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World Class Science for the Marine and Freshwater Environment
Fishing-4-data, Informing the
scope of the Celtic Seas fishery
stakeholder data collection
strategy
Results of an online-survey designed to match data
collection opportunities with data needs.
Produced by Cefas under contract to:
Author (s): Sven Kupschus, Alexandra Lee
Issue date: 05/Feb/2017
Cefas Document Control
Submitted to:
Dr Gaynor Evans
British Oceanographic Data Centre
Date submitted: 03/02/2017
Project Manager:
Sven Kupschus
Fisheries
Report compiled by: Sven Kupschus, Alexandra Lee
Quality control by:
David Righton, Stephen Mangi (Jim Ellis and Christopher Lynam
consulted)
Approved by and
date:
David Righton
Version: Version 2.2c
Version Control History
Author Date Comment Version
Sven Kupschus 20/01/2017 V1
Sven Kupschus 27/01/2017 Final Draft V2
Sven Kupschus 02/02/2017 Alex’s comments
included
V2.1
Sven Kupschus 03/02/2017 Final Edits and
formatting
V2.2
Sven Kupschus 15/02/2017 Customer
comments
addressed
V2.2b
Sven Kupschus 01/03/2017 Added CSP and
life logos at
customers request
V2.2c
Fishing-4-data Page 1 of 31
Table of contents
Contents
Table of contents .................................................................................................................................. 1
Executive Summary .............................................................................................................................. 2
Introduction ........................................................................................................................................... 3
Specific aims and objectives ............................................................................................................... 3
Materials and Methods ......................................................................................................................... 4
Results ................................................................................................................................................... 5
Respondent composition focus .......................................................................................................... 6
Responses for data opportunities and need ...................................................................................... 6
Biases in data ........................................................................................................................................ 8
Concerns of fishermen ....................................................................................................................... 10
Engagement ......................................................................................................................................... 10
Discussion ........................................................................................................................................... 11
General environmental information .................................................................................................. 12
What could be done for environmental information? ..................................................................... 12
Information relating directly relating to fishing activity .................................................................. 13
Comments on MSC certification ........................................................................................................ 14
What could be done for fisheries data? ............................................................................................ 14
Concerns of data / advice users ........................................................................................................ 15
Concerns of fishermen ....................................................................................................................... 16
Engagement Scores ............................................................................................................................ 17
Appendix: The on-line survey ............................................................................................................ 18
Fishing-4-data Page 2 of 31
Executive Summary
The Celtic Seas Partnership aimed to identify areas of ecosystem monitoring where the fishery could
help satisfy the demand for data by data and advice users throughout government and non-
governmental sectors.
The industry proposed to assist in collection of most if not all data types, but information directly
related to the fishery such as fish stocks, biodiversity from fishing activities, fisheries activity and
fisheries acoustics was readily obtainable by many of the fishermen. A smaller number of fishermen
considered they could also provide more general environmental information. The biggest concern
regarding such data collections was that the data may be ‘used against them’. This feeling of distrust
was also indicated by optional comments in the survey.
Data and advice users, mainly marine monitoring authorities (MMA) and environmental NGOs, were
also predominantly interested in the data that the industry could supply directly related to fishing
activities. Proportionally the interest in environmental data was greater in eNGOs than in MMAs.
Opportunities to maximise the impact of fishing-4-data in the areas of fisheries mean much more
detailed discussions between specific fisheries and stock assessors are necessary. Advice could focus
on areas of high assessment priority which could also have a beneficial outcome for the industry.
These includes data collections on data poor species managed on a highly precautionary basis,
especially those that may act as choke species as the landings obligation is further implemented.
Widely distributed species with changing distributions that complicate the attribution of landings to
stock and areas provide further opportunities.
In contrast to stock assessments, environmental assessments are less specific, such data collections
could be applied more generally across an ecoregion with fewer concern over the appropriateness of
the spatial range of collections and differences in fishing practices. Current standardised protocols
for collection on research vessels will likely need to be adapted to make them suitable for use on
fishing vessels.
