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Barnacle geese Branta leucopsis breeding on Novaya Zemlya: current distribution and population size estimated from tracking data. Polar Biol 2022. [DOI: 10.1007/s00300-022-03110-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
AbstractThe Russian breeding population of barnacle geese Branta leucopsis has shown a rapid increase in numbers since 1980, which has coincided with a southwest-wards breeding range expansion within the Russian Arctic. Here barnacle geese also started to occupy coastal and marsh land habitats, in which they were not know to nest on their traditional breeding grounds. While these changes have been well documented by studies and observations throughout the new breeding range of barnacle geese, observations are lacking from the traditional breeding grounds on Novaya Zemlya, as this area is remote and difficult to access. This is especially relevant given rapid climate warming in this area, which may impact local distribution and population size. We used GPS-tracking and behavioural biologging data from 46 individual barnacle geese captured on their wintering grounds to locate nest sites in the Russian Arctic and study nesting distribution in 2008–2010 and 2018–2020. Extrapolating from nest counts on Kolguev Island, we estimate the breeding population on Novaya Zemlya in 2018–2020 to range around 75,250 pairs although the confidence interval around this estimate was large. A comparison with the historical size of the barnacle goose population suggests an increase in the breeding population on Novaya Zemlya, corresponding with changes in other areas of the breeding range. Our results show that many barnacle geese on Novaya Zemlya currently nest on lowland tundra on Gusinaya Zemlya Peninsula. This region has been occupied by barnacle geese only since 1990 and appears to be mainly available for nesting in years with early spring. Tracking data are a valuable tool to increase our knowledge of remote locations, but counts of breeding individuals or nests are needed to further corroborate estimates of breeding populations based on tracking data.
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2
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Lameris TK, Tomkovich PS, Johnson JA, Morrison RIG, Tulp I, Lisovski S, DeCicco L, Dementyev M, Gill RE, Ten Horn J, Piersma T, Pohlen Z, Schekkerman H, Soloviev M, Syroechkovsky EE, Zhemchuzhnikov MK, van Gils JA. Mismatch-induced growth reductions in a clade of Arctic-breeding shorebirds are rarely mitigated by increasing temperatures. GLOBAL CHANGE BIOLOGY 2022; 28:829-847. [PMID: 34862835 DOI: 10.1111/gcb.16025] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/28/2021] [Revised: 11/16/2021] [Accepted: 11/18/2021] [Indexed: 06/13/2023]
Abstract
In seasonal environments subject to climate change, organisms typically show phenological changes. As these changes are usually stronger in organisms at lower trophic levels than those at higher trophic levels, mismatches between consumers and their prey may occur during the consumers' reproduction period. While in some species a trophic mismatch induces reductions in offspring growth, this is not always the case. This variation may be caused by the relative strength of the mismatch, or by mitigating factors like increased temperature-reducing energetic costs. We investigated the response of chick growth rate to arthropod abundance and temperature for six populations of ecologically similar shorebirds breeding in the Arctic and sub-Arctic (four subspecies of Red Knot Calidris canutus, Great Knot C. tenuirostris and Surfbird C. virgata). In general, chicks experienced growth benefits (measured as a condition index) when hatching before the seasonal peak in arthropod abundance, and growth reductions when hatching after the peak. The moment in the season at which growth reductions occurred varied between populations, likely depending on whether food was limiting growth before or after the peak. Higher temperatures led to faster growth on average, but could only compensate for increasing trophic mismatch for the population experiencing the coldest conditions. We did not find changes in the timing of peaks in arthropod availability across the study years, possibly because our series of observations was relatively short; timing of hatching displayed no change over the years either. Our results suggest that a trend in trophic mismatches may not yet be evident; however, we show Arctic-breeding shorebirds to be vulnerable to this phenomenon and vulnerability to depend on seasonal prey dynamics.
