Abstract
Biology-related indicators do not usually depend on just one meteorological element but on a combination of several weather indicators. One way to establish such integral indicators is to classify the general atmospheric circulation into a small number of circulation types. The aim of present study is to analyse connections between general atmospheric circulation and potato crop yield in Estonia. Meteorologically possible yield (MPY), calculated by the model POMOD, is used to characterise potato crop yield. Data of three meteorological stations and the biological parameters of two potato sorts were applied to the model, and 73 different classifications of atmospheric circulation from catalogue 1.2 of COST 733, domain 05 are used to qualify circulation conditions. Correlation analysis showed that there is at least one circulation type in each of the classifications with at least one statistically significant (99%) correlation with potato crop yield, whether in Kuressaare, Tallinn or Tartu. However, no classifications with circulation types correlating with MPY in all three stations at the same time were revealed. Circulation types inducing a decrease in the potato crop yield are more clearly represented. Clear differences occurred between the observed geographical locations as well as between the seasons: derived from the number of significant circulation types, summer and Kuressaare stand out. Of potato varieties, late 'Anti' is more influenced by circulation. Analysis of MSLP maps of circulation types revealed that the seaside stations (Tallinn, Kuressaare) suffer from negative effects of anti-cyclonic conditions (drought), while Tartu suffers from the cyclonic activity (excessive water).
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Aasa A, Jaagus J, Ahas R, Sepp M (2004) The influence of atmospheric circulation on plant phenological phases in central and eastern Europe. Int J Climatol 24(12):1551–1564
Ahas R, Jaagus J, Aasa A (2000) The phenological calendar of Estonia and its correlation with mean air temperature. Int J Biometeorol 44(4):159–166
Badeck F-W, Bondeau A, Böttcher K, Doktor D, Lucht W, Schaber J, Sitch S (2004) Responses of spring phenology to climate change. New Phytol 162:295–309
Barry RG, Carleton AM (2001) Synoptic and dynamic climatology. Routledge, London
Barry RG, Perry AH (1973) Synoptic climatology methods and applications. Methuen, London
Beaubien EG, Freeland HJ (2000) Spring phenology trends in Alberta, Canada: links to ocean temperature. Int J Biometeorol 44:53–59
Beck C, Philipp A (2010) Evaluation and comparison of circulation type classifications for the European domain. Phys Chem Earth, Parts A/B/C; Vol 35 9–12:374–387
Bollmann MP, Sweet GB, Rook DA, Halligan EA (1986) The influence of temperature, nutrient status, and short drought on seasonal initiation of primordia and shoot elongation in Pinus radiata. Can J For Res 16:1019–1029
Budyko MI (1974) Climate and life. Academic, London
Cahynová M, Huth R (2009) Enhanced lifetime of atmospheric circulation types over Europe: fact or fiction? Tellus Ser A 61:407–416
Chmielewski F-M, Köhn W (2000) Impact of weather on yield and yield components of winter rye. Agric For Meteorol 102:253–261
Chmielewski F-M, Rötzer T (2001) Response of tree phenology to climate change across Europe. Agric For Meteorol 108:101–112
Chmielewski F-M, Rötzer T (2002) Annual and spatial variability of the beginning of growing season in Europe in relation to air temperature changes. Clim Res 19(3):257–264
Chmielewski F-M, Müller A, Bruns E (2004) Climate changes and trends in phenology of fruit trees and field crops in Germany, 1961–2000. Agric For Meteorol 121(1–2):69–78
Defila C, Clot B (2001) Phytophenological trends in Switzerland. Int J Biometeorol 45:203–207
Hirschboeck KK, Ni, Fenbiao, Wood ML, Woodhouse CA (1996) Synoptic dendroclimatology: overview and prospectus. In: Dean JS, Meko DM, Swetnam TW (eds) Tree rings, environment and humanity. Proceedings of the International Conference, Tucson, Arizona, May 1994, pp 205–223
Huth R (2010) Synoptic-climatological applicability of circulation classifications from the COST733 collection: First results. Phys Chem Earth, Parts A/B/C; Vol 35 35(9-12):388–394
Huth R, Beck C, Philipp A, Demuzere M, Ustrnul Z, Cahynová M, Kyselý J, Tveito OE (2008) Classifications of Atmospheric Circulation Patterns. Recent Advances and Applications. Ann NY Acad Sci 1146:105–152
Jaagus J, Truu J (2004) Climatic regionalisation of Estonia based on multivariate exploratory techniques. In: Kaare T, Punning J-M (eds) Estonia. Geographical Studies. Estonian Academy, Tallinn, pp 41–55
Kadaja J, Tooming H (2004) Potato production model based on principle of maximum plant productivity. Agric For Meteorol 127(1–2):17–33
Kyselý J (2007) Implications of enhanced persistence of atmospheric circulation for the occurrence and severity of temperature extremes. Int J Climatol 27:689–695
