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907 results for “pine”
Ungulate-Forest Interactions in Partially Harvested Oak-Pine Stands in Central Massachusetts 2009
Ungulates are attracted to forest openings created by natural disturbance and timber harvesting due to the abundance of high quality browse in these openings. Despite the increased activity and browsing of ungulates in forest openings, the importance of browsing relative to abiotic factors such as light on forest regeneration is often unclear. In southern New England, medium-intensity harvesting is the predominant forest disturbance attracting white-tailed deer and moose. Oaks are the foundation hardwood taxon and predominant timber tree in the region and are in decline. Hence, the effects of ungulate browsing on oak forests are of great interest to ecologists, conservationists and forest and wildlife managers. We sampled tree regeneration and ungulate foraging activity across a range of canopy disturbances (35-90% basal area removed) in 34 stands of the Quabbin and Ware River Watershed Forests. Browsing was very high across the plots with about 80% of red maple and oak stems browsed. Taller stems were generally browsed more frequently than shorter stems. Oak regeneration in the smaller size classes was generally lower in stands with higher percent cover of hay-scented fern. The proportion of browsed red maples and oaks generally increased with increasing density of these taxa. Despite intensive herbivory, oaks appear to be regenerating well with increased light in these partially harvested stands.
White Pine Needle Decline in Walden Woods and Weston MA 2017-2018
White Pine Needle Decline (WPND) is a suite of four fungal pathogens that attack third, second and in extreme cases first year needles of eastern white pine (Pinus strobus). Premature needle shedding reduces photosynthetic activity and in turn reduces growth rates and overall health of the eastern white pine, an ecologically and economically valuable species in the Northeast United States. Our long-term forest dynamics plots in Weston and Walden Woods are ideal for monitoring these pathogens’ effects on overstory and understory pine. The unique aspect of our study sites is the dense population of understory pine. Many of our plots are typical old-field white pine stands and are densely stocked from lack of cutting. Densely stocked stands have been shown to be more affected by WPND than more open stands (McIntire, 2017).
Density Anomalies in White Pine at Harvard Forest 2019
The density of wood is a primary determinant of the amount of carbon sequestered in forests. For boreal and Mediterranean ecosystems, anomalies from the typical intra-annual density increase in radial growth of conifers are predominantly related to drought. We took 41 wood samples at breast height, ten additional samples near branches, and seven samples from the top of 41 white pines to determine the spatial distribution of density anomalies throughout the stem. We measured the ring width, density anomaly presence, position within a ring, and arc of density anomalies at multiple heights. Even in a mesic forest density anomalies in white pine are predominantly occurring during drier growing seasons. Moreover, we examined the spatial extent of density anomalies within the stems of white pines and discovered density anomalies are more likely to occur near branches, at the top of the tree, and in wider rings. Furthermore, the position of the density anomalies within the rings was remarkably consistent with the anomalies occurring roughly 80% into the fully formed ring at all heights for high-frequency years only as well as all years Density anomalies seem to be triggered by exogenous factors but their distribution within the stem varies along endogenous gradients, thus better understanding these systematic anomalies can help us to understand how wood formation has reacted and will respond to the environment and changes therein.
White Pine Girdling and Compression Experiment at Harvard Forest 2017-2019
Wood formation is a crucial process for carbon sequestration on land, yet how variations in phloem-transported carbon affect wood formation, respiration and nonstructural carbon pools remains poorly understood. To better understand the role of carbon supply on allocation to wood formation, we constrained phloem transport using girdling and compression around the stem of 40 mature white pines to monitor the effects of contrasting carbon supply (enriched above and reduced below the manipulations) on local wood formation and respiration, as well as on nonstructural carbon pools in needles, stems, and roots. This data set contains all data measured during the experiment. This includes wood anatomy, xylogenesis, stem respiration, nonstructural carbon measurements in coarse roots, stems and needles, as well as pre-dawn water potential measurements and pressure measurements from underneath the phloem compression collars. Furthermore, we provide allometric measurements for all trees. The code to process these data and reproduce our results is available in hf348-14-density-anomaly-analysis-code.zip. For more details pertaining to the methods see Rademacher et al. (2021).
Impacts of Phloem Chilling and Compression on Mature White Pine at Harvard Forest 2018
Wood formation is a crucial process for carbon sequestration on land, yet how variations in phloem-transported carbon and temperature affect wood formation, respiration and nonstructural carbon pools remains poorly understood. To better understand the role of carbon supply on allocation to wood formation, we constrained phloem transport using compression and chilling around the stem of 15 mature white pines to monitor the effects of contrasting carbon supply (enriched above and reduced below the manipulations) on local wood formation and respiration, as well as on nonstructural carbon pools in stems and roots. This data set contains all data measured during the experiment. This includes wood anatomical, xylogenetic, dendrochronological, stem CO2 efflux, and nonstructural carbon measurements in coarse roots and stems, as well as pre-dawn water potential measurements of needles and branches. Furthermore, we provide basic allometric measurements for all trees. The code to process these data and reproduce our results is available at https://github.com/TTRademacher/Exp2018Analysis. For more details pertaining to the methods see Rademacher et al. (2021) and contact the investigator.
