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Vegetation indices calculated for ITEX flux plots in 2004-2009 at Toolik, Alaska; Abisko, Sweden; Svalbard, Norway; Zackenberg, Northeast Greenland; and Barrow, Alaska

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.

Vegetation indices calculated for ITEX harvest plots in 2004-2009 at Toolik, Alaska; Abisko, Sweden; Svalbard, Norway; Zackenberg, Northeast Greenland; and Barrow, Alaska

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).

Plant % cover by functional type for the ITEX CO2 flux survey plots at Toolik, Alaska; Abisko, Sweden; Svalbard, Norway; Zackenberg, Northeast Greenland; Anaktuvuk River Burn, Alaska and Barrow, Alaska 2003-2009.

Estimated aerial plant % cover by functional type in flux plots measured during the ITEX cirumarctic flux survey 2004-2006. Survey plots were located in the Toolik Lake LTER fertilization experiment in Alaska; at Imnavait Creek, Alaska; at Paddus, Latnjajaure and the Stepps site near Abisko in northern Sweden; at various sites in Adventdalen, Svalbard; in the Zackenberg valley, Northeast Greenland; at BEO near Barrow, Alaska and at the Anaktuvuk River Burn in Alaska. Measurements were made during the growing seasons 2003 to 2009.

ITEX circumarctic CO2 flux survey data from Toolik, Alaska; Abisko, Sweden; Svalbard, Norway; Zackenberg, Northeast Greenland; Anaktuvuk River Burn, Alaska and Barrow, Alaska 2003-2009.

Ecosystem CO2 flux light response curves were measured on 1m x 1m plots across the arctic. This file contains the CO2 and H2O flux measurements and NDVI data for each plot. Survey plots were located in the Toolik Lake LTER fertilization experiment in Alaska; at Imnavait Creek, Alaska; at Paddus, Latnjajaure and the Stepps site near Abisko in northern Sweden; at various sites in Adventdalen, Svalbard; in the Zackenberg valley, Northeast Greenland; at BEO near Barrow, Alaska and at the Anaktuvuk River Burn in Alaska. Measurements were made during the growing seasons 2003 to 2009.

Plant % cover by species for the ITEX CO2 flux survey plots at Toolik, Alaska; Abisko, Sweden; Svalbard, Norway; Zackenberg, Northeast Greenland; and Barrow, Alaska 2004-2009

Estimated aerial plant % cover by species in flux plots measured during the ITEX circumarctic flux survey 2004-2006. Flux plots were located in the Toolik Lake LTER fertilization experiment in Alaska; at Imnavait Creek, Alaska; at Paddus, Latnjajaure and the Stepps site near Abisko in northern Sweden; at various sites in Adventdalen, Svalbard; in the Zackenberg valley, Northeast Greenland; at BEO near Barrow, Alaska and at the Anaktuvuk River Burn in Alaska.

opencc-by-4.0Feb 2020View details →

A 4.5 year-long record of Svalbard water vapor isotopic composition documents winter air mass origin

Isotopic data from the article in JGR A: A 4.5 year-long record of Svalbard water vapor isotopic composition documents winter air mass origin CLDS_2020_ground_iso_vapor_1h.dat CLDS_2020_zeppelin_iso_vapor_1h.dat first column: date in matlab format second column: humidity in ppmv thrid column: d18O in per mil forth column: dD in per mil fifth column: not to take into account CLDS_2020_iso_precip.dat first column: date in matlab format second column: temperature at noon in degre C thrid column: d18O in per mil forth column: dD in per mil fifth column:type of precip 1: water & 2 : snow & 3 : other (melt, etc.)

dryad36/100

State-space model for Svalbard ptarmigan

To improve understanding and management of the consequences of current rapid environmental change, ecologists advocate using long-term monitoring data series to generate iterative near-term predictions of ecosystem responses. This approach allows scientific evidence to increase rapidly and management strategies to be tailored simultaneously. Iterative near-term forecasting may therefore be particularly useful for adaptive monitoring of ecosystems subjected to rapid climate change. Here, we show how to implement near-term forecasting in the case of a harvested population of rock ptarmigan in high-arctic Svalbard, a region subjected to the largest and most rapid climate change on Earth. We fitted state-space models to ptarmigan counts from point-transect distance-sampling during 2005-2019 and developed two types of predictions: 1) explanatory predictions to quantify the effect of potential drivers of ptarmigan population dynamics, and 2) anticipatory predictions to assess the ability of candidate models of increasing complexity to forecast next-year population density. Based on the explanatory predictions, we found that a recent increasing trend in the Svalbard rock ptarmigan population can be attributed to major changes in winter climate. Currently, a strong positive effect of increasing average winter temperature on ptarmigan population growth outweighs the negative impacts of other manifestations of climate change such as rain-on-snow events. Moreover, the ptarmigan population may compensate for current harvest levels. Based on the anticipatory predictions, the near-term forecasting ability of the models improved non-linearly with the length of the time series, but yielded good forecasts even based on a short time series. The inclusion of ecological predictors improved forecasts of sharp changes in next-year population density, demonstrating the value of ecosystem-based monitoring. Overall, our study illustrates the power of integrating near-term forecasting in monitoring systems to aid understanding and management of wildlife populations exposed to rapid climate change. We provide recommendations for how to improve this approach.

