Cite

Alberto, F. J., Aitken, S. N., Alía, R., González-Martínez, S. C., Hänninen, H., Kremer, A. et al., 2013: Potential for evolutionary responses to climate change evidence from tree populations. Global Change Biology, 19:1645–1661.Search in Google Scholar

Besnard, G., Achère, V., Faivre Rampant, P., Favre, J. M., Jeandroz, S., 2003: A set of cross-species amplifying microsatellite markers developed from DNA sequence databanks in Picea (Pinaceae). Molecular Ecology Notes, 3:380–383.Search in Google Scholar

Bräutigam, K., Vining, K. J., Lafon-Placette, C., Fossdal, C. G., Mirouze, M., Marcos, J. G. et al., 2013: Epigenetic regulation of adaptive responses of forest tree species to the environment. Ecology and Evolution, 3:399–415.Search in Google Scholar

Brommer, J. E., 2011: Whither PST? The approximation of QST by PST in evolutionary and conservation biology. Journal of Evolutionary Biology, 24:1160–1168.Search in Google Scholar

Browne, L., MacDonald, B., Fitz-Gibbon, S., Wright, J. W., Sork, V. L., 2021: Genome-wide variation in DNA methylation predicts variation in leaf traits in an ecosystem-foundational oak species. Forests, 12:569.Search in Google Scholar

Bruce, T. J. A., Matthes, M. C., Napier, J. A., Pickett, J. A., 2007: Stressful “memories” of plants: evidence and possible mechanisms. Plant Science, 173:603–608.Search in Google Scholar

Burczyk, J., Lewandowski, A., Chalupka, W., 2004: Local pollen dispersal and distant gene flow in Norway spruce (Picea abies [L.] Karst.). Forest Ecology and Management, 197:39–48.Search in Google Scholar

Čepl, J., Holá, D., Stejskal, J., Korecký, J., Kočová, M., Lhotáková, Z. et al., 2016: Genetic variability and heritability of chlorophyll a fluorescence parameters in Scots pine (Pinus sylvestris L.). Tree Physiology, 36:883–895.Search in Google Scholar

Chapuis, M.-P., Estoup, A., 2007: Microsatellite null alleles and estimation of population differentiation. Molecular Biology and Evolution, 24:621−631.Search in Google Scholar

Comps, B., Gömöry, D., Letouzey, J., Thiébaut, B., Petit, R. J., 2001: Diverging trends between heterozygosity and allelic richness during postglacial colonization in the European beech. Genetics, 157:389–397.Search in Google Scholar

Doyle, J. J., Doyle, J. L., 1987: A rapid DNA isolation procedure for small quantities of fresh leaf tissue. Phytochemistry Bulletin, 19:11–15.Search in Google Scholar

Earl, D. A., 2012: Structure harvester: A website and program for visualizing Structure output and implementing the Evanno method. Conservation Genetics Resources, 4:359–361.Search in Google Scholar

Evanno, G., Regnaut, S., Goudet, J., 2005: Detecting the number of clusters of individuals using the software Structure: a simulation study. Molecular Ecology, 14:2611–2620.Search in Google Scholar

Feng, Z. Z., Yuan, X. Y., Fares, S., Loreto, F., Li, P., Hoshika, Y. et al., 2019: Isoprene is more affected by climate drivers than monoterpenes: A meta-analytic review on plant isoprenoid emissions. Plant Cell & Environment, 42:1939–1949.Search in Google Scholar

Fluch, S., Burg, A., Kopecky, D., Homolka, A., Spiess, N., Vendramin, G. G., 2011: Characterization of variable EST SSR markers for Norway spruce (Picea abies L.). BMC Research Notes, 4:401.Search in Google Scholar

Gömöry, D., 1992: Effect of stand origin on the genetic diversity of Norway spruce (Picea abies Karst.) populations. Forest Ecology and Management, 54:215–223.Search in Google Scholar

Gömöry, D., Himanen, K., Tollefsrud, M. M., Uggla, C., Kraigher, H., Bordács, S. et al., 2021: Genetic aspects in production and use of forest reproductive material: Collecting scientific evidence to support the development of guidelines and decision support tools. European Forest Genetic Resources Programme, European Forest Institute, Barcelona, 216 p.Search in Google Scholar

