disciplines
| Abstract | |
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| Byron Crump, 2016 Alaskan tundra lake, stream, and soil microbiome: Raw sequence reads ID 356108 - BioProject - NCBI (nih.gov). |
ID 356108 - BioProject - NCBI (nih.gov) |
| Abstract | |
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| Kyle Whittinghill, 2013 Three synoptic surveys of streams throughout a 48km2 watershed near Toolik Lake, AK in spring (early-June), summer (mid-July), and fall (mid-September) 2011.. 10.6073/pasta/2b27ce6b75864e21d6a8abb246abbcd2 |
To determine temporal and spatial patterns in arctic stream biogeochemistry we conducted three synoptic surveys of streams throughout a 48km2 watershed near Toolik Lake, AK in spring (early-June), summer (mid-July), and fall (mid-September) 2011. During each synoptic survey, we sampled 52 sites within a period of four days to minimize the effect of temporal hydrologic variability. At each site we measured stream temperature, pH, and conductivity and sampled water for solute analysis. |
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| Ned Fetcher, Jianwu Tang, Michael L Moody, 2019 Eriophorum vaginatum leaf length 2015-2017 from 2014 common gardens established at Toolik Lake, Coldfoot, and Sagwon - Alaska. 10.6073/pasta/f755cc84f4d410f3e7b0c813ff1155a2 |
Data on Eriophorum vaginatum leaf length collected from common gardens established at Toolik Lake, Coldfoot, and Sagwon in 2014 with tussocks from Coldfoot, Toolik Lake, and Sagwon. Data collected during the growing seasons of 2015, 2016, and 2017 |
| Jianwu Tang, Ned Fetcher, Michael L Moody, 2019 Litter decomposition from 2014 reciprocal transplant garden Toolik Lake, Coldfoot, and Sagwon, Alaska 2016. 10.6073/pasta/12e95d63a6c0be0124c69487182b1750 |
Data on litter decomposition of Eriophorum vaginatum leaves collected at Toolik Lake, Coldfoot, and Sagwon and distributed to all three sites. Litter bags from the three populations were deployed at CF (8/26/15), TL (8/24/16) and SG (8/25/16) sites approximately 40 meter away from the main transplant gardens (east of CF, east of TL and west of SG) into 5 blocks with 4 intended harvests at each plots. |
| Ned Fetcher, Jianwu Tang, Michael L Moody, 2019 Normalized difference vegetation index and Leaf area index of tussocks from reciprocal transplant gardens at Toolik Lake, Coldfoot, and Sagwon, Alaska 2016. 10.6073/pasta/88f7fbd7a0ba46c1e54980448b8db3d2 |
Normalized difference vegetation index (NDVI) and Leaf area index (LAI) data from tussocks in the reciprocal transplant gardens at Toolik Lake, Coldfoot, and Sagwon in 2016. |
| Ned Fetcher, Jianwu Tang, Michael L Moody, 2019 Toolik Lake 2011 common garden leaf length phenology 2015-2016 Alaska. 10.6073/pasta/3ab6cda64f34f82f89933c3bc3e5caaa |
Data on Eriophorum vaginatum leaf length collected from a common garden established at Toolik Lake in 2011 with tussocks from No Name Creek, Coldfoot, Eagle Creek, Toolik Lake, Sagwon, and Prudhoe Bay. Data collected during the growing seasons of 2015 and 2016. Results published in Parker, T. C., J. Tang, M. B. Clark, M. M. Moody, and N. Fetcher. 2017. Ecotypic differences in the phenology of the tundra species Eriophorum vaginatum reflect sites of origin. Ecology and Evolution 7: 9775-9786. doi: 10.1002/ece3.3445 |
| Abstract | |
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| Edward Rastetter, Kevin Griffin, Bonnie Kwiatkowski, George Kling, 2022 Model Simulations of The Effects of Shifts in High-frequency Weather Variability (With a Long-term Trend) on Carbon Loss from Land to the Atmosphere, Toolik Lake, Alaska, 2022-2122. 10.6073/pasta/83775003d8ef8978bf43d5c801f2a9a9 |
Climate change is increasing extreme weather events, but effects on high-frequency weather variability and the resultant impacts on ecosystem function are poorly understood. We assessed ecosystem responses of arctic tundra to changes in day-to-day weather variability using a biogeochemical model and stochastic simulations of daily temperature, precipitation, and light. Changes in weather variability altered ecosystem carbon, nitrogen, and phosphorus stocks and cycling rates. |
| Abstract | |
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| Gaius Shaver, Laura Gough, 1999 Quadrats were harvested for aboveground biomass from eight plots within a tussock, watertrack, and snowbed community at 3 sites - acidic tundra and nonacidic tundra near Arctic LTER Toolik Plots and acidic tundra near Sagwon,Arctic LTER 1997.. 10.6073/pasta/cf45e059c576273ec58ce24769793f28 |
Quadrats were harvested for aboveground biomass from eight plots within a tussock, watertrack, and snowbed community at 3 sites - acidic tundra near Toolik (site of acidic LTER plots), nonacidic tundra near Toolik Lake(site of non-acidic LTER plots), and acidic tundra near Sagwon. All vascular species were sorted, divided into new and old growth, dried, and weighed. Lichens were separated by genus in all quadrats. In half of the quadrats (n=4), mosses were separated by species. Moss and lichen data are presented by species elsewhere (see 97lgmosslichen.txt). |
| Gaius Shaver, Laura Gough, 1999 A harvest was conducted to determine productivity of rare species not found in at least 4 quadrats per site in a separate small quadrat aboveground biomass harvest, Arctic LTER 1997.. 10.6073/pasta/c9d934f0c88b3f4545f997fe6dfd1a2e |
A harvest was conducted to determine productivity of rare species not found in at least 4 quadrats per site in a separate small quadrat aboveground biomass harvest (see 97lg3sbm.txt). Harvests occurred in a tussock, watertrack, and snowbed community at 3 sites - acidic tundra near Toolik (site of acidic LTER plots), nonacidic tundra near Toolik Lake(site of non-acidic LTER plots), and acidic tundra near Sagwon. Moss and lichen data are presented by species elsewhere (see 97lgmosslichen). |
| Kevin Griffin, Natalie Boelman, 2020 Vegetation species abundance via point frame from Arctic LTER dry heath tundra, Toolik Field Station, Alaska, 2017. 10.6073/pasta/4b75019636e6f95760fcd49de4c99579 |
Vegetation (species) abundances were measured from LTER heath tundra herbivore exclosures using the point frame method. This file contains the number of pin hits per species for each subplot. |
