Polaris Project 2017: Permafrost carbon and nitrogen, Yukon-Kuskokwim Delta, Alaska Sarah Ludwig Woods Hole Research Center Lab Manager/Research Assistant
735 State St. Suite 300 Santa Barbara CA 93101 USA
805-893-2500 sludwig@whrc.org https://orcid.org/0000-0002-2873-479X
Robert Holmes Woods Hole Research Center rmholmes@whrc.org https://orcid.org/0000-0000-0000-0000 Susan Natali Woods Hole Research Center snatali@whrc.org https://orcid.org/0000-0000-0000-0000 Paul Mann paul.mann@northumbria.ac.uk https://orcid.org/0000-0000-0000-0000 John Schade Woods Hole Research Center jschade@whrc.org https://orcid.org/0000-0000-0000-0000 Laura Jardine lejardine@my.okcu.edu https://orcid.org/0000-0000-0000-0000 Sarah Ludwig Woods Hole Research Center Lab Manager/Research Assistant sludwig@whrc.org https://orcid.org/0000-0002-2873-479X Robert Holmes Woods Hole Research Center rmholmes@whrc.org https://orcid.org/0000-0000-0000-0000 principalInvestigator Susan Natali Woods Hole Research Center snatali@whrc.org https://orcid.org/0000-0000-0000-0000 coPrincipalInvestigator Paul Mann paul.mann@northumbria.ac.uk https://orcid.org/0000-0000-0000-0000 coPrincipalInvestigator 2018 This project is integrating scientific research in the Arctic with education and outreach, with a strong central focus on engaging undergraduate students and visiting faculty from groups that have had little involvement in Arctic science to date. The central element of the project is a month-long research expedition to the Yukon River Delta in Alaska. The expedition provides a deep intellectual and cultural immersion in the context of an authentic research experience that is paramount for "hooking" students and keeping them moving along the pipeline to careers as Arctic scientists. The overarching scientific issue that drives the research is the vulnerability and fate of ancient carbon stored in Arctic permafrost (permanently frozen ground). Widespread permafrost thaw is expected to occur this century, but large uncertainties remain in estimating the timing, magnitude, and form of carbon that will be released when thawed. Project participants are working in collaborative research groups to make fundamental scientific discoveries related to the vulnerability of permafrost carbon in the Yukon River Delta and the potential implications of permafrost thaw in this region for the global climate system. This data set includes permafrost cores, with ammonium, nitrate, volumetric ice content, N mineralization rates, %C, and %N results from the 2017 expedition. arctic sediment carbon nitrogen fire alaska None Creative Commons Attribution 4.0 International https://spdx.org/licenses/CC-BY-4.0.html CC-BY-4.0 These data are from the Yukon-Kuskokwim River Delta, Alaska, approximately halfway between Bethel and St. Mary's. The region recently burned in 2015 and has older burns from 1972. The area is flat with numerous lakes and wetlands. Terrestrial landscapes are peat plateaus roughly 1-3 meters above wetlands, stream, and lakes. All of these samples are from lake sediment cores. -163.3736 -162.3953 61.3053 61.1861 2017-06-25 2017-08-06 http://purl.org/dc/elements/1.1/subject http://purl.obolibrary.org/obo/ENVO_01000177 A synopsis of the dataset describes its purpose and contents, including one or more paragraphs as well as table(s) and figure(s) that summarize the data included in the data paper, including a summary of key findings if appropriate. An introduction goes here. It can include multiple paragraphs. And these paragraphs should have enough text to wrap in a wide browser. So, repeat that last thought. And these paragraphs should have enough text to wrap in a wide browser. So, repeat that last thought. Text can also cite other works, such as [@jones_2001], in which case the associated key must be present as either the citation identifier in a `bibtex` element in the EML document, or as the `id` attribute on one of the `citation` elements in the EML document. These identifiers must be unique across the document. Tools such as Pandoc will readily convert these citations and citation entries into various formats, including HTML, PDF, and others. And bulleted lists are also supported: - Science - Engineering - Math It can also include equations: $$\left( x + a \right)^{n} = \sum_{k = 0}^{n}{\left( \frac{n}{k} \right)x^{k}a^{n - k}}$$ Plus, it can include all of the other features of [Github Flavored Markdown (GFM)](https://github.github.com/gfm/). Some intro text in the getting started, then break into subsections. Note that the first line of markdown text defines the starting column for all subsequent indenting. ## Level 2 heading We use a level 2 heading because Level 1 would be at the same level as the main sections of the paper. ## Another level 2 heading With some information. Many thanks to the field staff and volunteers involved in collecting and compiling data on swallow breeding phenology and performance (in alphabetical order): E. Beaton, T. Bryant, L. Burke, M, Courtenay, B. Crosby, D. Farrar, S. Lau, A. MacDonald, H. Mann, A. McKeen, D. Nickerson, N. Sobhani, and staff from Environment and Climate Change Canada. In addition, we would like to thank all the volunteers who contributed to the Maritime Nest Records Scheme. We also thank all the private landowners, Acadia University, Ducks Unlimited Canada, Environment and Climate Change Canada, and Parks Canada for permitting access to their properties for field research. Special thanks to P. Thomas and B. Whittam at Environment and Climate Change Canada for supporting this work, A. Smith at Environment and Climate Change Canada for helpful discussions on BBS trends, and to A. Horn, A. Smith, J. Sauer, and two anonymous reviewers for providing helpful comments on earlier drafts. Funding was provided by (in alphabetical order) the Canadian Wildlife Federation, Environment and Climate Change Canada, the Natural Science and Engineering Research Council of Canada, New Brunswick Wildlife Trust Fund, Nova Scotia Habitat Conservation Fund, and Wildlife Preservation Canada. This represents Bowdoin Scientific Station contribution no. 2589. Sarah Ludwig Woods Hole Research Center Lab Manager/Research Assistant sludwig@whrc.org https://orcid.org/0000-0002-2873-479X
Permafrost Cores Thawed horizon was excavated, and frozen cores were drilled using a SIPRE drill. Samples were cleaned, wrapped, and kept frozen until analysis in the lab. Samples were sectioned by horizon or split such that each subsection was not longer than ~10 cm. Each subsection was analyzed for bulk density, soil moisture, soil organic carbon, %N, %C, volumetric ice content, extracted with 2 M KCl for NO3, and NH4. Additionally, net nitrogen mineralization rates were measured by similarly extracting subsamples that incubated for 30 days.
All samples were collected in June 2017. Samples were collected in unburned peat plateaus, as well as those that burned in 2015 and 1972. Locations of samples within each site was selected randomly. Site locations were chosen such that they were within either hiking distance or a short helicopter flight from our basecamp. Samples were verified by resampling 5% of all physical samples by an independent observer, and comparing results for inter-observer consistency.
Polaris: Catalyzing Demographic Change in the Arctic Research Community through an Immersive and Sustained Undergraduate Research Experience Sarah Ludwig originator Robert Holmes Principal Investigator Paul Mann Co-Principal Investigator Ambrose Jearld Co-Principal Investigator Susan Natali Co-Principal Investigator John Schade Former Co-Principal Investigator National Science Foundation https://doi.org/10.13039/00000001 1546024 Scientia Arctica: A Knowledge Archive for Discovery and Reproducible Science in the Arctic https://www.nsf.gov/awardsearch/showAward?AWD_ID=1546024 Polaris_2017_Permafrost.csv This data set includes permafrost cores, with ammonium, nitrate, volumetric ice content, N mineralization rates, %C, and %N results from the 2017 expedition Polaris_2017_Permafrost.csv 17172 ce9f97dd4f1cee964faf02942a34383ae31da1f5 text/csv https://cn.dataone.org/cn/v2/resolve/urn:uuid:ec704da8-f174-49db-b993-bae479cdc5d9 Date Sample collection year YYYY Sample ID Unique identifier that is a combination of site name, core number, and subsection number Unique identifier that is a combination of site name, core number, and subsection number Site ID 72B = 1972 burn, B = 2015 burn, U = unburned, number corresponds to replicate 72B = 1972 burn, B = 2015 burn, U = unburned, number corresponds to replicate Landcover type Landcover type. Either peat plateau, fen, or drained