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70 results for “Forest Environment”
Light Environment in Hemlock Removal Experiment at Harvard Forest since 2003
The impending loss of hemlock trees due to hemlock woolly adelgid (Adelges tsugae) infestation is expected to lead to changes in the light environment of the forest understory. These changes will both drive succession and will themselves be altered by successional processes. The light reaching the forest floor is measured using hemispherical canopy photographs. Photographs were taken in summer of 2003 and in December 2004 and May 2005 (both deciduous-tree leaf-off condition), prior to the application of the logging and girdling treatments, and then in September 2005 (deciduous tree leaf-on condition) after logging and girdling. Subsequent photographic series will be taken annually in spring (leaf-off) and summer/fall (leaf-on).
Environment and History in a Rich Mesic Forest in Western Massachusetts 1999-2001
In rich mesic forests, modern vegetation varies among primary versus post-agricultural, secondary forests, in part as a result of differential rate and ability of forest herbs to colonize after disturbance. Species with seeds lacking morphological adaptations for dispersal (barochores) and those which produce seeds with elaisomes to encourage ant dispersal (myrmecochores) may remain less frequent in secondary forests for decades or more.
Physical environment of the Luquillo Forest Dynamics Plot (LFDP), Puerto Rico
This file contains data that describe the physical and environmental attributes of the LFDP. The attributes include elevation, topography type, and percentage slope. All data are given for the 20 m by 20 m quadrat scale. Information on soils are taken form an interpolation of the soil map produced by the Natural Resources Conservation Service, US Department of Agriculture (Soil Survey 1995). Other information from the elevation of each of the corner posts defining the quadrats.The National Science Foundation requires that data from projects it funds are posted on the web two years after any data set has been organized and “cleanedâ€. The data from each census of the LFDP will be updated at intervals as each survey of the LFDP shows errors in the previous data collection. After posting on the web, researchers who are not part of the project are then welcome to use the data. Given the enormous amount of time, effort and resources required to manage the LFDP, obtain these data, and ensure data accuracy, LFDP Principal Investigators request that researchers intending to use this data comply with the requests below. Through complying with these requests we can ensure that the data are interpreted correctly, analyses are not repeated unnecessarily, beneficial collaboration between users is promoted and the Principle Investigators investment in this project is protected. Support for this work was provided by grants BSR-8811902, DEB-9411973, DEB-9705814 , DEB-0080538, DEB-0218039 , DEB-0620910 , DEB-1239764, DEB-1546686, and DEB-1831952 from the National Science Foundation to the University of Puerto Rico as part of the Luquillo Long-Term Ecological Research Program. Additional support provided by the University of Puerto Rico and the International Institute of Tropical Forestry, USDA Forest Service.
Figures 5–10 in Scopaeus saotomensis spec. nov., a flightless rove beetle from the Island of São Tomé (Coleoptera: Staphylinidae: Paederinae: Lathrobiini) - Isolation and adaptation in a dark, humid, tropical forest environment
Figures 5–10. Scopaeus saotomensis, holotype, República Democrática de São Tomé e Príncipe, São Tomé, Lagoa Amelia; aedeagus in lateral (5), ventral (6), dorsal (7) view; abdominal sternite VII (8); abdominal sternite VIII in ventral (9) and lateral (10) view. Abbreviations: dl – distal lobes (apical lobes and dorsal lobe not distinguishable), f – flagellum, ll – lateral lobes, mf – median foramen, mtf – median tooth of flagellum, p – parameres, sl – groups of setae of lateral lobes, sp – setae of phallobase, vdl – ventrodextral, lobiform enlargement of distal lobes, vl – ventral lobe.
Figure 1 in Scopaeus saotomensis spec. nov., a flightless rove beetle from the Island of São Tomé (Coleoptera: Staphylinidae: Paederinae: Lathrobiini) - Isolation and adaptation in a dark, humid, tropical forest environment
Figure 1. Habitus of Scopaeus saotomensis, holotype, República Democrática de São Tomé e Príncipe, São Tomé, Lagoa Amelia.
Figures 2–4 in Scopaeus saotomensis spec. nov., a flightless rove beetle from the Island of São Tomé (Coleoptera: Staphylinidae: Paederinae: Lathrobiini) - Isolation and adaptation in a dark, humid, tropical forest environment
Figures 2–4. Scopaeus saotomensis, lateral aspect exhibiting basal depressions of abdominal tergites (upper arrows), basal constrictions of abdominal sternites (lower arrows), and stridular file on dorsolateral surface of metaventrite (2); enlarged view of stridular file (3); plectral ridges on posterior surface of base of mesothoracic leg (4).
Fig. 7 in Interpreting the condition of the forest environment with use of the SCP/MIB model of carabid communities (Coleoptera: Carabidae)
Fig. 7. The effect of fertilization, liming and soil acidification of the soil of the old coppices on Carabidae communities. Explanation of abbreviations please see in the text.
Fig. 4 in Interpreting the condition of the forest environment with use of the SCP/MIB model of carabid communities (Coleoptera: Carabidae)
Fig. 4. The effect of unevenaged forest stands fires on their Carabidae communities in Ostrow Mazowiecka
Fig. 5 in Interpreting the condition of the forest environment with use of the SCP/MIB model of carabid communities (Coleoptera: Carabidae)
Fig. 5. The effect of unevenaged forest stands fires on their Carabidae communities in Solec Kujawski
Fig. 3 in Interpreting the condition of the forest environment with use of the SCP/MIB model of carabid communities (Coleoptera: Carabidae)
Fig. 3. The SCP/MIB model presenting the development of the Carabidae communities as taking part in the course of the Scots pine forest stands production cycle, in the post arable ground (dotted line) and in the forest soil (solid line). Denotations I. Post arable grounds: A – arable ground, A1 - 2-6- year old forest cultures, A2 - 8-14 year old coppices, Pdc3 - 18-year old coppices, A4 - 25-year-old forest stands, A5 - 33-62-year old forest stands, A6 – old growth (98-year old) forest stands. II. Forest grounds: F1 - 2-3- year old forest cultures, F2 - 6-11- year old coppices, F3 - 18 22-year old forest stands, F4 - 25-42- year old forest stands, F5 - 62-98 year old forest stands.