| Abstract | |
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| Ned Fetcher, Jianwu Tang, Michael L Moody, Thomas Parker, 2019 Effects of shading on tundra vegetation senescence at Toolik Lake, Coldfoot, Sagwon - Alaska 2016 . 10.6073/pasta/52dcd21509c4d8638ccfb5148b2ac119 |
Data on the effects of shading tundra vegetation from the sun when it is low in on the horizon in the north. If light quality was altered through shading, phenology might be affected. Senescence (color change) was measured for the common tundra species. |
| Ned Fetcher, Jianwu Tang, Michael L Moody, 2019 Effects of 2015 experimental burn on Eriophorum vaginatum at Toolik Lake Field Station, Alaska 2016. 10.6073/pasta/99e3e2d2aa874e56fb6d63551134662e |
This was an experimental burn conducted in the summer of 2015 to provide sites for an experiment to see whether seeds of Eriophorum vaginatum from different ecotypes could establish in recently burned areas. It consisted of ten 2 meter X 2 meter plots along with a similar number of control plots. There was little seedling establishment but other data have been collected on the plots. |
| Abstract | |
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| Anne Giblin, George Kling, 1995 Chlorophyll a and primary productivity data for various lakes near Toolik Research Station, Arctic LTER. Summer 1983 to 1989.. 10.6073/pasta/26bc0b31099bafcdf964dd47b0d654ec |
Decadal file describing the chlorophyll a and primary production in various lakes near Toolik Research Station (68 38'N, 149 36'W) during summers from 1983 to 1989. Sample site descriptors include an assigned number (sortchem), site, date of analysis (incubation), time, depth and rates of primary production. The amount of chlorophyll a and pheophytin were also measured. |
| Anne Giblin, George Kling, 2022 Chlorophyll a and primary productivity data for various lakes near Toolik Research Station, Alaska, Arctic LTER. Summer 2010 to 2020. 10.6073/pasta/1981b68e5b34e2a87436cdf76e40b417 |
Decadal file describing the chlorophyll a and primary production in various lakes near Toolik Research Station (68 38'N, 149 36'W) during summers from 2010 to 2020. Sample site descriptors include an assigned number (sortchem), site, date of analysis (incubation), time, depth and rates of primary production. The amount of chlorophyll a and pheophytin were also measured. |
| Anne Giblin, George Kling, 1992 Chlorophyll a and primary productivity data for various lakes near Toolik Research Station, Arctic LTER. Summer 1990 to 1999.. 10.6073/pasta/1b1538449340e68760cf86d92d7082de |
Decadal file describing the chlorophyll a and primary production in various lakes near Toolik Research Station (68 38'N, 149 36'W) during summers from 1990 to 1999. Sample site descriptors include an assigned number (sortchem), site, date of analysis (incubation), time, depth and rates of primary production. The amount of chlorophyll a and pheophytin were also measured. |
| Anne Giblin, George Kling, 1992 Chlorophyll a and primary productivity data for various lakes near Toolik Research Station, Arctic LTER. Summer 2000 to 2009.. 10.6073/pasta/c14fe6e5bb0e2a2c6a74d51a6943c667 |
Decadal file describing the chlorophyll a and primary production in various lakes near Toolik Research Station (68 38'N, 149 36'W) during summers from 2000 to 2009. Sample site descriptors include an assigned number (sortchem), site, date of analysis (incubation), time, depth and rates of primary production. The amount of chlorophyll a and pheophytin were also measured. |
| Abstract | |
|---|---|
| George Kling, 2022 Biogeochemistry data set for soil waters, streams, and lakes near Toolik Lake on the North Slope of Alaska, 2012 through 2020. 10.6073/pasta/4e25db9ae9372f5339f2795792814845 |
Data file of the biogeochemistry of samples collected at various sites near Toolik Lake, North Slope of Alaska. Sample site descriptors include a unique assigned number (sortchem), site, date, time, depth, distance (downstream from a reference location), elevation, treatment, date-time, category, and water type (lake, surface, soil). Physical measures collected in the field include temperature (water, soil, well water), conductivity, pH, and average thaw depth in soil. Chemical analyses for the sample include alkalinity; dissolved inorganic and organic carbon (DIC and DOC); dissolved gas |
| Abstract | |
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| Helen Chmura, 2018 Lapland longspur and Gambel's white crowned sparrow egg and nestling survival near Toolik Field Station, Alaska, summers 2012-2016 . 10.6073/pasta/d56585f4793c93a37669d13a916b0437 |
This data set contains information about the daily status (alive/ dead) of Lapland longspur and Gambel's white-crowned sparrow eggs and nestlings studied near Toolik Field Station from 2012 to 2 |
| Helen Chmura, 2018 Arthropod pitfall trap biomass captured (weekly) and pitfall biomass model predictions (daily) near Toolik Field Station, Alaska, summers 2012-2016.. 10.6073/pasta/2a68a3a7e72d175426edf5cae7904062 |
This data set contains information about the per pitfall trap arthropod biomass captured (or modeled using GAM modelling approaches) near Toolik Field Station from 2012 to 2016 under National Science Foundation (NSF) Office of Polar Programs ARC 0908444 (to Laura Gough), ARC 0908602 (to Natalie Boelman), and ARC 0909133 (to John Wingfield). It is associated with publication DOI: 10.1111/jav.01712. |
| Helen Chmura, 2018 Arthropod biomass captured by sweepnet (weekly) and sweepnet biomass model predictions (daily) near Toolik Field Station, Alaska, summers 2012-2016. 10.6073/pasta/217d7abf85fd5fa048a00ae0a9123d2b |
This data set contains information about the per sample sweepnet arthropod biomass captured (or modeled using GAM modelling approaches) near Toolik Field Station from 2012 to 2016 under National Science Foundation (NSF) Office of Polar Programs ARC 0908444 (to Laura Gough), ARC 0908602 (to Natalie Boelman), and ARC 0909133 (to John Wingfield). It is associated with publication DOI: 10.1111/jav.01712. |
