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  • 1
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    Scaling laws of marine predator search behaviour (2008)
    Nature Publishing Group (NPG)
    Details
    Publication Date: 2008-02-29
    Description: Many free-ranging predators have to make foraging decisions with little, if any, knowledge of present resource distribution and availability. The optimal search strategy they should use to maximize encounter rates with prey in heterogeneous natural environments remains a largely unresolved issue in ecology. Levy walks are specialized random walks giving rise to fractal movement trajectories that may represent an optimal solution for searching complex landscapes. However, the adaptive significance of this putative strategy in response to natural prey distributions remains untested. Here we analyse over a million movement displacements recorded from animal-attached electronic tags to show that diverse marine predators-sharks, bony fishes, sea turtles and penguins-exhibit Levy-walk-like behaviour close to a theoretical optimum. Prey density distributions also display Levy-like fractal patterns, suggesting response movements by predators to prey distributions. Simulations show that predators have higher encounter rates when adopting Levy-type foraging in natural-like prey fields compared with purely random landscapes. This is consistent with the hypothesis that observed search patterns are adapted to observed statistical patterns of the landscape. This may explain why Levy-like behaviour seems to be widespread among diverse organisms, from microbes to humans, as a 'rule' that evolved in response to patchy resource distributions.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Sims, David W -- Southall, Emily J -- Humphries, Nicolas E -- Hays, Graeme C -- Bradshaw, Corey J A -- Pitchford, Jonathan W -- James, Alex -- Ahmed, Mohammed Z -- Brierley, Andrew S -- Hindell, Mark A -- Morritt, David -- Musyl, Michael K -- Righton, David -- Shepard, Emily L C -- Wearmouth, Victoria J -- Wilson, Rory P -- Witt, Matthew J -- Metcalfe, Julian D -- England -- Nature. 2008 Feb 28;451(7182):1098-102. doi: 10.1038/nature06518.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Marine Biological Association of the United Kingdom, The Laboratory, Citadel Hill, Plymouth PL1 2PB, UK. dws@mba.ac.uk〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/18305542" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; *Ecosystem ; Euphausiacea ; *Feeding Behavior ; Fractals ; Gadiformes ; *Marine Biology ; *Models, Biological ; *Motor Activity ; Oceans and Seas ; Population Density ; *Predatory Behavior ; Probability ; Seals, Earless ; Sharks ; Spheniscidae ; Tuna ; Turtles
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
    Published by Nature Publishing Group (NPG)
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  • 2
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    A phylogenomic study of birds reveals their evolutionary history (2008)
    American Association for the Advancement of Science (AAAS)
    Details
    Publication Date: 2008-06-28
    Description: Deep avian evolutionary relationships have been difficult to resolve as a result of a putative explosive radiation. Our study examined approximately 32 kilobases of aligned nuclear DNA sequences from 19 independent loci for 169 species, representing all major extant groups, and recovered a robust phylogeny from a genome-wide signal supported by multiple analytical methods. We documented well-supported, previously unrecognized interordinal relationships (such as a sister relationship between passerines and parrots) and corroborated previously contentious groupings (such as flamingos and grebes). Our conclusions challenge current classifications and alter our understanding of trait evolution; for example, some diurnal birds evolved from nocturnal ancestors. Our results provide a valuable resource for phylogenetic and comparative studies in birds.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Hackett, Shannon J -- Kimball, Rebecca T -- Reddy, Sushma -- Bowie, Rauri C K -- Braun, Edward L -- Braun, Michael J -- Chojnowski, Jena L -- Cox, W Andrew -- Han, Kin-Lan -- Harshman, John -- Huddleston, Christopher J -- Marks, Ben D -- Miglia, Kathleen J -- Moore, William S -- Sheldon, Frederick H -- Steadman, David W -- Witt, Christopher C -- Yuri, Tamaki -- New York, N.Y. -- Science. 2008 Jun 27;320(5884):1763-8. doi: 10.1126/science.1157704.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Zoology Department, Field Museum of Natural History, 1400 South Lake Shore Drive, Chicago, IL 60605, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/18583609" target="_blank"〉PubMed〈/a〉
    Keywords: Algorithms ; Animals ; Biological Evolution ; Birds/*classification/*genetics ; Ecosystem ; Flight, Animal ; *Genome ; *Genomics ; Molecular Sequence Data ; *Phylogeny ; Sequence Alignment ; Sequence Analysis, DNA
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
    Published by American Association for the Advancement of Science (AAAS)
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