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Chemical Traits that Predict Susceptibility of Pinus radiata to Marsupial Bark Stripping

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Abstract

Bark stripping by mammals is a major problem in managed conifer forests worldwide. In Australia, bark stripping in the exotic plantations of Pinus radiata is mainly caused by native marsupials and results in reduced survival, growth, and in extreme cases death of trees. Herbivory is influenced by a balance between primary metabolites that are sources of nutrition and secondary metabolites that act as defences. Identifying the compounds that influence herbivory may be a useful tool in the management of forest systems. This study aimed to detect and identify both constitutive and induced compounds that are associated with genetic differences in susceptibility of two-year-old P. radiata trees to bark stripping by marsupials. An untargeted profiling of 83 primary and secondary compounds of the needles and bark samples from 21 susceptible and 21 resistant families was undertaken. These were among the most and least damaged families, respectively, screened in a trial of 74 families that were exposed to natural field bark stripping by marsupials. Experimental plants were in the same field trial but protected from bark stripping and a subset were subjected to artificial bark stripping to examine induced and constitutive chemistry differences between resistant and susceptible families. Machine learning (random forest), partial least squares plus discriminant analysis (PLS-DA), and principal components analysis with discriminant analysis (PCA-DA), as well as univariate methods were used to identify the most important totals by compound group and individual compounds differentiating the resistant and susceptible families. In the bark, the constitutive amount of two sesquiterpenoids — bicyclogermacrene and an unknown sesquiterpenoid alcohol —were shown to be of higher levels in the resistant families, whereas the constitutive sugars, fructose, and glucose, as well individual phenolics, were higher in the more susceptible families. The chemistry of the needles was not useful in differentiating the resistant and susceptible families to marsupial bark stripping. After artificial bark stripping, the terpenes, sugars, and phenolics responded in both the resistant and susceptible families by increasing or reducing amounts, which leveled the differences in the amounts of the compounds between the different resistant and susceptible classes observed at the constitutive level. Overall, based on the families with extreme values for less and more susceptibility, differences in the amounts of secondary compounds were subtle and susceptibility due to sugars may outweigh defence as the cause of the genetic variation in bark stripping observed in this non-native tree herbivory system.

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References

  • Achotegui-Castells A, Llusià J, Hódar JA, Peñuelas J (2013) Needle terpene concentrations and emissions of two coexisting subspecies of Scots pine attacked by the pine processionary moth (Thaumetopoea pityocampa). Acta Physiol Plant 35:3047–3058

    Article  CAS  Google Scholar 

  • Agrawal AA, Weber MG (2015) On the study of plant defence and herbivory using comparative approaches: how important are secondary plant compounds. Ecol Lett 18:985–991

    Article  PubMed  Google Scholar 

  • Amri I, Hanana M, Gargouri S, Jamoussi B, Hamrouni L (2013) Comparative study of two coniferous species (Pinus pinaster Aiton and Cupressus sempervirens L. var. dupreziana [A. Camus] Silba) essential oils: chemical composition and biological activity. Chilean Journal of Agricultural Research 73:259–266

    Article  Google Scholar 

  • Boyle RR (1999) The metabolic fate of dietary terpenes in folivorous marsupials. University of Tasmania, Hobart

    Google Scholar 

  • Bredsdorff L, Wedebye EB, Nikolov NG, Hallas-Møller T, Pilegaard K (2015) Raspberry ketone in food supplements – High intake, few toxicity data – A cause for safety concern? Regul Toxicol Pharmacol 73:196–200

    Article  PubMed  CAS  Google Scholar 

  • Breiman L (2001) Random forests. Mach Learn 45:5–32

    Article  Google Scholar 

  • Bucyanayandi JD, Bergeron J-M, Menard H (1990) Preference of meadow voles (Microtus pennsylvanicus) for conifer seedlings: chemical components and nutritional quality of bark of damaged and undamaged trees. J Chem Ecol 16:2569–2579

    Article  PubMed  CAS  Google Scholar 

  • Butler DG, Cullis BR, Gilmour AR, Gogel BJ (2009) ASReml-R reference manual. In. ' Version 3 edn. pp. 149. (Queensland Government Department of Primary Industries and Fisheries: Brisbane, Qld)

