Scientific publications

2021

Jose Alberto Ramírez-Valiente, Luis Santos del Blanco, Ricardo Alía, Juan J. Robledo-Arnuncio, Jose Climent. Adaptation of Mediterranean forest species to climate: Lessons from common garden experiments. Journal of Ecology, British Ecological Society. June 16, 2021. https://doi.org/10.1111/1365-2745.13730

Tetiana Svystun, Jenny Lundströmer, Mats Berlin, Johan Westin, Anna Maria Jönsson. Model analysis of temperature impact on the Norway spruce provenance specific bud burst and associated risk of frost damage. Forest Ecology and Management, Volume 493, 2021. https://doi.org/10.1016/j.foreco.2021.119252. (also available via https://www.sciencedirect.com/science/article/pii/S0378112721003406)

Hayatgheibi H, Haapanen M, Lundströmer J, Berlin M, Kärkkäinen K, Helmersson A. The Impact of Drought Stress on the Height Growth of Young Norway Spruce Full-Sib and Half-Sib Clonal Trials in Sweden and Finland. Forests. 2021; 12(4):498. https://doi.org/10.3390/f12040498

Serrano-León, Hernán; Ahtikoski, Anssi; Sonesson, Johan; Fady, Bruno; Lindner, Marcus; Meredieu, Céline; Raffin, Annie; Perret, Sandrine; Perot, Thomas; Orazio, Christophe (2021). From genetic gain to economic gain: simulated growth and financial performance of genetically improved Pinus sylvestris and Pinus pinaster planted stands in France, Finland and Sweden. Forestry: An International Journal of Forest Research, cpab015. https://doi.org/10.1093/forestry/cpab015

Tatiana A. Shestakova, Sven Mutke, Javier Gordo, J. Julio Camarero, Ester Sin, Jesús Pemán, Jordi Voltas. (2021). Weather as main driver for masting and stem growth variation in stone pine supports compatible timber and nut co-production. Agricultural and Forest Meteorology, Volumes 298–299, 2021, 108287. https://doi.org/10.1016/j.agrformet.2020.108287

Skrøppa T. and Steffenrem A. (2021). Performance and Phenotypic Stability of Norway Spruce Provenances, Families, and Clones Growing under Diverse Climatic Conditions in Four Nordic Countries. Forests 2021, 12(2), 230. https://doi.org/10.3390/f12020230 (This article belongs to the Special Issue Genetic Resources and Adaptive Management of Conifers in a Changing World)

2020

Ahtikoski, A.; Ahtikoski, R.; Haapanen, M.; Hynynen, J.; Kärkkäinen, K. (2020). Economic Performance of Genetically Improved Reforestation Material in Joint Production of Timber and Carbon Sequestration: A Case Study from Finland. Forests, 11, 847. https://doi.org/10.3390/f11080847.

Anssi Ahtikoski, Jouni Karhu, Roope Ahtikoski, Matti Haapanen, Jari Hynynen. (2020) Financial assessment of alternative breeding goals using stand-level optimization and data envelopment analysis. Scandinavian Journal of Forest Research, vol 35, 2020, issue 5-6. https://doi.org/10.1080/02827581.2020.1795241

Benjamin Heuclin, Frédéric Mortier, Catherine Trottier, Marie Denis. Bayesian varying coefficient model with selection: An application to functional mapping. Journal of the Royal Statistical Society: Series C Applied Statistics, Wiley, 2020, https://dx.doi.org/10.1111/rssc.12447

J. Bartholomé, A. Mabiala, R. Burlett, D. Bert, J.‐C. Leplé, C. Plomion, J‐M. Gion. (2020). The pulse of the tree is under genetic control: eucalyptus as a case study. The Plant Journal. https://doi.org/10.1111/tpj.14734

Sara Bergante, Gianni Facciotto, Maurizio Marchi. (2020) Growth dynamics of ‘Imola’ poplar clone (Populus ×canadensis Mönch) under different cultivation inputs. Annals of Silvicultural Research, [S.l.], v. 44, n. 2, p. 71-79, Apr. 2020. http://dx.doi.org/10.12899/asr-1934.

