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3,105 results for “Vegetation =”
Figure 5 in Vegetation complexity and bat-plant dispersal in Calakmul, Mexico
Figure 5. Unimodal-extended (A–D), bimodal-extended (E–H), and multimodal (I, J) batdispersed fruiting patterns in three habitats of Calakmul, Campeche, Mexico. Each sample relates to a lunar month during May 2002 to August 2003. (A, C, D) Synchronous pattern; (B, E–J) asynchronous pattern.
Figure 2 in Vegetation complexity and bat-plant dispersal in Calakmul, Mexico
Figure 2. Seasonal overall fruit density (white bars) and bat-dispersed fruit density (dotted bars) from May 2002 to August 2003 in three habitats in Calakmul, Campeche, Mexico. Fruit density was estimated from 20 plots per habitat and is given as mean¡1 SE. Error bars for overall fruit density are represented as continuous lines, while for bat-dispersed fruit, the densities are plotted as broken lines. MOA, modified open area; TSDF, tropical semideciduous forest; and TSHF, tropical sub-humid forest.
Figure 1 in Vegetation complexity and bat-plant dispersal in Calakmul, Mexico
Figure 1. Climate chart (A) and overall fruit density (B; solid black bars) for the study area in Calakmul, Campeche, Mexico, from May 2002 to August 2003. Precipitation is represented by hatched bars (period 2002–2003) and white bars (period 1989–2003) and temperature by a dark continuous line (period 2002–2003) and a light continuous line (period 1989–2003). Weather data were recorded at the Xbonil meteorological station and were obtained with permission from Comisión Nacional del Agua. Annual temperature and precipitation are given as mean¡1 SE, while precipitation for the period 2002 and 2003 is accumulative. Abbreviations: PP, precipitation; Temp, temperature.
Simulation results for "Modeling the joint effects of vegetation characteristics and soil properties on ecosystem dynamics in a Panama tropical forest"
<p>This dataset is the ELM-FATES simulation outputs for the paper entitled "Modeling the joint effects of vegetation characteristics and soil properties on ecosystem dynamics in a Panama tropical forest". </p>
8-day Vegetation optical depth (VOD) and normalised difference vegetation index (NDVI)- based estimated degree of curing (DOC) for Australia
<p>This is a gridded degree of curing (DOC) dataset over Australia based on vegetation optical depth (VOD) and normalised difference vegetation index (NDVI) that can reasonably reproduce groundbased observations in space and time.</p> <p>The gridded DOC data is produced via estimation models using the VOD dataset from AMSR-E (0.1 degree; 8-day) and NDVI dataset from MODIS Terra MOD09A1 (0.005 degree; 8-day). The estimation models are derived from the calibration and evaluation of VOD and NDVI datset with field observed DOC over Australia. Matlab was used for the calibration and evaluation of these models.</p> <p>There are 2 variations based on the following estimation models: DOC_M1 = 145.57-260.82(NDVI)+137.19(VOD)(NDVI) DOC_M2 = 48.70+147.60(VOD)-259.95(VOD)(NDVI) The domain covered is Australia with a 0.05 degree spatial resolution. Temporal resolution is 8-day composites from 04/07/2002 to 26/06/2011 .</p> <p>These experiments were executed by Waisin Chaivaranont of the ARC Centre of Excellence for Climate System Science (ARCCSS) research program "The role of land surface forcing and feedbacks for regional climate".</p>
Vegetation responses to Soay sheep grazing on St Kilda
<p>1. The population of Soay sheep on the island of Hirta in the Outer Hebrides has been the subject of continuous study for more than 35 years. This paper focuses on the botanical aspects of the plant-herbivore interaction, showing how the vegetation affects and is affected by the sheep.</p> <p>2. Grazing impacts on biomass and spatial structure varied across plant communities, with <i>Holcus/Agrostis</i> grasslands affected most and Wet Heath least, consistent with the hypothesis that herbivore impacts are proportional to plant productivity.</p> <p>3. Within plant communities, the negative relationships between sheep numbers and plant abundance (sward height, gap/tussock cover and biomass) were significant in March but not significant in August, as expected if sheep numbers are limited by food supply in winter.</p> <p>4. In most species, flower stem density declined with increasing sheep numbers. There were no examples where unpalatable plants showed increased flowering (e.g. from competitor release under selective grazing).</p> <p>5. Plant production in temporary grazing exclosures (above ground net primary production) was greatest in <i>Holcus/Agrostis</i> grassland (12.6t/ha dry matter/year), lower in <i>Nardus</i> grassland (5.1t/ha/yr) and least in <i>Plantago </i>sward (1.3t/ha/yr) associated with differences in historical nutrient supply and microclimate. </p> <p>6. The net effect of grazing on plant species richness was positive: a few highly palatable species were excluded, but small-scale coexistence of grazing tolerant species was enhanced by defoliation.