FN Archimer Export Format
PT J
TI Estimating fishing effort from highly resolved geospatial data: Focusing on passive gears
BT 
AF Mendo, T.
   Glemarec, G.
   Mendo, J.
   Hjorleifsson, E.
   Smout, S.
   Northridge, S.
   Rodriguez, Julien
   Mujal-Colilles, A.
   James, M.
AS 1:1;2:2;3:3;4:4;5:5;6:5;7:6;8:7;9:5;
FF 1:;2:;3:;4:;5:;6:;7:PDG-RBE-HISSEO;8:;9:;
C1 School of Geography and Sustainable Development, University of St. Andrews KY16 9AL, St. Andrews, UK
   National Institute of Aquatic Resources, Technical University of Denmark, 2800 Lyngby, Denmark
   Facultad de Pesquería, Universidad Nacional Agraria La Molina, Av. La Molina s/n, Lima, Peru
   Marine and Freshwater Research Institute, Fornubúðum 5, 220 Hafnarfjörður, Iceland
   Scottish Oceans Institute, University of St Andrews, East Sands, Fife KY16 LB, UK
   IFREMER, HISSEO, Centre de Bretagne, 29280 Plouzané, France
   Barcelona School of Nautical Studies, Universitat Politècnica de Catalunya, 08003 Barcelona, Catalunya, Spain
C2 UNIV ST ANDREWS, UK
   UNIV TECH DENMARK (DTU AQUA), DENMARK
   UNIV NACL AGR LA MOLINA, PERU
   MFRI, ICELAND
   UNIV ST ANDREWS, UK
   IFREMER, FRANCE
   UNIV POLITECN CATALUNA, SPAIN
SI BREST
SE PDG-RBE-HISSEO
IN WOS Ifremer UPR
   DOAJ
   copubli-europe
   copubli-int-hors-europe
   copubli-sud
IF 6.9
TC 2
UR https://archimer.ifremer.fr/doc/00850/96216/104356.pdf
   https://archimer.ifremer.fr/doc/00850/96216/104357.pdf
   https://archimer.ifremer.fr/doc/00850/96216/104358.docx
   https://archimer.ifremer.fr/doc/00850/96216/104359.pdf
   https://archimer.ifremer.fr/doc/00850/96216/104360.pdf
   https://archimer.ifremer.fr/doc/00850/96216/104361.txt
   https://archimer.ifremer.fr/doc/00850/96216/104362.txt
LA English
DT Article
DE ;Vessel tracking;Static gears;Electronic reporting;Spatial analysis;Small-scale fisheries
AB Increasing competition for marine space requires the appropriate development of indicators to best represent the use of marine areas and the value (whether economic, social and/or cultural) derived from such use. Fishers (the largest group of users) are often under-represented in marine spatial planning processes. Highly-resolved vessel tracking data provide opportunities to map the activities of fishing vessels at a level of detail never before available. Most effort mapping methods have focused on active gears such as trawls or dredges in large scale fisheries. For these fisheries, the time spent fishing at sea (hours) is usually a representative indicator of fishing effort, enabling a straightforward mapping of the most important fishing grounds. However, for passive gears generally used in small-scale fisheries, we show that spatial indicators of effort (here, length of vessel track) greatly outperform time-at-sea as an indicator of fishing effort. We further demonstrate and validate a method to estimate gear soak time from vessel tracking data and show how maps of effort that account for soak time can be different from those solely based on time spent fishing at sea. The development of adequate methods to quantify the spatial distribution of passive gear effort is particularly relevant to fisheries management because globally about a fifth of all catches (by weight) are landed by passive gears. Appropriate, fine scale effort maps will provide better tools for spatial planning to support sustainable fishing.   
PY 2023
PD OCT
SO Ecological Indicators
SN 1470-160X
PU Elsevier BV
VL 154
UT 001069131300001
DI 10.1016/j.ecolind.2023.110822
ID 96216
ER

EF