Cumulative human impacts on marine predators

Maxwell, Sara M.; Hazen, Elliott L.; Bograd, Steven J.; Halpern, Benjamin S.; Breed, Greg A.; Nickel, Barry; Teutschel, Nicole M.; Crowder, Larry B.; Benson, Scott R.; Dutton, Peter H.; Bailey, Helen; Kappes, Michelle A.; Kuhn, Carey E.; Weise, Michael; Mate, Bruce R.; Shaffer, Scott A.; Hassrick, Jason L.; Henry, Robert W.; Irvine, Ladd M.; McDonald, Birgitte I.; Robinson, Patrick W.; Block, Barbara A.; Costa, Daniel P.

doi:10.1038/ncomms3688

Cited by 236 publications

(243 citation statements)

References 52 publications

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“…Climate change may affect birds at different scales, for example by causing changes in their distribution, phenology, population dynamics and demographic traits. Together with habitat loss, pollution, and introduced predators and/or competitors, climate change is considered the major threat to the persistence of many avian populations (Møller et al 2004, Halpern et al 2007, Hoegh-Guldberg & Bruno 2010, Maxwell et al 2013. In this context, adaptation, phenotypic plasticity, and homeostasis are essential defences against extinction (Møller et al 2008) and may contribute to population robustness in response to climate change (Jenouvrier 2013), i.e.…”

Section: Seabirds and Environmental Variabilitymentioning

confidence: 99%

Forecasting ocean warming impacts on seabird demography: a case study on the European storm petrel

Soldatini

Albores‐Barajas

Massa

et al. 2016

Mar. Ecol. Prog. Ser.

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Bottom-up climatic forcing has been shown to be influential for a variety of marine taxa, but evidence on seabird populations is scarce. Seasonal variation in environmental conditions can have an indirect effect on subsequent reproduction, which, given the longevity and single-brooding of seabirds, may affect population dynamics. Our study focuses on linking the effect of oceanographic conditions (from 1991 to 2013) to the fecundity and consequently population growth rate of the Mediterranean subspecies of the European storm petrel Hydrobates pelagicus melitensis. In this study, we examined 23 yr of > 5400 capture-mark−recaptures (CMR) and modelled the probability of skipping reproduction as a function of oceanographic variables using CMR models. We demonstrate that a decrease in sea surface temperature in the pre-breeding period negatively influences skipping propensity, and therefore hypothesize that this behaviour would have significant influence on population abundance over time. For this reason, we analysed population growth as a function of skipping probability as affected by oceanographic conditions. We used stochastic demographic models to forecast the fate of the population, and evaluated contrasted environmental condition scenarios. As a result, we found that a decrease in frequency of cold winter events would probably reduce skipping propensity, with a positive effect on the population as a whole.

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Section: Seabirds and Environmental Variabilitymentioning

confidence: 99%

Forecasting ocean warming impacts on seabird demography: a case study on the European storm petrel

Soldatini

Albores‐Barajas

Massa

et al. 2016

Mar. Ecol. Prog. Ser.

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“…Given the varied duration of satellite tag transmissions, tracks were normalized and time weighted using a threshold scheme [49,50]. Briefly, each location estimate was weighted by the inverse number of individuals with locations on the same day of transmission.…”

Section: (B) Particle Simulationmentioning

confidence: 99%

Active dispersal in loggerhead sea turtles ( Caretta caretta ) during the ‘lost years’

et al. 2016

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Highly migratory marine species can travel long distances and across entire ocean basins to reach foraging and breeding grounds, yet gaps persist in our knowledge of oceanic dispersal and habitat use. This is especially true for sea turtles, whose complex life history and lengthy pelagic stage present unique conservation challenges. Few studies have explored how these young at-sea turtles navigate their environment, but advancements in satellite technology and numerical models have shown that active and passive movements are used in relation to open ocean features. Here, we provide the first study, to the best of our knowledge, to simultaneously combine a high-resolution physical forcing ocean circulation model with long-term multi-year tracking data of young, trans-oceanic North Pacific loggerhead sea turtles during their 'lost years' at sea. From 2010 to 2014, we compare simulated trajectories of passive transport with empirical data of 1-3 year old turtles released off Japan (29.7-37.5 straight carapace length cm). After several years, the at-sea distribution of simulated current-driven trajectories significantly differed from that of the observed turtle tracks. These results underscore current theories on active dispersal by young oceanic-stage sea turtles and give further weight to hypotheses of juvenile foraging strategies for this species. Such information can also provide critical geographical information for spatially explicit conservation approaches to this endangered population.