Few data users think that data supplied by the fishery cannot be trusted or used at all. Around 30%
think that the data could be used directly in the current assessment or with minor modifications in
ca. 30% of cases there are spatial, temporal or methodological restrictions that mean the data has
limited representation and different way of incorporating this data into assessments need to be
sought. The remaining 30% of data issues relate to data quality and reliability that can be resolved by
the fishery. The proportion of each of the concerns is surprisingly similar across the different data
types.
Fishing-4-data Page 3 of 31
Introduction
The Celtic Seas Partnership (CSP) is an international project that aims to generate collaborative and
innovative approaches to marine management of the Celtic Seas. The CSP is delivering its aim
through facilitating engagement between sectors (sea users, industry, governments, and the
scientific community) and across borders to ensure the long-term future of the environment.
The CSP support delivery of the main goal of the Marine Strategy Framework Directive (MSFD)
including the Common Fisheries Policy (CFP) under descriptor 3 of the MSFD- to achieve good
environmental status (GES) in Europe’s seas by 2020. To achieve GES, the MSFD requires that a
programme of measures (to achieve or maintain) be developed by each EU country in consultation
with stakeholders. The CSP has been facilitating the development of these measures through setting
up task groups.
The Biological Diversity Task Group was set up to consider how stakeholders could work together to
develop a measure to help the delivery of the MSFD Biodiversity descriptor (D1: Biological diversity
is maintained). The quality and occurrence of habitats and the distribution and abundance of species
are in line with prevailing physiographic, geographic, and climatic conditions. The aim of the group
was to establish a network of sea-users with the capacity to collect data/information to build
ecological understanding of the state of the Celtic Seas.
In March 2016, the group convened and agreed that their common goal was to develop “a strategy
to make industry collected data scientifically credible and salient to inform policy and its
implementation”. To progress this strategy, the CSP has contracted Cefas to collect stakeholder
views on how/if data collected by commercial fishing vessels could be used to strengthen the
assessment processes. During the contract negotiation for this project it became clear that there
remained uncertainty around the development of this biodiversity indicators. Rather than focusing
on D1 it was determined to be advantageous to broaden the objective to environmental data
needed to support management of human activities.
Specific aims and objectives
Through contacting marine monitoring authorities (MMA), environmental non-governmental
organisations (eNGOs), fish processors and retailers, and fishermen we aimed to;
1. identify gaps in monitoring data for assessment needs;
2. canvass opinion on whether these data gaps could be filled by data gathered in association
with the fishing industry;
Fishing-4-data Page 4 of 31
3. identify capacity or expertise within the fishing industry to collect data and;
4. describe difficulties of data users in incorporating the information in assessments and
characterize the potential pitfall faced by the industry in collecting such information
5. comment, where possible, on methods of data collection that could be used by commercial
fishing vessels to gather data identified in the project.
6. provide some information on the Marine Stewardship Council (MSC) accreditation process in
relation to the data needed to evaluate sustainable exploitation of the fisheries resources.
Materials and Methods
Cefas developed a technical assessment questionnaire (Appendix A) published through the Survey
Monkey (www.surveymonkey.com) online portal. Participants were only shown questions relating to
their specific activity in the monitoring and assessment process to ensure relevance and to minimise
the time needed to complete the survey. The branched survey design with questions being
dependent on previous answers is shown in Figure 1. A trial of the survey was sent out to Cefas
employees to test logic and functionality and to assess the time that it would take to complete.
Figure 1: Schematic of the branched on-line survey identifying the numbered questions the participant’s answer to which determined the path through the survey. Full details of questions can be found in appendix A.
