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  • 1
    Publication Date: 2023-05-12
    Keywords: Abisko_ANS; Abisko, Lappland, northern Sweden; Abisko Scientific Research Station; Biological sample; BIOS; Elevation of event; Environment; Event label; Joatka_Fjellstue; Latitude of event; Longitude of event; Norway; Seiland; Species; Sweden; Time coverage; Treatment; Vassijaure; Vegetation biomass, rate of change; Vegetation biomass, standard deviation
    Type: Dataset
    Format: text/tab-separated-values, 810 data points
    Location Call Number Limitation Availability
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  • 2
    Publication Date: 2023-07-10
    Keywords: Abisko_ANS; Abisko, Lappland, northern Sweden; Abisko Scientific Research Station; Betula nana, biomass; Betula nana, height; Betula nana, standard deviation; Biological sample; BIOS; Bryophyta; Bryophyta, standard deviation; DATE/TIME; Deschampsia flexuosa, biomass; Deschampsia flexuosa, standard deviation; Empetrum nigrum, biomass; Empetrum nigrum, standard deviation; Environment; Event label; Joatka_Fjellstue; Latitude of event; Lichen; Lichen, standard deviation; Longitude of event; Marchantiophyta; Marchantiophyta, standard deviation; Norway; Seiland; Sweden; Vaccinium myrtillus, biomass; Vaccinium myrtillus, standard deviation; Vaccinium uliginosum, biomass; Vaccinium uliginosum, standard deviation; Vaccinium vitis-idaea, biomass; Vaccinium vitis-idaea, standard deviation; Vassijaure; Vegetation biomass; Vegetation biomass, standard deviation; Vegetation type
    Type: Dataset
    Format: text/tab-separated-values, 168 data points
    Location Call Number Limitation Availability
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  • 3
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    In:  Supplement to: Olofsson, Johan; Oksanen, Lauri; Callaghan, Terry V; Hulme, Philip E; Oksanen, Tarja; Suominen, Otso (2009): Herbivores inhibit climate-driven shrub expansion on the tundra. Global Change Biology, 15(11), 2681-2693, https://doi.org/10.1111/j.1365-2486.2009.01935.x
    Publication Date: 2023-12-13
    Description: Recent Pan-Arctic shrub expansion has been interpreted as a response to a warmer climate. However, herbivores can also influence the abundance of shrubs in arctic ecosystems. We addressed these alternative explanations by following the changes in plant community composition during the last 10 years in permanent plots inside and outside exclosures with different mesh sizes that exclude either only reindeer or all mammalian herbivores including voles and lemmings. The exclosures were replicated at three forest and tundra sites at four different locations along a climatic gradient (oceanic to continental) in northern Fennoscandia. Since the last 10 years have been exceptionally warm, we could study how warming has influenced the vegetation in different grazing treatments. Our results show that the abundance of the dominant shrub, Betula nana, has increased during the last decade, but that the increase was more pronounced when herbivores were excluded. Reindeer have the largest effect on shrubs in tundra, while voles and lemmings have a larger effect in the forest. The positive relationship between annual mean temperature and shrub growth in the absence of herbivores and the lack of relationships in grazed controls is another indication that shrub abundance is controlled by an interaction between herbivores and climate. In addition to their effects on taller shrubs (〉 0.3 m), reindeer reduced the abundance of lichens, whereas microtine rodents reduced the abundance of dwarf shrubs (〈 0.3 m) and mosses. In contrast to short-term responses, competitive interactions between dwarf shrubs and lichens were evident in the long term. These results show that herbivores have to be considered in order to understand how a changing climate will influence tundra ecosystems.