White Pine Blister Rust (WPBR) Plot Data from the Western United States
As one of North America’s most damaging tree diseases, white pine blister rust (WPBR) is expected to continue to affect high-elevation five-needle (High-5) pine species in the near future. In order to better understand and estimate the risk it poses to white pines, data was compiled from independent studies across the Western U.S. from 1983-2025. This WPBR disease occurrence data includes nearly 6700 points, which were classified into two epidemic types: established or invading, based on the disease intensity value and the amount of time the disease had been present in the area.
Dataset on tree diversity metrics and aboveground carbon storage in Southeastern U.S. oak-pine forests, 2009–2019
This dataset contains measurements of tree structural and taxonomic diversity, stand attributes, and aboveground carbon storage from mixed oak-pine forests in Florida, Georgia, and Alabama, located in the southeastern United States. Data were collected from 946 mixed oak-pine, and 7224 longleaf-slash pine and oak-pine Forest Inventory and Analysis (FIA) plots respectively spanning the years 2009 to 2019. Variables include aboveground carbon, aboveground biomass, tree density, basal area, stand age, and diversity metrics such as Shannon indices for tree species and diameter-based structural classes. Functional diversity metrics—including functional dominance and functional divergence—are also included. These data were used to support a published study examining the interactive effects of diversity metrics on carbon storage using structural equation modeling. The geographic coverage represents humid subtropical forest regions of the southeastern U.S.
Bird and forest communities in a northern Michigan jack pine stand before and after logging, 2013-2018
This package contains data associated with documentation of breeding-season bird communities in a dry, jack pine and mixed red pine-jack pine forest in Marquette Co., MI. In addition to repeated surveys, 2014-2018, of bird presence in a network of 45 study plots, the package includes vegetation data collected on the same plots 2013-2017. At initiation of the study, the stand was >100 years old and had experienced little or no active management. During the study period, stands were thinned to reduce fire risk, and most jack pine were cut; three plots fell in a control area with no logging. Bird communities and vegetation were sampled repeatedly before and after management activities. Subsequent to the study period, a managed burn affected much of the study area.
Ants in the New York Pine Barrens 2012-2013
Ants are ecologically important, environmentally sensitive, widespread, and abundant, yet ant assemblages of many habitats remain poorly understood. This is true of inland pine barrens in the northeastern United States. In the Northeast, such barrens support uncommon ant species and high species density for the region. Ants in inland barrens of New York State barely have been studied. To increase knowledge of these assemblages, I systematically collected ants from three NY inland barrens and investigated how hiking trails--a common man-made disturbance--may be impacting ant assemblages in these early-successional, disturbance-dependent ecosystems. My data strongly indicate uncommonly high densities of ant species in NY pine barrens, including the most northern known occurrences of two species, and show that hiking trails alter ant assemblage composition and species density.
Rates and controls of nitrogen fixation in post-fire lodgepole pine forests, Greater Yellowstone Ecosystem, 2022
This dataset contains all the contents needed to reproduce the calculations and analyses done in the original paper associated with this dataset (Heumann et al. 2025 Ecology). The primary method used in this study was the Acetylene Reduction Assay (ARA) which measures the rate at which acetylene is reduced to ethylene in nitrogen-fixing organisms as a proxy for nitrogen fixation activity. We measured acetylene reduction rates in multiple cryptic niches (i.e., lichen, moss, pine litter, dead wood and mineral soil) in 34-year-old lodgepole pine stands in the Greater Yellowstone Ecosystem to explore the rates, temporal patterns, and climate controls on cryptic N fixation. Thus the foundation of this dataset is ethylene production rate measurements. All the data tables in this dataset contain either measured ethylene production rates or estimates of N fixation scaled from those ethylene production rates. Included with this are various physical measurements (e.g. dry mass, moisture content, incubation temperatures) that we included in our analyses in order to either scale up rates of N fixation using biomass estimates from field sites or explore temperature and moisture relationships with nitrogen fixation activity under controlled conditions. Included with this dataset are three R studio scripts used to run the calculations and analyses reported in the manuscript publication from this study.
