Now showing items 1-2 of 2

    • Global patterns and predictions of seafloor biomass using random forests 

      Wei, Chih-Lin; Rowe, G.T.; Escobar-Briones, E.; Boetius, A.; Soltwedel, T.; Caley, M.J.; Soliman, Y.; Huettmann, F.; Qu, F.; Yu, Z.; Pitcher, C.R.; Haedrich, R.L.; Wicksten, M.K.; Rex, M.A.; Baguley, J.G.; Sharma, J.; Danovaro, R.; MacDonald, I.R.; Nunnally, C.C.; Deming, J.W.; Montagna, P.; Levesque, M.; Weslawsk, J.M.; Wlodarska-Kowalczuk, M.; Ingole, B.S.; Bett, B.J.; Billett, D.S.M.; Yool, A.; Bluhm, B.A.; Iken, K.; Narayanaswamy, B.E. (Public Library of Science, 2010)
      A comprehensive seafloor biomass and abundance database has been constructed from 24 oceanographic institutions worldwide within the Census of Marine Life (CoML) field projects. The machine-learning algorithm, Random ...
    • New perceptions of continrntal margin biodiversity 

      Menot, L.; Sibuet, M.; Carney, R.S.; Levin, L.A.; Rowe, G.T.; Billett, D.S.M.; Poore, G.; Kitazato, H.; Vanreusel, A.; Galeron, J.; Lavrado, H.P.; Sellanes, J.; Ingole, B.S.; Krylova, E. (Blackwell, 2010)
      The deep ocean is a hostile and challenging environment. Nowhere is this more apparent than on the continental slopes. The complexity of the slope and the unforgiving nature of the seabed has until recently limited the ...