Hájíčková, M., Plichta, R., Urban, J., Volařík, D., Gebauer, R., 2021: Low resistance but high resilience to drought of flushing Norway spruce seedlings. Tree Physiology, 41:1848–1860.Search in Google Scholar

Haselhorst, M. S. H., Parchman, T. L., Buerkle, C. A., 2019: Genetic evidence for species cohesion, substructure and hybrids in spruce. Molecular Ecology, 28:2029–2045.Search in Google Scholar

Jakobsson, M., Rosenberg, N. A., 2007: CLUMPP: a cluster matching and permutation program for dealing with label switching and multimodality in analysis of population structure. Bioinformaticst, 23:1801–1806.Search in Google Scholar

Jandl, R., 2020: Climate-induced challenges of Norway spruce in Northern Austria. Trees For People, 1:100008.Search in Google Scholar

Jordan, R., Prober, S. M., Hoffmann, A. A., Dillon, S. K., 2020: Combined analyses of phenotype, genotype and climate implicate local adaptation as a driver of diversity in Eucalyptus macrocarpa (Grey Box). Forests, 11:495.Search in Google Scholar

Kleiber, A., Duan, Q. X., Jansen, K., Junker, L. V., Kammerer, B., Rennenberg, H. et al., 2017: Drought effects on root and needle terpenoid content of a coastal and an interior Douglas fir provenance. Tree Physiology, 37:1648.Search in Google Scholar

König, A., 2005: Provenance research: evaluation the spatial pattern of genetic variation. In: Geburek, T., Turok, J. (eds.): Conservation and Management of Forest Genetic Resources in Europe. Arbora Publishers, Zvolen and IPGRI, Rome, p. 275–334.Search in Google Scholar

Konnert, M., Fady, B., Gömöry, D., A’Hara, S., Wolter, F., Ducci, F. et al., 2015: Use and transfer of forest reproductive material in Europe in the context of climate change. European Forest Genetic Resources Programme, Bioversity International, Rome, xvi and 75 p.Search in Google Scholar

Kopaczyk, J. M., Wargula, J., Jelonek, T., 2020: The variability of terpenes in conifers under developmental and environmental stimuli. Environmental and Experimental Botany, 180:104–197.Search in Google Scholar

Latalowa, M., van der Knaap, W. O., 2006: Late Quaternary expansion of Norway spruce Picea abies [L.] Karst. in Europe according to pollen data. Quaternary Science Reviews, 25:2780–2805.Search in Google Scholar

Leinonen, T., Cano, J. M., Mäkinen, H., Merilä, J., 2006: Contrasting patterns of body shape and neutral genetic divergence in marine and lake populations of threespine sticklebacks. Journal of Evolutionary Biology, 19:1803–1812.Search in Google Scholar

Leinonen, T., O’Hara, R. B., Cano, J. M., Merilä, J., 2008: Comparative studies of quantitative trait and neutral marker divergence: a metaanalysis. Journal of Evolutionary Biology, 21:1–17.Search in Google Scholar

Lepais, O., Bacles, C. F., 2014: Two are better than one: combining landscape genomics and common gardens for detecting local adaptation in forest trees. Molecular Ecology, 23:4671–4673. Search in Google Scholar

Lévesque, M., Saurer, M., Siegwolf, R., Eilmann, B., Brang, P., Bugmann, H. et al., 2013: Drought response of five conifer species under contrasting water availability suggests high vulnerability of Norway spruce and European larch. Global Change Biology, 19:3184–3199.Search in Google Scholar

Li, L., Zhang, Q., Huang, D. F., 2014: A review of imaging techniques for plant phenotyping. Sensors 14:20078–20111.Search in Google Scholar

Loreto, F., Schnitzler, J. P., 2010: Abiotic stresses and induced BVOCs. Trends in Plant Science, 15:154–166Search in Google Scholar