Figure 1Sampling site and stations.1A in Living in the sunlight: micro-environments with higher exposure of sunlight have more abundance and diversity of Hymenoptera in a Brazilian Atlantic Forest fragment
Figure 1Sampling site and stations.1A) Study area including the RAPELD modules.Each black point represents a permanent plot.1B) Trap-nest stations and selected micro-environments: treefall gap (A), placed in wooden post at 1.5m height; understory (B), placed in a tree branch at approximately 1.5 meters height; canopy (C), suspended with thread in a tree (height between 19.0 and 9.1 meters).
Figure 2 in Living in the sunlight: micro-environments with higher exposure of sunlight have more abundance and diversity of Hymenoptera in a Brazilian Atlantic Forest fragment
Figure 2 Interpolation curves of the richness and diversity of trap-nesting Hymenoptera (Atlantic forest, Brazil) in relation to the lowest observed abundance brood cells sampled and assessed for three Hill numbers (0, 1 e 2). CAN= canopy; GAP= treefall gap; UND= Understory.
Supplementary Material - Marine animal forests in turbid environments are overlooked seascapes in urban areas
<p>Figures S1, S2, and S3 of the manuscript "Marine animal forests in turbid environments are overlooked seascapes in urban areas" accepted in the open-access journal Ocean and Coastal Research (Soares et al. 2023)</p>
Data for: Positive impact of postfire environment on bumble bees not explained by habitat variables in a remote forested ecosystem
<p>Bumble bees are important pollinators in temperate forested regions where fire is a driving force for habitat change, and thus understanding how these insects respond to fire is critical. Previous work has shown bees are often positively affected by the post-fire environment, with burned sites supporting greater bee abundance and diversity, and increased floral resources. The extent to which fire impacts variation in bumble bee site occupancy is not well understood, especially in higher latitude regions with dense, primarily coniferous forests. Occupancy models are powerful tools for biodiversity analyses, as they separately estimate occupancy probability (likelihood that a species is present at a particular location) and detection probability (likelihood of observing a species when it is present). Using these models, we tested whether bumble bee site occupancy is higher in burned locations as a result of the increase in canopy openness, floral species richness, and floral abundance. We quantified the impact of fire, and associated habitat changes, on bumble bee species' occupancy in an area with high wildfire frequency in British Columbia, Canada. The burn status of a site was the only significant predictor for determining bumble bee occurrence (with burned sites having higher occupancy); floral resource availability and canopy openness only impacted detection probability (roughly, sample bias). These findings highlight the importance of controlling for the influence of habitat on species detection in pollinator studies and suggest that fire in this system changes the habitat for bumble bees in positive ways that extend beyond our measurements of differences in floral resources and canopy cover.</p>
Fig. 4 in Red wood Ants (Formica rufa-group) prefer mature pine forests in Variscan granite environments (Hymenoptera: Formicidae)
Fig. 4 – Numbers of RWA nests versus medium tree age of primary tree species (TS) for a) MGBSF and b) FBBSF
Fig. 2 in Red wood Ants (Formica rufa-group) prefer mature pine forests in Variscan granite environments (Hymenoptera: Formicidae)
Fig. 2 – Tectonic setting of both study areas with a, major tectonic units, faults (black lines) taken from literature (see list under reference section geological maps), b, detailed geologic setting of the Münchsgrün (MG), and c, Falkenberg (FB) study areas with FB forest sections (1-8). In MG area, the older Mitterteich/Steinwald Granite is overlain by Miocene/Pliocene basin-filling sediments.
Fig. 3 in Red wood Ants (Formica rufa-group) prefer mature pine forests in Variscan granite environments (Hymenoptera: Formicidae)
Fig. 3 – In total mapped areas (MG tot; FB tot) and mapped areas within the borders of BSF (MGBSF; FBBSF) for a) MG and b) FB study area.
Fig. 5 in Red wood Ants (Formica rufa-group) prefer mature pine forests in Variscan granite environments (Hymenoptera: Formicidae)
Fig. 5 – Nest height classes[m] versus type of nest material (%) for a, c, spruce, and b, d, pine as primary tree species (TS) in MGBSF and FBBSF.
Fig. 1 – a in Red wood Ants (Formica rufa-group) prefer mature pine forests in Variscan granite environments (Hymenoptera: Formicidae)
Fig. 1 – a, Position of both study areas within Germany close to the Czech border; b, detailing location in the Oberpfälzer Lake district in Tirschenreuth county, NE Bavaria.
Fig. 8 – a in Red wood Ants (Formica rufa-group) prefer mature pine forests in Variscan granite environments (Hymenoptera: Formicidae)
Fig. 8 – a, Spatial distribution of mapped RWA nests in FBBSF based on the 1m DTM provided by the LDBV (2008/2009). Black square indicates a striking radial nest distribution pattern that can be explained by b, "onion-like" joints forming in the granite, as can be seen in the former quarry beneath the ruin Flossenbürg castle, approx. 14.5 km southeast of the FB Study area. Photo credit: M. Gibhardt.
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.