| Helen Chmura, John C Wingfield, Marilyn Ramenofsky, 2020 Autumn departure from breeding site (date and time) in Gambel's white crowned sparrows near Toolik Field Station, Alaska, summers 2014-2016. 10.6073/pasta/a9bf73d9ffef03259089634e81c4a66a |
This data set contains information |
| Abstract | |
|---|---|
| Donald Walker, 1990 Vascular plant species list, Skip Walker's Toolik Lake permanent plot species data, Toolik Lake Field Station, North Slope, AK Arctic LTER 1989.. 10.6073/pasta/c5e0bc2f7bf63454b753418ff33b889c |
Vascular plant species list, Skip Walker's Toolik Lake permanent plot species data |
| Gaius Shaver, Laura Gough, 1998 Vascular plant species list, by quadrat, for harvests of tussock , wet sedge and dry heath tundra and a toposequence which included "shrub/lupine," "riverside willow" and "footslope Equisetum" communities North Slope Alaska, Arctic LTER 1983-1996.. 10.6073/pasta/19d4931588b100dc2a0abc23d849e873 |
Vascular plant species list, by quadrat, for harvests of tussock tundra, wet sedge tundra, dry heath tundra, and a toposequence which also included "shrub/lupine," "riverside willow" and "footslope Equisetum" communities. Includes results of long-term nutrient enrichment, increased temperature, and shade houses in selected tundra types. |
| Abstract | |
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| Andrea Pearce, 2014 Long term response of arctic tussock tundra to thermal erosion features: A modeling analysis. Tussock tundra regrowth after a thermal erosion event: Simulation F - increased N deposition. 10.6073/pasta/04a2ff938b67d9d1dd4e648d370856b6 |
The Multiple Element Limitation (MEL) model is used to simulate the recovery of Alaskan arctic tussock tundra to thermal erosion features (TEFs) caused by permafrost thaw and mass wasting. TEFs could be significant to regional carbon (C) and nutrient budgets because permafrost soils contain large stocks of soil organic matter (SOM) and TEFs are expected to become more frequent as climate warms. These simulations deal only with recovery following TEF stabilization and do not address initial losses of C and nutrients during TEF formation. |
| Andrea Pearce, 2014 Long term response of arctic tussock tundra to thermal erosion features: A modeling analysis. A 100 yr old thermal erosion event response to N fertilization.. 10.6073/pasta/a1464ee098b4693f2aea4078b3e5a35c |
The Multiple Element Limitation (MEL) model is used to simulate the recovery of Alaskan arctic tussock tundra to thermal erosion features (TEFs) caused by permafrost thaw and mass wasting. TEFs could be significant to regional carbon (C) and nutrient budgets because permafrost soils contain large stocks of soil organic matter (SOM) and TEFs are expected to become more frequent as climate warms. These simulations deal only with recovery following TEF stabilization and do not address initial losses of C and nutrients during TEF formation. |
| Andrea Pearce, 2014 Long term response of arctic tussock tundra to thermal erosion features: A modeling analysis. Tussock tundra control simulation. 10.6073/pasta/46323340d5b33913e9399e750cb3600b |
The Multiple Element Limitation (MEL) model is used to simulate the recovery of Alaskan arctic tussock tundra to thermal erosion features (TEFs) caused by permafrost thaw and mass wasting. TEFs could be significant to regional carbon (C) and nutrient budgets because permafrost soils contain large stocks of soil organic matter (SOM) and TEFs are expected to become more frequent as climate warms. These simulations deal only with recovery following TEF stabilization and do not address initial losses of C and nutrients during TEF formation. |
| Andrea Pearce, 2014 Long term response of arctic tussock tundra to thermal erosion features: A modeling analysis. A 100 yr old thermal erosion event response to NP fertilization.. 10.6073/pasta/f7bb757427c523e546489a2f4cf957d4 |
The Multiple Element Limitation (MEL) model is used to simulate the recovery of Alaskan arctic tussock tundra to thermal erosion features (TEFs) caused by permafrost thaw and mass wasting. TEFs could be significant to regional carbon (C) and nutrient budgets because permafrost soils contain large stocks of soil organic matter (SOM) and TEFs are expected to become more frequent as climate warms. These simulations deal only with recovery following TEF stabilization and do not address initial losses of C and nutrients during TEF formation. |
| Andrea Pearce, 2014 Long term response of arctic tussock tundra to thermal erosion features: A modeling analysis. Tussock tundra regrowth after a thermal erosion event: Simulation E - reduced Phase I soil organic matter. 10.6073/pasta/5534808e2359f56db12593fde6bb42d0 |
The Multiple Element Limitation (MEL) model is used to simulate the recovery of Alaskan arctic tussock tundra to thermal erosion features (TEFs) caused by permafrost thaw and mass wasting. TEFs could be significant to regional carbon (C) and nutrient budgets because permafrost soils contain large stocks of soil organic matter (SOM) and TEFs are expected to become more frequent as climate warms. These simulations deal only with recovery following TEF stabilization and do not address initial losses of C and nutrients during TEF formation. |
| Andrea Pearce, 2014 Long term response of arctic tussock tundra to thermal erosion features: A modeling analysis. A 100 yr old thermal erosion event under control conditions.. 10.6073/pasta/8adc3b89c8c73fe1870ad82536575f99 |
The Multiple Element Limitation (MEL) model is used to simulate the recovery of Alaskan arctic tussock tundra to thermal erosion features (TEFs) caused by permafrost thaw and mass wasting. TEFs could be significant to regional carbon (C) and nutrient budgets because permafrost soils contain large stocks of soil organic matter (SOM) and TEFs are expected to become more frequent as climate warms. These simulations deal only with recovery following TEF stabilization and do not address initial losses of C and nutrients during TEF formation. |
| Andrea Pearce, 2014 Long term response of arctic tussock tundra to thermal erosion features: A modeling analysis. Tussock tundra regrowth after a thermal erosion event: Simulation A - increased Phase II soil organic matter. 10.6073/pasta/83564c3cce28be248d93b384d58ffda1 |
