FN Archimer Export Format
PT J
TI "Too Big To Ignore": A feasibility analysis of detecting fishing events in Gabonese small-scale fisheries
BT 
AF Cardiec, Floriane
   Bertrand, Sophie
   Witt, Matthew J.
   Metcalfe, Kristian
   Godley, Brendan J.
   McClellan, Catherine
   Vilela, Raul
   Parnell, Richard J.
   LE LOCH, Francois
AS 1:1,2;2:3;3:4;4:5;5:5;6:6;7:2;8:2;9:1;
FF 1:;2:;3:;4:;5:;6:;7:;8:;9:;
C1 IRD, Univ Brest, CNRS, Ifremer, LEMAR, Plouzané, France
   Wildlife Conservation Society, Gabon Program, Libreville, Gabon
   IRD, UMR Marbec, Univ Montpelier, CNRS, Ifremer, Sète, France
   Hatherly Laboratories, College of Life and Environmental Sciences, University of Exeter, Exeter, United Kingdom
   Centre for Ecology & Conservation, College of Life and Environmental Sciences, University of Exeter, Penryn Campus, Penryn, United Kingdom
   ONG Manga, Akanda, Gabon
C2 IRD, FRANCE
   WILDLIFE CONSERVATION SOCIETY, GABON
   IRD, FRANCE
   UNIV EXETER, UK
   UNIV EXETER, UK
   ONG MANGA, GABON
UM LEMAR
   MARBEC
IN WOS Cotutelle UMR
   DOAJ
   copubli-europe
   copubli-int-hors-europe
   copubli-sud
IF 3.24
TC 13
UR https://archimer.ifremer.fr/doc/00633/74526/74363.pdf
   https://archimer.ifremer.fr/doc/00633/74526/74364.pdf
LA English
DT Article
AB In many developing countries, small-scale fisheries provide employment and important food security for local populations. To support resource management, the description of the spatiotemporal extent of fisheries is necessary, but often poorly understood due to the diffuse nature of effort, operated from numerous small wooden vessels. Here, in Gabon, Central Africa, we applied Hidden Markov Models to detect fishing patterns in seven different fisheries (with different gears) from GPS data. Models were compared to information collected by on-board observers (7 trips) and, at a larger scale, to a visual interpretation method (99 trips). Models utilizing different sampling resolutions of GPS acquisition were also tested. Model prediction accuracy was high with GPS data sampling rates up to three minutes apart. The minor loss of accuracy linked to model classification is largely compensated by the savings in time required for analysis, especially in a context of nations or organizations with limited resources. This method could be applied to larger datasets at a national or international scale to identify and more adequately manage fishing effort. 
PY 2020
PD JUL
SO Plos One
SN 1932-6203
PU Public Library of Science (PLoS)
VL 15
IS 6
UT 000542969500001
DI 10.1371/journal.pone.0234091
ID 74526
ER

EF