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1,253 results for “pastures”
Animal and pasture data of AGROMIX WP3 pilot site trial at Tenuta di Paganico (GR) Italy (Spring 2021)
<p>Dataset of collected data on herbage, production , animal intake, and animal welfare in spring 2021 at Tenuta di Paganico (GR) Italy</p>
Pasture Condidition map (10m) of the Brazilian Cerrado
<p>Pasture Condition map of 2020 for the Brazilian Cerrado made by Remote Sensing and GIS Lab (LAPIG/UFG). The production of this map used the cloud computing power of the Google Earth Engine cloud platform coupled with data from ESA's Sentinel 2 A/B satellite and the Random Forest algorithm to produce a pasture map and a pasture conditions map. The training samples used were based on ~60,000 samples with spectral behavior correlated with Embrapa field data using the Time-Weighted Dynamic Time Warping (TWDTW) algorithm developed by the Instituto Nacional de Pesquisas Espaciais (INPE).</p> <p>The classes presented in the map are related to:</p> <ul> <li>1 - Signs of Severe Degradation process</li> <li>2 - Signs of Moderate Degradation process</li> <li>3 - Signs of Absent Degradation</li> </ul>
Ammonia emission measurements of an intensively grazed pasture - Dataset
<p>Dataset presented and referenced in the corresponding Biogeosciences publication by Voglmeier et al. (2018) [see Related identifiers]. The dataset results from a field experiment in Posieux, Switzerland. During that experiment ammonia emissions of two pasture systems were measured over an entire grazing season in 2016. The spreadsheet file contains half-hourly values of measured ammonia concentration data, computed ammonia emissions, weather and turbulence data. Additionally the calculated nitrogen in the excretion of the cows and the grazing management is given. Detailed information on the measurement methods and the data evaluation is presented in Voglmeier et al. (2018).</p>
Figure 1 in First Occurrence and Population Dynamics of Blissus pulchellus (Hemiptera: Blissidae) in Brazil: a new pest of pastures in Roraima
Figure 1 Area of Brachiaria brizantha cv.Marandu with damage of Blissus pulchellus (A), clump with symptoms of attack (B), adult (C), nymphs (D) and colonies (E), Roraima,Brazil.
Fig. 3 in Elaphostrongylus and Dictyocaulus infections in Norwegian wild reindeer and red deer populations in relation to summer pasture altitude and climate
Fig. 3. Calculated average altitude above sea level (points) with standard deviation (thicker grey line) of the main summer pasture area of six wild reindeer and two wild red deer populations in South Norway sampled for parasitological studies 2012–2014. The calculation was based upon GPS-positions recorded during June, July and August. The recorded min and max altitudes are indicated by the ends of the black line. Reindeer populations (No): 14 Nordfjella, 2 Snøhetta, 19 Setesdal Ryfylke, 1 Forollhogna, 6 Rondane, 20 Setesdal Austhei. Red deer populations (No): 24 Ørsta, 25 Kvinnherad.
Fig. 1 in Elaphostrongylus and Dictyocaulus infections in Norwegian wild reindeer and red deer populations in relation to summer pasture altitude and climate
Fig. 1. Map of South Norway showing the location of the 23 Norwegian wild tundra reindeer populations (No 1–23). The six populations included in the present study (No 1, 2, 6, 14, 19, 20) are marked with brighter tan. The location of two wild red deer municipalities studied (No 24, 25) are marked in green. (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)
Fig. 5 in Elaphostrongylus and Dictyocaulus infections in Norwegian wild reindeer and red deer populations in relation to summer pasture altitude and climate
Fig. 5. Calculated mean temperature (̊C) and monthly rainfall (mm) for June–August at the average altitude of the main summer pasture areas for eight wild reindeer and red deer populations sampled for parasitological studies 2012–2014. The data represent the five summers prior to sampling. The range and average (horizontal bar) of mean monthly temperature (left y-axis) and rainfall (right y-axis) are shown by red and blue lines respectively. Reindeer populations (No): 14 Nordfjella, 2 Snøhetta, 19 Setesdal Ryfylke, 1 Forollhogna, 6 Rondane, 20 Setesdal Austhei. Red deer populations (No): 24 Ørsta, 25 Kvinnherad. (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)
Fig. 2 in Elaphostrongylus and Dictyocaulus infections in Norwegian wild reindeer and red deer populations in relation to summer pasture altitude and climate
Fig. 2. Example of Kernel Density Analysis, visualizing the main grazing area of radio-collared females in the wild reindeer population in Nordfjella during June, July and August. The darker the color, the larger number of GPS positions recorded. The outer limits of the area are marked with a dark line. (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)
Fig. 1 in Red imported fire ant, Solenopsis invicta (Burden) (Hymenoptera: Formicidae), abundance and arthropod community diversity affected by pasture management
Fig. 1. Mean ± SE Solenopsis invicta mound abundance (A) and mound area (B) in adaptive multi-paddock and conventionally grazed (CG) pastures (n = 6). Statistical analysis was conducted using 1-way analysis of variance (ANOVA), *α = 0.05.