Menzel A (2003) Plant Phenological Anomalies in Germany and their Relation to Air Temperature and NAO. Clim Change 57(3):243–263
Menzel A, Fabian P (1999) Growing season extended in Europe. Nature 397:659
Nishiyama I (1984) Climatic influence on pollen formation and fertilization. In: Tsunoda S, Takanashi T (eds) Biology of Rice. Japan Science Society Press, Tokyo/Amsterdam, pp 153–171
Nonhebel S (1994) The effects of use of average instead of daily weather data in crop growth simulation models. Agric Syst 4:377–396
Pensa M, Sepp M, Jalkanen R (2006) Connections between climatic variables and the growth and needle dynamics of Scots pine (Pinus sylvestris L.) in Estonia and Lapland. Int J Biometeorol 50(4):205–214
Pettorelli N, Weladji RB, Holand Ø, Mysterud A, Breie H, Stenseth NC (2005) The relative role of winter and spring conditions: linking climate and landscape-scale plant phenology to alpine reindeer body mass. Biol Lett 1(1):24–26
Philipp A, Bartholy J, Beck C, Erpicum M, Esteban P, Fettweis X, Huth R, James P, Jourdain S, Kreienkamp F, Krennert T, Lykoudis S, Michalides SC, Pianko-Kluczynska K, Post P, Rasilla Álvarez D, Schiemann R, Spekat A, Tymvios FS (2010) Cost733cat – A database of weather and circulation type classifications. Phys Chem Earth, Parts A/B/C; Vol 35 9–12:360–373
Saue T, Kadaja J (2005) Growth stages of winter rye and accumulated temperatures. In: Martin J, Martin G, Karing P, Vares P, Sereda A (eds) Baltic Horizons. Eurouniversity, Tallinn, pp 63–78
Saue T, Kadaja J (2009) Simulated crop yield - an indicator of climate variability. Boreal Environ Res 14(1):132–142
Saue T, Viil P, Kadaja J (2010) Do different tillage and fertilization methods influence weather risk on potato yield? Agron Res 8:427–432
Scheifinger H, Menzel A, Koch E, Peter C, Ahas R (2002) Atmospheric mechanisms governing the spatial and temporal variability of phenological phases in central Europe. Int J Climatol 22:1739–1755
Schwarz MD, Reiter BE (2000) Changes in North American spring. Int J Biometeorol 20:929–932
Semenov MA, Porter JR (1995) Climatic variability and the modelling of crop yields. Agric For Meteor 73:265–283
Semenov MA, Wolf J, Evans LG, Eckersten H, Iglesias A (1996) Comparison of wheat simulation models under climate change. II. Application of climate change scenarios. Clim Res 7:271–281
Sepp J, Tooming H (1991) Productivity resources of potato, Gidrometeoizdat, Leningrad [in Russian with English abstract]
Sparks TH, Jeffree EP, Jeffree CE (2000) An examination of the relationship between flowering times and temperature at the national scale using long-term phonological records from the UK. Int J Biometeorol 44:82–87
Stenseth NC, Mysterud A, Ottersen G, Hurrell JW, Chan K-S, Lima M (2002) Ecological Effects of Climate Fluctuations. Science 297(5585):1292–1296
Tooming H (1967) Mathematical model of plant photosynthesis considering adaptation. Photosynthetica 1(3–4):233–240
Tooming H (1970) Mathematical description of net photosynthesis and adaptation processes in the photosynthetic apparatus of plant communities. In: Setlik I (ed) Prediction and Measurement of Photosynthetic Productivity. Pudoc, Wageningen, pp 103–114
Tooming H (1977) Solar radiation and yield formation. Gidrometeoizdat, Leningrad [In Russian with English abstract]
Tooming H (1984) Ecological principles of maximum crop productivity. Gidrometeoizdat, Leningrad [in Russian with English summary]
Tooming H (1988) Principle of maximum plant productivity. In: Kull K, Tiivel T (eds) Lectures in theoretical biology. Valgus, Tallinn, pp 129–138
Uppala SM, Kållberg PW, Simmons AJ, Andrae U, da Costa Bechtold V, 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, Hólm E, Hoskins BJ, Isaksen L, Janssen PAEM, Jenne R, McNally AP, Mahfouf J-F, Morcrette J-J, 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 131:2961–3012
Vicente-Serrano SM, Heredia-Laclaustraa A (2004) NAO influence on NDVI trends in the Iberian peninsula (1982–2000). Int J Remote Sens 25:2871–2879
Wielgolaski F-E (1966) The Influence of Air Temperature on Plant Growth and Development during the Period of Maximal Stem Elongation. Oikos 17(2):121–141
Yarnal B (1993) Synoptic Climatology in Environmental Analysis. Belhaven, London
Acknowledgments
This study is financed by the Estonian Science Foundation grant No. 7526, Target Funding Project SF0180127s08 of the Ministry of Education and Science of Estonia and Estonian Ministry of Agriculture through the project "The effect of soil tillage intensity on the yield and quality of slurry-fertilised crops and soil condition" of the State Program "Applied Agricultural Research and Development in 2009-2014". The authors also thank Evelyn Uuemaa and Elise Vanatoa.
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Sepp, M., Saue, T. Correlations between the modelled potato crop yield and the general atmospheric circulation. Int J Biometeorol 56, 591–603 (2012). https://doi.org/10.1007/s00484-011-0448-z
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DOI: https://doi.org/10.1007/s00484-011-0448-z