2022
DOI: 10.3390/f13091417
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Mismatch between Annual Tree-Ring Width Growth and NDVI Index in Norway Spruce Stands of Central Europe

Abstract: Presently, the forests of one of the most economically important tree species in Europe—Norway spruce [Picea abies (L.) Karst.]—have been disrupted and are in rapid decline due to a combination of several natural factors: extreme drought, heatwaves, and secondary damage caused by bark beetle outbreaks. The vulnerability of these forests has increased considerably over the past decade, and remote sensing methods can theoretically improve the identification of endangered forest stands. The main objective was to … Show more

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Cited by 15 publications
(8 citation statements)
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“…This confirms the reliability of tree-ring measurements in supporting remote sensing information to better understand forest growth and related processes, like carbon sequestration [37]. Some authors have reported weak and divergent correlations between the NDVI and tree-ring measurements of coniferous and deciduous species [38][39][40], but they used data from sensors of lower spatial resolution, which may explain this lack of significance. Mašek et al [13] reported that tree rings and the NDVI were decoupled for Pinus sylvetris and Abies picea; however, they suggested that topography is very important in explaining NDVI variation and tree growth.…”
Section: Tree-ring and Ndvi Correlationmentioning
confidence: 55%
“…This confirms the reliability of tree-ring measurements in supporting remote sensing information to better understand forest growth and related processes, like carbon sequestration [37]. Some authors have reported weak and divergent correlations between the NDVI and tree-ring measurements of coniferous and deciduous species [38][39][40], but they used data from sensors of lower spatial resolution, which may explain this lack of significance. Mašek et al [13] reported that tree rings and the NDVI were decoupled for Pinus sylvetris and Abies picea; however, they suggested that topography is very important in explaining NDVI variation and tree growth.…”
Section: Tree-ring and Ndvi Correlationmentioning
confidence: 55%
“…There is a loose linkage between tree-ring information and remote sensing data [17,18], and the magnitude of this linkage varies among climates, forest types, and environmental conditions. D'Andrea et al [19] explored forest decline using tree-ring and NDVI data and found that higher correlations between tree-ring and NDVI data were observed at drought-prone sites; a similar conclusion was obtained in Bunn et al [20]. Coulthard et al [21] suggested that the relationship between tree-ring and NDVI data might stem from the interaction between precipitation and stand differences.…”
Section: Introductionmentioning
confidence: 65%
“…The distribution of carbohydrates in tree structures can make it difficult to match NDVI and TRW values [52], for which reason it is recommended to extend observations of phenology and xylogenesis, as well as to extend the spatial and temporal resolution of the remote sensor. In other words, the delay of carbon allocation in radial stands may take longer than the period of analysis utilized here, depending on the physiological conditions of the tree, including its distribution priorities throughout its structures.…”
Section: Discussionmentioning
confidence: 99%