Linked collectors and determiners for: Plant bugs (Hemiptera: Miridae) associated with pastures in Colombia.
Natural history specimen data linked to collectors and determiners held within, "Plant bugs (Hemiptera: Miridae) associated with pastures in Colombia". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/f2aded92-7461-4b7e-9a9c-1dbc5c307aff">https://bionomia.net/dataset/f2aded92-7461-4b7e-9a9c-1dbc5c307aff</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/f2aded92-7461-4b7e-9a9c-1dbc5c307aff">https://gbif.org/dataset/f2aded92-7461-4b7e-9a9c-1dbc5c307aff</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: GPasS - Germplasm Collection of Pasture Species (ISPAAM-CNR-GPASS).
Natural history specimen data linked to collectors and determiners held within, "GPasS - Germplasm Collection of Pasture Species (ISPAAM-CNR-GPASS)". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/7c6aab56-4724-4f07-abf2-01146b7ae8f8">https://bionomia.net/dataset/7c6aab56-4724-4f07-abf2-01146b7ae8f8</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/7c6aab56-4724-4f07-abf2-01146b7ae8f8">https://gbif.org/dataset/7c6aab56-4724-4f07-abf2-01146b7ae8f8</a>. Formatted as a Frictionless Data package.
Figure 1 in Seasonal dynamics of mites (Acari) in pastures and meadows in Poland, with species analysis of Oribatida
Figure 1 Location of the study plots. G – goose pasture and meadow, Go – goat pasture and meadow, F – fallow deer pasture and meadow.
Figure 3 in Seasonal dynamics of mites (Acari) in pastures and meadows in Poland, with species analysis of Oribatida
Figure 3 Detrended correspondence analysis (DCA) for most abundantA(> 0.5) oribatid species (adults and juveniles). Season, eigenvalues for
Figure 2 in Seasonal dynamics of mites (Acari) in pastures and meadows in Poland, with species analysis of Oribatida
Figure 2 Age structure of Oribatida in spring (Sp), summer (Su) and autumn (Au); a, b – significant difference between seasons atp ≤ 0.05; the same letter indicates that difference is not significant. Adult pasturep-value=0.236, juvenile pasture p-value=0.011, adult meadowp-value=0.156, juvenile meadowp-value=0.080.
Figure 4 in Seasonal dynamics of mites (Acari) in pastures and meadows in Poland, with species analysis of Oribatida
Figure 4 Detrended correspondence analysis (DCA) for most abundant oribatid species (adults and juveniles) with A>(0.5). Study site eigenvalues for axis 1 ʎ = 0.50 (84.07%), for axis 2 ʎ = 0.02 (3.08%). Pasture and meadow in spring (sp), summer (su) and autumn (au). A_col – Achipteria coleoptrata, E_occ – Eupelops occultus, L_sim – Liebstadia similis, M_pul – Metabelba pulverosa, P_pel – Platynothrus peltifer, P_pun – Punctoribates punctum, S_lae – Scheloribates laevigatus, S_imm – Sellnickochthonius immaculatus, T_vel – Tectocepheus velatus, T_nov – Trichoribates novus.
