substrates
| Abstract | |
|---|---|
| George Kling, 2007 Imnavait Watershed Thaw Depth Survey Summary for 2003 to present, Arctic LTER, Toolik Research Station, Alaska.. 10.6073/pasta/022a6e4bfee8329b5fd40b7691494e1d |
Thaw depth was measured using a steel probe in the Imnavait Creek watershed, near Toolik Lake, Alaska. The thaw grid includes measurements made from the valley bottom (on both sides of the stream), up the hillslope to the hilltop (watershed boundary). The thaw grid is near Imnavait water tracks 7 and 8, and measurements have been made from the 2003 season until present. Two surveys are conducted each summer, on 2 July and on 11 August (plus or minus 1-2 days on either side of those dates). |
| Abstract | |
|---|---|
| Michelle Mack, 2011 Burned soil surface radiocarbon values for moss macrofossils plucked from the Anaktuvuk River Fire sites. 10.6073/pasta/728ade46a3372446d391943c97141949 |
We used radiocarbon dating of the organic soil surface remaining post-fire to examine whether the fire burned into ancient and likely irreplaceable soil C pools. Suprisingly, it did not; all radiocarbon dates from burned soil surfaces contained bomb carbon, setting the maximum age of the burned soil surfaces at ~50 years. |
| Michelle Mack, 2011 Characterization of burned and unburned moist acidic tundra soils for estimating C and N loss from the 2007 Anaktuvuk River Fire, sampled in 2008.. 10.6073/pasta/9043cfa962143905d03b4ab67acc8fa7 |
This file contains the soil profile data for burned and unburned moist acidic tundra sites used to estimate C and N loss from the Anaktuvuk River Fire (2007). These sites were sampled in summer of 2008. Unburned sites were used to develop a method for estimating soil organic layer depth and plant biomass, and for determining the characteristics of unburned soil organic layers. In burned sites, we characterized residual organic soils and used biometric measurements of tussocks to reconstruct pre-fire soil organic layer depth. |
| Michelle Mack, 2011 Estimates of C and N loss from moist acidic tundra sites burned in the 2007 Anaktuvuk River Fire.. 10.6073/pasta/92512f58a584bca14ceaf04d062f8ee5 |
Estimated mean pre-fire C and N pools, and C and N loss from 20 sites in the Anaktuvuk River Fire (2007). These sites were sampled in summer of 2008. In each site, we characterized residual organic soils and used biometric relationships developed in unburned sites to reconstruct pre-fire soil organic layer depth, and plant and soil C and N pools. We then estimated fire-driven losses of C and N from plant and soil organic layer pools. |
| Adrian V Rocha, Gaius Shaver, 2015 Anaktuvuk River fire scar thaw depth measurements during the 2008 to 2014 growing season. 10.6073/pasta/93121fc86e6fbcf88de4a9350609aed6 |
The Anaktuvuk River Fire occurred in 2007 on the North Slope of Alaska. In 2008, three eddy covariance towers were established at sites represent ing unburned tundra, moderately burned tundra, and severely burned tundra. Several times during the 2008-2014 growing seasons, thaw depth was measured at approximately 70 points near each of these towers . Data presented here are the individual measurements for each site and date. |
| Adrian V Rocha, Gaius Shaver, 2015 Anaktuvuk River fire scar eriophorum vaginatum flowering during the 2008-2014 growing seasons. 10.6073/pasta/dd7955138eb963a847b861242390a48c |
The Anaktuvuk River Fire occurred in 2007 on the North Slope of Alaska. In 2008, three eddy covariance towers were established at sites representing unburned tundra, moderately burned tundra, and severely burned tundra. Eriophorum vaginatum flowers were counted from annual photographs of each site during peak flowering season (6/17-7/20). |
| Adrian V Rocha, Gaius Shaver, 2015 Anaktuvuk River fire scar canopy reflectance spectra from the 2008-2014 growing seasons, North Slope Alaska.. 10.6073/pasta/ce1f38604169aa052e288f9371a82e92 |
The Anaktuvuk River Fire occurred in 2007 on the North Slope of Alaska. In 2008, three eddy covariance towers were established at sites represent ing unburned tundra, moderately burned tundra, and severely burned tundra. During the 2008-2014 growing seasons, canopy vegetation within the footprint of each of these towers was scanned with a handheld spectrophotometer several times throughout the growing season. Average reflectance spectra per site and collection day are presented here. |