  • Carmona D, Lajeunesse MJ, Johnson MTJ (2011) Plant traits that predict resistance to herbivores. Funct Ecol 25:358–367

    Article  Google Scholar 

  • Celedon JM, Bohlmann J (2019) Oleoresin defenses in conifers: chemical diversity, terpene synthases and limitations of oleoresin defense under climate change. New Phytol 224:1444–1463

    Article  PubMed  CAS  Google Scholar 

  • Chen T, Cao Y, Zhang Y, Liu J, Bao Y, Wang C, Jia W, Zhao A (2013) Random forest in clinical metabolomics for phenotypic discrimination and biomarker selection. Evidence-Based Complementary and Alternative Medicine 2013:11

    Google Scholar 

  • Clancy KM (1992) The role of sugars in western spruce budworm nutritional ecology. Ecological Entomology 17:189–197

    Article  Google Scholar 

  • Danielsson M, Lundén K, et al. (2011) Chemical and transcriptional responses of Norway spruce genotypes with different susceptibility to Heterobasidion spp. infection. BMC Plant Biology 11, 154.

  • DPIPWE (2019) Annual state-wide spotlight surveys, Tasmania 2018/19. Regional summary: priority harvested species. In. ' Ed. DoPIPWa Environment). (Tasmanian Government: Tasmania)

  • El-Merhibi A, Ngo SNT, Jones BR, Milic NL, Stupans I, McKinnon RA (2007) Molecular insights into xenobiotic disposition in Australian marsupials. Australasian Journal of Ecotoxicology 13:7–18

    Google Scholar 

  • Farentinos RC, Capretta PJ, Kepner RE, Littlefield VM (1981) Selective herbivory in tassel-eared squirrels: role of monoterpenes in ponderosa pines chosen as feeding trees. Science 213:1273–1275

    Article  PubMed  CAS  Google Scholar 

  • Felicijan M, Novak M, Kraševec N, Urbanek Krajnc A (2015) Antioxidant defences of Norway spruce bark against bark beetles and its associated blue-stain fungus. Agricultura 12:9–18

    Article  Google Scholar 

  • Franceschi VR, Krokene P, Christiansen E, Krekling T (2005) Anatomical and chemical defenses of conifer bark against bark beetles and other pests. New Phytol 167:353–376

    Article  PubMed  CAS  Google Scholar 

  • Ganthaler A, Stöggl W, Kranner I, Mayr S (2017) Foliar phenolic compounds in Norway spruce with varying susceptibility to Chrysomyxa rhododendri: analyses of seasonal and infection-induced accumulation patterns. Frontiers in Plant Science 8.

  • Gershenzon J (1994) Metabolic costs of terpenoid accumulation in higher plants. J Chem Ecol 20:1281–1328

    Article  PubMed  CAS  Google Scholar 

  • Gill RMA (1992) A review of damage by mammals in north temperate forests: 1 Deer. Forestry 65:145–169

    Article  Google Scholar 

  • Goodsman DW, Lusebrink I, Landhäusser SM, Erbilgin N, Lieffers VJ (2013) Variation in carbon availability, defense chemistry and susceptibility to fungal invasion along the stems of mature trees. New Phytol 197:586–594

    Article  PubMed  CAS  Google Scholar 

  • Gromski PS, Muhamadali H, Ellis DI, Xu Y, Correa E, Turner ML, Goodacre R (2015) A tutorial review: Metabolomics and partial least squares-discriminant analysis–a marriage of convenience or a shotgun wedding. Anal Chim Acta 879:10–23

    Article  PubMed  CAS  Google Scholar 

  • Hammerbacher A, Ralph SG, Bohlmann J, Fenning TM, Gershenzon J, Schmidt A (2011) Biosynthesis of the Major Tetrahydroxystilbenes in Spruce, Astringin and Isorhapontin, Proceeds via Resveratrol and Is Enhanced by Fungal Infection. Plant Physiol 157:876

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  • Hansson L, Gref R, Lundren L, Theander O (1986) Susceptibility to vole attacks due to bark phenols and terpenes in Pinus contorta provenances introduced into Sweden. J Chem Ecol 12:1569–1578

