A test of the Australian Weed Risk Assessment system in China

2018 ◽  
Vol 20 (8) ◽  
pp. 2061-2076 ◽  
Author(s):  
Shanyong He ◽  
Liping Yin ◽  
Junbao Wen ◽  
Yibing Liang
Keyword(s):  
Risk Assessment ◽  
Assessment System ◽  
Weed Risk Assessment

Developing a hybrid weed risk assessment system for countries with open and porous borders: insights from Bhutan

2021 ◽  
Author(s):  
Dorjee ◽  
Stephen B. Johnson ◽  
Anthony J. Buckmaster ◽  
Paul O. Downey
Keyword(s):  
Risk Assessment ◽  
Assessment System ◽  
Weed Risk Assessment

Evaluation of the Australian weed risk assessment system for the prediction of plant invasiveness in Canada

2010 ◽  
Vol 12 (12) ◽  
pp. 4085-4098 ◽  
Author(s):  
Alec McClay ◽  
Andrea Sissons ◽  
Claire Wilson ◽  
Sarah Davis
Keyword(s):  
Risk Assessment ◽  
Assessment System ◽  
Weed Risk Assessment ◽  
Plant Invasiveness

Developing a pre-entry weed risk assessment system for use in Japan

2008 ◽  
Vol 11 (6) ◽  
pp. 1319-1333 ◽  
Author(s):  
Tomoko Nishida ◽  
Naoko Yamashita ◽  
Motoaki Asai ◽  
Shunji Kurokawa ◽  
Takashi Enomoto ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Assessment System ◽  
Weed Risk Assessment

Consistent accuracy of the Australian weed risk assessment system across varied geographies

2008 ◽  
Vol 14 (2) ◽  
pp. 234-242 ◽  
Author(s):  
Doria R. Gordon ◽  
Daphne A. Onderdonk ◽  
Alison M. Fox ◽  
Randall K. Stocker
Keyword(s):  
Risk Assessment ◽  
Assessment System ◽  
Weed Risk Assessment

scholarly journals Predicting plant invaders in the Mediterranean through a weed risk assessment system

2009 ◽  
Vol 12 (3) ◽  
pp. 463-476 ◽  
Author(s):  
Núria Gassó ◽  
Corina Basnou ◽  
Montserrat Vilà
Keyword(s):  
Risk Assessment ◽  
Assessment System ◽  
Weed Risk Assessment ◽  
Plant Invaders ◽  
The Mediterranean

Quantitative Uncertainty Analysis for a Weed Risk Assessment System

Risk Analysis ◽  
2018 ◽  
Vol 38 (9) ◽  
pp. 1972-1987 ◽  
Author(s):  
Barney P. Caton ◽  
Anthony L. Koop ◽  
Larry Fowler ◽  
Leslie Newton ◽  
Lisa Kohl
Keyword(s):  
Risk Assessment ◽  
Uncertainty Analysis ◽  
Assessment System ◽  
Weed Risk Assessment

p-EMA (II): evaluating ecological risks of pesticides for a farm-level risk assessment system

Agronomie ◽  
2003 ◽  
Vol 23 (1) ◽  
pp. 75-84 ◽  
Author(s):  
Andy Hart ◽  
Colin D. Brown ◽  
Kathy A. Lewis ◽  
John Tzilivakis
Keyword(s):  
Risk Assessment ◽  
Assessment System ◽  
Ecological Risks ◽  
Farm Level

IRISK METHOD FOR SECURITY ESTIMATION OF THE SIMULATION POLYGON FOR THE PROTECTION OF CRITICAL INFORMATION RESOURCES

2019 ◽  
Author(s):  
Bogdan Korniyenko ◽  
Lilia Galata
Keyword(s):  
Risk Assessment ◽  
Information System ◽  
Information Security ◽  
Risk Analysis ◽  
Information Resources ◽  
Security System ◽  
Assessment System ◽  
Automated System ◽  
Information Risk ◽  
Critical Information

In this article, the research of information system protection by ana­ ly­ zing the risks for identifying threats for information security is considered. Information risk analysis is periodically conducted to identify information security threats and test the information security system. Currently, various information risk analysis techni­ ques exist and are being used, the main difference being the quantitative or qualitative risk assessment scales. On the basis of the existing methods of testing and evaluation of the vulnerabilities for the automated system, their advantages and disadvantages, for the possibility of further comparison of the spent resources and the security of the information system, the conclusion was made regarding the deter­ mi­ nation of the optimal method of testing the information security system in the context of the simulated polygon for the protection of critical information resources. A simula­ tion ground for the protection of critical information resources based on GNS3 application software has been developed and implemented. Among the considered methods of testing and risk analysis of the automated system, the optimal iRisk methodology was identified for testing the information security system on the basis of the simulated. The quantitative method Risk for security estimation is considered. Generalized iRisk risk assessment is calculated taking into account the following parameters: Vulnerabili­ ty  — vulnerability assessment, Threat — threat assessment, Control — assessment of security measures. The methodology includes a common CVSS vul­ nerability assessment system, which allows you to use constantly relevant coefficients for the calculation of vulnerabilities, as well as have a list of all major vulnerabilities that are associated with all modern software products that can be used in the automated system. The known software and hardware vulnerabilities of the ground are considered and the resistance of the built network to specific threats by the iRisk method is calculated.

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