CAPRA: the EPPO Computer Assisted PRA scheme*

Griessinger, D.; Suffert, M.; Brunel, Sarah; Petter, F.

doi:10.1111/j.1365-2338.2012.02541.x

Cited by 73 publications

(126 citation statements)

References 5 publications

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“…The models described have been adopted as a component in the EPPO DSS (embedded into CAPRA software) and scrutinized by several EPPO Expert Working Groups (EWGs), an EPPO\PRATIQUE workshop in Hammamet, Tunisia, in November 2010, and by the EPPO Panel on PRA Development. Case studies of 10 pests selected by EFSA offered opportunities for evaluation by other pest risk analysts within the context of Prima phacie.…”

Section: Resultsmentioning

confidence: 99%

“…The DSS consists of three stages: initiation, risk assessment, and risk management . A computerized version of the DSS has been developed that facilitates the completion and recording of the analysis . There are approximately 50 questions within the risk assessment stage, which is split between four main sections: entry, establishment, spread, and impact/consequences.…”

Section: Introductionmentioning

confidence: 99%

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Eliciting and Combining Decision Criteria Using a Limited Palette of Utility Functions and Uncertainty Distributions: Illustrated by Application to Pest Risk Analysis

et al. 2013

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Utility functions in the form of tables or matrices have often been used to combine discretely-rated decision-making criteria. Matrix elements are usually specified individually, so no one rule or principle can be easily stated for the utility function as a whole. A series of five matrices are presented which aggregate criteria two at a time using simple rules which express a varying degree of constraint of the lower rating over the higher. A further nine possible matrices were obtained by using a different rule either side of the main axis of the matrix to describe situations where the criteria have a differential influence on the outcome. Uncertainties in the criteria are represented by three alternative frequency distributions from which the assessors select the most appropriate. The output of the utility function is a distribution of rating frequencies that is dependent on the distributions of the input criteria. In Pest Risk Analysis (PRA), seven of these utility functions were required to mimic the logic by which assessors for the European and Mediterranean Plant Protection Organisation (EPPO) arrive at an overall rating of pest risk. The framework enables the development of PRAs which are consistent and easy to understand, criticise, compare and change. When tested in workshops, PRA practitioners thought that the approach accorded with both the logic and the level of resolution which they used in the risk assessments.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Eliciting and Combining Decision Criteria Using a Limited Palette of Utility Functions and Uncertainty Distributions: Illustrated by Application to Pest Risk Analysis

et al. 2013

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“…The new version of the EPPO Decision-Support Scheme (DSS) is freely available, including its computerized version named CAPRA (see Griessinger et al 2012 for a full description) that can be downloaded from the EPPO website (http://capra.eppo. org/).…”

Section: The Decision-support Scheme For Climatic Suitability Risk Mamentioning

confidence: 99%

Interface between pest risk science and policy: the EPPO perspective

Brunel¹,

Suffert²,

Petter³

et al. 2013

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The European and Mediterranean Plant Protection Organisation (EPPO) is an intergovernmental organization responsible for cooperation in plant protection in the European and Mediterranean region. It provides global distribution maps of pests, and intends to identify the areas at risk from new and emerging pests, in the framework of Pest Risk Analyses. EPPO has developed a decision-support scheme for Pest Risk Analysis (DSS) and a computer program (CAPRA) to assist pest risk analysts in running the decisionsupport scheme. Dedicated rating guidance and a Climatic Suitability Risk Mapping Decision-Support Scheme have recently been developed to guide assessors in identifying the potential area of establishment of a pest. All these tools have been developed taking into account both pest risk science available and needs of policy makers. The use of these tools and of mapping software are undertaken within the framework of EPPO Pest Risk Analyses, as illustrated through the examples of Thaumatotibia leucotreta (Lepidoptera) and Apriona germari (Coleoptera).

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“…Instead, it is recommended to assess the climatic suitability in the PRA area via the degree of its correspondence to ecoclimatic conditions in the area of current distribution of the pest analyzed -by the sum of effective temperatures, precipitation, hydrothermal coef cient, etc. Complex models [12,13] and software were designed to solve the mentioned tasks, for instance, CAPRA program [8,14] or CLIMEX program [15].…”

Section: Introductionmentioning

confidence: 99%

Practical methodology of assessing probability of establishment of adventive plant pests

Klechkovskyi¹,

Titova²,

Palahina³

et al. 2016

Agric. sci. pract.

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Aim. To develop practical methodology of assessing the probability of establishment of adventive pests out- side of their native range of distribution, using specialized software. Methods. International standards for pest risk analysis ISPM No. 2, ISPM No. 11, ISPM No. 21, РМ 5/1(1), РМ 5/2(2), РМ 5/3(5), РМ 5/5(1) and Agro Atlas (Afonin et al., 2008), MapInfo v.11.0 (Pitney Bowes) and Idrisi Taiga (Сlarklabs) software. Results. The presence of host-plant species range and the correspondence of ecoclimatic conditions of Ukraine (as a pest risk analysis area) to the climate indices of the current area of distribution of such pests as Oemona hirta (lemon tree borer) and Thaumatotibia leucotreta (false codling moth) were studied using specifi ed software. The potential areas of establishment of these pests in Ukraine were defi ned. Conclusions. The effi ciency and convenience of me-thods of assessing the risk of establishment of adventive plant pests using Agro Atlas, MapInfo v.11.0 and Idrisi Taiga software, were proven. It was determined that a potential area of establishment of O. hirta is the sou-thern part of Odessa region, an inconsiderable part of south-west of Mykolayiv region, south-western territory of Kherson region and almost the entire territory of the Crimean Peninsula. A potential area of establishment of T. leucotreta is an inconsiderable territory of the Black Sea coast − Tarkhankut Penin- sula and Kerch Peninsula in the Crimea.

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CAPRA: the EPPO Computer Assisted PRA scheme*

Cited by 73 publications

References 5 publications

Eliciting and Combining Decision Criteria Using a Limited Palette of Utility Functions and Uncertainty Distributions: Illustrated by Application to Pest Risk Analysis

Eliciting and Combining Decision Criteria Using a Limited Palette of Utility Functions and Uncertainty Distributions: Illustrated by Application to Pest Risk Analysis

Interface between pest risk science and policy: the EPPO perspective

Practical methodology of assessing probability of establishment of adventive plant pests

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