| Abstract | |
|---|---|
| Michael Gooseff, 2013 Peat Inlet well #1 depth in summer 2011. 10.6073/pasta/af320587de86dc41982e3d3db809ea8a |
Data on sensor depth gathered from PIn Well 1 in 2011 from the CSASN-1 project. A HOBO U23 water level logger was used. This data is used to understand frost table changes throughout the season. |
| Michael Gooseff, 2013 Peat Inlet well #2 depth in summer 2011. 10.6073/pasta/6bf2dbe830671802c5ecb3c495f1f058 |
Data on sensor depth gathered from PIn Well 2 in 2011 from the CSASN-1 project. A HOBO U23 water level logger was used. This data is used to understand frost table changes throughout the season. |
| Michael Gooseff, 2013 I8 Inlet well #5 depth in summer 2011. 10.6073/pasta/e997565ef86b7feb70be15ee07ad0294 |
Data on sensor depth gathered from I8In Well 5 in 2011 from the CSASN-1 project. A HOBO U23 water level logger was used. This data is used to understand frost table changes throughout the season. |
| Michael Gooseff, 2013 I8 Inlet well #7 depth in summer 2011. 10.6073/pasta/1085153473ea8df13451b1c0c7fe7bc5 |
Data on sensor depth gathered from I8In Well 7 in 2011 from the CSASN-1 project. A HOBO U23 water level logger was used. This data is used to understand frost table changes throughout the season. |
| Michael Gooseff, 2013 Peat Inlet well #5 depth in summer 2011. 10.6073/pasta/9155d4632738c1328954984fcdd863fe |
Data on sensor depth gathered from I8In Well 5 in 2011 from the CSASN-1 project. A HOBO U23 water level logger was used. This data is used to understand frost table changes throughout the season. |
| Michael Gooseff, 2013 I8 Inlet well #1 depth in summer 2011. 10.6073/pasta/3ea5e43f0da7adb5180d2db46128c3ff |
Data on sensor depth gathered from I8In Well 1 in 2011 from the CSASN-1 project. A HOBO U23 water level logger was used. This data is used to understand frost table changes throughout the season. |
| Michael Gooseff, 2013 I8 Inlet well #4 depth in summer 2011. 10.6073/pasta/b141523b2c8c9fb3bcf70252a0b0dcf9 |
Data on sensor depth gathered from I8In Well 4 in 2011 from the CSASN-1 project. A HOBO U23 water level logger was used. This data is used to understand frost table changes throughout the season. |
| Michael Gooseff, 2013 I8 Inlet well #2 depth in summer 2011. 10.6073/pasta/265e39d591f41f6ec0abfcbf3404e64a |
Data on sensor depth gathered from I8In Well 2 in 2011 from the CSASN-1 project. A HOBO U23 water level logger was used. This data is used to understand frost table changes throughout the season. |
| Michael Gooseff, 2013 Peat Inlet well #4 depth in summer 2011. 10.6073/pasta/eecce1502fa9210fe081d060b9b26775 |
Data on sensor depth gathered from PIn Well 4 in 2011 from the CSASN-1 project. A HOBO U23 water level logger was used. This data is used to understand frost table changes throughout the season. |
| Michael Gooseff, 2013 I8 Inlet well #8 depth in summer 2011. 10.6073/pasta/bf9eb0959d56cc203c97ea52946aad7a |
Data on sensor depth gathered from I8In Well 8 in 2011 from the CSASN-1 project. A HOBO U23 water level logger was used. This data is used to understand frost table changes throughout the season. |
| Michael Gooseff, 2013 I8 Inlet well #6 depth in summer 2011. 10.6073/pasta/b21d76c698fb3143f9006863b1706c05 |
Data on sensor depth gathered from I8In Well 6 in 2011 from the CSASN-1 project. A HOBO U23 water level logger was used. This data is used to understand frost table changes throughout the season. |
| Michael Gooseff, 2013 Peat Inlet well #8 depth in summer 2011. 10.6073/pasta/4cee4ccf5d7edabd50a92fbe863536ca |
Data on sensor depth gathered from PIn Well 8 in 2011 from the CSASN-1 project. A HOBO U23 water level logger was used. This data is used to understand frost table changes throughout the season. |
| Michael Gooseff, 2013 Peat Inlet well #7 depth in summer 2011. 10.6073/pasta/a6da9e77bd4944730f3b8fc38388bec9 |
Data on sensor depth gathered from Pin Well 7 in 2011 from the CSASN-1 project. A HOBO U23 water level logger was used. This data is used to understand frost table changes throughout the season. |
| Michael Gooseff, 2013 Peat Inlet well #6 depth in summer 2011. 10.6073/pasta/11fda032461f0f112b976e1d8830fc52 |
