Citation

BibTex format

@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}
}

RIS format (EndNote, RefMan)

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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