On the role of visualisation in fisheries management
File(s)
Author(s)
Type
Journal Article
Abstract
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
to
be
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 o
f 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 underu
s
ed 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 with
examples from the
EU funded
MYFISH project
. These infographics
were tested in stakeholder workshops, and
improved through
feedback
from that 2
process
.
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 pr
esented alongside the main
case study.
wider public on the uncertainty inherent in interactions between people and the
environment. Governance in fisheries is
required to involve
stakeholder participation
and
to
be
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 o
f 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 underu
s
ed 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 with
examples from the
EU funded
MYFISH project
. These infographics
were tested in stakeholder workshops, and
improved through
feedback
from that 2
process
.
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 pr
esented alongside the main
case study.
Date Issued
2017-01-19
Date Acceptance
2017-01-09
Citation
Marine Policy, 2017, 78, pp.114-121
ISSN
1872-9460
Publisher
Elsevier
Start Page
114
End Page
121
Journal / Book Title
Marine Policy
Volume
78
Copyright Statement
© 2017 Elsevier Ltd. All rights reserved. This manuscript is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/
Sponsor
Commission of the European Communities
Grant Number
289257
Subjects
Science & Technology
Social Sciences
Life Sciences & Biomedicine
Environmental Studies
International Relations
Environmental Sciences & Ecology
Information design
Fisheries
Modelling
Stakeholders
Visualisation
RISK
UNCERTAINTIES
INFORMATION
OBJECTIVES
LESSONS
MSY
0502 Environmental Science And Management
1606 Political Science
1801 Law
Publication Status
Published