The survey was circulated to a list of 42 ‘targeted’ stakeholders identified by the CSP via a URL link
copied into an e-mail invitation. Because of the limited number of invited participants and the
uncertainty regarding the likely number of targeted responses the same survey was also made
available to anyone interested in responding. Potential ‘general’ participants were made aware of
the public survey through;
a. requesting ‘targeted’ respondents to forward the survey link to others that they felt might
be interested.
b. through circulating the link to the Celtic Seas Partnership Group.
Fishing-4-data Page 5 of 31
c. through publicising the survey link via a blog on the Cefas website, this blog explained the
purpose of the research and included a link to the general survey. The Cefas twitter account
periodically advertised the blog.
d. Composition of respondents was monitored throughout and e-mails were sent to encourage
specific categories of respondents to participate in an attempt to balance the coverage
across potential data providers and various data users.
Two separate URL survey links were circulated, one to targeted stakeholders and another to the
general responders, the links lead to the same survey but the data generated were stored separately
allowing for the groups to be analysed separately.
The survey was first circulated to the targeted group on the 24th November 2016 and participants
were given until the 23rd December to respond. The link was also sent to the CSP partnership group
on this same date who were given the same deadline. The blog on the Cefas website went live on
the 5th December. An e-mail reminder was sent to the target group to encourage completion of the
survey. Respondents were contacted by phone or e-mail where details were provided if their
answers required clarification or further detail was needed to aid the interpretation (follow-up).
Results
Overall 49 individuals responded to the on-line survey made up of 16 (of 42 targeted by the CSP)
from the target group selected by the Celtic Seas Partnership and 33 from the general group (Table
1). A qualitative examination of the data suggested that overall the respondents understood the
survey aims and completed the survey appropriately. There were minor issues with errors such as
two fishermen who indicated their main area of focus was hydrographic information while they
indicated that they could not supply this data, an assessment scientist who sought entirely new data
intending to include it in existing assessments without significant alteration, multiple responses from
a single IP address. These inconsistencies were unlikely to be deliberate and more likely a result of
user error coupled with the implementation of complex survey within the constraints of the
framework offered by the Survey Monkey website. Data were not corrected for these potential
errors where it was not possible to contact respondents. The residual uncertainty over the accuracy
of the responses is not expected to influence the conclusions of this survey.
There were concerns over the number of likely responses from the targeted respondents and the
survey was extended to a wider audience. The CSP was concerned that there may be differences in
the answers between those that were involved in the process already and the wider group of
participants. A qualitative examination of the results did not suggest substantial differences between
Fishing-4-data Page 6 of 31
Table 1 Composition of target and general group divided by employer and topic focus as inferenced by respondent’s employment details.
the responses of the target and general group within a category (fishermen, fish processors, MMAs
and eNGOs), but a statistical comparison was not possible with the relatively small number of
respondents. Differences between the groups were mostly associated with the difference in the
representation of the categories. Therefore, the remainder of the report uses the combined target
and general respondents except where specifically stated.
Respondent composition focus
A total of 23 fishermen or boat owners responded, six respondents were from eNGOs, 19 were from
marine monitoring authorities and only one fish processor or retailer completed the survey (Table
Employment
Ge
ne
ral
res
po
nse
s
% o
f
ge
ne
ral
Ta
rge
t
res
po
nse
s
% o
f
targ
et
To
tal
res
po
nse
s
Fish processor or retailer 0 0 % 1 6 % 1
Fisheries data or assessments 0 0 % 1 6 % 1
Fishermen or boat owner 17 53 % 6 35 % 23
Fisheries data or assessments 16 50 % 5 29 % 21
Hydrographic and water quality data or assessments 1 3 % 1 5 % 2
Marine Monitoring Authority (e.g. Defra and the Defra family,
devolved administrations)
15 47 % 4 24 % 19
Fisheries data or assessments 10 31 % 4 24 % 14
Hazardous substances 1 3 % 0 0 % 1
Hydrographic and water quality data or assessments 3 9 % 0 0 % 3
Impact of fishing on conservation features 1 3 % 0 0 % 1
Non-Governmental Organisation (e.g. WWF, Green Peace etc.,
MSC, Pew Charitable Trust)
1 3 % 5 29 % 6
Ecology and Biodiversity data or assessments 1 3 % 2 11 % 3
Fisheries data or assessments 0 0 % 2 11 % 2
Hydrographic and water quality data or assessments 0 0 % 1 6 % 1
Grand Total 32 17 49
Fishing-4-data Page 7 of 31
1). Fishermen were well represented in both the targeted and general group, making up 35% and
53% of respondents respectively. Monitoring authority respondents comprised 46% of the general
group and 25% of the targeted group. Five out of the six eNGO respondents were part of the
targeted group. Only one fish processor responded and they were part of the targeted group.
