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437 results for “masting”
Tree Mast Production in Pinyon-Juniper-Oak Forests at the Sevilleta National Wildlife Refuge, New Mexico
The purpose of this study is to monitor the fruit production of three common woody tree species that occur on the Sevilleta National Wildlife Refuge (NWR) in New Mexico. We estimate fruit production of two monoecious species, Pinus edulis (pinon pine) and Quercus turbinella (Sonoran scrub oak) and one dioecious species, Juniperus monosperma (one-seed juniper). During August – November, we estimate fruit production for these three species at up to six sites within the Sevilleta NWR. Different protocols are used for each species (see Methods). In addition, the age and/or size of each individual tree was assessed at the beginning of the study, excepting in one site (WM) where fruit counts occurred at the plot, rather than individual tree, scale. For P. edulis and J. monosperma, trees wre binned into categories of young, medium, old, or very old trees. For Q. turbinella, we estimate canopy surface area in m 2
Mast-borne spectral reflectance measurements of boreal landscape during spring
<p>This dataset contains mast-borne spectral reflectance measurements (350-2500 nm / 350-1000 nm) measured with an ASD Field Spec Pro JR spectroradiometer and digital images of the measurement areas from the time of the measurements. The measurement targets are a boreal sparse pine forest and a forest opening located at the premises of the Arctic Space Centre of the Finnish Meteorological Institute in Sodankylä, northern Finland (N67.361833, E26.634154, WGS84).</p> <p>The dataset covers spring time periods during years 2010-2018 from the dry snow period until some time after the snow disappearance. The temporal coverage vary from year to year depending on the mounting date and due to technical problems. Measurements have been conducted every 30 min during fixed day-time period and based on set weather threshold values.</p> <p>The spectral reflectance data are organized in yearly CSV files the metadata information attached in the file header. Accordingly, the digital images from the measurement areas are organized in yearly folders and packed into zip files.</p> <p>For this version a data example plot (Data_example_mast.png) was added to have a quick visualisation of the sort of the data available.</p> <p>For further information contact Henna-Reetta Hannula (henna-reetta.hannula@fmi.fi) or Kirsikka Heinilä (kirsikka.heinila@ymparisto.fi)</p>
Wind tunnel test data for the evaluation of the aerodynamic coefficients of an antenna mast with ancillaries.
<p>This dataset comprises measured data and results from static wind tunnel tests conducted in April 2024 at the Giovanni Solari Wind Tunnel Facility (GS-WinDyn). The tests aim to assess the drag, lift, and moment coefficients <span>of an antenna mast designed as a triangular lattice tower, equipped with both linear and discrete ancillary components.</span> The wind tunnel experiments are carried out under both smooth and turbulent flow conditions using a scaled 3D model of the antenna mast. Five ancillary configurations, based on predominant patterns observed, are tested. Drag forces, lift forces and moments are measured using two six-component force balances attached to the ends of the model, while downstream three-component velocity data is captured by a Cobra probe. For each configuration, aerodynamic coefficients are determined for angles of attack ranging from 0° to 360°, with increments of up to 10°. The dataset provides the measured data and the obtained aerodynamic coefficients and it has significant reuse potential in several applications: comparison with experimental wind tunnel data, validation of analytical and numerical CFD models with similar configurations, estimation of wind loads due to ancillary structures, and characterization of wake effects.</p>
Bloise Mast (m2183)
<b>-- <a href="https://doi.org/10.5281/zenodo.11582199">Documentation</a> --</b><br><br><u>Name</u>: Bloise Mast<br><u>musiXplora-ID</u>: m2183<br><u>musiXplora-URI</u>: <a href="https://musixplora.de/mxp/m2183">https://musixplora.de/mxp/m2183</a><br><u>Gender</u>: m<br><u>First Mentioned</u>: 1821<br><u>Sectors</u>: Instrumentenbau<br><u>Professions (Musical)</u>: Zupfinstrumentenbauer<br><u>Main Place of Activity</u>: Paris<br><br><br><u>Institutionen:</u><br><table><tbody><tr><th>Role</th><th>Title</th><th>mXp-ID</th></tr><tr><td>Related</td><td>Familie Mast</td><td><a href="https://musixplora.de/mxp/3030516">3030516</a></td></tr></tbody></table><br><u>Titel/Medien:</u><br><table><tbody><tr><th>Role</th><th>Sigel</th><th>Title</th><th>mXp-ID</th></tr><tr><td>Related</td><td>Lütgendorff 1922</td><td>Die Geigen- und Lautenmacher vom Mittelalter bis zur Gegenwart. 2 Bände. Lüt2</td><td><a href="https://musixplora.de/mxp/5002059">5002059</a></td></tr></tbody></table><br><br><u>Changelog</u>:<br> - v0.0.1: Initial Upload.<br>
Acorn mast data (1995-2025), Black Rock Forest, Cornwall, NY
Acorn abundance has been tracked annually since 1995 at Black Rock Forest (BRF), Cornwall, NY between September and October to coincide with peak acorn drop. From 1995 to 2010 all acorns were counted within a circular plot thrown 10 times at 15 to 20 locations throughout BRF. Beginning in 2004 individual oak trees were visited and DBH and number of acorns under the drip line of the tree were counted at the same 15 to 20 locations within BRF. Beginning in 2024 four 1-meter square quadrats were used to count acorns under 10 trees at each location.
