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183 results for “arctic tundra”
Daily weather data file for Arctic Tundra LTER site at Toolik Lake, Arctic LTER 1995.
Daily weather data file for Arctic Tundra LTER site at Toolik Lake. Included are daily averages and/or maximums and minimums of air, soil and lake temperature, wind speed, vapor pressure, and sum of global radiation and unfrozen precipitation recorded near Toolik Lake.
Daily weather data file for Arctic Tundra LTER site at Toolik Lake, Arctic LTER 1996.
Daily weather data file for Arctic Tundra LTER site at Toolik Lake. Included are daily averages and/or maximums and minimums of air, soil and lake temperature, wind speed, vapor pressure, and sum of global radiation and unfrozen precipitation recorded near Toolik Lake.
Daily weather data file for Arctic Tundra LTER site at Toolik Lake, Arctic LTER 1997.
Daily weather data file for Arctic Tundra LTER site at Toolik Lake. Included are daily averages and/or maximums and minimums of air, soil and lake temperature, wind speed, vapor pressure, and sum of global radiation and unfrozen precipitation recorded near Toolik Lake.
Daily weather data file for Arctic Tundra LTER site at Toolik Lake, Arctic LTER 1998.
Daily weather data file for Arctic Tundra LTER site at Toolik Lake. Included are daily averages and/or maximums and minimums of air, soil and lake temperature, wind speed, vapor pressure, and sum of global radiation and unfrozen precipitation recorded near Toolik Lake.
Daily weather data file for Arctic Tundra LTER site at Toolik Lake, Arctic LTER 1999.
Daily weather data file for Arctic Tundra LTER site at Toolik Lake. Included are daily averages and/or maximums and minimums of air, soil and lake temperature, wind speed, vapor pressure, and sum of global radiation and unfrozen precipitation recorded near Toolik Lake.
Data from: Long-term experimental warming alters community composition of ascomycetes in Alaskan moist and dry arctic tundra
Arctic tundra regions have been responding to global warming with visible changes in plant community composition, including expansion of shrubs and declines in lichens and bryophytes. Even though it is well-known that the majority of arctic plants are associated with their symbiotic fungi, how fungal community composition will be different with climate warming remains largely unknown. In this study, we addressed the effects of long-term (18 years) experimental warming on the community composition and taxonomic richness of soil ascomycetes in dry and moist tundra types. Using deep Ion Torrent sequencing we quantified how OTU assemblage and richness of different orders of Ascomycota changed in response to summer warming. Experimental warming significantly altered ascomycete communities with stronger responses observed in the moist tundra compared to dry tundra. The proportion of several lichenized and moss-associated fungi decreased with warming, while the proportion of several plant and insect pathogens and saprotrophic species was higher in the warming treatment. The observed alterations in both taxonomic and ecological groups of ascomycetes are discussed in relation to previously reported warming-induced shifts in arctic plant communities, including decline in lichens and bryophytes and increase in coverage and biomass of shrubs.
Nutrient deposition on Arctic fox dens creates atypical tundra plant assemblages at the edge of the Arctic
<p class="CxSpFirst"><span><span><span><span><span><span><span><span><span><span><span><i>Questions</i>: In most ecosystems, some organisms can be considered ecosystem engineers because they modify their physical environment in a way that can affect many other organisms. Nutrient deposition may be extremely important as an ecosystem engineering activity in nutrient-limited environments, but this mechanism remains understudied. In low-Arctic tundra, a region characterized by continuous permafrost, low-nutrient soils, and slow nutrient turnover, Arctic foxes (<i>Vulpes lagopus</i>) concentrate nutrients on their dens through fecal deposition and feeding their young. This nutrient concentration enhances productivity in patches on the landscape, likely creating a unique habitat for a variety of plants, and could have cascading effects on the distribution and diversity of vegetation on the tundra. </span></span></span></span></span></span></span></span></span></span></span></p> <p class="CxSpMiddle"><span><span><span><span><span><span><span><span><span><span><span><i>Location</i>: Low-Arctic tundra in Wapusk National Park, Manitoba, Canada</span></span></span></span></span></span></span></span></span></span></span></p> <p