Quality assessment of urban trees: A comparative study of physiological characterisation, airborne imaging and on site fluorescence monitoring by the OJIP-test

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Summary

The purpose of this paper is to demonstrate the complementary utility of chlorophyll fast fluorescence OJIP transient (from 50 μs to 1 s) measurements in the aerial study of rows of trees. We identify limitations in photochemical events induced by urban injuries on Platanus acerfolia L., using the JIP-test procedure. The Performance Index (PIABS) showed the largest dynamic range to characterise the vitality of trees. Individual trees were graded into three quality groups based on the individual PIABS value compared to the overall average for trees in the alley. These groups are: high performers, with PIABS 50 percnt; higher than the alley average; normal trees, with a deviation from the alley average between -50 percnt; and +50 percnt;; and poor performers, whose deviation from the alley average was -50 percnt; or less. Trees also were grouped into five vitality categories on the basis of a stereoscopic and morphologic observation of the symmetry of tree crowns, percentage of defoliation and reflectance property in the visible and infra-red range. Here, we report a remarkable correlation between the airborne remote sensing data and the on-site fluorescence measurements.

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      Citation Excerpt :

      Therefore, it should be accompanied by other methods such as PAM fluorometry (herein imaging fluorometry) and/or evaluation of net photosynthesis (herein gas exchange measurements) when a stress impact on photosynthesis is studied (Mantzoukas et al., 2015; Chondrogiannis and Grammatikopoulos, 2021). However, despite the assumptions and pre-requisites for a detailed study of photosynthesis under abiotic and biotic stresses on the photosynthetic machinery (Stirbet and Govindjee, 2011; Kalaji et al. 2014a, 2017a; Tsimili-Michael, 2020), the value of the JIP-test parameters for screening large populations and for comparing stress impacts and/or plants tolerance is unequivocal (Misra et al., 2001; Hermans et al., 2003;, Van Heerden and Krüger, 2004; Oukarroum, 2007, 2009; Kalaji et al., 2014b, 2018b; Kalaji et al., 2014a,b; Stirbet et al., 2018). Consequently, PINFI could be a reliable tool for the timely detection of viral infections in large populations of samples in the lab or even in the field.

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