The Multiple Element Limitation (MEL) model is used to simulate the recovery of Alaskan arctic tussock tundra to thermal erosion features (TEFs) caused by permafrost thaw and mass wasting. TEFs could be significant to regional carbon (C) and nutrient budgets because permafrost soils contain large stocks of soil organic matter (SOM) and TEFs are expected to become more frequent as climate warms. These simulations deal only with recovery following TEF stabilization and do not address initial losses of C and nutrients during TEF formation. |
| Andrea Pearce, 2014 Long term response of arctic tussock tundra to thermal erosion features: A modeling analysis. A 100 yr old thermal erosion event response to P fertilization.. 10.6073/pasta/7d253bd599910b0a6497c83d74369f32 |
The Multiple Element Limitation (MEL) model is used to simulate the recovery of Alaskan arctic tussock tundra to thermal erosion features (TEFs) caused by permafrost thaw and mass wasting. TEFs could be significant to regional carbon (C) and nutrient budgets because permafrost soils contain large stocks of soil organic matter (SOM) and TEFs are expected to become more frequent as climate warms. These simulations deal only with recovery following TEF stabilization and do not address initial losses of C and nutrients during TEF formation. |
| Andrea Pearce, 2014 Long term response of arctic tussock tundra to thermal erosion features: A modeling analysis. Tussock tundra regrowth after a thermal erosion event: Simulation I - doubled Phase I decomposition. 10.6073/pasta/3171b861f8c2009bdd2d1acdf5738179 |
The Multiple Element Limitation (MEL) model is used to simulate the recovery of Alaskan arctic tussock tundra to thermal erosion features (TEFs) caused by permafrost thaw and mass wasting. TEFs could be significant to regional carbon (C) and nutrient budgets because permafrost soils contain large stocks of soil organic matter (SOM) and TEFs are expected to become more frequent as climate warms. These simulations deal only with recovery following TEF stabilization and do not address initial losses of C and nutrients during TEF formation. |
| Andrea Pearce, 2014 Long term response of arctic tussock tundra to thermal erosion features: A modeling analysis. Tussock tundra regrowth after a thermal erosion event: Simulation J - doubled Phase II decomposition. 10.6073/pasta/56b00b38bd5dd8c1dc2b1b8b0b1255a8 |
The Multiple Element Limitation (MEL) model is used to simulate the recovery of Alaskan arctic tussock tundra to thermal erosion features (TEFs) caused by permafrost thaw and mass wasting. TEFs could be significant to regional carbon (C) and nutrient budgets because permafrost soils contain large stocks of soil organic matter (SOM) and TEFs are expected to become more frequent as climate warms. These simulations deal only with recovery following TEF stabilization and do not address initial losses of C and nutrients during TEF formation. |
| Andrea Pearce, 2014 Long term response of arctic tussock tundra to thermal erosion features: A modeling analysis. Tussock tundra regrowth after a thermal erosion event: Simulation H - increased N and P deposition. 10.6073/pasta/4f6210c24640c0070a871ca95cd53b9f |
The Multiple Element Limitation (MEL) model is used to simulate the recovery of Alaskan arctic tussock tundra to thermal erosion features (TEFs) caused by permafrost thaw and mass wasting. TEFs could be significant to regional carbon (C) and nutrient budgets because permafrost soils contain large stocks of soil organic matter (SOM) and TEFs are expected to become more frequent as climate warms. These simulations deal only with recovery following TEF stabilization and do not address initial losses of C and nutrients during TEF formation. |
| Andrea Pearce, 2014 Long term response of arctic tussock tundra to thermal erosion features: A modeling analysis. Tussock tundra shade house simulation. 10.6073/pasta/8cf3a98c0e86a5b7e17fe9b3ada34199 |
The Multiple Element Limitation (MEL) model is used to simulate the recovery of Alaskan arctic tussock tundra to thermal erosion features (TEFs) caused by permafrost thaw and mass wasting. TEFs could be significant to regional carbon (C) and nutrient budgets because permafrost soils contain large stocks of soil organic matter (SOM) and TEFs are expected to become more frequent as climate warms. These simulations deal only with recovery following TEF stabilization and do not address initial losses of C and nutrients during TEF formation. |
| Andrea Pearce, 2014 Long term response of arctic tussock tundra to thermal erosion features: A modeling analysis. Tussock tundra phosphorus fertilization simulation. 10.6073/pasta/055aebf21d403577c188049995c75ca6 |
The Multiple Element Limitation (MEL) model is used to simulate the recovery of Alaskan arctic tussock tundra to thermal erosion features (TEFs) caused by permafrost thaw and mass wasting. TEFs could be significant to regional carbon (C) and nutrient budgets because permafrost soils contain large stocks of soil organic matter (SOM) and TEFs are expected to become more frequent as climate warms. These simulations deal only with recovery following TEF stabilization and do not address initial losses of C and nutrients during TEF formation. |
| Andrea Pearce, 2014 Long term response of arctic tussock tundra to thermal erosion features: A modeling analysis. Tussock tundra regrowth after a thermal erosion event: Simulation B - increased Phase I soil organic matter. 10.6073/pasta/e75ab68cb99fd5094c4ebcb660986e61 |
The Multiple Element Limitation (MEL) model is used to simulate the recovery of Alaskan arctic tussock tundra to thermal erosion features (TEFs) caused by permafrost thaw and mass wasting. TEFs could be significant to regional carbon (C) and nutrient budgets because permafrost soils contain large stocks of soil organic matter (SOM) and TEFs are expected to become more frequent as climate warms. These simulations deal only with recovery following TEF stabilization and do not address initial losses of C and nutrients during TEF formation. |