A two-year intercomparison of CW focusing wind lidar and tall mast wind measurements at Cabauw
<p>Dataset (.csv files) and software (python scripts) for generating figures, including data analysis, in our manuscript "A two-year intercomparison of CW focusing wind lidar and tall mast wind measurements at Cabauw", submitted to Atmos. Meas. Tech.</p>
Negative temporal autocorrelation in mast seeding dynamics positively influences both the long and short-term dynamics of a wild boar population
<p><span>Temporal autocorrelation in environmental conditions influences population dynamics through its effects on vital rates. However, a comprehensive understanding of how and to what extent temporal autocorrelation shapes population dynamics is still lacking because most empirical studies have unrealistically assumed that environmental conditions are temporally independent. Mast seeding is a biological event characterized by highly fluctuating and synchronized seed production at the tree population scale, as well as a marked negative temporal autocorrelation. In the current context of global change, mast seeding events are expected to become more frequent, leading to strengthened negative temporal autocorrelations and thereby amplified cyclicality in mast seeding dynamics with cycles of length 2 years. </span><span>Theory predicts that population growth rates are maximized when the environmental cyclicality of consumer resources and their generation times are closely matched. </span><span>To test this prediction, we took advantage of the long-term monitoring of a wild boar population, a widespread seed consumer species characterized by a short generation time (ca. 2 years). As expected, simulations indicated that its stochastic population growth rate increased as mast seeding dynamics became more negatively autocorrelated. Our findings demonstrate that accounting for temporal autocorrelations in environmental conditions relative to generation time of the focal population is required, especially under global warming where the cyclicality in resource dynamics is likely to change.</span></p>
Picea omorika (Panci?) Mast. (BR0000012243921)
Belgium Herbarium image of <a href="https://www.plantentuinmeise.be">Meise Botanic Garden</a>.
Picea omorika (Panci?) Mast. (BR0000025051407)
Belgium Herbarium image of <a href="https://www.plantentuinmeise.be">Meise Botanic Garden</a>.
Picea omorika (Panci?) Mast. (BR0000025051414)
Belgium Herbarium image of <a href="https://www.plantentuinmeise.be">Meise Botanic Garden</a>.
Physalis alkekengi L. var. franchetii (Mast.) Makino (BR0000010152713)
Belgium Herbarium image of <a href="https://www.plantentuinmeise.be">Meise Botanic Garden</a>.
Physalis alkekengi L. var. franchetii (Mast.) Makino (BR0000012074860)
Belgium Herbarium image of <a href="https://www.plantentuinmeise.be">Meise Botanic Garden</a>.
Physalis alkekengi L. var. franchetii (Mast.) Makino (BR0000010152591)
Belgium Herbarium image of <a href="https://www.plantentuinmeise.be">Meise Botanic Garden</a>.
Physalis alkekengi L. var. franchetii (Mast.) Makino (BR0000010152003)
Belgium Herbarium image of <a href="https://www.plantentuinmeise.be">Meise Botanic Garden</a>.
Physalis alkekengi L. var. franchetii (Mast.) Makino (BR0000010152836)
Belgium Herbarium image of <a href="https://www.plantentuinmeise.be">Meise Botanic Garden</a>.