Carolina Bernhardsson, Yanjun Zan, Zhiqiang Chen, Pär K. Ingvarsson, Harry X. Wu. (2020). Development of a highly efficient 50K SNP genotyping array for the large and complex genome of Norway spruce (Picea abies L. Karst) by whole genome re‐sequencing and its transferability to other spruce species. Molecular Ecology Resources. https://doi.org/10.1111/1755-0998.13292 

Hayatgheibi, H., Berlin M., Haapanen M., Kärkkäinen K., and Persson T. (2020). Application of Transfer Effect Models for Predicting Growth and Survival of Genetically Selected Scots Pine Seed Sources in Sweden. Forests, 2020, 11, 1337.  https://doi.org/10.3390/f11121337

Marchi, M., Castellanos-Acuña, D., Hamann, A., Wang, T., Ray, D., Menzel, A. (2020). ClimateEU, scale-free climate normals, historical time series, and future projections for Europe. Sci Data 7, 428. https://doi.org/10.1038/s41597-020-00763-0

Eduardo Notivol, Luis Santos-del-Blanco, Regina Chambel, Jose Climent and Ricardo Alía. (2020). Seed Sourcing Strategies Considering Climate Change Forecasts: A Practical Test in Scots Pine. Forests 2020, 11(11), 1222. https://doi.org/10.3390/f11111222

Tore Skrøppa and Arne Steffenrem. (2020). Variation among and within provenances of Norway spruce from Trøndelag and Nordland. NIBIO Rapport, vol 6, nr 10. 

Natalia Vizcaíno-Palomar, Bruno Fady, Ricardo Alía, Annie Raffin, Sven Mutke, Marta Benito Garzón. (2020). The legacy of climate variability over the last century on populations’ phenotypic variation in tree height. Science of The Total Environment, Volume 749, 2020, 141454.
https://doi.org/10.1016/j.scitotenv.2020.141454 (also available via ResearchGate)

2019

Mats Berlin, Curt Almqvist, Matti Haapanen, Karl-Anders Högberg, Gunnar Jansson, Torgny Persson, Seppo Ruotsalainen. (2019). Common Scots pine deployment recommendations for Sweden and Finland. ARBETSRAPPORT 1017-2019, Skogforsk.

Zhi-Qiang Chen, John Baison, Jin Pan, Johan Westin, María Rosario García Gil, Harry X Wu (2019). Increased prediction ability in Norway spruce trials using a marker x environment interaction and non-additive genomic selection model. Journal of Heredity, Volume 110, Issue 7. Pages 830–843. https://doi.org/10.1093/jhered/esz061 (also available via ResearchGate)

López-Goldar, X., Villari, C., Bonello, P., Borg-Karlson, A.K., Grivet, D., Sampedro, L., Zas, R. (2019). Genetic variation in the constitutive defensive metabolome and its inducibility are geographically structured and largely determined by demographic processes in maritime pine. Journal of Ecology, DOI: 10.1111/1365-2745.13159 (preprint available here)

Marchi, M. (2019). Nonlinear versus linearised model on stand density model fitting and stand density index calculation: analysis of coefficients estimation via simulationJ. For. Res. doi: 10.1007/s11676-019-00967-0 (also available via ResearchGate)

Marchi, M., Sinjur, I., Bozzano, M and Westergren, M. (2019). Evaluating WorldClim Version 1 (1961–1990) as the Baseline for Sustainable Use of Forest and Environmental Resources in a Changing Climate. Sustainability, 11(11), 3043. https://doi.org/10.3390/su11113043 (also available via ResearchGate)

Matteo Pecchi, Maur{“type”:”block”,”srcClientIds”:[“507b4fd1-88fe-4f02-871b-78b14d5da8a7″],”srcRootClientId”:””}izio Marchi, Vanessa Burton, Francesca Giannetti, Marco Moriondo, Iacopo Bernetti, Marco Bindi, Gherardo Chirici. (2019). Species distribution modelling to support forest management. A literature review. Ecological Modelling 411, 08817. https://doi.org/10.1016/j.ecolmodel.2019.108817 

Tanja Pyhäjärvi, Sonja T Kujala, Outi Savolainen. (2019). 275 years of forestry meets genomics in Pinus sylvestris. Evolutionary Applications. https://doi.org/10.1111/eva.12809 (also available via ResearchGate)

Skrøppa T., Steffenrem A. (2019). Genetic variation in phenology and growth among and within Norway spruce populations from two altitudinal transects in Mid-Norway. Silva Fennica vol. 53 no. 1 article id 10076. doi: 10.14214/sf.10076 (also available via ResearchGate)

Rafael Zas, María Silvana Poceiro, María Lores, Laura M. Rolke, Luis Sampedro. (2019) Phenotyping tree resistance to a bark chewing insect, the pine weevil Hylobius abietis. Annals of Applied Biology. https://doi.org/10.1111/aab.12533 (postprint available here )

2018

López-Goldar X., Villari C, Bonello P., Borg-Karlson AK., Grivet D., Zas R. and Sampedro L. (2018). Inducibility of Plant Secondary Metabolites in the Stem Predicts Genetic Variation in Resistance Against a Key Insect Herbivore in Maritime Pine. Front. Plant Sci. 9:1651. doi: 10.3389/fpls.2018.01651