arctic
| Abstract | |
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| Anne Giblin, George Kling, 1995 Chlorophyll a and primary productivity data for various lakes near Toolik Research Station, Arctic LTER. Summer 1983 to 1989.. 10.6073/pasta/26bc0b31099bafcdf964dd47b0d654ec |
Decadal file describing the chlorophyll a and primary production in various lakes near Toolik Research Station (68 38'N, 149 36'W) during summers from 1983 to 1989. Sample site descriptors include an assigned number (sortchem), site, date of analysis (incubation), time, depth and rates of primary production. The amount of chlorophyll a and pheophytin were also measured. |
| Anne Giblin, George Kling, 2022 Chlorophyll a and primary productivity data for various lakes near Toolik Research Station, Alaska, Arctic LTER. Summer 2010 to 2020. 10.6073/pasta/1981b68e5b34e2a87436cdf76e40b417 |
Decadal file describing the chlorophyll a and primary production in various lakes near Toolik Research Station (68 38'N, 149 36'W) during summers from 2010 to 2020. Sample site descriptors include an assigned number (sortchem), site, date of analysis (incubation), time, depth and rates of primary production. The amount of chlorophyll a and pheophytin were also measured. |
| Anne Giblin, George Kling, 1992 Chlorophyll a and primary productivity data for various lakes near Toolik Research Station, Arctic LTER. Summer 1990 to 1999.. 10.6073/pasta/1b1538449340e68760cf86d92d7082de |
Decadal file describing the chlorophyll a and primary production in various lakes near Toolik Research Station (68 38'N, 149 36'W) during summers from 1990 to 1999. Sample site descriptors include an assigned number (sortchem), site, date of analysis (incubation), time, depth and rates of primary production. The amount of chlorophyll a and pheophytin were also measured. |
| Anne Giblin, George Kling, 1992 Chlorophyll a and primary productivity data for various lakes near Toolik Research Station, Arctic LTER. Summer 2000 to 2009.. 10.6073/pasta/c14fe6e5bb0e2a2c6a74d51a6943c667 |
Decadal file describing the chlorophyll a and primary production in various lakes near Toolik Research Station (68 38'N, 149 36'W) during summers from 2000 to 2009. Sample site descriptors include an assigned number (sortchem), site, date of analysis (incubation), time, depth and rates of primary production. The amount of chlorophyll a and pheophytin were also measured. |
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| George Kling, Rose Cory, 2014 Apparent quantum yield data set for NSF Photochemistry project on the North Slope of Alaska.. 10.6073/pasta/aa2d0ed4ddef6e76c3ef8d6c12460607 |
Data file describing the apparent quantum yield of photo-oxidation, photo-mineralization, and photo-stimulated microbial respiration of dissolved organic carbon in water samples collected at various sites near Toolik Lake on the North Slope of Alaska. A synthesis of the data presented here is published in Cory et al. 2013, PNAS 110:3429-3434, and in Cory et al. 2014, Science 345:925-928. |
| George Kling, Rose Cory, 2014 Light profile data set for NSF Photochemistry project on the North Slope of Alaska.. 10.6073/pasta/8e8cb22fd7ee278168f8eb6ad7e1a48c |
Data file containing the irradiance profile with depth in two rivers on the North Slope of Alaska near Toolik Lake . Variables include site, depth, and wavelength. A synthesis of the data presented here is published in Cory et al. 2013, PNAS 110:3429-3434, and in Cory et al. 2014, Science 345:925-928. |
| George Kling, Rose Cory, 2014 Photochemistry data set for NSF Photochemistry project on the North Slope of Alaska.. 10.6073/pasta/2f9433d6a608e82e1dd4fa23175c1f59 |
Data file containing optical characterization of colored dissolved organic matter (CDOM). Data include CDOM absorption coefficients, water column light attenuation coefficients, specific UV light absorbance (SUVA254), spectral slope ratio, and fluorescence index from waters near Toolik Lake on the North Slope of Alaska. A synthesis of the data presented here is published in Cory et al. 2013, PNAS 110:3429-3434, and in Cory et al. 2014, Science 345:925-928. |
| Abstract | |
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| Andrea Pearce, 2014 Long term response of arctic tussock tundra to thermal erosion features: A modeling analysis. Tussock tundra regrowth after a thermal erosion event: Simulation F - increased N deposition. 10.6073/pasta/04a2ff938b67d9d1dd4e648d370856b6 |
The Multiple Element Limitation (MEL) model is used to simulate the recovery of Alaskan arctic tussock tundra to thermal erosion features (TEFs) caused by permafrost thaw and mass wasting. TEFs could be significant to regional carbon (C) and nutrient budgets because permafrost soils contain large stocks of soil organic matter (SOM) and TEFs are expected to become more frequent as climate warms. These simulations deal only with recovery following TEF stabilization and do not address initial losses of C and nutrients during TEF formation. |
