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Ocean's Eleven is a American heist film directed by Steven Soderbergh and written by Ocean's Eleven. From Wikipedia, the free encyclopedia. Jump to navigation Jump to search. This article is about the film. For the film, see Ocean's


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Ocean's Eleven [1960 / Official Trailer / english]

To obtain the best experience, we recommend you use a more up to date browser or turn off compatibility mode in Internet Explorer. Based on these models, we mapped the predicted distribution of animals from both sampled and unsampled colonies and thereby identified areas where multiple species were likely to overlap at sea. Bathymetry was retained in all models except those for king penguins Aptenodytes patagonicus Table 2. The exceptions were southern elephant seal foraging trips, which were associated with the Patagonian shelf slope, and rockhopper penguins, which travelled beyond the Patagonian Shelf during incubation. Combined species plots of A cumulative probability of occurrence B overlap in probability of occurrence between groups see Table 2 and Figs 2 and 3 for details of predictive models and for seabirds and pinnipeds separately. The Patagonian Shelf around the Falkland Islands and the Burdwood Bank had the highest areas of overlap in probability of occurrence and therefore, the highest predicted diversity Fig. Of the seven candidate explanatory covariates used to predict distribution, distance from the colony was retained in models for all species and negatively affected the probability of occurrence. Blue shading in the Argentinean Exclusive Economic Zone. Seabird predicted habitat use probability of occurrence, proportional to the likelihood of absences at the Falkland Islands and available biotelemetry and biologging data blue line. Recognising its importance to biodiversity and regional economies, the Patagonian Shelf LME was the focus of a pioneering review of marine research and management The at-sea distribution of marine predators on the Patagonian Shelf has also received considerable attention and several studies have collated tracking datasets 21 , Nevertheless, early studies are heavily biased by the spatial usage of relatively few individuals, and until recently, limited tracking data were available for the Falkland Islands. However, it is typically too costly to undertake simultaneous tag deployments on multiple species from multiple colonies. Maps were created using R v3. Crucially, our findings highlight that spatially explicit conservation measures are likely to benefit multiple species, while threats are likely to impact multiple species. We do not know the degree to which inter-annual oceanographic variability influenced the at-sea spatial usage of our study species. In turn, this information can be used to predict the distribution of species more broadly, including from unsampled colonies 37 , In particular, Species Distribution Models SDMs can be used to quantify the dependence of space use on habitat described by environmental variables and accessibility. The Patagonian Shelf Large Marine Ecosystem supports high levels of biodiversity and endemism and is one of the most productive marine ecosystems in the world. Darker colours represent a higher number of overlapping utilization distributions. Black-browed albatross and Magellanic penguins had the most extensive predicted distribution, while the predicted distribution of chick rearing gentoo penguins and southern sea lions were comparatively small Figs 2 , 3. Refer to Table 1 for details of the 13 groups for which utilization distributions are presented. In total, our dataset comprised locations from 1, foraging trips made by animals Table 1. Marine predators play important and diverse ecological roles in LMEs 5 , 6. Similar results were obtained when weighting the predictive outputs by colony size Fig. See Supplementary Material Fig S3 for species predictions weighted by colony. For example, although the area to the east of the Burdwood Bank is highlighted as important habitat for migratory marine predators 21 , 41 , our predictive models highlighted the Burdwood Bank itself, which is known for its benthic biodiversity 42 , was also important habitat for marine predators breeding at the Falkland Islands. Our findings extend that of a recent study that identified coastal waters around the Falkland Islands as important habitat for a suite of 36 seabird and pinniped species The large areas of shared spatial usage that we report, to some degree reflects the almost ubiquitous distribution of breeding colonies around the Falkland Islands for several study species, combined with long-distance movements of most study species. Given we used cross-validation and ROC curves, which are robust to violation of model assumptions, rather than likelihood ratio tests, we considered Generalized Additive Models GAMs to be a pragmatic and flexible modelling approach, suitable for our study aims that entailed predicting distributions, rather than hypothesis testing 10 , 37 , Furthermore, given our approach is relatively simple, it is accessible and easy to include more data as it becomes available, making it a potentially useful management tool when there is a need to combine ad-hoc tracking data. For example, seabirds and pinnipeds recycle and redistribute nutrients over large spatial scales, exert top-down control through predation and track the distribution of their prey 5 , 7 , 8. However, most of the 1, foraging trips by animals were restricted to the Patagonian Shelf and shelf slope, which highlighted a preference for these habitats. Moreover, specificity range 0. Hence, highlighting shared patterns in the spatial distribution of marine predators can identify ecologically significant areas that facilitates