inorganic nutrients
| Abstract | |
|---|---|
| Jay Zarnetske, 2020 High-frequency dissolved organic carbon and nitrate from the Kuparuk River outlet near Toolik Field Station, Alaska, summer 2017-2019. 10.6073/pasta/990958760c13cdd55b574c5202dc19b7 |
Data file describing |
| Jay Zarnetske, William "Breck" Bowden, Benjamin Abbot, 2020 High-frequency dissolved organic carbon and nitrate from the Oksrukuyik Creek outlet near Toolik Field Station,Alaska, summer 2017-2019 . 10.6073/pasta/5d63c098887205597ce0df929467168c |
Data file describing high frequency (every ~10 minutes), optial sensor-derived chemistry of river water from Oksukuyik Creek near Toolik Field Station, North Slope of Alaska. Data file includes date, time, dissolved organic carbon (DOC) concentration, and nitrate concentration. Sensors (V2 s::can uv-vis spectrophotometers) were continuously deployed from June through August or September and optically determined nitrate and dissolved organic carbon concentrations. |
| Jay Zarnetske, William "Breck" Bowden, Benjamin Abbot, 2020 High-frequency dissolved organic carbon and nitrate from the Trevor Creek outlet near Toolik Field Station, Alaska, summer 2017-2019. 10.6073/pasta/3bd6a1d2d9487546f32d46d2943c6e43 |
Data file describing high frequency (every ~10 minutes), optial sensor-derived chemistry of river water from Trevor Creek near Toolik Field Station, North Slope of Alaska. Data file includes date, time, dissolved organic carbon (DOC) concentration, and nitrate concentration. Sensors (V2 s::can uv-vis spectrophotometers) were continuously deployed from June through August or September and optically determined nitrate and dissolved organic carbon concentrations. |
| Benjamin Abbot, 2021 Repeated synoptic watershed chemistry from three watersheds near Toolik Field Station, Alaska, summer 2016-2018 . 10.6073/pasta/258a44fb9055163dd4dd4371b9dce945 |
Data file describing repeated sampling of chemistry of distributed river water from the Kuparuk River, Oksrukuyik Creek, and Trevor Creek watersheds near Toolik Field Station, North Slope of Alaska. Data file includes sampling date, season, sampling point, subcatchment area, and resulting concentrations for a suite of solutes. |
| Abstract | |
|---|---|
| Rose Cory, Jennifer C Bowen, Collin P Ward, George Kling, 2020 Photo-oxidation and photomineralization apparent quantum yield dataset for dissolved organic carbon leached from permafrost soils collected from the North Slope of Alaska, July 2018.. 10.6073/pasta/201f8d4009eec890d937b177da9eb919 |
Dissolved organic carbon (DOC) was leached from permafrost soils near the Toolik Field Station in the Alaskan Arctic and then characterized for its photochemical properties. Oxygen (O2) consumed from photo-oxidation of permafrost DOC was measured as a function of sunlight wavelength, defined as the apparent quantum yield spectrum of photo-oxidation (O2 consumed per mol photon absorbed by DOC). Carbon dioxide (CO2) produced from photomineralization of permafrost DOC was measured as a function of sunlight wavelength, defined as the apparent quantum yield spectrum of photomineralization (CO2 |
| Rose Cory, Jennifer C Bowen, Collin P Ward, George Kling, 2020 Radiocarbon and stable carbon isotopes of CO2 produced from photomineralization of DOC leached from permafrost soils collected from the North Slope of Alaska in the summer of 2018. 10.6073/pasta/ecf54f89183f7bbbb7bd5d931e7323f5 |
Dissolved organic carbon (DOC) was leached from permafrost soils near the Toolik Field Station in the Alaskan Arctic and then characterized for its photochemical properties. The radiocarbon (14C) and stable carbon (13C) isotopic compositions of carbon dioxide (CO2) photochemically produced from permafrost DOC were quantified. |
| Rose Cory, Jennifer C Bowen, Collin P Ward, George Kling, 2020 Preparation of DOC leachates from permafrost soils collected from the North Slope of Alaska in the summer of 2018. 10.6073/pasta/f35194d541f3b55fdd1778e2af52c676 |
Dissolved organic carbon (DOC) was leached from permafrost soils collected from the frozen permafrost layer at five sites underlying moist acidic tussock or wet sedge vegetation, and on three glacial surfaces on the North Slope of Alaska during summer 2018. |
| Rose Cory, Jennifer C Bowen, Collin P Ward, George Kling, 2020 Photomineralization apparent quantum yield at 309 nm for DOC leached from permafrost soils collected from the North Slope of Alaska in the summer of 2015. 10.6073/pasta/489bef4d2aa61e03bb77981605511b1d |