| Andrea Pearce, 2014 Long term response of arctic tussock tundra to thermal erosion features: A modeling analysis. A 100 yr old thermal erosion event response to N fertilization.. 10.6073/pasta/a1464ee098b4693f2aea4078b3e5a35c |
The Multiple Element Limitation (MEL) model is used to simulate the recovery of Alaskan arctic tussock tundra to thermal erosion features (TEFs) caused by permafrost thaw and mass wasting. TEFs could be significant to regional carbon (C) and nutrient budgets because permafrost soils contain large stocks of soil organic matter (SOM) and TEFs are expected to become more frequent as climate warms. These simulations deal only with recovery following TEF stabilization and do not address initial losses of C and nutrients during TEF formation. |
| Andrea Pearce, 2014 Long term response of arctic tussock tundra to thermal erosion features: A modeling analysis. Tussock tundra control simulation. 10.6073/pasta/46323340d5b33913e9399e750cb3600b |
The Multiple Element Limitation (MEL) model is used to simulate the recovery of Alaskan arctic tussock tundra to thermal erosion features (TEFs) caused by permafrost thaw and mass wasting. TEFs could be significant to regional carbon (C) and nutrient budgets because permafrost soils contain large stocks of soil organic matter (SOM) and TEFs are expected to become more frequent as climate warms. These simulations deal only with recovery following TEF stabilization and do not address initial losses of C and nutrients during TEF formation. |
| Andrea Pearce, 2014 Long term response of arctic tussock tundra to thermal erosion features: A modeling analysis. A 100 yr old thermal erosion event response to NP fertilization.. 10.6073/pasta/f7bb757427c523e546489a2f4cf957d4 |
The Multiple Element Limitation (MEL) model is used to simulate the recovery of Alaskan arctic tussock tundra to thermal erosion features (TEFs) caused by permafrost thaw and mass wasting. TEFs could be significant to regional carbon (C) and nutrient budgets because permafrost soils contain large stocks of soil organic matter (SOM) and TEFs are expected to become more frequent as climate warms. These simulations deal only with recovery following TEF stabilization and do not address initial losses of C and nutrients during TEF formation. |
| Andrea Pearce, 2014 Long term response of arctic tussock tundra to thermal erosion features: A modeling analysis. Tussock tundra regrowth after a thermal erosion event: Simulation E - reduced Phase I soil organic matter. 10.6073/pasta/5534808e2359f56db12593fde6bb42d0 |
The Multiple Element Limitation (MEL) model is used to simulate the recovery of Alaskan arctic tussock tundra to thermal erosion features (TEFs) caused by permafrost thaw and mass wasting. TEFs could be significant to regional carbon (C) and nutrient budgets because permafrost soils contain large stocks of soil organic matter (SOM) and TEFs are expected to become more frequent as climate warms. These simulations deal only with recovery following TEF stabilization and do not address initial losses of C and nutrients during TEF formation. |
| Andrea Pearce, 2014 Long term response of arctic tussock tundra to thermal erosion features: A modeling analysis. A 100 yr old thermal erosion event under control conditions.. 10.6073/pasta/8adc3b89c8c73fe1870ad82536575f99 |
The Multiple Element Limitation (MEL) model is used to simulate the recovery of Alaskan arctic tussock tundra to thermal erosion features (TEFs) caused by permafrost thaw and mass wasting. TEFs could be significant to regional carbon (C) and nutrient budgets because permafrost soils contain large stocks of soil organic matter (SOM) and TEFs are expected to become more frequent as climate warms. These simulations deal only with recovery following TEF stabilization and do not address initial losses of C and nutrients during TEF formation. |
| Andrea Pearce, 2014 Long term response of arctic tussock tundra to thermal erosion features: A modeling analysis. Tussock tundra regrowth after a thermal erosion event: Simulation A - increased Phase II soil organic matter. 10.6073/pasta/83564c3cce28be248d93b384d58ffda1 |
The Multiple Element Limitation (MEL) model is used to simulate the recovery of Alaskan arctic tussock tundra to thermal erosion features (TEFs) caused by permafrost thaw and mass wasting. TEFs could be significant to regional carbon (C) and nutrient budgets because permafrost soils contain large stocks of soil organic matter (SOM) and TEFs are expected to become more frequent as climate warms. These simulations deal only with recovery following TEF stabilization and do not address initial losses of C and nutrients during TEF formation. |
| Andrea Pearce, 2014 Long term response of arctic tussock tundra to thermal erosion features: A modeling analysis. A 100 yr old thermal erosion event response to P fertilization.. 10.6073/pasta/7d253bd599910b0a6497c83d74369f32 |
