106
transmitter attachment. Mar Mammal Sci 28:316–324. https://doi.
org/10.1111/j.1748-7692.2011.00513.x
Spencer NC, Gilchrist HG, Mallory ML (2014) Annual movement patterns of endangered ivory gulls: the importance of sea ice. PLoS
One 9:e115231. https://doi.org/10.1371/journal.pone.0115231
Stienen EWM, Desmet P, Aelterman B et al (2016) GPS tracking
data of Lesser Black-backed Gulls and Herring Gulls breeding at
the southern North Sea coast. Zookeys 555:115–124. https://doi.
org/10.3897/zookeys.555.6173
Stillman RA, West AD, Goss-Custard JD et al (2003) An individual
behaviour-based model can predict shorebird mortality using routinely collected shellfishery data. J Appl Ecol 40:1090–1101.
https://doi.org/10.1111/j.1365-2664.2003.00853.x
Stillman RA, Railsback SF, Giske J et al (2015) Making predictions
in a changing world: the benefits of individual-based ecology.
Bioscience 65:140–150. https://doi.org/10.1093/biosci/biu192
Sugishita J, Torres LG, Seddon PJ (2015) A new approach to study of
seabird-fishery overlap: connecting chick feeding with parental foraging and overlap with fishing vessels. Glob Ecol Conserv 4:632–
644. https://doi.org/10.1016/j.gecco.2015.11.001
Takahashi A, Sato K, Naito Y et al (2004) Penguin-mounted cameras
glimpse underwater group behaviour. Proc R Soc B 271:S281–
S282. https://doi.org/10.1098/rsbl.2004.0182
Teilmann J, Larsen F, Desportes G (2007) Time allocation and diving
behaviour of harbour porpoises (Phocoena phocoena) in Danish
and adjacent waters. J Cetacean Res Manag 9:201–210
Thaxter CB, Lascelles B, Sugar K et al (2012) Seabird foraging
ranges as a preliminary tool for identifying candidate marine protected areas. Biol Conserv 156:53–61. https://doi.org/10.1016/j.
biocon.2011.12.009
Thaxter CB, Ross-Smith VH, Clark JA et al (2016) Contrasting effects
of GPS device and harness attachment on adult survival of Lesser
Black-backed Gulls Larus fuscus and Great Skuas Stercorarius
skua. Ibis 158:279–290. https://doi.org/10.1111/ibi.12340
Thorrold SR, Afonso P, Fontes J, Braun CD, Santos RS, Skomal GB,
Berumen ML (2014) Extreme diving behaviour in devil rays links
surface waters and the deep ocean. Nat Commun 5:4274
Tomkiewicz SM, Fuller MR, Kie JG et al (2010) Global positioning
system and associated technologies in animal behaviour and ecological research. Philos Trans R Soc Lond B 365:2163–2176. https://
doi.org/10.1098/rstb.2010.0090
Tremblay Y, Bertrand S, Henry RW et al (2009) Analytical approaches
to investigating seabird-environment interactions: a review. Mar
Ecol Prog Ser 391:153–163. https://doi.org/10.3354/meps08146
van der Hoop JM, Fahlman A, Hurst T et al (2014) Bottlenose dolphins
modify behavior to reduce metabolic effect of tag attachment. J Exp
Biol 217:4229–4236. https://doi.org/10.1242/jeb.108225
van der Vaart E, Johnston ASA, Sibly RM (2016) Predicting how
many animals will be where: how to build, calibrate and evaluate
individual-based models. Ecol Modell 326:113–123. https://doi.
org/10.1016/j.ecolmodel.2015.08.012
Vandenabeele SP, Wilson RP, Grogan A (2011) Tags on seabirds: how
seriously are instrument-induced behaviours considered? Anim
Welf 20:559–571
Vandenabeele SP, Shepard EL, Grogan A et al (2012) When three per
cent may not be three percent; device-equipped seabirds experience variable flight constraints. Mar Biol 159:1–14. https://doi.
org/10.1007/s00227-011-1784-6
Vandenabeele SP, Grundy E, Friswell MI et al (2014) Excess baggage
for birds: inappropriate placement of tags on gannets changes flight
patterns. PLoS One 9:e92657. https://doi.org/10.1371/journal.
pone.0092657
Villegas-Amtmann S, Jeglinski JWE, Costa DP et al (2013) Individual
foraging strategies reveal niche overlap between endangered
Galapagos pinnipeds. PLoS One 8:e70748. https://doi.org/10.1371/
journal.pone.0070748
Vincent C, Mcconnell BJ, Ridoux V et al (2002) Assessment of
Argos location accuracy from satellite tags deployed on captive grey seals. Mar Mammal Sci 18:156–166. https://doi.
