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58 results for “vegetative growth”
Top-down time-lapse photograph dataset: Landsberg erecta Arabidopsis thaliana vegetative growth under 8-hour days
<p>Photographed with Raspberry Pi camera v1. Twelve overlapping fields of view (01 to 12). Two photos per hour from ZT 0030 to ZT 0800 (15:00 to 22:30 UTC). Photographs were taken at 5-minute intervals -- this is a subset of the data. Manifest file with checksums for the 5004 photos (JPEG files) included.</p>
Data from: Vegetation growth responses to climate change: A cross-scale analysis of biological memory and time-lags using tree ring and satellite data
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Highly-replicated soil, topography and vegetation sampling across an old-growth tropical rain forest landscape
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Data from: Tropical Central African bomb radiocarbon reveals antiphase air-mass atmospheric fluxes and vegetation-growth relationships
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Tree data: Effects of Deer on Growth and Establishment of Woody Vegetation in Old Fields
The purpose of this experiment is to measure the effects of deer on the growth and establishment of woody vegetation in old fields. This experiment is located in fields A and B. There are 6 plots in each field. Each plot is 10 by 30 meters, with the long axis perpendicular to the field/woods margin. Plots within a field are spaced at least 5 meters apart. Approximately 5 meters of the 30 meters length extends into the woods, the remaining 25 meters extend out into the field. Each plot is divided into twelve, 5 by 5 meter sections. Six quadrats were placed within each exclosure in each 5 meters of length. Plots are located randomly within each of those blocks. To assign locations randomly a grid was set up from 0 - 4 along the length and 0 - 9 along the width of each plot and random numbers were drawn in pairs, one from each of the random distributions. The plots were marked with rebar. Three plots in each field are fenced with poultry netting, approximately 2 meters high, to exclude deer.
Deer browse: Effects of Deer on Growth and Establishment of Woody Vegetation in Old Fields
The purpose of this experiment is to measure the effects of deer on the growth and establishment of woody vegetation in old fields. This experiment is located in fields A and B. There are 6 plots in each field. Each plot is 10 by 30 meters, with the long axis perpendicular to the field/woods margin. Plots within a field are spaced at least 5 meters apart. Approximately 5 meters of the 30 meters length extends into the woods, the remaining 25 meters extend out into the field. Each plot is divided into twelve, 5 by 5 meter sections. Six quadrats were placed within each exclosure in each 5 meters of length. Plots are located randomly within each of those blocks. To assign locations randomly a grid was set up from 0 - 4 along the length and 0 - 9 along the width of each plot and random numbers were drawn in pairs, one from each of the random distributions. The plots were marked with rebar. Three plots in each field are fenced with poultry netting, approximately 2 meters high, to exclude deer.
Soil nitrogen: Effects of Deer on Growth and Establishment of Woody Vegetation in Old Fields
The purpose of this experiment is to measure the effects of deer on the growth and establishment of woody vegetation in old fields. This experiment is located in fields A and B. There are 6 plots in each field. Each plot is 10 by 30 meters, with the long axis perpendicular to the field/woods margin. Plots within a field are spaced at least 5 meters apart. Approximately 5 meters of the 30 meters length extends into the woods, the remaining 25 meters extend out into the field. Each plot is divided into twelve, 5 by 5 meter sections. Six quadrats were placed within each exclosure in each 5 meters of length. Plots are located randomly within each of those blocks. To assign locations randomly a grid was set up from 0 - 4 along the length and 0 - 9 along the width of each plot and random numbers were drawn in pairs, one from each of the random distributions. The plots were marked with rebar. Three plots in each field are fenced with poultry netting, approximately 2 meters high, to exclude deer.
Microclimate and growth data under three vegetation manipulations with and without Morella cerifera seedlings and grass clipping on Hog Island, Virginia, 2018
These data represent the growth, physiology, and microclimate measurements of 30 Morella cerifera seedlings in a south Hog Island swale. There were three manipulations: shrub seedlings with intact grass canopy, shrub seedlings with grasses clipped, and plots with no shrub seedlings but an intact grass canopy. Measurements include shrub seedlings dimensions, and isotopic characterizations for N and C.