The Multiple Element Limitation (MEL) model is used to simulate the recovery of Alaskan arctic tussock tundra to thermal erosion features (TEFs) caused by permafrost thaw and mass wasting. TEFs could be significant to regional carbon (C) and nutrient budgets because permafrost soils contain large stocks of soil organic matter (SOM) and TEFs are expected to become more frequent as climate warms. These simulations deal only with recovery following TEF stabilization and do not address initial losses of C and nutrients during TEF formation. |
| Andrea Pearce, 2014 Long term response of arctic tussock tundra to thermal erosion features: A modeling analysis. Tussock tundra regrowth after a thermal erosion event: Simulation I - doubled Phase I decomposition. 10.6073/pasta/3171b861f8c2009bdd2d1acdf5738179 |
The Multiple Element Limitation (MEL) model is used to simulate the recovery of Alaskan arctic tussock tundra to thermal erosion features (TEFs) caused by permafrost thaw and mass wasting. TEFs could be significant to regional carbon (C) and nutrient budgets because permafrost soils contain large stocks of soil organic matter (SOM) and TEFs are expected to become more frequent as climate warms. These simulations deal only with recovery following TEF stabilization and do not address initial losses of C and nutrients during TEF formation. |
| Andrea Pearce, 2014 Long term response of arctic tussock tundra to thermal erosion features: A modeling analysis. Tussock tundra regrowth after a thermal erosion event: Simulation J - doubled Phase II decomposition. 10.6073/pasta/56b00b38bd5dd8c1dc2b1b8b0b1255a8 |
The Multiple Element Limitation (MEL) model is used to simulate the recovery of Alaskan arctic tussock tundra to thermal erosion features (TEFs) caused by permafrost thaw and mass wasting. TEFs could be significant to regional carbon (C) and nutrient budgets because permafrost soils contain large stocks of soil organic matter (SOM) and TEFs are expected to become more frequent as climate warms. These simulations deal only with recovery following TEF stabilization and do not address initial losses of C and nutrients during TEF formation. |
| Andrea Pearce, 2014 Long term response of arctic tussock tundra to thermal erosion features: A modeling analysis. Tussock tundra regrowth after a thermal erosion event: Simulation H - increased N and P deposition. 10.6073/pasta/4f6210c24640c0070a871ca95cd53b9f |
The Multiple Element Limitation (MEL) model is used to simulate the recovery of Alaskan arctic tussock tundra to thermal erosion features (TEFs) caused by permafrost thaw and mass wasting. TEFs could be significant to regional carbon (C) and nutrient budgets because permafrost soils contain large stocks of soil organic matter (SOM) and TEFs are expected to become more frequent as climate warms. These simulations deal only with recovery following TEF stabilization and do not address initial losses of C and nutrients during TEF formation. |
| Andrea Pearce, 2014 Long term response of arctic tussock tundra to thermal erosion features: A modeling analysis. Tussock tundra shade house simulation. 10.6073/pasta/8cf3a98c0e86a5b7e17fe9b3ada34199 |
The Multiple Element Limitation (MEL) model is used to simulate the recovery of Alaskan arctic tussock tundra to thermal erosion features (TEFs) caused by permafrost thaw and mass wasting. TEFs could be significant to regional carbon (C) and nutrient budgets because permafrost soils contain large stocks of soil organic matter (SOM) and TEFs are expected to become more frequent as climate warms. These simulations deal only with recovery following TEF stabilization and do not address initial losses of C and nutrients during TEF formation. |
| Andrea Pearce, 2014 Long term response of arctic tussock tundra to thermal erosion features: A modeling analysis. Tussock tundra phosphorus fertilization simulation. 10.6073/pasta/055aebf21d403577c188049995c75ca6 |
The Multiple Element Limitation (MEL) model is used to simulate the recovery of Alaskan arctic tussock tundra to thermal erosion features (TEFs) caused by permafrost thaw and mass wasting. TEFs could be significant to regional carbon (C) and nutrient budgets because permafrost soils contain large stocks of soil organic matter (SOM) and TEFs are expected to become more frequent as climate warms. These simulations deal only with recovery following TEF stabilization and do not address initial losses of C and nutrients during TEF formation. |
| Andrea Pearce, 2014 Long term response of arctic tussock tundra to thermal erosion features: A modeling analysis. Tussock tundra regrowth after a thermal erosion event: Simulation B - increased Phase I soil organic matter. 10.6073/pasta/e75ab68cb99fd5094c4ebcb660986e61 |
