Tailored climate indices for climate-proofing operational forestry applications in Sweden and Finland

International Journal of Climatology

Volumn 37, Issue 1, 2017, Pages 123-142

  Bärring, Lars ^a,b   Berlin, Mats ^c   Andersson Gull, Bengt ^c  

^a SWEDISH METEOROLOGICAL AND HYDROLOGICAL INSTITUTE   (Sweden)

^b LUND UNIVERSITY   (Sweden)

^c THE FORESTRY RESEARCH INSTITUTE OF SWEDEN   (Sweden)

Author keywords

bias correction; climate impacts; forest growth and adaptation; observed climate change; Scandinavia; sustainable forests

Indexed keywords

CLIMATE MODELS; ELECTRIC POWER SYSTEM INTERCONNECTION; FORESTRY; TIMBER;

BIAS CORRECTION; CLIMATE IMPACTS; FOREST GROWTH; SCANDINAVIA; SUSTAINABLE FOREST;

CLIMATE CHANGE;

ADAPTIVE MANAGEMENT; AIR TEMPERATURE; CLIMATE CHANGE; CLIMATE EFFECT; CLIMATE MODELING; DOWNSCALING; ENSEMBLE FORECASTING; REGIONAL CLIMATE; SUSTAINABLE FORESTRY;

FINLAND; SWEDEN;

EID: 84961797429     PISSN: 08998418     EISSN: 10970088     Source Type: Journal    
DOI: 10.1002/joc.4691     Document Type: Article

References (72)