    Article  PubMed  CAS  Google Scholar 

  • Hummelbrunner LA, Isman MB (2001) Acute, sublethal, antifeedant, and synergistic effects of monoterpenoid essential oil compounds on the tobacco cutworm, Spodoptera litura (Lep., Noctuidae). J Agric Food Chem 49:715–720

    Article  PubMed  CAS  Google Scholar 

  • Iason G, Palo R (1991) Effects of birch phenolics on a grazing and a browsing mammal: a comparison of hares. J Chem Ecol 17:1733–1743

    Article  PubMed  CAS  Google Scholar 

  • Iason GR, O’Reilly-Wapstra JM, Brewer MJ, Summers RW, Moore BD (2011) Do multiple herbivores maintain chemical diversity of Scots pine monoterpenes? Philosophical Transactions of the Royal Society b: Biological Sciences 366:1337–1345

    Article  Google Scholar 

  • Johnson KS, Felton GW (2001) Plant phenolics as dietary antioxidants for herbivorous insects: A test with genetically modified tobacco. J Chem Ecol 27:2579–2597

    Article  PubMed  CAS  Google Scholar 

  • Jombart T, Collins C (2015) A tutorial for discriminant analysis of principal components (DAPC) using adegenet 2.0.0. In. ’. London, Imperial College London, MRC Centre for Outbreak Analysis and Modelling. http://adegenet.r-forge.r-project.org/files/tutorial-dapc.pdf. Accessed 20 Nov 2020

  • Keeling CI, Bohlmann J (2006) Genes, enzymes and chemicals of terpenoid diversity in the constitutive and induced defence of conifers against insects and pathogens. New Phytol 170:657–675

    Article  PubMed  CAS  Google Scholar 

  • Kimball BA, Nolte DL, Engeman RM, Johnston JJ, Stermitz FR (1998) Chemically mediated foraging preference of black bears (Ursus americanus). J Mammal 79:448–456

    Article  Google Scholar 

  • Kurek T, Todys J, Pazdrowski W, Szymański M, Łukowski A (2019) Intensity of stripping and sugar content in the bark and the bast of European beech (Fagus sylvatica). Open Life Sciences 14:19–28

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  • Lebouvier N, Hue T, Hnawia E, Lesaffre L, Menut C, Nour M (2013) Acaricidal activity of essential oils from five endemic conifers of New Caledonia on the cattle tick Rhipicephalus (Boophilus) microplus. Parasitol Res 112:1379–1384

    Article  PubMed  Google Scholar 

  • Lee SY, Mediani A, Maulidiani M, Khatib A, Ismail IS, Zawawi N, Abas F (2018) Comparison of partial least squares and random forests for evaluating relationship between phenolics and bioactivities of Neptunia oleracea. J Sci Food Agric 98:240–252

    Article  PubMed  CAS  Google Scholar 

  • Li C-Y, Weiss D, Goldschmidt EE (2003) Girdling affects carbohydrate-related gene expression in leaves, bark and roots of alternate-bearing citrus trees. Ann Bot 92:137–143

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  • Lindroth RL, Batzli GO (1984) Plant phenolics as chemical defenses: effects of natural phenolics on survival and growth of prairie voles (Microtus ochrogaster). J Chem Ecol 10:229–244

    Article  PubMed  CAS  Google Scholar 

  • López-Goldar X, Villari C, Bonello P, Borg-Karlson A-K, Grivet D, Zas R, Sampedro L (2018) Inducibility of plant secondary metabolites in the stem predicts genetic variation in resistance against a key insect herbivore in maritime pine. Frontiers in Plant Science 9.

