Irish coarse and game anglers’ preferences for fishing site attributes

Curtis, John; Breen, Benjamin

doi:10.1016/j.fishres.2017.01.016

Cited by 19 publications

(16 citation statements)

References 41 publications

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“…Our study relied on anglers' travel time serving as a scarce resource because we lacked measures of total trip costs or willingness to pay, but the effect of travel time is not always linear nor directly related to leisure costs (Hunt et al, ). Nonetheless, travel times had strong negative effects on site choice consistent with findings across other fisheries (Camp et al, ; Curtis & Breen, ; Hunt et al, ). Some angler preferences varied with trip context, for example anglers on day trips fished closer to their origin than anglers on multi‐day trips (Hunt et al, ).…”

Section: Discussionsupporting

confidence: 82%

Social–ecological feedbacks drive spatial exploitation in a northern freshwater fishery: A halo of depletion

Wilson

Foos

Barker

et al. 2020

Journal of Applied Ecology

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1. Freshwater fisheries are complex social-ecological systems spatially structured by coupled feedbacks between people and nature. Spatial exploitation dynamics depend on angler preferences for multiple attributes that influence their site choices.Anglers then reciprocally impact local fish populations through size-selective catch and harvest. Thus, feedbacks among angler site choices, their capture efficiency (i.e. catchability) and fish population dynamics permeate through whole landscapes.2. We studied the coupled feedbacks and effects of spatial exploitation in an iconic northern freshwater fishery of conservation concern. Specifically, we evaluated several coupled feedbacks in the spatially structured Yukon lake trout fishery using a Bayesian multinomial choice model fitted to onsite interviews and fishery-independent population assessments to identify whether: (a) trip context (day vs. multi-day trips) shaped angler preferences and site choices, (b) catch-based quality was influenced by a sizenumbers trade-off and density-dependent catchability and (c) fish population structure was associated with the gravity of resource usage resulting from spatial exploitation.3. Overall, we found that angler site choices were shaped by preferences for multiple characteristics including travel time and catch-based quality. Angler preferences also varied with trip contexts-for example, anglers on day trips were less willing to travel than anglers on multi-day trips. We detected strong density-dependent catchability, which led to hyperstable catches and relatively few anglers dominated most of the catch.4. There was a strong demographic trade-off between lake trout body size and abundance that appeared to dynamically interact with anglers' size-selective preferences for larger lake trout. Coupled feedbacks among angler site choices, sizeselective and hyperstable catches, and density-dependent growth and survival appeared to structure spatial exploitation patterns leading to a halo of depletion in fish body sizes and fishing quality near urban centres. Synthesis and applications.Feedbacks between fish and anglers affected spatial exploitation patterns leading to a halo of depletion in Yukon lake trout. We recommend | 207Journal of Applied Ecology WILSON et aL.

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Section: Discussionsupporting

confidence: 82%

Social–ecological feedbacks drive spatial exploitation in a northern freshwater fishery: A halo of depletion

Wilson

Foos

Barker

et al. 2020

Journal of Applied Ecology

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“…Bass anglers are quite price sensitive; a one-percent change in trip costs diminishes number of bass fishing days by approximately 0.15 percent, ceteris paribus. This is in line with several previous elasticity estimates for angling in Ireland, though these are the first estimates specifically for sea bass angling (Curtis, 2002;Curtis and Stanley, 2016;Curtis and Breen, 2017). The price elasticity for sea angling from Hynes et al (2017) is an exception, where the implied elasticity is -0.6.…”

Section: Econometric Modelssupporting

confidence: 90%

Sea Bass Angling in Ireland: A Structural Equation Model of Catch and Effort

Grilli

Curtis

Hynes

et al. 2018

Ecological Economics

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Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. Abstract: The relationship between angling effort and catch is well-recognised, in particular that effort influences catch rates. But increased catch, which can be considered an attribute of fishery quality, may influence effort in terms of number of fishing trips. This suggests bi-directional feedback between catch and effort. In many travel cost applications little attention has been given to this endogeneity problem. In this paper we expand the application of structural equation models to address this issue by jointly estimating demand (effort) and catch functions. Using a cross-section dataset of sea bass anglers we propose two separate joint models. First, we include expected catch as an explanatory variable in the demand equation. In the second, we reverse the causality and use the expected number of fishing days as a covariate in the catch function. The two approaches produce similar model estimates, and perform better at predicting anglers' catch and effort than standard models. The findings confirm that 'catch & release' does not curtail fishing activity and that sea bass angling is highly valued. Furthermore higher catches result more days fished, on average in a 2:1 ratio. Whereas on average, an additional fishing day results in 3-4 additional bass caught. Terms of use: Documents in

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“…Some contributions focused on ecological studies of pike and trout stocks (Mann, 1985), while others focused on understanding angler preferences for pike stock control policies (Curtis, 2018), none has considered the differences in pike and trout angler demand preferences. Studies on economic assessment of multiple species (Greene, Moss, & Spreen, 1997; Haab, Hicks, Schnier, & Whitehead, 2012; Shrestha, Seidl, & Moraes, 2002) or differences between game and coarse angling (Curtis & Breen, 2017) are available in the literature, but this paper specifically estimates demand preferences in a mixed pike trout fishery in Ireland.…”

Section: Introductionmentioning

confidence: 99%

Recreational angling demand in a mixed resource fishery

Grilli

Mukhopadhyay

Curtis

et al. 2020

Fisheries Management Eco

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Several large Irish lake fisheries target both pike Esox lucius L. and brown trout Salmo trutta L. Due to predation on trout, pike stocks are actively managed in several locations with the objective of enhancing the trout fishery, which is a policy strongly supported by some trout anglers but intensely opposed by pike anglers. There is a dearth of economic knowledge to support management decisions concerning these mixed resource fisheries. This paper addresses some of that knowledge gap, investigating factors affecting angling recreational demand within these mixed resource fisheries and whether there are significant differences between pike and brown trout anglers. A travel cost model was used to estimate and test whether pike and trout anglers have different demand preferences. The substantive policy‐relevant finding relates not to differences associated with target species but to angling club membership. Angling club members are more price inelastic in their demand and particularly so in the case of trout anglers.

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Irish coarse and game anglers’ preferences for fishing site attributes

Cited by 19 publications

References 41 publications

Social–ecological feedbacks drive spatial exploitation in a northern freshwater fishery: A halo of depletion

Social–ecological feedbacks drive spatial exploitation in a northern freshwater fishery: A halo of depletion

Sea Bass Angling in Ireland: A Structural Equation Model of Catch and Effort

Recreational angling demand in a mixed resource fishery

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