1. Alalammi P, Arvola E (eds). 1988. Suomen kartasto: Vihko 131 (1987), Ilmasto [Atlas of Finland—Climate], 5th Edition. Maanmittaushallitus (National Land Survey of Finland): Helsinki, Finland, 31 pp. ISBN: 951-47-0970-5.
2. Andersson B, Elfving B, Persson T, Ericsson T, Kroon J. 2007. Characteristics and development of improved Pinus sylvestris in northern Sweden. Can. J. For. Res. 37: 84–92.
3. Bärring L, Fortuniak K. 2009. Multi-indices analysis of Scandinavian storminess 1780–2005. Int. J. Climatol. 29: 373–384.
4. Bärring L, Holt T, Linderson ML, Radziejewski M, Moriondo M, Palutikof JP. 2006. Defining dry/wet spells for point observations, observed area averages, and regional climate model gridboxes in Europe. Clim. Res. 31(1): 35–49.
5. Bergh J, Nilsson U, Kjartansson B, Karlsson M. 2010. Impact of climate change on the productivity of Silver birch, Norway spruce and Scots pine stands in Sweden with economic implications for timber production. Ecol. Bull. 53(15): 185–195.
6. Berlin M, Ericsson T, Andersson Gull B. 2014. Plantval—manual med implementeringsteknisk bakgrund [in Swedish with English summary]. Arbetsrapport nr 851-2014, Skogforsk, Uppsala, 58 pp
7. Beuker E. 1994. Adaptation to climatic changes of the timing of bud burst in populations of Pinus sylvestris L. and Picea abies (L.) Karst. Tree Physiol. 14: 961–970.
8. Cattiaux J, Yiou P, Vautard R. 2012. Dynamics of future seasonal temperature trends and extremes in Europe: a multi-model analysis from CMIP3. Clim. Dyn. 38(9–10): 1949–1964, doi: 10.1007/s00382-011-1211-1.
9. Collins WD, Bitz CM, Blackmon ML, Bonan GB, Bretheron CS, Carton JA, Chang S, Doney C, Hack JJ, Henderson TB, Kielh JT, Large WG, McKenna DS, Santer BD, Smith RD. 2006. The Community Climate System Model Version 3 (CCSM3). J. Clim. 19: 2122–2143.
10. Collins M, Booth BB, Bhaskaran B, Harris GR, Murphy JM, Sexton DMH, Webb MJ. 2011. Climate model errors, feedbacks, and forcings: a comparison of perturbed physics and multi-model ensembles. Clim. Dyn. 36(9–10): 1737–1766, doi: 10.1007/s00382-010-0808-0.
11. Déqué M. 2007. Frequency of precipitation and temperature extremes over France in an anthropogenic scenario: model results and statistical correction according to observed values. Glob. Planet. Change 57: 16–26, doi: 10.1016/j.gloplacha.2006.11.030.
12. Donat MG, Alexander LV, Yang H, Durre I, Vose R, Dunn RJH, Willett KM, Aguilar E, Brunet M, Caesar J, Hewitson B, Jack C, Klein Tank AMG, Kruger AC, Marengo J, Peterson TC, Renom M, Oria Rojas C, Rusticucci M, Salinger J, Elrayah AS, Sekele SS, Srivastava AK, Trewin B, Villarroel C, Vincent LA, Zhai P, Zhang X, Kitching S. 2013. Updated analyses of temperature and precipitation extreme indices since the beginning of the twentieth century: the HadEX2 dataset. J. Geophys. Res. D118: 2098–2118, doi: 10.1002/jgrd.50150.
13. Eriksson G, Andersson S, Eiche V, Ifver J, Persson A. 1980. Severity Index and Transfer Effects on Survival and Volume Production of Pinus Sylvestris in Northern Sweden. Stud. For. Suec. No. 156. Swedish University of Agricultural Sciences, College of Forestry: Uppsala, Sweden, 32 pp.
14. Furevik T, Bentsen M, Drange H, Kindem IKT, Kvamstø NG, Sorteberg A. 2003. Description and evaluation of the Bergen climate model: ARPEGE coupled with MICOM. Clim. Dyn. 21: 27–51, doi: 10.1007/s00382-003-0317-5.
15. Gorczyński L. 1920. Sur le Calcul du Degré du Continentalisme et Son Application dans la Climatologie. Geogr. Ann. 2: 324–331. Errata: Sur le Calcul du Degré du Continentalisme et Son Application dans la Climatologie (1921), Geogr. Ann. 3: 203.
16. Gordon C, Cooper C, Senior CA, Banks H, Gregory JM, Johns TC, Mitchell JFB, Wood RA. 2000. The simulation of SST, sea ice extents and ocean heat transports in a version of the Hadley Centre coupled model without flux adjustments. Clim. Dyn. 16: 147–168.
17. Gutjahr O, Heinemann G. 2013. Comparing precipitation bias correction methods for high-resolution regional climate simulations using COSMO-CLM. Theor. Appl. Climatol. 114(3–4): 511–529, doi: 10.1007/s00704-013-0834-z.
18. Høgda KA, Tømmervik H, Karlsen SR. 2013. Trends in the start of the growing season in Fennoscandia 1982–2011. Remote Sens. 5: 4304–4318, doi: 10.3390/rs5094304.
