Sources of errors in assessing ozone visible symptoms on native vegetation
Creators
- 1. Department of Plant Biology, University of Florence, Piazzale delle Cascine 28, 50144 Florence (Italy)
- 2. Swiss Federal Institute for Forest, Snow and Landscape Research WSL, 8903 Birmensdorf (Switzerland)
- 3. LinnAEambiente srl, Via G. Sirtori 37, 50137 Florence (Italy)
- 4. Dipartimento di Matematica e Fisica, Universita Cattolica del Sacro Cuore, Via Musei 41, 25121 Brescia (Italy)
Description
This paper aims to identify the problems regarding the evaluation of ozone (and ozone-like) symptoms, by examining the results of the 4th UN/ECE ICP-Forests Intercalibration Course for the assessment of ozone-induced visible symptoms. Trees, shrubs and herbaceous species were evaluated in a tree nursery, at Lattecaldo (Switzerland) and under open field conditions at Moggio (Italy). The main findings were: (i) the most expert surveyors tended to be grouped in the same cluster and, during the field exercises, they tended to assess in a more conservative manner compared to the less trained participants; (ii) the agreement was greater in assessing the absence rather than the presence of symptoms; (iii) typical interveinal stippling on the upper leaf surface was more accurately evaluated than discoloration; (iv) uncertainties resulted mainly for species which showed greater variability in their symptom manifestation, and for certain herbaceous species. - The quality of foliar ozone-symptom assessment depends on the experience of the surveyor, the symptom specificity, and the symptom variability within the same species
Additional details
Identifiers
- DOI
- 10.1016/j.envpol.2005.07.012;
- PII
- S0269-7491(05)00393-3;
Publishing Information
- Journal Title
- Environmental Pollution (1987)
- Journal Volume
- 140
- Journal Issue
- 2
- Journal Page Range
- p. 257-268
- ISSN
- 0269-7491
- CODEN
- ENPOEK
INIS
- Country of Publication
- United Kingdom
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 37079932
- Subject category
- S60: APPLIED LIFE SCIENCES;
- Descriptors DEI
- ERRORS; EVALUATION; FORESTS; LEAVES; OZONE; QUALITY ASSURANCE; SHRUBS; SPECIFICITY; SYMPTOMS; TREES; URANIUM NITRIDES; VALIDATION
- Descriptors DEC
- ACTINIDE COMPOUNDS; NITRIDES; NITROGEN COMPOUNDS; PLANTS; PNICTIDES; TESTING; URANIUM COMPOUNDS
Optional Information
- Copyright
- Copyright (c) 2005 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.