Dissolved organic carbon (DOC) was leached from permafrost soils near the Toolik Field Station in the Alaskan Arctic and then characterized for its photochemical properties. The apparent quantum yield of photomineralization (photochemical carbon dioxide, CO2, production) of permafrost DOC was quantified at 309 nm. |
| Abstract | |
|---|---|
| Jianwu Tang, Ned Fetcher, Michael L Moody, 2019 Absorbed soil nutrients on ion exchange membranes in the reciprocal transplant gardens at Toolik Lake, Coldfoot, and Sagwon in 2016. 10.6073/pasta/86225c3c1a98be0780d092f8b8bf9943 |
Transplant gardens at Toolik Lake and Sagwon were established in 2014. At each location, 60 tussocks each from ecotypes of Eriophorum vaginatum from Coldfoot (CF, 67°15′32″N, 150°10′12″W), Toolik Lake (TL, 68°37′44″N, 149°35′0″W), and Sagwon (SG, 69°25′26″N, 148°42′49″W) were transplanted. At the reciprocal transplant gardens, ion exchange membranes were used to measure nutrient availability over two time periods: Early season (June) and mid season (July). Membranes were deployed in the field for either 20 or 21 days, depending on travel constraints. |
| Abstract | |
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| Edward Rastetter, 2020 Model output, drivers and parameters for Ecosystem Recovery from Disturbance is Constrained by N Cycle Openness, Vegetation-Soil N Distribution, Form of N Losses, and the Balance Between Vegetation and Soil-Microbial Processes . 10.6073/pasta/24624a295f418f36ae90c99ab49bca07 |
Files used to generate the data for figures in: Rastetter, EB, Kling, GW, Shaver, GR, Crump, BC, Gough, L. Ecosystem Recovery from Disturbance Is Constrained by N Cycle Openness, Vegetation-Soil N Distribution, Form of N Losses, and the Balance between Vegetation and Soil-Microbial Processes. Ecosystems (2020). https://doi.org/10.1007/s10021-020-00542-3. |
| Edward Rastetter, Bonnie Kwiatkowski, 2020 Model executable, output, drivers and parameters for modeling organism acclimation to changing availability of and requirements for substitutable and interdependent resources. 10.6073/pasta/314852535992295685284214cc0ae78b |
Files used to generate the data for figures in: Rastetter, EB, Kwiatkowski, BL. An approach to modeling resource optimization for substitutable and interdependent resources. Ecological Modelling (2020). https://doi.org/10.1016/j.ecolmodel.2020.109033. This paper presents a hierarchical approach to modeling organism acclimation to changing availability of and requirements for substitutable and interdependent resources. Substitutable resources are resources that fill the same metabolic or stoichiometric need of the organism. |
| Abstract | |
|---|---|
| Donald Schell, 1990 Arctic LTER 1988: del 13C and del 15N ratios measurement for Eriophorum, Carex and lichen species in water tracks at Toolik and Imnavait Creek. 10.6073/pasta/d1771a19979f042e44a1813fe935c426 |
del 13C and del 15N ratios were measured for plant and lichen in watertracks in the Toolik Lake drainage and the east facing slope of the Imnavait Creek area. Sampling locations for each species for a specific date were chosen across an elevation gradient starting from the lakeside and leading to ridge crest. The vegetation was dried and analyzed for stable isotopes. |
| Abstract | |
|---|---|
| George Kling, 2012 Chemistry from thermokarst impacted soils, lakes, and streams near Toolik Lake Alaska, 2008-2011.. 10.6073/pasta/2e55d1587290e642938ac1a6caed6ec6 |
This file contains data collected from thermokarst impacted soils, lakes, and streams near Toolik Lake Alaska. Data are also presented for experimental manipulations of water (e.g., time course experiments). Sample descriptors include a unique sortchem #, site, date, time, depth, distance, elevation, treatment, date-time, category, and water type (e.g., lake, surface, soil). Physical/chemical measures collected in the field include temperature, conductivity, and pH. |
| Abstract | |
|---|---|
| George Kling, 2019 Toolik Lake Inlet discharge data collected during summers of 2010 to 2018, Arctic LTER, Toolik Research Station, Alaska.. 10.6073/pasta/169d1bae55373c44a368727573ef70eb |
Stream discharge, temperature, and conductivity of Toolik Lake Inlet stream for 2010 - 2018 study season. Water level was recorded with a Stevens PGIII Pulse Generator and Conductivity (EC) and Temperature measured with a Campbell Scientific Model 247 Conductivity and Temperature probe. |
| Abstract | |
|---|---|
