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The 27 th Annual Conference International Association for Impact Assessment 3-9 June 2007, COEX Convention Center, Seoul, Korea Jae-Uk KIM, Dong-Kun LEE (Seoul National University, Korea) 5 June, 2007 Prediction of Plant Communities Using Regional Climate Model in Korea
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2/37 1. Backgrounds 2. Objectives 3. Materials 4. Methods 5. Results and Discussion 6. Conclusion Contents
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3/37 Global mean temperature near the Earth's surface rose 0.74±0.18°C during the past century. Climate models referenced by the IPCC project that global surface temperatures are likely to increase by 1.1 to 6.4 °C between 1990 and 2100. The effects of global warming is becoming more apparent on various parts of the world including dynamics in natural ecosystems. Backgrounds
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4/37 Backgrounds ① Camellia japonica L. ① ② Sasa quelpaertensis Nakai ② 1996 2000 2005 ③ Quercus mongolica ③
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5/37 To choose a suitable climate model in the Korea To verify connection between plant communities and environmental factors To predict potential distribution of Pinus densiflora, Quercus Spp., Alpine Plants and Evergreen Broad- Leaved Plants To assess a vulnerable area in climate change Objectives
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6/37 Methods I
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7/37 Methods II
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8/37 Methods III
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9/37 Materials-Climate Models AcronymCenterSRES scenarioModelTime period NIES/RAMS National Institute for Environmental Studies (NIES) NIES/RAMS RCM 1981-1990 2041-2050 HCCPR Hadley Centre for Climate Prediction and Research HadCM3 1950-2099A2B2 CSIRO Australia’s Common Wealth Scientific and Industrial Research Organization CSIRO-Mk2 1990-2100A1A2B1B2 CCCma Canadian Center for Climate Modeling and Analysis CGCM2 1900-2100A2B2 CCSR/NIES Center for Climate Research Studies (CCSR) National Institute for Environmental Studies (NIES) CCSR/NIES AGCM +CCSR OGCM 1890-2100A1A2B1B2 A2
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10/37 Materials-Climate Models CCSR-NIES CGCM2 CSIRO-Mk2 HadCM3 NIES-RAMS General Circulation Model Regional Climate Model
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11/37 Materials-SRES
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12/37 Dominant Communities Ratio (%) Pinus densiflora 56.2 Quercus Spp. 30.4 Alpine Plants0.26 Evergreen Broad-Leaved Plants 0.16 Total : 170 communities Materials-Plant communities
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13/37 Materials-Plant communities Dominant Communities Pinus densiflora Pinus densiflora (1) Quercus Spp. Quercus acutissima, Quercus aliena, Quercus dentata, Quercus grosseserrata, Quercus mongolica, Quercus serrata, Quercus variabilis (7) Alpine Plants Abies holophylla, Abies koreana, Abies nephrolepis, Betula ermanii, Betula platyphylla, Empetrum nigrum var. japonicum, Juniperus chinensis var. sargentii, Juniperus rigida, Pinus koraiensis, Pinus pumila, Rhododendron mucronulatum var. ciliatum, Taxus cuspidata, Thuja koraiensis, Thuja orientalis L. (14) Evergreen Broad-Leaved Plants Castanopsis cuspidata var. sieboldii, Castanopsis cuspidata var. thunbergii, Camellia japonica L., Cinnamomum japonicum, Daphniphyllum macropodum, Elaeagnus macrophylla, Ilex integra, Litsea japonica, Machilus thunbergii, Quercus acuta, Quercus myrsinaefolia (11)
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14/37 CategoriesFactors (16) Climate Mean temperature (yearly, January, August, Spring, Summer, Fall, Winter), Total precipitation (yearly, Spring, Summer, Fall, Winter) Topography Elevation Index Warmth index, Coldness index, Holdridge index Materials-Environmental factors
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15/37 Temperature Results-Current climate (1971~2000) Precipitation
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16/37 HADCM3 GCM CSIRO-Mk2 GCM CGCM2 GCM CCSR/NIES GCM Results-Future climate (2050)
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17/37 NIES/RAMS RCM (Temperature) Results-Future climate (2050) NIES/RAMS RCM (Precipitation)
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18/37 Results-4GCMs vs 1RCM (1981~1990) Temperature Precipitation
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19/37 RangesMeans Area 56.2 % Elevation (m) 1~1,492312.1 Mean temperature ( ℃ ) 1.5~14.810.5 Total precipitation ( ㎜ ) 971.2~1,741.51,252.3 Warmth index (month· ℃ ) 34.3~120.389.3 Results- Pinus densiflora
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20/37 Results- Pinus densiflora Pinus densiflora = 0.0015×DEM – 0.00252×P total + 0.0175×T djf + 1.8593 Present (1990) Simulated (1971~2000)
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21/37 Results- Pinus densiflora NIESRAMS Predicted (2041~2050) CCSRNIES Predicted (2041~2050) CRIRO-Mk2 Predicted (2041~2050) HADCM3 Predicted (2041~2050) CGCM2 Predicted (2041~2050)
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22/37 Results- Pinus densiflora Ratio (%) More Reduced 17.5 Reduced32.2 No change49.6 Expanded0.6 More Expanded 0.0
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23/37 RangesMeans Area 30.4 % Elevation (m) 1~1,641509.3 Mean temperature ( ℃ ) 2.0~15.99.0 Total precipitation ( ㎜ ) 973.6~1,809.91,298.4 Warmth index (month· ℃ ) 36.8~130.779.4 Results- Quercus Spp.
