Biosecurity, Trade Liberalisation, and the (anti)Politics of Risk Analysis: The Australia-New Zealand Apples Dispute

2011 ◽  
Vol 43 (2) ◽  
pp. 393-409 ◽  
Author(s):  
Vaughan Higgins ◽  
Jacqui Dibden
Keyword(s):  
New Zealand ◽  
Risk Analysis ◽  
Trade Liberalisation

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.

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 The evolution of Risk from Landslides: Concepts and Applications for Communities in New Zealand

2021 ◽  
Author(s):  
◽  
Gabriele Hufschmidt
Keyword(s):  
At Risk ◽  
New Zealand ◽  
Risk Analysis ◽  
Adverse Effects ◽  
Social Vulnerability ◽  
Landslide Hazard ◽  
Social Resilience ◽  
Absolute Level ◽  
Risk Levels ◽  
Elements At Risk

<p>The aim of this research is to identify temporal changes of risk from landsliding for several locations in New Zealand (the Western Hutt Hills, close to Wellington; Te Arai, close to Gisborne; Mt.Cook/Aoraki Village, South Island). While risk analysis usually targets a particular point in time, this research includes several five-year intervals (based on census years) starting in 1981 until 2006. The scale of this analysis is the community level. Risk is not expressed as an absolute level of loss, for example a dollar value or the number of fatalities. Risk is rather considered as the probability and extent of adverse effects on a community inferred from landsliding. As such, risk is relative: the aim is to quantify risk for a community relative to another point in time, and relative to other communities. In addition, the degree to which risk levels vary between communities is quantified. The objectives of the risk analysis are to: 1. establish landslide hazard, i.e. the frequency and magnitude of landsliding for each location, 2. develop an index of social vulnerability per census year and community, 3. develop an index of social resilience per census year and community, 4. combine 1.-3. and, together with exposure ('elements at risk'), determine risk from landsliding for each community through time.</p>

Trade Liberalisation and Plant Exit in New Zealand Manufacturing

1996 ◽  
Vol 78 (3) ◽  
pp. 521 ◽  
Author(s):  
John K. Gibson ◽  
Richard I. D. Harris
Keyword(s):  
New Zealand ◽  
Trade Liberalisation ◽  
Plant Exit

scholarly journals The evolution of Risk from Landslides: Concepts and Applications for Communities in New Zealand

2021 ◽  
Author(s):  
◽  
Gabriele Hufschmidt
Keyword(s):  
At Risk ◽  
New Zealand ◽  
Risk Analysis ◽  
Adverse Effects ◽  
Social Vulnerability ◽  
Landslide Hazard ◽  
Social Resilience ◽  
Absolute Level ◽  
Risk Levels ◽  
Elements At Risk

<p>The aim of this research is to identify temporal changes of risk from landsliding for several locations in New Zealand (the Western Hutt Hills, close to Wellington; Te Arai, close to Gisborne; Mt.Cook/Aoraki Village, South Island). While risk analysis usually targets a particular point in time, this research includes several five-year intervals (based on census years) starting in 1981 until 2006. The scale of this analysis is the community level. Risk is not expressed as an absolute level of loss, for example a dollar value or the number of fatalities. Risk is rather considered as the probability and extent of adverse effects on a community inferred from landsliding. As such, risk is relative: the aim is to quantify risk for a community relative to another point in time, and relative to other communities. In addition, the degree to which risk levels vary between communities is quantified. The objectives of the risk analysis are to: 1. establish landslide hazard, i.e. the frequency and magnitude of landsliding for each location, 2. develop an index of social vulnerability per census year and community, 3. develop an index of social resilience per census year and community, 4. combine 1.-3. and, together with exposure ('elements at risk'), determine risk from landsliding for each community through time.</p>

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