Autor: |
Lee Jones A; Department of Biology, University of Oxford, South Parks Road, Oxford, OX13SZ, UK. Electronic address: anna.jones@biology.ox.ac.uk., Ormondroyd A; Kavli Institute for Cosmology, University of Cambridge, Madingley Road, Cambridge, CB3 0HA, UK., Hayes F; UK Centre for Ecology & Hydrology, Environment Centre Wales, Deiniol Road, Bangor, LL57 2UW, UK., Jeffers ES; Department of Biology, University of Oxford, South Parks Road, Oxford, OX13SZ, UK. |
Jazyk: |
angličtina |
Zdroj: |
Environmental pollution (Barking, Essex : 1987) [Environ Pollut] 2024 Nov 01; Vol. 360, pp. 124642. Date of Electronic Publication: 2024 Jul 31. |
DOI: |
10.1016/j.envpol.2024.124642 |
Abstrakt: |
Tropospheric ozone (O 3 ) causes widespread damage to vegetation; however, monitoring of O 3 induced damage is often reliant on manual leaf inspection. Reflectance spectroscopy of vegetation can identify and detect unique spectral signatures of different abiotic and biotic stressors. In this study, we tested the use of hyperspectral leaf reflectance to detect O 3 stress in alder, beech, birch, crab apple, and oak saplings exposed to five long-term O 3 regimes (ranging from daily target maxima of 30 ppb O 3 to 110 ppb). Hyperspectral reflectance varied significantly between O 3 treatments, both in whole spectra analysis and when simplified to representative components. O 3 damage had a multivariate impact on leaf reflectance, underpinned by changes in pigment balance, water content and structural composition. Vegetation indices derived from reflectance which characterised the visible green peak were able to differentiate between O 3 treatments. Iterative normalised difference spectral indices across the hyperspectral wavelength range were correlated to visual damage scores to identify significant wavelengths for O 3 damage detection. We propose a new Ozone Damage Index (OzDI), which characterises the reflectance peak in the shortwave infrared region and outperformed existing vegetation indices in terms of correlation to O 3 treatment. These results demonstrate the potential application of hyperspectral reflectance as a high throughput method of O 3 damage detection in a range of common broadleaf. species. Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. (Copyright © 2024 The Authors. Published by Elsevier Ltd.. All rights reserved.) |
Databáze: |
MEDLINE |
Externí odkaz: |
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