org/10.1111/j.1748-7692.2002.tb01025.x
Volpov BL, Hoskins AJ, Battaile BC et al (2015) Identification of
prey captures in Australian fur seals (Arctocephalus pusillus doriferus) using head-mounted accelerometers: field validation with
animal-borne video cameras. PLoS One 10:e0128789. https://doi.
org/10.1371/journal.pone.0128789
Volpov BL, Rosen DAS, Hoskins AJ et al (2016) Dive characteristics
can predict foraging success in Australian fur seals (Arctocephalus
pusillus doriferus) as validated by animal-borne video. Biol Open
5:262–271. https://doi.org/10.1242/bio.016659
Votier SC, Bearhop S, Ratcliffe N et al (2004) Reproductive consequences for great skuas specializing as seabird predators. Condor
106:275–287. https://doi.org/10.1650/7261
Votier SC, Bearhop S, Witt MJ et al (2010) Individual responses of
seabirds to commercial fisheries revealed using GPS tracking, stable
isotopes and vessel monitoring systems. J Appl Ecol 47:487–497.
https://doi.org/10.1111/j.1365-2664.2010.01790.x
Votier SC, Bicknell A, Cox SL et al (2013) A bird’s eye view of discard
reforms: bird-borne cameras reveal seabird/fishery interactions.
PLoS One 8:e57376. https://doi.org/10.1371/journal.pone.0057376
Walker BG, Boveng PL (1995) Effects of time-depth recorders on
maternal foraging and attendance behavior of Antarctic fur seals
(Arctocephalus gazella). Can J Zool 73:1538–1544. https://doi.
org/10.1139/z95-182
Watanabe Y, Takahashi A (2013) Linking animal-borne video to accelerometers reveals prey capture variability. Proc Natl Acad Sci U S A
110:2199–2204. https://doi.org/10.1073/pnas.1216244110
Watanabe Y, Mitani Y, Sato K et al (2003) Dive depths of Weddell
seals in relation to vertical prey distribution as estimated by image
data. Mar Ecol Prog Ser 252:283–288. https://doi.org/10.3354/
meps252283
Watanabe Y, Bornemann H, Liebsch N et al (2006) Seal-mounted cameras detect invertebrate fauna on the underside of an Antarctic ice
shelf. Mar Ecol Prog Ser 309:297–300. https://doi.org/10.3354/
meps309297
Watanuki Y, Daunt F, Takahashi A et al (2008) Microhabitat use and
prey capture of a bottom-feeding top predator, the European shag,
shown by camera loggers. Mar Ecol Prog Ser 356:283–293. https://
doi.org/10.3354/meps07266
Weimerskirch H, Åkesson S, Pinaud D (2006) Postnatal dispersal of
wandering albatrosses Diomedea exulans: implications for the
conservation of the species. J Avian Biol 37:23–28. https://doi.
org/10.1111/j.2006.0908-8857.03675.x
Weimerskirch H, Pinaud D, Pawlowski F et al (2007) Does prey capture induce area-restricted search? a fine-scale study using GPS in
a marine predator, the wandering albatross. Am Nat 170:734–743.
https://doi.org/10.1086/522059
Weimerskirch H, Louzao M, de Grissac S et al (2012) Changes in wind
pattern alter albatross distribution and life-history traits. Science
335:211–214. https://doi.org/10.1126/science.1210270
Weimerskirch H, Cherel Y, Delord K et al (2014) Lifetime foraging patterns of the wandering albatross: life on the move! J Exp Mar Bio
Ecol 450:68–78. https://doi.org/10.1016/j.jembe.2013.10.021
Weinrich M (1998) Early experience in habitat choice by Humpback
whales (Megaptera novaeangliae). J Mamm 79:163–170
Weller D (2008) Report of the large whale tagging workshop.
U.S. Marine Mammal Commission, San Diego
Weng KC, Castilho PC, Morrissette JM et al (2005) Satellite tagging
and cardiac physiology reveal niche expansion in salmon sharks.