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24/37 Results- Quercus Spp. Present (1990) Simulated (1971~2000) Quercus Spp. = 0.2405×CI – 0.00461×DEM – 1.0309×T min – 1.3920
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25/37 Results- Quercus Spp. CCSRNIES Predicted (2041~2050) CGCM2 Predicted (2041~2050) CRIRO-Mk2 Predicted (2041~2050) HADCM3 Predicted (2041~2050) NIESRAMS Predicted (2041~2050)
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26/37 Results- Quercus Spp. Ratio (%) More Reduced 5.7 Reduced6.9 No change83.4 Expanded1.3 More Expanded 2.8
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27/37 rangesmeans Area 0.26 % Elevation (m) 86~1,8241,024.1 Mean temperature ( ℃ ) 1.2~15.95.7 Total precipitation ( ㎜ ) 1,019.2~1,837.7 1,346.7 Warmth index (month· ℃ ) 30.9~130.657.3 Results-Alpine Plants
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28/37 Results-Alpine Plants Present (1990) Simulated (1971~2000) Alpine plants = 0.2586×WI + 0.00434×DEM – 0.0029×T total – 1.8873×T mam – 10.8265
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29/37 Results-Alpine Plants CCSRNIES Predicted (2041~2050) CGCM2 Predicted (2041~2050) HADCM3 Predicted (2041~2050) CRIRO-Mk2 Predicted (2041~2050) NIESRAMS Predicted (2041~2050)
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30/37 Results-Alpine Plants Ratio (%) More Reduced 1.5 Reduced1.9 No change96.0 Expanded0.6 More Expanded -
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31/37 rangesmeans Area 0.16 % Elevation (m) 1~626197.4 Mean temperature ( ℃ ) 10.9~16.313.4 Total precipitation ( ㎜ ) 960.8~1,853.11,374.5 Warmth index (month· ℃ ) 84.9~135.4106.1 Results-Evergreen Broad-Leaved Plants
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32/37 Results-Evergreen Broad-Leaved Plants Present (1990) Simulated (1971~2000) Evergreen Broad-Leaved Plants = 0.6503×CI – 0.7949×T min
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33/37 Results-Evergreen Broad-Leaved Plants CCSRNIES Predicted (2041~2050) CGCM2 Predicted (2041~2050) CRIRO-Mk2 Predicted (2041~2050) HADCM3 Predicted (2041~2050) NIESRAMS Predicted (2041~2050)
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34/37 Results-Evergreen Broad-Leaved Plants Ratio (%) More Reduced 0.3 Reduced0.3 No change89.7 Expanded5.3 More Expanded 4.4
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35/37 Results-vulnerable area Ratio (%) More reduced Grade 12.8 Grade 23.3 Grade 315.0 Grade 433.9 No change Grade 534.2 Grade 65.6 Grade 74.9 Grade 80.2 More expanded Grade 90.0
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36/37 Conclusion Achievements To challenges associated with predicting and assessing the future climate using RCM distribution of communities to climate change in Korea Limitations and Considerations To examine the potential distribution of communities by correlating the environmental factors without reflecting the natural succession processes Variabilities of multiple RCM output results under various climate change scenarios were not sufficiently considered Ground truth field surveys to enhance the accuracy of the results were not conducted
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