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“…Protecting long-lived, highly migratory marine species is challenging since they encounter multiple threats across broad areas and in different life stages Maxwell et al, 2013;Lascelles et al, 2014), often requiring multi-faceted and multi-national conservation efforts (Blumenthal et al, 2006;Gore et al, 2008;Maxwell et al, 2011;Croxall et al, 2012;Pikesley et al, 2013b;Doherty et al, 2017). Several studies have used satellite telemetry to describe the horizontal movement data of large marine vertebrates Block et al, 2011;Hawkes et al, 2011;Hazen et al, 2012;Yurkowski et al, 2016;Citta et al, 2017;Vaudo et al, 2017) and to determine overlap with anthropogenic threats such as fisheries (seabirds: Suryan et al, 2007;Bugoni et al, 2009;Žydelis et al, 2011;sea turtles: da Silva et al, 2011;Witt et al, 2011;Revuelta et al, 2015; marine mammals: Geschke and Chilvers, 2010;Rosenbaum et al, 2014;sharks: Holmes et al, 2014), shipping (marine mammals: Mate et al, 1997;Schorr et al, 2009), and in-water habitat degradation (seabirds: Montevecchi et al, 2012;marine mammals: Johnson and Tyack, 2003;Rosenbaum et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

“…Several studies have used satellite telemetry to describe the horizontal movement data of large marine vertebrates Block et al, 2011;Hawkes et al, 2011;Hazen et al, 2012;Yurkowski et al, 2016;Citta et al, 2017;Vaudo et al, 2017) and to determine overlap with anthropogenic threats such as fisheries (seabirds: Suryan et al, 2007;Bugoni et al, 2009;Žydelis et al, 2011;sea turtles: da Silva et al, 2011;Witt et al, 2011;Revuelta et al, 2015; marine mammals: Geschke and Chilvers, 2010;Rosenbaum et al, 2014;sharks: Holmes et al, 2014), shipping (marine mammals: Mate et al, 1997;Schorr et al, 2009), and in-water habitat degradation (seabirds: Montevecchi et al, 2012;marine mammals: Johnson and Tyack, 2003;Rosenbaum et al, 2014). Satellite telemetry has been critical in evaluating threat exposure for marine species (Witt et al, 2008;Maxwell et al, 2013;Lascelles et al, 2014) and assessing how efficient conservation boundaries, such as Marine Protected Areas (MPA), are at encompassing the wide ranging habitat distribution of migratory species (Hart et al, 2010;Scott et al, 2012;Young et al, 2015;Maxwell et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

Informing Marine Protected Area Designation and Management for Nesting Olive Ridley Sea Turtles Using Satellite Tracking

Dawson

Formia²,

Agamboué³

et al. 2017

Front. Mar. Sci.

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Understanding the horizontal and vertical habitat of olive ridley sea turtles (Lepidochelys olivacea), a threatened species, is critical for determining regions for protection and relevant gear modifications that may effectively reduce bycatch, the largest threat to this species. Satellite transmitters were used to determine the movement and dive behavior of 21 female olive ridley turtles tagged in Pongara National Park, Gabon during the 2012, 2013, and 2015 nesting seasons. A switching state-space model was used to filter the tracking data and categorize the internesting and post-nesting movements. Gridded utilization distribution (UD) home range analysis of tracking data revealed that the entire core habitat occurred in the Komo Estuary during the internesting period. Within the Komo Estuary, 58% of this core UD occurred in shipping lanes. Dive data from the 2015 tagging season revealed that during the internesting period, turtles spent the majority of their time resting on the estuary seabed. Approximately 20% of all dive time was spent on the bottom and all maximum dive depths corresponded to the depth of the seabed, indicating that bottom set gear during the internesting period may pose the greatest potential for fisheries interactions. National parks currently protect many of the nesting sites and the Gabon Bleu initiative has formally designated 10 new marine parks and a network of community and industrial fishing zones; this data was a layer used in determining the park and zone boundaries. Shared use of the estuary by fisheries, shipping, and olive ridley turtles creates a need for management measures to reduce interactions. Thus, the results from this study can further provide detailed information that can be used to support the development of evidence-based management plans.

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Cumulative human impacts on marine predators

Cited by 236 publications

References 52 publications

Forecasting ocean warming impacts on seabird demography: a case study on the European storm petrel

Forecasting ocean warming impacts on seabird demography: a case study on the European storm petrel

Active dispersal in loggerhead sea turtles ( Caretta caretta ) during the ‘lost years’

Informing Marine Protected Area Designation and Management for Nesting Olive Ridley Sea Turtles Using Satellite Tracking

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