An indicator of freeze-kill damages to fruit trees during flowering

• Published in: International journal of biometeorology Vol. 65; no. 6; pp. 813 - 825
• Main Authors: Kaharabata, S., Desjardins, R. L.
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.06.2021; Springer Nature B.V
• Subjects: Animal Physiology; Apples; Biological and Medical Physics; Biophysics; Budding; Climate change; Daily temperatures; Earth and Environmental Science; Environment; Environmental Health; Extreme value distribution; Extreme values; Flowering; Food preservation; Freeze-thawing; Freezing; Fruit trees; Fruits; Meteorology; Minimum temperatures; Original Paper; Plant Physiology; Spring (season); Trees; Fruit production; Climate change; Return period; Freeze-kill; Blooming; Flowering; Spring
• ISSN: 0020-7128; 1432-1254
• DOI: 10.1007/s00484-020-02055-z

This paper demonstrates the use of climatological data and published information to develop a thaw-freeze/freeze-kill indicator for fruit trees during flowering. In fruit-producing regions, when budding and flowering occur before the last spring freeze, a freeze-kill event can cause substantial losses. As spring onset is occurring earlier with climate change, thaw-freeze events have the potential to become more of a hazard both in terms of current production and in terms of potential adaptation strategies. To model the spring thaw-freeze and its magnitude or intensity, we proposed an indicator based on the accumulation of daily minimum temperature between successive freezing dates and its maximum value over the spring. This indicator was tested on apple and peach production in southern Ontario, Canada, using data from eight climate stations in southern Ontario. The indicator showed promise in its utility in that its magnitude was greater when freezing occurred after blooming and it was demonstrated to be correlated to the estimated blooming dates of apple and peach fruits grown in southern Ontario. The annual series was shown to fit the generalized extreme value distribution thereby allowing the extreme risk to be modelled and the return period to be calculated. It was also shown that the reported thaw-freeze events that caused significant apple and peach losses had a return period on the order of 10 years.