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133 results for “MOOSE”

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dryad28/100

Moose (Alces alces) parturition dates, Sweden

Open the record for dataset details and reuse information.

publicAug 2020View details →
dryad28/100

Counts of winter ticks on live-captured moose in western US

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publicFeb 2024View details →
dryad28/100

Wild reindeer, wolf and moose population dynamics in Eastern Finland

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publicNov 2021View details →
nasa28/100

ABoVE: Environmental Conditions During Fall Moose Hunting Seasons, Alaska, 2000-2016

This dataset provides daily and annual air temperature, river water level, and leaf drop dates coincident with the moose (Alces alces) hunting season (September) for the area surrounding the rural communities of Nulato, Koyukuk, Kaltag, Galena, Ruby, Huslia, and Hughes in interior Alaska, USA, over the period 2000-2016. The main objective of the study was to assess how the environmental conditions impacted the success of hunters who rely on moose as a subsistence resource.

restrictednotspecifiedApr 2025View details →
dryad24/100

Data from: Trait-mediated indirect interactions: moose browsing increases sawfly fecundity through plant induced responses

1. Induced responses in plants, initiated by herbivory, create potential for trait-mediated indirect interactions among herbivores. Responses to an initial herbivore may change a number of plant traits that subsequently alter ecological processes with additional herbivores. Although common, indirect interactions between taxonomically distant herbivores, such as mammals and insects, are less studied than between taxonomically related species (i.e. insect-insect). In terms of mammal-insect interactions, effects on insect numbers (e.g. density) is relatively well studied, whereas effects on performance (e.g. fecundity) are rarely explored. Moreover, few studies have explored mammal-insect interactions on coniferous plants. 2. The aim of this study was to investigate the effect of mammalian induced responses on insect performance. We specifically investigated the effect of moose (Alces alces) browsing on Scots pine (Pinus sylvestris) and subsequent effects on sawfly (Neodiprion sertifer) performance. 3. Sawfly larvae were reared on browsed, clipped and un-browsed control pine trees in a controlled field experiment. Afterwards cocoon weight was measured. Needle C:N ratio and di-terpene content was measured in response to browsing. 4. Sawfly performance was enhanced on trees browsed by moose. Cocoon weight (proxy for fecundity) was 9 and 13 % higher on browsed and clipped trees compared to un-browsed trees. Cocoon weight was weakly related to needle C:N ratio, and browsed trees had lower a C:N ratio compared to un-browsed trees. Needle di-terpene content, known to affect sawfly performance, was neither affected by the browsing treatments nor did it correlate with sawfly weight. 5. We conclude that mammalian herbivory can affect insect herbivore performance, with potential consequences for ecological communities, and with particular importance for insect population dynamics. The measured plant variables could not fully explain the effect on sawfly performance providing a starting point for the consideration of additional plant responses induced by mammalian browsing affecting insect performance.

opencc-zeroSep 2019View details →
dryad24/100

Data from: Response of moose hunters to predation following wolf return in Sweden

Background: Predation and hunter harvest constitute the main mortality factors affecting the size and dynamics of many exploited populations. The re-colonization by wolves (Canis lupus) of the Scandinavian Peninsula may therefore substantially reduce hunter harvest of moose (Alces alces), the main prey of wolves. Methodology/Principal findings: We examined possible effects of wolf presence on hunter harvest in areas where we had data before and after wolf establishment (n = 25), and in additional areas that had been continuously exposed to wolf predation during at least ten years (n = 43). There was a general reduction in the total number of moose harvested (n = 31,827) during the ten year study period in all areas irrespective of presence of wolves or not. However, the reduction in hunter harvest was stronger within wolf territories compared to control areas without wolves. The reduction in harvest was larger in small (500-800 km2) compared to large (1,200-1,800 km2) wolf territories. In areas with newly established wolf territories moose management appeared to be adaptive with regard to both managers (hunting quotas) and to hunters (actual harvest). In these areas an instant reduction in moose harvest over-compensated the estimated number of moose killed annually by wolves and the composition of the hunted animals changed towards a lower proportion of adult females. Conclusions/Significance: We show that the re-colonization of wolves may result in an almost instant functional response by another large predator—humans—that reduced the potential for a direct numerical effect on the density of wolves' main prey, the moose. Because most of the worlds' habitat that will be available for future colonization by large predators are likely to be strongly influenced by humans, human behavioural responses may constitute a key trait that govern the impact of large predators on their prey.

opencc-zeroDec 2014View details →
zenodo24/100

Taylor Corridor Moose Data

<p>This data set contains the results of moose surveys in the Taylor Corridor region in eastern-central Alaska. The coordinates have been transformed.</p>

opencc-by-4.0Feb 2023View details →
dryad24/100

Data from: Trait-mediated indirect interactions: moose browsing increases sawfly fecundity through plant induced responses

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publicSep 2019View details →
dryad24/100

Data from: Response of moose hunters to predation following wolf return in Sweden

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publicJan 2016View details →
nasa24/100