| Andrea Pearce, 2014 Long term response of arctic tussock tundra to thermal erosion features: A modeling analysis. Tussock tundra fertilized greenhouse simulation. 10.6073/pasta/e25f1d4053e23f89a1c0e5e93c967553 |
The Multiple Element Limitation (MEL) model is used to simulate the recovery of Alaskan arctic tussock tundra to thermal erosion features (TEFs) caused by permafrost thaw and mass wasting. TEFs could be significant to regional carbon (C) and nutrient budgets because permafrost soils contain large stocks of soil organic matter (SOM) and TEFs are expected to become more frequent as climate warms. These simulations deal only with recovery following TEF stabilization and do not address initial losses of C and nutrients during TEF formation. |
| Andrea Pearce, 2014 Long term response of arctic tussock tundra to thermal erosion features: A modeling analysis. Tussock tundra recovery after a thermal erosion event. 10.6073/pasta/ba85d7312407e90a46fac604467f3ac7 |
The Multiple Element Limitation (MEL) model is used to simulate the recovery of Alaskan arctic tussock tundra to thermal erosion features (TEFs) caused by permafrost thaw and mass wasting. TEFs could be significant to regional carbon (C) and nutrient budgets because permafrost soils contain large stocks of soil organic matter (SOM) and TEFs are expected to become more frequent as climate warms. These simulations deal only with recovery following TEF stabilization and do not address initial losses of C and nutrients during TEF formation. |
| Andrea Pearce, 2014 Long term response of arctic tussock tundra to thermal erosion features: A modeling analysis. Tussock tundra nitrogen and phosphorus fertilization simulation. 10.6073/pasta/fa66c6160400843ee8936df23b91881c |
The Multiple Element Limitation (MEL) model is used to simulate the recovery of Alaskan arctic tussock tundra to thermal erosion features (TEFs) caused by permafrost thaw and mass wasting. TEFs could be significant to regional carbon (C) and nutrient budgets because permafrost soils contain large stocks of soil organic matter (SOM) and TEFs are expected to become more frequent as climate warms. These simulations deal only with recovery following TEF stabilization and do not address initial losses of C and nutrients during TEF formation. |
| Andrea Pearce, 2014 Long term response of arctic tussock tundra to thermal erosion features: A modeling analysis. Tussock tundra regrowth after a thermal erosion event: Simulation D - reduced Phase I and Phase II soil organic matter. 10.6073/pasta/9f471a11c32968f2aebcc27d292a3694 |
The Multiple Element Limitation (MEL) model is used to simulate the recovery of Alaskan arctic tussock tundra to thermal erosion features (TEFs) caused by permafrost thaw and mass wasting. TEFs could be significant to regional carbon (C) and nutrient budgets because permafrost soils contain large stocks of soil organic matter (SOM) and TEFs are expected to become more frequent as climate warms. These simulations deal only with recovery following TEF stabilization and do not address initial losses of C and nutrients during TEF formation. |
| Andrea Pearce, 2014 Long term response of arctic tussock tundra to thermal erosion features: A modeling analysis. Tussock tundra nitrogen fertilized simulation. 10.6073/pasta/be12688c444a9546f2d5fae9182f78f1 |
The Multiple Element Limitation (MEL) model is used to simulate the recovery of Alaskan arctic tussock tundra to thermal erosion features (TEFs) caused by permafrost thaw and mass wasting. TEFs could be significant to regional carbon (C) and nutrient budgets because permafrost soils contain large stocks of soil organic matter (SOM) and TEFs are expected to become more frequent as climate warms. These simulations deal only with recovery following TEF stabilization and do not address initial losses of C and nutrients during TEF formation. |
| Andrea Pearce, 2014 Long term response of arctic tussock tundra to thermal erosion features: A modeling analysis. Tussock tundra recovery after a thermal erosion event: saturating nutrients.. 10.6073/pasta/07cba61c48ce8b31830daac1986d1c21 |
The Multiple Element Limitation (MEL) model is used to simulate the recovery of Alaskan arctic tussock tundra to thermal erosion features (TEFs) caused by permafrost thaw and mass wasting. TEFs could be significant to regional carbon (C) and nutrient budgets because permafrost soils contain large stocks of soil organic matter (SOM) and TEFs are expected to become more frequent as climate warms. These simulations deal only with recovery following TEF stabilization and do not address initial losses of C and nutrients during TEF formation. |
| Andrea Pearce, 2014 Long term response of arctic tussock tundra to thermal erosion features: A modeling analysis. Tussock tundra regrowth after a thermal erosion event: Simulation C - increased Phase I and Phase II soil organic matter. 10.6073/pasta/b3eb66158a1b1d77148ff63d145e8d90 |
The Multiple Element Limitation (MEL) model is used to simulate the recovery of Alaskan arctic tussock tundra to thermal erosion features (TEFs) caused by permafrost thaw and mass wasting. TEFs could be significant to regional carbon (C) and nutrient budgets because permafrost soils contain large stocks of soil organic matter (SOM) and TEFs are expected to become more frequent as climate warms. These simulations deal only with recovery following TEF stabilization and do not address initial losses of C and nutrients during TEF formation. |
| Andrea Pearce, 2014 Long term response of arctic tussock tundra to thermal erosion features: A modeling analysis. Tussock tundra regrowth after a thermal erosion event: Simulation G - increased P deposition. 10.6073/pasta/22cdf3a3353448cb0f819b5121a5c014 |
The Multiple Element Limitation (MEL) model is used to simulate the recovery of Alaskan arctic tussock tundra to thermal erosion features (TEFs) caused by permafrost thaw and mass wasting. TEFs could be significant to regional carbon (C) and nutrient budgets because permafrost soils contain large stocks of soil organic matter (SOM) and TEFs are expected to become more frequent as climate warms. These simulations deal only with recovery following TEF stabilization and do not address initial losses of C and nutrients during TEF formation. |
