@article{Levontin:2017:10.1016/j.marpol.2017.01.018,
author = {Levontin, P and Baranowski, P and Leach, AW and Bailey, A and Mumford, JD and Quetglas, A and Kell, LT},
doi = {10.1016/j.marpol.2017.01.018},
journal = {Marine Policy},
pages = {114--121},
title = {On the role of visualisation in fisheries management},
url = {http://dx.doi.org/10.1016/j.marpol.2017.01.018},
volume = {78},
year = {2017}
}

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TY  - JOUR
AB  - Environmental  change  has  focused  the  attention  of  scientists,  policy  makers  and  the wider  public  on  the  uncertainty  inherent  in  interactions  between  people  and  the environment.  Governance  in  fisheries  is required  to  involve stakeholder  participation and tobe more  inclusive  in  its  remit,  which  is  no  longer  limited  to  ensuring  a maximum  sustainable  yield  from  a  single  stock  but  considers  species  and  habitat interactions, as well as social and economic issues. The increase in scope, complexity and awareness of uncertainty in fisheries management has brought methodological and institutional  changes throughout  the  world.  Progress  towards  comprehensive,  explicit and  participatory  risk  management  in  fisheries  depends  on  effective  communication. Graphic   design   and data   visualisation   have   been   underused   in   fisheries   for communicating  science  to a wider  range  of  stakeholders. In  this  paper, some  of  the general  aspects  of  designing  visualisations  of  modeling  results are  discussed and illustrated  withexamples  from  the EU  funded MYFISH  project.  These  infographicswere  tested  in  stakeholder  workshops,  and improved  through feedbackfrom  that 2process. It is desirable to convey not just modelling results but a sense of how reliable various   models   are.   A   survey   was   developed to   judge   reliability   of   different components  of  fisheries  modelling:  the  quality  of  data,  the  quality  of  knowledge, model  validation  efforts,  and  robustness  to  key  uncertainties.  The  results  of  these surveys  were  visualized  for  ten  different  models,  and  presented  alongside  the  main case study.
AU  - Levontin,P
AU  - Baranowski,P
AU  - Leach,AW
AU  - Bailey,A
AU  - Mumford,JD
AU  - Quetglas,A
AU  - Kell,LT
DO  - 10.1016/j.marpol.2017.01.018
EP  - 121
PY  - 2017///
SN  - 1872-9460
SP  - 114
TI  - On the role of visualisation in fisheries management
T2  - Marine Policy
UR  - http://dx.doi.org/10.1016/j.marpol.2017.01.018
UR  - http://hdl.handle.net/10044/1/43839
VL  - 78
ER  - 

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