the conservation and management of not only marine predators, but also the wider ecosystem 11 , Advances in animal-borne tracking technology make this ever more practicable, enabling unprecedented insights into the space-use, foraging behavior and habitat preference of wide-ranging marine predators Although an explosion of movement ecology studies have facilitated the development of tracking datasets, integrated datasets from species and populations that exploit a range of habitats and ecosystem components e. This is a critical knowledge gap because, due to its proximity to the highly productive shelf edge and its many predator-free islands, the Falkland Islands are one of the most important locations on the Patagonian Shelf for colonial breeding marine predators. Foraging trips were, however, predominantly confined to the Patagonian Shelf and the Burdwood Bank Fig. They are, however, also hotspots of biodiversity loss and accelerated warming due to climate change 3 , 4. By modelling habitat selection as functions of colony distance, intra-specific competition and environmental indices, we predicted the at-sea distribution of animals from both sampled and unsampled colonies. Our findings provide comprehensive multi-species predictions for some of the largest marine predator populations on the Patagonian Shelf, which will contribute to future marine spatial planning initiatives. SDMs are increasingly being used to predict the distribution of animals around colonies that lack tracking data, using models fitted to data for observed colonies, and taking into account habitat accessibility and competition between animals from neighboring colonies 26 , 33 , Here, we aim to identify areas of high marine predator space use and diversity, which is an essential step in the management of dynamic marine ecosystems. Moreover, marine predators often congregate in multi-species foraging aggregations, presumably a reflection of the spatiotemporal patchiness of their prey and perhaps the result of a higher incidence of generalism among marine predators compared to their terrestrial equivalents 9 , Consequently, localized threats are likely to impact multiple species, whilst spatially explicit conservation measures are likely to benefit multiple species. Individual species plots weighted by colony size are presented in Supplementary Material Fig S5. Although our predictive models generally performed well and our study improves knowledge of marine predator distribution on the Patagonian Shelf, caveats and constraints exist both with our modelling approach and the data available. The highest overlap of core areas, both among species and groups, was the Patagonian Shelf to the north of the Falkland Islands Fig. Ultimately, it would be ideal to track species at the same time, stratifying data collection across colonies within species, such that good geographical coverage was achieved, with more data collected from larger colonies. Plots of A cumulative probability of occurrence B overlap in probability of occurrence. Large marine ecosystems LMEs are ecologically defined boundaries around the margins of continents that provide practical frameworks for ecosystem-based management at regional scales 1. Given the diverse foraging guilds and foraging modes represented by these nine species, we expected that much of the area around the Falkland Islands would be used by at least some species. In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript. Despite the important role marine predators play in structuring ecosystems, areas of high diversity where multiple predators congregate remains poorly known on the Patagonian Shelf. Given the preference for Patagonian Shelf waters around the Falkland Islands, it is unsurprising that distance and bathymetry were important explanatory covariates shared between species.{/INSERTKEYS}{/PARAGRAPH} However, including these terms has so far proved impracticable in studies that have analyzed datasets of similar size due to computational constraints and lack of convergence 10 , 37 , Even using parallel processing on multiple computers, Wakefield et al. Limitations notwithstanding, our results clearly demonstrated that the entire shelf area around the Falkland Islands, the Patagonian shelf slope and the Burdwood Bank, are important habitat for marine predators breeding at the Falkland Islands. You are using a browser version with limited support for CSS. Given data collection was opportunistic rather than systematic, inconsistencies in the temporal coverage of data between species could obscure potentially important shared areas of use. We analysed the most comprehensive tracking dataset compiled to date for wide-ranging marine predators breeding at the Falkland Islands. For example, the Falkland Islands are home to three quarters of the global population of black-browed albatross Thalassarche melanophris , half of the global population of thin-billed prions Pachyptila belcheri , half of the Atlantic population of South American fur seals Arctocephalus australis , and one third of the global population of southern rockhopper penguins Eudyptes chrysocome and gentoo penguins Pygoscelis papua 23 , 24 , 25 , 26 , Despite the global significance of seabird and pinniped populations at the Falkland Islands, our understanding of shared patterns in their at-sea distribution is poor, recent advances notwithstanding Indeed, the movement ecology of many conspicuous species breeding at the Falkland Islands have only relatively recently been studied and the largest breeding colonies only recently tracked 28 , 29 , 30 , 31 , There is now an unprecedented opportunity to complement studies that have focussed on migration and individuals of unknown provenance 12 , 21 , and to quantify shared patterns in the at-sea distribution of colonial breeding marine predators at the