| Andrea Pearce, 2014 Long term response of arctic tussock tundra to thermal erosion features: A modeling analysis. Tussock tundra greenhouse simulation. 10.6073/pasta/97587f197c22b52ab9e637ffca4fceeb |
The Multiple Element Limitation (MEL) model is used to simulate the recovery of Alaskan arctic tussock tundra to thermal erosion features (TEFs) caused by permafrost thaw and mass wasting. TEFs could be significant to regional carbon (C) and nutrient budgets because permafrost soils contain large stocks of soil organic matter (SOM) and TEFs are expected to become more frequent as climate warms. These simulations deal only with recovery following TEF stabilization and do not address initial losses of C and nutrients during TEF formation. |
| Andrea Pearce, 2014 Long term response of arctic tussock tundra to thermal erosion features: A modeling analysis. Undisturbed tussock tundra. 10.6073/pasta/f83d33ff75b3ab2c690564d7c597b364 |
The Multiple Element Limitation (MEL) model is used to simulate the recovery of Alaskan arctic tussock tundra to thermal erosion features (TEFs) caused by permafrost thaw and mass wasting. TEFs could be significant to regional carbon (C) and nutrient budgets because permafrost soils contain large stocks of soil organic matter (SOM) and TEFs are expected to become more frequent as climate warms. These simulations deal only with recovery following TEF stabilization and do not address initial losses of C and nutrients during TEF formation. |
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| Helen Chmura, 2018 Hourly meteorological data gapfilled for sensor downtimes collected near Toolik Field Station, Alaska, summers 2012-2016. 10.6073/pasta/7368b2e1928127bdf51b9ed7d87e7f52 |
This data set includes meteorological parameters collected near Toolik Field Station from 2012 to 2016 under National Science Foundation (NSF) Office of Polar Programs ARC 0908444 (to Laura Gough), ARC 0908602 (to Natalie Boelman), and ARC 0909133 (to John Wingfield). It also includes meteorological data collected by two additional entities that are available on public repositories. Toolik data reflect data collected by the Toolik Envronmental Data Center and Imnavait data reflect data collected by the Arctic Observatory Network (AON). |
| Helen Chmura, 2018 Presence/absence of new snow-fall scored from time-lapse photography collected near Toolik Field Station, Alaska, summers 2012-2016. 10.6073/pasta/a1d568eef49aabb3c3ff77de4ea2bbcb |
This data set describes the presence/absence of new snowfall approximated daily using time -lapse photography images near Toolik Field Station during summers from 2012 to 2016 under National Science Foundation (NSF) Office of Polar Programs ARC 0908444 (to Laura Gough), ARC 0908602 (to Natalie Boelman), and ARC 0909133 (to John Wingfield). Additional cameras funded by other grants were also used for scoring including multiple Toolik EDC timelapse images taken at Toolik, Atigun Ridge, and Imnavait. |
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| Gaius Shaver, 1998 Phenological stages of evergeen plants were observed at a long term experimental moist tussock tundra site (Arctic LTER) 1996 near Toolik Lake, AK.. 10.6073/pasta/b9499790f4f7cb3e3fe7b91531f732f6 |
Phenological stages of evergeen plants were observed at a long term experimental moist acidic tussock tundra (Arctic LTER) in 1996 near Toolik Lake, AK. Also, ITEX maximum growth measurements were recorded on August 19th (moist tussock tundra). Experimental treatments at each site included factorial NxP, greenhouse and shadehouse and were begun in 1989. See 96gsphdc and 96gsphsg for phenological data on deciduous and sedge species. |
| Gaius Shaver, 1998 Phenological stages of sedges were observed at a long term experimental moist tussock tundra site and a long-term experimental wet sedge tundra sites (Arctic LTER) for 1996 near Toolik Lake, AK.. 10.6073/pasta/7ce217450269be5adbca2fbf595c46dd |
Phenological stages of sedges were observed at a long term experimental moist tussock tundra site and a long-term experimental wet sedge tundra sites near Toolik Lake, AK. Also, ITEX maximum growth measurements were recorded on August 19th (moist tussock tundra). Experimental treatments at each site included factorial NxP, greenhouse and shadehouse and were begun in 1989. See 96gsphdc.html and 96gsphsg.html for phenological data on deciduous and evergeen species. |
| Gaius Shaver, 1998 Phenological stages of deciduous plants were observed at a long term experimental moist acidic tussock tundra site, Arctic LTER 1996 Toolik Lake, AK.. 10.6073/pasta/dd7aca6774ad4dc028c817c45fbd68ae |
Phenological stages of deciduous plants were observed at a long term experimental moist acidic tussock tundra site (Arctic LTER) near Toolik Field Station, AK. Also, ITEX maximum growth measurements were recorded on August 19th (moist tussock tundra). Experimental treatments at each site included factorial NxP, greenhouse and shadehouse and were begun in 1989. See 96gspheg.html and 96gsphsg. html for phenological data on evergreen and sedge species. |
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| George Kling, 2000 Meteorological data collected on Toolik Lake during the ice free season since 1989 to 2009, Arctic LTER, Toolik Research Station, Alaska.. 10.6073/pasta/35a48d475054bb60dcc0de3bd199be40 |
Yearly file describing the metological conditions on Toolik Lake (named the Toolik Lake Climate station), adjacent to the Toolik Field Research Station (68 38'N, 149 36'W). This is a floating climate station and should not be confused with the Toolik Field Station Climate site (TFS Climate Station or Met Station) which is a terrestrial station (located on land). Note that this land station has been called the "Toolik Main Climate Station", and the station on the lake is located where the main lake sampling site is located so it has also been called the Toolik Lake Main Climate Station. |
| George Kling, 2007 Meteorological data collected on Lake E5 during the ice free season since 2000 to present, Arctic LTER, Toolik Research Station, Alaska.. 10.6073/pasta/c0a6a47de1a8378942612fe97297ad85 |
