Table 4.
Data quality assessment by the data providers concerning a potential bias in insect pests and pathogens, and steps taken thereafter (contacting of new experts and completing the database).
Country | Initial data quality assessment | After initial assessment | Final assessment | ||||
---|---|---|---|---|---|---|---|
Bias in insects and other pests | Bias in pathogens | Potential for more data from new experts | Contacting of new experts | Response of new experts | New entries/updates/gap filling | Overall bias | |
AT | 2 | 2 | No | n.a. | n.a. | Yes | 1 |
BA | 1 | 1 | No | n.a. | n.a. | No | 1 |
BE-WAL | 2 | 2 | Yes | Yes | No | Yes | 2 |
BG | 1 | 1 | No | n.a. | n.a. | Yes | 1 |
CH | 1 | 1 | No | n.a. | n.a. | Yes | 1 |
CZ | 1 | 1 | Yes | No | n.a. | Yes | 1 |
DE | NA | NA | Yes | Yes | Yes | Yes | 2 |
DK | 3 | 3 | Yes | Yes | Yes | Yes | 1 |
EE | 2 | 2 | Yes | Yes | Yes | Yes | 1 |
ES | 1 | 1 | No | n.a. | n.a. | Yes | 1 |
FI | NA | NA | No | n.a. | n.a. | Yes | 1 |
FR | 2 | 2 | Yes | Yes | Yes | Yes | 2 |
GB | 2 | 2 | Yes | Yes | No | No | 1 |
GR | 1 | 1 | No | n.a. | n.a. | Yes | 1 |
HU | 1 | 1 | No | n.a. | n.a. | No | 1 |
IE | 1 | 1 | Yes | No | n.a. | Yes | 1 |
IT | NA | NA | No | n.a. | n.a. | Yes | 1 |
LT | 2 | 2 | No | n.a. | n.a. | Yes | 2 |
NO | 1 | 1 | No | n.a. | n.a. | Yes | 1 |
PL | NA | NA | No | n.a. | n.a. | Yes | 1 |
PT | 2 | 2 | Yes | Yes | No | Yes | 2 |
RO | 2 | 3 | Yes | Yes | Yes | Yes | 1 |
RS | 1 | 1 | No | n.a. | n.a. | Yes | 1 |
SE | 3 | 3 | Yes | Yes | Yes | Yes | 1 |
SI | 1 | 1 | No | n.a. | n.a. | Yes | 1 |
SK | NA | NA | Yes | No | n.a. | No | 2 |
UA | 2 | 2 | Yes | Yes | Yes | Yes | 2 |
Every data provider agreed to check for new records and fill NAs in existing entries. The bias is evaluated according to the following scheme: 1 – ‘The data well reflect the situation of the pest/pathogen impact. There is no bias due to prioritization of certain tree species and/or lack of experts’; 2 – ‘The data on pest/pathogen impact have some bias. The bias due to prioritization of certain tree species and/or lack of experts is, however, minor’; 3 – ‘The data on pest/pathogen impact have major bias. Due to prioritization of certain tree species and/or lack of experts the data does not reflect the complete situation in the country and thus should not be used in a cross-country analysis’;
n.a. – not applicable.