Lüpke, M., Leuchner, M., Steinbrecher, R., Menzel, A., 2016: Impact of summer drought on isoprenoid emissions and carbon sink of three Scots pine provenances. Tree Physiology, 36:1382–1399.Search in Google Scholar

Marozas, V., Augustaitis, A., Pivoras, A., Baumgarten, M. et al., 2019: Comparative analyses of gas exchange characteristics and chlorophyll fluorescence of three dominant tree species during the vegetation season in hemi-boreal zone, Lithuania. Journal of Agricultural Meteorology, 75:3–12.Search in Google Scholar

McKay, J. K., Latta, R. G., 2002: Adaptive population divergence: markers, QTL and traits. Trends in Ecology and Evolution, 17:285–291.Search in Google Scholar

Meirmans, P. G., 2012: The trouble with isolation by distance. Molecular Ecology, 21:2839–2846.Search in Google Scholar

Merilä, J., Crnokrak, P., 2001: Comparison of genetic differentiation at marker loci and quantitative traits. Journal of Evolutionary Biology, 14:892–903.Search in Google Scholar

Merilä, J., Hendry, A. P., 2014: Climate change, adaptation, and phenotypic plasticity: the problem and the evidence. Evolutionary Applications, 7:1–14.Search in Google Scholar

Mosca, E., Di Pierro, E. A., Budde, K. B., Neale, D. B., González-Martínez, S. C., 2018: Environmental effects on fine-scale spatial genetic structure in four Alpine keystone forest tree species. Molecular Ecology, 27:647–658.Search in Google Scholar

O’Connell, L. M., Mosseler, A., Rajora, O. P., 2007: Extensive long distance pollen dispersal in a fragmented landscape maintains genetic diversity in white spruce. Journal of Heredity, 98:640–645.Search in Google Scholar

Pollastrini, M., Nogales, A. G., Benavides, R., Bonal, D., Finer, L., Fotelli, M. et al., 2017: Tree diversity affects chlorophyll a fluorescence and other leaf traits of tree species in a boreal forest. Tree Physiology, 37:199–208.Search in Google Scholar

Pritchard, J. K., Stephens, M., Donnelly, P., 2000: Inference of population structure from multilocus geno-type data. Genetics, 155:945–959.Search in Google Scholar

Pujol, B., Wilson, A. J., Ross, R. I. C., Pannell, J. R., 2008: Are QSTFST comparisons for natural populations meaningful? Molecular Ecology, 17:4782–4785.Search in Google Scholar

Ravazzi, C., 2002: Late Quaternary history of spruce in southern Europe. Review of Palaeobotany and Palynology, 120:131–177.Search in Google Scholar

Roberts, D. A., Roth, K. L., Wetherley, E. B., Meerdink, S. K., Perroy, R. L., 2018: Hyperspectral vegetation indices. In: Thenkabail, P. S., Lyon, J. G., Huete, A. (eds.): Hyperspectral Indices and Image Classifications for Agriculture and Vegetation. CRC Press, Boca Raton (FL), p. 3–26.Search in Google Scholar

Rungis, D., Berube, Y., Zhang, J., Ralph, S. et al., 2004: Robust simple sequence repeat markers for spruce (Picea spp.) from expressed sequence tags. Theoretical and Applied Genetics. 109:1283–1294.Search in Google Scholar

Savolainen, O., Pyhäjärvi, T., Knürr, T., 2007: Gene flow and local adaptation in trees. Annual Reviews in Ecology, Evolution and Systematics, 38:595–619.Search in Google Scholar

Schurman, J. S., Trotsiuk, V., Bače, R., Čada, V. et al., 2018: Large-scale disturbance legacies and the climate sensitivity of primary Picea abies forests. Global Change Biology, 24:2169–2181.Search in Google Scholar

Scotti, I., Magni, F., Fink, R., Powell, W., Binelli, G., Hedley, P., 2000: Microsatellite repeats are not randomly distributed within Norway spruce (Picea abies Karst.) expressed sequences. Genome, 43:41–46.Search in Google Scholar

Spitze, K., 1993: Population structure in Daphnia obtusa – quantitative genetic and allozymic variation. Genetics, 135:367–374.Search in Google Scholar