class="CxSpMiddle"><span><span><span><span><span><span><span><span><span><span><span><i>Methods</i>: We quantified differences in vegetation composition between 20 fox dens and adjacent control sites. </span></span></span></span></span></span></span></span></span></span></span></p> <p class="CxSpMiddle"><span><span><span><span><span><span><span><span><span><span><span><i>Results</i>: Plant growth form differed greatly between dens, which were dominated by deciduous grasses near the coast and erect shrubs farther from the coast, and control sites, which were dominated by evergreen prostrate shrubs. Dens also had more forb cover and less cover of lichens, mosses, and sedges. Species composition also varied greatly between control and den areas, with 17 of the 20 species found in at least 10% of the sampled sites being indicator species for dens or control sites. </span></span></span></span></span></span></span></span></span></span></span></p> <p><i>Conclusions</i><span><span><span><span><span><span><span><span><span><span><span>: By providing habitat for plants reliant on higher nutrient availability not typical of tundra heath, Arctic foxes enhance the biodiversity of the region. These erect plants may also help create new habitat by retaining snow on normally windswept beach ridges. Overall, this study illustrates the broader impacts of predators on diversity and community composition through mechanisms other than predation.</span></span></span></span></span></span></span></span></span></span></span></p>
Data and R-Scripts for the manuscript "Arctic tundra ecosystems under fire – potential trajectories for stable state shifts"
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Root traits and soil microorganisms as drivers of plant-soil feedbacks within the sub-arctic tundra meadow
<p>Plant-soil feedback (PSF) can influence the composition of various soil microorganisms (antagonistic and mutualistic), which can have reciprocal effects on plants. At the same time, we do not understand the effects of fine root traits in moderating microbial-driven PSF. We therefore conducted a greenhouse study to aid in understanding the relationship between root traits, soil community composition (PLFAs and high-throughput sequencing data) and plant-soil feedback (PSF). These data therefore include datasets with fine root traits, raw sequence reads from high-throughput sequencing for soil fungi, phospholipid fatty acid data and biomass data after the plant-soil feedback study.</p>
Subspecies and Distribution. A. l. lagopus Linnaeus, 1758 — most of the circumpolar range, in all Arctic tundra habitats. A. l. beringensis Merriam, 1902 — Russia (Commander Is). A. l. fuliginosus Bechstein, 1799 — Iceland, Greenland, Svalbard. A.l. pribilofensis Merriam, 1902 — Alaska (Pribilof Is). in Canidae
Subspecies and Distribution. A. l. lagopus Linnaeus, 1758 — most of the circumpolar range, in all Arctic tundra habitats. A. l. beringensis Merriam, 1902 — Russia (Commander Is). A. l. fuliginosus Bechstein, 1799 — Iceland, Greenland, Svalbard. A.l. pribilofensis Merriam, 1902 — Alaska (Pribilof Is).
On following pages: 4. Greater Striped Shrew (Sorex cylindricauda); 5. Lesser Striped Shrew (Sorex bedfordiae), 6. Radde's 9. Azumi Shrew (Sorex hosonoi): 10. Slender Shrew (Sorex gracillimus); 11. Laxmann's Shrew (Sorex caecutiens); 12. Shinto Shrew (Sorex sinalis): 16. Common Shrew (Sorex araneus); 17. Iberian Shrew (Sorex granarius); 18. Valais Shrew (Sorex Shrew (Sorex daphaenodon); 22. Gansu Shrew (Sorex cansulus); 23. Tundra Shrew (Sorex tundrensis); 24. Tian Shan Shrew (Sorex maritimensis): 28. Eurasian Pygmy Shrew (Sorex minutus); 29. Caucasian Pygmy Shrew (Sorex volnuchini); 30. 33. Trowbridge's Shrew (Sorex trowbridgii); 34. Arizona Shrew (Sorex arizonae); 35. Merriam's Shrew (Sorex merriami) 39. San Cristobal Shrew (Sorex cristobalensis); 40. McCarthy's Shrew (Sorex mccarthy); 41. Salvin's Shrew (Sorex salvini Shrew (Sorex raddei); 7. Flat-skulled Shrew (Sorex roboratus); 8. Eurasian Least Shrew (Sorex minutissimus); Shrew (Sorex shinto); 13. Taiga Shrew (Sorex isodon); 14. Long-clawed Shrew (Sorex unguiculatus); 15. Chinese antinori); 19. Crowned Shrew (Sorex coronatus); 20. Caucasian Shrew (Sorex satunini); 21. Siberian Large-toothed (Sorex aspen; 25. Apennine Shrew (Sorex samniticus); 26. Arctic Shrew (Sorex arcticus); 27. Maritime Shrew Buchara Shrew (Sorex buchariensis), 31. Tibetan Shrew (Sorex thibetanus); 32. Kashmir Shrew (Sorex planiceps);; 36. Alto Shrew (Sorex altoensis); 37. Jalisco Shrew (Sorex mediopua); 38. Saussure''s Shrew (Sorex saussurel);); 42. Sclater's Shrew (Sorex sclateri), 43. Pale-toothed Shrew (Sorex stizodon). in Soricidae