    Keywords: International Polar Year (2007-2008); IPY
    Type: Dataset
    Format: application/zip, 2 datasets
    Location Call Number Limitation Availability
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  • 4
    Publication Date: 2023-11-06
    Description: These five cores were obtained from a terrestrial permafrost area in northeastern Siberia (U1: March 2019; B3, B2, B1, U3: July 2019) during the Chersky 2019 field campaign. This campaign was part of both the CACOON and the PeCHEc project and was based at the Northeast Science Station in Chersky, Sakha, Russia (RU-LAND-2019/CHERSKIY; 02.07.2019 - 19.07.2019). They were taken from the area of the Pleistocene Park experiment (Zimov, 2005; doi:10.1126/science.1113442) and cover areas of a drained thermokarst lake basin (B) as well as the adjacent Yedoma uplands (U). The cores were drilled in areas of different large herbivore impact intensities (3= intensive; 2= extensive; 1= no animal presence). The data are used in a study exermining the impact of large herbivore presence on permafrost stability, vegetation composition and ground carbon storage. The active layer was sampled excavating profiles with a spade using fixed volume cylinders on the profile wall (250 ccm). The frozen ground was sampled using a SIPRE permafrost auger with a Stihl motor. All samples taken from these cores were analyzed between January 2020 and March 2021 at the facilities of AWI. The samples were analyzed for water/ice content, water isotopes, pH, conductivity, DOC, TC, TN, TOC, δ13C, mass specific magnetic susceptibility, grain size composition and radiocarbon age. Water/ice content was derived from weight differences before and after freeze-drying the samples. Water isotope ratios (δ18O, δ2H, d excess), pH, conductivity and DOC were measured using pore water extracted from the sediment samples using Rhizone samplers. Water isotopes were measured at AWI Potsdam Stable Isotope Laboratory using a Finnigan MAT Delta-S mass spectrometer. DOC was measured at AWI Potsdam Hydrochemistry Laboratory using a Shimadzu TOC-V CPH Total Organic Carbon Analyzer. TC and TN were measured at AWI Potsdam CARLA Laboratory using a vario EL III Element Analyzer. TOC was measured at the same laboratory using a varioMAX C Element Analyzer. δ13C was measured at AWI Potsdam Stable Isotope Laboratory using a Delta V Advantage Isotope Ratio MS supplement equipped with a Flash 2000 Organic Elemental Analyzer. Mass specific magnetic susceptibility was measured using a Bartington MS-2 Magnetic Susceptibility System. Grain size composition was determined using a Malvern Mastersizer 3000 equipped with a Malvern Hydro LV wet-sample dispersion unit. Statistics were calculated for this using Gradistat 8.0. Radiocarbon dating was carried out using the Mini Carbon Dating System (MICADAS) at AWI Bremerhaven.
    Keywords: biogeochemistry; CACOON; Carbon; Changing Arctic Carbon cycle in the cOastal Ocean Near-shore; herbivory; PeCHEc; sediment; Siberian permafrost; terrestrial carbon
    Type: Dataset
    Format: application/zip, 4 datasets
    Location Call Number Limitation Availability
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  • 5
    Publication Date: 2023-11-06
    Description: Radiocarbon dating was carried out using the Mini Carbon Dating System (MICADAS) at AWI Bremerhaven.
    Keywords: Age, 14C AMS, Mini Carbon Dating System (MICADAS); Age, comment; Age, dated; Age, dated standard error; AWI Arctic Land Expedition; B1; B2; B3; biogeochemistry; CACOON; Carbon; CH19-B1; CH19-B2; CH19-B3; CH19-U1; CH19-U3; Changing Arctic Carbon cycle in the cOastal Ocean Near-shore; Cherskiy, Russia; Cherskiy 2019; DEPTH, soil; Event label; Fraction modern carbon; Fraction modern carbon, standard error; herbivory; Laboratory code/label; PeCHEc; PERM; RU-Land_2019_Cherskiy; Sample ID; Sampling permafrost; sediment; Siberian permafrost; terrestrial carbon; U1; U3
    Type: Dataset
    Format: text/tab-separated-values, 106 data points
    Location Call Number Limitation Availability
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  • 6
    Publication Date: 2023-11-06
    Description: Water/ice content was derived from weight differences before and after freeze-drying the samples. Water isotope ratios (δ18O, δ2H, d excess), pH, conductivity and DOC were measured using pore water extracted from the sediment samples using Rhizone samplers. Water isotopes were measured at AWI Potsdam Stable Isotope Laboratory using a Finnigan MAT Delta-S mass spectrometer. DOC was measured at AWI Potsdam Hydrochemistry Laboratory using a Shimadzu TOC-V CPH Total Organic Carbon Analyzer.
