Expert opinion on using angler Smartphone apps to inform marine fisheries management: status, prospects, and needs

Skov, Christian; Hyder, Kieran; Gundelund, Casper; Ahvonen, Anssi; Baudrier, Jérôme; Borch, Trude; Decarvalho, Sara; Erzini, Karim; Ferter, Keno; Grati, Fabio; Derhammen, Tessa van; Hinriksson, Jan; Houtman, Rob; Kagervall, Anders; Kapiris, Kostas; Karlsson, Martin; Lejk, Adam M.; Lyle, Jeremy M.; Martínez-Escauriaza, Roi; Moilanen, Pentti; Mugerza, Estanis; Olesen, Hans Jakob; Παπαδόπουλος, Αναστάσιος; Pita, Pablo; Pontes, João; Radford, Zachary; Radtke, Krzysztof; Rangel, Mafalda; Sagué, Oscar; Sande, Hege; Strehlow, Harry Vincent; Tutiņš, Rūdolfs; Veiga, Pedro; Verleye, Thomas; Vølstad, Jon Helge; Watson, Joseph W.; Weltersbach, Marc Simon; Ustups, Didzis; Venturelli, Paul A.

doi:10.1093/icesjms/fsaa243

Cited by 24 publications

(16 citation statements)

References 27 publications

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“…Recreational fishers sharing catches on digital platforms were more involved in the activity in terms of avidity (i.e., time spent fishing in the last 12 months) in both survey methods. This confirms and quantifies the non-random representation of data mined from digital platforms that have been already suggested for recreational fishing apps, which are likely to suffer from representation issues causing avidity bias (Jiorle et al, 2016;Venturelli et al, 2017;Skov et al, 2021). The most interesting result is that, according to the online questionnaire, fishers sharing catches on public social media such as YouTube and Instagram showed higher avidity patterns than those sharing catches on the private messaging service WhatsApp (the same is also true for Fishing Apps).…”

Section: Discussionsupporting

confidence: 78%

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Characterizing the Profile of Recreational Fishers Who Share Their Catches on Social Media

et al. 2021

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Social media may provide information for monitoring recreational fisheries, but several caveats prevent operationalization. Specifically, the fraction and profile of recreational fishers sharing their catches is not known. Our aim was to advance the monitoring capacities of recreational fishing using social media data. We collected data with onsite (face-to-face) survey and online (emails) questionnaires to characterize marine recreational fishers sharing catches on digital platforms (“sharers”) along with other demographic or fishing information. In the online survey we found that 38% of recreational fishers share their catches using digital platforms (including the private messaging platform WhatsApp), but such proportion dropped to 12% when considering only public or semi-public social media (Instagram was the most commonly used platform, followed by Facebook, YouTube, and Twitter). A similar pattern was found with the online questionnaire where sharers represented 37% of recreational fishers (including WhatsApp), while such proportion dropped to 21% when considering only public or semi-public social media. In general, sharers were more avid (24 and 35 yearly fishing trips for onsite and online survey, respectively) compared to non-sharers (18 and 31 yearly fishing trips). Sharers also spent more money on each fishing trip (on average 26 and 31 euro for onsite and online survey, respectively) than non-sharers (on average 21 and 28 euro for onsite and online survey, respectively), but they had similar chances of catching something. However, for fishers with catches, the harvest per unit effort of sharers was higher than that of non-sharers (0.4 and 0.5 kg/h with respect to 0.3 and 0.4 kg/h, for onsite and online survey, respectively). Moreover, recreational fishers that caught trophy, iconic, or emblematic species were more inclined to share their catches. This study represents an important advancement for integrating social media data into the monitoring of recreational fishing.