Effects of ectomycorrhizal fungi on pine litter decomposition in temperate pine forests in California, Florida, and Minnesota
This experiment is designed to assess the generality of the effect of ECM fungi on leaf litter decomposition in temperate pine forests. To assess ECM fungal effects on decomposition, we established and ECM fungal knockdown experiment (via trenching) in nine temperate pine forests in California, Florida, and Minnesota. In litter bags incubated (July 2021-July 2022) in paired trenched and untrenched plots at each site we compared leaf litter decomposition (of native pine litter and a common Pinus strobus litter), fungal community composition (via high throughput sequencing), fungal abundance (via qPCR), decomposition enzyme expression, and soil nutrient availability. Contrary to widely cited theory and other results from a subset of our field sites, we found that ECM fungi either increased or did not impact pine litter decomposition in temperate pine forests.
Point cloud data from terrestrial laser scanning for stem volume modelling of Scots pine trees
<p>Stem volume is a key forest inventory attribute characterizing growth and yield of individual trees and forest stands. Three-dimensional information from terrestrial laser scanning (TLS) can be used to reconstruct tree stems and provide information on stem volume as well as stem shape. We collected diameter at breast height and height information with traditional field measurements as well as preprocessed TLS point cloud data on 230 Scots pine trees (<em>Pinus sylvestris L.</em>) from southern Finland. The data set here includes three-dimensional information on Scots pine tree stems derived from TLS point clouds. The usage of this data set can include, but is not limited to, development of point cloud processing algorithms for single tree stem reconstruction and investigations of of stem volume modelling for Scot pine. </p> <p>This data set includes two files: Scots_pines.txt includes DBH and height information based on field measurements from the 230 Scots pine trees. File includes the following columns: treeID, DBH, and h, where DBH is presented in cm and h (i.e. tree height) in m. Stem_points.zip, on the other hand, includes 230 laz-files where figure in the name of the laz-file refers to the tree ID in Scots_pines.txt-file. Laz-files include three columns that describe x, y, and z, coordinates (in meters) of stem points in a local coordinate system extracted from the normalized TLS point clouds (i.e. z coordinate describes height above ground).</p>
NLL-SSST-coherence earthquake relocation catalogs for the Parkfield and Lone Pine, California earthquake sequence.
<p>CSV tables of the final, NLL-SSST-coherence earthquake relocation catalogs for the Parkfield and Lone Pine, California earthquake sequence.</p> <p>These datasets are from relocations presented in the article<br> High-precision, earthquake location using source-specific station terms and inter-event waveform similarity<br> submitted to Journal of Geophysical Research Solid Earth</p> <p> </p> <p> </p>
Below-ground hydraulic constraints during drought-induced decline in Scots pine
<p>Dataset from the paper 'Below-ground hydraulic constraints during drought-induced decline in Scots pine'.</p> <p><strong>Files:</strong></p> <p>DOY refers to day of year 2012, idtree is tree identity and Class is defoliation class. Tree characteristics can be found in the supplementary materials of the paper. Variables are expressed in the same units as in the paper.</p> <p><em>WaterPotentials.csv</em> - water potential data (predawn, PD, midday MD, difference)</p> <p><em>SapFlowDeltaPResistbc.csv</em> - daily sap flow per unit leaf area (Jl_daily), delta pressure (deltaP), VPD,SWC, belowcrown resistance (r_bc).</p> <p><em>Resistbc_percent.csv</em> - below-crown resistance as a percentage of total tree resistance</p> <p> </p>
Mycorrhizal Fungi of Native Red Pine Stands in the Forests of the Huron Mountains (1996-2015).
This data includes mycorrhizal fungi population data in Michigan’s Huron Mountains from 1996-2015 collected by Dana Ritcher. Seven stands consisting of primarily pine forests were surveyed for two separate sampling periods annually during the study period.
Permanent plot data for old-growth white pine - hemlock - hardwood forests in the Huron Mountains, Marquette County, Michigan: 2006-2022
This study was initiated by Dr. Dennis A. Riege with a focus on the role of white pine (Pinus strobus) in old-growth mixed white pine-hemlock-northern hardwood forests. Study areas within the lands of the Huron Mt. Club were selected for prominent presence of canopy white pine. Several permanent study plots, totaling about 3.3 ha, were established, with all trees >5 cm diameter at breast height (dbh) identified, mapped and measured. Initiatl establishment was from 2006-2008. All plots were remeasured in 2011, 2016 and 2021-22. Mortality and new recruits were documented in remeasurements. Reference coordinates for each plot are included in 'Methods'. Data tables in this package include all of these measurements. Additional information, including maps of downed logs, is included in material included under 'other entities'.
