Carslaw, K. S. et al. Atmospheric aerosols in the earth system: a review of interactions and feedbacks. Atmos. Chem. Phys. Discuss. 9, 11087–11183 (2009).
Google Scholar
Müller, A., Miyazaki, Y., Tachibana, E., Kawamura, K. & Hiura, T. Evidence of a reduction in cloud condensation nuclei activity of submicron water-soluble aerosols caused by biogenic emissions in a cool-temperate forest. Sci. Rep. https://doi.org/10.1038/s41598-017-08112-9 (2017).
Google Scholar
Arneth, A. et al. Terrestrial biogeochemical feedbacks in the climate system. Nat. Geosci. 3, 525–532 (2010).
Google Scholar
Mentel, T. F. et al. Secondary aerosol formation from stress-induced biogenic emissions and possible climate feedbacks. Atmos. Chem. Phys. 13, 8755–8770 (2013).
Google Scholar
Celedon, J. M. & Bohlmann, J. Oleoresin defenses in conifers: chemical diversity, terpene synthases and limitations of oleoresin defense under climate change. New Phytol. 224, 1444–1463 (2019).
Google Scholar
Hammerbacher, A., Coutinho, T. A. & Gershenzon, J. Roles of plant volitiles in defence aganst microbial pathogens and microbial explotation of volatiles. Plant Cell Environ. 42, 2827–2843 (2019).
Google Scholar
Ninkovic, V., Markovic, D. & Rensing, M. Plant volatiles as cues and signals in plant communication. Plant Cell Environ. https://doi.org/10.1111/pce.13910 (2020).
Google Scholar
Sharifi, R. & Ryu, C. M. Social networking in crop plants: wired and wireless cross-plant communications. Plant Cell Environ. https://doi.org/10.1111/pce.13966 (2020).
Google Scholar
Garbeva, P. & Weisskopf, L. Airborne medicine: bacterial volatiles and their influence on plant health. New Phytol. 226, 32–43 (2019).
Google Scholar
Thompson, J. N. The Geographic Mosaic of Coevolution (Univ of Chicago Press, 2005).
Hiura, T. & Nakamura, M. Different mechanisms explain feeding type-specific patterns of latitudinal variation in herbivore damage among diverse feeding types of herbivorous insects. Basic Appl. Ecol. 14, 480–488 (2013).
Google Scholar
Okuzaki, Y. & Sota, T. Predator size divergence depends on community context. Ecol. Lett. 21, 1097–1107 (2018).
Google Scholar
Karban, R., Wetzel, W. C., Shiojiri, K., Pezzola, E. & Blande, J. D. Geographic dialects in volatile communication between sagebrush individuals. Ecology 97, 2917–2924 (2016).
Google Scholar
Friberg, M., Schwind, C., Guimaraes, P. R. Jr., Raguso, R. A. & Thompson, J. N. Extreme diversification of floral volatiles within and among species of Lithophragma (Saxifragaceae). Proc. Natl. Acad. Sci. USA 116, 4406–4415 (2019).
Google Scholar
Heilmann-Clausen, J. et al. Communities of wood-inhabiting bryophytes and fungi on dead beech logs in Europe—reflecting substrate quality or shaped by climate and forest conditions?. J. Biogeogr. 41, 2269–2282 (2014).
Google Scholar
Fukasawa, Y. & Matsuoka, S. Communities of wood-inhabiting fungi in dead pine logs along geographical gradient in Japan. Fung. Ecol. 18, 75–82 (2015).
Google Scholar
Kubart, A., Vasaitis, R., Stenlid, J. & Dahlberg, A. Fungal communities in Norway spruce stumps along a latitudinal gradient in Sweden. For. Ecol. Manag. 371, 50–58 (2016).
Google Scholar
Peay, K. G., Kennedy, P. G. & Talbot, J. M. Dimensions of biodiversity in the earth mycobiome. Nat. Rev. Microbiol. 14, 434–447 (2016).
Google Scholar
Manninnen, A. M., Tarhanen, S., Vuorinen, M. & Kainulainen, P. Comparing the variation of needle and wood terpenoids in Scots pine provenances. J. Chem. Ecol. 28, 211–228 (2002).