  • Lundborg L (2016) Effects of methyl jasmonate on chemical defenses of conifer seedlings in relation to feeding by Hylobius abietis. Doctoral thesis Thesis, KTH Royal Institute of Technology, Stockholm

  • Madan SS, Wasewar KL, Pandharipande SL (2016) Modeling the adsorption of benzeneacetic acid on CaO2 nanoparticles using artificial neural network. Resource-Efficient Technologies 2:S53–S62

    Article  Google Scholar 

  • Mead DJ (2013) Sustainable management of Pinus radiata plantations. Rome, Food and Agriculture Organization of the United Nations (FAO)

    Google Scholar 

  • Mendez KM, Reinke SN, Broadhurst DI (2019) A comparative evaluation of the generalised predictive ability of eight machine learning algorithms across ten clinical metabolomics data sets for binary classification. Metabolomics 15:150

    Article  PubMed  PubMed Central  Google Scholar 

  • Miller A, O'Reilly-Wapstra J, Potts B (2014) Genetic variation in bark stripping among Pinus radiata. National Centre for Future Forest Industries, Hobart.

  • Moore BD, DeGabriel JL (2012) Integrating the effects of PSMs on vertebrate herbivores across spatial and temporal scales. In 'The ecology of plant secondary metabolites: from genes to global processes. Vol. 226. (Eds GR Iason, M Dicke and SE Hartley). (Cambridge University Press: Cambridge).

  • Moreira X, Lundborg L, Zas R, Carrillo-Gavilán A, Borg-Karlson A-K, Sampedro L (2013a) Inducibility of chemical defences by two chewing insect herbivores in pine trees is specific to targeted plant tissue, particular herbivore and defensive trait. Phytochemistry 94:113–122

    Article  PubMed  CAS  Google Scholar 

  • Moreira X, Zas R, Sampedro L (2013b) Additive genetic variation in resistance traits of an exotic pine species: little evidence for constraints on evolution of resistance against native herbivores. Heredity 110:449–456

    Article  PubMed  CAS  Google Scholar 

  • Moreira X, Zas R, Sampedro L (2012) Differential allocation of constitutive and induced chemical defenses in pine tree juveniles: a test of the optimal defense theory. PLoS One 7, e34006.

  • Morkunas I, Ratajczak L (2014) The role of sugar signaling in plant defense responses against fungal pathogens. Acta Physiol Plant 36:1607–1619

    Article  CAS  Google Scholar 

  • Mumm R, Hilker M (2006) Direct and indirect chemical defence of pine against folivorous insects. Trends Plant Sci 11:351–358

    Article  PubMed  CAS  Google Scholar 

  • Nantongo JS, Potts BM, Fitzgerald H, Newman J, Elms S, Aurik D, Dungey H, O’Reilly-Wapstra JM (2020) Quantitative genetic variation in bark stripping of Pinus radiata. Forests 11:1356

    Article  Google Scholar 

  • Nantongo JS, Potts B, Rodemann T, Fitzgerald H, Davies N, O’Reilly-Wapstra J (2021a) Developing near infrared spectroscopy models for predicting chemistry and responses to stress in Pinus radiata (D. Don). Journal of Near Infrared Spectroscopy, 09670335211006526.

  • Nantongo JS, Potts BM, Rodemann T, O'Reilly-Wapstra JM (2021b) Linking genetics and chemistry to minimise bark stripping in Pinus radiata. PhD Thesis Thesis, University of Tasmania,

  • O’Reilly-Wapstra JM, Iason GR, Thoss V (2007) The role of genetic and chemical variation of Pinus sylvestris seedlings in influencing slug herbivory. Oecologia 152:82–91

    Article  PubMed  Google Scholar 

  • Page DE, Close D, Beadle CL, Wardlaw TJ, Mohammed CL (2013) Seasonal dynamics in understorey abundance and carbohydrate concentration in relation to browsing and bark stripping of Tasmanian Pinus radiata plantations. For Ecol Manage 296:98–107

    Article  Google Scholar 

  • Pederson JC, Welch BL (1985) Comparison of ponderosa pines as feed and nonfeed trees for Abert squirrels. J Chem Ecol 11:149–157

    Article  PubMed  CAS  Google Scholar 

  • Phillips MA, Croteau RB (1999) Resin-based defenses in conifers. Trends Plant Sci 4:184–190

    Article  PubMed  CAS  Google Scholar 

  • Preda C, Saporta G, Lévéder C (2007) PLS classification of functional data. Comput Statistics 22:223–235