Bird Communities in Fragmented, Non-Native Pine Plantations in the Oak Openings Region of Northwest Ohio
Comprehensive surveys, while preferred, are not always feasible due to time, logistical, and funding constraints. However, limited surveys of focal taxa, such as birds, coupled with vegetation surveys, can provide critical information to guide land management. In the 1930s non-native conifers were planted in the Oak Openings Region of northwestern Ohio, a biodiversity hotspot. The stands are declining, and management is needed, but restoration to native habitat is time consuming and expensive. Our research utilized an avian perspective of ecological function of introduced pine plantations versus native remnants to guide management. We surveyed bird activity May through July 2020 with point-counts in nine sites (1.3-2.3 ha) with three each of white pine, red pine, and oak forest sites. At each site, we estimated bird richness, abundance, and diversity, as well as structural characteristics (e.g., canopy cover), composition (e.g., vegetation types), and landscape context (e.g., landcover). Superficially, the pine sites appear to be beneficial as pine habitat for breeding birds, with high Simpson’s indices (up to 0.89) and high species richness compared to oak sites. However, our results reveal that the pines are not truly functioning as pine habitat for birds based on the limited occurrence of pine specialist species, proportion of generalists to pine specialists, and landscape context. Simple measures of diversity with no consideration as to species identity and without the environmental context fail to provide reliable measures of ecological value. Instead, we recommend selective sampling and consideration of landscape context, vegetation structure, and species classification to guide management.
Determinants of flammability in the critically imperiled pine rocklands of Long Pine Key, 2021-2023
The distribution of plant functional trait values across environmental gradients reflects species’ adaptations to local abiotic conditions. Here, we measured plant composition and plant functional traits in 272 1m2 plots across an elevational and hydrological gradient on Long Pine Key in Everglades National Park between 2021 to 2023. At each site we measured average water depth, elevation, burn frequency, and species richness. We also measured the specific leaf area (SLA), leaf dry matter content (LDMC), leaf area (LA), maximum burn temperature (Temp_C), time to ignition (Ignite) and its inverse (IgniteINV), burn duration (Time), and percent burned (Percent) of five individuals of each species found within our plots. We then used the plant functional trait values SLA, LDMC, and LA, to calculate the CSR value of each plant species found within our plots following the methodology outlined in Pierce et al. (2016). We used these data to determine the distribution of trait values across Long Pine Key and to test for correlations between classic plant functional traits and plant flammability traits. Pierce, S., D. Negreiros, B. E. Cerabolini, J. Kattge, S. Díaz, M. Kleyer, B. Shipley, S. W. Wright, N. A. Soudzilovskaia, V. G. Onipchenko, P. M. van Bodegom, C. Frenette-Dussault, E. Weiher, B. X. Pinho, J. H. C. Corelissen, J. P. Grime, K. Thompson, R. Hunt, P. J. Wilson, G. Buffa, O. C. Nyakunga, P. B. Reich, M. Caccianiga, F. Mangili, R. M. Ceriani, A. Luzzaro, G. Brusa, A. Siefert, N.P.U. Barbosa, F. S. Chapin III, W. K. Cornwell, J. Fang, G. W. Fernandes, E. Garnier, S. Le Stradic, J. Peñuelas, F. P. L. Melo, A. Slaviero, M. Tabarelli, D. Tampucci. 2017. “A global method for calculating plant CSR ecological strategies applied across biomes world‐wide.” Functional ecology 31: 444-457.
Factors Influencing Aboveground Carbon Storage in Mixed Oak-Pine Forests: USDA FIA Data from Southeastern U.S. (2009-2019)
This study explores factors affecting aboveground carbon (AGC) storage in mixed oak-pine forests across the Southeastern United States. Utilizing USDA Forest Inventory and Analysis (FIA) data from 2009 to 2019, the research spans nine states: Alabama, Mississippi, Florida, Georgia, North Carolina, South Carolina, Texas, Louisiana, and Virginia. Data processing in R included converting units to the metric system and calculating structural diversity using Shannon diversity indices. Climate data from the PRISM Climate Group were integrated with FIA data using longitude and latitude. The research aims to uncover how various factors influence AGC storage and contribute to informed forest management practices.
RustMapper: White Pine Blister Rust Risk in the Western United States, 1980-2023
White pine blister rust (WPBR) is a highly destructive disease threatening high-elevation five-needle white pines across North America. To better understand risk patterns, we analyzed data from independent studies conducted across the western U.S. between 1995 and 2020. Using this data, we assessed WPBR risk for high-elevation five-needle pine species (High-5) from 1980 to 2023, integrating the results into the adaptive management tool "RustMapper." These projections estimate the annual probability of WPBR occurrence, providing valuable insights for monitoring and management. Risk ranges from 0 to 1, and values closer to 1 indicate a higher likelihood of disease occurrence based on conditions.
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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.