Google Scholar
Wallis, C. M., Reich, R. W., Lewis, K. J. & Huber, D. P. W. Lodgepole pine provenances differ in chemical defense capacities against foliage and stem diseases. Can. J. For. Res. 40, 2333–2344 (2010).
Google Scholar
López-Goldar, X. et al. Genetic variation in the constitutive defensive metabolome and its inducibility are geographically structured and largely determined by demographic processes in maritime pine. J. Ecol. 107, 2464–2477 (2019).
Google Scholar
Fukuda, M., Iehara, T. & Matsumoto, M. Carbon stock estimates for sugi and hinoki forests in Japan. For. Ecol. Manag. 184, 1–16 (2003).
Google Scholar
Forestry Agency of Japan. 2011 Forestry Census (Forestry Agency, 2011).
Memari, H. R., Pazouski, L. & Niinemets, U. The biochemistry and molecular biology of volatile messengers in trees. In Biology, Controls and Models of Tree Volatile Organic Compound Emissions (eds Niinemets, U. & Monson, R. K.) 47–93 (Springer, 2013).
Kimura, M. K. et al. Evidence for cryptic northern refugia in the last glacial period in Cryptomeria japonica. Ann. Bot. 114, 1687–1700 (2014).
Google Scholar
Nishizono, T., Kitahara, F., Iehara, T. & Mitsuda, Y. Geographical variation in age-height relationships for dominant trees in Japanese cedar (Cryptomeria japonica D. Don) forests in Japan. J. For. Res. 19, 305–316 (2014).
Google Scholar
Ohta, T., Niwa, S. & Hiura, T. Geographical variation in Japanese cedar shapes soil nutrient dynamics and invertebrate community. Plant Soil 437, 355–373 (2019).
Google Scholar
Moreira, X. et al. Trade-offs between constitutive and induced defences drive geographical and climatic clines in pine chemical defences. Ecol. Lett. 17, 537–546 (2014).
Google Scholar
Suzuki, K., Aihara, H. & Yamada, T. Diseases of Sugi (Cryptomeria japonica) and Hinoki (Chamaecyparis obtusa) predisposed by weather conditions. Bull. Univ. Tokyo For. 77, 39–48 (1987).
Cheng, S. S., Lin, H. Y. & Chang, S. T. Chemical composition and antifungal activity of essential oils from different tissuee of Japanese Cedar (Cryptomeria japonica).. J. Agr. Food Chem. 53, 614–619 (2005).
Google Scholar
Hirooka, Y., Masuya, H., Akiba, M. & Kubono, T. Sydowia japonica, a new name for Leptosphaerulina japonica based on morphological and molecular data. Mycol. Prog. 12, 173–183 (2013).
Google Scholar
Kobayashi, T. & Katsumoto, K. Illustrated Genera of Plant Pathogenic Fungi in Japan (Zenkoku-Noson-Kyoiku Kyokai Publishing, 1992).
Rizzo, D. M., Rentmeester, R. M. & Burdsall, H. H. Jr. Sexuality and somatic incompatibility in Phellinus gilvus. Mycologia 87, 805–820 (1995).
Google Scholar
Homma, H. et al. Lignin-degrading activitu of edible mushroom Strobilurus ohshimae that forms fruiting bodies on buries sugi (Cryptomeria japonica) twigs. J. Wood Sci. 53, 80–84 (2007).
Google Scholar
Ota, Y. et al. Taxonomy and phylogenetic position of Fomitiporia torreyae, a causal agent of trunk rot on Sanbu-sugi, a cultivar of Japanese cedar (Cryptomeria japonica) in Japan. Mycologia 106, 66–76 (2014).
Google Scholar
Fukui, Y., Miyamoto, T., Tamai, Y., Koizumi, A. & Yajima, T. Use of DNA sequence data to identify wood-decay fungi likely associated with stem failure caused by windthrow in urban trees during a typhoon. Trees 32, 1147–1156 (2018).
