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Advances in Science and Research Contributions in Applied Meteorology and Climatology
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Volume 3, issue 1
Adv. Sci. Res., 3, 127–131, 2009
https://doi.org/10.5194/asr-3-127-2009
© Author(s) 2009. This work is distributed under
the Creative Commons Attribution 3.0 License.
Adv. Sci. Res., 3, 127–131, 2009
https://doi.org/10.5194/asr-3-127-2009
© Author(s) 2009. This work is distributed under
the Creative Commons Attribution 3.0 License.

  13 Oct 2009

13 Oct 2009

Average rate of phenological changes in Poland according to climatic changes – evaluation and mapping

K. Jatczak1,2 and J. Walawender3,4 K. Jatczak and J. Walawender
  • 1Meteorology Centre, Institute of Meteorology and Water Management, Warsaw, Poland
  • 2Faculty of Biology, University of Warsaw, Poland
  • 3Satellite Remote Sensing Centre, Institute of Meteorology and Water Management, Poland
  • 4Department of Climatology, Institute of Geography and Spatial Management, Jagiellonian University, Krakow, Poland

Abstract. The main objective of this study was evaluation and mapping of an average rate of phenological changes for example special plant s indicators as a result of climatic changes in Poland.

Multi-year analysis clearly showed a tendency to earlier onset of spring events. The average advance of flowering/leafing was −1.4 days/decade and −2.4 days/1°C. Whereas the response of autumn phenophases was ambiguous. Phenological and climate data come from archives of the Institute of Meteorology and Water Management.

Analysis covered the period of 1951–1992. The relation between temperature and date of phenophases was described with Pearson's linear regression model. Statistical significance of the model parameters was checked with Student's t-test at the following levels: 0.05, 0.01, and 0.001.

The results were visualised on maps. ArcGIS 9.2 Geostatistical Analyst was used to examine the data and create prediction maps. Numerous tests were performed in order to find an appropriate method of spatial interpolation. Finally kriging was chosen as the most precise.

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