Falkland Islands. Predicted overlap among species was highest on the Patagonian Shelf around the Falkland Islands and the Burdwood Bank. Area Under the curve AUC scores ranged from 0. Bayesian methods such as integrated nested Laplace approximations INLA may soon make it possible to model spatiotemporal autocorrelation in such datasets, but at present such methods are not accessible to non-specialists. The predicted distribution of all species and groups, except rockhopper penguins during incubation, were concentrated on the Patagonian Shelf or shelf slope Figs 2 , 3. The predicted area of overlap is consistent with areas that are also important habitat for marine predators migrating from distant breeding locations. We also shed new light on the general ecology of our study species. Of the seven candidate explanatory covariates considered, distance from the colony was retained in all models, capturing a negative relationship with space use Table 2. Pinniped predicted habitat use probability of occurrence, proportional to the likelihood of absences at the Falkland Islands and available biotelemetry and biologging data blue line. Understanding the distribution of these taxa can therefore provide insights into processes that influence ecosystem structure and function that could otherwise be difficult to observe at regional scales. Models for species that travelled extended distances typically included dynamic environmental variables, in particular sea surface temperate. In turn, this allowed us to identify not only high use areas for individual species but also areas likely to be used by multiple species. Furthermore, despite differences between species in foraging trip distance, dietary niches, foraging mode e. Here, we used biotelemetry and biologging tags to track the movements of six seabird species and three pinniped species breeding at the Falkland Islands. As in Fig. Our results therefore extend previous studies of marine predator distribution on the Patagonian Shelf that focus on migration or animals of unknown provenance and breeding status, and provide unprecedented insights into the distribution of colonial breeding marine predators on the Patagonian Shelf 11 , 12 , 19 , In particular, we provide novel insights into important areas on the Patagonian Shelf that transcend national boundaries and provide a more complete understanding of the distribution and co-occurrence of colonial breeding marine predators. In addition to model limitations, data were collected over different years, and for some species and some breeding colonies, the available tracking data were unlikely to fully represent core areas used based on our representativeness analysis. The preference for shelf and slope waters is unsurprising given the Patagonian Shelf around the Falkland Islands is highly productive and is important habitat for marine predators migrating from distant breeding locations, such as South Georgia and New Zealand 19 , 41 , For example, the diet of albatrosses, petrels, pinnipeds, and penguins breeding at the Falkland Islands includes notothenid fish, ommastrephid squid, Falkland herring Sprattus fuegensis and lobster krill Munida gregaria 43 , 53 , 54 , 55 , The biomass of these species are typically an order of magnitude higher in neritic compared to oceanic waters, and the highest density of commercial fin-fish and squid catches also occurs on the Patagonian Shelf and slope 57 , 58 , Hence, the areas of overlap and high diversity that we identified are likely to represent high levels of marine predator and prey abundance and biodiversity for not only the species that were tracked, but for species such as gulls, cormorants and petrels, which were not tracked. To do so, we collated and modelled biotelemetry and biologging data for nine species of colonial breeding marine predators tracked from 21 breeding colonies at the Falkland Islands and predicted spatial usage for unsampled colonies. A Nature Research Journal. Finally, colony differences in habitat use are widely reported among marine predators, including those breeding at the Falkland Islands 29 , 35 , 46 , Spatial and temporal extrapolation are unavoidable and we cannot discount that within-species variability in foraging behaviour or habitat availability across relatively small spatial scales tens to hundreds of km , could lead to poor model transferability 31 , 48 , Alternatively, model averages applied across a wide variety of habitats could lead to estimation bias While it would be useful for future studies to compare other modelling approaches, the spatial extent of the combined probability of occurrence, and the fact that distance was the most important variable in most models, implies that the species for which models were developed are broadly representative of the at-sea distribution of colonial breeding marine predators at the Falkland Islands. Given that many species selectively use habitats, habitat preference selection relative to availability can be defined by environmental variables, such as bathymetry and sea surface temperature SST , which may provide useful proxies of resource availability 10 , In addition to habitat preference, colony location and density-dependent competition influence the at-sea distribution of colonial breeding marine predators 26 , 29 , 34 , For example, mutually exclusive colony specific foraging areas are common among colonial breeding marine predators in-part because the cost of foraging increases as a function of distance 34 , 36 , 37 , Accordingly, quantifying environmental and density-dependent factors will help to identify the drivers of spatial usage. {PARAGRAPH}{INSERTKEYS}Thank you for visiting nature. In contrast, for species that predominantly foraged near-shore, such as chick-rearing gentoo penguins, dynamic environmental variables were not retained in models.