Yearly file describing the metological data on Lake E5 (Lake E5 Climate station) near the Toolik Field Research Station (68 38'N, 149 36'W). Measurements include air temperature, relative humidity, wind direction, and wind speed.. |
| George Kling, 2019 Meteorological data collected on Toolik Lake during the ice free season for 2010-2012, Arctic LTER, Toolik Research Station, Alaska. 10.6073/pasta/7dbf0cfaec3efa3f8bbef703e7cf4825 |
File describing the metological conditions on Toolik Lake (named the Toolik Lake Climate station), adjacent to the Toolik Field Research Station (68 38'N, 149 36'W). This is a floating climate s |
| George Kling, 2022 Meteorological data collected on Toolik Lake during the ice free season for 2014-2020, Arctic LTER, Toolik Research Station, Alaska. 10.6073/pasta/f881ff2cf8d9bd5dc5cef91b5684f870 |
File describing the meteorological conditions on Toolik Lake (named the Toolik Lake Climate station), adjacent to the Toolik Field Research Station (68 38'N, 149 36'W). This is a floating climat |
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| Amanda Koltz, 2018 Effects of experimentally altered wolf spider densities and warming on soil microarthropods, litter decomposition, litter N, and soil nutrients near Toolik Field Station, AK in summer 2012 . 10.6073/pasta/d1fb3658f397c837b1ac49c42c2bdff7 |
Predators can disproportionately impact the structure and function of ecosystems relative to their biomass. These effects may be exacerbated under warming in ecosystems like the Arctic, where the number and diversity of predators are low and small shifts in community interactions can alter carbon cycle feedbacks. Here we show that warming alters the effects of wolf spiders, a dominant tundra predator, on belowground litter decomposition and nutrient dynamics. |
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| George Kling, 1989 Carbon and nitrogen stable isotope values for lake trout from 6 different Arctic lakes near Toolik, Arctic LTER 1987 to 1988.. 10.6073/pasta/ff68d691c59fbfb0b0c37903be1131b7 |
Lake trout were analysed for carbon and nitrogen stable isotope values in 6 Arctic lakes near Toolik Lake at the Arctic LTER in 1987 and 1988. The fish were also analysed for age using otoliths. |
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| Werner Eugster, George Kling, 2014 2013 climate data for eddy flux platform on Toolik Lake, Alaska. 10.6073/pasta/0816934e7515703afb8f3bf4a97a5cf8 |
Yearly file describing the metological conditions on Toolik Lake adjacent to the Toolik Field Research Station (68 38'N, 149 36'W). This location is a floating platform where eddy flux measurements have been made, and should not be confused with either the Toolik Field Station Climate site, which is a land-based station, or the Toolik Lake Climate Station that is lake-based but at a different location (approximately 300 m from the eddy platform). |
| Werner Eugster, George Kling, 2014 2012 climate data for eddy flux platform on Toolik Lake, Alaska. 10.6073/pasta/77cd6f1aceda4d1edca86d29cd09b7d6 |
Yearly file describing the metological conditions on Toolik Lake adjacent to the Toolik Field Research Station (68 38'N, 149 36'W). This location is a floating platform where eddy flux measurements have been made, and should not be confused with either the Toolik Field Station Climate site, which is a land-based station, or the Toolik Lake Climate Station that is lake-based but at a different location (approximately 300 m from the eddy platform). |
| Werner Eugster, George Kling, James A Laundre, 2020 Turbulence and flux data from eddy flux platform on Toolik Lake, Alaska 2009-2015. . 10.6073/pasta/919cd028d73ef4f8427d951148f974ec |
Yearly file describing the turbulence conditions on Toolik Lake including the CH4, CO2 and H2O fluxes over the lake adjacent to the Toolik Field Research Station (68 38'N, 149 36'W). This location is a floating platform where eddy flux measurements have been made, and should not be confused with either the Toolik Field Station Climate site, which is a land-based station, or the Toolik Lake Climate Station that is lake-based but at a different location (approximately 300 m from the eddy platform). |
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| Anne Giblin, George Kling, 2022 Physical and chemical data for various lakes near Toolik Research Station, Arctic LTER. Summer 1975 to 1989.. 10.6073/pasta/588e78d0d92ee947349eda23402543f6 |
Decadal file describing the physical lake parameters recorded at various lakes near Toolik Research Station during summers from 1975 to 1989. Depth profiles at the sites of physical measures were collected in situ. Values measured included temperature, conductivity, pH, dissolved oxygen, Chlorophyll A, Secchi disk depth and PAR. Note that some sample depths also have additional parameters measured and available in separate files for water chemistry and primary production. |
| Anne Giblin, Christopher Luecke, George Kling, 2010 Average Epilimnetic Conductivity from 1992 to present in Tooli Lake, Arctic LTER, Alaska.. 10.6073/pasta/f0b996fef22d56cacd87f60f5dea2cd9 |
Average conductivity of the epilimnion (0-3m of water depth) found in Toolik Lake during the month of July. |
| Anne Giblin, George Kling, 2001 Physical and chemical data for various lakes near Toolik Research Station, Arctic LTER. Summer 2000 to 2009. 10.6073/pasta/791e3cb6288f75f602f23ef3e5532017 |
Decadal file describing the physical/chemical values recorded at various lakes near Toolik Research Station during summers from 2000 to 2009. Sample site descriptors include site, date, time, depth. Depth profiles of physical measures collected in situ with Hydrolab Datasonde in the field include temperature, conductivity, pH, dissolved oxygen in both percent saturation and mg/l, SCUFA chlorophyll-a values in both volts and µg/l, and PAR. |
| Anne Giblin, George Kling, 1991 Physical and chemical data for various lakes near Toolik Research Station, Arctic LTER. Summer 1990 to 1999. 10.6073/pasta/1fd85582de93a281e5e5d3b80df97b52 |