| Erik Hobbie, John Moore, 2017 Carbon and nitrogen isotopes and concentrations in terrestrial plants from a six-year (2006-2012) fertilization experiment at the Arctic LTER, Toolik Field Station, Alaska.. 10.6073/pasta/011d1ba5f14fc9057dd67ff201174543 |
The data set describes stable carbon and nitrogen isotopes and carbon and nitrogen concentrations from an August 2012 pluck of a fertilization experiment begun in 2006. Fertilization was with nitrogen (N) and phosphorus (P). Fertilization levels included control, F2, F5, and F10, with F2 corresponding to yearly additions of 2 g/m2 N and 1 g/m2 P, F5 corresponding to yearly additions of 5 g/m2 N and 2.5 g/m2 P, and F10 corresponding to yearly additions of 10 g/m2 N and 5 g/m2 P. After harvest, plants were separated by species and then by tissue. |
| Abstract | |
|---|---|
| George Kling, 2013 Biogeochemistry data set for soil waters, streams, and lakes near Toolik on the North Slope of Alaska.. 10.6073/pasta/574fd24522eee7a0c07fc260ccc0e2fa |
Data file describing 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), 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, average thaw depth, well height, discharge, stage height, and light (lakes). |
| George Kling, 2013 Biogeochemistry data set for soil waters, streams, and lakes near Toolik on the North Slope of Alaska, 2011.. 10.6073/pasta/362c8eeac5cad9a45288cf1b0d617ba7 |
Data file describing 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), 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, average thaw depth, well height, discharge, stage height, and light (lakes). |
| 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 | |
|---|---|
| William "Breck" Bowden, 2020 Arctic LTER Streams Chemistry Toolik Field Station, Alaska 1978 to 2019.. 10.6073/pasta/3faacd18b63b3bacc5a0dbd6f09660e1 |
Since 1983, the Streams Project at the Toolik Field Station has monitored physical, chemical, and biological parameters in a 5-km, fourth-order reach of the Kuparuk River near its intersection with the Dalton Highway and the Trans-Alaska Pipeline. In 1989, similar studies were begun on a 3.5-km, third-order reach of a second stream, Oksrukuyik Creek. |
| Abstract | |
|---|---|
| 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. |
| Abstract | |
|---|---|
| Anne Giblin, George Kling, 2022 Water chemistry data for various lakes near Toolik Research Station, Arctic LTER. Summer 2010 to 2021. 10.6073/pasta/35879c60c852eeef54f09e4be8b41042 |
Note: Corrections were made to Particulate phosphorus values. See version 5 notes. |
| Abstract | |
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| George Kling, 2019 Biogeochemistry data set for Imnavait Creek Weir on the North Slope of Alaska 2002-2018. 10.6073/pasta/733c73c6ebffeaec6970b2b0f4dddfe6 |
Data file containing biogeochemical data of water samples collected in Imnavait Creek, North Slope of Alaska. Sample site descriptors include a unique assigned number (sortchem), site, date, time, depth, distance (downstream), and elevation. Values of variables measured in the field include temperature, conductivity, pH. Chemical analysis for samples include alkalinity, dissolved organic carbon, inorganic and total dissolved nutrients particulate carbon, nitrogen, and phosphorus, cations and anions. |
| Abstract | |
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| George Kling, Christopher Luecke, 2007 Concentration of dissolved inorganic carbon (DIC), carbon and nitrogen concentrations, C:N ratios and del 13C isotope value for lakes and rivers on North Slope from Brooks Range to Prudhoe Bay, Arctic LTER 1988 to 2005. 10.6073/pasta/6341694e9d7155735d17da7001014e18 |
Composite file describing plant, animal, water, and sediment samples collected at various sites near Toolik Research Station (68 38'N, 149 36'W). Sample site descriptors include an assigned number specific to the file, a number that relates the samples to other samples collected on the same date and time (sortchem), site, date, time, and depth. Samples are identified by type, category, and a short description. Data include isotope values, carbon and nitrogen concentrations, and C:N ratios of samples. |
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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. |
| Abstract | |
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| 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, Laura Gough, Jennie McLaren, Natalie Boelman, 2021 Modeling the effect of explicit vs implicit representaton of grazing on ecosystem carbon and nitrogen cycling in response to elevated carbon dioxide and warming in arctic tussock tundra, Alaska - Dataset B. 10.6073/pasta/5f95c98e963409a447322b205bbc7f62 |
