10.5285/AD3D4C0A-66D5-4367-A41C-5F3CDFF752F7
Joly, F.X.
https://orcid.org/0000-0002-4453-865X
University of Stirling
Subke, J.A.
https://orcid.org/0000-0001-9244-639X
University of Stirling
Carbon and nitrogen stocks in soil organic matter fractions along grassland-to-forest conversion chronosequences across Scotland in 2018
NERC EDS Environmental Information Data Centre
2022
Scotland
Grasslands
Scot pine
Coniferous forests
Soil carbon
Soil organic matter
Soil fractions
Dr. François-Xavier Joly
https://orcid.org/0000-0002-4453-865X
University of Stirling
University of Stirling
NERC EDS Environmental Information Data Centre
https://ror.org/04xw4m193
2022-04-22
en
https://catalogue.ceh.ac.uk/id/ad3d4c0a-66d5-4367-a41c-5f3cdff752f7
https://data-package.ceh.ac.uk/sd/ad3d4c0a-66d5-4367-a41c-5f3cdff752f7.zip
text/csv Comma-separated values (CSV)
This resource is available under the terms of the Open Government Licence
This dataset contains the carbon and nitrogen content of soil organic matter fractions collected along grassland-to-forest conversion chronosequences.
Four chronosequences of grassland-to-forest conversion were used across Scotland, from Alyth to Craik. Soil samples were collected in summer 2018. Soil samples were collected using soil corers. In 2020, soil samples were fractionated in the laboratory, and the elemental composition of bulk soil and soil fraction samples was determined. The goal of the study was to determine the changes in the quantity of soil organic carbon and nitrogen, and the form in which these carbon and nitrogen are stored.
The data were collected from the results of each measure made on all soil samples. These separate results were then merged by site/sample/soil depth into a single dataframe using R.
-8.648
-0.728
54.634
60.861
Natural Environment Research Council
https://ror.org/02b5d8509