Peter Marcis

Dr. Peter Marcis

orcid

Research Focus & Metrics

Academic Career Length

6Years (2021-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 August 2021 in Agricultural and Forest Meteorology
Verified
Journal Article
Closed access
MBMichal Bošeľa
Michal Bošeľa
IŠIgor Štefančík
Igor Štefančík
PMPeter Marcis
Peter Marcis
Álvaro Rubio-CuadradoÁlvaro Rubio-Cuadrado
Álvaro Rubio-Cuadrado
Martin LukacMartin Lukac
Martin Lukac

25 August 2023 in Forest Ecology and Management
Verified
Journal Article
Closed access
JRJerguš Rybár
Jerguš Rybár
MBMichal Bošeľa
Michal Bošeľa
PMPeter Marcis
Peter Marcis
MUMariana Ujházyová
Mariana Ujházyová
DPDominik Polťák
Dominik Polťák
KUKarol Ujházy
Karol Ujházy

30 May 2025 in Forest Ecology and Management
Verified
Journal Article
Open access
MBMichal Bošeľa
Michal Bošeľa
PMPeter Marcis
Peter Marcis
DPDominik Polťák
Dominik Polťák
JRJerguš Rybár
Jerguš Rybár
PSPeter Fleischer Sr
Peter Fleischer Sr
RMRaisa Mäkipää
Raisa Mäkipää

6 December 2023 in Plants
Verified
Journal Article
Open access
PDF file
JRJerguš Rybár
Jerguš Rybár
ZSZuzana Sitková
Zuzana Sitková
PMPeter Marcis
Peter Marcis
PPPavel Pavlenda
Pavel Pavlenda
JPJozef Pajtík
Jozef Pajtík
This study investigates the radial growth response of five key European forest tree species, i.e., Fagus sylvatica, Picea abies, Abies alba, Quercus petraea, and Pinus sylvestris, to dry years in the West Carpathians, Slovakia. Utilizing data from ICP Forests Level I plots, we identified species-specific growth declines, particularly in Pinus sylvestris and Fagus sylvatica, with milder radial growth declines for Quercus petraea and Picea abies. Abies alba exhibited a growth peak in the mid-2000s, followed by a decline in the end of the observed period. Elevation emerged as the only significant environmental predictor, explaining 3.5% of growth variability during dry periods, suggesting a potential mitigating effect. The scope of this study was limited by the complex interplay of ecological factors that influence tree growth, which vary across the ICP Forests Level I monitoring sites. Nonetheless, our findings enhance the understanding of species-specific growth responses and offer insights for the climate-smart management of temperate forests under changing conditions.

20 May 2025 in Agricultural and Forest Meteorology
Verified
Journal Article
Closed access
PMPeter Marcis
Peter Marcis
JVJaroslav Vido
Jaroslav Vido
DKDaniel Kurjak
Daniel Kurjak
ALAdriana Lestianska
Adriana Lestianska
DPDominik Poltak
Dominik Poltak
MBMichal Bošeľa
Michal Bošeľa

27 September 2025 in Plants
Verified
Journal Article
Open access
PDF file
BKBohdan Konôpka
Bohdan Konôpka
JPJozef Pajtík
Jozef Pajtík
PMPeter Marcis
Peter Marcis
Vladimír ŠebeňVladimír Šebeň
Vladimír Šebeň
Our study focused on the quantification of aboveground biomass stock and aboveground net primary productivity (ANPP) in young, planted beech (Fagus sylvatica L.). We selected 15 young even-aged stands targeting moderately fertile sites. Three rectangular plots were established within each stand, and all trees were annually measured for height and stem basal diameter from 2020 to 2024. For biomass modeling, we conducted destructive sampling of 111 beech trees. Each tree was separated into foliage and woody components, oven-dried, and weighed to determine dry mass. Allometric models were developed using these predictors: tree height, stem basal diameter, and their combination. Biomass accumulation was closely correlated with stand age, allowing us to scale tree-level models to stand-level predictions using age as a common predictor. Biomass stocks of both woody parts and foliage increased with stand age, reaching 48 Mg ha−1 and 6 Mg ha−1, respectively, at the age of 15 years. A comparative analysis indicated generally higher biomass in naturally regenerated stands, except for foliage at age 16, where planted stands caught up with the naturally regenerated ones. Our findings contribute to a better understanding of forest productivity dynamics and offer practical models for estimating carbon sequestration potential in managed forest ecosystems.