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Affiliation(s)
- Thomas K Lameris
- NIOZ Royal Netherlands Institute for Sea Research, Den Burg, The Netherlands
| | - Pavel S Tomkovich
- Zoological Museum, MV Lomonosov Moscow State University, Moscow, Russia
| | - James A Johnson
- Migratory Bird Management, US Fish and Wildlife Service, Anchorage, Alaska, USA
| | - R I Guy Morrison
- National Wildlife Research Centre, Environment and Climate Change Canada, Ottawa, Ontario, Canada
| | - Ingrid Tulp
- Wageningen Marine Research, Wageningen University, IJmuiden, The Netherlands
| | - Simeon Lisovski
- Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research, Potsdam, Germany
| | - Lucas DeCicco
- Migratory Bird Management, US Fish and Wildlife Service, Anchorage, Alaska, USA
| | - Maksim Dementyev
- Department of Vertebrate Zoology, Lomonosov Moscow State University, Moscow, Russia
| | - Robert E Gill
- U.S. Geological Survey, Alaska Science Center, Anchorage, Alaska, USA
| | - Job Ten Horn
- NIOZ Royal Netherlands Institute for Sea Research, Den Burg, The Netherlands
| | - Theunis Piersma
- NIOZ Royal Netherlands Institute for Sea Research, Den Burg, The Netherlands
- Conservation Ecology Group, Groningen Inst. for Evolutionary Life Sciences (GELIFES), University of Groningen, Groningen, The Netherlands
| | - Zachary Pohlen
- Migratory Bird Management, US Fish and Wildlife Service, Anchorage, Alaska, USA
| | - Hans Schekkerman
- Sovon Dutch Centre for Field Ornithology, Nijmegen, The Netherlands
| | - Mikhail Soloviev
- Department of Vertebrate Zoology, Lomonosov Moscow State University, Moscow, Russia
| | | | | | - Jan A van Gils
- NIOZ Royal Netherlands Institute for Sea Research, Den Burg, The Netherlands
- Conservation Ecology Group, Groningen Inst. for Evolutionary Life Sciences (GELIFES), University of Groningen, Groningen, The Netherlands
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3
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Lameris TK, Hoekendijk J, Aarts G, Aarts A, Allen AM, Bienfait L, Bijleveld AI, Bongers MF, Brasseur S, Chan YC, de Ferrante F, de Gelder J, Derksen H, Dijkgraaf L, Dijkhuis LR, Dijkstra S, Elbertsen G, Ernsten R, Foxen T, Gaarenstroom J, Gelhausen A, van Gils JA, Grosscurt S, Grundlehner A, Hertlein ML, van Heumen AJ, Heurman M, Huffeldt NP, Hutter WH, Kamstra YJJ, Keij F, van Kempen S, Keurntjes G, Knap H, Loonstra AJ, Nolet BA, Nuijten RJ, Mattijssen D, Oosterhoff H, Paarlberg N, Parekh M, Pattyn J, Polak C, Quist Y, Ras S, Reneerkens J, Ruth S, van der Schaar E, Schroen G, Spikman F, van Velzen J, Voorn E, Vos J, Wang D, Westdijk W, Wind M, Zhemchuzhnikov MK, van Langevelde F. Migratory vertebrates shift migration timing and distributions in a warming Arctic. ANIMAL MIGRATION 2021. [DOI: 10.1515/ami-2020-0112] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022] Open
Abstract
Abstract
Climate warming in the Arctic has led to warmer and earlier springs, and as a result, many food resources for migratory animals become available earlier in the season, as well as become distributed further northwards. To optimally profit from these resources, migratory animals are expected to arrive earlier in the Arctic, as well as shift their own spatial distributions northwards. Here, we review literature to assess whether Arctic migratory birds and mammals already show shifts in migration timing or distribution in response to the warming climate. Distribution shifts were most prominent in marine mammals, as expected from observed northward shifts of their resources. At least for many bird species, the ability to shift distributions is likely constrained by available habitat further north. Shifts in timing have been shown in many species of terrestrial birds and ungulates, as well as for polar bears. Within species, we found strong variation in shifts in timing and distributions between populations. Ou r review thus shows that many migratory animals display shifts in migration timing and spatial distribution in reaction to a warming Arctic. Importantly, we identify large knowledge gaps especially concerning distribution shifts and timing of autumn migration, especially for marine mammals. Our understanding of how migratory animals respond to climate change appears to be mostly limited by the lack of long-term monitoring studies.
