Critical Climate Periods Explain a Large Fraction of the Observed Variability in Vegetation State
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41320%2F22%3A94343" target="_blank" >RIV/60460709:41320/22:94343 - isvavai.cz</a>
Result on the web
<a href="https://www.mdpi.com/2072-4292/14/21/5621" target="_blank" >https://www.mdpi.com/2072-4292/14/21/5621</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3390/rs14215621" target="_blank" >10.3390/rs14215621</a>
Alternative languages
Result language
angličtina
Original language name
Critical Climate Periods Explain a Large Fraction of the Observed Variability in Vegetation State
Original language description
Previous studies have suggested that a major part of the observed variability in vegetation state might be associated with variability in climatic drivers during relatively short periods within the year. Identification of such critical climate periods, when a particular climate variable most likely has a pronounced influence on the vegetation state of a particular ecosystem, becomes increasingly important in the light of climate change. In this study, we present a method to identify critical climate periods for eight different semi-natural ecosystem categories in Hungary, in Central Europe. The analysis was based on the moving-window correlation between MODIS NDVI/LAI and six climate variables with different time lags during the period 2000-2020. Distinct differences between the important climate variables, critical period lengths, and direction (positive or negative correlations) have been found for different ecosystem categories. Multiple linear models for NDVI and LAI were constructed to quantify
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
20705 - Remote sensing
Result continuities
Project
<a href="/en/project/EF16_019%2F0000803" target="_blank" >EF16_019/0000803: Advanced research supporting the forestry and wood-processing sector´s adaptation to global change and the 4th industrial revolution</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Remote Sensing
ISSN
2072-4292
e-ISSN
—
Volume of the periodical
14
Issue of the periodical within the volume
21
Country of publishing house
CH - SWITZERLAND
Number of pages
27
Pages from-to
1-27
UT code for WoS article
000883589800001
EID of the result in the Scopus database
2-s2.0-85141853043