All participants completed the question on the focus area of their current employment, classifying
themselves as interested in fisheries data or assessments, ecology and biodiversity data or
assessments, hydrographic and water quality data or assessments or other environmental data or
assessments. Fishermen were asked what data types they could supply information on (question 6,
appendix A) and data users (MMA, eNGO and fish processor) were asked what data they would be
interested in obtaining with assistance from the fishing industry (question 4 and 5, appendix A).
Most respondents answered these questions, but 3 fishermen, one MMA and one eNGO respondent
chose not to respond to their question.
Figure 2 Survey respondents by employer and employment focus, illustrating the importance of fisheries data and assessment amongst the fishermen and marine monitoring authorities respondents. Non-governmental organisations were the only group whose responses were dominated by other subject areas.
Results of the data questions indicate that the majority of respondents (77%) focus on fisheries
related data or assessments (Figure 2). This is expected for fishermen and fish processors. Most
monitoring authority responders, 74% (14 out of 19), specialised in fisheries data, but other
specialities were represented with 16% (3 out of 19) focused on hydrographic and water quality
data. Two monitoring authority respondents did not focus on any of the suggestion options and
Fishing-4-data Page 8 of 31
selected the ‘other’ option described by them as ‘hazardous substances’ and ‘impact of fishing on
conservation features’.
The focus of the eNGO respondents was broader with 33% (2 out of 6) focused on fisheries data or
assessments, 50% (3 out of 6) focused on ecology and biodiversity data or assessments and the final
one eNGO respondent focused on hydrographic and water quality data or assessments (Figure 2).
Responses for data opportunities and need
Offers and request for information related to fisheries dominated. Of the 23 fishermen 17 indicated
they could provide data on fish stocks, 16 for fisheries data, 11 biodiversity from fishing activity and
16 for acoustic information making up 85% of the data offers. The fish processor respondent
requested only information related to fisheries data, whereas MMA’s and eNGOs showed an
increasing interest in general environmental information, but still less than 50% (Figure 3).
Figure 3 Percentage of responses by data type (colour) and opportunity / need (colour intensity) with data needs divided by employment group (single fish processor not included in figure). Numbers in boxes represent the percentage of respondents with a positive reply within the employer group. For example, 84% of MMA respondents requested data on fish stocks, but these made up a smaller proportion (20%) of the responses than the 78% of fishermen willing to supply data (25% of responses) due to the smaller positive number of responses on environmental information from fishermen.
Biases in data
Monitoring agency, eNGO and fish processors / retailers were asked about potential concerns with
fishing industry supplied data (questions 13 and 14, appendix A). Eighteen out of a potential 26
respondents chose to answer this question. The comments came from 5 eNGO and 13 MMA
participants. The rest skipped this section of the questionnaire. It is important to remember that the
Fishing-4-data Page 9 of 31
judgement of bias is not solely a judgement of on the data, but is conditional on assumptions of the
assessment. The analysis of biases was therefore restricted to data and advice users as these were
best able to judge the requirements of the assessment. Sixteen of the 21 respondents in this
reduced group provided a total of 186 answers summarised in Figure 4. Data screening indicated
that some responses were registered for data sources that were not marked as relevant to the
individuals work. This was not intended by the survey, but it is not clear if it was intended by the
respondents. Given the general approach to analysis and the minor impact on the general conclusion
from responses no effort was made to exclude responses regarding data sources for which no
interest was registered by a respondent.