    Article  Google Scholar 

  • R Core Team (2018) R: A language and environment for statistical computing. In. ’. Vienna, Austria, R Foundation for Statistical Computing

    Google Scholar 

  • Radwan MA (1972) Differences between Douglas-fir genotypes in relation to browsing preference by black-tailed deer. Can J for Res 2:250–255

    Article  CAS  Google Scholar 

  • Radwan MA, Crouch GL (1978) Selected chemical constituents and deer browsing preference of Douglas fir. J Chem Ecol 4:675–683

    Article  CAS  Google Scholar 

  • Raffa K (2014) Terpenes tell different tales at different scales: glimpses into the chemical ecology of conifer - bark beetle - microbial interactions. J Chem Ecol 40:1–20

    Article  PubMed  CAS  Google Scholar 

  • Raffa KF, Smalley EB (1995) Interaction of pre-attack and induced monoterpene concentrations in host conifer defense against bark beetle-fungal complexes. Oecologia 102:285–295

    Article  PubMed  Google Scholar 

  • Raffa KF, Mason CJ, Bonello P, Cook S, Erbilgin N, Keefover-Ring K, Klutsch JG, Villari C, Townsend PA (2017) Defense syndromes in lodgepole – whitebark pine ecosystems relate to degree of historical exposure to mountain pine beetles. Plant, Cell Environ 40:1791–1806

    Article  CAS  Google Scholar 

  • Rea RV, Hjeljord O, Härkönen S (2014) Differential selection of North American and Scandinavian conifer browse by northwestern moose (Alces alces andersoni) in winter. Acta Theriol 59:353–360

    Article  Google Scholar 

  • Reglinski T, Taylor JT, Northcott GL, Ah Chee A, Spiers M, Wohlers M, Hill RA (2017) Biochemical responses associated with induced resistance to Colletotrichum acutatum in Pinus radiata seedlings treated with methyl jasmonate and Trichoderma spp. Forest Pathology 47, e12350.

  • Roitto M, Rautio P, Markkola A, Julkunen-tiitto R, Varama M, Saravesi K, Tuomi J (2009) Induced accumulation of phenolics and sawfly performance in Scots pine in response to previous defoliation. Tree Physiol 29:207–216

    Article  PubMed  CAS  Google Scholar 

  • Roth M, Hussain A, Cale JA, Erbilgin N (2018) Successful colonization of lodgepole pine trees by mountain pine beetle increased monoterpene production and exhausted carbohydrate reserves. J Chem Ecol 44:209–214

    Article  PubMed  CAS  Google Scholar 

  • Saccenti E, Hoefsloot HCJ, Smilde AK, Westerhuis JA, Hendriks MMWB (2014) Reflections on univariate and multivariate analysis of metabolomics data. Metabolomics 10:361–374

    Article  CAS  Google Scholar 

  • Saint-Andrieux C, Bonenfant C, Toïgo C, Basille M, Klein F (2009) Factors affecting beech Fagus sylvatica bark stripping by red deer Cervus elaphus in a mixed forest. Wildl Biol 15:187–197

    Article  Google Scholar 

  • Sauve DG, Cote SD (2007) Winter forage selection in white-tailed deer at high density: balsam fir is the best of a bad choice. J Wildl Manag 71:911–914

    Article  Google Scholar 

  • Scalerandi E, Flores GA, Palacio M, Defagó MT, Carpinella MC, Valladares G, Bertoni A, Palacios SM (2018) Understanding synergistic toxicity of terpenes as insecticides: contribution of metabolic detoxification in Musca domestica. Front Plant Sci 9:1579

    Article  PubMed  PubMed Central  Google Scholar 

  • Schowalter TD (2012) Ecology and management of bark beetles (Coleoptera: Curculionidae: Scolytinae) in southern pine forests. Journal of Integrated Pest Management 3:A1–A7

    Article  Google Scholar 

  • Schwachtje J, Baldwin IT (2008) Why does herbivore attack reconfigure primary metabolism? Plant Physiol 146:845–851

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  • Seybold SJ, Huber DPW, Lee JC, Graves AD, Bohlmann J (2006) Pine monoterpenes and pine bark beetles: a marriage of convenience for defense and chemical communication. Phytochem Rev 5:143–178