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Affiliation(s)
- Thomas K. Lameris
- Department of Coastal Systems , NIOZ Royal Netherlands Institute for Sea Research , Den Burg, Texel, The Netherlands ; Department of Animal Ecology , Netherlands Institute of Ecology (NIOO-KNAW) , Wageningen , the Netherlands
| | - Jeroen Hoekendijk
- Department of Coastal Systems , NIOZ Royal Netherlands Institute for Sea Research , Den Burg, Texel, The Netherlands
| | - Geert Aarts
- Department of Coastal Systems , NIOZ Royal Netherlands Institute for Sea Research , Den Burg, Texel, The Netherlands
- Wildlife Ecology & Conservation Group , Wageningen University , Wageningen , The Netherlands
- Wageningen Marine Research , Wage-ningen University and Research , Den Helder , the Netherlands
| | - Aline Aarts
- Wildlife Ecology & Conservation Group , Wageningen University , Wageningen , The Netherlands
| | - Andrew M. Allen
- Department of Animal Ecology , Netherlands Institute of Ecology (NIOO-KNAW) , Wageningen , the Netherlands
| | - Louise Bienfait
- Wildlife Ecology & Conservation Group , Wageningen University , Wageningen , The Netherlands
| | - Allert I. Bijleveld
- Department of Coastal Systems , NIOZ Royal Netherlands Institute for Sea Research , Den Burg, Texel, The Netherlands
| | - Morten F. Bongers
- Wildlife Ecology & Conservation Group , Wageningen University , Wageningen , The Netherlands
| | - Sophie Brasseur
- Department of Coastal Systems , NIOZ Royal Netherlands Institute for Sea Research , Den Burg, Texel, The Netherlands
- Wageningen Marine Research , Wage-ningen University and Research , Den Helder , the Netherlands
| | - Ying-Chi Chan
- Department of Coastal Systems , NIOZ Royal Netherlands Institute for Sea Research , Den Burg, Texel, The Netherlands
- Conservation Ecology Group, Groningen Institute for Evolutionary Life Sciences (GELIFES) , University of Groningen , Groningen , the Netherlands
| | - Frits de Ferrante
- Wildlife Ecology & Conservation Group , Wageningen University , Wageningen , The Netherlands
| | - Jesse de Gelder
- Wildlife Ecology & Conservation Group , Wageningen University , Wageningen , The Netherlands
| | - Hilmar Derksen
- Wildlife Ecology & Conservation Group , Wageningen University , Wageningen , The Netherlands
| | - Lisa Dijkgraaf
- Wildlife Ecology & Conservation Group , Wageningen University , Wageningen , The Netherlands
| | - Laurens R. Dijkhuis
- Wildlife Ecology & Conservation Group , Wageningen University , Wageningen , The Netherlands
| | - Sanne Dijkstra
- Wildlife Ecology & Conservation Group , Wageningen University , Wageningen , The Netherlands
| | - Gert Elbertsen
- Wildlife Ecology & Conservation Group , Wageningen University , Wageningen , The Netherlands
| | - Roosmarijn Ernsten
- Wildlife Ecology & Conservation Group , Wageningen University , Wageningen , The Netherlands
| | - Tessa Foxen
- Wildlife Ecology & Conservation Group , Wageningen University , Wageningen , The Netherlands
| | - Jari Gaarenstroom
- Wildlife Ecology & Conservation Group , Wageningen University , Wageningen , The Netherlands
| | - Anna Gelhausen
- Wildlife Ecology & Conservation Group , Wageningen University , Wageningen , The Netherlands
| | - Jan A. van Gils
- Department of Coastal Systems , NIOZ Royal Netherlands Institute for Sea Research , Den Burg, Texel, The Netherlands
- Conservation Ecology Group, Groningen Institute for Evolutionary Life Sciences (GELIFES) , University of Groningen , Groningen , the Netherlands
| | - Sebastiaan Grosscurt
- Wildlife Ecology & Conservation Group , Wageningen University , Wageningen , The Netherlands
| | - Anne Grundlehner