Data on sensor depth gathered from PIn Well 6 in 2011 from the CSASN-1 project. A HOBO U23 water level logger was used. This data is used to understand frost table changes throughout the season. |
| Michael Gooseff, 2013 Peat Inlet well #3 depth in summer 2011. 10.6073/pasta/f0c513552d45b605b9049df9d0ce4dda |
Data on sensor depth gathered from PIn Well 3 in 2011 from the CSASN-1 project. A HOBO U23 water level logger was used. This data is used to understand frost table changes throughout the season. |
| Michael Gooseff, 2013 I8 Inlet well #3 depth in summer 2011. 10.6073/pasta/51ab7dca36232d5f843393ebdcdd7c27 |
Data on sensor depth gathered from I8In Well 3 in 2011 from the CSASN-1 project. A HOBO U23 water level logger was used. This data is used to understand frost table changes throughout the season. |
| William "Breck" Bowden, 2013 Substrate and cover types on the stream bottom determined by point transects for streams near the Toolik Field Station, Alaska, for 2010.. 10.6073/pasta/a3de00f9b8f9d563e8bb2fd37e362bb0 |
The Changing Seasonality of Arctic Stream Systems (CSASN) was active from 2010 to 2012. The CSASN goal was to quantify the relative influences of through flow, lateral inputs, and hyporheic regeneration on the seasonal fluxes C, N, and P in an arctic river network, and to determine how these influences might shift under seasonal conditions that are likely to be substantially different in the future. Point transects were done throughout the sampling season to determine different substrate and cover types on the stream bottom. |
| 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 isotope dataset for DOC leached from permafrost soils collected from the North Slope of Alaska in the summer of 2018. 10.6073/pasta/7a725525fcc5da13615e04e7da2a947c |
Dissolved organic carbon (DOC) was leached from p |
| Rose Cory, Jennifer C Bowen, Collin P Ward, George Kling, 2020 Photodegradation of carboxyl DOC from permafrost soils collected from the North Slope of Alaska in the summer of 2015. 10.6073/pasta/695af896f3079ec15345ac803e442798 |
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 photodegradation of carboxyl carbon (C) within permafrost DOC was quantified by 13C nuclear magnetic resonance (NMR). |
| Rose Cory, Jennifer C Bowen, Collin P Ward, George Kling, 2020 Water chemistry of leachates prepared from permafrost soils collected from the North Slope of Alaska in the summers of 2015 and 2018. 10.6073/pasta/1799c4308272c99d54ef6cf84d5b4232 |
Soils were collected from the frozen permafrost layer (greater than 60 cm below the surface) at six sites underlying tussock or wet sedge vegetation, and on three glacial surfaces on the North Slope of Alaska during the summers of 2015 and 2018. Dissolved organic carbon (DOC) was leached from each permafrost soil and the water chemistry was analyzed. |
| 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 | |
|---|---|
| Alex Huryn, 2022 Invertebrate Community Asemblage from the Arctic LTER Upper Kuparuk River Reference (2001-2012) and Fertilized Reach (2002-2016), Toolik Field Station, Alaska. 10.6073/pasta/7f281726bfa59df3928b774c5baa6cb3 |
Surber sampler (25 X 25 cm frame fitted with a 243 um mesh net) was used to sample invertebrates at on the Kuparuk River in Reference (2001-2012) and Fertilized Reach (2002-2016) reach. |
| Abstract | |
|---|---|
| Thomas Parker, Jianwu Tang, Ned Fetcher, Michael L Moody, 2019 Soil respiration from a mycorrhizal and root exclusion experiment at Toolik Lake Field Station and Anaktuvuk River Burn, Alaska in 2016. 10.6073/pasta/40c946f076355aa2523ee4847f745b51 |
Organic soil from either the Anaktuvik severe burn or Toolik Lake were collected to test of effect of removal of mycorrhizae on decompositon of tundra at Toolik Lake and the Anaktuvuk Burn IN 2016. A licor 6400 with 6400-09 soil respiration chamber was used to measure soil respiration (efflux) from the cores on a weekly basis. |
| Abstract | |
|---|---|
| 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 | |
|---|---|
| Austin Roy, Jennie McLaren, 2022 Soil and plant biogeochemical and soil temperature variables collected at brown lemming (Lemmus trimucronatus) and tundra vole (Microtus oeconomus) structure sties near Nome, Toolik Lake, and Utqaigvik, Alaska, summer 2018-2020. 10.6073/pasta/bfb12a6cf2ccf923df22bce8e4353f69 |
