18
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: not found
      • Article: not found

      Dynamic habitat models: using telemetry data to project fisheries bycatch

      Read this article at

      ScienceOpenPublisher
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Related collections

          Most cited references37

          • Record: found
          • Abstract: not found
          • Article: not found

          Photosynthetic rates derived from satellite-based chlorophyll concentration

            Bookmark
            • Record: found
            • Abstract: not found
            • Article: not found

            Are seabirds foraging for unpredictable resources?

              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Analyzing insect movement as a correlated random walk

              This paper develops a procedure for quantifying movement sequences in terms of move length and turning angle probability distributions. By assuming that movement is a correlated random walk, we derive a formula that relates expected square displacements to the number of consecutive moves. We show this displacement formula can be used to highlight the consequences of different searching behaviors (i.e. different probability distributions of turning angles or move lengths). Observations of Pieris rapae (cabbage white butterfly) flight and Battus philenor (pipe-vine swallowtail) crawling are analyzed as a correlated random walk. The formula that we derive aptly predicts that net displacements of ovipositing cabbage white butterflies. In other circumstances, however, net displacements are not well-described by our correlated random walk formula; in these examples movement must represent a more complicated process than a simple correlated random walk. We suggest that progress might be made by analyzing these more complicated cases in terms of higher order markov processes.
                Bookmark

                Author and article information

                Journal
                Proceedings of the Royal Society B: Biological Sciences
                Proceedings of the Royal Society B: Biological Sciences
                The Royal Society
                0962-8452
                1471-2954
                September 26 2011
                March 23 2011
                : 278
                : 1722
                : 3191-3200
                Article
                10.1098/rspb.2011.0330
                9c936d74-4273-4e30-b2ca-e4368cc27343
                © 2011
                History

                Comments

                Comment on this article