Data from: Immediate and carry-over effects of insect outbreaks on vegetation growth in West Greenland assessed from cells to satellite
Aim: Tundra ecosystems are highly vulnerable to climate change and climate-growth responses of Arctic shrubs are variable and altered by microsite environmental conditions and biotic factors. With warming and drought during the growing season, insect-driven defoliation is expected to increase in frequency and severity with potential broad-scale impacts on tundra ecosystem functioning. Here we provide the first broad-scale reconstruction of spatiotemporal dynamics of past insect outbreaks by assessing their effects on shrub growth along a typical Greenlandic fjord climate gradient from the inland ice to the sea. Location: Nuuk Fjord (64°30′N/51°23′W) and adjacent areas, West Greenland. Taxa: Great brocade (Eurois occulta L.) and grey willow (Salix glauca L.). Methods: We combined dendro-anatomical and remote sensing analyses. Time series of ring width and wood-anatomical traits were obtained from chronologies of > 40 years established from 153 individuals of S. glauca collected at nine sites. We detected anomalies in satellite-based Normalized Difference Vegetation Index (NDVI) related to defoliation and reconstructed past changes in photosynthetic activity across the region. Results: We identified outbreaks as distinctive years with reduced ring width, cell-wall thickness and vessel size, without being directly related to climate but matching with years of parallel reduction in NDVI. The two subsequent years after the defoliation showed a significant increase in ring width. The reconstructed spatiotemporal dynamics of these events indicate substantial regional variation in outbreak intensity linked to the climate variability across the fjord system. Main conclusions: Our results highlight the ability of S. glauca to cope with severe insect defoliation by changing carbon investment and xylem conductivity leading to high resilience and rapid recovery after the disturbance. Our multi-proxy approach allows us to pin-point biotic drivers of narrow ring formation and to provide new broad-scale insight on the C-budget and vegetation productivity of shrub communities in a widespread arctic ecosystem
Data and code for 'Global disparity in synergy of solar power and vegetation growth'
<p>The 'stepwisefit' requires Statistics and Machine Learning Toolbox installed in the MATLAB to run the code. The import data are attached.</p>
Hydrothermal conditions modulate the impact of climate extremes on vegetation growth in the Northern Hemisphere
<p><strong><span>Aim</span></strong></p> <p>Climate extremes are becoming more frequent under global warming, with substantial repercussions for vegetation growth. The degree to which climate extremes increase the risk of high-impact events on vegetation growth is of high concern.</p> <p><strong>Location</strong></p> <p>Northern Hemisphere (north of 30° N)<span>.</span></p> <p><strong>Time Period</strong></p> <p><span>F</span>rom 2001 to 2022<span>.</span></p> <p><strong>Major Taxa Studied</strong></p> <p><span>P</span><span>l</span><span>ants</span><span>.</span></p> <p><strong>Methods</strong></p> <p><span>W</span>e utilized solar-induced chlorophyll fluorescence (SIF) and the normalized difference vegetation index (NDVI) as proxies for vegetation growth and performed event coincidence and sensitivity analyses to attribute satellite-derived vegetation growth extremes to diverse climate extremes (extreme heat, cold, wet, and drought) in the Northern Hemisphere.</p> <p><strong>Results</strong></p> <p>Our results showed that extreme heat and cold were the main climatic extremes that induced positive and negative vegetation growth extremes north of 30° N, respectively, mainly in cold and humid ecosystems (boreal and temperate forests). Water-related extreme events accounted for less than one-third of vegetation extremes. The contribution of drought to positive vegetation growth extreme events (approximately 17%), mainly in cold and humid ecosystems, was even slightly higher than that of extreme wet (approximately 12%), which predominantly impacted relatively warm and arid ecosystems (croplands and temperate grasslands). We further identified potential climatic thresholds that could induce a reversal of vegetation growth responses to climate extremes and showed that the past <span>two</span> decades of warming and precipitation changes did not induce a shift in the main climatic drivers of vegetation extremes across northern ecosystems.</p> <p><strong>Main Conclusions</strong></p> <p>Our results emphasize the crucial role of background hydrothermal conditions in the attribution of vegetation growth extremes to diverse climate extremes across northern ecosystems and have substantial implications for predicting how Northern Hemisphere vegetation will respond to increasing climate extremes in the future.</p>
Data from: Immediate and carry-over effects of insect outbreaks on vegetation growth in West Greenland assessed from cells to satellite
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Differences in vegetative growth of two invasive hawkweeds at temperatures simulating invaded habitats at two altitudes