Soil and plant sampling analysis under small mammal-built structures and controls sites from near the Team Vole fences: Nome, Toolik, Utqiagvik, AK 2018-2020. |
| 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. |
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| Natalie Boelman, 2013 Daily landscape-level snow cover percent data from (Rich, et al 2013) TLFS, IMVT, and SDOT sitse, in the northern foothills of the Brooks Range, Alaska,spring 2011 to 2014.. 10.6073/pasta/3e946e77c27235edb42176d2fae5e7d5 |
Daily landscape-level snow cover percent data from Toolik Lake Field Station (TFS), Imnavait (IMVT), and the Sagavanirktok River DOT site (SDOT), in the northern foothills of the Brooks Range, Alaska. Data collected from May to early June 2011 to 2014. |
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| Gaius Shaver, 2012 Reflectance spectra of vegetation near Imnavait Creek, AK from the 2008-2010 growing seasons.. 10.6073/pasta/d5648e8f6376c35fd86f4bd2bd76e4ba |
A spectrophotometer was used to scan the canopy vegetation at four sites near Imnavait Creek each year from 2008 - 2010 by Toolik Lake LTER, Alaska. Reflectance spectra from 310-1130 nm are presented here with information relating the date and site of the scan. |
| Gaius Shaver, 2012 Vegetation indices calculated from canopy reflectance spectra at four sites along Imnavait Creek, AK during the 2008-2010 growing seasons.. 10.6073/pasta/bfa61daf6eeb155376a029cef3f79d84 |
A spectrophotometer was used to scan the canopy vegetation at four sites along Imnavait Creek in the Kuparuk Watershed near Toolik Lake LTER, Alaska. The resulting reflectance spectra were used to calculate average vegetation indices for each site and collection day. |
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| William "Breck" Bowden, 2014 ARCSS/TK stream dissolved organic carbon biodegradability (2011).. 10.6073/pasta/2057860f44b75e4291072a996f2b99b1 |
The (ARCSSTK) did extensive research during 2009-2011 field seasons in Arctic Alaska. The objective of this data set was to measure the quantity and biodegradability of DOC from headwater streams and rivers across three geographic regions and across four natural ‘treatments’ (reference; thermokarst-; burned-, and thermokarst + burned-impacted streams) to evaluate which factors most strongly influence DOC quantity and biodegradablity at a watershed scale. |
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| Michael T Oconnor, Bayani T Cardenas, George Kling, Ann Chen, 2020 Soil stratigraphic data for the Toolik Lake region, North Slope of Alaska 2016-2019. 10.6073/pasta/68ab4e6f628909de50409df766e183d7 |
Soil stratification was determined by measuring the vertical thickness of three main strata (surface acrotelm, mid-depth catotelm, and bottom mineral soil) found in organic-rich or peat soils in the Toolik Lake region, North Slope of Alaska. Additional data for each site include dominant vegetation, landscape position, glacial surface, and microtopography. |
| Michael T Oconnor, Bayani T Cardenas, George Kling, Ann Chen, 2020 Soil hydraulic and thermal properties determined in surface organic and mineral soils in the region near Toolik Lake on the North Slope of Alaska, 2016-2019. 10.6073/pasta/402d7040a9303c0eb667590e0451ef4e |
Soil cores of 5 cm diameter down to frozen |
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| George Kling, 2007 Tussock watershed thaw depth survey summary for 1990 to present, Arctic Long-Term Ecological Research (LTER), Toolik Research Station, Alaska. . 10.6073/pasta/5ec809b760dd8cbc9e979941e29f70cc |
Thaw depth was measured since 1990 using a steel probe in the Tussock watershed just south of Toolik Lake, Alaska, on a gentle slope dominated by moist, non-acidic tussock tundra. At least two surveys are conducted each summer, on 2 July and on 11 August (plus or minus 1 day). |
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| Howard Drossman, John Hobbie, Erik Hobbie, 2011 Soil ergoserol concentration from Abisko Sweden 2007.. 10.6073/pasta/be64d499a06fe406645551be39c6189c |
The data set describes soil ergosterol concentration, which is unique to fungal membranes., from samples from Abisko, Sweden. The samples from Abisko, Sweden, were collected by E.A. Hobbie at a birch forest site and a tundra site. The Abisko sites are described in www.abacus-ipy.org/fieldsites/abisko.html. |
