Optimal Harvesting Policies Threaten Biodiversity in Mixed Fisheries

Tromeur, Eric; Doyen, Luc

doi:10.1007/s10666-018-9618-2

Cited by 24 publications

(25 citation statements)

References 51 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Moreover, license control, a dominant fisheries management strategy in the Global South, represents a special form of effort regulation. In these fisheries, a total number of licenses is specified, often in combination with other measures such as seasonal fishing bans (FAO, 2009;Shen and Heino, 2014;Tromeur and Doyen, 2018). The fishing days system in the Faroe Islands is one of the most studied examples of effort regulation (Jákupsstovu et al, 2007;Baudron et al, 2010;Danielsen and Agnarsson, 2018).…”

Section: Introductionmentioning

confidence: 99%

“…The key factors affecting fishers' targeting decision in mixed-fisheries have previously been studied piece by piece; for example, Katsukawa and Matsuda (2003) focused on the effect of non-linear catchability, Noailly et al (2003) on the effect of price on switching harvest strategies, and Tromeur and Doyen (2018) on the effect of technical interactions.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Evaluating effort regulation in mixed fisheries: a Monte Carlo approach

Liu

Heino

2019

ICES Journal of Marine Science

View full text Add to dashboard Cite

This paper evaluates whether effort regulation could achieve the goal of protecting low-abundance species in mixed fisheries. We construct a two-species bio-economic model and compare the stock abundance ratio in the end of the fishing season with the ratio prior to the fishing. Fishers’ profit maximization problem is governed by three key factors: (i) the overall efficiency of catching different species (catchability), (ii) the price of different species, and (iii) their ability to catch the favoured species separately from the less-favoured species (separability). Using a Monte Carlo sampling of feasible parameters space, we show that effort regulation has good chances (87% of the cases) of maintaining the end stock ratio near equal levels (1/2< stock ratio <2) when the initial stock ratio is equal. If the initial stock ratio is not equal, however, there is a high risk (about 50% of the cases) that effort control increases differences in the relative species abundances, rather than diminishing them. The effects depend on whether the key factors determining fishing profitability are counteracting or reinforcing each other, and their relative strength. Our results warn against placing too much faith on the ability of effort regulation to protect species at low abundances from excessive exploitation.

show abstract

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Evaluating effort regulation in mixed fisheries: a Monte Carlo approach

Liu

Heino

2019

ICES Journal of Marine Science

View full text Add to dashboard Cite

show abstract

“…However, complexities not only occur in the form of multiple objectives; the natural systems themselves are often governed by many nonlinear interactions that can also make resource management problems mathematically challenging. Such complexities are considered in [27], where the authors illustrate optimal harvest strategies for several interacting fish species governed by complex, dynamic, multispecies ecosystem models.Populations of species that we need to manage are often heavily influenced by species interactions, and while Tromeur and Doyen [27] provides methods for incorporating these into decision-making, we still do not fully understand the rich phenomena such types of complex mathematical models can expose. In [28,29], the authors emphasise the role of mutualism (positive species interactions) and mixotrophy (organisms that use multiple sources of energy and carbon) to understand species population dynamics.…”

mentioning

confidence: 99%

mentioning

confidence: 99%

“…Populations of species that we need to manage are often heavily influenced by species interactions, and while Tromeur and Doyen [27] provides methods for incorporating these into decision-making, we still do not fully understand the rich phenomena such types of complex mathematical models can expose. In [28,29], the authors emphasise the role of mutualism (positive species interactions) and mixotrophy (organisms that use multiple sources of energy and carbon) to understand species population dynamics.…”

mentioning

confidence: 99%

See 1 more Smart Citation

Foreword to the Special Issue on Natural Resource Mathematics

Holden

Lee

Yang

2019

Environ Model Assess

View full text Add to dashboard Cite

The sustainable management of our planet's natural resources is perhaps the greatest problem of this century. Many millennia ago, Homo sapiens roamed the earth as part of a balanced ecosystem. However, with the onset of agriculture and, much more recently, industrialisation, we are now exploiting our natural resources at unprecedented rates. Every minute, nearly ten football pitches worth of forest are destroyed for forestry and the production of food and commodities to satisfy a growing population [1]. Many of our fish stocks are declining, and environmental disturbances are on the rise due to human-caused climate change [2]. Arguably, we have realised that much of our consumption is unsustainable, yet balancing sustainable resource use and a healthy environment, while still providing eight billion people with economic opportunities and adequate lifestyles is challenging.From optimisation to dynamic modelling to data analysis, mathematics, nowadays, plays a central role in tackling this grand challenge. It is this recognition that led to the "Workshop on Natural Resource Mathematics" held at the University of Queensland in 2017, and would later seed this special issue of the Journal of Environmental Modeling and Assessment. Topics at the workshop highlighted both a wide range of natural resource management problems and the various kinds of mathematics used to tackle them. The main theme running through all the talks was balancing sustainable use of natural resources while simultaneously reducing threats to the environment, such as overexploitation, climate change, habitat disturbance, and invasive species [3][4][5][6][7][8][9][10][11][12]. Along the way, we were exposed to several new developments in ecological theory and new methodologies in optimisation, control, dynamical systems, and statistics [13][14][15][16][17][18][19][20][21][22][23][24].Among the important works presented were several new findings yet to make their way into the literature, and hence, we decided a special issue in Environmental Modeling and Assessment could provide an ideal venue to highlight them. These were complemented by selected submissions to the journal that best fitted with the former. In the workshop itself, three subthemes naturally arose. The first addressed the optimal management of natural resources given extreme system complexity and uncertainty. In the first paper [25] of this issue, the authors present the problem of managing wildfires with controlled burns to not only protect the environment but also limit accumulating fuel load that can spark massive wildfires with major economic consequences. The work is representative of the types of competing objectives one must often consider in nearly all natural resource management problems. From fires to fisheries, the authors in [26] consider managers facing multiple objectives by presenting a framework for incorporating social objectives in fishery harvest decisions. However, complexities not only occur in the form of multiple objectives; the natural systems themselves are oft...

show abstract

Fishing and Overfishing-Sustainable Harvest of the Sea

Rossi

2022

SDG 14: Life Below Water

View full text Add to dashboard Cite

Optimal Harvesting Policies Threaten Biodiversity in Mixed Fisheries

Cited by 24 publications

References 51 publications

Evaluating effort regulation in mixed fisheries: a Monte Carlo approach

Evaluating effort regulation in mixed fisheries: a Monte Carlo approach

Foreword to the Special Issue on Natural Resource Mathematics

Fishing and Overfishing-Sustainable Harvest of the Sea

Contact Info

Product

Resources

About