- Wildlife Ecology & Conservation Group , Wageningen University , Wageningen , The Netherlands
| | - Marit L. Hertlein
- Wildlife Ecology & Conservation Group , Wageningen University , Wageningen , The Netherlands
| | - Anouk J.P. van Heumen
- Wildlife Ecology & Conservation Group , Wageningen University , Wageningen , The Netherlands
| | - Moniek Heurman
- Wildlife Ecology & Conservation Group , Wageningen University , Wageningen , The Netherlands
| | - Nicholas Per Huffeldt
- Greenland Institute of Natural Resources , Nuuk , Greenland & Arctic Ecosystem Ecology, Department of Bioscience , Aarhus University , Roskilde , Denmark
| | - Willemijn H. Hutter
- Wildlife Ecology & Conservation Group , Wageningen University , Wageningen , The Netherlands
| | - Ynze J. J. Kamstra
- Wildlife Ecology & Conservation Group , Wageningen University , Wageningen , The Netherlands
| | - Femke Keij
- Wildlife Ecology & Conservation Group , Wageningen University , Wageningen , The Netherlands
| | - Susanne van Kempen
- Wildlife Ecology & Conservation Group , Wageningen University , Wageningen , The Netherlands
| | - Gabi Keurntjes
- Wildlife Ecology & Conservation Group , Wageningen University , Wageningen , The Netherlands
| | - Harmen Knap
- Wildlife Ecology & Conservation Group , Wageningen University , Wageningen , The Netherlands
| | | | - Bart A. Nolet
- Department of Animal Ecology , Netherlands Institute of Ecology (NIOO-KNAW) , Wageningen , the Netherlands
- Theoretical and Computational Ecology, Institute for Biodiversity and Ecosystem Dynamics , University of Amsterdam , Amsterdam , the Netherlands
| | - Rascha J.M. Nuijten
- Wildlife Ecology & Conservation Group , Wageningen University , Wageningen , The Netherlands
- Interdisciplinary Centre for Conservation Science, Department of Zoology , University of Oxford , Oxford , UK
| | - Djan Mattijssen
- Wildlife Ecology & Conservation Group , Wageningen University , Wageningen , The Netherlands
| | - Hanna Oosterhoff
- Wildlife Ecology & Conservation Group , Wageningen University , Wageningen , The Netherlands
| | - Nienke Paarlberg
- Wildlife Ecology & Conservation Group , Wageningen University , Wageningen , The Netherlands
| | - Malou Parekh
- Wildlife Ecology & Conservation Group , Wageningen University , Wageningen , The Netherlands
| | - Jef Pattyn
- Wildlife Ecology & Conservation Group , Wageningen University , Wageningen , The Netherlands
| | - Celeste Polak
- Wildlife Ecology & Conservation Group , Wageningen University , Wageningen , The Netherlands
| | - Yordi Quist
- Wildlife Ecology & Conservation Group , Wageningen University , Wageningen , The Netherlands
| | - Susan Ras
- Wildlife Ecology & Conservation Group , Wageningen University , Wageningen , The Netherlands
| | - Jeroen Reneerkens
- Department of Coastal Systems , NIOZ Royal Netherlands Institute for Sea Research , Den Burg, Texel, The Netherlands
| | - Saskia Ruth
- Wildlife Ecology & Conservation Group , Wageningen University , Wageningen , The Netherlands
| | - Evelien van der Schaar
- Wildlife Ecology & Conservation Group , Wageningen University , Wageningen , The Netherlands
| | - Geert Schroen
- Wildlife Ecology & Conservation Group , Wageningen University , Wageningen , The Netherlands
| | - Fanny Spikman
- Wildlife Ecology & Conservation Group , Wageningen University , Wageningen , The Netherlands
| | - Joyce van Velzen
- Wildlife Ecology & Conservation Group , Wageningen University , Wageningen , The Netherlands
| | - Ezra Voorn
- Wildlife Ecology & Conservation Group , Wageningen University , Wageningen , The Netherlands
| | - Janneke Vos
- Wildlife Ecology & Conservation Group , Wageningen University , Wageningen , The Netherlands
| | - Danyang Wang
