Automated Author ProfilePollard, Wayne H
Pollard, Wayne H
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 47.1 (sum of 23 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
An important outcome of Arctic Coastal Dynamics I was the segmentation and characterization of the entire circum-Arctic coastline by regional experts which is presented in this dataset. This dataset contains data on coastal morphology, composition, dominant processes, ground ice, and environmental forcing parameters such as wind speed, storm counts, melt season, and wave energy. A listing of the variables included in the coastal classification can be found in Appendix A of the ACD II Science and Implementation Plan (2006). This information is available for over 800 segments, covering the coastline of all eight regional seas of the Arctic Ocean. The length of individual segments is variable (median length is 38 km), and depends on classification parameters and data availability. The segmentation format is scalable, allowing the adoption of future digital coastlines and the integration of additional data at higher spatial resolution. An assessment of the data quality for the more important quantitative variables has just been completed and the data will be publicly released on an internet map server (IMS). The goal of the IMS will be to allow individual users to prepare their own maps displaying the region and variables of interest.The ACD Classification was conceived as a broad enough framework to encompass existing classification schemes while capturing fundamental information for the assessment of climate change impacts and coastal processes. The implementation of the classification was done by so-called "regional experts", who, based on digital and paper products and personal knowledge provided information which was subsequently gathered into a circum-Arctic coastal database. The classification was primarily geomorphological in nature and considered: (1) the shape or form of the subaerial part of the coastal tract, (2) the marine processes acting upon the coast, (3) the shape or the form of the subaqueous part of the coastal tract and (4) the lithofacies of the materials constituting the coastal zoneThe beta version of the classification is made of 1331 segments each characterized by a series of geomorphological quantitative and qualitative variables. The classification is stored as an ISO 19115-compliant personal geodatabase and is therefore mappable in off-the-shelf Geographical Information Systems (GIS)
Authors
- Lantuit, Hugues ;
- Overduin, Pier Paul ;
- Couture, Nicole ;
- Wetterich, Sebastian ;
- Are, Felix ;
- Atkinson, David ;
- Brown, Jerry ;
- Cherkashov, Georgy A ;
- Drozdov, Dimitry S ;
- Forbes, Donald Lawrence ;
- Graves-Gaylord, Allison ;
- Grigoriev, Mikhail N ;
- Hubberten, Hans-Wolfgang ;
- Jordan, James ;
- Jorgenson, M Torre ;
- Ødegård, Rune Strand ;
- Ogorodov, Stanislav ;
- Pollard, Wayne H ;
- Rachold, Volker ;
- Sedenko, Sergey ;
- Solomon, Steve ;
- Steenhuisen, Frits ;
- Streletskaya, Irina ;
- Vasiliev, Alexander
Narrowing uncertainties about carbon cycling is important in the Arctic where rapid environmental changes contribute to enhanced mobilization of carbon. Here we quantify soil organic carbon (SOC) contents of permafrost soils along the Yukon Coastal Plain and determine the annual fluxes from erosion. Different terrain units are assessed based on surficial geology, morphology, and ground ice conditions. To account for the volume of wedge ice and massive ice in a unit, sample SOC contents are reduced by 19% and sediment contents by 16%. The SOC content in a 1 m2 column of soil varies according to the height of the bluff, ranging from 30 to 662 kg, with a mean value of 183 kg. Forty-four per cent of the SOC is within the top 1 m of soil and values vary based on surficial materials, ranging from 30 to 53 kg C/m3, with a mean of 41 kg. Eighty per cent of the shoreline is erosive with a mean annual rate of change is 0.7 m/a. This results in a SOC flux per meter of shoreline of 131 kg C/m/a, and a total flux for the entire Yukon coast of 35.5 106 kg C/a (0.036 Tg C/a). The mean flux of sediment per meter of shoreline is 5.3 103 kg/m/a, with a total flux of 1,832.0 10**6 kg/a (1.832 Tg/a). Sedimentation rates indicate that approximately 13% of the eroded carbon is sequestered in nearshore sediments, where the overwhelming majority of organic carbon is of terrestrial origin.
Authors
- Couture, Nicole ;
- Irrgang, Anna Maria ;
- Pollard, Wayne H ;
- Lantuit, Hugues ;
- Fritz, Michael
Narrowing uncertainties about carbon cycling is important in the Arctic where rapid environmental changes contribute to enhanced mobilization of carbon. Here we quantify soil organic carbon (SOC) contents of permafrost soils along the Yukon Coastal Plain and determine the annual fluxes from erosion. Different terrain units are assessed based on surficial geology, morphology, and ground ice conditions. To account for the volume of wedge ice and massive ice in a unit, sample SOC contents are reduced by 19% and sediment contents by 16%. The SOC content in a 1 m2 column of soil varies according to the height of the bluff, ranging from 30 to 662 kg, with a mean value of 183 kg. Forty-four per cent of the SOC is within the top 1 m of soil and values vary based on surficial materials, ranging from 30 to 53 kg C/m3, with a mean of 41 kg. Eighty per cent of the shoreline is erosive with a mean annual rate of change is 0.7 m/a. This results in a SOC flux per meter of shoreline of 131 kg C/m/a, and a total flux for the entire Yukon coast of 35.5 106 kg C/a (0.036 Tg C/a). The mean flux of sediment per meter of shoreline is 5.3 103 kg/m/a, with a total flux of 1,832.0 10**6 kg/a (1.832 Tg/a). Sedimentation rates indicate that approximately 13% of the eroded carbon is sequestered in nearshore sediments, where the overwhelming majority of organic carbon is of terrestrial origin.
Authors
- Couture, Nicole ;
- Irrgang, Anna Maria ;
- Pollard, Wayne H ;
- Lantuit, Hugues ;
- Fritz, Michael
No description available
Authors
- Fritz, Michael ;
- Herzschuh, Ulrike ;
- Wetterich, Sebastian ;
- Lantuit, Hugues ;
- De Pascale, Gregory P ;
- Pollard, Wayne H ;
- Schirrmeister, Lutz
No description available
Authors
- Fritz, Michael ;
- Herzschuh, Ulrike ;
- Wetterich, Sebastian ;
- Lantuit, Hugues ;
- De Pascale, Gregory P ;
- Pollard, Wayne H ;
- Schirrmeister, Lutz
No description available
Authors
- Fritz, Michael ;
- Herzschuh, Ulrike ;
- Wetterich, Sebastian ;
- Lantuit, Hugues ;
- De Pascale, Gregory P ;
- Pollard, Wayne H ;
- Schirrmeister, Lutz
No description available
Authors
- Lenz, Josefine ;
- Fritz, Michael ;
- Schirrmeister, Lutz ;
- Lantuit, Hugues ;
- Wooller, Matthew J ;
- Pollard, Wayne H ;
- Wetterich, Sebastian
No description available
Authors
- Lenz, Josefine ;
- Fritz, Michael ;
- Schirrmeister, Lutz ;
- Lantuit, Hugues ;
- Wooller, Matthew J ;
- Pollard, Wayne H ;
- Wetterich, Sebastian
No description available
Authors
- Lenz, Josefine ;
- Fritz, Michael ;
- Schirrmeister, Lutz ;
- Lantuit, Hugues ;
- Wooller, Matthew J ;
- Pollard, Wayne H ;
- Wetterich, Sebastian