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11 results for “Northern Antarctic Peninsula”
NAPv1.0: A seasonal hydrographic gridded data set for the Northern Antarctic Peninsula, Southern Ocean
<p>The Northern Antarctic Peninsula (NAP) climatology version 1 (NAPv1.0) was built by optimally interpolate hydrographic data sets from the CTD, MEOP and Argo floats profiles sampled in the NAP and adjacent regions during the period of 1990-2019. The database consists of data from the World Ocean Database, Pangaea, Hutchinson et al. (2020), Brazilian High Latitude Oceanography Group (GOAL; http://goal.furg.br/), Marine Mammals Exploring the Oceans Pole to Pole consortium (MEOP), and Argo floats. The climatology has outputs for summer (Jan-Mar), autumn (Apr-Jun), winter (Jul-Sep) and spring (Oct-Dec). The profiles were first linearly interpolated onto 90 depth levels, and then optimally interpolated in space using a grid of ~10 km resolution. The grid spacing is 0.09˚ along latitudes and 0.2˚ along longitudes (i.e., 0.09˚ latitude x 0.09˚/cos(63˚S) longitude, where 63˚S is the mean latitude of our domain). A series of tests were made to find the appropriate smoothing lengthscale and the a priori relative error in order to find a balance between smoothness and feature representativeness. The final smoothing lengthscale (i.e. the radius of influence of the interpolation) chosen was 1˚ in latitude and longitude, and the a priori relative error allowed was set to 0.2 for the objective interpolation algorithm. The same constants were set for all depth levels and all variables. The regions where the mapping relative error was higher than 0.5 were excluded. The NAPv1.0 climatology can be used for several applications, including input data for ocean and climate models initialization/assessment and ocean reanalysis evaluation, as well as to produce and reconstruct biogeochemical properties. The NAPv1.0 climatology represents the ocean mean-state for the NAP for the end of the 20th and early 21st-century.</p> <p> </p> <p><strong>Reference: </strong><br> Dotto, T. S., Mata, M. M., Kerr, R., and Garcia, C. A. E.: A novel hydrographic gridded data set for the northern Antarctic Peninsula, Earth Syst. Sci. Data, 13, 671–696, https://doi.org/10.5194/essd-13-671-2021, 2021.</p>
BGQNAPv1.0: A summer macronutrients binned data set for the Northern Antarctic Peninsula, Southern Ocean
<p>We compiled a time series spanning the period from 1996 to 2019 of the seawater hydrographic variables conservative temperature (<sup>o</sup>C), absolute salinity (g kg<sup>­–1</sup>) and dissolved oxygen (μmol kg<sup>­–1</sup>), and the macronutrients DIN (nitrate + nitrite + ammonium), phosphate, and silicic acid (μmol kg<sup>­–1</sup>). The study area covered the northern Antarctic Peninsula regions including the Gerlache Strait and the western, central, and eastern basins of Bransfield Strait. Most data (~90%) were obtained from the Brazilian High Latitude Oceanography Group (GOAL; http://goal.furg.br/) from austral summer field campaigns (January-March). In some years (1996, 2005, 2006, 2010, 2011) we used hydrographic and macronutrient data from GLODAP 2020 (Olsen et al., 2020) along the NAP and exceptionally for 1996 we used data available from December 1995 to February 1996 (the FRUELA cruises, García et al., 2022; Álvarez et al., 2002). Details on the sampling and analysis of macronutrient data obtained from GLODAP dataset can be accessed on the OCADS platform (<a href="https://www.ncei.noaa.gov/access/ocean-carbon-acidification-data-system-portal/">https://www.ncei.noaa.gov/access/ocean-carbon-acidification-data-system-portal/</a>).</p> <p>About 97% of the DIN data were composed of nitrate, followed by ammonium (2%) and nitrite (1%). Therefore, in some cases (11% of all data), we considered DIN as the nitrate concentration, when no nitrite and/or ammonium data were available. Discrete seawater samples were collected at irregular depth intervals from surface (5 m) to deep waters (at approximately 15 m from the bottom). We averaged the parameters for each region at regular depth intervals from the surface to the bottom (i.e., 0, 25, 50, 75, 100, 250, 500, 750, 1000, 1250, 1500, 1750, 2000, 2500 m) to obtain an averaged summer profile for each year.</p> <p>All sampling and analyses information of the hydrographic and macronutrients are detailed in Kerr et al. (2018), Mata et al. (2018), Dotto et al. (2021) and Costa et al. (2020), and references therein.</p>
Nonbreeding adult Adélie penguin data northern Antarctic Peninsula
<p>Raw, unprocessed satellite derived location data (Kiwisat PTT, Sirtrack New Zealand) Adélie penguins (adult, nonbreeding, N=30) tracked from two colonies at research stations in the South Shetland Islands, western Antarctic Peninsula. Fifteen individuals were tracked each at Carlini Station (ARG) and Henryk Arktowski Station (POL) during the austral summer of 2016-2017 (Nov to Feb). </p> <p>Data are provided in raw, csv format with lon, lat, individual ID, date/time, Argos-CLS location quality, and uw.prop (proportion of time spend underwater). Time is in UTC. </p>
Large scale seabird community stucture along oceanographic gradients in the Scotia Sea and northern Antarctic Peninsula