Google Scholar
Kusumoto, N. & Shibutani, S. Evaporation of volatiles from essential oils of Japanese conifers enhances antifungal activity. J. Essential Oil Res. 27, 380–394 (2015).
Google Scholar
Yamamoto, H., Noguchi, Y. & Suzuki, J. Synthesis of antibacterial terpenes by photooxidation of terpenes obtained from Cryptomeria japonica D. Don. Bull. Edu. Ibaraki Univ. 46, 53–62 (1997).
Mukai, A., Takahashi, K., Kofujita, H. & Ashitani, T. Antitermite and antifungal activities of thujopsene natural autoxidation products. Eur. J. Wood Prod. 77, 311–317 (2018).
Google Scholar
Lee, G. W. et al. Direct suppression of a rice bacterial blight (Xanthomonas oryzae pv. oryzae) by monoterpene (S)-limonene. Protoplasma 253, 683–690 (2016).
Google Scholar
Rodriguez, A. et al. Engineering D-limonen synthase down regulation in orange fruit induces resistance against the fungus Phyllosticta citricarpa through enhanced accumulation of monoterpene alcohols and activation of defence. Mol. Plant Pathol. 19, 2077–2093 (2018).
Google Scholar
Matsunaga, S. N. et al. Determination and potential importance of diterpene (kaur-16-ene) emitted from dominant coniferous trees in Japan. Chemosphere 87, 886–893 (2012).
Google Scholar
Niinemets, Ü., Fares, S., Harley, P. & Jardine, K. J. Bidirectional exchange of biogenic volatiles with vegetation: emission sources, reactions, breakdown and deposition. Plant Cell Environ. 37, 1790–1809 (2014).
Google Scholar
Yáñez-Serrano, A. M. et al. Volatile diterpene emission by two Mediterranean Cistaceae shrubs. Sci. Rep. https://doi.org/10.1038/s41598-018-25056-w (2018).
Google Scholar
Miyama, T. et al. Seasonal changes in interclone variation following ozone exposure on three major gene pools: an analysis of Cryptomeria japonica clones. Atmosphere 10, 643. https://doi.org/10.3390/atmos10110643 (2019).
Google Scholar
Ponzio, C., Gols, R., Pieterse, C. M. J. & Dicke, M. Ecological and phytohormonal aspects of plant volatile emission in response to single and dual infeststions with herbivores and phytopathogens. Fuct. Ecol. 27, 587–598 (2013).
Google Scholar
Salazar, D. et al. Origin and maintenance of chemical diversity in a species-rich tropical tree lineage. Nat. Ecol. Evol. 2, 983–990 (2018).
Google Scholar
Japan Meteorological Agency. Mesh Climate Data of Japan (Japan Meteorological Agency, 2014).
Kimura, M. K. et al. Effects of genetic and environmental factors on clonal reproduction in old-growth natural populations of Cryptomeria japonica. For. Ecol. Manag. 304, 10–19 (2013).
Google Scholar
Yasue, M. et al. Geographical differentiation of natural Cryptomeria stands analyzed by diterpene hydrocarbon constituents of individual trees. J. Jpn. For. Soc. 69, 152–156 (1987).
Tsumura, Y. et al. Genetic differentiation and evolutionary adaptation in Cryptomeria japonica. G3 4, 2389–2402 (2014).
Google Scholar
R Core Team. R: A Language and Environment for Statistical Computing (R Foundation for Statistical Computing, Vienna, Austria, 2020).
Egozcue, J. J., Pawlowsky-Glahn, V., Mateu-Figueras, G. & Barceló-Vidal, C. Isometric logratio transformations for compositional data analysis. Math. Geol. 35, 279–300 (2003).
Google Scholar
van den Boogaart, K. G. & Tolosana-Delgado, R. Analyzing Compositional Data in R (Springer, 2013).
Kobayashi, T. Index of fungi inhabiting woody plants in Japan–Host, Distribution and Literature (Zenkoku-Noson-Kyoiku Kyokai Publishing, 2007).
Oksanen, J. et al. Vegan: Community Ecology Package, Version 2.5-6. http://CRAN.R-project.org/package=vegan (2019).
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