| John (J.C.) Weber, John Hobbie, 2011 Plant litter, soil, plants and fungal fruiting bodies 15N, 13C, percent C and N along Dalton Highway, Alaska 2004, 1990, 2007.. 10.6073/pasta/015d969d9fa8edad701ac0141614472a |
The data set includes 15N and 13C for plant litter, soil, plants and fungal fruiting bodies (mycorrhizae), percent C (soil organic matter and percent N from samples collected in three separate trips (1990, 2004, 2007) along the transect of the Dalton Highway (AK) extending from the Yukon River on the south to Prudhoe Bay on the north. |
| Howard Drossman, John Hobbie, Erik Hobbie, 2011 Soil ergosterol transect Dalton Highway Alaska 2007. 10.6073/pasta/40a48a90a74d43a6f40126ee1074a50e |
The data set describes soil ergosterol concentration, which is unique to fungal membranes., from an Alaska transect . The soil samples from Alaska were collected in a trip from north to south along the Dalton Highway. north of the Yukon River. |
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| Benjamin Crosby, 2013 Water-level and subsurface water temperature at sensor from the Toolik River Thermokarst, 2010-2013. 10.6073/pasta/f76e4598a1b0bd7d269cc1596a07ee81 |
Data were collected to investigate if formation of gully thermokarst (TK) results in lowering of the water table and more rapid evacuation of water from above the frost table. Data were collected from 24 shallow screened wells. 2 replicate rows of 4 wells were located at: (a) a hillslope (HS) ~120m away from the gully TK, (b) perpendicular to the gully TK (TK) and (c) perpendicular to an unimpacted water track (WT) upstream of the gully TK. Note that water levels are the distance below the ground surface and may have organic/peat layers of different thicknesses. |
| Torre Jorgenson, 2013 Permafrost soil database with information on site, topography, geomorphology, hydrology, soil stratigraphy, soil carbon, ground ice isotopes, and vegetation at thermokarst features near Toolik and Noatak River, 2009-2013. 10.6073/pasta/6294610ce5738eb9c7e5d1ce13b54017 |
This database contains soil and permafrost stratigraphy associated with thermokarst features near Toolik Lake and the Noatak River collected by Torre Jorgenson and Andrew Balser during summers 2009-2011. The Access Database has main data tables (tbl_) for site (environmental), soil stratigraphy, soil physical data, soil chemical data, soil isotopes (ground ice), soil radiocarbon dates, topography and bathymetry, and vegetation cover. |
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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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| Gaius Shaver, Laura Gough, 2022 Vegetation indices calculated from reflectance spectra collected at LTER plots at Toolik Lake, Alaska during the 2007-2019 growing seasons.. 10.6073/pasta/c7f5923cc5b929ccdf0d61f461147b3d |
Vegetation indices calculated from reflectance spectra collected at Arctic LTER experimental plots at Toolik Lake, Alaska during the 2007-2019 growing seasons. |
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| 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. |
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| Laura Gough, Austin Roy, 2022 Small mammal structure cover collected at Team Vole fences near Nome, Toolik Lake, and Utqaigvik, Alaska, summer 2019. 10.6073/pasta/e8f1f800c4d632a6178ba3a1928bc0b5 |
Percent cover of tundra vole and brown lemming structures collected from within the Team Vole enclosure/exclosure fences near Nome, Toolik, Utqiagvik, AK 2019. |
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| John Moore, 2013 Extracellular enzyme activities in soils from Arctic LTER moist acidic tundra nutrient addition plots, Toolik Field Station, Alaska, sampled July 2011.. 10.6073/pasta/ea03e558865471f1daf5b15bbce582c2 |
Soil samples were collected from control, and N+P plots from within a set of treatments in Arctic LTER Moist Acidic Tundra plots established in 1989 and in 2006 . At the time of sampling the soil was separated into organic horizon, organic/mineral interface, and the upper 5cm of the mineral soil. In the lab the potential activities of seven hydrolytic enzymes was determined using fluorometric techniques (Saiya-Cork et al. 2002) modified following Steinweg et al(.2012). |
