MANUAL Part II Visual Assessment of Crown Condition - ICP Forests
MANUAL Part II Visual Assessment of Crown Condition - ICP Forests
MANUAL Part II Visual Assessment of Crown Condition - ICP Forests
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14 <strong>II</strong>. CROWN CONDITION ASSESSMENTS<br />
9.3 Data plausibility<br />
It is strongly recommended that plausibility checks are included in hand-held data gathering<br />
devices (if used) and/or in the early stages <strong>of</strong> data evaluation. Plausibility checks should also be<br />
integrated into any national data analysis system and NFC’s are responsible for the quality <strong>of</strong><br />
national data reported.<br />
Field checks<br />
Aims:<br />
1. improve data completeness<br />
2. improve consistency between teams<br />
3. improve data consistency regarding Level <strong>II</strong> combined indices<br />
4. document variability<br />
5. provide information to improve training<br />
An independent check survey should re-measure a proportion (e.g. 5-10%) <strong>of</strong> the sample plots<br />
assessed by each survey crew and this should be done very close to the actual survey date to<br />
avoid differences due to crown development. In case <strong>of</strong> significant discrepancies, adjustments or<br />
clarification <strong>of</strong> instructions and their application must be arranged immediately to avoid serious<br />
systematic errors.<br />
National Focal Centres should compare the control data with the original observations and take<br />
action as appropriate. A summary <strong>of</strong> the data comparisons, together with details <strong>of</strong> any action<br />
taken, should be documented for potential evaluations.<br />
9.4 International Quality Control<br />
ICCs are field exercises aimed to<br />
(i) document the relative position <strong>of</strong> individual National Reference Teams (NRTs)<br />
within the international context,<br />
(ii) monitor the consistency <strong>of</strong> NRTs’ position through time,<br />
(iii) improve the traceability <strong>of</strong> the data by establishing a direct connection with the data<br />
collected at national level. This will also help to explain anomalous year-by-year<br />
fluctuations, and<br />
(iv) explore the relationships between the performance <strong>of</strong> the various NRTs and the major<br />
site and stand characteristics<br />
by using field estimates and photo methods.<br />
Detailed methodology see Annex 4.<br />
updated 06/2006