Use of Risk Analysis to Assess Fishery Management Strategies: A Case Study using Orange Roughy (Hoplostethus atlanticus) on the Chatham Rise, New Zealand

1992 ◽  
Vol 49 (5) ◽  
pp. 922-930 ◽  
Author(s):  
R. I C. C. Francis
Keyword(s):  
New Zealand ◽  
Risk Analysis ◽  
Fishery Management ◽  
Management Strategies ◽  
Scientific Advice ◽  
Orange Roughy ◽  
Biological Risk ◽  
Stock Assessments ◽  
Hoplostethus Atlanticus

Risk analysis can enhance the value of scientific advice to fishery managers by expressing the uncertainty inherent in stock assessments in terms of biological risk. I present a case study involving an overexploited population of orange roughy (Hoplostethus atlanticus) on the Chatham Rise, New Zealand. This analysis quantifies the risk to the fishery and shows how this decreases as the rate of reduction in total allowble catch increases. The technique helps fishery managers balance biological risk against economic risk. Ways of generalizing the technique are discussed.

The cost of overfishing and management strategies for new fisheries on slow-growing fish: orange roughy (Hoplostethus atlanticus) in New Zealand

2006 ◽  
Vol 63 (10) ◽  
pp. 2149-2153 ◽  
Author(s):  
Ray Hilborn ◽  
John Annala ◽  
Daniel S Holland
Keyword(s):  
New Zealand ◽  
Management Strategies ◽  
Maximum Sustainable Yield ◽  
Economic Consequences ◽  
Orange Roughy ◽  
Potential Yield ◽  
Capacity Limits ◽  
Fisheries Resources ◽  
Management Approaches ◽  
Hoplostethus Atlanticus

The history of orange roughy (Hoplostethus atlanticus) stocks, primarily in New Zealand and Australia, is commonly used as an example of the inability to manage fisheries resources. We review the history and status of the New Zealand orange roughy fishery and show that the total loss of potential biological yield from overfishing is no more than 8.3% (1260 tonnes (t)·year–1) of the potential yield. The losses from underfishing are estimated to be 810 t·year–1. We consider the biological and economic consequences of alternative management approaches to the New Zealand orange roughy fishery. We suggest that given the uncertainty in stock abundance and productivity and market and processing capacity limits, the management of New Zealand orange roughy stocks has been close to economically optimal and has produced near maximum sustainable yield from the resource.

Enzyme variation in orange roughy, Hoplostethus atlanticus (Teleostei: Trachichthyidae), from southern Australian and New Zealand waters

1992 ◽  
Vol 43 (6) ◽  
pp. 1561 ◽  
Author(s):  
NG Elliott ◽  
RD Ward
Keyword(s):  
Genetic Diversity ◽  
New Zealand ◽  
Sampling Error ◽  
Genetic Homogeneity ◽  
Gene Frequencies ◽  
Orange Roughy ◽  
Enzyme Variation ◽  
Enzyme Loci ◽  
Total Genetic Diversity ◽  
Hoplostethus Atlanticus

Orange roughy from six localities around the southern coasts of Australia showed no evidence of genetic subdivision when the products of 11 polymorphic enzyme loci were analysed electrophoretically. Samples ranged in size from 84 to 171 per locality. Gene frequencies were very similar in samples taken from New Zealand. The amount of total genetic diversity attributable to subdivision among samples is estimated at 0.55 to 0.22%, but bootstrapping procedures showed that much of this diversity could arise from sampling error. A minimum of around 200 migrants per locality per generation would be sufficient to maintain the observed genetic homogeneity, although actual numbers migrating are likely to be greater than this.

scholarly journals An interactive web-GIS tool for risk analysis: a case study in the Fella River basin, Italy

2016 ◽  
Vol 16 (1) ◽  
pp. 85-101 ◽  
Author(s):  
Z. C. Aye ◽  
M. Jaboyedoff ◽  
M. H. Derron ◽  
C. J. van Westen ◽  
H. Y. Hussin ◽  
...  
Keyword(s):  
Risk Management ◽  
Risk Analysis ◽  
Management Strategies ◽  
Web Gis ◽  
Data Set ◽  
Prototype Development ◽  
Risk Management Strategies ◽  
Northeastern Italy ◽  
Study Sites

