Abstract
Oak decline as a complex syndrome is one of the most relevant forest diseases worldwide. This disease has a complex and multifactorial nature, and this has caused conventional methods in plant pathology not to provide researchers with a correct and comprehensive analysis of oak decline. This issue entails the need for a multidisciplinary approach in examining and evaluating the disease, which will provide researchers with a more exhaustive understanding of the disease. The present review examines the concept of decline, the factors that contribute to the occurrence and development of the disease, its global distribution, and indexes used in the assessment of the disease. Furthermore, it draws attention to various research approaches that have been utilized to investigate oak decline.
Publisher
Instituto Nacional de Investigacion y Tecnologia Agraria y Alimentaria (INIA)
Subject
Soil Science,Ecology, Evolution, Behavior and Systematics,Forestry
Reference84 articles.
1. Aggarwal CC, 2018. Neural networks and deep learning. Springer Nature, Switzerland.
2. Ahmadi R, Kiadaliri H, Mataji A, Kafaki S, 2014. Oak forest decline zonation using AHP model and GIS technique in Zagros forests of Ilam Province. JBES 4: 141-150.
3. Ahmadi E, Kowsari M, Azadfar D, Salehi Jouzani G, 2019. Bacillus pumilus and Stenotrophomonas maltophilia as two potentially causative agents involved in Persian oak decline in Zagros forests (Iran). Forest Pathol 49: e12541.
4. Attarod P, Sadeghi SMM, Pypker TG, Bayramzadeh V, 2017. Oak trees decline; a sign of climate variability impacts in the west of Iran. Casp J Environ Sci 15: 373-384.
5. Bahram M, Koljalg U, Courty PE, Diedhiou AG, Kjoller R, Polme S, et al., 2013. The distance decay of similarity in communities of ectomycorrhizal fungi in different ecosystems and scales. J Ecol 101: 1335-1344.
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