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EFSA/EPPO Joint Workshop Data collection and information sharing in plant health 1-2-3 April 2014 EFSA, Parma, Italy Challenges of data collection in Pest Risk Analysis Françoise Petter, Muriel Suffert & Sarah Brunel European and Mediterranean Plant Protection Organization

Challenges of data collection in Pest Risk · PDF file · 2015-08-04Challenges of data collection in Pest Risk Analysis ... Express Pest Risk Analysis Schemes used by the EPPO EWGs

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EFSA/EPPO Joint Workshop

Data collection and information sharing in plant health

1-2-3 April 2014

EFSA, Parma, Italy

Challenges of data collection in Pest Risk Analysis

Françoise Petter, Muriel Suffert & Sarah Brunel European and Mediterranean Plant Protection

Organization

European and Mediterranean Plant Protection Organization

• Regional Plant Protection Organization (article IX of the International

Plant Protection Convention)

• Created in 1951 by 15 countries

• International cooperation in plant protection (plant quarantine and

plant protection products)

In 2014:

50 member countries

EPPO activities in plant quarantine

Identification of potential risks: Early warning systems to identify emerging risks

Evaluation of potential risks: Pest Risk Analysis

Recommendations on pests which should be regulated as quarantine pests (EPPO A1 and A2 Lists)

Preparation of Standards (e.g. official control standards, diagnostic protocols, inspection procedures….)

Provide information to EPPO members

EPPO Standard PM 5/3 (5) Decision-support scheme for

quarantine pests

Pest Risk Assessment

Categorization

Probability of entry (pathways, detection, survival in transit)

Probability of establishment and spread (host plants, vectors, climate)

Economic impact assessment (direct/indirect damage)

Pest Risk Management

Is the risk acceptable?

For each possible pathway evaluate the

efficacy of possible phytosanitary measures

Propose management options

Initiation Which pest to analyse?

Definition of the PRA area

Does an earlier PRA exist?

Computerized versions

EPPO Standard PM 5/5 (1) Decision-support scheme for an

Express Pest Risk Analysis

Schemes used by the EPPO EWGs for PRA

PRA and data collection

Data needs on:

The pest evaluated,

The pest situation in its current area of distribution,

The pathways of entry,

The factors affecting its establishment, spread and impacts,

The measures available for its management.

Lack of data is recognized globally as a major challenge in PRA.

PRAs at different levels in the EPPO framework

PRA conducted for groups of countries e.g.

EU or EEC level

PRA conducted at EPPO level

PRA conducted at national level

Challenge of data collection in an open system

PRA for multiple possible origins

Agrilus anxius a lot of information from US & Canada

Aromia bungii: few information from China, Mongolia, Vietnam and only recent

information from an Italian outbreak

Difficulty for EPPO to ask information to non-EPPO NPPOs

Language challenge

Challenge of data collection

Access to experts through personal contacts

Reliability of information

Examples of challenges with data collection in the different sections of

the PRA

Main data challenges in the categorization

Pest distribution

For some areas detailed records of pest distribution are not easy to obtain

Host list

Is this species a true host? PRA for Aromia bungi : data for Rosaceae but for many species host status needs confirmation. For PRA on Thaumatotibia leucotrata hours spent to clarify the host list.

Cactoblastis cactorum in 2003

Main data challenges in the entry section

Identification of pathways • Is this disease truly seed transmitted? • PRA on Pseudomonas syringae pv. actinidiae (pollen

transmission only recently demonstrated no study available when PRA performed)

• Presence of the pest in soil or only on debris?

Most information only available through direct contacts with experts (on pest but also on commodities)

Wood chips

Main data challenges in the entry section

Concentration of the pest on the pathway in the country of origin and the influence of practices

I would like to find some

information!

Not always easy to find

information and for some origins

the information is very scarce

Main data challenges in the entry section

Trade data: Main sources of information=

EUROSTAT and FAOSTAT both based on custom data (custom codes)

No detailed information for some commodities

e.g. plants for planting

Trade data can be precise for some commodities but is

often aggregated

Specific surveys are organized to fill the

gaps but are one shot (e.g. import of palm trees, data gathered in the framework of the EPPO study on plants for planting)

Trade data in Euros or kg What is the phytosanitary significance?

Both commodities rooted same number of units same weight?

Unrooted cuttings

Central database on plants for planting would be useful.

Such changes require modifications of

custom legislation

Inconsistency of data Saperda candida PRA Export data from Canada

different from EU import data

Data not available for movement between EPPO countries (e.g. between EU countries) and for all our member countries

Closed pathways?

Main data challenges in the entry section

• Interception data very useful to evaluate the association with a pathway but data available mainly for regulated pests rarely for other pests.

• Not all commodities are inspected Transfer

Main data challenges in the establishment section

Host plant distribution (surface or production)

Access to some Global Crop Maps (e.g. Data from McGill University) But validity sometime Questionned

Little data on nursery production by species how much where?

When information on areas of distribution is available is it representative of density of

hosts?

Distribution of Eichhornia crassipes in the USA Records highlighted in blue were initially provided as established populations while

they were only transient

• In order to perform climatic need for:

– data from a sufficient number of location

– information on survival thresholds

Main data challenges in the establishment section

Evaluation of climatic suitability

CLIMEX - Compare Locations (1 species)

Saperda candida f inal

Run on Dec 07 2009 14:45

World

No Climate Change / Irrigation: Not Set

0 to <10

20 to <3040 to <50

60 to <7080 to <90

90 to <100

Saperda candida (round-headed apple tree borer)

Spread

Little data usually available Frequent information found in articles:

This insect is a strong flyer (no distance mentioned), transported by wind….

Little epidemiological data on an area wide basis

Main data challenges in the establishment section

Models for spread have been developed but rely on data which are not always

available.

Little quantitative data

Many articles refer to “severe damage” or “severe losses”

How to evaluate monetary data (How to relate $ to Euros in terms of costs?)

Quantifying impact for different countries (an impact depends on current practices and these differ)

Integration of ecosystem services

Main data challenges in the impact section

Usually lack of data on: – treatments and their efficacy on different pathways

– Pest-Free Areas, Pest-Free Production Place and efficacy of this option (usually linked on lack of data on spread)

Main data challenges in the management section

Fumigation Cold treatment

Some improvements

Dataset explorer

http://capra.eppo.org/

• Questionnaires to NPPOs to gather data on trade, production and production practice (not easy to elaborate usually one shot so no long term validity)

• Involvement of experts from areas where the pest occurs in the PRA process

• Try to involve stakeholders

• Collaboration with other region to gather data.

• Collaboration with EFSA (EFSA opinions used as a source of information)

• Find ways to improve import data

• Research is needed to better understand the biology and epidemiology of invasive pests, and mechanisms of biological invasions, data on treatments (EUPHRESCO projects)

Some improvements

« By the end of the day, it is also the role of the risk analyst to provide an opinion based on the information available, but also to highlight uncertainty and how it can be reduced by gathering more data or initiating research »

EPPO’s achievements are based on collaboration between experts from

our region.

Thank you for your attention!