Phenological trends of European beech stands along the Carpathian arc: a 20-year MOD13Q1/MYD13Q1 based analysis
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F86652079%3A_____%2F25%3A00619891" target="_blank" >RIV/86652079:_____/25:00619891 - isvavai.cz</a>
Alternative codes found
RIV/62156489:43410/25:43927039 RIV/00216224:14310/25:00141830
Result on the web
<a href="https://www.tandfonline.com/doi/full/10.1080/22797254.2025.2506576" target="_blank" >https://www.tandfonline.com/doi/full/10.1080/22797254.2025.2506576</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1080/22797254.2025.2506576" target="_blank" >10.1080/22797254.2025.2506576</a>
Alternative languages
Result language
angličtina
Original language name
Phenological trends of European beech stands along the Carpathian arc: a 20-year MOD13Q1/MYD13Q1 based analysis
Original language description
European forests are severely threatened by rapid global climate change. Predicting the effects of climate change on the future performance of tree species can be enhanced by using geographical gradients as space-time proxies. This study focuses on analysing seasonal and inter-annual phenological trends for eight sites of European beech (Fagus sylvatica L.) in the Carpathians along such geographical gradient. Using time series of the Enhanced Vegetation Index (EVI) from 2003 to 2022, derived from 16-day MODIS Terra and Aqua vegetation products, combined with meteorological parameters (temperature and precipitation) interpolated for a grid and Land Surface Temperature (LST) data from Landsat, we compared annual forest development at the study sites and extracted key phenological metrics (start, length, and end of the growing season) using the phenofit software package for R. Our results show varied responses of the studied forest sites to climate change. The end of season extended significantly at Soveja (slope = 0.50, p = 0.023). Spring temperatures had negative correlations with the start of season (r = -0.37) and autumn temperatures positive correlation with the end of season (r = 0.43). Understanding these patterns is crucial for developing adaptive forest management strategies in Carpathians.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10511 - Environmental sciences (social aspects to be 5.7)
Result continuities
Project
<a href="/en/project/GF21-47163L" target="_blank" >GF21-47163L: Physiological, morphological and growth response of fir and beech along the geographical gradient – basis for predicting future development trends</a><br>
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
European Journal of Remote Sensing
ISSN
2279-7254
e-ISSN
2279-7254
Volume of the periodical
58
Issue of the periodical within the volume
1
Country of publishing house
IT - ITALY
Number of pages
16
Pages from-to
2506577
UT code for WoS article
001489658700001
EID of the result in the Scopus database
2-s2.0-105005502341