Figure 4 Data users considerations of 17 respondents that answered this section by data type. Red indicates a general mistrust of data, yellow shades are concerns of data quality and reliability, blue shades imply biases inherent in the use of fishing vessels relating to what the samples are representative of, green shades indicate no concerns, or minor concerns that could be addressed with some adjustment of the assessment methodology.
One should guard against over interpretation beyond some general statement, because responses
are individual opinion and not the official assessment. Surprisingly, the results are similar across the
data sources while one might have expected that for fisheries observations for example the
restrictive operation of the fishery might not pose any problems. Fishermen might have more
incentives to incorrectly record bycatch from the fishery, while it seems questionable that
hydrographic information might have systematic biases. The results used in the discussion only to
present the sorts of issues that would need to be resolved.
Fishing-4-data Page 10 of 31
Concerns of fishermen
Twenty of the fishermen had at least one concern with the provision of data with five fishermen
having the maximum of three concerns. The remaining three fishermen had either no concerns or
skipped this question. The greatest concerns were that data would be used against fishermen (13
responses) followed by concerns over diversion of activity from fishing to monitoring (location, 8
responses ; crew, 7 responses). There were no concerns voiced regarding the use of the data by
authorities (Figure 5).
Figure 5 Showing number of responses registered by fishermen regarding data collections shown for the target and general group. The use of data against fishermen was the greatest concern over all, with 73% of fishermen registering the concern in the general group, while only 30% did so in the target group. No fishermen indicated concerns that the authorities might gain information on their activities.
Engagement
Thirty four of the 49 respondents replied to the question regarding their willingness to help develop
means to overcome issues that hinder the use of fishing vessels as platforms for data collection, all
but two of them positively. It is not clear if the other 15 respondents were not interested in
participating or did not want to answer the question. Four fishermen, 4 MMA and 3 eNGO
employees were unconditionally willing to participate.
Fishing-4-data Page 11 of 31
Table 2 Engagement scores by employer and target group.
Employment general
group target
Total
Fishermen or boat owner
Yes, and I am willing to engage in the process 3 1 4
Yes, but I would need resources to engage in the
process. 6 2 8
Yes under specific conditions 3 2 5
Marine Monitoring Authority (e.g. Defra and the
Defra family, devolved administrations)
Yes, and I am willing to engage in the process 4 2 6
Yes, but I would need resources to engage in the
process. 6 6
Yes under specific conditions 1 1
No, I am not qualified to do so. 1 1
Non-Governmental Organisation (e.g. WWF, Green
Peace etc., MSC, Pew Charitable Trust) Yes, and I am willing to engage in the process 1 2 3
No, I am not qualified to do so. 1 1
Grand Total 23 11 34
Discussion
The objective of this study was to identify opportunities where fishermen could cooperate in the
collection of data towards a comprehensive monitoring program designed to assess the
environmental condition of the seas. The on-line survey identified a broad range of information that
already exists or could reasonably be collected by the fishing industry in association with their
normal activities. For each of the suggested data types there was at least one fishermen able to
provide such information and at least one data user interested in obtaining said information.
Identifying the likelihood of a successful match between provider and user requires more than a
strict numerical analysis of the responses in the two groups. There are many additional
considerations in terms of effort and equipment necessary to collect the data, using the data
coherently in terms of the representativeness of samples in relation to the sampling design and
evaluating the urgency of need. Because respondents could not be deemed to be a representative
sample of the composition of environmental monitoring programs the following section describes
our interpretation of the results in the context of our understanding as experts with extensive
knowledge of fisheries in the Celtic Sea, experience with environmental assessment procedures as
Fishing-4-data Page 12 of 31
part of a marine management authority and detailed understanding of monitoring and experimental
design.
