Scale‐ and Context‐Dependent Selection of Recreational Harvest Estimation Methods: The Australasian Experience

Hartill, Bruce; Cryer, Martin; Lyle, JM; Rees, Eugene; Ryan, Karina L.; Steffe, Aldo S.; Taylor, Stephen M.; West, Laurie; Wise, B. S.

doi:10.1080/02755947.2012.661387

Cited by 47 publications

(34 citation statements)

References 16 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%

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%

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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“…; Hartill et al . ). These surveys typically focus on neritic species/stocks under state authority and not Commonwealth‐managed species.…”

Section: Introductionmentioning

confidence: 97%

Integrating recreational fisheries data into stock assessment: implications for model performance and subsequent harvest strategies

Griffiths

Fay

2015

Fisheries Management Eco

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Understanding the impacts of recreational fishing on commercially fished stocks is becoming increasingly relevant for fisheries managers. However, data from recreational fisheries are not commonly included in stock assessments of commercially fished stocks. Simulation models of two assessment methods employed in Australia's Commonwealth fisheries were used to explore how recreational fishery data can be included, and the likely consequences for management. In a data-poor management strategy for blue eye trevalla, Hyperoglyphe antarctica (Carmichael), temporal trends in recreational catch most affected management outcomes. In a data-rich age-structured stock assessment for striped marlin, Kajikia audax (Philippi), estimates of stock status were biased when recreational catches were large or when the recreational fishery targeted different size classes than the commercial fishery and these data were not integrated into the assessment. Including data from recreational fishing can change perceptions of stock status and impact recommendations for harvest strategies and management action. An understanding of recreational fishery dynamics should be prioritised for some species.

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“…Fairclough et al 2014) or through fisheries-independent surveys (e.g. Hartill et al 2012;Hartill and Edwards 2015). Although some agencies routinely conduct recreational fishery surveys (e.g.…”

Section: Introductionmentioning

confidence: 99%

Angler apps as a source of recreational fisheries data: opportunities, challenges and proposed standards

2016

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Recreational fisheries surveys are limited in time and place in many countries. This lack of data limits scientific understanding and sustainable management. Smartphone applications (apps) allow anglers to record the details of their fishing trips and catches. In this study, we describe the opportunities and challenges associated with angler apps as a source of recreational fisheries data, and propose minimum standards for data collection via angler apps. Angler apps are a potentially valuable source of conventional and novel data that are both frequent and extensive, and an opportunity to engage anglers through data sharing and citizen science. Realizing this potential requires that we address significant challenges related to angler recruitment and retention, data quality and bias, and integration with existing fisheries programmes. We propose solutions to each of these challenges. Given that the angler app market is diverse, competitive and unpredictable, we emphasize minimum standards for data collection as a way to ensure large and reliable data sets that can be compared and integrated across apps. These standards relate to trips and catches, and angler demographics and behaviour, and should be supported through consultation and research. Angler apps have the potential to fundamentally change how anglers interact with the resource and with management.

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Scale‐ and Context‐Dependent Selection of Recreational Harvest Estimation Methods: The Australasian Experience

Cited by 47 publications

References 16 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

Integrating recreational fisheries data into stock assessment: implications for model performance and subsequent harvest strategies

Angler apps as a source of recreational fisheries data: opportunities, challenges and proposed standards

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