Science 310:104–106. https://doi.org/10.1126/science.1114616
Wikelski M, Tertitski G (2016) Living sentinels for climate change
effects. Science 352:775–776. https://doi.org/10.1126/science.
aaf6544
B. C. Heylen and D. A. Nachtsheim
transmitter attachment. Mar Mammal Sci 28:316–324. https://doi.
org/10.1111/j.1748-7692.2011.00513.x
Spencer NC, Gilchrist HG, Mallory ML (2014) Annual movement patterns of endangered ivory gulls: the importance of sea ice. PLoS
One 9:e115231. https://doi.org/10.1371/journal.pone.0115231
Stienen EWM, Desmet P, Aelterman B et al (2016) GPS tracking
data of Lesser Black-backed Gulls and Herring Gulls breeding at
the southern North Sea coast. Zookeys 555:115–124. https://doi.
org/10.3897/zookeys.555.6173
Stillman RA, West AD, Goss-Custard JD et al (2003) An individual
behaviour-based model can predict shorebird mortality using routinely collected shellfishery data. J Appl Ecol 40:1090–1101.
https://doi.org/10.1111/j.1365-2664.2003.00853.x
Stillman RA, Railsback SF, Giske J et al (2015) Making predictions
in a changing world: the benefits of individual-based ecology.
Bioscience 65:140–150. https://doi.org/10.1093/biosci/biu192
Sugishita J, Torres LG, Seddon PJ (2015) A new approach to study of
seabird-fishery overlap: connecting chick feeding with parental foraging and overlap with fishing vessels. Glob Ecol Conserv 4:632–
644. https://doi.org/10.1016/j.gecco.2015.11.001
Takahashi A, Sato K, Naito Y et al (2004) Penguin-mounted cameras
glimpse underwater group behaviour. Proc R Soc B 271:S281–
S282. https://doi.org/10.1098/rsbl.2004.0182
Teilmann J, Larsen F, Desportes G (2007) Time allocation and diving
behaviour of harbour porpoises (Phocoena phocoena) in Danish
and adjacent waters. J Cetacean Res Manag 9:201–210
Thaxter CB, Lascelles B, Sugar K et al (2012) Seabird foraging
ranges as a preliminary tool for identifying candidate marine protected areas. Biol Conserv 156:53–61. https://doi.org/10.1016/j.
biocon.2011.12.009
Thaxter CB, Ross-Smith VH, Clark JA et al (2016) Contrasting effects
of GPS device and harness attachment on adult survival of Lesser
Black-backed Gulls Larus fuscus and Great Skuas Stercorarius
skua. Ibis 158:279–290. https://doi.org/10.1111/ibi.12340
Thorrold SR, Afonso P, Fontes J, Braun CD, Santos RS, Skomal GB,
Berumen ML (2014) Extreme diving behaviour in devil rays links
surface waters and the deep ocean. Nat Commun 5:4274
Tomkiewicz SM, Fuller MR, Kie JG et al (2010) Global positioning
system and associated technologies in animal behaviour and ecological research. Philos Trans R Soc Lond B 365:2163–2176. https://
doi.org/10.1098/rstb.2010.0090
Tremblay Y, Bertrand S, Henry RW et al (2009) Analytical approaches
to investigating seabird-environment interactions: a review. Mar
Ecol Prog Ser 391:153–163. https://doi.org/10.3354/meps08146
van der Hoop JM, Fahlman A, Hurst T et al (2014) Bottlenose dolphins
modify behavior to reduce metabolic effect of tag attachment. J Exp
Biol 217:4229–4236. https://doi.org/10.1242/jeb.108225
van der Vaart E, Johnston ASA, Sibly RM (2016) Predicting how
many animals will be where: how to build, calibrate and evaluate
individual-based models. Ecol Modell 326:113–123. https://doi.
org/10.1016/j.ecolmodel.2015.08.012
Vandenabeele SP, Wilson RP, Grogan A (2011) Tags on seabirds: how
seriously are instrument-induced behaviours considered? Anim
Welf 20:559–571
Vandenabeele SP, Shepard EL, Grogan A et al (2012) When three per
cent may not be three percent; device-equipped seabirds experience variable flight constraints. Mar Biol 159:1–14. https://doi.
org/10.1007/s00227-011-1784-6
Vandenabeele SP, Grundy E, Friswell MI et al (2014) Excess baggage
for birds: inappropriate placement of tags on gannets changes flight
patterns. PLoS One 9:e92657. https://doi.org/10.1371/journal.
pone.0092657
Villegas-Amtmann S, Jeglinski JWE, Costa DP et al (2013) Individual
foraging strategies reveal niche overlap between endangered
Galapagos pinnipeds. PLoS One 8:e70748. https://doi.org/10.1371/
journal.pone.0070748
Vincent C, Mcconnell BJ, Ridoux V et al (2002) Assessment of
Argos location accuracy from satellite tags deployed on captive grey seals. Mar Mammal Sci 18:156–166. https://doi.