- Wildlife Ecology & Conservation Group , Wageningen University , Wageningen , The Netherlands
| | - Wilson Westdijk
- Wildlife Ecology & Conservation Group , Wageningen University , Wageningen , The Netherlands
| | - Marco Wind
- Wildlife Ecology & Conservation Group , Wageningen University , Wageningen , The Netherlands
| | - Mikhail K. Zhemchuzhnikov
- Department of Coastal Systems , NIOZ Royal Netherlands Institute for Sea Research , Den Burg, Texel, The Netherlands
| | - Frank van Langevelde
- Wildlife Ecology & Conservation Group , Wageningen University , Wageningen , The Netherlands
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4
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Frigerio D, Sumasgutner P, Kotrschal K, Kleindorfer S, Hemetsberger J. From individual to population level: Temperature and snow cover modulate fledging success through breeding phenology in greylag geese (Anser anser). Sci Rep 2021; 11:16100. [PMID: 34373490 PMCID: PMC8352867 DOI: 10.1038/s41598-021-95011-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2021] [Accepted: 07/19/2021] [Indexed: 11/15/2022] Open
Abstract
Local weather conditions may be used as environmental cues by animals to optimize their breeding behaviour, and could be affected by climate change. We measured associations between climate, breeding phenology, and reproductive output in greylag geese (Anser anser) across 29 years (1990-2018). The birds are individually marked, which allows accurate long-term monitoring of life-history parameters for all pairs within the flock. We had three aims: (1) identify climate patterns at a local scale in Upper Austria, (2) measure the association between climate and greylag goose breeding phenology, and (3) measure the relationship between climate and both clutch size and fledging success. Ambient temperature increased 2 °C across the 29-years study period, and higher winter temperature was associated with earlier onset of egg-laying. Using the hatch-fledge ratio, average annual temperature was the strongest predictor for the proportion of fledged goslings per season. There is evidence for an optimum time window for egg-laying (the earliest and latest eggs laid had the lowest fledging success). These findings broaden our understanding of environmental effects and population-level shifts which could be associated with increased ambient temperature and can thus inform future research about the ecological consequences of climate changes and reproductive output in avian systems.
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Affiliation(s)
- Didone Frigerio
- Konrad Lorenz Research Center, Core Facility for Behavior and Cognition, University of Vienna, Fischerau 11, 4645, Grünau im Almtal, Austria
- Department of Behavioral and Cognitive Biology, University of Vienna, Althanstrasse 14, 1090, Vienna, Austria
| | - Petra Sumasgutner
- Konrad Lorenz Research Center, Core Facility for Behavior and Cognition, University of Vienna, Fischerau 11, 4645, Grünau im Almtal, Austria
- Department of Behavioral and Cognitive Biology, University of Vienna, Althanstrasse 14, 1090, Vienna, Austria
| | - Kurt Kotrschal
- Konrad Lorenz Research Center, Core Facility for Behavior and Cognition, University of Vienna, Fischerau 11, 4645, Grünau im Almtal, Austria
- Department of Behavioral and Cognitive Biology, University of Vienna, Althanstrasse 14, 1090, Vienna, Austria
| | - Sonia Kleindorfer
- Konrad Lorenz Research Center, Core Facility for Behavior and Cognition, University of Vienna, Fischerau 11, 4645, Grünau im Almtal, Austria.
- Department of Behavioral and Cognitive Biology, University of Vienna, Althanstrasse 14, 1090, Vienna, Austria.
