Inter‐annual variability in the breeding performance of seabirds in relation to oceanographic anomalies that affect the Crozet and the Kerguelen sectors of the Southern Ocean

Inchausti, Pablo; Guinet, Christophe; Koudil, Malik; Durbec, Jean-Pierre; Barbraud, Christophe; Weimerskirch, Henri; Cherel, Yves; Jouventin, Pierre

doi:10.1034/j.1600-048x.2003.03031.x

Cited by 85 publications

(71 citation statements)

References 27 publications

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“…Interannual changes in prey distribution or availability may also cause foraging-trip distance to vary (Boyd et al 1994, Sydeman et al 2001, Inchausti et al 2003. Longer foraging trips in years of low prey availability may cause increased investment in reproduction by adults (Boyd et al 1994) and decreases in offspring growth rates (Davoren & Montevecchi 2003, Pinaud et al 2005) and reproductive success (Inchausti et al 2003).…”

Section: Introductionmentioning

confidence: 99%

“…Longer foraging trips in years of low prey availability may cause increased investment in reproduction by adults (Boyd et al 1994) and decreases in offspring growth rates (Davoren & Montevecchi 2003, Pinaud et al 2005) and reproductive success (Inchausti et al 2003). Climate fluctuations may affect species differently, depending on prey and foraging strategies (Kitaysky et al 2000).…”

Section: Introductionmentioning

confidence: 99%

“…Foraging locations at sea, particularly distance to food, influence offspring feeding frequency (Pinaud et al 2005), reproductive success (Inchausti et al 2003), and adult energy balance (Shaffer et al 2003). How central-place foragers use the ocean affects not only their breeding parameters, but also their conservation, because of increasing conflicts between human activities and wildlife (Boersma 2008).…”

Section: Introductionmentioning

confidence: 99%

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Foraging distance affects reproductive success in Magellanic penguins

Boersma¹,

Rebstock²

2009

Mar. Ecol. Prog. Ser.

101

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Foraging distance affects reproductive success and other demographic parameters in seabirds and pinnipeds. We tracked breeding Magellanic penguins Spheniscus magellanicus at Punta Tombo, Argentina using satellite transmitters from 1996 to 2006 (n = 148 males, 57 females) to investigate the variability in foraging distance and its effects on reproductive success. The time a penguin was away from its nest predicted the distance it swam during all stages of the breeding season (p < 0.005); this relationship was linear during incubation and nonlinear during chick rearing. During incubation, penguins went 1.0 km farther from the colony for every additional hour they were away from the nest, and the distance penguins traveled predicted the mean colony reproductive success. When chicks were > 30 d old, the probability of fledging 2 chicks was highest when penguins went less than 70 km from their nests. Penguins that went between 70 and 180 km from their nests were most likely to raise one chick, and the probability of losing both chicks increased with trip distance. Females and males made trips of similar distance. Foraging-trip distance varied within breeding season (p < 0.005). Penguins went farthest during incubation (411 ± 11.8 km), and stayed closest (61 ± 3.9 km) when chicks were < 30 d old, requiring parents to guard them. When chicks were older, adults traveled 111 ± 5.0 km. Mean foraging-trip distance varied among years (p < 0.005) by factors of 1.5 to 1.8, and trips by an individual penguin varied by a factor of 22.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Foraging distance affects reproductive success in Magellanic penguins

Boersma¹,

Rebstock²

2009

Mar. Ecol. Prog. Ser.

101

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“…Even if inter-annual breeding success has been related to environmental variables in numerous seabird species (e.g., Croxall et al 2002, Pinaud and Weimerskirch 2002, Inchausti et al 2003, Frederiksen et al 2005, surprisingly, little infor- v www.esajournals.org mation is available on the dynamics and mechanisms of breeding failure within breeding seasons (but see Lewis et al 2001). On Hornøya in 2011, the dynamics of kittiwake breeding failure over a single breeding season was accurately described as a non-linear trend characterized by a decisive break point after which the proportion of successful pairs abruptly dropped.…”

