Dataset
The Isle of May long-term study (IMLOTS) seabird annual return rate 1988-2016

This resource is made available under the terms of the Open Government Licence

Newell, M.; Harris, M.P.; Wanless, S.; Burthe, S.; Bogdanova, M.; Gunn, C.M.; Daunt, F. (2016)
https://doi.org/10.5285/53251b3c-6c79-4aeb-a0de-fc63b9350cc1

This dataset contains calculated return rates for five seabird species from representative colonies on the Isle of May, off the East coast of Scotland. Annual return rates are measured as the number of individually colour marked individuals seen in any one year that were also observed in the previous year for the Atlantic puffin (Fratercula arctica), common guillemot (Uria aalge), razorbill (Alca torda), European shag (Phalacrocorax aristotelis) and black-legged kittiwake (Rissa tridactyla). Not every individual is seen in any one year and the data set does not take into account those missed in any previous years hence these data are not to be treated as survival estimates.

The Isle of May long-term study (IMLOTS) aims to identify the impact of environmental change on seabirds and their associated ecosystems. Understanding the mechanisms underlying variation in seabird population size requires a thorough knowledge of demographic parameters, namely birth rates, death rates, immigration and emigration. The effects of environmental change are likely to be different according to which demographic parameter or life history stage is being considered. This complexity means that only long-term monitoring, such as that carried out on the Isle of May, will allow us to understand the functioning of bird populations and their responses to environmental change.

Publication date: 2016-11-01

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Format of the dataset: Comma-separated values (CSV)

Use of this resource is subject to these restrictions

This resource is made available under the terms of the Open Government Licence

You must cite: Newell, M.; Harris, M.P.; Wanless, S.; Burthe, S.; Bogdanova, M.; Gunn, C.M.; Daunt, F. (2016). The Isle of May long-term study (IMLOTS) seabird annual return rate 1988-2016. NERC Environmental Information Data Centre. https://doi.org/10.5285/53251b3c-6c79-4aeb-a0de-fc63b9350cc1

 

This dataset is part of the following

Where/When

Study area
Temporal extent
1988-01-01    to    2016-09-30

Quality

Lineage
Data collected by CEH staff. All fieldwork, sampling and data handling was carried out by experienced and trained staff to defined protocols agreed to meet the objectives of the work. All data was collected in the field in notebooks and field data sheets. These were transcribed to spreadsheets after each check was made and files backed up to CEH directories. All notebooks and fieldsheets are archived at CEH Edinburgh.

The Isle of May is one of four key UK seabird monitoring sites supported by the JNCC (Joint Nature Conservation Committee). CEH has an on-going contract with JNCC to collect data on seabird demography and diet. The data, including that on annual breeding success, feed into the national Seabird Monitoring Programme network.

Authors

Centre for Ecology & Hydrology
Centre for Ecology & Hydrology
Centre for Ecology & Hydrology
Centre for Ecology & Hydrology
Centre for Ecology & Hydrology
Centre for Ecology & Hydrology
Centre for Ecology & Hydrology

Other contacts

Point Of Contact
Centre for Ecology & Hydrology
Bush Estate
Penicuik
Midlothian
EH26 0QB
United Kingdom
Publisher
Custodian
Distributor

Spatial

Spatial reference system
OSGB 1936 / British National Grid

Keywords

Topic categories
Biota
Other keywords
Atlantic puffin
Common guillemot
Razorbill
European shag
Black-legged kittiwake
CEH Topic
Biodiversity
INSPIRE Theme
Species Distribution
Place keywords
Isle of May
Project keywords
Isle of May long-term study (IMLOTS)
Taxon keywords
Phalacrocorax aristotelis
Uria aalge
Fratercula arctica
Rissa tridactyla
Alca torda

Dataset identifiers

https://catalogue.ceh.ac.uk/id/53251b3c-6c79-4aeb-a0de-fc63b9350cc1
doi:10.5285/53251b3c-6c79-4aeb-a0de-fc63b9350cc1

Metadata

Information maintained by
Centre for Ecology & Hydrology
Last updated
2017-10-25T09:27:38