Change of plant phenophases explained by survival modeling

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Publication date
2017
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01A - Journal article
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International Journal of Biometeorology
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Volume
61
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Pages / Duration
881–889
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Springer
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Abstract
It is known from many studies that plant species show a delay in the timing of flowering events with an increase in latitude and altitude, and an advance with an increase in temperature. Furthermore, in many locations and for many species, flowering dates have advanced over the long-term. New insights using survival modeling are given based on data collected (1970–2010) along a 3000-km long transect from northern to eastern central Europe. We could clearly observe that in the case of dandelion (Taraxacum officinale) the risk of flowering time, in other words the probability that flowering occurs, is higher for an earlier day of year in later decades. Our approach assume that temperature has greater influence than precipitation on the timing of flowering. Evaluation of the predictive power of tested models suggests that Cox models may be used in plant phenological research. The applied Cox model provides improved predictions of flowering dates compared to traditional regression methods and gives further insights into drivers of phenological events.
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Subject (DDC)
330 - Wirtschaft
580 - Pflanzen (Botanik)
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ISBN
ISSN
1432-1254
0020-7128
Language
English
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No
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Published
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Closed
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Citation
TEMPL, Barbara, Stefan FLECK und Matthias TEMPL, 2017. Change of plant phenophases explained by survival modeling. International Journal of Biometeorology. 2017. Bd. 61, S. 881–889. DOI 10.1007/s00484-016-1267-z. Verfügbar unter: https://irf.fhnw.ch/handle/11654/48350