6ddcd5db-2892-475e-94d2-4d70b024b858
English
dataset
Data Archive for Seabed Species and Habitats (DASSH)
Data Manager
01752 633102
01752 633291
Marine Biological Association of the UK,
The Laboratory,
Citadel Hill
Plymouth
PL1 2PB
dassh.enquiries@mba.ac.uk
pointOfContact
2018-05-10
MEDIN Discovery metadata standard
2.3.8
urn:ogc:def:crs:EPSG::3575
2010-2014 Royal Society for the Protection of Birds (RSPB) United Kingdom Shag, Guillemot, Kittiwake and Razorbill distributions
2017-10-06
publication
DASSHDT00000346
http://www.dassh.ac.uk
Population-level estimates of species' distributions can reveal fundamental ecological processes and facilitate conservation. However, these may be difficult to obtain for mobile species, especially colonial central-place foragers (CCPFs; e.g., bats, corvids, social insects), because it is often impractical to determine the provenance of individuals observed beyond breeding sites. Moreover, some CCPFs, especially in the marine realm (e.g., pinnipeds, turtles, and seabirds) are difficult to observe because they range tens to ten thousands of kilometers from their colonies. It is hypothesized that the distribution of CCPFs depends largely on habitat availability and intraspecific competition. Modeling these effects may therefore allow distributions to be estimated from samples of individual spatial usage. Such data can be obtained for an increasing number of species using tracking technology. However, techniques for estimating population-level distributions using the telemetry data are poorly developed. This is of concern because many marine CCPFs, such as seabirds, are threatened by anthropogenic activities. Here, we aim to estimate the distribution at sea of four seabird species, foraging from approximately 5,500 breeding sites in Britain and Ireland. To do so, we GPS-tracked a sample of 230 European Shags Phalacrocorax aristotelis, 464 Black-legged Kittiwakes Rissa tridactyla, 178 Common Murres Uria aalge, and 281 Razorbills Alca torda from 13, 20, 12, and 14 colonies, respectively. Using Poisson point process habitat use models, we show that distribution at sea is dependent on (1) density-dependent competition among sympatric conspecifics (all species) and parapatric conspecifics (Kittiwakes and Murres); (2) habitat accessibility and coastal geometry, such that birds travel further from colonies with limited access to the sea; and (3) regional habitat availability. Using these models, we predict space use by birds from unobserved colonies and thereby map the distribution at sea of each species at both the colony and regional level. Space use by all four species' British breeding populations is concentrated in the coastal waters of Scotland, highlighting the need for robust conservation measures in this area. The techniques we present are applicable to any CCPF.
The maps were updated in May 2018 to correct a small error. The updated maps should be used in place of those available before May 2018.
Mark Bolton
Royal Society for the Protection of Birds (HQ)
mark.bolton@rspb.org.uk
originator
Data Archive for Seabed Species and Habitats (DASSH)
Data Manager
01752 633102
01752 633291
Marine Biological Association of the UK,
The Laboratory,
Citadel Hill
Plymouth
PL1 2PB
dassh.enquiries@mba.ac.uk
custodian
notPlanned
Geographic Information System
Marine Environmental Data and Information Network
NDGO0005
Species distribution
GEMET - INSPIRE themes, version 1.0
2008-01-06
revision
Bird taxonomy-related abundance per unit area of surface
Bird counts
SeaDataNet P021 parameter discovery vocabulary
2009-11-16
revision
DASSH terms and conditions apply
otherRestrictions
DASSH terms and conditions apply
English
biota
International Hydrographic Bureau, Limits of Oceans and Seas
1954-01-01
creation
Bristol Channel
