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3,249 results for “national parks”
Pollen and charcoal from Tolhuaca National Park, south-central Chile
<p><strong>Aim: </strong>Few paleoenvironmental studies have been performed in <em>Araucaria-Nothofagus</em> forests, which are highly vulnerable to ongoing threats from climate change and anthropogenic activities. The primary goal of this work is to reconstruct past environmental changes related to fire disturbances over the last 1800 years in Tolhuaca National Park, Chile.</p> <p><strong>Location: </strong>Tolhuaca National Park, Araucanian region (38.2°S; 71.8°W), Northwestern Patagonia, Chile.</p> <p><strong>Taxa: </strong><em>Araucaria araucana </em>(Araucariaceae)<em>, Nothofagus </em>spp. (Nothofagaceae).</p> <p><strong>Methods:</strong> We completed charcoal and pollen analyses to create two new paleoecological records that span 1800 years. We compared the lake-based reconstruction with the available local tree-ring fire scar chronologies from the last 430 years. Using these data, we compute forest index changes, biomass burning trends, and compare with estimates of archaeological radiocarbon density. We place our inferences with context of published regional paleoclimatic proxies from the Patagonian-Andean region.</p> <p><strong>Results: </strong>Our results showed that fire activity was higher than present between 200 and 1500 CE, with peaks around 200-400 CE and 1100-1500 CE. Periods with high fire activity are associated with reduced forest cover, as <em>Araucaria </em>declined when mixed-severity fire regime occurred for extended periods. Pollen assemblages suggested a shift from dry to wet climate conditions at 1500 CE, and from 1750 CE onward, the arrival of exotic species reflected the land-use changes related to forest clearance and transhumance practices.</p> <p><strong>Main conclusions</strong>: The paleoenvironmental reconstructions showed changes in vegetation, fire, and climate over the past 1800 years in TNP. Wildfires have been the main disturbance process modifying the vegetation structure in the <em>Araucaria</em> and <em>Nothofagus</em> forests. Since 1750 CE intensive post-Hispanic land-use changes (forest clearances by fire and logging) took place in the study area, reducing the native vegetation cover. Climate variability, modulated by SAM-like and ENSO-like conditions, influenced the fire activity (availability and flammability of fuels), concomitantly with high archaeological density. The recent (after 2000 CE) increase of catastrophic wildfires may negatively affect the conservation strategies of <em>Araucaria-Nothofagus</em> forests.</p>
Seasonality in functional connectivity: A case study with the American marten in Forillon National Park
<p>Protected areas are essential tools for reducing global biodiversity loss. To fulfill their ecological functions, protected areas must be connected to their surroundings, a requirement that is difficult to meet in landscapes intensively disturbed by anthropogenic activities. Therefore, protecting movement corridors at the edges of protected areas is crucial, especially for species with broad habitat needs, such as the American marten (<em>Martes americana</em>). However, habitat selection and space use patterns are dynamic processes, so we could expect that functional connectivity would vary temporally in response to changing environmental conditions and levels of human activities. In this study, we aimed to predict the location of movement corridors for the American marten in Forillon National Park and its periphery during two contrasted periods (snow-free: May–November; snow-covered: December–April). We used "seasonal" resource selection functions to identify core areas (interpreted as circuit "nodes") and CircuitScape to delineate movement corridors between them based on the electrical circuit theory. Habitat selection patterns differed between periods, with martens avoiding open areas, high elevations, and road proximity during the snow-free period, while avoiding areas closer to secondary roads but selecting areas closer to primary roads and housing structures during the snow-covered period. Consequently, the location of movement corridors differed partially between periods; functional connectivity was favored by the presence of forest patches for both periods, while being constrained by open environments, especially during the snow-free period. Our study highlights the importance of modeling functional connectivity at fine temporal scales to provide movement corridors that fulfill the requirements of a species at each period of its annual cycle.</p>
Map 1 in Genus Chimarra Stephens, 1829 (Insecta: Trichoptera: Philopotamidae) from Suntalekhola Biodiversity Camp, Neora Valley, National Park, West Bengal
Map 1. Location of collection site in West Bengal.
