DAERA Annual Rocky Shore Macroalgae Survey

Published by:
Marine Environmental Data & Information Network
Last updated:
01 August 2022
Topic:
Not added
Licence:
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Summary

The rocky shore macroalgae survey is annual assessment of the proportions of rhodophyta (red algae), chlorophyta (green algae), and opportunistic macroalgae communities at fixed sites around the Northern Irish coast. Algal populations can alter in numbers and species composition due to external environmental influence, hence they are a useful indicator of anthropogenic disturbances and pollution. Shores are surveyed for presence of specimens against a prescribed list of species (Reduced Species List).Certain sites are also surveyed for a complete list of species present (Full Species List). Data is recorded as presence (1), or absence (""). Data collected contributes to the classification of Northern Irish water bodies under the Rocky Shore Macroalgae quality element of the EU Water Framework Directive. Within DAERA, this work forms part of the Intertidal Rocky Shore work programme (MM(YY)-12).

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Data links

Link to the data Format File added Data preview
NI Open Data Portal N/A 01 August 2022 Not available
NI Open Data Portal - Macroalgae Rocky Shore Survey Page N/A 01 August 2022 Not available

Additional information

View additional metadata
Added to data.gov.uk
2022-07-22
Access contraints
no restrictions on use.
Harvest GUID
ad9d6383a1092a8b27f1a9b3e1468343
Extent
Latitude: 55.3492° to 53.9639°
Longitude: -7.3833° to -5.2739°
Spatial reference system
urn:ogc:def:crs:EPSG::4326
Dataset reference date
2008-06-27 (publication)
Frequency of update
annually
Responsible party
Department of Agriculture, Environment and Rural Affairs (originator, custodian)
ISO 19139 resource type
dataset
Metadata language
eng
Source Metadata
XML
HTML

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Licence information

Although the Department (of Agriculture, Environment and Rural Affairs - DAERA) has made every effort to prepare the data and believes the information it contains is reliable within the context in which the data was originally generated/collected, errors within the data remain a possibility. Therefore the Department gives no warranty regarding the accuracy or suitability of the data for the data requestors intended use, and accepts no responsibility for any errors or omissions, or for the use of, or results obtained from the use of this data, whether in part or in whole.