<p>Dataset and associated code for publication submitted to Frontiers in Marine Science. The data represent strip transect data collection efforts of seabirds aboard 2 tourist ships during the 2019-2020 Antarctic summer season throughout the Scotia Sea and Antarctic Peninsula. Data were analysed using R.</p>
Soil texture dataset from the publication: "Machine learning applied for Antarctic soil mapping: Spatial prediction of soil texture for Maritime Antarctica and Northern Antarctic Peninsula'
<p>Clay, silt and sand distribution in Antarctic soils modeled and predicted through Machine Learning approaches, legacy soil data and environmental covariates. The coefficient of variation and quantile data represent the spatial uncertainty of the predictions. For more information about the methodology used, users are referred to the article: </p> <p>Siqueira, R.G., Moquedace, C.M., Francelino, M.R., Schaefer, C.E.G.R., Fernandes-Filho, E.I., 2023. Machine learning applied for Antarctic soil mapping: Spatial prediction of soil texture for Maritime Antarctica and Northern Antarctic Peninsula. Geoderma 432, 116405. https://doi.org/10.1016/j.geoderma.2023.116405</p> <p>The .zip file has the following folders:</p> <p>1) soil_texture_antarctica: soil texture information containing clay, silt and sand contents</p> <p>2) soil_texture_coefficient_variation: uncertainty from the coefficient of variation of the soil texture prediction</p> <p>3) soil_texture_prediction_interval: uncertainty from the prediction interval 90% (Q95% - Q5%) of the soil texture prediction</p> <p>4) soil_texture_quantile05: quantile 5% of the soil texture prediction</p> <p>5) soil_texture_quantile95: quantile 95% of the soil texture prediction</p>
Baseline concentrations, spatial distribution and origin of trace elements in marine surface sediments of the northern Antarctic Peninsula
<p>Supplementary data to article published in Marine Pollution Bulletin 187 (2023) 114501: https://doi.<br> org/10.1016/j.marpolbul.2022.114501</p>
Datasets supporting: Coastal regions of the northern Antarctic Peninsula are key for gentoo populations
<p>Southern Ocean ecosystems are rapidly changing due to climate variability. An apparent beneficiary of such change in the western Antarctic Peninsula (WAP) is the gentoo penguin <em>Pygoscelis papua</em>, which has increased its population size and expanded its range southward in the last 20 years. To better understand how this species has responded to large-scale changes, we tracked individuals during the non-breeding winter period from five colonies across the latitudinal range of breeding sites in the WAP, including from a recently-established colony. Results highlight latitudinal gradients in movement; strong associations with shallow, coastal habitats along the entire Antarctic Peninsula; and movements that are independent of, yet constrained by, sea ice. It is clear that coastal habitats essential to gentoo penguins during the breeding season are similarly critical during winter. Larger movements of birds from northern colonies in the WAP further suggest that leap-frog migration may influence colonization events by facilitating nest-area prospecting and use of new haul-out sites. Our results support efforts to develop a marine protected area around the WAP. Winter habitats used by gentoo penguins outline high priority areas for improving management of the spatiotemporally concentrated krill (<em>Euphausia superba</em>) fishery that operates in this region during winter.</p>
Datasets supporting: Coastal regions of the northern Antarctic Peninsula are key for gentoo populations
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Lipid content and stable isotopes of zooplankton during five winters around the northern Antarctic Peninsula
<p>The Southern Ocean zooplankton community is diverse, yet most species are understudied, especially with respect to their overwinter feeding ecologies. This dataset describes body condition and trophic biomarker data (lipid content and stable isotopes of carbon and nitrogen) from 19 zooplankton species collected over five consecutive winters (August and September 2012 – 2016) around the northern Antarctic Peninsula. To complement these data and provide context for interpretation, we report environmental data (percent sea-ice cover, sea-ice type, water temperature, salinity, and integrated chlorophyll-a (to 100 m)) as well as species abundance data at each sampling location. For most species, these are the first winter measurements or time series of body condition, trophic position, and abundance in relation to environmental variables around the northern Antarctic Peninsula. </p>
Lipid content and stable isotopes of zooplankton during five winters around the northern Antarctic Peninsula
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Diatom responses to the extreme 2015/2016 El Niño in a changing Northern Antarctic Peninsula: phytoplankton chemotaxonomic dataset
<p>This dataset contains the results of phytoplankton chemotaxonomic groups derived from the HPLC/CHEMTAX analysis. The data were collected during the late spring and mid-late summer (November, January and February, respectively) of 2015/2016 along the Northern Antarctic Peninsula. This dataset includes an additional content in respect to diatom biomass, collected between 2008-2017 during the late summer (February) along the Northern Antarctic Peninsula. </p>
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