The Highs and Lows of Grazing: Effects of Ungulates and Elevation on Grassland and Sagebrush Steppe Vegetation Composition in Yellowstone National Park
<p>Yellowstone National Park’s Northern Range is emblematic for the wolves, bison and elk that inhabit its grassland and sagebrush-steppe habitats. Their interactions and populations have been the focus of considerable conservation debate. Recent changes in ungulate populations provide an opportunity to examine their influence on the vegetation communities. We conducted expansive vegetation surveys along an elevation gradient and at exclosure sites where ungulates were unable to graze. We collected a large database (n = 620 quadrats), which we analyzed using classic community ecology approaches. We found that non-native species have higher abundances at low elevations, and that grazing by ungulates reduces beta diversity and native cover, while promoting non-native cover. The magnitude of these changes are greater in bison-dominated than elk-dominated areas of Yellowstone, suggesting that bison may be overgrazing. These results provide valuable insights into major factors shaping vegetation communities, while also contextualizing management practices in a world-renowned ecosystem.</p> <p> </p> <p>Please respect licensing, and contact the corresponding author for permission to use this dataset in any research or publications. </p>
Vegetation pictures, Alpine grasslands at the Nivolet Plain, Gran Paradiso National Park, Italy 2017-2023
<p>This dataset presents vegetation pictures collected at the Nivolet Plain in Gran Paradiso National Park (GPNP), western Italian Alps, between 2017 and 2023.</p> <p>This collection is linked to the dataset named "Net Ecosystem Exchange, Ecosystem Respiration and meteoclimatic data of Alpine grasslands at Nivolet Plain, Gran Paradiso National Park, Italy 2017-2023" (https://zenodo.org/doi/10.5281/zenodo.7590917) already published in the Zenodo Community "IGG-CNR Critical Zone Observatories".</p> <p>For each measurement, a picture was taken from a nadir perspective, aiming at monitoring the vegetation within the measurement area.</p> <p>The collection is organised as follows.</p> <ul> <li>Main folder: NIVOLET_YEAR (e.g., NIVOLET_2023) <ul> <li>Subfolder: SITE-NAME_YEAR(yyyy format)_MONTH(mm format)_DAY(dd format) (e.g., AL_2023_06_15) <ul> <li>Images: SITE-NAME_YEAR(yyyy format)_MONTH(mm format)_DAY(dd format)_NEE-time(hhmmss format) (e.g., AL_2023_06_15_101400.jpg)</li> </ul> </li> </ul> </li> </ul>
Canopy Height Models of Giant Mountains National Park (2012 and 2022) at 10 m resolution
<p>This repository was created to provide datasets related with an article: "Harmonised airborne laser scanning products can address the limitations of large-scale spaceborne vegetation mapping". The original airborne laser scanning point clouds used for the generation of the canopy height models were kindly provided by Giant Mountains National Park.</p>
The spiders of Calanques national Park islands
<p>List of the spider species found on nine islands of Calanques national Park (Pomègues, Ratonneau, If, Riou, Maïre, Plane, Jarre, Tiboulen de Maïre, Planier): data from pitfall traps + data from various sources (databases, personal lists, etc.)</p>
FIG. 3 in Solanum pulneyensis Soosairaj, sp. nov. (Solanaceae) from Palani Hills National Park of Tamil Nadu, India
FIG. 3. — Distribution map of Solanum pulneyensis Soosairaj,sp. nov., generated using GeoCAT.
FIG. 2 in Solanum pulneyensis Soosairaj, sp. nov. (Solanaceae) from Palani Hills National Park of Tamil Nadu, India
FIG. 2. — Solanum pulneyensis Soosairaj, sp. nov., a twig.
Fig. 3 in A new Dichaetanthera (Melastomataceae: Melastomateae) from Masoala National Park in Madagascar
Fig. 3. – Map showing the distribution of Dichaetanthera schatzii H. Ranariv. & Almeda.
Visitation rate of four bee groups within the Calanques National park, Marseille, France
<p>This dataset presents the number of visits and visitation rates realized by four wild bee groups (small bees - < 10-12 mm, large bees > 12 mm, bumblebees and honey bees) on Mediterranean plant species. Data were collected during field surveys taking place from March to June in 2017 and 2018 in the Calanques National Park, Marseille, France on 17 sites.</p> <p>In each site (i.e. 100 m² plots), to maximize the record of bee visitation rates, we first determined the most flowered patches through a visual observation and then we chose the 3 one-square meters most flowered patches to observe plant-bee interactions. An observation consisted in the recording of the visitation rate of each bee group on each plant species in one meter square for 5 minutes per patch in 2017 and 10 minutes per patch in 2018. A session consisted of the sum of observations of all plant-bee interactions on the three one-square-meter patches (i.e. 15 min per plot in 2017 and 30 min per plot in 2018). Nine sessions were performed in 2017 per plot and 5 sessions in 2018 per plot for a total of 135 minutes of observations per plot in 2017 and 150 minutes of observations per plot in 2018. Observations were made between 8h00 and 18h00 and when weather conditions were favorable (no windy or rainy days). </p> <p>Data contains the plant species, the plant family, the site's name, coordinates in WGS84, the date, the week calendar number, the year, the number of visits realized by small bees, large bees, honeybees, bumblebees, period of observation, then visitation rates of each bee group, visited plant richness on each plot each week and cover of each plant species in each site. Each line corresponds to a plant species observed during one observation. Each visit was counted when a bee plunged its head into the flower.</p>
Radiocarbon and 13C measurements from Joshua Tree National Park, USA
<p>These data include radiocarbon and 13C measurements made on surface soil and incubations from samples taken from the Pinto Basin N amendment experiments started by Edith B. Allen and collaborators in Joshua Tree National Park. The site and experiment description can be found in:</p> <p>Allen, E. B., L. E. Rao, R. J. Steers, A. Bytnerowitcz, and M. E. Fenn. 2009. Impacts of atmospheric nitrogen deposition on vegetation and soils in Joshua Tree National Park. Pages 78–100 in R. H. Webb, L. F. Fenstermaker, J. S. Heaton, D. L. Hughson, E. V. McDonald, and D. M. Miller, editors. The Mojave Desert: Ecosystem processes and sustainability. University of Nevada Press, Las Vegas, Nevada, USA.</p> <p>Samples were taken and processed by Nicole M. Nowinski at the WM Keck Carbon Cycle AMS facility at UC Irvine.</p> <p>An image of the site can be found at this web site:<br> https://www.nps.gov/articles/parkscience32_2_64-66_bell_allen_3838.htm</p> <p>The associated ISRaD Template Information File provides the names and descriptions of all fields.</p>
Fig. 2 in Habitat Utilization By Alpine Musk Deer, Moschus Chrysogaster (Artiodactyla, Moschidae), In Khaptad National Park, Nepal
Fig. 2. Ivlev´s habitat electivity index of the musk deer in the Khaptad National Park, Nepal.