Decadal file describing the physical/chemical values recorded at various lakes near Toolik Research Station during summers from 1990 to 1999. Sample site descriptors include site, date, time, depth. Depth profiles of physical measures collected in situ with Hydrolab Datasonde in the field include temperature, conductivity, pH, dissolved oxygen in both percent saturation and mg/l, SCUFA chlorophyll-a values in both volts and µg/l, and PAR. |
| Anne Giblin, George Kling, 2021 Physical and chemical data for various lakes near Toolik Research Station, Arctic LTER. Summer 2010 to 2021. 10.6073/pasta/76ae1339a928d85193eb15bbe88cee75 |
Decadal file describing the physical/chemical values recorded at various lakes near Toolik Research Station. Sample site descriptors include site, date, time, depth. Depth profiles of physical measures collected in situ with Hydrolab Datasonde in the field include temperature, conductivity, pH, dissolved oxygen in both percent saturation and mg/l, SCUFA chlorophyll-a values in both volts and µg/l, and PAR. |
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| Edward Rastetter, 2005 The role of down-slope water and nutrient fluxes in the response of Arctic hill slopes to climate change, output from MBLGEMIII for typical tussock-tundra hill slope near Toolik Field Station, Alaska.. 10.6073/pasta/8422a982c7303e0291b83bf4b7568312 |
Output data sets of the MBL-GEM III model for a typical tussock-tundra hill slope. The model is described in two papers: Le Dizès, S., Kwiatkowski B.L., Rastetter E.B., Hope A., Hobbie J.E., Stow D., Daeschner S., 2003 Modelling biogeochemical responses of tundra ecosystems to temporal and spatial variations in climate in the Kuparuk River Basin (Alaska), Journal of Geophysical Research Vol. 108 No. D2 10.1029/2001JD000960. |
| Edward Rastetter, 2001 Modeling biogeochemical responses of tundra ecosystems to temporal and spatial variations in climate in the Kuparuk River Basin , Alaska, 1921 to 2100.. 10.6073/pasta/2148914590223c917bffb199ef5fdde5 |
Output data set of the MBL-GEM III model run for tussock tundra in the Kuparuk River Basin, Alaska, described in detail in Le Dizès, S., B. L. Kwiatkowski, E. B. Rastetter, A. Hope, J. E. Hobbie, D. Stow, and S. Daeschner, Modeling biogeochemical responses of tundra ecosystems to temporal and spatial variations in climate in the Kuparuk River Basin (Alaska), J. Geophys. Res., 108(D2), 8165, doi:10.1029/2001JD000960, 2003. |
| Edward Rastetter, Bonnie Kwiatkowski, David Kicklighter, Audrey Baker Potkin, Helene Genet, Jesse Nippert, Kim O'Keefe, Steven Perakis, Stephen Porder, Sarah Roley, Roger Ruess, Jonathan Thomson, William Wieder, Kevin Wilcox, Ruth Yanai, 2022 Steady state carbon, nitrogen, phosphorus, and water budgets for twelve mature ecosystems ranging from prairie to forest and from the arctic to the tropics. 10.6073/pasta/b737b5f0855aa7afeda68764e77aec2a |
We use the Multiple Element Limitation (MEL) model to examine the responses of twelve ecosystems - from the arctic to the tropics and from grasslands to forests - to elevated carbon dioxide (CO2), warming, and 20% decreases or increases in annual precipitation. |
| Edward Rastetter, Bonnie Kwiatkowski, David Kicklighter, Audrey Baker Potkin, Helene Genet, Jesse Nippert, Kim O'Keefe, Steven Perakis, Stephen Porder, Sarah Roley, Roger Ruess, Jonathan Thomson, William Wieder, Kevin Wilcox, Ruth Yanai, 2022 Ecosystem responses to changes in climate and carbon dioxide in twelve mature ecosystems ranging from prairie to forest and from the arctic to the tropics. 10.6073/pasta/7ca56dfbe6c9bedf5126e9ff7e66f28d |
We use the Multiple Element Limitation (MEL) model to examine the responses of twelve ecosystems - from the arctic to the tropics and from grasslands to forests - to elevated carbon dioxide (CO2), warming, and 20% decreases or increases in annual precipitation. |
| Edward Rastetter, Kevin Griffin, Bonnie Kwiatkowski, George Kling, 2022 Model Simulations of The Effects of Shifts in High-frequency Weather Variability (No Long-term Weather Trend) Control Carbon Loss from Land to the Atmosphere, Toolik Lake, Alaska, 2022-2122. 10.6073/pasta/a946904960bb11f44915b80fb4fc5981 |
Climate change is increasing extreme weather events, but effects on high-frequency weather variability and the resultant impacts on ecosystem function are poorly understood. We assessed ecosystem responses of arctic tundra to changes in day-to-day weather variability using a biogeochemical model and stochastic simulations of daily temperature, precipitation, and light. Changes in weather variability altered ecosystem carbon, nitrogen, and phosphorus stocks and cycling rates. |
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| Gaius Shaver, Yuriko Yano, 2009 water chemistry of Imnavait watershed during 2002-2004. 10.6073/pasta/6a2e2065b9039335ac7a2b229204ecd6 |
Water chemistry (NO3, NH4, TDN, DON, DOC) from Imnavait watershed along hillslope. Sample waters were either collected by lysimeters, needle with syringe, or extracting soil with water or 1N KCl. |
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| Sarah Hobbie, 2000 Total soil cations (Al, Ca, K, Mg, Na, P) for intertussock O and B horizon soils on moist acidic and non-acidic tundra, Arctic LTER 1997.. 10.6073/pasta/15beb235b15c465291bbff83e1fce5c3 |
Total soil cations (Al, Ca, K, Mg, Na, P) for intertussock O and B horizon soils on moist acidic and non-acidic tundra. |
| Sarah Hobbie, 2000 Extractable soil cations (K, Ca, Mg, Na) for intertussock O and B horizon soils on moist acidic and non-acidic tundra, Arctic LTER 1997.. 10.6073/pasta/f9f9b49cb92a94f687328ed1a7ca76cb |
Extractable soil cations (K, Ca, Mg, Na) for intertussock O and B horizon soils on moist acidic and non-acidic tundra. |
| Gaius Shaver, Yuriko Yano, 2009 Chloroform-extractableN and d15N within 15N addition plots for Aug 2003. 10.6073/pasta/3afcfb4b01223d351944947a7881a2d6 |
Pool size and d15N values for chloroform-extractable N, extractable-N, and non-extractable N pools. Samples collected in Aug. 2003 from 1st Organic Layer of 15N addition plots in Imnavait watershed. 1st Organic Layer = the upper 10 cm of organic soil or, if the organic layer was < 10 cm thick, the entire layer (e.g., there was never > 4 cm of organic soil at Crest). |