</p> <p>7. The Soay sheep population fluctuated from 908 (in 1988) to 2208 (in 2009), increasing by an average of 39 extra animals per year over the period 1985-2011. Between 2011 and 2020, the population fluctuated less widely and showed no trend.</p> <p>8. Population change (ln(N(t+1)/N(t)) was inversely density dependent but positively correlated with plant production in <i>Holcus/Agrostis</i> grassland which increased during the study.</p> <p>9. This plant-herbivore interaction is highly resilient, and though some species (<i>Festuca rubra</i> and <i>Ranunculus acris</i>) declined in the <i>Holcus/Agrostis</i> grassland, there was no significant upward trend in the abundance of unpalatable plant species.</p> <p>10. Implications for future studies and analyses of plant-herbivore data. Concentrating on estimating primary productivity and herbivore offtake, rather than simply measuring change in plant biomass, is likely to provide greatly improved explanatory power for understanding herbivore population dynamics.</p>
FIGURE 1. Kalanchoe miniata var. miniata. A. Vegetative morphology. B. Inflorescence. C in Nomenclature and taxonomic placement of the infraspecific taxa recognised in the Malagasy Kalanchoe miniata (Crassulaceae subfam. Kalanchooideae) by Perrier de la Bâthie and Boiteau and Mannoni in the 20 century
FIGURE 1. Kalanchoe miniata var. miniata. A. Vegetative morphology. B. Inflorescence. C. View of the mouth of the flower. Photographs: Ronen Shtein.
LT-Brazil: A database of leaf traits across biomes and vegetation types in Brazil
<p>The LT-Brazil data set contains observations of leaf mass per area, leaf N and P concentration per unit mass, and leaf N:P ratio from native woody species across the Brazilian territory, encompassing information of biome, vegetation, taxonomic data, geographical coordinates, climatic parameters, as well as soil properties. We compiled data from several geographical coordinates in native vegetation distributed across all biomes (i.e., Amazônia, Caatinga, Cerrado, Mata Atlântica, Pampa, and Pantanal) found in Brazil. Our compilation was focused on native woody plants (i.e., trees, shrubs, subshrubs, and lianas), excluding monocots, palm trees, herbs, and hemiparasitic plants. The compiled data set covers <em>c.</em> 9% of woody angiosperm species of Brazil. Unidentified or mixed species were also considered when met our eligibility criteria. Contributions to expand this database can be performed through our repository at GitHub (https://github.com/emariano-git/lt-brazil.git). Major versions of the LT-Brazil data set will also be made available via the TRY Plant Trait Database (https://www.try-db.org).</p>
Precipitation and vegetation shape patterns of genomic and craniometric variation in the Central African rodent Praomys misonnei
<p><span><span>Predicting species capacity to respond to climate change is an essential first step in developing effective conservation strategies. However, conservation prioritization schemes rarely take evolutionary potential into account. Ecotones provide important opportunities for diversifying selection and may thus constitute important reservoirs of standing variation, increasing the capacity for future adaptation. Here we map patterns of environmentally-associated genomic and craniometric variation in the central African rodent <i>Praomys misonnei</i> to identify areas with the greatest turnover in genomic composition. We also project patterns of environmentally-associated genomic variation under future climate change scenarios to determine where populations may be under the greatest pressure to adapt. While precipitation gradients influence both genomic and craniometric variation, craniometric variation is also affected by changes in vegetation structure. Areas of elevated environmentally-associated genomic and craniometric variation overlap with zones of rapid ecological transition underlining their importance as reservoirs of evolutionary potential. We find that populations in the Sanaga river basin, central Cameroon and coastal Gabon are likely to be under the greatest pressure from climate change. Lastly, we make specific conservation recommendations on how to protect zones of high evolutionary potential and identify areas where populations will be the most susceptible to climate change. </span></span></p>
Fig. 2 in Collecting Insects Associated with Wetland Vegetation: An Improved Design for a Floating Pitfall Trap
Fig. 2. Trap in situ, approximately 0.5 m deep water with surface covered by aquatic macrophytes and debris.