    Keywords: AWI Arctic Land Expedition; B1; B2; B3; biogeochemistry; CACOON; Carbon; Carbon, organic, dissolved; CH19-B1; CH19-B2; CH19-B3; CH19-U1; CH19-U3; Changing Arctic Carbon cycle in the cOastal Ocean Near-shore; Cherskiy, Russia; Cherskiy 2019; Conductivity; DEPTH, soil; Deuterium excess; Event label; herbivory; PeCHEc; PERM; pH; Pore water extracted by Rhizone samplers; RU-Land_2019_Cherskiy; Sample, dry mass; Sample ID; Sample mass; Sampling permafrost; sediment; Siberian permafrost; State of permafrost; terrestrial carbon; U1; U3; Water content, wet mass; δ18O, water; δ Deuterium, water
    Type: Dataset
    Format: text/tab-separated-values, 769 data points
    Location Call Number Limitation Availability
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  • 7
    Publication Date: 2023-11-06
    Description: Mass specific magnetic susceptibility was measured using a Bartington MS-2 Magnetic Susceptibility System. Grain size composition was determined using a Malvern Mastersizer 3000 equipped with a Malvern Hydro LV wet-sample dispersion unit. Statistics were calculated for this using Gradistat 8.0.
    Keywords: AWI Arctic Land Expedition; B1; B2; B3; Bartington MS2 magnetic susceptibility meter; biogeochemistry; CACOON; Carbon; CH19-B1; CH19-B2; CH19-B3; CH19-U1; CH19-U3; Changing Arctic Carbon cycle in the cOastal Ocean Near-shore; Cherskiy, Russia; Cherskiy 2019; DEPTH, soil; Event label; Grain size, Mastersizer 3000, Malvern Instrument Inc.; Grain size, mean; herbivory; PeCHEc; PERM; RU-Land_2019_Cherskiy; Sample ID; Sampling permafrost; sediment; Siberian permafrost; Size fraction 〈 0.002 mm, clay; Size fraction 0.063-0.002 mm, silt, mud; Size fraction 2.000-0.063 mm, sand; Susceptibility, specific; terrestrial carbon; U1; U3
    Type: Dataset
    Format: text/tab-separated-values, 538 data points
    Location Call Number Limitation Availability
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  • 8
    Publication Date: 2024-04-12
    Description: Despite the importance of surface energy budgets (SEBs) for land-climate interactions in the Arctic, uncertainties in their prediction persist. In-situ observational data of SEB components - useful for research and model validation - are collected at relatively few sites across the terrestrial Arctic, and not all available datasets are readily interoperable. Furthermore, the terrestrial Arctic consists of a diversity of vegetation types, which are generally not well represented in land surface schemes of current Earth system models. Therefore, we here provide four datasets comprising: 1. Harmonized, standardized and aggregated in situ observations of SEB components at 64 vegetated and glaciated sites north of 60° latitude, in the time period 1994-2021 2. A description of all study sites and associated environmental conditions, including the vegetation types, which correspond to the classification of the Circumpolar Arctic Vegetation Map (CAVM, Raynolds et al. 2019). 3. Data generated in a literature synthesis from 358 study sites on vegetation or glacier (〉=60°N latitude) covered by 148 publications. 4. Metadata, including data contributor information and measurement heights of variables associated with Oehri et al. 2022.