Farm and regional levels' database used to test the effectiveness of slope and distance from buildings in approximating the pastoral site-use intensity of alpine pastures
<p>The excel file contains the two databases used in the paper “Slope and distance from buildings are easy-to-retrieve proxies for estimating livestock site-use intensity in alpine summer pastures” to test the effectiveness of slope and distance from buildings in approximating the pastoral site-use intensity of alpine pastures.</p> <p>The database in the ‘farm level’ sheet has been used to assess if slope and distance from buildings were good predictors of site-use intensity at farm level, i.e. the number of GPS locations counted within sample units was modelled as a function of the two proxies. Moreover, this database has been used to evaluate if the expected transition of Vegetation Ecological Groups (VEGs) from the shrub-encroached to the nitrophilous ones corresponded to a real site-use intensity gradient as represented by the stocking rates measured through GPS locations, i.e. by modelling the total number of GPS locations within sample units in function VEGs.</p> <p>The database in the ‘Regional level’ sheet has been used to evaluate if the five VEGs were effectively discriminated by distance from buildings and slope. Two models were performed by specifying either slope and distance from buildings as response variables and VEG as fixed factor.</p>
SGS-LTER GIS layer with detailed information on pasture boundaries on Central Plains Experimental Range, Nunn, Colorado, USA 2012
This data package was produced by researchers working on the Shortgrass Steppe Long Term Ecological Research (SGS-LTER) Project, administered at Colorado State University. Long-term datasets and background information (proposals, reports, photographs, etc.) on the SGS-LTER project are contained in a comprehensive project collection within the Digital Collections of Colorado (http://digitool.library.colostate.edu/R/?func=collections&collection_id=3429). The data table and associated metadata document, which is generated in Ecological Metadata Language, may be available through other repositories serving the ecological research community and represent components of the larger SGS-LTER project collection. No Abstract Available
SGS-LTER GIS layer with detailed information on Pasture Treatment on Central Plains Experimental Range, Nunn, Colorado, USA 2012
This data package was produced by researchers working on the Shortgrass Steppe Long Term Ecological Research (SGS-LTER) Project, administered at Colorado State University. Long-term datasets and background information (proposals, reports, photographs, etc.) on the SGS-LTER project are contained in a comprehensive project collection within the Digital Collections of Colorado (http://digitool.library.colostate.edu/R/?func=collections&collection_id=3429). The data table and associated metadata document, which is generated in Ecological Metadata Language, may be available through other repositories serving the ecological research community and represent components of the larger SGS-LTER project collection. No Abstract Available
Vegetation data along alpine pasture-shrub gradients
<p>Columns of dataset:</p> <ul> <li>Species_richness: Number of species per plot</li> <li>Species_evenness: Pielou's eveness of species cover values</li> <li>Heterogeneity: Beta-diversity, average Jaccard distance to the other three plots within cover zone</li> <li>Nutrient_index: Cover-weighted average nutrient indicator value</li> <li>Light_index: Cover-weighted average light indicator value</li> <li>Water_index: Cover-weighted average humidity indicator value</li> <li>Gradients_ID: gradient identifier</li> <li>Dominant_shrub: Dominant shrub species (3 categories)</li> <li>Zonal_cover: Value of zonal cover in percent</li> <li>Plot_cover: Value of plot cover in percent</li> <li>Geology_4level: Substrate of parent material (4 categories)</li> <li>Geology_2level: Substrate of parent material (2 categories)</li> <li>Aspect_3level: Aspect (3 categories)</li> <li>Elevation: Elevation in m above sea level</li> <li>Steepness_perc: Terrain slope in percent</li> <li>Precipitation: Annual precipitation sum in mm</li> <li>Temperature: Mean annual temperature in °C</li> <li>Soil_phosphorus: Soil phosphorus extracted by AA-EDTA in mg/kg</li> <li>Soil_pH: pH of soil-water suspension</li> </ul>
Plant composition of northern temperate pastures and their disturbance history in Alberta, Canada
<p>This data set includes the plant composition of 102 pastures sampled in north-central Alberta, Canada. Sampled pastures were located in the Central Parkland and Dry Mixed-Wood natural subregions, and were largely comprised of introduced species. In this study, we examined the influence of pasture disturbance history on vegetation, soil properties, and rangeland health. Disturbance history includes estimates of pasture age, cultivation history, fire history, grazing history (including stocking rates), and other pasture management activities/inputs (manure, fertilizer, etc.).</p>
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Allen Brain Atlas
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International Brain Laboratory public data
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OpenNeuro
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