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274 results for “Rocky Mountains”
Data from: Wildfire catalyzes upward range expansion of trembling aspen in southern Rocky Mountain beetle-killed forests
<p>In this study, we assessed whether recent wildfires and spruce beetle outbreaks promoted upward range expansion of trembling aspen (<i>Populus tremuloides</i>) in the San Juan Mountains of southern Colorado. We assessed aerial imagery for presence/absence of aspen in the study area and ground truthed a subset of these points to compare the aerial imagery analysis with field records of aspen. From these data we determined the upper elevational limit of aspen in the study area before fire. We then conducted field surveys at and above the upper elevational limit of aspen in burned and unburned, but beetle killed areas and collected data on stand structure, surface cover, seedling density and microsite conditions associated with seedlings. </p>
Conifer seedling demography reveals mechanisms of initial forest resilience to wildfires in the northern Rocky Mountains
<p>Climate warming and an increased frequency and severity of wildfires are expected to transform forest ecosystems, in part through altered post-fire vegetation trajectories. Such a loss of forest resilience to wildfires arises due to a failure to pass through one or more critical demographic stages, or "filters," including seed availability, germination, establishment, and survival. Here we quantify the relative influence of microclimate and microsite conditions on key stages of post-fire seedling demography in two large, lightning-ignited wildfires from the regionally extensive fire season of 2017 in the northern Rocky Mountains, U.S.A. We tracked conifer seedling density, survival, and growth in the first three years post-fire in 69 plots spanning gradients in fire severity, topography, and climate; all plots were limited to within 100 m of a seed source to assure seed availability. Microclimate conditions were inferred based on measurements in a subset of 46 plots. We found abundant post-fire conifer regeneration, with a median of 2,633 seedlings per hectare after three years, highlighting early resilience to wildfire. This robust regeneration was due in part to moderate post-fire climate conditions, supporting high survivorship (>50% on average) of all seedlings tracked over the study period (n = 763). A statistical model based on variables describing potential seed availability, microclimate, fire severity, understory vegetation, and soil nitrogen availability explained 75% of the variability in seedling density among plots. This analysis highlights the overarching importance of fine-scale heterogeneity in fire effects, which determine microclimate conditions and create diverse microsites for seedlings, ultimately facilitating post-fire tree regeneration. Our study elucidates mechanisms of forest resilience to wildfires and demonstrates the utility of a demographic perspective for anticipating forest responses to future wildfires under changing environmental conditions.</p>
Fig. 3 in An Early Miocene Dome-Skulled Chalicothere from the ''Arikaree'' Conglomerates of Darton: Calibrating the Ages of High Plains Paleovalleys Against Rocky Mountain Tectonism
Fig. 3. Geologic crosssection from Spoon
Dietary composition and fatty acid content of giant salmonflies (Pteronarcys californica) in two Rocky Mountain rivers
<p>Many aquatic invertebrates are declining or facing extinction from stressors that compromise physiology, resource consumption, reproduction, and phenology. However, the influence of these common stressors specifically on consumer-resource interactions for aquatic invertebrate consumers is only beginning to be understood. We conducted a field study to investigate <i>Pteronarcys californica</i> (i.e., the 'giant salmonfly'), a large-bodied insect that is ecologically and culturally significant to rivers throughout the western U.S. We sampled gut contents and polyunsaturated fatty acid (PUFA) composition of salmonflies to compare resource consumption across river (Madison or Gallatin, Montana), sex (male or female), and habitat (rock or woody debris). We found that allochthonous detritus comprised the majority of salmonfly diets in the Gallatin and Madison Rivers, making up 68% of the gut contents on average, followed by amorphous detritus, diatoms, and filamentous algae. Diets showed little variation across river, sex, or length. Minor differences in diets were detected by habitat type, with a higher proportion of diatoms in the diets of salmonflies collected from rocky habitat compared to woody debris. Fatty acid composition generally supported the results of gut content analysis but highlighted the importance of primary producers. The presence of eicosapentaenoic acid (EPA; 20:5n-3) and alpha linolenic acid (ALA; 18:3n-3) suggest consumption of diatoms and filamentous green algae, respectively. Our research underscores the importance of a healthy riparian zone that provides allochthonous detritus for invertebrate nutrition as well as the role of algae as an important source of fatty acids.</p>
Historical Daily Snow Water Equivalent (SWE) Estimations over the Western US and the Rocky Mountains
<p>model weights: DL model weights for SWE prediction for SNOTEL stations over the Western US. </p> <p>prediction: DL model predictions for SNOTEL SWE observations. </p> <p>[model]_clean_lats: SWE estimation over the Rocky Mountains with models trained on SNOTEL stations. </p> <p>[model]_hist_clean_lats: Historical SWE estimation over the Rocky Mountains with models trained on SNOTEL stations. </p> <p>[model]_relative_clean_lats: SWE fraction estimation over the Rocky Mountains with models trained on SNOTEL SWE fractions. </p> <p>code_SWE_main: necessary code for SWE modeling. </p> <p>corresponding code repository: https://github.com/ShihengDuan/code-SWE</p> <p> </p>
Data from: Sensitivity of simulated ammonia fluxes in Rocky Mountain National Park to measurement time resolution and meteorological inputs
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Data from: Beyond Rocky Mountain spotted fever: Investigation of the presence and diversity of spotted fever <em>Rickettsia</em> species in ticks submitted from forestry workers
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Data from: Climate change shifts natural selection and the adaptive potential of the perennial forb Boechera stricta in the Rocky Mountains
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Data from: Effects of Bark Beetle Outbreaks on Forest Landscape Pattern in the Southern Rocky Mountains, U.S.A.
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Riparian ecosystem collapse in Rocky Mountain National Park
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Dietary composition and fatty acid content of giant salmonflies (Pteronarcys californica) in two Rocky Mountain rivers
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Diversification, introgression, and rampant cytonuclear discordance in Rocky Mountains Chipmunks (Sciuridae: Tamias)
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Conifer seedling demography reveals mechanisms of initial forest resilience to wildfires in the northern Rocky Mountains
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Data from: Wildfire catalyzes upward range expansion of trembling aspen in southern Rocky Mountain beetle-killed forests
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Raw GPR data for: Alluvial dynamics of a formerly glaciated Rocky Mountain headwater valley, Colorado
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Data from: What does the fox select? Spatial ecology of Rocky Mountain red fox during peaks and troughs of human recreation
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Data from: Contrasting effects of climate warming on hosts and parasitoids: Insights from Rocky Mountain aspen leaf miners and their parasitoids
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Data from: How does anthropogenic food influence the trophic ecology of Rocky Mountain Red Fox?
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Latitudinal gradients of snow contamination in the Rocky Mountains associated with anthropogenic pollutant sources
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Data from: Delisting the Northern Rocky Mountain Gray Wolf from the U.S. Endangered Species Act: An assessment of political discourse over 20 years
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Allen Brain Atlas
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DANDI Archive for NWB datasets
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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.