MOOSE NASA G-3 Aircraft GEO-CAPE Airborne Simulator (GCAS) Remotely Sensed Data

MOOSE_AircraftRemoteSensing_NASA-G3_GCAS_Data contains remotely sensed data collected by the GEOstationary Coastal and Air Pollution Events (GEO-CAPE) Airborne Simulator (GCAS) onboard NASA's Gulfstream-III (G-3) aircraft during the Michigan-Ontario Ozone Source Experiment (MOOSE).The Michigan-Ontario Ozone Source Experiment (MOOSE) is an international collaboration between US and Canadian agencies: the Ontario Ministry of Environment, Conservation, and Parks (MECP), the Environment and Climate Change Canada (ECCC), the US Environmental Protection Agency (EPA), and the Michigan Department of Environment, Great Lakes, and Energy (EGLE). These agencies conducted three field experiments to ensure a viable ozone attainment strategy which, due to their common goal, were given the common name MOOSE. The three field experiments that MOOSE encapsulates are: the Great Lakes Meteorology and Ozone Recirculation (GLAMOR) experiment, the Chemical Source Signatures (CHESS) experiment, and the Methane Releases from Landfills and Gas Lines (MERLIN) experiment. Field studies were conducted for MOOSE in 2021 and 2022. MOOSE consists of two phases, with the first occurring over six weeks from May to June 2021, and the second phase occurring during the summer of 2022. Both airborne and ground instruments are used in completing the campaign’s main goal of aiding in the creation of an ozone attainment strategy for Southeast Michigan (SEMI). SEMI is currently designated as in-marginal nonattainment of the U.S. federal ozone standard. The campaign also has the goal of better understanding what contributes to elevated ozone levels in the Border region, the immediate area on both sides of the US-Canada border. Along with understanding the contributing factors of elevated ozone levels, the campaign aims to understand how the elevated ozone levels cause exceedances to the Canadian ambient air quality standard for ozone.In addition to MOOSE’s overarching goals, GLAMOR, CHESS, and MERLIN have their own objectives to fulfill. GLAMOR seeks to understand and simulate complex 3D flows that are associated with lake breeze circulations, the urban heat island (UHI) and its interaction with the lake breeze, and the impact of lake breezes and the UHI on ozone and ozone precursor transport. GLAMOR also aims to understand and track the influence of urban emissions and land-lake breezes on urban oxidative capacity through nitrous acid (HONO) and related reactive nitrogen species. Determining the conceptual picture (mesoscale meteorological patterns and photochemical production locations) for ozone exceedances in the Border region is what this campaign aims to achieve as well. Finally, GLAMOR aims to select representative ozone episodes for each identified mesoscale pattern, as well as conduct modeling and data analyses in support of an ozone attainment demonstration. The second sub-experiment, CHESS, has a goal to characterize the ozone precursor signatures at the key monitoring stations in the Border region where design values are highest during ozone exceedances in the typical year. CHESS will characterize emission plumes from point sources, area sources, and major industrial sectors in the Border region as well as their impacts on ozone design values on the two sides of the U.S. and Canada border. CHESS also aims to perform air quality model simulations of potential emission control strategies. The third sub-experiment, MERLIN, seeks to determine the natural gas leakage rate of pipelines or other infrastructure in SEMI. Quantifying methane, formaldehyde, and other emissions from landfills in the Border region as well as determining the contributions of large methane sources to ozone exceedances in the Border region are the two other objectives MERLIN is set to accomplish. In doing this, potential control strategies of gas emission into the atmosphere can be drafted and implemented.The three sub-experiments are equipped with their own payloads and stations where research is conducted. GLAMOR uses ground stations and Aerodyne Networks to gather data from MECP’s Windsor West air monitoring station in Ontario, EGLE’s Detroit East 7 Mile PAMS Station, EGLE’s Port Huron monitoring station, as well as collecting field measurements of concentration and isotopic composition of NOx, HONO, NO2, HNO3, and NO3. CHESS utilizes mobile labs, ground stations, and the NASA Gulfstream III (G-III) aircraft while working with the Aerodyne Mobile lab, University of Michigan Pollution Assessment Lab (MPAL), and MECP Mobile Lab. CHESS utilizes these tools and payloads to measure CH4, HCHO, CO2, CO, H2O, O3, SO2, and NOx. MERLIN utilizes mobile labs, drones, and ground stations to work with the University of Michigan Mobile Lab, the Colorado State University Mobile Lab, and the EPA mobile lab. Drone-mounted meteorological chemical sensors for CH4, CH2O, and O3 precursors as well as the EPA GMAP mobile platform are used to measure hydrogen sulfide, methane, benzene, tolu

