple forest vs. savanna dichotomy controlled by fire, and with our newly identified third non-specialized species grouping also potentially important in understanding ecotonal responses to climate change.</p><p></p>
Dataset from: Reed bed vegetation structure and plant species diversity depend on management type and the time period since last management by Andersen et al. 2020 Applied Vegetation Science
<p>The dataset behind the paper Reed bed vegetation structure and plant species diversity depend on management type and the time period since last management by Andersen et al. 2020, Applied Vegetation Science, <a href="https://doi.org/10.1111/avsc.12531">https://doi.org/10.1111/avsc.12531</a></p> <p>The data contains information on the vegetation of four reed bed treatments all located within De Østlige Vejler, Denmark:</p> <p>- A 0-year-old harvested reed bed</p> <p>- A 0-year-old cut reed bed (reed stems left behind)</p> <p>- A 3-year-old harvested reed bed</p> <p>- A 25-year-old harvested reed bed</p>
Data from: Geographic Object-Based Image Analysis Framework for Mapping Vegetation Physiognomic Types at Fine Scales in Neotropical Savannas
<p>Spatially-explicit information featuring a wide range of detailed vegetation structural types are necessary to support conservation and ecological analyses. A systematic approach that accurately maps such detailed categories at regional scales is currently lacking for neotropical savannas. We developed a systematic Geographic Object-Based Image Analysis (GEOBIA) framework that accounts for spectral and spatial properties to map Cerrado vegetation structural types at 5-m resolution. This framework counts with a two-step mapping approach: (1) image segmentation and a Random Forest land cover classification based on spectral information (Level 1 classification), followed by (2) a GEOBIA knowledge-based classification that follows contextual and topological spatial rules developed in a systematic manner for mapping Cerrado ecological classes (Level 2 classification).</p><p>The framework was tested for two large study sites covering most major Cerrado physiognomic types: a control site in central Brazil (Taquara watershed site, located in Brasilia, Federal District, and embraces the IBGE Ecological Reserve) and another larger site that is located in an agricultural landscape in the western portion of Bahia State (encompasses parts of the municipalities of: Sao Desiderio, Luis Eduardo Magalhaes, Barreiras, and Riachao das Neves), which brings additional mapping challenges related to intra-class spectral similarity. </p><p>Results demonstrate that our GEOBIA approach is effective for mapping 13 land cover classes with 87.6% overall accuracy, of which all 11 major vegetation classes were identified. For additional details, please check the associated publication with these datasets (Ribeiro et al. 2020).</p><p>The datasets developed in this study are available in shapefile format with attributed metadata following ISO 19115 standards: </p><ul><li><strong>wba_lcmap_geobiaL2_2011lucmask:</strong> final land cover map (Level 2 -- physiognomic types) for a section of the western bahia region in the Cerrado. This product uses a land use mask of 2011 derived from ancillary data</li><li><strong>wba_lcmap_geobiaL2_2013lucmask:</strong> final land cover map (Level 2 -- physiognomic types) for a section of the western bahia region in the Cerrado. This product accounts for the land use mask of 2011 as well as an updated land use mask of 2013 derived from ancillary data</li><li><strong>ibge_taquara_luc_L1_L2_2013_original:</strong> land cover maps (Levels 1 and 2) developed for the Taquara/IBGE site</li><li><strong>ibge_taquara_detailed_luc_2013:</strong> final land cover map (Level 2 -- physiognomic types) developed for the Taquara/IBGE site with additional detailed land use categories</li></ul><p> </p><p><strong>Data</strong></p><p>Mapped land cover classes: 1) cerrado woodland, 2) savanna, 3) open savanna, 4) shrubby grassland, 5) grassland (only present in the Taquara site), 6) cerrado scrub (only present in the western bahia site), 7) marsh, 8) shrub swamp, 9) palm swamp, 10) riparian forest, 11) semi-deciduous forest, 12) seasonally dry tropical forest (only present in the western bahia site), 13) invasive forbes (only present in the Taquara site), 14) non-natural/barren, 15) water, 16) shade, 17) clouds</p><p>The land-use mask incorporated into our maps feature the following classes: main roads, farming/crops, silviculture, and urban areas. </p><p> </p><p><strong>Coordinate Reference System</strong></p><p>Datasets were projected to <strong>South America Albers Equal Area</strong> <strong>Conic</strong>, with all areal calculations based on this projection.</p><p> </p><p><strong>Data Usage</strong> </p><p>The datasets are publicly available and should be cited appropriately (main publication: Ribeiro et al. 2020).</p><p> </p><p><strong>Additional information</strong></p><p>For any other data requests or questions, please contact Fernanda Ribeiro (fernanda.ffr@gmail.com).</p>
Adjacent crop type impacts potential pollinator communities and their pollination services in remnants of natural vegetation.
