Comparison of Creel Survey Methods on Missouri River Reservoirs

Soupir, Craig A.; Brown, Michael L.; Stone, Cliff C.; Lott, John P.

doi:10.1577/m04-148.1

Cited by 21 publications

(10 citation statements)

References 12 publications

(15 reference statements)

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“…Zarauz et al 2015) and reporting bias (e.g. Thompson and Hubert 1990;Soupir et al 2006;Griffiths et al 2013). As with any form of data collection, the challenge in working with angler apps is to identify data issues, minimize the prevalence of these issues by addressing their cause and mitigate the impact of persistent issues through data processing and analysis.…”

Section: Data Quality and Biasmentioning

confidence: 99%

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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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Section: Data Quality and Biasmentioning

confidence: 99%

“…Studies of this nature are common in both citizen science (reviewed by Lewandowski and Specht 2015) and fisheries science (e.g. Thompson and Hubert 1990;Soupir et al 2006;Griffiths et al 2013). The literature on angler logbooks (e.g.…”

Section: Data Quality and Biasmentioning

confidence: 99%

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

2016

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“…For sampling purposes, each region was divided into a number of strata. To account for the possible influence of day of the week on angling effort (Soupir et al 2006), sampling was temporally stratified so that angler counts were conducted on three randomly selected week days and both weekend days in each region. On each sampling day, all anglers in each stratum were counted twice (morning and afternoon).…”

Section: Effort Estimationmentioning

confidence: 99%

Estimating angling effort and participation in a multi‐user, inland fishery in South Africa

Ellender¹,

Weyl²,

Winker³

et al. 2010

Fisheries Management Eco

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Angler counts, on-lake interviews and a household survey were used to estimate angler effort and participation in Lake Gariep, South AfricaÕs largest inland water body. Annual fishing effort was estimated from instantaneous counts at 16392 angler day )1 yr )1 . Recreational and subsistence anglers contributed 41 and 59% to the total annual fishing effort, respectively. Household surveys in lakeshore settlements estimated that ‡914 anglers fished the lake and minimum daily fishing effort in one of the fishing areas assessed was 77 anglers. As a result of recall bias, these estimates were almost twice as high as those determined by direct counts. A low cost method of assessing participation by applying a mark-recapture model to the proportion of anglers whom had been previously interviewed during eight bimonthly sampling events was tested. The model converged in three of four applications (2 areas · 2 sectors). The mark-recapture method revealed similar numbers of anglers to the estimate of regular anglers (fishing 1-3 times a week) from the household survey and was considered an appropriate estimator for the number of subsistence anglers. Regardless of the assessment method the results show that the resource is of importance to subsistence livelihoods, which is an important management consideration in future fisheries development and rights allocation processes. K E Y W O R D S : Lake Gariep, mark-recapture, recreational, subsistence.

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“…Spatial layout and waterbody size can affect a clerk's ability to interview and accurately count anglers, which would affect the accuracy and precision of estimates of effort and catch. Numerous researchers have investigated the complexities associated with conducting creel surveys on large (>10,000 ha) waterbodies (e.g., Soupir et al, 2006;McGlennon and Kinloch, 1997;Smucker et al, 2010). Large waterbodies, which are best sampled using a ''bus route" approach (Robson and Jones, 1989; 2011; Martin, 2013).…”

Section: Introductionmentioning

confidence: 99%

Angler effort and catch within a spatially complex system of small lakes

et al. 2014

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a b s t r a c tSpatial layout of waterbodies and waterbody size can affect a creel clerk's ability to intercept anglers for interviews and to accurately count anglers, which will affect the accuracy and precision of estimates of effort and catch. This study aimed to quantify angling effort and catch across a spatially complex system of 19 small (<100 ha) lakes, the Fremont lakes. Total (±SE) angling effort (hours) on individual lakes ranged from 0 (0) to 7,137 (305). Bank anglers utilized 18 of the 19 lakes, and their mean (±SE) trip lengths (hours) ranged from 0.80 (0.31) to 7.75 (6.75), depending on the waterbody. In contrast, boat anglers utilized 14 of the 19 lakes, and their trip lengths ranged from 1.39 (0.24) to 4.25 (0.71), depending on the waterbody. The most sought fishes, as indexed by number of lakes on which effort was exerted, were anything (17 of 19 lakes), largemouth bass Micropterus salmoides (15 of 19 lakes), and channel catfish Ictalurus punctatus (13 of 19 lakes). Bluegill Lepomis machrochirus, crappie Pomoxis spp., and largemouth bass were caught most frequently across the lakes, but catch rates varied considerably by lake. Of the 1,138 parties interviewed, most parties (93%) visited a single lake but there were 77 (7%) parties that indicated that they had visited multiple lakes during a single day. The contingent of parties that visited more than one lake a day were primarily (87%) bank anglers.. The number of lake-to-lake connections made by anglers visiting more than one waterbody during a single day was related to catch rates and total angling effort. The greater resolution that was achieved with a lake specific creel survey at Fremont lakes revealed a system of lakes with a large degree of spatial variation in angler effort and catch that would be missed by a coarser, system-wide survey that did not differentiate individual lakes.

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Comparison of Creel Survey Methods on Missouri River Reservoirs

Cited by 21 publications

References 12 publications

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

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

Estimating angling effort and participation in a multi‐user, inland fishery in South Africa

Angler effort and catch within a spatially complex system of small lakes

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