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Data from: Maintenance of high genome integrity over vegetative growth in the fairy-ring mushroom Marasmius oreades
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A dicamba resistance endowing IAA16 mutation leads to significant vegetative growth defects and impaired competitiveness in kochia (Bassia scoparia)
<p class="CxSpFirst"><span>Precise quantification of the fitness cost of synthetic auxins resistance has been impeded by lack of knowledge for the genetic basis of resistance in weeds. Recent elucidation of a resistance endowing IAA16 mutation (G73N) in a key weed species kochia (<i>Bassia scoparia</i>), allows detailed characterization of the contribution of resistance alleles to weed fitness, both in the presence and absence of herbicides.<b> </b>Different G73N genotypes from a segregating resistant parental line (9425) were characterized for cross resistance to dicamba, 2,4-D and fluroxypyr, and changes on stem/leaf morphology and plant architecture. Plant competitiveness and dominance of the fitness effects was quantified through measuring biomass and seed production of three F<sub>2</sub> lines in two runs of glasshouse replacement series studies. G73N confers robust resistance to dicamba but only moderate to weak resistance to 2,4-D and fluroxypyr. G73N mutant plants displayed significant vegetative growth defects: 1) being 30-50% shorter with a more tumbling style plant architecture; 2) had thicker and more ovate (versus lanceolate and linear) leaf blades with lower photosynthesis efficiency, and 40-60% smaller stems with less developed vascular bundle systems. F<sub>2 </sub>mutant plants had impaired plant competitiveness, which produced up to 90% less biomass and seeds in the replacement series study. The pleiotropic effects of G73N was mostly semi-dominant (0.5) and fluctuated with the environments and traits measured. G73N is associated with significant vegetative growth defects and reduced competitiveness in synthetic auxin resistant kochia. Management practices should target resistant kochia's high vulnerability to competition to effectively contain the spread of resistance.</span></p>
Vegetation growth and landscape genetics of Tillandsia lomas at its dry limits in the Atacama Desert shows fine-scale response to environmental parameters
<p>1. Ecosystems at its dry limits have been studied while focusing on species biology, fitness and interactions of biotic and abiotic parameters; however, the interactive effects of these parameters remain under-explored and, therefore, information is often lacking about the putative effect of global climate change on these ecosystems.</p> <p>2. Here, we conducted an analysis of the interplay of fine-scale landscape genetics and biotic and abiotic factors of terrestrial <i>Tillandsia</i> lomas in the hyperarid Atacama Desert, characterized by a fog-dependent vegetation type consisting of almost one single vascular plant species only.</p> <p>3. We showed that metapopulations of <i>Tillandsia landbeckii</i> are genetically connected over many hundreds of squarekilometres, and despite a large potential to propagate clonally genetic diversity is structured, regionally and locally. On landscape-level genetic diversity correlates well with fitness parameters such as growth, flowering and vegetation density, and we observed also fine-scaled correlation with a 3-D landscape model indicating a positive feedback with saisonal fog occurrence and availability. The various interdependies of biotic and abiotic factors also result in regular linear banding patterns of vegetation arranged orthogonally towards landscape slope. <i>Ex-situ</i> growth experiments indicate that <i>T. landbeckii</i> growths at optimal rates within this extreme, hyperarid environment, and we can extrapolate mean biomass production for this particular ecosystem.</p> <p>4. <i>Synthesis.</i> Our results suggest that the unique ecosystem of terrestrial <i>Tillandsia</i> lomas in the hyperarid Atacama Desert is an evolutionary balanced and fine-scaled system. Vegetation itself is built up by long-lived and persistent modules. We developed a descriptive model of the various interacting factors, thereby highlighting also a severe threat caused by global climate change.</p>
THE IMPACT OF THE EXPORT POTENTIAL OF THE FRUIT AND VEGETABLE INDUSTRY ON THE ECONOMIC GROWTH OF THE REPUBLIC OF UZBEKISTAN.
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Figs. 4A-D. Growth habits. A in Vegetative anatomy of some Brazilian Zygopetalinae (Orchidaceae)
Figs. 4A-D. Growth habits. A. Zygopetalum mackayi; B. Zygopetalum maxillare; C. Huntleya meleagris; D. Warczewiczella wailesiana..
A dicamba resistance endowing IAA16 mutation leads to significant vegetative growth defects and impaired competitiveness in kochia (Bassia scoparia)
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Vegetation growth and landscape genetics of Tillandsia lomas at its dry limits in the Atacama Desert shows fine-scale response to environmental parameters
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Allen Brain Atlas
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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
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International Brain Laboratory public data
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