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

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. <br><br> Multi-year analysis clearly showed a tendency to earlier onset of spring event...

Full description

Bibliographic Details
Main Authors: K. Jatczak, J. Walawender
Format: Article
Language:English
Published: Copernicus Publications 2009-10-01
Series:Advances in Science and Research
Online Access:http://www.adv-sci-res.net/3/127/2009/asr-3-127-2009.pdf
id doaj-3a2b66ee101e4258ae35eda1cb56966f
record_format Article
spelling doaj-3a2b66ee101e4258ae35eda1cb56966f2020-11-24T23:16:59ZengCopernicus PublicationsAdvances in Science and Research1992-06281992-06362009-10-013127131Average rate of phenological changes in Poland according to climatic changes – evaluation and mappingK. JatczakJ. WalawenderThe 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. <br><br> 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. <br><br> 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. <br><br> 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. http://www.adv-sci-res.net/3/127/2009/asr-3-127-2009.pdf
collection DOAJ
language English
format Article
sources DOAJ
author K. Jatczak
J. Walawender
spellingShingle K. Jatczak
J. Walawender
Average rate of phenological changes in Poland according to climatic changes – evaluation and mapping
Advances in Science and Research
author_facet K. Jatczak
J. Walawender
author_sort K. Jatczak
title Average rate of phenological changes in Poland according to climatic changes – evaluation and mapping
title_short Average rate of phenological changes in Poland according to climatic changes – evaluation and mapping
title_full Average rate of phenological changes in Poland according to climatic changes – evaluation and mapping
title_fullStr Average rate of phenological changes in Poland according to climatic changes – evaluation and mapping
title_full_unstemmed Average rate of phenological changes in Poland according to climatic changes – evaluation and mapping
title_sort average rate of phenological changes in poland according to climatic changes – evaluation and mapping
publisher Copernicus Publications
series Advances in Science and Research
issn 1992-0628
1992-0636
publishDate 2009-10-01
description 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. <br><br> 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. <br><br> 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. <br><br> 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.
url http://www.adv-sci-res.net/3/127/2009/asr-3-127-2009.pdf
work_keys_str_mv AT kjatczak averagerateofphenologicalchangesinpolandaccordingtoclimaticchangesevaluationandmapping
AT jwalawender averagerateofphenologicalchangesinpolandaccordingtoclimaticchangesevaluationandmapping
_version_ 1725585409905262592