19. Hourdin F, Musat I, Bony S, Braconnot P, Codron F, Dufresne JL, Fairhead L, Filiberti MA, Friedlingstein P, Grandpeix JY, Krinner G, Levan P, Li ZX, Lott F. 2006. The LMDZ4 general circulation model: climate performance and sensitivity to parametrized physics with emphasis on tropical convection. Clim. Dyn. 27: 787–813.
20. IPCC. 2013. Summary for policymakers. In Climate Change 2013: The Physical Science Basis. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change, Stocker TF, Qin D, Plattner G-K, Tignor M, Allen SK, Boschung J, Nauels A, Xia Y, Bex V, Midgley PM (eds). Cambridge University Press: Cambridge, UK and New York, NY
21. Johansson B. 2000. Areal precipitation and temperature in the Swedish mountains. An evaluation from a hydrological perspective. Nord. Hydrol. 31: 207–228.
22. Johansson B, Chen D. 2003. The influence of wind and topography on precipitation distribution in Sweden: statistical analysis and modelling. Int. J. Climatol. 23: 1523–1535.
23. Johansson B, Chen D. 2005. Estimation of areal precipitation for runoff modelling using wind data: a case study in Sweden. Clim. Res. 29: 53–61.
24. Jönsson A-M, Lagergren F, Smith B. 2015. Forest management facing climate change—an ecosystem model analysis of adaptation strategies. Mitig. Adapt. Strateg. Glob. Change 20(2): 201–220.
25. Jungclaus JH, Keenlyside N, Botzet M, Haak H, Luo JJ, Latif M, Marotzke J, Mikolajewicz U, Roeckner E. 2006. Ocean circulation and tropical variability in the coupled model ECHAM5/MPI-OM. J. Clim. 19: 3952–3972.
26. Kellomäki S, Peltola H, Nuutinen T, Korhonen KT, Strandman H. 2008. Sensitivity of managed boreal forests in Finland to climate change, with implications for adaptive management. Philos. Trans. R. Soc. B 363: 2341–2351, doi: 10.1098/rstb.2007.2204.
27. Kjellström E, Nikulin G, Hansson U, Strandberg G, Ullerstig A. 2011. 21st century changes in the European climate: uncertainties derived from an ensemble of regional climate model simulations. Tellus 63A(1): 24–40, doi: 10.1111/j.1600-0870.2010.00475.x.
28. Kjellström E, Thejll P, Rummukainen M, Christensen JH, Boberg F, Christensen OB, Fox MC. 2013. Emerging regional climate change signals for Europe under varying large-scale circulation conditions. Clim. Res. 56: 103–119.
29. Knutti R, Sedlacek J. 2012. Robustness and uncertainties in the new CMIP5 climate model projections. Nat. Clim. Change 3: 369–373, doi: 10.1038/nclimate1716.
30. Koca D, Smith B, Sykes MT. 2006. Modelling regional climate change effects on potential natural ecosystems in Sweden. Clim. Change 78(2–4): 381–406.
31. Langvall O. 2011. Impact of climate change, seedling type and provenance on the risk of damage to Norway spruce (Picea abies (L.) Karst.) seedlings in Sweden due to early summer frosts. Scand. J. For. Res. 26(11): 56–63.
32. Lind P, Kjellström E. 2008. Temperature and precipitation changes in Sweden, a wide range of model-based projections for the 21st century. SMHI Report Meteorology and Climatology: Norrköping, Sweden, RMK No. 113, 50 pp, ISSN: 0347-2116
33. van der Linden P, Mitchell JFB (eds). 2009. ENSEMBLES: Climate Change and its Impacts: Summary of Research and Results from the ENSEMBLES project. Met Office Hadley Centre: Exeter, UK, 160 pp.
34. Linderholm HW, Walther A, Chen D. 2008. Twentieth-century trends in the thermal growing season in the Greater Baltic Area. Climate Change 87: 405–419.
35. Lorenz P, Jacob D. 2010. Validation of temperature trends in the ENSEMBLES regional climate model runs driven by ERA40. Clim. Res. 44: 167–177.
36. Meehl GA, Covey C, Delworth T, Latif M, McAvaney B, Mitchell JFB, Stouffer RJ, Taylor KE. 2007. The WCRP CMIP3 multimodel dataset—a new era in climate change research. Bull. Am. Meteorol. Soc. 88(9): 1383–1394, doi: 10.1175/BAMS-88-9-1383.
37. Morén A-S, Perttu KL. 1994. Regional Temperature and Radiation Indices and their Adjustment to Horizontal and Inclined Forest Land. Studia Forestalia Suecica No. 194. Swedish University of Agricultural Sciences, College of Forestry: Uppsala, Sweden, 19 pp.
38. Moss RH, Edmonds JA, Hibbard KA, Manning MR, Rose SK, van Vuuren DP, Carter TR, Emori S, Kainuma M, Kram T, Meehl GA, Mitchell JFB, Nakicenovic N, Riahi K, Smith SJ, Stouffer RJ, Thomson AM, Weyant JP, Wilbanks TJ. 2010. The next generation of scenarios for climate change research and assessment. Nature 463(7282): 747–756, doi: 10.1038/nature08823.
