Imputing recreational angling effort from time-lapse cameras using an hierarchical Bayesian model

Poorten, Brett T. van; Carruthers, Tom; Ward, Hillary G. M.; Varkey, Divya

doi:10.1016/j.fishres.2015.07.032

Cited by 35 publications

(28 citation statements)

References 27 publications

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“…Traditional onsite and offsite survey methods (Pollock et al, 1994;Hartill et al, 2012;Jones and Pollock, 2012) tend to be labour intensive and expensive, but emerging technologies such as video, time lapse, or motion sensor cameras (Smallwood et al, 2012;Van Poorten et al, 2015;Keller et al, 2016) and pneumatic or magnetic induction road sensors (Steffe et al, 2008) offer an efficient means of continuously monitoring relative trends in effort. Camera based technologies can also be used to determine the spatial distribution of effort (Parnell et al, 2010).…”

Section: Discussionmentioning

confidence: 99%

“…The frequency at which images are collected and interpreted is therefore a crucial consideration, which is context dependent. Low frequency image collection may be suitable for small scale fisheries, where a substantial proportion of the fishing effort occurring is observable within the field of view (Van Poorten et al, 2015). A far higher sampling frequency is required to monitor effort occurring over larger spatial scales, however, as fishers or boats are usually observed at the end of their fishing trip, when they quickly pass through a choke point, such as a groin (Smallwood et al, 2012) or some other access point (Pollock et al, 1994).…”

Section: Discussionmentioning

confidence: 99%

“…The accuracy of these imputations should improve further when accurate computer vision based traffic counts become available on a daily basis, rather than for a subsample of 60 days per year, as is currently the case. More sophisticated modelling approaches could be used to further improve the accuracy of these predictions, such as hierarchical Bayesian modelling (Bian and Hartill, 2015;Van Poorten et al, 2015) which can been used to consider further environment determinants of fishing effort, such as wind speed and wind direction. Fortunately the incidence of outages has been very low in most years at most sites and the vast majority of boat counts were observed and model based traffic predictions for these days were not required.…”

Section: Discussionmentioning

confidence: 99%

“…Although creel survey methods are routinely used to monitor recreational fisheries Lynch, 2014) the cumulative long term cost of these programmes can be considerable. Web cameras offer a cost effective means of continuously monitoring trends in effort (Wise and Fletcher, 2013;Van Poorten et al, 2015), but provide no information on landed catch.…”

Section: Introductionmentioning

confidence: 99%

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Bridging the temporal gap: Continuous and cost-effective monitoring of dynamic recreational fisheries by web cameras and creel surveys

et al. 2016

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Bridging the temporal gap: Continuous and cost-effective monitoring of dynamic recreational fisheries by web cameras and creel surveys

et al. 2016

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“…Data derived from cameras should be validated against traditional methods so they can be corrected if any bias is detected (van Poorten et al. ).…”

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confidence: 99%

Evaluating the Efficacy of Using Time‐Lapse Cameras to Assess Angling Use: An Example from a High‐Use Metropolitan Reservoir in Arizona

Stahr

Knudsen

2018

N American J Fish Manag

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Creel surveys are the most common angler use survey used by fisheries managers but can be time intensive and expensive to conduct. Time‐lapse cameras have been evaluated as a cost‐efficient alternative to creel surveys on small lakes, streams, and nearshore marine systems but have yet to be evaluated on a reservoir. The objectives of this study were to evaluate the feasibility of using time‐lapse cameras to assess angling use on a high‐use reservoir and provide methodology for use by fisheries managers. One time‐lapse trail camera was installed at a heavily used boat ramp at Lake Pleasant, a large reservoir located near Phoenix, Arizona, from December 2015 to May 2016. A single observer counted fishing and recreational boats and tracked individual fishing boat trips using a randomized schedule. Camera data were first validated against creel counts conducted in person, and subsequent corrected counts were used to estimate both angling and boating use for the study period. Camera counts were easily corrected using the validation approach and were more cost effective than traditional creel survey methods. Overall, we found that time‐lapse cameras can efficiently and accurately collect angler use data on a high‐use reservoir and thus provide a useful alternative to stand‐alone creel surveys. Creel surveys are the most common angler use survey used by fisheries managers but can be time intensive and expensive to conduct. Time‐lapse cameras have been evaluated as a cost‐efficient alternative to creel surveys on small lakes, streams, and nearshore marine systems but have yet to be evaluated on a reservoir. The objectives of this study were to evaluate the feasibility of using time‐lapse cameras to assess angling use on a high‐use reservoir and provide methodology for use by fisheries managers. One time‐lapse trail camera was installed at a heavily used boat ramp at Lake Pleasant, a large reservoir located near Phoenix, Arizona, from December 2015 to May 2016. A single observer counted fishing and recreational boats and tracked individual fishing boat trips using a randomized schedule. Camera data were first validated against creel counts conducted in person, and subsequent corrected counts were used to estimate both angling and boating use for the study period. Camera counts were easily corrected using the validation approach and were more cost effective than traditional creel survey methods. Overall, we found that time‐lapse cameras can efficiently and accurately collect angler use data on a high‐use reservoir and thus provide a useful alternative to stand‐alone creel surveys.

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Gigapixel big data movies provide cost‐effective seascape scale direct measurements of open‐access coastal human use such as recreational fisheries

Flynn

Lynch

Barrett

et al. 2018

Ecology and Evolution

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Collecting data on unlicensed open‐access coastal activities, such as some types of recreational fishing, has often relied on telephone interviews selected from landline directories. However, this approach is becoming obsolete due to changes in communication technology such as a switch to unlisted mobile phones. Other methods, such as boat ramp interviews, are often impractical due to high labor cost. We trialed an autonomous, ultra‐high‐resolution photosampling method as a cost effect solution for direct measurements of a recreational fishery. Our sequential photosampling was batched processed using a novel software application to produce “big data” time series movies from a spatial subset of the fishery, and we validated this with a regional bus‐route survey and interviews with participants at access points. We also compared labor costs between these two methods. Most trailer boat users were recreational fishers targeting tuna spp. Our camera system closely matched trends in temporal variation from the larger scale regional survey, but as the camera data were at much higher frequency, we could additionally describe strong, daily variability in effort. Peaks were normally associated with weekends, but consecutive weekend tuna fishing competitions led to an anomaly of high effort across the normal weekday lulls. By reducing field time and batch processing imagery, Monthly labor costs for the camera sampling were a quarter of the bus‐route survey; and individual camera samples cost 2.5% of bus route samples to obtain. Gigapixel panoramic camera observations of fishing were representative of the temporal variability of regional fishing effort and could be used to develop a cost‐efficient index. High‐frequency sampling had the added benefit of being more likely to detect abnormal patterns of use. Combinations of remote sensing and on‐site interviews may provide a solution to describing highly variable effort in recreational fisheries while also validating activity and catch.

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Imputing recreational angling effort from time-lapse cameras using an hierarchical Bayesian model

Cited by 35 publications

References 27 publications

Bridging the temporal gap: Continuous and cost-effective monitoring of dynamic recreational fisheries by web cameras and creel surveys

Bridging the temporal gap: Continuous and cost-effective monitoring of dynamic recreational fisheries by web cameras and creel surveys

Evaluating the Efficacy of Using Time‐Lapse Cameras to Assess Angling Use: An Example from a High‐Use Metropolitan Reservoir in Arizona

Gigapixel big data movies provide cost‐effective seascape scale direct measurements of open‐access coastal human use such as recreational fisheries

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