Επίπεδο εγγραφής:	Έργο ολοκληρωμένο
Εξωτερική διεύθυνση διάθεσης πλήρους ψηφιακού τεκμηρίου με ανοικτή πρόσβαση (link):	https://www.mdpi.com/2073-4433/17/1/108
Χρονολογία:	2026
Θέμα:	Climate Forest management Abies cephalonica
Δημιουργός:	Koulelis, Panagiotis Solomou, Alexandra Bourletsikas, Athanassios Κουλελής, Παναγιώτης Σολωμού, Αλεξάνδρα Μπουρλέτσικας, Αθανάσιος
Τίτλος:	Climate Signals and Carry-Over Effects in Mediterranean Mountain Fir Forests: Early Insights from Autoregressive Tree-Ring Models
Γλώσσα:	Αγγλικά
Λέξεις-Κλειδιά:	Abies cephalonica; Climate; Altitude; Autoregressive model; Κεφαλληνιακή ελάτη; Κλίμα; Παρνασσός
Προσδιοριστής:	DOI: https
Περίληψη:	Climate fluctuations are expected to drive a decline in the growth of many conifer and broadleaf species, especially in the Mediterranean region, where these species grow at or very near the southern limits of their distribution. Such trends have important implications not only for forest productivity but also for plant diversity, as shifts in species performance may alter competitive interactions and long-term community composition. Using tree-ring data sourced from two Abies cephalonica stands with different elevation in Mount Parnassus in Central Greece, we evaluate the growth responses of the species to climatic variability employing a dendroecological approach. We hypothesize that radial growth at higher elevations is more strongly influenced by climate variability than at lower elevations. Despite the moderate to relatively good common signal indicated by the expressed population signal (EPS: 0.645 for the high-altitude stand and 0.782 for the low-altitude stand), the chronologies for both sites preserve crucial stand-level growth patterns, providing an important basis for ecological insights. The calculation of the Average Tree-Ring Width Index (ARWI) for both sites revealed that fir in both altitudes exhibited a decline in growth rates from the late 1980s to the early 1990s, followed by a general recovery and increase throughout the late 1990s. They also both experienced a significant decline in growth between approximately 2018 and 2022. The best-fit model for annual ring-width variation at lower elevations was a simple autoregressive model of order one (AR1), where growth was driven exclusively by the previous year’s growth (p < 0.001). At the higher elevation, a more complex model emerged: while previous year’s growth remained significant (p < 0.001), other variables such as maximum growing season temperature (p = 0.041), annual temperature (inverse effect, p = 0.039), annual precipitation (p = 0.017), and evapotranspiration (p = 0.039) also had a statistically significant impact on tree growth. Our results emphasize the prominent role of carry-over effects in shaping their annual growth patterns.
Εξειδίκευση τύπου :	Άρθρο
Τίτλος περιέχουσας πηγής:	Atmosphere
Άδεια χρήσης:	Αναφορά Μη Εμπορική Χρήση Παρόμοια Δανομή
Διάθεση ψηφιακού τεκμηρίου:	Πλήρης
Αρίθμηση περιέχουσας πηγής:	vol. 17(1), 108
Εμφανίζεται στις Ομάδες Τεκμηρίων:	2.1.3. Κλιματολογία - Μετεωρολογία 4.1.1. Δασική Διαχειριστική 4.1.2. Δασική Οικονομική

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