Abstract:Trout are often popular target species for anglers worldwide and have been the most commonly stocked game fish species in the USA. Using survey data collected at Colorado's stocked public reservoirs in 2009, we found that trout anglers’ net economic benefits were more than twice those of anglers fishing for species other than trout. Values estimated from the travel cost method produced angler‐day consumer surpluses (willingness to pay [WTP]) of US$191.60 for trout anglers and $61.68 for nontrout anglers. Based… Show more
“…Overall, we found that Chinook Salmon, Coho Salmon, and steelhead are the most valuable fish to Great Lakes anglers in Michigan. Trout and salmon fisheries are known to be popular among recreational anglers (Loomis and Ng 2012), and prior studies have identified Coho Salmon, followed by steelhead and Chinook Salmon, as the most valuable fish in the Great Lakes (Johnston et al 2006). Our results also indicate that these are the most valuable species, although we consistently estimated Chinook Salmon as being more valuable than Coho Salmon, which may reflect changing preferences among Great Lakes anglers.…”
We estimated a pair of models to characterize the demand for Great Lakes recreational fishing in Michigan. With a nested logit framework, the models tested whether anglers have an unobserved tendency to substitute between fishing sites based on target species or lake-specific preferences. Results indicated that anglers tend to substitute more readily between sites within a lake, although we found that the choice of model did not qualitatively influence measures of nonmarket value. Both models predicted that the fishing destinations of anglers would be strongly influenced by catch rates. Using these results, we estimated the sportfishing value for several fish species and found that anglers have the highest willingness to pay for Chinook Salmon Oncorhynchus tshawytscha, Coho Salmon O. kisutch, steelhead O. mykiss, and Walleyes Sander vitreus. We also derived the access values of Michigan's coastal fishing sites and determined that day trips to a typical Great Lake site are worth about $30 per trip.Efficient fisheries management requires the consideration of different values. In the Great Lakes region, both commercial fishing and recreational fishing are important sources of economic benefits. Although the value of commercial fisheries can be determined from observed market prices, alternative techniques are required to calculate the value of recreational fisheries. One valuation approach, the random utility maximization (RUM) model and travel cost method, uses observed behavior to estimate the value of goods or activities that are not traded in traditional markets, such as sportfishing. The RUM models are capable of valuing changes in the quality of activities and are especially useful for valuing recreational activities that take place at many similar-that is, substitutable-sites. These models are therefore well suited for use in the valuation of recreational fishing in the Great Lakes.The literature on Great Lakes recreational fisheries valuation dates to Daniel Talhelm (Talhelm et al. 1979;Talhelm and Bishop 1980), who used both market and nonmarket valuation methods to derive the access values for Great Lakes sportfishing
“…Overall, we found that Chinook Salmon, Coho Salmon, and steelhead are the most valuable fish to Great Lakes anglers in Michigan. Trout and salmon fisheries are known to be popular among recreational anglers (Loomis and Ng 2012), and prior studies have identified Coho Salmon, followed by steelhead and Chinook Salmon, as the most valuable fish in the Great Lakes (Johnston et al 2006). Our results also indicate that these are the most valuable species, although we consistently estimated Chinook Salmon as being more valuable than Coho Salmon, which may reflect changing preferences among Great Lakes anglers.…”
We estimated a pair of models to characterize the demand for Great Lakes recreational fishing in Michigan. With a nested logit framework, the models tested whether anglers have an unobserved tendency to substitute between fishing sites based on target species or lake-specific preferences. Results indicated that anglers tend to substitute more readily between sites within a lake, although we found that the choice of model did not qualitatively influence measures of nonmarket value. Both models predicted that the fishing destinations of anglers would be strongly influenced by catch rates. Using these results, we estimated the sportfishing value for several fish species and found that anglers have the highest willingness to pay for Chinook Salmon Oncorhynchus tshawytscha, Coho Salmon O. kisutch, steelhead O. mykiss, and Walleyes Sander vitreus. We also derived the access values of Michigan's coastal fishing sites and determined that day trips to a typical Great Lake site are worth about $30 per trip.Efficient fisheries management requires the consideration of different values. In the Great Lakes region, both commercial fishing and recreational fishing are important sources of economic benefits. Although the value of commercial fisheries can be determined from observed market prices, alternative