Disentangling the multi-faceted growth patterns of primary Picea abies forests in the Carpathian arc

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41320%2F19%3A80323" target="_blank" >RIV/60460709:41320/19:80323 - isvavai.cz</a>

Výsledek na webu

<a href="https://www.sciencedirect.com/science/article/pii/S0168192319301066?via%3Dihub" target="_blank" >https://www.sciencedirect.com/science/article/pii/S0168192319301066?via%3Dihub</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.agrformet.2019.03.002" target="_blank" >10.1016/j.agrformet.2019.03.002</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Disentangling the multi-faceted growth patterns of primary Picea abies forests in the Carpathian arc

Popis výsledku v původním jazyce

A tree s radial growth sequence can be thought of as an aggregate of different growth components such as age and size limitations, presence or absence of disturbance events, continuous impact of climate variability and variance induced by unknown origin. The potentially very complex growth patterns with prominent temporal and spatial variability imply that our understanding of climate-vegetation feedbacks essentially benefits from the expansion of large tree ring networks into data-poor regions, and our ability to disentangle growth constraints by comparing ring series at multiple scales. In this study, we analyze Central-Eastern Europe s most substantial assemblage of primary Norway spruce forests found in the Carpathian arc. The vast data set, more than 10,000 tree-ring series, is stratified along a prominent gradient in climate response space over four separate landscapes. We integrated curve intervention detection and dendroclimatic standardization to decompose tree growth variance into climatic,

Název v anglickém jazyce

Disentangling the multi-faceted growth patterns of primary Picea abies forests in the Carpathian arc

Popis výsledku anglicky

A tree s radial growth sequence can be thought of as an aggregate of different growth components such as age and size limitations, presence or absence of disturbance events, continuous impact of climate variability and variance induced by unknown origin. The potentially very complex growth patterns with prominent temporal and spatial variability imply that our understanding of climate-vegetation feedbacks essentially benefits from the expansion of large tree ring networks into data-poor regions, and our ability to disentangle growth constraints by comparing ring series at multiple scales. In this study, we analyze Central-Eastern Europe s most substantial assemblage of primary Norway spruce forests found in the Carpathian arc. The vast data set, more than 10,000 tree-ring series, is stratified along a prominent gradient in climate response space over four separate landscapes. We integrated curve intervention detection and dendroclimatic standardization to decompose tree growth variance into climatic,

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

40102 - Forestry

Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2019

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

AGRICULTURAL AND FOREST METEOROLOGY

ISSN

0168-1923

e-ISSN

—

Svazek periodika

271

Číslo periodika v rámci svazku

2019

Stát vydavatele periodika

CZ - Česká republika

Počet stran výsledku

11

Strana od-do

214-224

Kód UT WoS článku

000468709200021

EID výsledku v databázi Scopus

2-s2.0-85062840811