39. Nakićenović N, Swart R (eds). 2000. Special report on emissions scenarios. A special report of Working Group III of the Intergovernmental Panel on Climate Change. Cambridge University Press: Cambridge, UK, 612 pp
40. Odin H, Eriksson B, Perttu K. 1983. Temperaturklimatkartor för svenskt skogsbruk: Temperature climate maps for Swedish forestry. Rapporter i skogsekologi och skoglig marklära No. 45, Swedish University of Agricultural Sciences, Uppsala, 57 pp, ISBN: 91-576-1644-2
41. Persson B. 1994a. Effects of climate and provenance transfer on survival, production and stem quality of Scots pine (Pinus sylvestris L.) in northern Sweden. Report No. 37, Swedish University of Agricultural Sciences, Department of Forest Yield Research: Garpenberg, Sweden, 43 pp
42. Persson B. 1994b. Effects of provenance transfer on survival in nine experimental series with Pinus sylvestris (L.) in northern Sweden. Scand. J. For. Res. 9: 275–287.
43. Persson B. 1998. Will climate change affect the optimal choice of Pinus sylvestris provenances? Silva Fenn. 32(2): 121–128.
44. Persson B, Beuker E. 1997. Distinguishing between the effects of changes in temperature and light climate using provenance trials with Pinus sylvestris in Sweden. Can. J. For. Res. 27: 572–579.
45. Persson B, Ståhl EG. 1993. Effects of provenance transfer in an experimental series of Scots pine (Pinus sylvestris L.) in northern Sweden. Report No. 35 (in Swedish with English summary), Swedish University of Agricultural Sciences, Department of Forest Yield Research: Garpenberg, Sweden, 92 pp, ISSN: 034-7636
46. Persson G, Bärring L, Kjellström E, Strandberg G, Rummukainen M. 2007. Climate indices for vulnerability assessments. SMHI Reports Meteorology and Climatology RMK No. 111, Swedish Meteorological and Hydrological Institute, Norrköping, Sweden, 64 pp
47. Plavcova E, Kysely J. 2013. Projected evolution of circulation types and their temperatures over Central Europe in climate models. Theor. Appl. Climatol. 114(3–4): 625–634, doi: 10.1007/s00704-013-0874-4.
48. Raab B, Vedin H (eds). 2004. Sveriges nationalatlas. Klimat, sjöar och vattendrag “National Atlas of Sweden. Climate, Lakes And Rivers”, 2nd, 176 pp (in Swedish only) edn, in Swedish only. Kartförlaget: Gävle, Sweden. ISBN: 91-87760-53-3.
49. Rehfeldt GE, Tchebakova NM, Parfenova YI, Wykoff WR, Kuzmina NA, Milyutin LI. 2002. Intraspecific responses to climate in Pinus sylvestris. Glob. Change Biol. 8(9): 912–929.
50. Remröd, J. 1976. Val av tallprovenienser i Norra Sverige - analys av överlevnad, tillväxt och kvalitet i 1951 års tallproveniensförsök [“Choosing Scots pine (Pinus silvestris L.) provenances in Northern Sweden : analysis of survival, growth and quality in provenance experiments planted 1951”, in Swedish with English summary]. Rapporter och uppsatser nr 19. Doctoral dissertation, Department of Forest Genetics, Royal College of Forestry, Stockholm, 132 pp
51. Riediger U, Gratzki A. 2014. Future weather types and their influence on mean and extreme climate indices for precipitation and temperature in Central Europe. Meteorol. Z. 23(3): 231–252, doi: 10.1127/0941-2948/2014/0519.
52. Roeckner E, Brokopf R, Esch M, Giorgetta M, Hagemann S, Kornblueh L, Manzini E, Schlese U, Schulzweida U. 2006. Sensitivity of simulated climate to horizontal and vertical resolution in the ECHAM5 atmosphere model. J. Clim. 19: 3771–3791.
53. Rogelj J, Meinshausen M, Knutti R. 2012. Global warming under old and new scenarios using IPCC climate sensitivity range estimates. Nat. Clim. Change 2: 248–253, doi: 10.1038/NCLIMATE1385.
54. Ruosteenoja K, Räisänen J, Pirinen P. 2011. Projected changes in thermal seasons and the growing season in Finland. Int. J. Climatol. 31: 1473–1487, doi: 10.1002/joc.2171.
55. Samuelsson P, Jones CG, Willén U, Ullerstig A, Gollvik S, Hansson U, Jansson C, Kjellström E, Nikulin G, Wyser K. 2011. The Rossby Centre regional climate model RCA3: model description and performance. Tellus 63A(1): 4–23, doi: 10.1111/j.1600-0870.2010.00478.x.
56. Skaugen TE, Tveito OE. 2004. Growing-season and degree-day scenario in Norway for 2021–2050. Clim. Res. 26(3): 221–232.
57. Sonesson, J (ed). 2006. Klimatet och skogen “Climate and forests”, in Swedish only. KSLA Tidskrift No. 2006:9, The Royal Swedish Academy of Agriculture and Forestry: Stockholm, Sweden, 44 pp, ISSN: 0023-5350/ISBN: 91-85205-42-7. http://www.ksla.se/wp-content/uploads/2010/12/KSLAT-2006-9-Klimatet-och-skogen.pdf (accessed 26 February 2016).