- College of Science and Engineering, Flinders University, Adelaide, SA, Australia.
| | - Josef Hemetsberger
- Konrad Lorenz Research Center, Core Facility for Behavior and Cognition, University of Vienna, Fischerau 11, 4645, Grünau im Almtal, Austria
- Department of Behavioral and Cognitive Biology, University of Vienna, Althanstrasse 14, 1090, Vienna, Austria
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5
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Steenhuisen F, van den Heuvel-Greve M. Exposure radius of a local coal mine in an Arctic coastal system; correlation between PAHs and mercury as a marker for a local mercury source. ENVIRONMENTAL MONITORING AND ASSESSMENT 2021; 193:499. [PMID: 34291327 PMCID: PMC8295130 DOI: 10.1007/s10661-021-09287-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/29/2021] [Accepted: 07/12/2021] [Indexed: 05/26/2023]
Abstract
Mercury in the Arctic originates from emissions and releases at lower latitudes and, to a lesser extent, from local and regional sources. The relationship between mercury (Hg) and polycyclic aromatic hydrocarbons (PAHs) in sediment can be applied as an indicator of the mercury source. This research examines the Hg contamination gradient from a land-based coal mine to the surrounding coastal environment to quantify the impact of local sources. Total mercury and PAH (Σ14PAH) were measured in terrestrial and marine sediments as well as in marine biota. Samples were collected at the mine and two reference sites. Mercury and Σ14PAH concentrations in samples collected at the mine site were significantly higher than those at the reference sites. This was also found in the biota samples, although less pronounced. This work addresses the complexities of interpreting data concerning very low contaminant levels in a relatively pristine environment. A clear correlation between PAH and Hg concentration in sediment was found, although a large number of samples had levels below detection limits. PAH profiles, hierarchical clustering, and molecular diagnostic ratios provided further insight into the origin of PAHs and Hg, showing that signatures in sediments from the nearest reference site were more similar to the mine, which was not the case for the other reference site. The observed exposure radius from the mine was small and diluted from land to water to marine biota. Due to low contamination levels and variable PAH profiles, marine biota was less suitable for tracing the exposure radius for this local land-based Hg source. With an expected increase in mobility and availability of contaminants in the warming Arctic, changes in input of PAHs and Hg from land-based sources to the marine system need close monitoring.
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Affiliation(s)
- Frits Steenhuisen
- Arctic Centre, University of Groningen, Aweg 30, 9718, CW, Groningen, the Netherlands.
| | - Martine van den Heuvel-Greve
- Wageningen Marine Research, P.O. Box 77, 4400 AB, Yerseke, The Netherlands
- Marine Animal Ecology, Wageningen University, P.O. Box 338, 6700 AH, Wageningen, The Netherlands
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6
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Lameris TK, Dokter AM, van der Jeugd HP, Bouten W, Koster J, Sand SHH, Westerduin C, Nolet BA. Nocturnal foraging lifts time constraints in winter for migratory geese but hardly speeds up fueling. Behav Ecol 2021; 32:539-552. [PMID: 34104110 PMCID: PMC8177807 DOI: 10.1093/beheco/araa152] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2020] [Revised: 12/09/2020] [Accepted: 01/07/2021] [Indexed: 11/25/2022] Open
Abstract
Climate warming advances the optimal timing of breeding for many animals. For migrants to start breeding earlier, a concurrent advancement of migration is required, including premigratory fueling of energy reserves. We investigate whether barnacle geese are time constrained during premigratory fueling and whether there is potential to advance or shorten the fueling period to allow an earlier migratory departure. We equipped barnacle geese with GPS trackers and accelerometers to remotely record birds’ behavior, from which we calculated time budgets. We examined how time spent foraging was affected by the available time (during daylight and moonlit nights) and thermoregulation costs. We used an energetic model to assess onset and rates of fueling and whether geese can further advance fueling by extending foraging time. We show that, during winter, when facing higher thermoregulation costs, geese consistently foraged at night, especially during moonlit nights, in order to balance their energy budgets. In spring, birds made use of the increasing day length and gained body stores by foraging longer during the day, but birds stopped foraging extensively during the night. Our model indicates that, by continuing nighttime foraging throughout spring, geese may have some leeway to advance and increase fueling rate, potentially reaching departure body mass 4 days earlier. In light of rapid climatic changes on the breeding grounds, whether this advancement can be realized and whether it will be sufficient to prevent phenological mismatches remains to be determined.