techniques are required to calculate the value of recreational fisheries. One valuation approach, the random utility maximization (RUM) model and travel cost method, uses observed behavior to estimate the value of goods or activities that are not traded in traditional markets, such as sportfishing. The RUM models are capable of valuing changes in the quality of activities and are especially useful for valuing recreational activities that take place at many similar-that is, substitutable-sites. These models are therefore well suited for use in the valuation of recreational fishing in the Great Lakes.The literature on Great Lakes recreational fisheries valuation dates to Daniel Talhelm (Talhelm et al. 1979;Talhelm and Bishop 1980), who used both market and nonmarket valuation methods to derive the access values for Great Lakes sportfishing
“…This is clearly described by Weiler (2006), Prayaga et al (2006), Taylor, Mckean, & Johnson (2010), Mckean, Johnson, & Taylor (2012), and Hendarto, Al-Hasan, Yumantoko, & Nur (2018). Consequently, this study eliminates time cost from the model, which is similar to the study conducted by Prayaga et al (2006) and Loomis & Ng (2012).…”
Good knowledge on economic value of a particular tourist destination is primarily fundamental for effective management policy formulation. In 2015, Aik Nyet Nature Tourism, which covers an area of approximately 9.08 hectare, is one of tourist destinations planned to receive donation from Provincial Government of West Nusa Tenggara (Pemprov NTB) for its improvement and development of facilities, infrastructures as well as capacity building for people around the tourism location. Using travel cost method, this study estimates consumers' surplus and economic benefits of recreational value in Aik Nyet before the realization of donation from Pemprov NTB. Consumers' surplus per individual per visit is estimated using data collected from survey. Data were collected by means of self-administered, paper-based questionnaire completed on-site during weekend and national holiday of August to October 2015. Using poisson regression, the travel costs (transportation cost, consumption cost, and location paid entrance fee) were considered in the study to explain the frequency of individual's visit to the tourist location. Results of the study show that that consumer surplus obtained by visitors is Rp2,557.158 per visit per individual and the economic recreational value before the realization of the government's financial support is approximately Rp9,333,627.70 per year.
“…The magnitude of Northern Pike predation influences salmonid management initiatives and is likely a primary factor contributing to reduced Rainbow Trout abundance and return to anglers. Efforts to reduce costs by eliminating Rainbow Trout stocking could have negative impacts on angler satisfaction (Loomis and Ng 2012) and may have unintended consequences for other salmonids (i.e., Lake Trout) in Pactola Reservoir (Scheibel 2015). For instance, in the absence of Rainbow Trout, there could be increased competition for Rainbow Smelt between Lake Trout and Northern Pike, as Northern Pike would likely consume Rainbow Smelt in the absence of Rainbow Trout (Beyerle and Williams 1968;Wahl and Stein 1988;Sepulveda et al 2013).…”
Establishment of nonnative Northern Pike Esox lucius in Pactola Reservoir, South Dakota, has prompted concern among biologists about the influence of this species on the lake's intensively managed salmonid fisheries. Ancedotal information suggests that catch rates of Rainbow Trout Oncorhynchus mykiss have declined while mean size and abundance of Northern Pike has increased, although quantitative information on diet and growth of the Northern Pike population is lacking. To address potential interactions between Northern Pike and Rainbow Trout, we assessed size‐dependent predation by Northern Pike on Rainbow Trout and determined the relative energetic contribution of stocked Rainbow Trout to Northern Pike growth using bioenergetics modeling. Stable isotopes combined with traditional diet analyses revealed that smaller Northern Pike (<600 mm TL) consumed primarily centrarchids and Rainbow Smelt Osmerus mordax, and Rainbow Trout contributed less than 10% to their annual energy consumption. In contrast, larger Northern Pike (≥600 mm TL) consumed primarily Rainbow Trout, which accounted for 56% of their annual energy consumption. Combining estimates of Northern Pike predation with production costs of catchable‐size Rainbow Trout revealed that annual economic losses ranged from US$15,259 to $24,801 per year. Over its lifespan, an age‐10 Northern Pike was estimated to consume ~117 Rainbow Trout worth approximately $340. Thus, Northern Pike predation substantially influences salmonid management initiatives and is likely a primary factor contributing to reduced Rainbow Trout abundance and return to anglers in Pactola Reservoir. Strategies for reducing Northern Pike predation on Rainbow Trout include increasing the size of stocked fish or altering the timing and spatial distribution of stocking events.
Received June 5, 2015; accepted November 2, 2015 Published online March 8, 2016
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