The Multiple Element Limitation (MEL) model is used to simulate the recovery of Alaskan arctic tussock tundra to thermal erosion features (TEFs) caused by permafrost thaw and mass wasting. TEFs could be significant to regional carbon (C) and nutrient budgets because permafrost soils contain large stocks of soil organic matter (SOM) and TEFs are expected to become more frequent as climate warms. These simulations deal only with recovery following TEF stabilization and do not address initial losses of C and nutrients during TEF formation. |
| Andrea Pearce, 2014 Long term response of arctic tussock tundra to thermal erosion features: A modeling analysis. Tussock tundra fertilized greenhouse simulation. 10.6073/pasta/e25f1d4053e23f89a1c0e5e93c967553 |
The Multiple Element Limitation (MEL) model is used to simulate the recovery of Alaskan arctic tussock tundra to thermal erosion features (TEFs) caused by permafrost thaw and mass wasting. TEFs could be significant to regional carbon (C) and nutrient budgets because permafrost soils contain large stocks of soil organic matter (SOM) and TEFs are expected to become more frequent as climate warms. These simulations deal only with recovery following TEF stabilization and do not address initial losses of C and nutrients during TEF formation. |
| Andrea Pearce, 2014 Long term response of arctic tussock tundra to thermal erosion features: A modeling analysis. Tussock tundra recovery after a thermal erosion event. 10.6073/pasta/ba85d7312407e90a46fac604467f3ac7 |
The Multiple Element Limitation (MEL) model is used to simulate the recovery of Alaskan arctic tussock tundra to thermal erosion features (TEFs) caused by permafrost thaw and mass wasting. TEFs could be significant to regional carbon (C) and nutrient budgets because permafrost soils contain large stocks of soil organic matter (SOM) and TEFs are expected to become more frequent as climate warms. These simulations deal only with recovery following TEF stabilization and do not address initial losses of C and nutrients during TEF formation. |
| Andrea Pearce, 2014 Long term response of arctic tussock tundra to thermal erosion features: A modeling analysis. Tussock tundra nitrogen and phosphorus fertilization simulation. 10.6073/pasta/fa66c6160400843ee8936df23b91881c |
The Multiple Element Limitation (MEL) model is used to simulate the recovery of Alaskan arctic tussock tundra to thermal erosion features (TEFs) caused by permafrost thaw and mass wasting. TEFs could be significant to regional carbon (C) and nutrient budgets because permafrost soils contain large stocks of soil organic matter (SOM) and TEFs are expected to become more frequent as climate warms. These simulations deal only with recovery following TEF stabilization and do not address initial losses of C and nutrients during TEF formation. |
| Andrea Pearce, 2014 Long term response of arctic tussock tundra to thermal erosion features: A modeling analysis. Tussock tundra regrowth after a thermal erosion event: Simulation D - reduced Phase I and Phase II soil organic matter. 10.6073/pasta/9f471a11c32968f2aebcc27d292a3694 |
The Multiple Element Limitation (MEL) model is used to simulate the recovery of Alaskan arctic tussock tundra to thermal erosion features (TEFs) caused by permafrost thaw and mass wasting. TEFs could be significant to regional carbon (C) and nutrient budgets because permafrost soils contain large stocks of soil organic matter (SOM) and TEFs are expected to become more frequent as climate warms. These simulations deal only with recovery following TEF stabilization and do not address initial losses of C and nutrients during TEF formation. |
| Andrea Pearce, 2014 Long term response of arctic tussock tundra to thermal erosion features: A modeling analysis. Tussock tundra nitrogen fertilized simulation. 10.6073/pasta/be12688c444a9546f2d5fae9182f78f1 |
The Multiple Element Limitation (MEL) model is used to simulate the recovery of Alaskan arctic tussock tundra to thermal erosion features (TEFs) caused by permafrost thaw and mass wasting. TEFs could be significant to regional carbon (C) and nutrient budgets because permafrost soils contain large stocks of soil organic matter (SOM) and TEFs are expected to become more frequent as climate warms. These simulations deal only with recovery following TEF stabilization and do not address initial losses of C and nutrients during TEF formation. |
| Andrea Pearce, 2014 Long term response of arctic tussock tundra to thermal erosion features: A modeling analysis. Tussock tundra recovery after a thermal erosion event: saturating nutrients.. 10.6073/pasta/07cba61c48ce8b31830daac1986d1c21 |
The Multiple Element Limitation (MEL) model is used to simulate the recovery of Alaskan arctic tussock tundra to thermal erosion features (TEFs) caused by permafrost thaw and mass wasting. TEFs could be significant to regional carbon (C) and nutrient budgets because permafrost soils contain large stocks of soil organic matter (SOM) and TEFs are expected to become more frequent as climate warms. These simulations deal only with recovery following TEF stabilization and do not address initial losses of C and nutrients during TEF formation. |