Section: Discussionmentioning

confidence: 99%

When things go wrong: intra‐season dynamics of breeding failure in a seabird

Ponchon

Grémillet

Christensen‐Dalsgaard

et al. 2014

Ecosphere

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T. Tveraa, and T. Boulinier. 2014. When things go wrong: intra-season dynamics of breeding failure in a seabird. Ecosphere 5(1):4. http://dx.doi.org/10.1890/ES13-00233.1Abstract. During breeding, long-lived species face important time and energy constraints that can lead to breeding failure when food becomes scarce. Despite the potential implications of intra-season dynamics in breeding failure for individual behavior, carry-over effects, dispersal decisions and population dynamics, little information is currently available on these dynamics at fine temporal scales. Here, we monitored the foraging behavior and the proportion of successful black-legged kittiwake pairs from nest construction to chick fledging in a colony of the southern Barents Sea, to relate foraging effort to the dynamics of breeding failure over an entire breeding season, and to infer the environmental conditions leading to this failure. Specifically, we tracked kittiwakes with GPS and satellite tags during incubation and early chick-rearing to document nest attendance, foraging range, time budgets and daily energy expenditures (DEE). We also monitored diet changes over time. We predicted that breeding failure would follow a non-linear trend characterized by a break point after which breeding success would drop abruptly and would be related to a substantial increase in foraging effort. Kittiwakes showed contrasting foraging patterns between incubation and chick-rearing: they extended their foraging range from 20 km during incubation to more than 450 km during chick-rearing and switched diet. They also increased their DEE and readjusted their time budgets by increasing time spent at sea. These changes corresponded to a break point in breeding dynamics beyond which the proportion of successful pairs abruptly dropped. At the end of the season, less than 10% of kittiwake pairs raised chicks in the monitored plots. This integrative study confirms that breeding failure is a non-linear process characterized by a threshold beyond which individuals face an energetic trade-off and cannot simultaneously sustain high reproductive and selfmaintenance efforts. In this way, the occurrence of sudden environmental changes complicates our ability to predict population dynamics and poses conservation challenges.

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“…This study focuses on marine birds because these numerous and conspicuous predators respond to spatial and temporal oceanographic variability across the southern Indian Ocean (Pocklington, 1979;Stahl et al, 1985;Inchausti et al, 2003;Pinaud et al, 2005). We hypothesized that the marine avifauna of the Southern Indian Ocean is structured by the large-scale latitudinal gradients in hydrographic properties and ocean productivity patterns described above.…”

Section: Introductionmentioning

confidence: 99%

Community structure across a large-scale ocean productivity gradient: Marine bird assemblages of the Southern Indian Ocean

Hyrenbach

Veit

Weimerskirch

et al. 2007

Deep Sea Research Part I: Oceanographic Research Papers

Self Cite

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International audienceOur objective was to understand how marine birds respond to oceanographic variability across the Southern Indian Ocean using data collected during an 16-day cruise (4-21 January 2003). We quantified concurrent water mass distributions, ocean productivity patterns, and seabird distributions across a heterogeneous pelagic ecosystem from subtropical to sub-Antarctic waters. We surveyed 5155km and sighted 15,606 birds from 51 species, and used these data to investigate how seabirds respond to spatial variability in the structure and productivity of the ocean. We addressed two spatial scales: the structure of seabird communities across macro-mega scale (1000 s km) biogeographic domains, and their coarse-scale (10 s km) aggregation at hydrographic and bathymetric gradients. Both seabird density and species composition changed with latitudinal and onshore-offshore gradients in depth, water temperature, and chlorophyll-a concentration. The average seabird density increased across the subtropical convergence (STC) from 2.4 birdskm² in subtropical waters to 23.8 birdskm² in sub-Antarctic waters. The composition of the avifauna also differed across biogeographic domains. Prions (Pachyptila spp.) accounted for 57% of all sub-Antarctic birds, wedge-tailed shearwaters (Puffinus pacificus) accounted for 46% of all subtropical birds, and Indian Ocean yellow-nosed albatross (Thallasarche carteri) accounted for 32% of all birds in the STC. While surface feeders were the most abundant foraging guild across the study area, divers were disproportionately more numerous in the sub-Antarctic domain, and plungers were disproportionately more abundant in subtropical waters. Seabird densities were also higher within shallow shelf-slope regions, especially in sub-Antarctic waters, where large numbers of breeding seabirds concentrated. However, we did not find elevated seabird densities along the STC, suggesting that this broad frontal region is not a site of enhanced aggregation

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Inter‐annual variability in the breeding performance of seabirds in relation to oceanographic anomalies that affect the Crozet and the Kerguelen sectors of the Southern Ocean

Cited by 85 publications

References 27 publications

Foraging distance affects reproductive success in Magellanic penguins

Foraging distance affects reproductive success in Magellanic penguins

When things go wrong: intra‐season dynamics of breeding failure in a seabird

Community structure across a large-scale ocean productivity gradient: Marine bird assemblages of the Southern Indian Ocean

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