General environmental information
Clean seas are important to recreational marine users and society in general. Consequently, marine
management organisations and eNGOs place a significant importance on marine environmental
data. This importance has increased significantly in recent times as emphasised by its inclusion in the
marine strategy framework directive (MSFD). Despite this only 30% of MMA responses indicated an
interest in biodiversity information from additional activities (58% of MMA respondents),
hydrographical information (37%), marine litter (37%).
Despite the obvious pressure for more environmental assessments, their data needs are currently
not clearly defined so it remains to be seen how the fishing industry can assist in meeting this need
now. Numerically biodiversity information from activities other than fishing elicits the largest
interest. From the agency affiliation and or names where provided, this appears to relate to mostly
to marine mammal and bird observations (58 and 67% of MMA and eNGO respondents).
What could be done for environmental information?
Biodiversity observations:
Marine mammal and bird observations require species identification skills to maintain data quality.
Training in most cases is not difficult especially since fishermen already possess many of the skills
necessary to estimate covariables such as sea state visibility etc. necessary for inclusion in
assessments. More difficult to overcome are the observation standards or current monitoring
methods. Many species are attracted to fishing activity and standards specify that observations
during and in proximity to fishing are not useful in the assessment of the species. Developing
assessment methods that can deal with the effects of fishing on observations would greatly increase
the potential data sources and likely in assessment precision. Working together on these issues
would potentially reverse the historic distrust and lack of positive communication between industry
and those involved in these observations. The regional assessment procedure and low technical
complexity of data collection (observations only) means that this is topic that could be applied across
a wide range of fisheries if the data biases can be resolved.
Marine Litter:
Assessments for marine litter (D8) have developed further than biodiversity indicators under OSPAR
and monitoring programs are still in their infancy. Considering that many more MMA employees
Fishing-4-data Page 13 of 31
work on biodiversity issues than on litter suggests industry collected data is being seriously
considered for marine litter. Current methods for collecting data are comparatively labour intensive
and results variable, so it has only partly been possible to incorporate litter monitoring into other
legislative monitoring programs. The opportunity for data provision appears low with only 4 positive
responses out of 23 possible respondents indicating they would be willing to contribute. From the
survey, it is not clear if it is a lack of interest in the topic or whether there are real technical issues
with regards to providing the data.
The complexity of the information required by current litter assessments would likely make the
activity burdensome for fishermen. A more general indicator of marine litter may represent a more
realistic opportunity to collaborate with the wider industry. Detailed discussions between fishermen
and assessors are needed to develop a methodology that could be consistently applied across a wide
range of vessels to cover large areas of the seas.
Water quality:
Hydrological information could be provided by some fishermen, and was identified as a need by
management authorities and eNGOs. There is however a significant financial cost in providing such
information related either to sample analysis or to calibration of expensive equipment. The precision
levels needed for this type of information are generally prohibitive, especially for fisheries that
operate in limited areas where repeated measurements are strongly autocorrelated and thus
provide little information beyond the first sample. That is not to say that there are no opportunities
in this topic area, but they will likely be more specific and locally constrained compared to other
environmental information.
Information relating directly relating to fishing activity
Broadly speaking the results suggest that the greatest opportunity to involve fisheries in data
collection is in relation to information directly related to fishing activity. Information on fish stocks
and fisheries activity are represented in the opportunities (fishermen) and need (management
authority and NGOs) in substantial numbers. This information is practical to collect as it is most
aligned with fishing activities so is likely to have minimal impact. There are wide ranging
environmental uses for these data from stock assessments of interest to the fishery itself to
biodiversity and habitat information under D1.
Acoustic information can also be made available by many fishermen, but there were fewer
respondents expecting to use this information. Our survey treated these data as a distinct entity
belying the fact that it has the potential to be highly informative on stock abundance but ‘advice
Fishing-4-data Page 14 of 31
users’ may not fully understand the relevance at the assessment level. Nevertheless, acoustic
information and diversity information from fishing activity present good opportunities for
cooperation. Because such information is currently poorly represented in assessments it may well
have a greater effect in improving assessments than information on fish stocks and fisheries activity.