<p><em><span>Aim:</span></em><span> Pollination plays a crucial role in the conservation of many plant species persisting in fragmented, human-dominated landscapes. Pollinators are known to be instrumental in maintaining genetic diversity and metapopulation dynamics for many plant species and are important for providing ecological services that are essential in agricultural landscapes where populations of native plants are highly isolated. Numerous studies have explored the value of remnant native vegetation for supporting pollination services to crop species; yet the effect of mass-flowering crops on the pollinator communities and the pollination services they provide to native plant communities persisting in fragmented landscapes are less well-understood. Here, we</span><span> assess the influence of the presence and phenology of a mass-flowering crop to pollinator community structure, abundance and pollen load composition in remnant vegetation in complex agricultural landscapes. </span></p> <p><em><span>Location:</span></em><span> South-west Western Australia, Australia.</span></p> <p><em><span>Methods:</span></em><span> </span>We recorded the composition and abundance of insect flower visitors and their pollen loads in isolated remnants of York gum-Jam woodlands adjacent to canola (insect-attracting) or wheat (non-insect-attracting) fields over two years. </p> <p><em>Results:</em> All bees were much more sensitive to adjacent crop type (neighbouring canola or wheat) than non-bee pollinators. Honeybees were the most abundant pollinators in canola fields during peak flowering. Honeybee abundance increased in canola-adjacent reserves post-canola bloom, potentially indicating a movement into reserves as crop flowering waned. Native bees were the most diverse in remnant vegetation. Pollen loads of native bees were more mixed (increased pollen richness and evenness) when sampled next to canola fields compared to wheat fields. </p> <p><em>Main conclusion:</em> The availability of potential insect pollinators to remnant wildflower communities in agricultural landscapes is context dependent. Whether sampled communities were adjacent to wheat or canola in a landscape significantly impacted the abundance of potential pollinators in certain landscape elements, but not others, and the composition of pollen loads carried by these insects. Results offer novel insights about the influence of landscape context on <span>pollinator communities and the potential pollination services available for the conservation of native plant species in highly fragmented agricultural landscapes.</span></p>
Data for JGR - Drought Differently Impacts Vegetation Activity According to the Bedrock Types and Sub-seasons
<p>For peer review purposes only</p>
Fig. 9. Peruvian vegetation types. A in The genus Begonia (Begoniaceae) in Peru
Fig. 9. Peruvian vegetation types. A. High elevation grasslands, Junín Region. B. Upper montane forest, Cajamarca Region. C. Middle montane forest, San Martín Region. D. Lower montane forest, Pasco Region. All photographs taken by P.W. Moonlight.
Inulin-type Fructans-rich Vegetables, Obesity, Gut Microbiota
ClinicalTrials.gov study NCT03852069. IPD Sharing: NO. Countries: 0. Publications: 8.
Postprandial Effect of Isocaloric Challenge Meals Enriched With Indigenous Fruits and Vegetables on Glucose Metabolism in Individuals With Type 2 Diabetes in Wakiso District, Uganda
ClinicalTrials.gov study NCT07295600. IPD Sharing: YES. Countries: 0. Publications: 0.
Fixed or mixed? variation in tree functional types and vegetation structure in a forest-savanna ecotone in West Africa
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Adjacent crop type impacts potential pollinator communities and their pollination services in remnants of natural vegetation.
Open the record for dataset details and reuse information.
History of research sites including earlier vegetation types at the Kellogg Biological Station, Hickory Corners, MI
Dataset Abstract Information about earlier vegetation, farming, etc. original data source http://lter.kbs.msu.edu/datasets/141
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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.