opencc-zeroJan 2021View details →

dryad36/100

Data from: Spatiotemporal dynamics of Nektonic biodiversity and vegetation shifts during the Smithian–Spathian Transition: Conodont and Palynomorph insights from Svalbard

The dataset includes an Excel file with sporomorph counting of samples from the Stensiöfjellet section, Svalbard. Furthermore, it includes additional taxonomic notes on conodonts from the Stensiöfjellet section, Svalbard.

opencc-zeroMar 2024View details →

opencc-by-4.0Nov 2024View details →

All-sky camera images from Kjell Henriksen Observatory (Svalbard) on January 7th, 2016 05:45-07:30 UT

This dataset contains the images from the Sony A7S All-Sky camera located at the Kjell Henriksen Observatory operated by the University Centre in Svalbard (UNIS) on 2016-01-07 05:45-07:30 UT. The camera provides all-sky color images. The images files are in the jpg format.

opencc-by-4.0Nov 2024View details →

Digital appendix: Microbial communities as sentinels of environmental changes in Svalbard (MicroSIOS)

This is supplementary material for chapter 6 (MicroSIOS) in the State of Environmental Science in Svalbard (SESS) report 2024 (<a href="https://sios-svalbard.org/SESS_Issue7)%E2%80%9D" target="_blank" rel="noopener">https://sios-svalbard.org/SESS_Issue7)”</a>

FIGURE 7 in Two Interesting Damaeid Mites (Acari, Oribatida, Damaeidae Berlese, 1896) From The British Isles And Svalbard (Spitsbergen, Norway), With A Description Of Kunstidamaeus Arcticus N.Sp.

FIGURE 7: Epidamaeus sp. (aff. floccosus Behan-Pelletier and Norton, 1985): A – femur and genu I; B – genu, tibia and tarsus I; C – femur, genu and tibia II; D – trochanter, femur and genu III; E – trochanter, femur and genu IV; F – genu, tibia and tarsus IV (scale bar = 50 µm).

FIGURE 5 in Two Interesting Damaeid Mites (Acari, Oribatida, Damaeidae Berlese, 1896) From The British Isles And Svalbard (Spitsbergen, Norway), With A Description Of Kunstidamaeus Arcticus N.Sp.

FIGURE 5: Epidamaeus sp.(aff. floccosus Behan-Pelletier and Norton, 1985): A – lateral view of rostrum, B – lateral view on bothridial area and anterior part of notogaster, C – genital setae g1-g5, aggenital seta and adanal seta ad3; D – lateral part of prodorsum; E – parabothridial apophyses Sa and Sp; F – discidium; G – spinae adnatae (scale bars = 25 µm).

FIGURE 3 in Two Interesting Damaeid Mites (Acari, Oribatida, Damaeidae Berlese, 1896) From The British Isles And Svalbard (Spitsbergen, Norway), With A Description Of Kunstidamaeus Arcticus N.Sp.

FIGURE 3: Kunstidamaeus arcticus n.sp.: A – leg I; B – trochanter, femur and genu IV; C – tibia and tarsus IV; D – femur and genu IV, axial view; E – tibia IV, axial view; F – trochanter III; G – genu and tibia III (scale bar = 50 µm).

FIGURE 4 in Two Interesting Damaeid Mites (Acari, Oribatida, Damaeidae Berlese, 1896) From The British Isles And Svalbard (Spitsbergen, Norway), With A Description Of Kunstidamaeus Arcticus N.Sp.