Reproductive data Fagus sylvatica: Widespread masting breakdown in beech
<p>Climate change effects on tree reproduction are poorly understood even though the resilience of populations relies on sufficient regeneration to balance increasing rates of mortality. Forest-forming tree species often mast, i.e. reproduce through synchronised year-to-year variation in seed production, which improves pollination and reduces seed predation. Recent observations in European beech show, however, that current climate change can dampen interannual variation and synchrony of seed production, and that this masting breakdown drastically reduces the viability of seed crops. Importantly, it is unclear under which conditions masting breakdown occurs, and how widespread breakdown is in this pan-European species. Here, we analysed 50 long-term datasets of population-level seed production, sampled across the distribution of European beech, and identified increasing summer temperatures as the general driver of masting breakdown. Specifically, increases in site-specific mean maximum temperatures during June and July were observed across most of the species range, while the interannual variability of population-level seed production (CVp) decreased. The declines in CVp were greatest where temperatures increased most rapidly. Additionally, the occurrence of crop failures and low-seed years has decreased during the last four decades, signalling altered starvation effects of masting on seed predators. Notably, CVp did not vary among sites according to site mean summer temperature. Instead, masting breakdown occurs in response to warming local temperatures (i.e. increasing relative temperatures), such that the risk is not restricted to populations growing in warm average conditions. As lowered CVp can reduce viable seed production despite the overall increase in seed count, our results warn that a covert mechanism is underway that may hinder the regeneration potential of European beech under climate change, with great potential to alter forest functioning and community dynamics.</p>
Data from: Mast fruiting in a large tropical African legume tree provides evidence for the nutrient resource limitation hypothesis
<p>The large grove-forming tropical tree <em>Microberlinia bisulcata</em> (Fabaceae subfamily Detarioideae) at Korup, Cameroon, shows strong mast fruiting. Reproductive allocation is considerable. The site has very nutrient-poor soil. To test the nutrient resource limitation hypothesis, phenological recordings between 1989 and 2017 were matched with climate variables and analyzed using logistic time-series regression. Masting happened mostly on 2- or 3-year cycles. A strong predictor was mean daily rainfall in the dry season: low in the current year of masting and high in the year prior. Less strongly predictive was the increase in dry season radiation between prior and mast years. Masting events showed no relationship to annual stem increment, nor with local plantation yields. Later, the normally heavy mastings became moderate after two attacks by caterpillars. Collated studies of fallen leaf nutrient concentrations showed that P increased markedly, K rose and fell, but N and Mg changed little, in the inter-mast interval. P and K were likely being accumulated and stored and then triggered masting events when internal thresholds were crossed. The drier season prior to masting enabled a rise in C, and the wetter season the year before, with higher soil moisture, enabled better acquisition and uptake of nutrients by roots and mycorrhizas. The main storage of P may be in bark and branches, that for K on soil organic-colloids. A rooting-fruiting trade-off in C allocated over a minimal 2-year cycle is implied. The hypothesis is that synchrony among masting trees may be achieved, in part, by equilibration of P across the mycorrhizal network. The long-term driver appears to be the inherent year-to-year stochasticity of dry-season rainfall, the realization of which leads to an important refinement of the hypothesis. Life history strategy linked to nutrient resource dynamics provides a plausible explanation and more advanced hypothesis for the masting events observed.</p>
Winds and temperature observations from Munch Mast in Bjørvika (Oslo, Norway)
<p>Measurements made from the Munch Mast in Bjørvika (Oslo, Norway)</p> <p>Naming convention for the input filename:</p> <p>YYMMDDHH</p> <p>where</p> <p>- YY is the year (two last digits only)<br> - MM is the month<br> - DD is the day<br> - HH is the time (24 hours time)</p> <p>For instance:<br> 18030102.TXT</p> <p>corresponds to data from the 1st March 2018 at 2am.</p> <p>Sensors have been placed at different locations and different heights:</p> <p>Temperature:<br> 12BE --> 2m<br> C67D --> 10m<br> 997B --> 30m<br> DB6E --> 50m<br> 27B0 --> 65m<br> Bf8E --> 75m</p> <p>Wind:<br> a --> 10m<br> b --> 30m<br> c --> 75m (to be removed because it is wrong).<br> </p> <p><br> a wind_speed (m/s) wind_direction air_temperature (C) average_meridional_wind_speed average_zonal_wind_speed variable</p> <p>variable: Maximum gust wind in m/s since the last interrogation</p> <p>wind_direction: in degrees relative to a northward heading</p> <p> with the sign between each variables (such as a+1.4 or a-1.4)</p> <p>All data are raw data and to be usable the temperature needs to be corrected (to be retrieved to the raw value of the temperature):</p> <p>10m --> -6e-06T + 0.0623<br> 30m --> -0.0072T + 0.1849<br> 50m --> 0.0074T -0.2795<br> 65m --> 0.0037T -0.0429<br> 75m --> 0.0005T + 0.0609</p> <p>Tcorrected = T - Tcorrection</p>
Abies x vilmorini Mast. (BR0000009238831)
Belgium Herbarium image of <a href="https://www.plantentuinmeise.be">Meise Botanic Garden</a>.
Abies sachalinensis Mast. (BR0000024497121)
Belgium Herbarium image of <a href="https://www.plantentuinmeise.be">Meise Botanic Garden</a>.
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Allen Brain Atlas
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DANDI Archive for NWB datasets
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OpenNeuro
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