Phenological trends of European beech stands along the Carpathian arc: a 20-year MOD13Q1/MYD13Q1 based analysis
Identifikátory výsledku
Kód výsledku v 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>
Nalezeny alternativní kódy
RIV/62156489:43410/25:43927039 RIV/00216224:14310/25:00141830
Výsledek na webu
<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>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Phenological trends of European beech stands along the Carpathian arc: a 20-year MOD13Q1/MYD13Q1 based analysis
Popis výsledku v původním jazyce
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.
Název v anglickém jazyce
Phenological trends of European beech stands along the Carpathian arc: a 20-year MOD13Q1/MYD13Q1 based analysis
Popis výsledku anglicky
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.
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
10511 - Environmental sciences (social aspects to be 5.7)
Návaznosti výsledku
Projekt
<a href="/cs/project/GF21-47163L" target="_blank" >GF21-47163L: Fyziologická, morfologická a růstová reakce jedle a buku podél geografického gradientu - základ pro predikci budoucího vývoje trendů</a><br>
Návaznosti
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Ostatní
Rok uplatnění
2025
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
European Journal of Remote Sensing
ISSN
2279-7254
e-ISSN
2279-7254
Svazek periodika
58
Číslo periodika v rámci svazku
1
Stát vydavatele periodika
IT - Italská republika
Počet stran výsledku
16
Strana od-do
2506577
Kód UT WoS článku
001489658700001
EID výsledku v databázi Scopus
2-s2.0-105005502341