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Affiliation(s)
- Thomas K Lameris
- Department of Animal Ecology, Netherlands Institute of Ecology (NIOO-KNAW), Droevendaalsesteeg 10, 6708 PB Wageningen, the Netherlands.,Theoretical and Computational Ecology, Institute for Biodiversity and Ecosystem Dynamics, University of Amsterdam, Sciencepark 904, 1098 XH Amsterdam, the Netherlands.,NIOZ Royal Netherlands Institute for Sea Research, Department of Coastal Systems, Den Burg, Landsdiep 4, 1797 SZ 't Horntje (Texel), The Netherlands
| | - Adriaan M Dokter
- Theoretical and Computational Ecology, Institute for Biodiversity and Ecosystem Dynamics, University of Amsterdam, Sciencepark 904, 1098 XH Amsterdam, the Netherlands.,Cornell Lab of Ornithology, Cornell University, Ithaca, NY, USA.,Vogeltrekstation-Dutch Centre for Avian Migration and Demography (NIOO-KNAW), Droevendaalsesteeg 10, 6708 PB Wageningen, the Netherlands
| | - Henk P van der Jeugd
- Department of Animal Ecology, Netherlands Institute of Ecology (NIOO-KNAW), Droevendaalsesteeg 10, 6708 PB Wageningen, the Netherlands.,Vogeltrekstation-Dutch Centre for Avian Migration and Demography (NIOO-KNAW), Droevendaalsesteeg 10, 6708 PB Wageningen, the Netherlands
| | - Willem Bouten
- Theoretical and Computational Ecology, Institute for Biodiversity and Ecosystem Dynamics, University of Amsterdam, Sciencepark 904, 1098 XH Amsterdam, the Netherlands
| | - Jasper Koster
- Department of Animal Ecology, Netherlands Institute of Ecology (NIOO-KNAW), Droevendaalsesteeg 10, 6708 PB Wageningen, the Netherlands
| | - Stefan H H Sand
- Department of Animal Ecology, Netherlands Institute of Ecology (NIOO-KNAW), Droevendaalsesteeg 10, 6708 PB Wageningen, the Netherlands
| | - Coen Westerduin
- Department of Animal Ecology, Netherlands Institute of Ecology (NIOO-KNAW), Droevendaalsesteeg 10, 6708 PB Wageningen, the Netherlands
| | - Bart A Nolet
- Department of Animal Ecology, Netherlands Institute of Ecology (NIOO-KNAW), Droevendaalsesteeg 10, 6708 PB Wageningen, the Netherlands.,Theoretical and Computational Ecology, Institute for Biodiversity and Ecosystem Dynamics, University of Amsterdam, Sciencepark 904, 1098 XH Amsterdam, the Netherlands
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7
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de Jong ME, Nicolaus M, Fokkema RW, Loonen MJJE. State dependence explains individual variation in nest defence behaviour in a long-lived bird. J Anim Ecol 2021; 90:809-819. [PMID: 33340107 PMCID: PMC8048547 DOI: 10.1111/1365-2656.13411] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2020] [Accepted: 11/24/2020] [Indexed: 11/29/2022]
Abstract
Parental care, such as nest or offspring defence, is crucial for offspring survival in many species. Yet, despite its obvious fitness benefits, the level of defence can consistently vary between individuals of the same species. One prominent adaptive explanation for consistent individual differences in behaviours involves state dependency: relatively stable differences in individual state should lead to the emergence of repeatable behavioural variation whereas changes in state should lead to a readjustment of behaviour. Therefore, empirical testing of adaptive state dependence requires longitudinal data where behaviour and state of individuals of the same population are repeatedly measured. Here, we test if variation in states predicts nest defence behaviour (a ‘risky’ behaviour) in a long‐lived species, the barnacle goose Branta leucopsis. Adaptive models have predicted that an individual's residual reproductive value or ‘asset’ is an important state variable underlying variation in risk‐taking behaviour. Hence, we investigate how nest defence varies as a function of time of the season and individual age, two state variables that can vary between and within individuals and determine asset. Repeated measures of nest defence towards a human intruder (flight initiation distance or FID) of females of known age were collected during 15 breeding seasons. Increasing values of FID represent increasing shyness. We found that females strongly and consistently differed in FID within‐ and between‐years. As predicted by theory, females adjusted their behaviour to state by decreasing their FID with season and age. Decomposing these population patterns into within‐ and between‐individual effects showed that the state‐dependent change in FID was driven by individual plasticity in FID and that bolder females were more plastic than shyer females. This study shows that nest defence behaviour differs consistently among individuals and is adjusted to individual state in a direction predicted by adaptive personality theory.