On following pages: 4. Greater Striped Shrew (Sorex cylindricauda); 5. Lesser Striped Shrew (Sorex bedfordiae), 6. Radde's 9. Azumi Shrew (Sorex hosonoi): 10. Slender Shrew (Sorex gracillimus); 11. Laxmann's Shrew (Sorex caecutiens); 12. Shinto Shrew (Sorex sinalis): 16. Common Shrew (Sorex araneus); 17. Iberian Shrew (Sorex granarius); 18. Valais Shrew (Sorex Shrew (Sorex daphaenodon); 22. Gansu Shrew (Sorex cansulus); 23. Tundra Shrew (Sorex tundrensis); 24. Tian Shan Shrew (Sorex maritimensis): 28. Eurasian Pygmy Shrew (Sorex minutus); 29. Caucasian Pygmy Shrew (Sorex volnuchini); 30. 33. Trowbridge's Shrew (Sorex trowbridgii); 34. Arizona Shrew (Sorex arizonae); 35. Merriam's Shrew (Sorex merriami) 39. San Cristobal Shrew (Sorex cristobalensis); 40. McCarthy's Shrew (Sorex mccarthy); 41. Salvin's Shrew (Sorex salvini Shrew (Sorex raddei); 7. Flat-skulled Shrew (Sorex roboratus); 8. Eurasian Least Shrew (Sorex minutissimus); Shrew (Sorex shinto); 13. Taiga Shrew (Sorex isodon); 14. Long-clawed Shrew (Sorex unguiculatus); 15. Chinese antinori); 19. Crowned Shrew (Sorex coronatus); 20. Caucasian Shrew (Sorex satunini); 21. Siberian Large-toothed (Sorex aspen; 25. Apennine Shrew (Sorex samniticus); 26. Arctic Shrew (Sorex arcticus); 27. Maritime Shrew Buchara Shrew (Sorex buchariensis), 31. Tibetan Shrew (Sorex thibetanus); 32. Kashmir Shrew (Sorex planiceps);; 36. Alto Shrew (Sorex altoensis); 37. Jalisco Shrew (Sorex mediopua); 38. Saussure''s Shrew (Sorex saussurel);); 42. Sclater's Shrew (Sorex sclateri), 43. Pale-toothed Shrew (Sorex stizodon).
Data from: A pioneering pest: the winter moth (Operophtera brumata) is expanding its outbreak range into low-arctic shrub tundra
<p>Climate warming allows generalist boreal consumers to expand into arctic ecosystems. We present experimental and observational field data showing that a generalist boreal insect pest – the winter moth (<i>Operophtera brumata</i> Linnaeus, 1758) – is expanding its outbreak range out of the northern-boreal mountain birch forest in northeast Fennoscandia and into the adjacent low-artic shrub tundra. This is the first documented example of an outbreaking boreal insect pest expanding into a tundra ecosystem. The expansion has coincided with a long-term advancing trend in the expected hatching date of moth eggs in spring for the study region. We show that the winter moth can complete development on low-arctic willows and that the density of winter moth larvae in willow thickets is unrelated to the amount of mountain birch (the main host plant in northern-boreal forest) in the thickets. However, we also demonstrate that larval densities on willows show a regional-scale spatial decline when moving away from the birch forest and into the shrub tundra. Continued monitoring is needed to establish if the outbreaks will spread further into the tundra. The expansion of outbreaking boreal pests into the tundra could alter conventional expectations of increasing vegetation productivity and shrubification in tundra ecosystems.</p>
Data from: Long-term experimental warming alters community composition of ascomycetes in Alaskan moist and dry arctic tundra
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Data from: Short-term herbivory has long-term consequences in warmed and ambient high Arctic tundra
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Data from: Trophic interactions and abiotic factors drive functional and phylogenetic structure of vertebrate herbivore communities across the Arctic tundra biome
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Data from: Spatial variation and linkages of soil and vegetation in the Siberian Arctic tundra – coupling field observations with remote sensing data
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Data from: Plant community composition and species richness in the High Arctic tundra: from the present to the future
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Nutrient deposition on Arctic fox dens creates atypical tundra plant assemblages at the edge of the Arctic
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Root traits and soil microorganisms as drivers of plant-soil feedbacks within the sub-arctic tundra meadow
Open the record for dataset details and reuse information.
Data from: A pioneering pest: the winter moth (Operophtera brumata) is expanding its outbreak range into low-arctic shrub tundra
Open the record for dataset details and reuse information.
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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)
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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.