01ea510a307c98cd1fd9855560ca251d 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.