International Hydrographic Bureau, Limits of Oceans and Seas
1954-01-01
creation
English Channel
International Hydrographic Bureau, Limits of Oceans and Seas
1954-01-01
creation
Inner Seas off the West Coast of Scotland
International Hydrographic Bureau, Limits of Oceans and Seas
1954-01-01
creation
Irish Sea and St. George's Channel
International Hydrographic Bureau, Limits of Oceans and Seas
1954-01-01
creation
North Atlantic Ocean
International Hydrographic Bureau, Limits of Oceans and Seas
1954-01-01
creation
North Sea
International Hydrographic Bureau, Limits of Oceans and Seas
1954-01-01
creation
Norwegian Sea
International Hydrographic Bureau, Limits of Oceans and Seas
1954-01-01
creation
Celtic Sea
ICES Statistical Areas
2014-05-16
creation
VIIh
ICES Statistical Areas
2014-05-16
creation
VIIf
ICES Statistical Areas
2014-05-16
creation
VIIg
ICES Statistical Areas
2014-05-16
creation
VIIk1
ICES Statistical Areas
2014-05-16
creation
VIIk2
ICES Statistical Areas
2014-05-16
creation
VIIj2
ICES Statistical Areas
2014-05-16
creation
IVc
ICES Statistical Areas
2014-05-16
creation
VIIc1
ICES Statistical Areas
2014-05-16
creation
VIIc2
ICES Statistical Areas
2014-05-16
creation
VIIb
ICES Statistical Areas
2014-05-16
creation
VIIa
ICES Statistical Areas
2014-05-16
creation
IVb
ICES Statistical Areas
2014-05-16
creation
VIb1
ICES Statistical Areas
2014-05-16
creation
VIb2
ICES Statistical Areas
2014-05-16
creation
VIa
ICES Statistical Areas
2014-05-16
creation
Vb1a
ICES Statistical Areas
2014-05-16
creation
XIIa4
ICES Statistical Areas
2014-05-16
creation
IVa
ICES Statistical Areas
2014-05-16
creation
Vb1b
ICES Statistical Areas
2014-05-16
creation
Va2
ICES Statistical Areas
2014-05-16
creation
IIa2
ICES Statistical Areas
2014-05-16
creation
Vb2
ICES Statistical Areas
2014-05-16
creation
XIIa2
ICES Statistical Areas
2014-05-16
creation
VIIe
ICES Statistical Areas
2014-05-16
creation
VIId
SeaDataNet vertical extent keywords
2010-01-01
revision
atmosphere
SeaDataNet vertical extent keywords
2010-01-01
revision
atmospheric boundary layer
-17.6398
5.5633
48.7262
63.9608
2010-05-01
2014-07-31
Data Archive for Seabed Species and Habitats (DASSH)
Data Manager
01752 633102
01752 633291
Marine Biological Association of the UK,
The Laboratory,
Citadel Hill
Plymouth
PL1 2PB
dassh.enquiries@mba.ac.uk
distributor
http://dassh.ac.uk/downloads/DASSHDT00000346-AS01/
Download data here
A link to the web service or dataset
http://www.dassh.ac.uk
DASSH website
A link to the general host site
dataset
"LAEA" projections centred on lat=-7.947 long=-14.30.
Diving by tagged seabirds can result in short hiatuses in tracking data. To estimate missing locations, and to standardize sampling effort to exactly 100-s intervals, we resampled GPS tracks data by linear interpolation prior to further analysis. Due to the need to deploy and retrieve loggers at the nest, it is normal practice in tracking studies of breeding seabirds to record and analyze bursts of data from one or more complete foraging trip per individual. However, this usually results in individuals being observed for unequal amounts of time because trip duration typically varies widely among individual seabirds. To reduce this bias we subsampled tracking data by randomly selecting a 24-h burst of locations from each bird (Table 1). We omitted the small number of individuals that were tracked for less than 24 h from our analysis. We then selected locations recorded when birds were at sea, categorized according to distance and time from the nest (see Appendix S1 for details). Prior to analysis, we projected all spatial data in Lambert Azimuthal equal area (LAEA) coordinates.
For modelling approach see the paper sighted in the "Additional Information" field under 'Modelling approach' in the 'Materials and Methods' section.