Identification

Title

Elemental cycling in recently deglaciated landscapes, Glacier Bay National Park, Alaska

Abstract

This data set includes soil chemical, physical and microbial properties collected across a two-century glacial chronosequence across six streams in Glacier Bay, Southeast Alaska, U.S.A. We measured soil potential nitrification, denitrification, as well as stable isotopes (delta-15N and delta-13C) of leaves and soil to establish how physical and biological changes associated with ecosystem development interact to determine rates of carbon (C) and nitrogen (N) turnover. Secondly, how these interactions were reflected in the isotopic signature of vegetation and SOM. Data were collected between June 2011 and September 2013 during summer sampling campaigns. Full details about this dataset can be found at https://doi.org/10.5285/7c4c1ed0-3d45-4b7f-8007-b81f6028d686

Resource type

dataset

Resource locator

https://data-package.ceh.ac.uk/sd/7c4c1ed0-3d45-4b7f-8007-b81f6028d686.zip

name: Supporting information

description: Supporting information available to assist in re-use of this dataset

function: information

https://data-package.ceh.ac.uk/data/7c4c1ed0-3d45-4b7f-8007-b81f6028d686

name: Download the data

description: Download a copy of this data

function: download

Unique resource identifier

code

1430921200229

codeSpace

CEH:EIDC:

Dataset language

eng

Spatial reference system

code identifying the spatial reference system

Classification of spatial data and services

Topic category

environment

Keywords

Keyword set

keyword value

Habitats and Biotopes

originating controlled vocabulary

title

GEMET - INSPIRE themes, version 1.0

reference date

date type

publication

effective date

2008-06-01

Keyword set

keyword value

originating controlled vocabulary

title

GeoNames

reference date

date type

creation

effective date

2006-01-01

Keyword set

keyword value

Primary succession

Nitrification

Denitrification

Soil development

soil δ13N

soil δ15N

Glacier Bay

Geographic location

West bounding longitude

-137.5

East bounding longitude

-136

North bounding latitude

58.5

South bounding latitude

57.5

Temporal reference

Temporal extent

Begin position

2011-06-01

End position

2013-09-30

Dataset reference date

date type

publication

effective date

2015-09-30

Frequency of update

unknown

Quality and validity

Lineage

We collected soil samples and leaves from the dominant vegetation types within each catchment. For each vegetation type we collected composite soil samples from three locations. At each location we combined three soil samples taken from within 1 m2 to account for small-scale heterogeneity. We collected soil to a depth of 10 cm using a hand trowel and soil corer. Soils were kept shaded and cool and were processed within four days of collection at the Glacier Bay field laboratory station. Field moist soils were sieved through a 2 mm mesh screen to remove stones and large detritus. We analysed this 2 mm fraction for gravimetric soil moisture, organic matter content (loss on ignition), and pH following standard methods. We used a separate sample, collected with a hand-corer, to estimate bulk density after drying. Soil texture was analysed using laser diffraction. We determined potential nitrite oxidation by nitrite consumption during a 30-hour incubation as a proxy of nitrification. Potential denitrification was analysed using the acetylene block technique. We extracted〖 NH〗_4^+, NO_2^-, and NO_3^- from slurries of 10 g (equivalent dry weight) of field-moist soil and 80 ml of 2M KCl. Soil slurries were agitated on a continuous wheel shaker for 1 h in 100ml high-density polyethylene bottles. Extracts were filtered to 0.2 μm with nylon filters (Millipore), frozen, and transported to the University of Birmingham, UK. 〖 NH〗_4^(+ ) was determined using the buffered hypochlorite method and NO_3^- using cadmium column reduction to NO_2^- followed by a Griess diazotization reaction. NO_2^- was also determined by Griess diazotization reaction. Colorimetric analyses were accomplished on a Jenway 6800 UV/Vis spectrophotometer. The limit of detection was 0.05 μg ml-1 for all N species, accuracy was equal to or better than 90 percent, and coefficient of variation was lower than 1 percent. We measured total N, total C, δ13C, and δ15N of soil and leaves with an elemental analyzer (Vario PYRO cube, Elementar, Hanau, Germany) coupled to an isotope-ratio mass spectrometer (Isoprime, micromass, Manchester, UK) at the Pierre and Marie Curie University, Paris, France. The coefficient of variation was 0.2‰ for δ 13C and 0.3‰ for 15N.

Conformity

Conformity report

specification

title

Commission Regulation (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services

reference date

date type

publication

effective date

2010-12-08

degree

explanation

Data format

name of format

Comma-separated values (CSV)

version of format

Constraints related to access and use

Constraint set

Limitations on public access

Constraint set

Limitations on public access

Constraint set

Limitations on public access

Constraint set

Limitations on public access

If you reuse this data, you should cite: Malone, E.T., Abbott, B.W., Klaar, M.J., Kidd, C., Sébilo, M., Milner, A., Pinay, G. (2015). Elemental cycling in recently deglaciated landscapes, Glacier Bay National Park, Alaska. NERC Environmental Information Data Centre https://doi.org/10.5285/7c4c1ed0-3d45-4b7f-8007-b81f6028d686

owner

Metadata on metadata

Metadata point of contact

organisation name

Environmental Information Data Centre

full postal address

Lancaster Environment Centre, Library Avenue, Bailrigg

Lancaster

LA1 4AP

email address

info@eidc.ac.uk

responsible party role

pointOfContact

Metadata date

2022-05-20T10:40:52

Metadata language

eng