A model estimating the degree of floral transition in an evergreen perennial exposed to warm periods during winter

Increasing winter temperatures jeopardize the yield of fruit trees requiring a prolonged and sufficiently cold winter to flower. Assessing the exact risk to different crop varieties is the first step in mitigating the harmful effect of climate change. Here, we focus on olive (Olea europaea) – a traditional crop in the Mediterranean basin. Olive flowering depends on the sufficiency of cold periods and the lack of warm ones during the preceding winter. Yet, a satisfactory quantitative model forecasting its expected flowering under natural temperature conditions is still lacking. We empirically tested the effect of different temperature regimes on olive flowering intensity and flowering-gene expression. We constructed a dynamic model, describing the response of a putative flowering factor to the temperature signal. The crucial ingredient in the model is an unstable intermediate, produced and degraded at temperature-dependent rates. Our model accounts not only for the number of cold and war..., Hourly temperature data in the different experiment sites starting from 15/10 each autumn and ending at floral evocation (dates vary between the sites). , , # Data from: A model estimating the degree of floral transition in an evergreen perennial exposed to warm periods during winter

[https://doi.org/10.5061/dryad.q573n5tr0](https://doi.org/10.5061/dryad.q573n5tr0)

Hourly temperature data in the experimental sites in the relevant years starting from Oct 15 and ending at floral evocation (dates vary between sites).

## Description of the data and file structure

The data is organized in columns. Each column has a title designating the name of the site and the year in which it was collected. For example: 'Reh 15-16' was collected in Rehovot in the winter of 2015-2016.

Below the title there are 2 columns: the date and time in one column and the temperatures (degrees Celsius) in the other.