org/10.1111/j.1748-7692.2002.tb01025.x
Volpov BL, Hoskins AJ, Battaile BC et al (2015) Identification of
prey captures in Australian fur seals (Arctocephalus pusillus doriferus) using head-mounted accelerometers: field validation with
animal-borne video cameras. PLoS One 10:e0128789. https://doi.
org/10.1371/journal.pone.0128789
Volpov BL, Rosen DAS, Hoskins AJ et al (2016) Dive characteristics
can predict foraging success in Australian fur seals (Arctocephalus
pusillus doriferus) as validated by animal-borne video. Biol Open
5:262–271. https://doi.org/10.1242/bio.016659
Votier SC, Bearhop S, Ratcliffe N et al (2004) Reproductive consequences for great skuas specializing as seabird predators. Condor
106:275–287. https://doi.org/10.1650/7261
Votier SC, Bearhop S, Witt MJ et al (2010) Individual responses of
seabirds to commercial fisheries revealed using GPS tracking, stable
isotopes and vessel monitoring systems. J Appl Ecol 47:487–497.
https://doi.org/10.1111/j.1365-2664.2010.01790.x
Votier SC, Bicknell A, Cox SL et al (2013) A bird’s eye view of discard
reforms: bird-borne cameras reveal seabird/fishery interactions.
PLoS One 8:e57376. https://doi.org/10.1371/journal.pone.0057376
Walker BG, Boveng PL (1995) Effects of time-depth recorders on
maternal foraging and attendance behavior of Antarctic fur seals
(Arctocephalus gazella). Can J Zool 73:1538–1544. https://doi.
org/10.1139/z95-182
Watanabe Y, Takahashi A (2013) Linking animal-borne video to accelerometers reveals prey capture variability. Proc Natl Acad Sci U S A
110:2199–2204. https://doi.org/10.1073/pnas.1216244110
Watanabe Y, Mitani Y, Sato K et al (2003) Dive depths of Weddell
seals in relation to vertical prey distribution as estimated by image
data. Mar Ecol Prog Ser 252:283–288. https://doi.org/10.3354/
meps252283
Watanabe Y, Bornemann H, Liebsch N et al (2006) Seal-mounted cameras detect invertebrate fauna on the underside of an Antarctic ice
shelf. Mar Ecol Prog Ser 309:297–300. https://doi.org/10.3354/
meps309297
Watanuki Y, Daunt F, Takahashi A et al (2008) Microhabitat use and
prey capture of a bottom-feeding top predator, the European shag,
shown by camera loggers. Mar Ecol Prog Ser 356:283–293. https://
doi.org/10.3354/meps07266
Weimerskirch H, Åkesson S, Pinaud D (2006) Postnatal dispersal of
wandering albatrosses Diomedea exulans: implications for the
conservation of the species. J Avian Biol 37:23–28. https://doi.
org/10.1111/j.2006.0908-8857.03675.x
Weimerskirch H, Pinaud D, Pawlowski F et al (2007) Does prey capture induce area-restricted search? a fine-scale study using GPS in
a marine predator, the wandering albatross. Am Nat 170:734–743.
https://doi.org/10.1086/522059
Weimerskirch H, Louzao M, de Grissac S et al (2012) Changes in wind
pattern alter albatross distribution and life-history traits. Science
335:211–214. https://doi.org/10.1126/science.1210270
Weimerskirch H, Cherel Y, Delord K et al (2014) Lifetime foraging patterns of the wandering albatross: life on the move! J Exp Mar Bio
Ecol 450:68–78. https://doi.org/10.1016/j.jembe.2013.10.021
Weinrich M (1998) Early experience in habitat choice by Humpback
whales (Megaptera novaeangliae). J Mamm 79:163–170
Weller D (2008) Report of the large whale tagging workshop.
U.S. Marine Mammal Commission, San Diego
Weng KC, Castilho PC, Morrissette JM et al (2005) Satellite tagging
and cardiac physiology reveal niche expansion in salmon sharks.
Science 310:104–106. https://doi.org/10.1126/science.1114616
Wikelski M, Tertitski G (2016) Living sentinels for climate change
effects. Science 352:775–776. https://doi.org/10.1126/science.
aaf6544
B. C. Heylen and D. A. Nachtsheim