We use a simple model of coupled carbon and nitrogen cycles in terrestrial ecosystems to examine how explicitly representing grazers versus having grazer effects implicitly aggregated in with other biogeochemical processes in the model alters predicted responses to elevated carbon dioxide and warming. The aggregated approach can affect model predictions because grazer-mediated processes can respond differently to changes in climate from the processes with which they are typically aggregated. |
| Edward Rastetter, Kevin Griffin, Laura Gough, Jennie McLaren, Natalie Boelman, 2021 Modeling the effect of explicit vs implicit representaton of grazing on ecosystem carbon and nitrogen cycling in response to elevated carbon dioxide and warming in arctic tussock tundra, Alaska - Dataset A. 10.6073/pasta/e8f2890db0a7a64a76580cadb47b472c |
We use a simple model of coupled carbon and nitrogen cycles in terrestrial ecosystems to examine how explicitly representing grazers versus having grazer effects implicitly aggregated in with other biogeochemical processes in the model alters predicted responses to elevated carbon dioxide and warming. The aggregated approach can affect model predictions because grazer-mediated processes can respond differently to changes in climate from the processes with which they are typically aggregated. |
| Abstract | |
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| Gaius Shaver, 2006 Bulk precipitation collected during summer months on a per rain event basis at Toolik Field Station, North Slope of Alaska, Arctic LTER 1988 to 2007.. 10.6073/pasta/410d11b9f95caf846e5fb6959145a4de |
Bulk precipitation was collected during summer months (June, July and August) on a per rain event basis at the University of Alaska Fairbanks Toolik Field Station, North Slope of Alaska (68 degrees 37' 42"N, 149 degrees 35' 46"W). Analysis of pH, NH4-N and phosphorus were performed at the field station. NO3-N were frozen and analyzed in Woods Hole, MA |
| Gaius Shaver, 2006 Precipitation cations and anions for June, July and August from a wet/dry precipitation, University of Alaska Fairbanks Toolik Field Station, North Slope of Alaska (68 degrees 37' 42"N, 149 degrees 35' 46"W), Arctic LTER 1989 to 2003. 10.6073/pasta/d59fb55e6934f4f90bd652399a2e76f8 |
Precipitation, collected from a wet/dry precipitation collector located near University of Alaska Fairbanks Toolik Field Station, North Slope of Alaska (68 degrees 37' 42"N, 149 degrees 35' 46"W) was sent out for standardized EPA rain water analysis. Nutrient chemistry was also run on a sub sample at the field station. |
| Gaius Shaver, 2004 Inorganic Nitrogen and phosphorus were analyzed on snow samples taken from two snow pits near the long-term acrtic LTER mesic acidic tussock experimental plots Toolik Field Station 2003. 10.6073/pasta/dd5fc68975ac6158633ccf11c91aa1c7 |
Inorganic Nitrogen and phosphorus were analyzed on snow samples taken from two snow pits near the long-term acrtic LTER mesic acidic tussock experimental plots. The snow layers in each pit were described and sampled separtely with the help of Matthrew Sturm. |
| Abstract | |
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| Gaius Shaver, Yuriko Yano, 2006 NO3 and NH4 collected by resin bags in 15N addition plots during 2003-2004. 10.6073/pasta/c98aee0d4a8c4023107c26588e6227d5 |
Concentrations of NO3 and NH4 and d15N of NO3 and NH4 collected on resin bags from 15N addition plots along hillslope in Imnavait watershed. |
| Abstract | |
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| Donald Schell, 1993 Arctic LTER 1991: Percent moisture, bulk density, percent loss on ignition and percent organic carbon were measured for peat collected from soils in the Imnavait Creek watershed.. 10.6073/pasta/027e46f118de965c56f556b76518c06f |
Percent moisture, bulk density, percent loss on ignition and percent organic carbon were measured for peat collected from soils in the Imnavait Creek watershed. |
| 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. |
| Julia Reiskind, Michelle Mack, Jennie DeMarco, 2014 Carbon/Nitrogen Status Including Protease Activities of Arctic Soils Associated with Shrubs of Varying Height around Toolik Field Station, Alaska 2009.. 10.6073/pasta/71cc8c540aad45c1d774b35fdcf80ac0 |