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Affiliation(s)
- Margje E de Jong
- Department of Behavioral and Cognitive Biology, University of Vienna, Vienna, Austria.,Arctic Centre, University of Groningen, Groningen, The Netherlands
| | - Marion Nicolaus
- Conservation Ecology Group, Groningen Institute for Evolutionary Life Science (GELIFES), University of Groningen, Groningen, The Netherlands
| | - Rienk W Fokkema
- Arctic Centre, University of Groningen, Groningen, The Netherlands
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8
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Anparasan L, Hobson KA. Tracing sources of carbon and hydrogen to stored lipids in migratory passerines using stable isotope (δ 13C, δ 2H) measurements. Oecologia 2021; 195:37-49. [PMID: 33389017 DOI: 10.1007/s00442-020-04827-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2020] [Accepted: 12/09/2020] [Indexed: 11/29/2022]
Abstract
Using measurements of naturally occurring stable isotopes in feathers to determine avian origin and migratory patterns is well established. However, isotopically determining nutritional origins of lipids, a major migratory fuel, has not been attempted. This study explores isotopic links between diet and stored lipids in captive white-throated sparrows (Zonotrichia albicollis) by providing isotopically distinct mixtures of carbohydrates/oils and drinking water and assessing the δ13C and δ2H values of stored lipid, breath CO2 (δ13C) and breath water vapour (δ2H). Stored lipid δ13C and δ2H values correlated with the isotopic values found in dietary carbohydrates/oils and drinking water treatments, respectively, indicating a clear traceable transfer of environmental dietary isotopic signals into body lipids. Dietary oils and carbohydrates contributed 80-82% of carbon and 44-46% of hydrogen, respectively, to stored lipids. Drinking water contributed 18-28% of hydrogen to stored lipids. Isotopic relationships were quantifiable using linear calibration algorithms which provide the basis for the construction of tissue isoscapes for migratory passerines. Breath CO2 δ13C values and breath water vapour δ2H values for fed and fasted birds reflected dietary sources. Breath CO2 δ13C values were higher for fasted birds than for fed birds by an average of 4.5‰ while breath water vapour δ2H values were lower for fasted birds by an average of 48.9‰. These results indicate that lipids and metabolites from their subsequent breakdown for fuel isotopically reflect dietary sources but complicate interpretation of such data, especially for wild migrating birds. Applications and limitations of these findings to the creation of "liposcapes" are examined.
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Affiliation(s)
- Libesha Anparasan
- Department of Biology, University of Western Ontario, 1151 Richmond St, London, ON, N6A 3K7, Canada.
| | - Keith A Hobson
- Department of Biology, University of Western Ontario, 1151 Richmond St, London, ON, N6A 3K7, Canada.,Environment and Climate Change Canada, Saskatoon, SK, S7N 3H5, Canada
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Doyle S, Gray A, McMahon BJ. Anthropogenic impacts on the demographics of Arctic-breeding birds. Polar Biol 2020. [DOI: 10.1007/s00300-020-02756-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
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