Abstract. This paper presents a prototype of an interactive web-GIS tool for risk analysis of natural hazards, in particular for floods and landslides, based on open-source geospatial software and technologies. The aim of the presented tool is to assist the experts (risk managers) in analysing the impacts and consequences of a certain hazard event in a considered region, providing an essential input to the decision-making process in the selection of risk management strategies by responsible authorities and decision makers. This tool is based on the Boundless (OpenGeo Suite) framework and its client-side environment for prototype development, and it is one of the main modules of a web-based collaborative decision support platform in risk management. Within this platform, the users can import necessary maps and information to analyse areas at risk. Based on provided information and parameters, loss scenarios (amount of damages and number of fatalities) of a hazard event are generated on the fly and visualized interactively within the web-GIS interface of the platform. The annualized risk is calculated based on the combination of resultant loss scenarios with different return periods of the hazard event. The application of this developed prototype is demonstrated using a regional data set from one of the case study sites, Fella River of northeastern Italy, of the Marie Curie ITN CHANGES project.

scholarly journals Assessing the relative effects of fishing on the New Zealand marine environment through risk analysis

2007 ◽  
Vol 64 (2) ◽  
pp. 256-270 ◽  
Author(s):  
Marnie L. Campbell ◽  
Charmaine Gallagher
Keyword(s):  
New Zealand ◽  
Risk Analysis ◽  
Marine Environment ◽  
Ecological Impacts ◽  
Analysis Framework ◽  
Orange Roughy ◽  
Data Set ◽  
Management Framework ◽  
Risk Ranking ◽  
Aid Decision

Abstract Campbell, M. L. and Gallagher, C. 2007. Assessing the relative effects of fishing on the New Zealand marine environment through risk analysis – ICES Journal of Marine Science, 64: 256–270. Risk analysis is a tool often used by management to aid decision-making. We present a risk-analysis framework that was developed to facilitate managing New Zealand fisheries. Using catch-effort and observer data, the likelihood that a certain fishery will impact upon five effects of fishing (EoF) issues (non-target species, biodiversity, habitat, trophic interactions, and legislated protected species) is determined. The consequences (impact and/or change) of such events are then determined to determine a relative risk ranking across fisheries. Consequence matrices were developed to assess each of the five EoF categories. To illustrate the model, a 13-y data set of New Zealand fisheries catch-effort and observer data was analysed, using orange roughy (Hoplostethus atlanticus) as an example fishery. The New Zealand fisheries management framework follows a traditional model in which socio-political imperatives are determined (through risk assessment) after ecological impacts are assessed. By maintaining separation between ecological and socio-political imperatives, a transparent and objective framework is established.

scholarly journals Climate change and non-stationary population processes in fisheries management

2016 ◽  
Vol 73 (5) ◽  
pp. 1297-1305 ◽  
Author(s):  
Cody S. Szuwalski ◽  
Anne B. Hollowed
Keyword(s):  
Climate Change ◽  
Fishery Management ◽  
Management Strategies ◽  
Cost Benefit ◽  
Stationary Population ◽  
Stock Assessments ◽  
Potential Benefits ◽  
Population Processes ◽  
Benefits And Costs ◽  
Spawning Biomass

Abstract The potential influence of climate change on the future distribution and abundance of fish (and therefore commercial fisheries and food security) is increasingly recognized in the fishery management community. A changing climate will likely have differing effects on different species; some will flourish, some will flounder. Management targets for fishing mortality and spawning biomass are often calculated by assuming stationary population processes, but under climate change, this assumption may be violated. Non-stationary population processes can introduce bias into estimates of biomass from stock assessments and calculations of target fishing mortalities and biomasses. However, few accepted frameworks exist for incorporating the changing influence of the environment on exploited populations into management strategies. Identifying changes in population processes due to environmental influences is important in order to enable climate-enhanced management strategy evaluations to elucidate the potential benefits and costs of changing management targets. Cost/benefit analyses will also be useful when coincidentally caught species respond differently to environmental change.

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