Tattini, M., Loreto, F., Fini, A., Guidi, L., Brunetti, C., Velikova, V. et al., 2015: Isoprenoids and phenylpropanoids are part of the antioxidant defense orchestrated daily by drought-stressed Platanus × acerifolia plants during Mediterranean summers. New Phytolo-gist, 207:613–626.Search in Google Scholar

Teskey, R., Wertin, T., Bauweraerts, I., Ameye, M., McGuire, M. A., Steppe, K., 2015: Responses of tree species to heat waves and extreme heat events. Plant Cell & Environment, 38:1699–1712.Search in Google Scholar

Tognetti, R., Michelozzi, M., Lauteri, M., Brugnoli, E., Giannini, R., 2000: Geographic variation in growth, carbon isotope discrimination, and monoterpene composition in Pinus pinaster Ait. provenances. Canadian Journal of Forest Research, 30:1682–1690. Search in Google Scholar

Tollefsrud, M. M., Kissling, R., Gugerli, F., Johnsen, Ø., Skrøppa, T., Cheddadi, R. et al., 2008: Genetic consequences of glacial survival and postglacial colonization in Norway spruce: combined analysis of mitochondrial DNA and fossil pollen. Molecular Ecology, 17:4134–4150.Search in Google Scholar

Turtola, S., Manninen, A. M., Rikala, R., Kainulainen, P., 2003: Drought stress alters the concentration of wood terpenoids in Scots pine and Norway spruce seedlings. Journal of Chemical Ecology, 29:1981–1995.Search in Google Scholar

Ullah, A., Manghwar, H., Shaban, M., Khan, A. H., Akbar, A., Ali, U. et al., 2018: Phytohormones enhanced drought tolerance in plants: a coping strategy. Environmental Science and Pollution Research, 25:33103–33118. Search in Google Scholar

van Meeningen, Y., Wang, M., Karlsson, T., Seifert, A., Schurgers, G., Rinnan, R. et al., 2017: Isoprenoid emission variation of Norway spruce across a European latitudinal transect. Atmospheric Environment, 170:45–57.Search in Google Scholar

Vasemägi, A., Primmer, C. R., 2005: Challenges for identifying functionally important genetic variation: the promise of combining complementary research strategies. Molecular Ecology 14:3623–3642.Search in Google Scholar

Verta, J. P., Landry, C. R., MacKay, J. J., 2013: Are long-lived trees poised for evolutionary change? Single locus effects in the evolution of gene expression networks in spruce. Molecular Ecology, 22:2369–2379.Search in Google Scholar

Vitali, V., Forrester, D. I., Bauhus, J., 2018: Know your neighbours: drought response of Norway spruce, silver fir and Douglas fir in mixed forests depends on species identity and diversity of tree neighbourhoods. Ecosystems, 21:1215–1229. Search in Google Scholar

Wilkinson, S., Davies, W. J., 2010: Drought, ozone, ABA and ethylene: new insights from cell to plant to community. Plant Cell & Environment, 33:510–525. Search in Google Scholar

Winner, W. E., Thomas, S. C., Berry, J. A., Bond, B. J., Cooper, C. E., Hinckley, T. M. et al., 2004: Canopy carbon gain and water use: Analysis of old-growth conifers in the Pacific Northwest. Ecosystems, 7:482–497.Search in Google Scholar

Wright, S., 1951: The genetical structure of populations. Annals of Eugenics 15:323–354.Search in Google Scholar

Yazdani, R., Rudin, D., Aldén, T., Lindgren, D., Harbom, B., Ljung, K., 1982: Inheritance pattern of 5 monoterpenes in Scots pine (Pinus sylvestris L). Hereditas, 97:261–272. Search in Google Scholar

European Communities, 1999: Council Directive 1999/105/EC of 22 December 1999 on the marketing of forest reproductive material. Search in Google Scholar

eISSN:
2454-0358
Idioma:
Inglés
Calendario de la edición:
4 veces al año
Temas de la revista:
Life Sciences, Plant Science, Ecology, other