FN Archimer Export Format PT J TI Spatially explicit estimation of fish length histograms, with application to anchovy habitats in the Bay of Biscay BT AF PETITGAS, Pierre DORAY, Mathieu MASSE, Jacques GRELLIER, Patrick AS 1:1;2:1;3:1;4:1; FF 1:PDG-RBE-EMH;2:PDG-RBE-EMH;3:PDG-RBE-EMH;4:PDG-RBE-EMH; C1 IFREMER, Dept Ecol & Models Fisheries, F-44300 Nantes, France. C2 IFREMER, FRANCE SI NANTES SE PDG-RBE-EMH IN WOS Ifremer jusqu'en 2018 IF 2.007 TC 11 UR https://archimer.ifremer.fr/doc/00049/16042/13581.pdf LA English DT Article CR PEL 2000 PEL 2001 PELGAS 2002 PELGAS 2003 PELGAS 2004 PELGAS 2005 PELGAS 2006 PELGAS 2007 PELGAS 2008 PELGAS 2009 PELGAS 2010 BO Thalassa DE ;co-kriging;European anchovy;fish length;functional kriging;habitat;mapping curves AB Fish length frequency histograms from research surveys are of prime importance for identifying habitats of different life stages, as well as for stock assessment. However, no method has thus far been available for mapping these histograms as spatially varying curves. Here, a procedure is applied to map spatially connected curves, and detail is given on how it can be applied to map the length frequency histograms. At each sample location, a fish length frequency histogram is given as a vector of non-independent values. The histogram is first modelled as a polynomial expansion on the basis of orthogonal polynomials. Then, the polynomial coefficients are mapped by co-kriging, after fitting a model of co-regionalization. The length frequency map is finally derived by linearly combining maps of polynomial coefficients. An estimation variance associated with the map is also derived. Maps of anchovy length distributions are produced by applying the method to midwater trawl length data from the PELGAS acoustic surveys in the Bay of Biscay. This novel approach extends the application of kriging techniques to curves or functions, opening new perspectives for mapping more complex information than just the values of fish density. PY 2011 PD NOV SO Ices Journal Of Marine Science SN 1054-3139 PU Oxford Univ Press VL 68 IS 10 UT 000295985500012 BP 2086 EP 2095 DI 10.1093/icesjms/fsr139 ID 16042 ER EF