    Keywords: Arctic; ArcticTundraSEB; Arctic Tundra Surface Energy Budget; dry tundra; Eddy covariance; eddy heat flux; glacier; graminoids; ground heat flux and net radiation; harmonized data; high latitude; Land-Atmosphere; Land-cover; latent and sensible heat; latent heat flux; longwave radiation; meteorological data; observatory data; Peat bog; Radiation fluxes; Radiative energy budget; sensible heat flux; shortwave radiation; shrub tundra; surface energy balance; synthetic data; tundra vegetation; wetland
    Type: Dataset
    Format: application/zip, 4 datasets
    Location Call Number Limitation Availability
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  • 9
    Publication Date: 2024-05-05
    Description: Despite the importance of surface energy budgets (SEBs) for land-climate interactions in the Arctic, uncertainties in their prediction persist. In situ observational data of SEB components - useful for research and model validation - are collected at relatively few sites across the terrestrial Arctic, and not all available datasets are readily interoperable. Furthermore, the terrestrial Arctic consists of a diversity of vegetation types, which are generally not well represented in land surface schemes of current Earth system models. This dataset describes the environmental conditions for 64 tundra and glacier sites (〉=60°N latitude) across the Arctic, for which in situ measurements of surface energy budget components were harmonized (see Oehri et al. 2022). These environmental conditions are (proxies of) potential drivers of SEB-components and could therefore be called SEB-drivers. The associated environmental conditions, include the vegetation types graminoid tundra, prostrate dwarf-shrub tundra, erect-shrub tundra, wetland complexes, barren complexes (≤ 40% horizontal plant cover), boreal peat bogs and glacier. These land surface types (apart from boreal peat bogs) correspond to the main classification units of the Circumpolar Arctic Vegetation Map (CAVM, Raynolds et al. 2019). For each site, additional climatic and biophysical variables are available, including cloud cover, snow cover duration, permafrost characteristics, climatic conditions and topographic conditions.
    Keywords: Arctic; Arctic_SEB_CA-SCB; Arctic_SEB_CP1; Arctic_SEB_Dye-2; Arctic_SEB_EGP; Arctic_SEB_FI-Lom; Arctic_SEB_GL-NuF; Arctic_SEB_GL-ZaF; Arctic_SEB_GL-ZaH; Arctic_SEB_KAN_B; Arctic_SEB_KAN_L; Arctic_SEB_KAN_M; Arctic_SEB_KAN_U; Arctic_SEB_KPC_L; Arctic_SEB_KPC_U; Arctic_SEB_MIT; Arctic_SEB_NASA-E; Arctic_SEB_NASA-SE; Arctic_SEB_NASA-U; Arctic_SEB_NUK_K; Arctic_SEB_NUK_L; Arctic_SEB_NUK_N; Arctic_SEB_NUK_U; Arctic_SEB_QAS_A; Arctic_SEB_QAS_L; Arctic_SEB_QAS_M; Arctic_SEB_QAS_U; Arctic_SEB_RU-Che; Arctic_SEB_RU-Cok; Arctic_SEB_RU-Sam; Arctic_SEB_RU-Tks; Arctic_SEB_RU-Vrk; Arctic_SEB_Saddle; Arctic_SEB_SCO_L; Arctic_SEB_SCO_U; Arctic_SEB_SE-St1; Arctic_SEB_SJ-Adv; Arctic_SEB_SJ-Blv; Arctic_SEB_SouthDome; Arctic_SEB_Summit; Arctic_SEB_TAS_A; Arctic_SEB_TAS_L; Arctic_SEB_TAS_U; Arctic_SEB_THU_L; Arctic_SEB_THU_U; Arctic_SEB_Tunu-N; Arctic_SEB_UPE_L; Arctic_SEB_UPE_U; Arctic_SEB_US-A03; Arctic_SEB_US-A10; Arctic_SEB_US-An1; Arctic_SEB_US-An2; Arctic_SEB_US-An3; Arctic_SEB_US-Atq; Arctic_SEB_US-Brw; Arctic_SEB_US-EML; Arctic_SEB_US-HVa; Arctic_SEB_US-ICh; Arctic_SEB_US-ICs; Arctic_SEB_US-ICt; Arctic_SEB_US-Ivo; Arctic_SEB_US-NGB; Arctic_SEB_US-Upa; Arctic_SEB_US-xHE; Arctic_SEB_US-xTL; ArcticTundraSEB; Arctic