Comments on MSC certification
The Celtic Seas Partnership asked for feedback regarding information that fishermen could provide
to help secure accreditation for their fishery. MSC accreditation investigates whether exploitation of
the target species is sustainable. The decision on sustainability is usually based, where available, on
the stock assessment developed for management purposes. The contribution that fishermen could
make to such assessments has been discussed previously in this report. In addition, MSC consider
impacts of the fishery beyond the target species especially bycatch / discard issues for commercial
species and protected species as well as more general interactions between gears and demersal
habitat not necessarily observable in catches. Communication with MSC accreditors suggested that
as in the case of stock assessments in general the data collections that would be of use in making
such assessments are highly fishery specific and it is difficult to make general recommendations as to
what should be collected. In most cases the consultants employed in submitting the accreditation
requests are best placed to advise on the requirements for specific fisheries. Where MSC accreditors
require data not provided as part of the process initial data collection process or where there is an
on-going data need to ensure that environmental impacts are minimised such data collections can
be stipulated as part of the accreditation. It is therefore difficult to make general recommendations
regarding the data needs of MSC accreditors.
What could be done for fisheries data?
MMA’s indicate that available resources are a limiting factor to improved assessments. To maximise
the impact of the fishing-4-data initiative we suggest to prioritise effort in areas where the
assessment focus of government scientists and the data opportunities provided by fishermen
overlap.
Data limited species are attracting a lot of attention because advice is needed but difficult to
develop. For example, many elasmobranch stocks are data-limited and legislative collections are
kerbed due to the relatively small proportion of these species in landings. However, they are
considered ecologically important and several species have restrictive fishing opportunities, and so
could easily become choke species as the landing obligation is phased in. Better data are likely to
lead to improved confidence in status assessments, meaning there would be less of a need to
Fishing-4-data Page 15 of 31
implement highly precautionary management. Where stock status is estimated to be as good or
better than in current assessments, it should then be possible that fisheries advice would be that
catches could be increased. There is however no guarantee that more detailed assessment would
result in stock status improvements, and expectation must be managed.
There is also a focus on wide ranging species especially where they distribution has changed from
historic conditions. There are many such stocks, but localisation of fisheries, and total size of stocks
mean that there may be limited opportunities for additional, short-term data collection to influence
legislative conclusions for many demersal species. The real opportunity for additional information
making a difference to fishermen is probably in the pelagic sector, where a better understanding of
the stock distribution and its change over time has the potential to lead to more informed decision
making for managers and policy.
In contrast, for many age-based demersal stock assessments more of the same data would likely
lead only to more precise assessments. There will potentially be some gains in fishing opportunities,
because as in data-limited stocks, more precision means less precautionary management is needed.
It is unlikely to fix concerns over bias, persistent under- or overestimation of stock dynamic
parameters. To address such issues new or different data is needed to correct for biases in the
assessment such as changes in productivity or natural mortality. Such changes in stock size due to
causes other than exploitation are poorly understood, but recent data on environmental conditions
are difficult to relate to these historic changes, so that improvements in environmental data
collection are unlikely to improve assessments in the short term.
Industry focus understandably is likely to turn to these traditional stocks. If it is decided to make
these the focus of data collection efforts because a broader range of fishermen would likely benefit
then it is important to manage the expectation. More substantial and longer-term commitments are
necessary to make progress for traditional demersal species.
Fisheries data collection methods are already standardised and developed to be suitable for use on
fishing vessels. Technological developments have largely focused around automating the electronic
data capture / evaluation process. Such technologies may be deployed, but are more prone to
failures without frequent maintenance. Specific methodologies can only be considered once it is
clear specifically what data is needed for a particular stock.
