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Article

Estimating Productivity, Detecting Biotic Disturbances, and Assessing the Health State of Traditional Olive Groves, Using Nondestructive Phenotypic Techniques

Biodiversity Conservation Laboratory, Department of Environment, University of the Aegean, 81100 Mytilene, Greece
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Academic Editors: Vincenzo Torretta and Elena Rada
Sustainability 2022, 14(1), 391; https://doi.org/10.3390/su14010391
Received: 1 December 2021 / Revised: 21 December 2021 / Accepted: 27 December 2021 / Published: 30 December 2021
Conservation of traditional olive groves through effective monitoring of their health state is crucial both at a tree and at a population level. In this study, we introduce a comprehensive methodological framework for estimating the traditional olive grove health state, by considering the fundamental phenotypic, spectral, and thermal traits of the olive trees. We obtained phenotypic information from olive trees on the Greek island of Lesvos by combining this with in situ measurement of spectral reflectance and thermal indices to investigate the effect of the olive tree traits on productivity, the presence of the olive leaf spot disease (OLS), and olive tree classification based on their health state. In this context, we identified a suite of important features, derived from linear and logistic regression models, which can explain productivity and accurately evaluate infected and noninfected trees. The results indicated that either specific traits or combinations of them are statistically significant predictors of productivity, while the occurrence of OLS symptoms can be identified by both the olives’ vitality traits and by the thermal variables. Finally, the classification of olive trees into different health states possibly offers significant information to explain traditional olive grove dynamics for their sustainable management. View Full-Text
Keywords: traditional agroecosystems; phenotypic traits; infrared thermography; Lesvos; Olea europaea var. pyriformis traditional agroecosystems; phenotypic traits; infrared thermography; Lesvos; Olea europaea var. pyriformis
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MDPI and ACS Style

Zevgolis, Y.G.; Kamatsos, E.; Akriotis, T.; Dimitrakopoulos, P.G.; Troumbis, A.Y. Estimating Productivity, Detecting Biotic Disturbances, and Assessing the Health State of Traditional Olive Groves, Using Nondestructive Phenotypic Techniques. Sustainability 2022, 14, 391. https://doi.org/10.3390/su14010391

AMA Style

Zevgolis YG, Kamatsos E, Akriotis T, Dimitrakopoulos PG, Troumbis AY. Estimating Productivity, Detecting Biotic Disturbances, and Assessing the Health State of Traditional Olive Groves, Using Nondestructive Phenotypic Techniques. Sustainability. 2022; 14(1):391. https://doi.org/10.3390/su14010391

Chicago/Turabian Style

Zevgolis, Yiannis G., Efstratios Kamatsos, Triantaphyllos Akriotis, Panayiotis G. Dimitrakopoulos, and Andreas Y. Troumbis. 2022. "Estimating Productivity, Detecting Biotic Disturbances, and Assessing the Health State of Traditional Olive Groves, Using Nondestructive Phenotypic Techniques" Sustainability 14, no. 1: 391. https://doi.org/10.3390/su14010391

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