    Article  CAS  Google Scholar 

  • Smith AH, Ratkowsky DA, Wardlaw TJ, Mohammed CL (2020) Ease of access to an alternative food source enables wallabies to strip bark in Tasmanian Pinus radiata plantations. Forests 11:387

    Article  Google Scholar 

  • Snyder MA (1992) Selective herbivory by Abert’s squirrel mediated by chemical variability in ponderosa pine. Ecology 73:1730–1741

    Article  Google Scholar 

  • Stutz RS, Croak BM, Proschogo N, Banks PB, McArthur C (2017) Olfactory and visual plant cues as drivers of selective herbivory. Oikos 126:259–268

    Article  Google Scholar 

  • Sunnerheim-Sjöberg K, Hämäläinen M (1992) Multivariate study of moose browsing in relation to phenol pattern in pine needles. J Chem Ecol 18:659–672

    Article  PubMed  Google Scholar 

  • Tamura N, Ohara S (2005) Chemical components of hardwood barks stripped by the alien squirrel Callosciurus erythraeus in Japan. J for Res 10:429–433

    Article  CAS  Google Scholar 

  • Vinaixa M, Samino S, Saez I, Duran J, Guinovart JJ, Yanes O (2012) A guideline to univariate statistical analysis for LC/MS-based untargeted metabolomics-derived data. Metabolites 2:775–795

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  • Vourc’h G, De Garine-Wichatitsky M, Labbé A, Rosolowski D, Martin J-L, Fritz H (2002a) Monoterpene effect on feeding choice by deer. J Chem Ecol 28:2411–2427

    Article  PubMed  Google Scholar 

  • Vourc’h G, Vila B, Gillon D, Escarré J, Guibal F, Fritz H, Clausen TP, Martin JL (2002b) Disentangling the causes of damage variation by deer browsing on young Thuja plicata. Oikos 98:271–283

    Article  Google Scholar 

  • Westoby M (1978) What are the biological bases of varied diets? Am Nat 112:627–631

    Article  Google Scholar 

  • Whitehill JGA, Yuen MMS, Henderson H, Madilao L, Kshatriya K, Bryan J, Jaquish B, Bohlmann J (2019) Functions of stone cells and oleoresin terpenes in the conifer defense syndrome. New Phytol 221:1503–1517

    Article  PubMed  CAS  Google Scholar 

  • Wiley E, Helliker B (2012) A re-evaluation of carbon storage in trees lends greater support for carbon limitation to growth. New Phytol 195:285–289

    Article  PubMed  CAS  Google Scholar 

  • Wright MN, Ziegler A (2015) ranger: A fast implementation of random forests for high dimensional data in C++ and R. J Stat Softw 77(1508):04409

    Google Scholar 

  • Zhang X, States JS (1991) Selective herbivory of ponderosa pine by Abert squirrels: a re-examination of the role of terpenes. Biochem Syst Ecol 19:111–115

    Article  CAS  Google Scholar 

  • Zou J, Cates RG (1994) Role of Douglas fir (Pseudotsuga menziesii) carbohydrates in resistance to budworm (Choristoneura occidentalis). J Chem Ecol 20:395–405

    Article  PubMed  CAS  Google Scholar 

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Acknowledgements

We thank industrial partners, Timberlands Pacific Pty Ltd and the Radiata Pine Breeding Company for the provision of genetic material. We also that Hancock Victorian Plantations and Scion for their support of the project. Judith Ssali Nantongo also acknowledges receipt of a Tasmania Graduate Research Scholarship.

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Funding for this project was under Australian Research Council (ARC) Linkage Grant LP140100602.

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Correspondence to Judith S. Nantongo.

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The experimental work for the field trials in this thesis was performed with the approval of the University of Tasmania Animal Ethics Committee (Permit No. A0015577).

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Nantongo, J.S., Potts, B.M., Davies, N.W. et al. Chemical Traits that Predict Susceptibility of Pinus radiata to Marsupial Bark Stripping. J Chem Ecol 48, 51–70 (2022). https://doi.org/10.1007/s10886-021-01307-5

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