| John Moore, 2013 Soil aggregate size distribution and particulate organic matter content from Arctic LTER moist acidic tundra nutrient addition plots, Toolik Field Station, Alaska, sampled July 2011.. 10.6073/pasta/504c0050d83f759ab7edb74064b8cab3 |
Soil aggregate size distribution, aggregate carbon and nitrogen, and light fraction carbon were determined for mineral soils in moist acidic tundra. Soil was sampled in control, and N+P plots of the Arctic LTER Moist Acidic Tundra plots established in 1989 and 2006. |
| Julia Reiskind, Michelle Mack, Martin Lavoie, 2012 Proteolytic enzyme activity of organic and mineral soil core samples collected near Toolik Lake field station, Alaska, July 2001. 10.6073/pasta/8f9ed5ff1f556c725eb666cce128e859 |
The original focus of this study was an analysis of proteolytic enzyme activity of Alaskan arctic tundra soils, however initial results raised questions regarding the method (Watanabe and Hayano, 1995). Thus, the goals of the study changed to 1) an investigation of the method, and 2) a comparison of enzyme activities of two different soil layers from the arctic tundra. |
| Gaius Shaver, 1993 Extractable NH4-N and NO3-N (2 N KCl), PO4-P (0.025 N HCl) and pH (0.01 M CaCl2) were measured on soils from a transect along the Dalton road, Arctic LTER 1991.. 10.6073/pasta/d2fc50cac67c6ae3659500e1baa2d3a9 |
Extractable NH4-N and NO3-N (2 N KCl), PO4-P (0.025 N HCl) and pH (0.01 M CaCl2) were measured on soils from a transect along the Dalton road. Sites are Gus Shaver flowering sites and Arctic LTER sites. |
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| Gaius Shaver, 2012 Vegetation indices calculated for ITEX harvest plots in 2004-2009 at Toolik, Alaska; Abisko, Sweden; Svalbard, Norway; Zackenberg, Northeast Greenland; and Barrow, Alaska. 10.6073/pasta/273dc3a7f43fb71e90d786fcd69c6c96 |
A spectrophotometer was used to scan the canopy vegetation of ITEX harvest plots. The resulting reflectance spectra were used to calculate several vegetation indices of interest (NDVI, EVI, EVI2, PRI, WBI, Chlorophyll Index). Average values of these vegetation indices for each ITEX harvest plot are presented here. These plots also had biomass harvests performed and were analyzed for leaf area and nitrogen content (see 2003-2009gsharvest.csv, 2003-2009gsharvestLAI-N.csv). |
| Gaius Shaver, 2011 Vegetation indices calculated for ITEX flux plots in 2004-2009 at Toolik, Alaska; Abisko, Sweden; Svalbard, Norway; Zackenberg, Northeast Greenland; and Barrow, Alaska. 10.6073/pasta/b11455d590fcb9eed893b86425590f15 |
A spectrophotometer was used to scan the canopy vegetation of ITEX flux plots. The resulting reflectance spectra were used to calculate several vegetation indices of interest (NDVI, EVI, EVI2, PRI, WBI, Chlorophyll Index). Average values of these vegetation indices for each ITEX flux plot are presented here. |
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| William "Breck" Bowden, 2014 Physical site characteristics for the ARCSS/TK stream dissolved organic carbon biodegradability (2011) data set.. 10.6073/pasta/251cd2feee2adcab246208e77abd5985 |
The (ARCSSTK) did extensive research during 2009-2011 field seasons in Arctic Alaska. The objective of this data set was to measure the quantity and biodegradability of DOC from headwater streams and rivers across three geographic regions and across four natural ‘treatments’ (reference; thermokarst-; burned-, and thermokarst + burned-impacted streams) to evaluate which factors most strongly influence DOC quantity and biodegradablity at a watershed scale. This table provides physical site characteristics for the locations sampled for stream water biodegradability. |
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| Jeff Welker, Paddy Sullivan, 2011 Welker IPY snow fence shrub site soil temperatures and soil water content Toolik, Alaska 2008.. 10.6073/pasta/4966e339bb9da53ce005bc75b84eab56 |
Soil temperature from three locations on the eastern side of the Toolik River where by snow fences were established as part of IPY. This is a study of how soil temperatures at 10 cm and soil moisture change across the summer at our IPY snow fence site . |
