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Research ArticleArticles

Utilizing a Thermal Time Model to Estimate Safe Times to Transplant Tilia Trees

Tapio Linkosalo, Pilvi Siljamo, Anu Riikonen, Frank M. Chmielewski and Juha Raisio
Arboriculture & Urban Forestry (AUF) September 2019, 45 (5) 201-210; DOI: https://doi.org/10.48044/jauf.2019.016
Tapio Linkosalo
Tapio Linkosalo (corresponding author), Natural Resources Institute Finland (Luke), Latokartanonkaari 9, FI-00790 Helsinki, Finland
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  • For correspondence: [email protected]
Pilvi Siljamo
Pilvi Siljamo, Finnish Meteorological Institute, Helsinki, Finland
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Anu Riikonen
Anu Riikonen, University of Helsinki, Helsinki, Finland
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Frank M. Chmielewski
Frank M. Chmielewski, Humbold University, Berlin, Germany
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Juha Raisio
Juha Raisio, Urban Environment Division, City of Helsinki, Helsinki, Finland
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  • Article
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Article Figures & Data

Figures

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  • Figure 1.
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    Figure 1.

    A map of the International Phenological Gardens (IPGs) in Europe in the year 2015. Map courtesy of Humbold University of Berlin.

  • Figure 2.
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    Figure 2.

    The simulated bud burst dates for Central and Northern Europe. The subplots show the average (A), first (B), and last (C) bud burst dates for the period of 1980 to 2015. The grid cells for the calculation are 1.125 degrees squared, and the temperature data is derived from the ERA-model.

  • Figure 3.
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    Figure 3.

    The model SSE values (Z-axis) as the function of model parameters. X-axis shows the starting date (DOY) and Y-axis the temperature sum threshold. For each pair of the latter two, the critical temperature threshold giving the smallest SSE value was picked, and this temperature threshold is shown on the a contour map on the floor of the graph.

Tables

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    Table 1.

    Sites, locations, and years of the phenological data collected at the International Phenological Gardens (IPGs).

