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The Isle of May long-term study (IMLOTS) seabird annual breeding success 1982-2012

Publisher
Environmental Information Data Centre
Updated
4 September 2026
Topic
Not set
Licence
Not set

Summary

[THIS DATASET HAS BEEN WITHDRAWN]. This dataset contains calculated breeding success rates for six seabird species from representative colonies on the Isle of May, off the East coast of Scotland. Annual breeding success has been measured as the number of chicks fledged per active nest for the Atlantic puffin (Fratercula arctica, since 1982), common guillemot (Uria aalge, since 1982), razorbill (Alca torda, since 1982), European shag (Phalacrocorax aristotelis, since 1987), black-legged kittiwake (Rissa tridactyla, since 1987) and northern fulmar (Fulmarus glacialis, since 1987). The number of active nests recorded are also provided. Data were collected as part of the Isle of May long-term study (IMLOTS), which aims to identify the impact of environmental change on seabirds and their associated ecosystems. This monitoring has been ongoing since 1974, by essentially the same team of scientists, using the same well-documented methods throughout this time. Full details about this dataset can be found at https://doi.org/10.5285/d38b609b-7bc1-4204-86dd-022375208d4f

Data links

Link Format Preview Updated
Supporting documents ZIP 4/9/2026

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Additional information

Source Metadata
XML, HTML
Date added
02 September 2026
Harvest GUID
d38b609b-7bc1-4204-86dd-022375208d4f
Extent (Latitude)
56.193° to 56.179°
Extent (Longitude)
-2.567° to -2.544°
Dataset reference date (publication)
2013-02-05
Frequency of update
unknown
Access constraints
If you reuse this data, you should cite: Newell, M., Harris, M., Wanless, S., Burthe, S., Bogdanova, M., Gunn, C., Daunt, F. (2013). The Isle of May long-term study (IMLOTS) seabird annual breeding success 1982-2012. NERC Environmental Information Data Centre https://doi.org/10.5285/d38b609b-7bc1-4204-86dd-022375208d4f
Responsible party
(author, pointOfContact, publisher, custodian)
ISO 19139 resource type
dataset
Metadata language
eng