Concerns of data / advice users
Concerns over using data collected with the help of fishermen are surprisingly similar across the
different data sources and uses. Encouragingly and in contrast to optional survey comments made
Fishing-4-data Page 16 of 31
by fishermen, government and eNGOs are generally positive about the data (figure 2). Only roughly
10% of responses indicated that data was inherently untrustworthy and therefore not suitable for
assessment purposes. Roughly 30% responses suggest that the data could be used with few or minor
changes to the assessment methodology, implying that there should be some quick wins. Responses
suggest, for most assessments, circa 40% of the concerns could be overcome with some investment
from the fishing industry, such as quality of data, reliability of long-term availability and
methodological protocol. The remaining 20 to 30% of responses indicated that the information from
fishermen is likely to have spatial, temporal or technical biases. These problems are specific to the
intended use of the data and would require additional work by assessors in conjunction with the
industry to ensure that the biases in the new data sources can be accounted for in the assessment
appropriately.
Overall, the results are very positive with the large majority of problems resolvable, though in most
cases at additional cost. It is important to be clear that the work and cooperation is a long-term
commitment and more thought needs to be put into how such activities can be funded. As
commented in the survey, collecting data that is not used presents no benefit. At the same time, it
must be clear that in stock assessments in particular, short time series tend to have little effect in
changing assessment outcomes and in many cases they cannot be used until a long enough time
series exists.
Concerns of fishermen
No participating fisherman registered a concern that authorities may gain information regarding
their activities (Figure 3). In part, this is because inspections already extensively supervise the
industry, at sea observer programs and vessel monitoring systems provide data on fishermen’s
activity and behaviours. The use of this data for scientific purposes is currently not extensive and
more could be done with currently available data. There are many reasons why this data is not
utilised more effectively, some of which mirror the problems faced by industry assisted data
collection. It is important to discuss the issues and solve the problems ahead of data collection.
Few fishermen thought they had the time or opportunity to collect information in areas other than
fishing grounds. The proportion of the time at sea spent on fishing grounds is relatively large and few
vessels can afford to be at sea conducting activities other than fishing. The whole point of involving
fishermen in data collection is to make efficient use of time spent at sea for different purposes so it
does not seem sensible to divert vessels from their primary activity, but opportunities may still exist
on transits between port and fishing grounds.
Fishing-4-data Page 17 of 31
The biggest concern for fishermen was that the information would be used against them and the
industry. If this is a real difference between the groups it is not clear whether this is due to the
targeted group having been involved in the process of the CSP (having gained some trust) or
whether they simply were more likely to participate in the process because of less concern.
The survey did not specify what constituted ‘against the fishery’. With hindsight, this is an important
distinction worthy of future exploration. If fishermen are concerned that their data may lead to
reduced catches in order to maintain sustainability then this will inevitably lead to conflict.
Improvements in precision and accuracy are largely independent of the likely change in status
outcome which must be accepted prior to participation in data collections. Interpretation of the data
out of scientific context, with the intent to support a particular view or ambition (pseudo-science)
must be avoided. Clarifying and discussing these risks is necessary to avoid the erosion of trust and
to ensure the longevity of what is a worthwhile and efficient means to improve our understanding of
fish, fisheries and the environment.
Engagement Scores
The survey demonstrates that there are both fishermen and data users interested in making industry
data collection work. Just under half the fishermen and over half the data user participants (Table 2)
were interested in further efforts to resolve the issues highlighted in this survey. Over half the
participants thought there would be some constraints to their engagement, financial, skill or other
condition. Those responding positively to the question in the MMA group were almost exclusively
those with a fisheries focus. When willing to work on other data sources participants did so only in
conjunction with fisheries information indicating that for industry data collections the most likely
starting point will be working together on fisheries issues. The narrow focus of fisheries issues
described earlier would mean that in this case a broader industry wide initiative is likely to be
difficult to implement and this should be considered in the decision.
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