Tundra Surface Energy Budget; Aspect; Aspect, coefficient of variation; Calculated average/mean values; Cloud cover; Cloud cover, standard deviation; Cloud top pressure; Cloud top pressure, standard deviation; Cloud top temperature; Cloud top temperature, standard deviation; Conrad's continentality index; Daily maximum; Daily mean; Data source; Date/Time of event; dry tundra; Eddy covariance; eddy heat flux; ELEVATION; Elevation, standard deviation; Event label; Field observation; glacier; graminoids; ground heat flux and net radiation; harmonized data; high latitude; Humidity, relative; Land-Atmosphere; Land-cover; Land cover classes; Land cover type; latent and sensible heat; latent heat flux; LATITUDE; Location ID; LONGITUDE; longwave radiation; Mean values; Median values; meteorological data; Number of vegetation types; observatory data; Peat bog; Permafrost, type; Permafrost extent; Permafrost ice content, description; Precipitation; Precipitation, coefficient of variation; Precipitation, daily, maximum; Precipitation, snow; Precipitation, sum; Pressure, atmospheric; p-value; Radiation fluxes; Radiative energy budget; Reference/source; sensible heat flux; Shannon Diversity Index; Shannon Diversity Index, maximum; shortwave radiation; shrub tundra; Site; Slope; Slope, coefficient of variation; Slope, mathematical; Snow, onset, day of the year; Snow cover, number of days; Snowfall, coefficient of variation; Snow-free days; Snow type; Soil water content, volumetric; Species present; Summer warmth index; surface energy balance; synthetic data; Temperature, air, annual mean; Temperature, air, coefficient of variation; Temperature, annual mean range; tundra vegetation; Type of study; Uniform resource locator/link to reference; Vapour pressure deficit; Vegetation type; wetland; Wind speed; Zone
    Type: Dataset
    Format: text/tab-separated-values, 4705 data points
    Location Call Number Limitation Availability
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  • 10
    Publication Date: 2024-05-15
    Keywords: biogeochemistry; Carbon; Carbon, organic, total; Carbon, total; Carbon and nitrogen and sulfur (CNS) isotope element analyzer, Elementar, Elementar Vario MAX Cube; Carbon and nitrogen and sulfur (CNS) isotope element analyzer, Elementar, Vario EL III; Comment of event; Date/Time of event; Depth, bottom/max; DEPTH, soil; Depth, top/min; Event label; Finland; Flash combustion in a Flash 2000 (Thermo) elemental analyser to a Delta V advantage (Thermo) isotope ratio masspectrometer; Kutuharju Field Research Station; Latitude of event; Longitude of event; Nitrogen, total; peat; PEATC; Peat corer; PeCHEc; PeCHEc_202009; PeCHEc_FR; PeCHEc_MR; PeCHEc_PR; PeCHEc_S-1M; PeCHEc_S-2M; PeCHEc_S-3M; PeCHEc_S-3P; PeCHEc_S-4P; PeCHEc_S-5F; PeCHEc_S-5M; PeCHEc_S-5P; Permafrost Carbon Stabilization by Recreating a Herbivore-Driven Ecosystem; Sample ID; sediment; Soil pit; SPIT; δ13C
    Type: Dataset
    Format: text/tab-separated-values, 1046 data points
    Location Call Number Limitation Availability
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