Fig. 1 in Collecting Insects Associated with Wetland Vegetation: An Improved Design for a Floating Pitfall Trap
Fig. 1. Line drawing depicting our design for an improved floating pitfall trap (with gardening stake at left). Lead weights are not depicted in the jar.
Use of synthetic aperture radar data for the determination of vegetation indices
<p>Database for the article "Use of synthetic aperture radar data for the determination of vegetation indices"</p>
FIGURE 4 in Myrtaceae floristic survey and vegetation distribution in a central portion of Chapada Diamantina, Brazil
FIGURE 4. Myrtaceae collected in Mucugê, Bahia, Brazil.A: Algrizea macrochlamys; B: Campomanesia sessiliflora; C: Eugenia modesta; D: E. punicifolia; E: E. splendens; F: Myrcia amazonica; G: M. loranthifolia; H, I: Myrciaria floribunda; J: Psidium brownianum. (A-C, F-J. Aline Stadnik; D. Luísa Lucresia; E. Janine D.O. Melo).
FIGURE 1. A in Myrtaceae floristic survey and vegetation distribution in a central portion of Chapada Diamantina, Brazil
FIGURE 1. A. Location of the Espinhaço Mountain Range within Brazil; B. Location of Mucugê within the mountain range (highlighted in black) and its geomorphological structures; C. Result of landcover classification of the studied area.
FIGURE 5. A in Myrtaceae floristic survey and vegetation distribution in a central portion of Chapada Diamantina, Brazil
FIGURE 5. A. Spatial distribution of previous floristic surveys including Myrtaceae in the Espinhaço Mountain Range, Brazil - including the extension of surrounding morphoclimatic domains and delimitation of the three main geomorphological structures: Chapada Diamantina (upper portion), Northern Espinhaço (middle portion) and Southern Espinhaço (lower portion); B. NMDS; and C. UPGMA results, both with the circumscription of the four groups found.
FIGURE 3 in Myrtaceae floristic survey and vegetation distribution in a central portion of Chapada Diamantina, Brazil
FIGURE 3. Phytophysiognomies recorded in the study area. A: Arboreal caatinga (Photography taken in January, after occurrence of rain); B: Caatinga s.s. (Photography from August, dry season); C: Campo rupestre; D: Cerrado s.s.; E: Campos gerais; F: Campo limpo; G: Forest.
FIGURE 2. A in Myrtaceae floristic survey and vegetation distribution in a central portion of Chapada Diamantina, Brazil
FIGURE 2. A. Spatial distribution of Myrtaceae records and points validated during fieldwork that were used to measure the Cohen-Kappa coefficient; B. Number of records attributed to vegetation categories according to landcover classification and collector description (AN: Anthropized vegetation, CAA: Caatinga sensu lato, CE: Cerrado sensu lato, CR: Campos rupestres, FL: Forests and NI: Not identified, specimens with no available data); and C. Number of records according to their collection date.
FIGURE. Myrcia cf. obversa. A: Habit; B–C: Fruits; D. Calyx indumentum in fruit: E: Infrutescence; F. Vegetative branch; G: Leaf abaxial surface; H: Distribution map. (A, B: Hatschbach 16698; C–G: Brotto 2561). in Myrcia (Myrtaceae) in the state of Paraná, Brazil
FIGURE. Myrcia cf. obversa. A: Habit; B–C: Fruits; D. Calyx indumentum in fruit: E: Infrutescence; F. Vegetative branch; G: Leaf abaxial surface; H: Distribution map. (A, B: Hatschbach 16698; C–G: Brotto 2561).
Video recording and vegetation classification elucidate sheep foraging ecology in species-rich grassland
<p>Dataset as Excel file</p>
Quantitatively Monitoring the Resilience of Patterned Vegetation in the Sahel
Processed monthly Sentinel-2 image data for 42 patterned vegetation sites across the Sahel. Data includes RGB images, greyscale NDVI images and binary BWNDVI sub-images. These sub-images contain black pixels for vegetation and white pixels for soil, with 289 sub-images corresponding to a single image. Sentinel images are provided by Copernicus and accessed via Google Earth Engine.
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Allen Brain Atlas
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Annotated Behaviour and Observability Dataset (ABODe)
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DANDI Archive for NWB datasets
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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.