restrictednotspecifiedApr 2025View details →
nasa24/100

MOOSE Aerodyne Mobile Laboratory Measurements

MOOSE_Aerodyne-Mobile-Laboratory_1 is the data collected by the Aerodyne Mobile Laboratory (AML) during the Michigan-Ontario Ozone Source Experiment (MOOSE). Instruments used to collect data featured in this collection include: TDPC-GC-EI-ToFMS (Thermal Desorption Pre-Concentration - Gas Chromatograph - Electron Impact Ionization - Time of Flight Mass Spectrometer), Aerodyne Vocus PTR-ToF-MS instrument for the quantification of VOCs including BTEX, isoprene, terpenes, etc., Aerodyne TILDAS instruments for CH4, C2H6, CO, N2O, H2O, HCHO, HCOOH, NO, NO2; Aerodyne CAPS-NOx for NOx; Licor 6262 for CO2; 2B-Tech for O3; RMYoung 86000 for wind; and Hemisphere GPS Vector V103.The Michigan-Ontario Ozone Source Experiment (MOOSE) is an international collaboration between US and Canadian agencies: the Ontario Ministry of Environment, Conservation, and Parks (MECP), the Environment and Climate Change Canada (ECCC), the US Environmental Protection Agency (EPA), and the Michigan Department of Environment, Great Lakes, and Energy (EGLE). These agencies conducted three field experiments to ensure a viable ozone attainment strategy which, due to their common goal, were given the common name MOOSE. The three field experiments that MOOSE encapsulates are: the Great Lakes Meteorology and Ozone Recirculation (GLAMOR) experiment, the Chemical Source Signatures (CHESS) experiment, and the Methane Releases from Landfills and Gas Lines (MERLIN) experiment. Field studies were conducted for MOOSE in 2021 and 2022. MOOSE consists of two phases, with the first occurring over six weeks from May to June 2021, and the second phase occurring during the summer of 2022. Both airborne and ground instruments are used in completing the campaign’s main goal of aiding in the creation of an ozone attainment strategy for Southeast Michigan (SEMI). SEMI is currently designated as in-marginal nonattainment of the U.S. federal ozone standard. The campaign also has the goal of better understanding what contributes to elevated ozone levels in the Border region, the immediate area on both sides of the US-Canada border. Along with understanding the contributing factors of elevated ozone levels, the campaign aims to understand how the elevated ozone levels cause exceedances to the Canadian ambient air quality standard for ozone.In addition to MOOSE’s overarching goals, GLAMOR, CHESS, and MERLIN have their own objectives to fulfill. GLAMOR seeks to understand and simulate complex 3D flows that are associated with lake breeze circulations, the urban heat island (UHI) and its interaction with the lake breeze, and the impact of lake breezes and the UHI on ozone and ozone precursor transport. GLAMOR also aims to understand and track the influence of urban emissions and land-lake breezes on urban oxidative capacity through nitrous acid (HONO) and related reactive nitrogen species. Determining the conceptual picture (mesoscale meteorological patterns and photochemical production locations) for ozone exceedances in the Border region is what this campaign aims to achieve as well. Finally, GLAMOR aims to select representative ozone episodes for each identified mesoscale pattern, as well as conduct modeling and data analyses in support of an ozone attainment demonstration. The second sub-experiment, CHESS, has a goal to characterize the ozone precursor signatures at the key monitoring stations in the Border region where design values are highest during ozone exceedances in the typical year. CHESS will characterize emission plumes from point sources, area sources, and major industrial sectors in the Border region as well as their impacts on ozone design values on the two sides of the U.S. and Canada border. CHESS also aims to perform air quality model simulations of potential emission control strategies. The third sub-experiment, MERLIN, seeks to determine the natural gas leakage rate of pipelines or other infrastructure in SEMI. Quantifying methane, formaldehyde, and other emissions from landfills in the Border region as well as determining the contributions of large methane sources to ozone exceedances in the Border region are the two other objectives MERLIN is set to accomplish. In doing this, potential control strategies of gas emission into the atmosphere can be drafted and implemented.The three sub-experiments are equipped with their own payloads and stations where research is conducted. GLAMOR uses ground stations and Aerodyne Networks to gather data from MECP’s Windsor West air monitoring station in Ontario, EGLE’s Detroit East 7 Mile PAMS Station, EGLE’s Port Huron monitoring station, as well as collecting field measurements of concentration and isotopic composition of NOx, HONO, NO2, HNO3, and NO3. CHESS utilizes mobile labs, ground stations, and the NASA Gulfstream III (G-III) aircraft while working with the Aerodyne Mobile lab, University of Michigan Pollution Assessment Lab (MPAL), and MECP Mobile Lab. CHESS utilizes these tools and payloads to measure CH4

restrictednotspecifiedApr 2025View details →
zenodo20/100

Fig. 4.—A in Phylogeography of moose in western North America

Fig. 4.—A) Plots of both the log probability of data (left y-axis) and ΔK (right y-axis) as a function of the number of putative groupings (K); and B) individual cluster probabilistic assignments (y-axis) for K = 2, 3, 4, and 5 groupings from Bayesian cluster analyses of 13 microsatellite loci for 253 moose individuals sampled across 26 sampling locations (x-axis) in western North America, 2004–2016.

opennotspecifiedNov 2019View details →
zenodo16/100

Fig. 2 in Niche Preference of a Coprophagous Scarab Beetle (Coleoptera: Scarabaeidae) for Summer Moose Dung in Denali National Park, Alaska

Fig. 2. Winter moose dung, Denali National Park, Alaska. Coin is 24.3 mm wide.

opennotspecifiedJun 2010View details →

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