Fig. 1 in Ecological Analysis Of Butterflies And Day-Flying Moths Diversity Of The Gouraya National Park (Algeria)
Fig. 1. Geographic location of Gouraya National Park and the study sites (Hafir Halim).
Fig. 2 in Formation Of Inter-Species Links In Ungulates In The Azov-Syvash National Nature Park
Fig. 2. Change in relationship of numbers of the hoof-animals in the Azov-Syvash NNP.
Fig. 2 in Home Range Of The Spur-Thighed Tortoise, Testudo Graeca (Testudines, Testudinidae), In The National Park Of El-Kala, Algeria
Fig. 2. View of the study area with different habitats.
Fig. 1 in Home Range Of The Spur-Thighed Tortoise, Testudo Graeca (Testudines, Testudinidae), In The National Park Of El-Kala, Algeria
Fig. 1. Location of the study site in the National Park of El Kala, in north-eastern Algeria.
Fig. 3 in Home Range Of The Spur-Thighed Tortoise, Testudo Graeca (Testudines, Testudinidae), In The National Park Of El-Kala, Algeria
Fig. 3. Tortoises locations (A) in relation to Dwarf palm distribution (B) on the study site.
Six new species of Pristimantis (Anura: Strabomantidae) from Llanganates National Park and Sangay National Park in Amazonian cloud forests of Ecuador
<p><strong>Fig. S1. Phylogenetic relationships of <em>Pristimantis</em> species showing <em>Pristimantis anaiae</em> sp. nov., <em>Pristimantis glendae</em> sp. nov., <em>Pristimantis kunam</em> sp. nov., <em>Pristimantis resistencia</em> sp. nov., <em>Pristimantis venegasi</em> sp. nov. and <em>Pristimantis tamia</em> sp. nov relations.</strong></p> <p>Maximum likelihood tree obtained for genes 16S, 12S, RAG1 and ND1. Support values are on the corresponding branches: aLRT values above the slash and bootstrap below. The phylogeny was derived from an analysis of 4155 bp for of mitochondrial (gene fragments 12S and 16S) and nuclear (gene fragments RAG1) DNA sequences for 235 terminals. For each specimen, museum number or, in unavailable, GenBank accession number is shown, as well as its locality. Outgroup is not shown. Abbreviations: CCS = confirmed candidate species, UCS = unconfirmed candidate species, ECU = Ecuador.</p> <p> </p> <p><strong>Figure S3. Phylogenetic relationships, based on mitochondrial genes only, showing <em>Pristimantis </em>new species relations.</strong> </p> <p>Maximum likelihood tree obtained for mitochondrial genes 12S, 16S and ND1. Support values are on the corresponding branches: aLRT values above the slash and bootstrap below. The phylogeny was derived from an analysis of 3573 bp for 235 samples of mitochondrial genes DNA sequences. For each specimen, museum number or, in unavailable, GenBank accession number is shown, as well as its locality. Outgroup is not shown. Abbreviations: CCS = confirmed candidate species, UCS = unconfirmed candidate species, ECU = Ecuador. In red, the inconsistencies found.</p>
Glacier Bay National Park glacial rock avalanche inventory (1984-2020)
<p>An inventory of supraglacially deposited rock avalanches that occurred in Glacier Bay National Park, Alaska, between 1984 and 2020.</p> <p>Reference: Smith, W.D., Dunning, S.A., Ross, N., Telling, J., Jensen, E.K., Shugar, D.H., Coe, J.A. and Geertsema, M. (2023) Revising supraglacial rock avalanche magnitudes and frequencies in Glacier Bay National Park, Alaska. <em>Geomorphology</em>, doi: <a href="https://doi.org/10.1016/j.geomorph.2023.108591">https://doi.org/10.1016/j.geomorph.2023.108591</a></p>
ScienceDex guides
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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.