58. SOU. 2007. Sweden facing climate change—threats and opportunities. Final report from the Swedish Commission on Climate and Vulnerability, Swedish Government Official Report No. SOU, Stockholm, Sweden. 2007:60, 679 pp. http://www.government.se/sb/d/574/a/96002 (accessed 26 February 2016).
59. Tapio. 2006. Hyvän metsänhoidon susitukset. [Guidelines for Good Silviculture]. Metsätalouden kehittämiskeskus Tapio, Metsäkustannus: Helsinki, 100 pp.
60. Themeßl MJ, Gobiet A, Leuprecht A. 2012. Empirical-statistical downscaling and error correction of regional climate models and its impact on the climate change signal. Clim. Change 112(2): 449–468, doi: 10.1007/s10584-011-0224-4.
61. Tveito OE, Førland EJ, Alexandersson H, Drebs A, Jónsson T, Tuomenvirta H, Vaarby LE. 2001. Nordic climate maps (Nordklim). DNMI: Blindern, Oslo, Norway, Rapport Klima No. 6, 28 pp, ISSN: 0805-9918. http://www.met.no/?module=Files;action=File.getFile;ID=5610 (accessed 26 February 2016).
62. Uppala SM, Kållberg PW, Simmons AJ, Andrae U, Bechtold VD, Fiorino M, Gibson JK, Haseler J, Hernandez A, Kelly GA, Li X, Onogi K, Saarinen S, Sokka N, Allan RP, Andersson E, Arpe K, Balmaseda MA, Beljaars ACM, Van De Berg L, Bidlot J, Bormann N, Caires S, Chevallier F, Dethof A, Dragosavac M, Fisher M, Fuentes M, Hagemann S, Holm E, Hoskins BJ, Isaksen L, Janssen PAEM, Jenne R, McNally AP, Mahfouf JF, Morcrette JJ, Rayner NA, Saunders RW, Simon P, Sterl A, Trenberth KE, Untch A, Vasiljevic D, Viterbo P, Woollen J. 2005. The ERA-40 re-analysis. Q. J. R. Meteorol. Soc. 131(612): 2961–3012.
63. Venäläinen A, Tuomenvirta H, Pirinen P, Drebs A. 2005. A Basic Finnish Climate Data Set 1961–2000-Description and Illustrations. Finnish Meteorological Institute Reports No. 5, Finnish Meteorological Institute: Helsinki, Finland, 27 pp. http://www.oulu.fi/oulugis/doc/data_description.pdf (accessed 26 February 2016).
64. Voldoire A, Sánchez-Gómez E, Salas y Mélia D, Decharme B, Cassou C, Sénési S, Valcke S, Beau I, Alias A, Chevallier M, Déqué M, Deshayes J, Douville H, Fernandez E, Madec G, Maisonnave E, Moine M-P, Planton S, Saint-Martin D, Szopa S, Tyteca S, Alkama R, Belamari S, Braun A, Coquart L, Chauvin F. 2012. The CNRM-CM5.1 global climate model: description and basic evaluation. Clim. Dyn. 40(9): 2091–2121, doi: 10.1007/s00382-011-1259-y.
65. van Vuuren DP, Edmonds J, Kainuma M, Riahi K, Thomson A, Hibbard K, Hurtt GC, Kram T, Krey V, Lamarque J-F, Masui T, Meinshausen M, Nakicenovic N, Smith SJ, Rose SK. 2011. The representative concentration pathways: an overview. Clim. Change 109(1–2): 5–31, doi: 10.1007/s10584-011-0148-z.
66. Walsh J, Wuebbles D, Hayhoe K, Kossin J, Kunkel K, Stephens G, Thorne P, Vose R, Wehner M, Willis J, Anderson D, Kharin V, Knutson T, Landerer F, Lenton T, Kennedy J, Somerville R. 2014. Appendix 3: climate science supplement. In Climate Change Impacts in the United States: The Third National Climate Assessment. U.S. Global Change Research Program, Washington, USA, Melillo JM, Richmond TC, Yohe GW (eds). 735–789, doi: 10.7930/J0KS6PHH.
67. Wang T, Hamann A, Yanchuk A, O'Neill GA, Aitken SN. 2006. Use of response functions in selecting lodgepole pine populations for future climates. Glob. Change Biol. 12(12): 2404–2416, doi: 10.1111/j.1365-2486.2006.01271.x.
68. Wang T, O'Neill GA, Aitken SN. 2010. Integrating environmental and genetic effects to predict responses of tree populations to climate. Ecol. Appl. 20(1): 153–163.
69. Yang W, Bárdossy A, Caspary H-J. 2010a. Downscaling daily precipitation time series using a combined circulation- and regression-based approach. Theor. Appl. Climatol. 102(3–4): 439–454, doi: 10.1007/s00704-010-0272-0.
70. Yang W, Andréasson J, Graham LP, Olsson J, Rosberg J, Wetterhall F. 2010b. Distribution-based scaling to improve usability of regional climate model projections for hydrological climate change impacts studies. Hydrol. Res. 41(3–4): 211–228.
71. Zhang XB, Alexander L, Hegerl GC, Jones P, Tank AK, Peterson TC, Trewin B, Zwiers FW. 2011. Indices for monitoring changes in extremes based on daily temperature and precipitation data. Clim. Change 2(6): 851–870.
72. Zolina O, Simmer C, Belyaev K, Gulev SK, Koltermann P. 2013. Changes in the duration of European wet and dry spells during the last 60 years. J. Clim. 26(6): 2022–2047, doi: 10.1175/JCLI-D-11-00498.1.