FIGURE 4: Epidamaeus sp. (aff. floccosus Behan-Pelletier and Norton, 1985): A – dorsal view, legs only partly depicted; B – ventral view, legs and gnathosoma only partly depicted (scale bar = 200 µm).

opencc-by-4.0Jan 2022View details →

Conjugate observation data between DMSP satellites and all-sky imager of Chinese Yellow River station at Ny-Ålesund, Svalbard from January 2005 to December 2009

Chinese Arctic Yellow River Station (YRS) locates at Ny-Ålesund, Svalbard with the geographic coordinates (78.92°N, 11.93°E) and the corrected geomagnetic latitude 76.24°. The relation between local time and universal time is MLT≈UT+3hr. In November 2003, a set of monochromatic auroral observation system was installed at YRS, which is consisted of three identical all-sky imageries (ASIs) with the filters at 427.8nm, 557.7nm and 630.0nm, respectively. DMSP (Defense Meteorological Satellite Program) satellites are a collection of polar-orbit weather satellites launched by the U.S. department of defense. This series of satellites is sun synchronous satellite, which takes about 101 minutes to orbit the earth, has an altitude of about 835-850km, an inclination of about 96°, and crosses the equatorial plane daily from south to north (ascending segment) and from north to south (descending segment) at a fixed time (DMSP F13 is at 05:45LT and 17:45LT, and F15 is at 09:30LT and 21:30LT). DMSP satellite is equipped with Special Sensor for Particle Flux (SSJ/4), which can measure the fluxes of downgoing electrons and ions with energies between from 30eV to 30keV in 19 energy steps (34, 49, 71, 101, 150, 218, 320, 460, 670, 960 eV, and 1.4, 2.1, 3.0, 4.4, 6.5, 9.5, 14.0, 20.5, 29.5 keV), with a time resolution of 1 second. According to the orbit of the DMSP satellites and the observation of the ASIs of YRS, we obtained the conjugate observation periods of the satellite flying over the ASI. During the period from January 2005 to December 2009, a total of 136 conjugate observation events were obtained. Moreover, according to the morphological characteristics of discrete aurora in the all-sky image, 136 events are classified according to four typical forms of dayside discrete auroras, namely 27 events of drapery dayside corona (DDC), 24 events of radial dayside corona (RDC), 37 events of hot-spot aurora (HSA), and 48 events of arc aurora (ARC). The event list of 136 events is recorded in the “asi&dmsp@YRS03-09-v2.xlsx” file. The EPS file gives the trajectory of the DMSP satellite crossing the ASI in each conjugate observation event, while the JPG files are the corresponding all-sky images.

opencc-by-4.0Mar 2022View details →

Data supporting the manuscript: "Influence of modern environmental gradients on foraminiferal faunas in the inner Kongsfjorden (Svalbard)" published in Marine Micropaleontology

Here we provide data about living benthic foraminifera related to the manuscript "Influence of modern environmental gradients on foraminiferal faunas in the inner Kongsfjorden (Svalbard)" published in Marine Micropaleontology. This excel file contains four sheets: <ol> <li>readme</li> <li>KING18_station_infos: includes sampling coordinates and related information.</li> <li>KING18_abundances10cm3_0-1cm: includes living benthic foraminiferal absolute abundances (individuals 10cm-3) in the 0-0.5 and 0.5-1 cm sediment layers and four different size fractions (i.e., 63-100, 100-125, 125-150 and >150 µm).</li> <li>KING18_abundances10cm3_0-5cm: includes living benthic foraminiferal absolute abundances (individuals 10cm-3) in seven sediment layers (i.e., 0-0.5, 0.5-1, 1-1.5, 1.5-2, 2-3, 3-4 and 4-5 cm) and the >150 µm size fraction.</li> </ol>

opencc-by-4.0Mar 2018View details →

Processed data from Svalbard shelf moorings 2010-2014

Data from five moorings deployed in 2010-2014 on the south-western Svalbard shelf in Matlab-format. Data subset (from DJFM winter periods) was used and described in Goszczko et al. 2018 (published in JGR Oceans, see table S2 in Supporting Information). Some processing was modified compared to the original analysis (see read-me for details). Raw data are available from the Institute of Oceanology, Polish Academy of Sciences (IOPAN), Sopot, Poland. These deployments took place during IO PAN Arctic Experiments AREX carried out since 1987 and were supported by the Norway Grants from the Polish-Norwegian Research Fund project AWAKE (PNRF-22-A I-1/07), from the Polish-Norwegian Research Programme: AWAKE-2 (POL-NOR/198675/17/2013) and from Narodowe Centrum Nauki, Preludium MIXAR grant (2012/05/N/ST10/03643).

opencc-by-4.0May 2024View details →

AGF212 2024: GPR ice thickness measurements of the glaciers Tellbreen and Blekumbreen (Svalbard)

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