
Changes in climatic conditions drive variations in arbuscular mycorrhizal fungi diversity and composition in semi-arid oak forests
Nahid Jafarian, Javad Mirzaei, Reza Omidipour, Yahya Kooch
Journal of Forestry Research ›› 2024, Vol. 35 ›› Issue (1) : 94.
Changes in climatic conditions drive variations in arbuscular mycorrhizal fungi diversity and composition in semi-arid oak forests
Arbuscular mycorrhizal fungi (AMF) play a vital role in plant productivity and ecosystem functions. However, their responses to abiotic factors (i.e., climate, physiography, and soil properties) are unknown, especially across climatic gradients and slope aspects in arid and semi-arid ecosystems. In this study, using 60 composite soil samples, direct and indirect effects of climate factors and slope aspects on AMF diversity, composition and spore density were studied. The findings indicate that climate has a more direct influence on soil properties (P < 0.001) in comparison to slope aspect (P = 0.449). In contrast, climate significantly affected AMF diversity and composition, with the highest diversity in dryer areas. Soil pH had the highest correlation with different facets of AMF diversity. Structural equation modeling (SEM) indicated that only a small part of the variation in AMF diversity and spore density could be explained by climate characteristics, slope aspect and soil properties. Based on SEM results, climate was the most important determinant of AMF diversity and spore density; slope aspect had a less critical role. The outputs suggest that variations in AMF diversity are derived by the direct effects of climate and the indirect effect of soil chemical properties. In addition, with increasing dryness, sporulation and AMF diversity increased.
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Alef K, Nannipieri P (1995) Methods in applied soil microbiology and biochemistry. Academic Press, p 576. https://doi.org/10.1016/B978-0-12-513840-6.X5014-9
|
|
|
|
Anderson MJ (2014) Permutational multivariate analysis of variance (PERMANOVA). Wiley statsref: statistics reference online, pp 1–15.
|
|
|
|
|
|
Bremner JM, Mulvaney CS (1982) Nitrogen−Total. In: Page AL (ed) Methods of soil analysis: part 2 chemical and microbiological properties, pp 595–624. https://doi.org/10.2134/agronmonogr9.2.2ed.c31
|
|
|
|
|
|
Choudhary BK, Ali khan M, Saxena KG (2010) Mycorrhizal spore density in relation to physico-chemical properties of soil: a case study of central Himalaya. Maejo Int J Sci Technol 5:243–251. https://www.researchgate.net/publication/294292917
|
|
|
|
Dickie IA, Martinez-Garcia LB, Koele N, Grelet GA, Tylianakis JM, Peltzer DA, Richardson SJ (2013) Mycorrhizas and mycorrhizal fungal communities throughout ecosystem development. Plant Soil 367:11–39. https://www.jstor.org/stable/42952876
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Kojima T, Jenkins S, Weerasekara A, Fan JW (2014) Arbuscular mycorrhizal diversity and function in grassland ecosystems. In: Mycorrhizal fungi: use in sustainable agriculture and land restoration, pp 149–169. https://doi.org/10.1007/978-3-662-45370-4_9
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
R Core Team (2021) R: a language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. https://www.R-project.org/
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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