    IPGCountryStationLatitudeLongitudeElevationNumber of observations
    1NTrondhjem-Stjordal-KVITHAMAR63.3010.537024
    5SEStockholm-BOGESUND59.3718.505010
    13IRLKerry-Valentia Observatory51.93−10.251441
    14IRLCO-Wexford-J.F. KENNEDY ARB.52.33−6.638033
    15IRLWexford-Johnstown Castle52.30−6.526034
    16IRLDublin-National Botanic Gardens53.38−6.333023
    17GBLondon-Farnham-HEADLY PARK51.08−0.88847
    18BEGENT-MELLE50.983.801513
    19BEBastogne-MICHAMPS50.005.7350015
    20DMÜNSTER51.977.636013
    21DHamburg-SCHMALENBECK53.6710.275013
    22DHamburg-WULFSDORF53.6510.204639
    23DHannov.-MÜNDEN-STEINBERG51.339.6750010
    24DOffenbach50.108.789939
    25DWiesbaden-GEISENHEIM49.987.9711821
    26DTRIER49.756.6726531
    27DStuttgart-Hohenheim48.729.2238046
    28DStuttgart-WEILIMDORF48.829.1233011
    29DKaiserstuhl-BLANKENHORNSBERG48.057.6028536
    30DKaiserstuhl-LILIENTAL48.077.6826537
    31DFREIBURG-STADT48.007.8027040
    32DFreiburg-ESCHBACH48.027.9850036
    33DFreiburg-SCHAUINSLAND47.927.90121020
    35DDONAUESCHINGEN47.958.5268035
    36DMünchen-Grafrath48.1811.1754045
    37DFreising-WEIHENSTEPHAN48.4011.7346022
    38DFreyung-Schönbrunn48.8513.5273726
    39DFreyung-KLINGENBRUNN48.9213.3275630
    40DFreyung-Waldhäuser48.9313.3395635
    42DTharandt-Hartha50.9813.5436046
    45PTPORTO41.258.50300
    46CHZürich-Birmensdorf47.368.4460042
    48ATInnsbruck-RINN47.2511.5090020
    50ATWien-OBERSIEBENBRUNN48.2516.7215023
    52SKLVU-Banska Stiavnica-Kysihybel48.4518.9354022
    53HUBudapest-GÖDÖLLÖ47.6019.3522016
    54HUDebreczin-PÜSPÖKLADANY47.3321.13907
    55SLOLjubljana46.0714.5031045
    56HRZagreb-Krizevci45.8015.9714636
    57RSSOMBOR45.7819.129018
    58BASarajevo-IVAN SEDLO43.8618.43100017
    60RSBAR42.0819.08518
    61RSBeograd-SMEDEREVSKA-PALANKA44.3720.9512118
    62MAKSkopje42.0021.4324039
    69DWAGENINGEN51.985.67255
    72GBLondon-Farnham-Alice Holt51.20−0.78809
    77DHamburg-QUICKBORN53.739.881316
    78DBerchtesgaden-Kühroint47.5712.9514308
    79DBerchtesgaden-Schapach47.5812.9795010
    80DBerlin-Thyrow52.2013.204217
    81DSchleswig54.539.55364
    83DDEUSELBACH49.777.054806
    85CZPraha-Doksany50.4714.1715815
    86CZPraha-Kostelec50.0014.8734514
    87CZBrno-Krtiny49.3214.1745711
    88DBayreuth49.9411.573605
    90DHellenthal/Eifel50.486.434703
    94PEvora38.57−7.903090
    112IRLGlenveagh National Park Church Hill55.03−7.97658
    118IRLAarmagh Observatory54.356.65647
    119IRLMillstreet Country Park52.12−9.081167
    152LTBotanical Garden Siauliai University55.9223.271179
    169FPierroton44.73−0.78587
    180GBRBG Edinburgh-Dawyck55.60−3.321806
    182GBEdinburgh-Inverleih55.97−3.21507
    190DGraupa51.0013.9218011
    191DHeinzebank50.6813.1261010
    192DKretscham-Rothensehma50.4512.988509
    193DDoberschütz (NW-Sachsen)51.5312.709910
    194DEich (Vogtland)50.5512.334445
    195DLeipzig51.2013.131989
    196DTaura (N-Sachsen)51.4713.0212410
    210BASarajevo43.8618.436303
    211BASarajevo-Ivan Sedlo43.7518.049673
    212BAMostar43.3317.80993
    221DRoßla51.4511.071556
    224DKleve51.876.0794
    225DGreifswalder Oie54.2413.9235
    228DOhorn51.1714.053055
    231DBraunschweig52.2510.45814
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    Table 2.

    Parameter and SSE values for the Thermal Time model.

    Parameters of calculation matrixModel optimum
    MinMaxStepNumberAllOdd yearsEven years
    Starting dateDOY80120141978298
    Temperature sum thresholddegree-day100300541175295210
    Critical temperature threshold° C−550.2541−2−2.5−3.5
    Total parameter combinations68921
    SSE, alldegree-day2185,318196,881188,079
    SSE, odd yearsdegree-day286,52380,78596,698
    SSE, even yearsdegree-day298,795116,09691,381
    Increase in SSE%13.120.1
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Arboriculture & Urban Forestry (AUF): 45 (5)
Arboriculture & Urban Forestry (AUF)
Vol. 45, Issue 5
September 2019
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Utilizing a Thermal Time Model to Estimate Safe Times to Transplant Tilia Trees
Tapio Linkosalo, Pilvi Siljamo, Anu Riikonen, Frank M. Chmielewski, Juha Raisio
Arboriculture & Urban Forestry (AUF) Sep 2019, 45 (5) 201-210; DOI: 10.48044/jauf.2019.016

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Utilizing a Thermal Time Model to Estimate Safe Times to Transplant Tilia Trees
Tapio Linkosalo, Pilvi Siljamo, Anu Riikonen, Frank M. Chmielewski, Juha Raisio
Arboriculture & Urban Forestry (AUF) Sep 2019, 45 (5) 201-210; DOI: 10.48044/jauf.2019.016
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Keywords

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