Organic and mineral soil cores were collected from 18 transects differentiated by shrub height into three replica groups: high (average 64 cm ± SE 1.01); medium (39 ± SE 1); and low (18 ± SE 0.4); and percent plant functional group cover. Replica sample cores were taken from each transect, and after homogenization and K2SO4 extraction, if required, samples were analyzed for % C (carbon) and N (nitrogen); non-purgeable organic C (NPOC); total N (TN); dissolved inorganic and organic N (DIN, DON); microbial biomass C (MB-C) and N (MB-N). |
| 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. |
| Jennie DeMarco, Michelle Mack, 2009 Net nitrogen mineralization from shrub gradient and snow manipulations, near Toolik field station, collect in the summer of 2006 and winter of 2006-2007. 10.6073/pasta/d63fe4fe5d2725aaa8732f1ae6548028 |
In arctic tundra, near Toolik Lake, Alaska, we quantified net N-mineralization rates under ambient and manipulated snow treatments at three different plant communities that varied in abundance and height of deciduous shrubs. |
| Laura Gough, 2000 Plant available NH4, NO3, and PO4 was determined at three site (LTER Toolik acidic and nonacidic tundra and Sagwon acidic tundra) and three community combinations (tussock, watertrack, and snowbed) Arctic LTER 1997.. 10.6073/pasta/b5f5ca168b82ffc3db6522a489a90c7f |
Plant available NH4, NO3, and PO4 was determined at three site (LTER Toolik acidic tundra, LTER Toolik nonacidic tundra, and Sagwon acidic tundra) and three community combinations (tussock, watertrack, and snowbed), three times during the season. pH was also determined in July and strong acid phosphorous in August. |
| Gaius Shaver, 2005 Plant available NH4, NO3, and PO4 was determined at sites near ARC LTER Toolik acidic tundra and at a toposequence along the floodplain of the Sagavanirktuk River using 2 N KCL and weak HCL extracts, Arctic LTER 1987 to 2002. 10.6073/pasta/48fd52a09bf83e6c6bcecb49b48e9358 |
Plant available NH4, NO3, and PO4 was determined at sites near ARC LTER Toolik acidic tundra and at a toposequence along the floodplain of the Sagavanirktuk River using 2 N KCL and weak HCL extracts. This file complies data collected at different times from 1987 through 2001 and includes initial extracts taken for buried bag method of net nitrogen mineralization. |
| Gaius Shaver, 2006 Nitrogen mineralization was determined on Arctic LTERToolik and Sag River tussock tundra using the buried bag method, Toolik Field Station, Alaska, Arctic LTER 1989-2013.. 10.6073/pasta/79e01a508bb9021e265eec2a8201b2f9 |
Nitrogen mineralization was determined on LTER and Sag River tussock tundra using the buried bag method. Yearly bags have been deployed every August since 1990. |
| Jennie McLaren, 2018 Multiple biogeochemical variables were measured for organic and mineral soils on Arctic LTER experimental plots in moist acidic and non-acidic tundra, Arctic LTER Toolik Field Station, Alaska 2013.. 10.6073/pasta/2302b3a5eab56970aa4e4f71d36b7fce |
Measures of soil nutrient content (available N and P, Extractable N and P, Total C, N and P), and microbial biomass and activity (exoenzyme activity) were measured for organic and mineral soils on Arctic LTER experimental plots at Toolik field station in moist acidic and non-acidic tundra (organic soils only). |
| Jennie McLaren, 2019 Soil biogeochemical variables collected on the Arctic Long Term Ecological Research (ARC LTER) experimental plots in moist acidic and dry heath tundra, Arctic LTER Toolik Field Station, Alaska 2017. 10.6073/pasta/5a5cbb785bde48522bde7b87c65d3c13 |
Soil nutrients ( |
| Abstract | |
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| Gaius Shaver, 2013 Percent carbon and nitrogen of leaves from shoots harvested at three levels in the canopy from 19 plots dominated by S. pulchra and B. nana shrubs near LTER Shrub plots at Toolik Field Station, AK the summer of 2012.. 10.6073/pasta/6e98f40b0cd7e611f62494b68a938244 |
The percent carbon and nitrogen from leaves of shoots harvested from 1m x 1m point frame plots the summer of 2012 at Toolik Lake, Alaska. were measured on a ThermoScientific 2000. For each point frame plot, six shoots were harvested from upper, middle, and low sections of the canopy. The photosynthetic capacity of each shoot was analyzed with a LiCor 6400 infra-red gas analyzer by being run through a light response and A/Ci curve. |
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| , Arctic Coupled biological and photochemical degradation of dissolved organic carbon . |
