Phonology and Minimum Temperature as Dual Determinants of Late Frost Risk at Vineyards

발아시기 정밀추정에 의한 포도 만상해 경보방법 개선

  • Jung, Jea-Eun (Department of Ecosystem Engineering Kyung Hee University) ;
  • Yun, Jin-I. (Department of Ecosystem Engineering Kyung Hee University)
  • 정재은 (경희대학교 생태시스템공학과) ;
  • 윤진일 (경희대학교 생태시스템공학과)
  • Published : 2006.03.01

Abstract

An accurate prediction of budburst in grapevines is indispensable for vineyard frost warning system operations in spring because cold tolerance depends heavily on phonology. However, existing frost warning systems utilize only daily minimum temperature forecasts since there is no way to estimate the site-specific phonology of grapevines. A budburst estimation model based on thermal time was used to project budburst dates of two grapevine cultivars (Kyoho and Campbell Early), and advisories were issued depending on phonology as well as temperature. A 'warning' is issued if two conditions are met: the forecasted daily minimum temperature falls below $-1.5^{\circ}C$ and the estimated phonology is within the budburst period. A 'watch' is issued for a temperature range of -1.5 to $+1.5^{\circ}C$ with the same phonology condition. Validation experiments were done at 8 vineyards in Anseong in spring 2005, and the results showed a good agreement with the observations. This method was applied to the climatological normal year (1971-2000) to determine sites with high frost risk at a 30 m grid cell resolution. Among 608,585 grid cells constituting Anseong, 1,059 cells were identified as high risk for growing Kyoho and 2,788 cells for Campbell Early.

근년에 자주 나타나고 있는 봄철 과원의 서리피해는 관측된 기온이 비슷한 지역일지라도 개화 혹은 발아 단계의 과원에서 집중되고 있어 효율적인 상해 경보시스템 운영을 위해서는 발아기 혹은 만개기의 정확한 예측이 필요하다. 품종별 모수가 알려져 있는 포도 거봉, Campbell Early를 대상으로 생물계절모형을 적용하여 발아기를 추정하고 최저기온 예상치와 함께 늦서리 위험도 추정방법을 제시하였다. 이 방법은 발아 이후에 최저기온이 영하로 내려가면 상해가 발생한다고 가정하는데, 추정값의 오차범위를 고려한 발아일 이후 일 최저기온이 $-1.5^{\circ}C$ 이하로 떨어지면 경보(Warning), ${\pm}1.5^{\circ}C$ 사이면 주의보(Watch)를 발령한다. 이 방법을 2004년과 2005년 4월 경기 안성의 포도원에 적용하여 결과의 신뢰도를 확인하였다. 같은 방법으로 1971-2000평년의 기후조건에서 예상되는 안성지역의 포도 늦서리피해 위험지역을 30 m의 고해상도 전자기후도로 표현하였다. 안성시 전역을 30 m 격자점으로 표현하면 총 608,585개로 구성되는데, 평년의 포도 상해위험지역 판정결과 거봉은 1,059지역이, Campbell Early는 2,788지역이 주의지대로 예상된다.

Keywords

References

  1. 농업기술연구소 1990: 주요과수재배지대의 기후특성. 205p
  2. 오성도(대표저자), 2004: 과수온도생리. 도서출판 길모금. 364p
  3. Bootsma, A., 1976: Estimating minimum temperature and climatological freeze risk variations in hilly terrain. Agricultural Meteorology 16,425-443 https://doi.org/10.1016/0002-1571(76)90010-8
  4. Chung, U., H. C. Seo, and J. I. Yun, 2004: Site-specific frost warning based on topoclimatic estimation of daily minimum temperature. Korean Journal of Agricultural and Forest Meteorology 6, 164-169. (In Korean with English abstract)
  5. Chung, U., H. H. Seo, K. H. Hwang, B. S. Hwang, and J. I. Yun, 2002: Minimum temperature mapping in complex terrain considering cold air drainage. Korean Journal of Agricultural and Forest Meteorology 4, 133-140. (In Korean with English abstract)
  6. Jung, J. E., E. Y. Kwon, U. Chung, and J. I. Yun, 2005: Predicting cherry flowering date using a plant phenology model. Korean Journal of Agricultural and Forest Meteorology 7, 148-155. (In Korean with English abstract)
  7. Kwon, E. Y., G. C. Song, and J. I. Yun, 2005: Prediction of dormancy and bud burst in Korean grapevine cultivars using daily temperature data. Korean Journal of Agricultural and Forest Meteorology 7, 185-191. (In Korean with English abstract)
  8. Langhlin, G. P., and J, D. Kalma, 1987: Frost harzard assessment from local weather and terrain data. Agricultural and Forest Meteorology 40, 1-16 https://doi.org/10.1016/0168-1923(87)90050-5
  9. Lindkvist, L, T. Gustavsson, and J. Bogren, 2000: A frost assessment method for mountainous areas. Agricultural and Forest Meteorology 102, 51-67 https://doi.org/10.1016/S0168-1923(99)00087-8
  10. Regniere, J., 1996: Generalized approach to landscape-wide seasonal forecasting with temperature-driven simulation models. Environmental Entomology 25, 896-881
  11. Regniere, J., B. Cook, and V. Bergeron, 1996: BioSim: A computer-based decision support tool for seasonal planning of pest management activities. User's Manual. Canadian Forset Service Info. Rep. LAU-X-116. 50p
  12. Yun, J. I., 2004: Visualization of local climates based on geospatial climatology. Korean Journal of Agricultural and Forest Meteorology 6, 272-289. (In Korean with English abstract)