To send content items to your account,
please confirm that you agree to abide by our usage policies.
If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account.
Find out more about sending content to .
To send content items to your Kindle, first ensure email@example.com
is added to your Approved Personal Document E-mail List under your Personal Document Settings
on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part
of your Kindle email address below.
Find out more about sending to your Kindle.
Note you can select to send to either the @free.kindle.com or @kindle.com variations.
‘@free.kindle.com’ emails are free but can only be sent to your device when it is connected to wi-fi.
‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.
With climate change and increasing globalisation of trade and travel, the risks presented by invasive pests and pathogens to natural environments, agriculture and economies have never been greater, and are only increasing with time. Governments world-wide are responding to these increased threats by strengthening quarantine and biosecurity. This book presents a comprehensive review of risk-based techniques that help policy makers and regulators protect national interests from invasive pests and pathogens before, at, and inside national borders. Selected from the research corpus of the Centre of Excellence for Biosecurity Risk Analysis at the University of Melbourne, this book provides solutions that reflect scientific rigour coupled with practical, hands-on applications. Focusing on surveillance, stochastic modelling, intelligence gathering, decision making and risk communication, the contents combine the strengths of risk analysts, mathematicians, economists, biologists and statisticians. The book presents tested scientific solutions to the greatest challenges faced by quarantine and biosecurity policy makers and regulators today.
Mike J. Nunn, Animal and Plant Health in the Department of Agriculture
Kym Anderson, University of Adelaide,Cheryl McRae, Department of Agriculture, Fisheries and Forestry in Canberra, Australia,David Wilson, Department of Agriculture, Fisheries and Forestry in Canberra, Australia
Although people have always made decisions in the face of uncertainty, the ability to appreciate risk by specifically assessing probability and consequences is a particular characteristic of modern times. The ability to consider what may happen in the future and to choose rationally between options is essentially a modern phenomenon that has its historical roots in the mathematics of risk-taking, particularly of gambling, insurance and financial investment (Bernstein 1997). The understanding of risk and rational risk-taking that has developed from these roots through risk analysis underpins the modern market economy, including international trade. This paper explores the analytical foundation of the analysis of risks associated with importing animals and plants or their products1 as used by quarantine authorities to develop sanitary and phytosanitary measures to mitigate the spread of disease.
Risk analysis has been recognised only recently as a formal discipline in its own right and there is still some confusion in both scientific and popular literature about the precise definition of each of its elements (Krewski and Birkwood 1987; Covello and Merkhofer 1993; Byrd and Cothern 2000). Several attempts have been made to develop a standardised nomenclature in a range of disciplines – including animal health, plant health, food safety, and environmental science (Nunn 1997). However, some authorities use ‘risk management’ rather than ‘risk analysis’ for the overall term (e.g. SA/SNZ 1999) and others restrict ‘risk analysis’ to include elements such as risk identification, assessment and evaluation but not risk management and risk communication.
Email your librarian or administrator to recommend adding this to your organisation's collection.