| Andrea Pearce, 2014 Long term response of arctic tussock tundra to thermal erosion features: A modeling analysis. Tussock tundra regrowth after a thermal erosion event: Simulation C - increased Phase I and Phase II soil organic matter. 10.6073/pasta/b3eb66158a1b1d77148ff63d145e8d90 |
The Multiple Element Limitation (MEL) model is used to simulate the recovery of Alaskan arctic tussock tundra to thermal erosion features (TEFs) caused by permafrost thaw and mass wasting. TEFs could be significant to regional carbon (C) and nutrient budgets because permafrost soils contain large stocks of soil organic matter (SOM) and TEFs are expected to become more frequent as climate warms. These simulations deal only with recovery following TEF stabilization and do not address initial losses of C and nutrients during TEF formation. |
| Andrea Pearce, 2014 Long term response of arctic tussock tundra to thermal erosion features: A modeling analysis. Tussock tundra regrowth after a thermal erosion event: Simulation G - increased P deposition. 10.6073/pasta/22cdf3a3353448cb0f819b5121a5c014 |
The Multiple Element Limitation (MEL) model is used to simulate the recovery of Alaskan arctic tussock tundra to thermal erosion features (TEFs) caused by permafrost thaw and mass wasting. TEFs could be significant to regional carbon (C) and nutrient budgets because permafrost soils contain large stocks of soil organic matter (SOM) and TEFs are expected to become more frequent as climate warms. These simulations deal only with recovery following TEF stabilization and do not address initial losses of C and nutrients during TEF formation. |
| Andrea Pearce, 2014 Long term response of arctic tussock tundra to thermal erosion features: A modeling analysis. Tussock tundra greenhouse simulation. 10.6073/pasta/97587f197c22b52ab9e637ffca4fceeb |
The Multiple Element Limitation (MEL) model is used to simulate the recovery of Alaskan arctic tussock tundra to thermal erosion features (TEFs) caused by permafrost thaw and mass wasting. TEFs could be significant to regional carbon (C) and nutrient budgets because permafrost soils contain large stocks of soil organic matter (SOM) and TEFs are expected to become more frequent as climate warms. These simulations deal only with recovery following TEF stabilization and do not address initial losses of C and nutrients during TEF formation. |
| Andrea Pearce, 2014 Long term response of arctic tussock tundra to thermal erosion features: A modeling analysis. Undisturbed tussock tundra. 10.6073/pasta/f83d33ff75b3ab2c690564d7c597b364 |
The Multiple Element Limitation (MEL) model is used to simulate the recovery of Alaskan arctic tussock tundra to thermal erosion features (TEFs) caused by permafrost thaw and mass wasting. TEFs could be significant to regional carbon (C) and nutrient budgets because permafrost soils contain large stocks of soil organic matter (SOM) and TEFs are expected to become more frequent as climate warms. These simulations deal only with recovery following TEF stabilization and do not address initial losses of C and nutrients during TEF formation. |
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| Amanda Koltz, 2018 Effects of experimentally altered wolf spider densities and warming on soil microarthropods, litter decomposition, litter N, and soil nutrients near Toolik Field Station, AK in summer 2012 . 10.6073/pasta/d1fb3658f397c837b1ac49c42c2bdff7 |
Predators can disproportionately impact the structure and function of ecosystems relative to their biomass. These effects may be exacerbated under warming in ecosystems like the Arctic, where the number and diversity of predators are low and small shifts in community interactions can alter carbon cycle feedbacks. Here we show that warming alters the effects of wolf spiders, a dominant tundra predator, on belowground litter decomposition and nutrient dynamics. |
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| George Kling, 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. |
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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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| 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). |
| 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). |
| 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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| George Kling, Rose Cory, 2014 Biogeochemistry data set for NSF Arctic Photochemistry project on the North Slope of Alaska.. 10.6073/pasta/22a3a3fc2dc74b7aabe8a10ab9061cf0 |
Data file describing the biogeochemistry of samples collected at various sites near Toolik Lake on the North Slope of Alaska. Sample site descriptors include a unique assigned number (sortchem), site, date, time, depth, and category (level of thermokarst disturbance). Physical measures collected in the field include temperature, electrical conductivity, and pH. |
