Integrating size-structured assessment and bioeconomic management advice in Australia's northern prawn fishery

Punt, André E.; Deng, Roy A.; Dichmont, Catherine M.; Kompas, Tom; Venables, W. N.; Zhou, Shijie; Pascoe, Sean; Hutton, Trevor; Kenyon, Rob; Velde, Tonya van der; Kienzle, Marco

doi:10.1093/icesjms/fsq037

Cited by 57 publications

(57 citation statements)

References 26 publications

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“…The bio-economic model developed here synthesizes, in a single model, previous modelling works by Dichmont et al (2003Dichmont et al ( , 2008 and Punt et al (2010Punt et al ( , 2011 on the NPF, and extends it by integrating the more variable banana prawn resource. The model is based on recent developments in mixed fisheries bio-economic modelling .…”

Section: Bio-economic Modelmentioning

confidence: 99%

“…The population dynamics of grooved and brown tiger prawns (species s = 1 and 2, respectively) and blue endeavour prawns (s=3) are based on a sex-and size-structured model relying on a weekly time-step as presented in Punt et al (2010) and summarized by equation (1):…”

Section: Bio-economic Modelmentioning

confidence: 99%

“…F s (t) is the matrix of fishing mortality F s,l (t) of animals of species s and size-class l at time t. Details on fishing mortality are given in AppendixA.1. The dynamic function g s accounts for species recruitment and mortality mechanisms of species s as detailed in Punt et al (2010). Recruits in the fishery for species s = 1, 2, 3 during a 'biological' year are assumed to be related to the spawning stock size index of species s for the previous year, according to a Ricker stock-recruitment relationship fitted assuming temporally correlated environmental variability and down-weighting recruitments, as described in Punt et al (2010) and Punt et al (2011).…”

Section: Bio-economic Modelmentioning

confidence: 99%

“…S el s,l is the selectivity of the fishing gear on animals of species s in size-class l as described in Punt et al (2010).…”

Section: Appendixa1 Fishing Mortalitymentioning

confidence: 99%

“…Dichmont et al (2003) and Punt et al (2010) describe the approaches used to estimate parameter values for the dynamic population models. The impact of parameter uncertainty was explored in Punt et al (2010).…”

Section: Appendixa1 Fishing Mortalitymentioning

confidence: 99%

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Risk versus economic performance in a mixed fishery

Gourguet

Thébaud

Dichmont

et al. 2014

Ecological Economics

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:Balancing bio-economic risks and high profit expectations is often a major concern in fisheries management. We examine this trade-off in the context of the Australian Northern Prawn Fishery (NPF). The fishery derives its revenue from different prawn species with different dynamics and recruitment processes. A multi-species bio-economic and stochastic model is used to examine the trade-offs between mean profitability of the fishery and its variance, under a range of economic scenarios, fishing capacities and distributions of fishing effort across the various sub-fisheries that comprise the NPF. Simulation results show that the current fishing strategy diversifying catch across sub-components of the fishery entails a compromise between expected performance and risk. Furthermore, given the current economic conditions, increases in fleet size would improve the expected economic performance of the fishery, but at the cost of increased variability of this performance. Highlights►Balancing economic returns and their variability is a concern in fisheries management. ►Nature of this trade-off is examined for the Australian Northern Prawn Fishery. ►Analyses are based on a multispecies stochastic bio-economic model. ►Fishing effort is allocated between predictable and highly fluctuating components. ►Current effort strategy appears as a compromise between average performance and risk.

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Section: Bio-economic Modelmentioning

confidence: 99%

Section: Bio-economic Modelmentioning

confidence: 99%

Section: Bio-economic Modelmentioning

confidence: 99%

“…S el s,l is the selectivity of the fishing gear on animals of species s in size-class l as described in Punt et al (2010).…”

Section: Appendixa1 Fishing Mortalitymentioning

confidence: 99%

Section: Appendixa1 Fishing Mortalitymentioning

confidence: 99%

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Risk versus economic performance in a mixed fishery

Gourguet

Thébaud

Dichmont

et al. 2014

Ecological Economics

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Incorporating Batch Mark–Recapture Data into an Integrated Population Model of Brown Trout

Doll

Wood

Goodfred

et al. 2021

N American J Fish Manag

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Brown Trout Salmo trutta are a popular sport fish, and numerous populations that are unable to successfully reproduce are maintained with supplemental stockings in waters with habitat that can support individual survival (e.g., appropriate thermal refuge). Long-term management of these populations requires understanding of their population dynamics to determine harvest restrictions and stocking rates. The objective of this research was to describe population dynamics of a tailrace Brown Trout fishery using an integrated population model (IPM) that incorporates monitoring data and low-cost batch mark-recapture data. Further, we evaluated the relationship between water temperature and survival. We hypothesized that annual survival would be lower at high water temperature. Additionally, we used the IPM to project the Brown Trout population based on two different management scenarios (no minimum length limit with seven-fish bag limit and 356-mm-TL minimum length limit with two-fish bag limit). Management outcomes explored include total population size, age frequencies, and length indices. The results of this study suggested that recreational harvest and water temperature were the two main factors influencing the Brown Trout population. Water temperature was found to be a major factor in determining survival of Brown Trout. Simulations under various minimum length limits indicated the minimum length limit of 356 mm TL and a two-fish bag limit will substantially increase the population size but with a reduction in length indices. Integrated population models have been applied historically to large systems with significant amounts of data. Estimates of survival and detection are important components of an IPM; to our knowledge, the IPM used here is the first to integrate batch mark-recapture data to estimate these key parameters. The data and modeling approach used here demonstrate the value of using novel statistical methods to make the most efficient use of low-cost survey data.Having been introduced outside of their native range, Brown Trout Salmo trutta are a popular sport fish throughout the world. They are not native to the Appalachian Mountains, but numerous fishable populations are sustained via supplemental stockings in streams that provide appropriate habitat. The coolwater and coldwater discharges from dams provide the unique habitat Brown Trout require to survive and, in some cases, successfully reproduce. The importance of these fisheries to the public has been evaluated by several states, and it was determined that southeastern trout anglers target these resources frequently and generate significant economic

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The Cost of Co-viability in the Australian Northern Prawn Fishery

Gourguet

Thébaud

Jennings

et al. 2015

Environ Model Assess

Self Cite

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Fisheries management must address multiple, often conflicting objectives in a highly uncertain context. In particular, while the bio-economic performance of trawl fisheries is subject to high levels of biological and economic uncertainty, the impact of trawling on broader biodiversity is also a major concern for their management. The purpose of this study is to propose an analytical framework to formally assess the trade-offs associated with balancing biological, economic and non-target species conservation objectives. We use the Australian Northern Prawn Fishery (NPF), which is one of the most valuable federally managed commercial fisheries in Australia, as a case study. We develop a stochastic co-viability assessment of the fishery under multiple management objectives. Results show that, due to the variability in the interactions between the fishery and the ecosystem, current management strategies are characterized by biological and economic risks. Results highlight the trade-offs between respecting biological, economic and non-target species conservation constraints at each point in time with a high probability and maximizing the net present value of the fishery.

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Integrating size-structured assessment and bioeconomic management advice in Australia's northern prawn fishery

Cited by 57 publications

References 26 publications

Risk versus economic performance in a mixed fishery

Risk versus economic performance in a mixed fishery

Incorporating Batch Mark–Recapture Data into an Integrated Population Model of Brown Trout

The Cost of Co-viability in the Australian Northern Prawn Fishery

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