TY - JOUR
T1 - Breeding density, fine-scale tracking, and large-scale modeling reveal the regional distribution of four seabird species
AU - Wakefield, Ewan D.
AU - Owen, Ellie
AU - Baer, Julia
AU - Carroll, Matthew J.
AU - Daunt, Francis
AU - Dodd, Stephen G.
AU - Green, Jonathan A.
AU - Guilford, Tim
AU - Mavor, Roddy A.
AU - Miller, Peter I.
AU - Newell, Mark A.
AU - Newton, Stephen F.
AU - Robertson, Gail S.
AU - Shoji, Akiko
AU - Soanes, Louise M.
AU - Votier, Stephen C.
AU - Wanless, Sarah
AU - Bolton, Mark
N1 - Funding Information:
We gratefully acknowledge the many fieldworkers who assisted with data collection (S. Adlard, D. Aitken, G. Anderson, C. Bell, A. Bellamy, R. Brown, R. Bufton, M. Chimienti, T. Coledale, K. Colhoun, P. Collins, B. Dean, D. Evans, D. Fox, C. Gunn, R. Hughes, J. Lamb, R. Langton, L. Mackley, A. Macmillan, T. Newman, M. Nydegger, L. Quinn, N. Richardson, Y. Satgé, E. Scragg, J. Sturgeon, K. Snell, C. Taylor, J. Taylor, and others); landowners who permitted access to study sites; Jason Matthiopoulos and. John Fieberg for statistical advice; and Peter Cornelius for access to computing facilities; Mitohiro Ito for access to tracking data; and NERC Earth Observation Data Acquisition and Analysis Service for supplying SST and NPP data. We thank John Marzluff, Norman Ratcliffe, Jeremy Wilson, Linda Wilson, Alex Kinninmonth, Rosie Sutherland, and Kate Jennings for valuable comments on earlier drafts of this paper. Seabird counts extracted from the Seabird Monitoring Programme (SMP) database were provided by the generous contributions of nature conservation and research organizations, and many volunteers throughout Britain and Ireland (the SMP Database Host, data provider, original recorder and the SMP Partnership bear no responsibility for any further analysis or interpretation of these data). This study was conducted using MyOcean products and we thank all organizations involved. Figures depicting results from models V, VII, and VIII were derived using Geological Map Data © NERC 2015. Funding was provided by the European Regional Development Fund through its Atlantic Area Programme, Marine Scotland, Scottish Natural Heritage, Natural England, the Natural Environment Research Council, the Joint Nature Conservation Committee, Natural Resources Wales, Environment Wales, Argyll Bird Club, Fair Isle Bird Observatory Trust, and the RSPB.
Publisher Copyright:
© 2017 by the Ecological Society of America.
PY - 2017/10/2
Y1 - 2017/10/2
N2 - 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.
AB - 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.
KW - animal tracking
KW - central-place foraging
KW - coloniality
KW - density dependence
KW - habitat use
KW - Poisson point process
KW - species distribution models
UR - http://www.scopus.com/inward/record.url?scp=85030159201&partnerID=8YFLogxK
U2 - 10.1002/eap.1591
DO - 10.1002/eap.1591
M3 - Article
C2 - 28653410
AN - SCOPUS:85030159201
SN - 1051-0761
VL - 27
SP - 2074
EP - 2091
JO - Ecological Applications
JF - Ecological Applications
IS - 7
ER -