lake Landcover type. Either peat plateau, fen, or drained lake Burn history Old burn corresponds to 1972 fires, recent burn to 2015 fires Old burn corresponds to 1972 fires, recent burn to 2015 fires Latitude Latitude of collection site arc_degree real Longitude Longitude of collection site arc_degree real Thaw depth (cm) =moss+OL Thaw depth measured in soil pit, includes live moss/lichen layer + thawed organic layer below centimeter natural Moss/lichen depth (cm) Depth of live moss/lichen layer on top of organic layer centimeter whole Thawed soil depth (cm) Soil depth is thawed layer (here all organic) below live moss/lichen layer centimeter natural section top (cm) Top of frozen subsection (0 cm means beginning of frozen ground) centimeter whole section bottom (cm) Bottom of frozen section (mostly in 10 cm increments) centimeter real section height (cm) Length of subsection used for subsequent analyses. Sometimes the 10cm segment was further split centimeter real actual top (cm) Adjusts frozen core depth by adding thaw depth and accoutning for when sections are split to accurately place sample in the soil profile centimeter natural actual bottom (cm) Adjusts frozen core depth by adding thaw depth and accoutning for when sections are split to accurately place sample in the soil profile centimeter real Sample type Since we sampled in July, some of the frozen soil we drilled is actually active layer and some is permafrost. We used our average September thaw depths from other studies to estimate frozen active layer depth cutoffs Since we sampled in July, some of the frozen soil we drilled is actually active layer and some is permafrost. We used our average September thaw depths from other studies to estimate frozen active layer depth cutoffs Bulk Density (g/cm3) Bulk density of the sample: Dry weight/volume gramsPerCubicCentimeter real soil moisture % Percent moisture in the soil: (wet - dry weight)/wet weight * 100 dimensionless real GWC g/g Gravimetric water content in the sediment: (wet-dry weight)/dry weight gramsPerGram real VIC (cm3/cm3) Volumetric ice content: GWC * bulk density * 0.9167 g/cm3 cubicCentimetersPerCubicCentimeters real SOM % Percent soil organic matter measured by loss on ignition dimensionless real C mg/mg Proportion carbon in dry soil milligramsPerMilligram real N mg/mg Proportion nitrogen in dry soil milligramsPerMilligram real C/N Ratio of carbon to nitrogen in dry soil dimensionless real NH4 (ug/g-soil) Concentration of ammonium in dry soil from 2M KCl extractions microgramsPerGramSoil real NO3 (ug/g-soil) Concentration of nitrate in dry soil from 2M KCl extractions microgramsPerGramSoil whole Net N mineralization rate (ugN/g-soil/day) Net nitrogen mineralization rate measured by incubating soils for 30 days and extracting with 2M KCl microgramsPerGramSoilPerDay real "NA" NA corresponds to not measured Frozen DIN N-mg/m2 Soil dissolved inorganic nitrogen pool scaled to segment height milligramsPerSquareMeter real Frozen N g/m2 Soil total nitrogen pool scaled segment height gramsPerSquareMeter real Frozen C g/m2 Soil carbon pool scaled to segment height gramsPerSquareMeter real @article{ludwig_2018, title = {Permafrost carbon and nitrogen, Yukon-Kuskokwim Delta, Alaska}, url = {http://ecosphere.esa.org/article/yyyy.zzzzzzz}, doi = {10.xxxx/yyyy.zzzzzz}, journal = {EcoSphere}, author = {Ludwig, Sarah}, year = {2018} } @article{jones_2001, title = {Managing scientific metadata}, volume = {5}, issn = {10897801}, url = {http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=957896}, doi = {10.1109/4236.957896}, number = {5}, journal = {IEEE Internet Computing}, author = {Jones, Matthew B. and Berkley, Chad and Bojilova, Jivka and Schildhauer, Mark}, year = {2001}, pages = {59--68} } @article{fegraus_2005, title = {Maximizing the {Value} of {Ecological} {Data} with {Structured} {Metadata}: {An} {Introduction} to {Ecological} {Metadata} {Language} ({EML}) and {Principles} for {Metadata} {Creation}}, journal = {Bulletin of the Ecological Society of America}, author = {Fegraus, Eric H. and Andelman, Sandy and Jones, Matthew B. and Schildhauer, Mark}, year = {2005}, pages = {158--168} } Title for a paper that used this dataset. Mark Jarkady 2017
EcoSphere https://doi.org/10.1002/ecs2.2166
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