Journal of Environmental Science International (한국환경과학회지)

The Korean Environmental Sciences Society (한국환경과학회)
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Changes of Flowering Time in the Weather Flora in Susan Using the Time Series Analysis

시계열 분석을 이용한 부산지역 계절식물의 개화시기 변화

  • Choi, Chul-Mann (Climate Change & Agroecology Division, National Academy of Agricultural Science, RDA) ;
  • Moon, Sung-Gi (Department of Biology, Kyungsung University)
  • 최철만 (농촌진흥청 국립농업과학원 기후변화생태과) ;
  • 문성기 (경성대학교 이과대학 생물학과)
  • Published : 2009.04.30
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Abstract

To examine the trend on the flowering time in some weather flora including Prunus serrulata var. spontanea, Cosmos bipinnatus, and Robinia pseudo-acacia in Busan, the changes in time series and rate of flowering time of plants were analyzed using the method of time series analysis. According to the correlation between the flowering time and the temperature, changing pattern of flowering time was very similar to the pattern of the temperature, and change rate was gradually risen up as time goes on. Especially, the change rate of flowering time in C. bipinnatus was 0.487 day/year and showed the highest value. In flowering date in 2007, the difference was one day between measurement value and prediction value in C. bipinnatus and R. pseudo-acacia, whereas the difference was 8 days in P. mume showing great difference compared to other plants. Flowering time was highly related with temperature of February and March in the weather flora except for P. mume, R. pseudo-acacia and C. bipinnatus. In most plants, flowering time was highly related with a daily average temperature. However, the correlation between flowering time and a daily minimum temperature was the highest in Rhododendron mucronulatum and P. persica, otherwise the correlation between flowering time and a daily maximum temperature was the highest in Pyrus sp.

Keywords

References

  1. Vegis A., 1964, Dormancy in higher plants, Ann. Rev. Plant Physiol., 5, 183-204 https://doi.org/10.1146/annurev.pp.05.060154.001151
  2. Menzel A., 2002, Phenology: Its importance to the global change community, Climatic Change, 54, 379-385 https://doi.org/10.1023/A:1016125215496
  3. 이승법, 신경섭, 조영순, 손승희, 2003, 식물계절에 나타난 한반도 기후변화 영향, 대기, 13(1), 468-471
  4. 정영호, 엄규백, 1961, 기후적 질서로 본 오대산 선식물상, 한국식물학회지, 4(2), 33-40
  5. 김광식, 1965, 우리나라에서의 벚꽃과 복숭아 개화일 예상에 관하여, 한국기상학회지, 1(1), 14-17
  6. 임양재, 임문교, 심재국, 1983, 한국에서의 온도기후와 생물의 계절변화, 한국식물학회지, 26(2), 101-117
  7. 윤진일, 2006, 기후변화에 따른 벚꽃 개화일의 시공간 변이, 한국농림기상학회지, 8(2), 68-76
  8. De Melo-Abreu J. P., Barranco D., Cordeiro A. M., Tous J., Rogado B. M., Villalobos F. J., 2004, Modeling olive flowering date using chilling for dormancy release and thermal time, Agricultural and Forest Metcorology, 125, 117-127 https://doi.org/10.1016/j.agrformet.2004.02.009
  9. Cesaraccio C., Spano D., Snyder R. L., Duce P., 2004, ChilIing and forcing model to predict bud-burst of crop and forest species, Agricultural and Forest Meteorology, 126, 1-13 https://doi.org/10.1016/j.agrformet.2004.03.002
  10. 이준호, 1991, 서울시 일부지역 SO2 농도에 대한 추계학적 연구, 서울대학교 국민보건연구소 연구논총, 1(2), 265-274
  11. 김광진，이상훈, 정용, 1988, ARIMA model에 의한 서울시 일부지역 $SO_{2}$ 오염도의 월변화에 대한 시계열분석, 한국대기보전학회지, 4(2), 72-81
  12. 노현진， 2007, Excel 및 SPSS를 활용한 다변량분석 이론과 실제, 형설출판사, 서울, 679pp.
  13. http://www.kma.go.kr/sfc/sfc_03_05.jsp
  14. 이승호, 이경미, 2003, 기온 변화에 따른 벚꽃 개화시기의 변화 경향, 환경영향평가, 12(1), 45-54
  15. Lindsey A. A., Newman J. E., 1956, Use of official weather data in springtime temperature analysis of an lndiana phenological record, Ecology, 37, 812-823 https://doi.org/10.2307/1933072
  16. 정재은, 권은영, 정유란, 윤진일, 2005, 생물계절모형을 이용한 벚꽃 개화일 예측, 한국농림기상학회지, 7(2), 148-155
  17. 류상범, 문승의, 조병길, 1993, 남한의 도시화에 따른 기온변동, 한국기상학회지, 29(2), 99-116

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