Identification

Title

Ecosystem function and vegetation data from a land use gradient on Salisbury Plain in June 2014

Abstract

This dataset contains ecosystem function and vegetation survey data from soils collected from Salisbury Plain, UK. The sites were selected to reflect the four main grassland management types on Salisbury Plain ranging from arable cropland to species rich grassland, with six representative grassland plots for each type (24 sites in total). Each site had four replicates for each variable measured. The data collected was intended to illustrate a gradient of ecosystem functioning and vegetation change as the grassland becomes more extensively managed. The field sampling was conducted by the University of Manchester and the Centre for Ecology & Hydrology at Wallingford. Soils were extracted for nutrients and analysed by the University of Manchester. The data includes vegetation surveys, where the cover of each plant species present was assessed, and diversity indices were calculated. Furthermore, greenhouse gas fluxes were measured in situ, and soil nutrients and microbial biomass were also determined. Full details about this dataset can be found at https://doi.org/10.5285/0e0a89e1-21f9-413e-8d7e-764b0b714dd6

Resource type

dataset

Resource locator

https://data-package.ceh.ac.uk/sd/0e0a89e1-21f9-413e-8d7e-764b0b714dd6.zip

name: Supporting information

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

function: information

https://catalogue.ceh.ac.uk/datastore/eidchub/0e0a89e1-21f9-413e-8d7e-764b0b714dd6/Ecosystem_function_and_vegetation_data.csv

name: Download the data

description: Download a copy of this data

function: download

Unique resource identifier

code

https://catalogue.ceh.ac.uk/id/0e0a89e1-21f9-413e-8d7e-764b0b714dd6

codeSpace

doi:

Dataset language

eng

Spatial reference system

code identifying the spatial reference system

Classification of spatial data and services

Topic category

biota

Keywords

Keyword set

keyword value

Environmental Monitoring Facilities

originating controlled vocabulary

title

GEMET - INSPIRE themes, version 1.0

reference date

date type

publication

effective date

2008-06-01

Keyword set

keyword value

Ecosystem function

Arable

Intensive grassland

Reverting grassland

Species rich grassland

Calcareous grassland

Vegetation survey

BESS

Geographic location

West bounding longitude

-1.984

East bounding longitude

-1.793

North bounding latitude

51.298

South bounding latitude

51.197

Temporal reference

Temporal extent

Begin position

2014-06-01

End position

2014-06-30

Dataset reference date

date type

publication

effective date

2016-03-21

date type

creation

effective date

2014-06-30

Frequency of update

notPlanned

Quality and validity

Lineage

The data presented in the set have been derived from equations presented in the methods document, in order to account for variations in abiotic variables such as soil moisture or bulk density, or in order to present data in widely used units. The final data have been collated and after outlier removal, but have not been subjected to any transformations to alter variance or normality.

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

© University of Manchester

Constraint set

Limitations on public access

If you reuse this data, you should cite: Fry, E.L., Savage, J., Pritchard, W.J., Bardgett, R.D., Ostle, N., Pywell, R.F., Bullock, J.M. (2016). Ecosystem function and vegetation data from a land use gradient on Salisbury Plain in June 2014. NERC Environmental Information Data Centre https://doi.org/10.5285/0e0a89e1-21f9-413e-8d7e-764b0b714dd6

Responsible organisations

Responsible party

organisation name

University of Manchester

email address

Ellen.fry@manchester.ac.uk

responsible party role

pointOfContact

Responsible party

organisation name

University of Manchester

email address

Ellen.fry@manchester.ac.uk

responsible party role

author

Responsible party

organisation name

Centre for Ecology & Hydrology

email address

enquiries@ceh.ac.uk

responsible party role

author

Responsible party

organisation name

University of Manchester

email address

William.pritchard@manchester.ac.uk

responsible party role

author

Responsible party

organisation name

University of Manchester

email address

Richard.bardgett@manchester.ac.uk

responsible party role

author

Responsible party

organisation name

Lancaster University

email address

N.ostle@lancaster.ac.uk

responsible party role

author

Responsible party

organisation name

Centre for Ecology & Hydrology

email address

enquiries@ceh.ac.uk

responsible party role

author

Responsible party

organisation name

Centre for Ecology & Hydrology

email address

enquiries@ceh.ac.uk

responsible party role

author

Responsible party

organisation name

NERC EDS Environmental Information Data Centre

email address

info@eidc.ac.uk

responsible party role

custodian

Responsible party

organisation name

NERC Environmental Information Data Centre

email address

info@eidc.ac.uk

responsible party role

publisher

Responsible party

organisation name

University of Manchester

email address

enquiries@ceh.ac.uk

responsible party role

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

UK

email address

info@eidc.ac.uk

responsible party role

pointOfContact

Metadata date

2021-06-25T18:32:46

Metadata language

eng