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Section: Discussionsupporting

confidence: 78%

“…However, these methods are generally expensive, timeconsuming, and often limited in space and time. The digital transformation of societies offers novel alternative monitoring methods such as smartphone applications, which are gaining increasing attention as recreational fishing monitoring tools (Venturelli et al, 2017;Skov et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

Characterizing the Profile of Recreational Fishers Who Share Their Catches on Social Media

et al. 2021

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“…With that in mind, results from this study suggests that future studies should focus on understanding differences between data providers in citizen science programs and the general angler population, possibly by identifying mechanisms behind user recruitment and data contribution on citizen science platforms. Having said that, data collected by citizen science platforms may, despite existence of inherent sources for biases, still give insights into recreational fisheries as discussed by e.g., [9] , [11] , [24] , and illustrated by the present study.…”

Section: Discussionmentioning

confidence: 80%

“…creel and recall surveys) supporting that angler apps can be of use. This is relevant information not least since app data are likely to grow in use among managers and researchers in the future [24] ). Nonetheless, there is a strong need for further evaluation of the data quality from citizen science projects in general and angler apps in particular (e.g., [24] ).…”

Section: Conclusion and Study Limitationsmentioning

confidence: 99%

Changes in angler demography and angling patterns during the Covid-19 lockdown in spring 2020 measured through a citizen science platform

Gundelund

Skov

2021

Marine Policy

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From 11 March to end of May 2020 a lockdown was imposed in Denmark due to the Covid-19 outbreak. Concurrently a 20% increase in sales of mandatory national angling licenses was reported in Denmark, suggesting an increase in angling participation. Here, we use data collected from a citizen science platform for recreational anglers to a) explore whether the increase in participation affected multiple characteristics of the anglers that registered to the citizen science platform in spring 2020, and b) explore changes in angling effort and catch patterns during the lockdown as reported to the platform. The results indicate that the platform was able to detect changes in the characteristics of the participants in the Danish recreational angling during the Covid-19 lockdown, i.e. participants were younger, more likely to live in urban areas, less experienced, stated angling as a less important hobby, and less likely to be from outside of Denmark. The spring 2020 participants did not conduct more fishing trips compared to previous years, but their effort patterns differed. The effort patterns revealed a shift in fishing activity from weekend to weekday and, during the day, a shift in fishing activity from midday to early evening. These changes most likely reflect the extraordinary conditions that most Danes experienced during the lockdown. We found relatively lower catch rates and a trend towards retaining more fish, among the participants that registered in spring 2020. The results are discussed in relation to biological implications and lessons learned about data collection from citizen science platforms.

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“…This non-random sample of anglers can bias estimators of population parameters, for example, by being a more committed and skilled segment that has higher catch rates than the general angling population (Gundelund et al 2020). Despite these challenges, examples of app data tracking some catches (e.g., Jiorle et al 2016) and other novel uses (Papenfuss et al 2015;Liu et al 2017) have highlighted the need for research to evaluate the potential for app data to inform fisheries management (Venturelli et al 2017;Skov et al 2021).…”

Section: Introductionmentioning

confidence: 99%

Evaluation of a citizen science platform for collecting fisheries data from coastal sea trout anglers

Gundelund

Venturelli

Hartill

et al. 2021

Can. J. Fish. Aquat. Sci.

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There are often limited data available to support the sustainable management of recreational fisheries. Electronic citizen science platforms (e.g., smartphone applications) offer a cost-effective alternative to traditional survey methods – but these data must be validated. We compared sea trout (Salmo trutta) data from a Danish citizen science platform with three independent traditional surveys: a roving creel survey, an aerial survey, and a recall survey. The comparisons include fisheries data (e.g., catch, release, effort, and size structure) and demographic descriptors (e.g., age) that were collected within the same spatial and temporal frame. We found general alignment between recreational sea trout catch and effort data that were provided by citizen scientists, or collected by more traditional survey methods. Our results demonstrate that citizen science data have the potential to supplement traditional surveys, or act as an alternative source of catch and effort data. However, results were from a highly specialized fishery within a limited spatial and temporal frame, so more research is needed to assess their relevance over time and to a broader set of fisheries.

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Expert opinion on using angler Smartphone apps to inform marine fisheries management: status, prospects, and needs

Cited by 24 publications

References 27 publications

Characterizing the Profile of Recreational Fishers Who Share Their Catches on Social Media

Characterizing the Profile of Recreational Fishers Who Share Their Catches on Social Media

Changes in angler demography and angling patterns during the Covid-19 lockdown in spring 2020 measured through a citizen science platform

Evaluation of a citizen science platform for collecting fisheries data from coastal sea trout anglers

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