Search

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 ...

The contribution of deep-sea macrohabitat heterogeneity to global nematode diversity

Vanreusel, A.; Fonseca, G.; Danovaro, R.; DaSilva, M.C.; Esteves, A.M.; Ferrero, T.; Gad, G.; Galtsova, V.; Gambi, C.; Genevois, V.F.; Ingels, J.; Ingole, B.S.; Lampadariou, N.; Merckx, B.; Miljutina, M.; Muthumbi, A.; Netto, S.; Portnova, D.; Radziejewska, T.; Raes, M.; Tchesunov, A.; Vanaverbeke, J.; Van Gaever, S.; Venekey, V.; Bezerra, T.N.; Flint, H.; Copley, J.; Pape, E.; Zeppilli, D.; Martinez, P.A.; Galeron, J. (Blackwell Verlag GmbH, 2010)

The great variety of geological and hydrological conditions in the deep sea generates many different habitats. Some are only recently explored, although their true extent and geographical coverage are still not fully ...

Search

Filters

Global patterns and predictions of seafloor biomass using random forests

The contribution of deep-sea macrohabitat heterogeneity to global nematode diversity