Szerző szerinti böngészés "Borovics, Attila"
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Tétel Szabadon hozzáférhető Comparison of Juvenile, Drought Tolerant Black Locust (Robinia pseudoacacia L.) Clones with Regard to Plant Physiology and Growth Characteristics in Eastern Hungary: Early Evaluation(2022) Ábri, Tamás; Keserű, Zsolt; Borovics, Attila; Rédei, Károly; Csajbók, JózsefTétel Korlátozottan hozzáférhető ddRAD-seq generated genomic SNP dataset of Central and Southeast European Turkey oak (Quercus cerris L.) populations(2024) Lados, Botond B.; Cseke, Klára; Benke, Attila; Köbölkuti, Zoltán Attila; Molnár, Csilla Éva; Nagy, László; Móricz, Norbert; Németh, Tamás Márton; Borovics, Attila; Mészáros, Ilona; Tóth, Endre GyörgyTétel Szabadon hozzáférhető Differences in the Growth and the Ecophysiology of Newly Bred, Drought-Tolerant Black Locust Clones(2023) Ábri, Tamás; Borovics, Attila; Csajbók, József; Kovács, Elza; Koltay, András; Keserű, Zsolt; Rédei, KárolyTétel Szabadon hozzáférhető Estimating the amount and heating value of wood waste burned in households based on FICM HWP model output data(2025-06-08) Király, Éva; Kis-Kovács, Gábor; Börcsök, Zoltán; Kocsis, Zoltán; Kottek, Péter; Németh, Gábor; Polgár, András; Borovics, AttilaA 2009 study published by the Regional Centre for Energy Policy Research (RCEPR) sparked significant debate within the Hungarian forestry and wood industry sectors. The study suggested a substantial shortfall in the balance of solid bioenergy biomass usage and sources, which it attributed to large-scale illegal logging. The Bio Screen CCE Project updated this analysis and quantified a 37.2 PJ (43%) deficit in the solid bioenergy biomass balance for 2019. This study investigates the extent to which household wood waste burning could account for this shortfall. Using the Forest Industry Carbon Model (FICM) HWP submodel, the authors estimate that over 1.2 million m³ of wood waste may be burned annually in households. The heating value of this burned wood waste for 2019 is estimated at 14 PJ, explaining 39% of the shortfall identified in the Bio Screen CCE Project’s 2021 report.Tétel Szabadon hozzáférhető Genome-wide SNP discovery in native American and Hungarian Robinia pseudoacacia genotypes using next-generation double-digest restriction-site-associated DNA sequencing (ddRAD-Seq)(2023) Köbölkuti, Zoltán Attila; Tóth, Endre György; Keserű, Zsolt; Fike, John H.; Bolla, Bence; Ábri, Tamás; Borovics, Attila; Benke, Attila; Cseke, KláraTétel Szabadon hozzáférhető Mezőgazdasági erdőgazdálkodás(Debreceni Egyetemi Kiadó – Debrecen University Press, 2025-06-03) Rédei, Károly; Schiberna, Endre; Keserű, Zsolt; Ábri, Tamás; Borovics, Attila; Benke, Attila; Honfy, Veronika; DE--Mezőgazdaság- Élelmiszertudományi és Környezetgazdálkodási Kar; Rédei, KárolySzerző azzal a hittel készítette e kiadványt, hogy annak olvasója időtálló, a kapcsolódó újabb kutatás-fejlesztési eredményekre alapozó, ugyanakkor gyakorlatorientált ismeretekhez jusson. A jegyzet, célját tekintve nem csak az egyetemi hallgatókhoz kíván szólni, hanem mindazokhoz, akik bármilyen módon kapcsolódnak az erdő- és faültetvény telepítés nemzeti programjához és annak sikeres megvalósításához.Tétel Szabadon hozzáférhető A new model for predicting carbon storage dynamics and emissions related to the waste management of wood products: introduction of the HWP-RIAL model(2023-06-05) Király, Éva; Börcsök, Zoltán; Kocsis, Zoltán; Németh, Gábor; Polgár, András; Borovics, AttilaThe ability of wood products to store carbon allows for their significant contribution to the climate mitigation efforts and the emission reduction commitments set by the EU. In order to optimise the carbon storage capacity of wood products, it is important to take climate mitigation aspects into consideration as much as possible during their production, use and waste management. The aim of this study was to quantify the effects of product development, recycling, and waste management technologies on carbon storage and emissions. In the frame of the ForestLab project, a new model and decision support tool was developed, which is able to predict the duration of carbon storage of wood products and the evolution of emissions from them. The developed HWP-RIAL model (Harvested Wood Product Recycling, Incineration And Landfill model) uses the methodology of the Intergovernmental Panel on Climate Change (IPCC) to calculate emissions, which is also used in the National Greenhouse Gas Inventory report. It combines the IPCC waste model with equations describing the carbon storage and emissions of wood products, and the model is also supplemented with a self-developed recycling and waste routing module. This paper provides insight into the operation of the model by following the life cycle of 200,000 m 3 particle board.Tétel Szabadon hozzáférhető Preparatory study for carbon sequestration modelling of agroforestry systems in Hungary: The assessment of the yield class distribution of windbreaks(2024-06-03) Kiraly, Eva; Borovics, AttilaThe escalating carbon dioxide emissions leading to global climate change are acknowledged as a paramount environmental challenge in the twenty-first century. The significance of land use systems in stabilising carbon dioxide levels and enhancing carbon sink potential has gained noteworthy attention from both the scientific and political communities. The Intergovernmental Panel on Climate Change emphasises that agroforestry systems present vital prospects for synergising climate change adaptation and mitigation efforts, offering substantial technical mitigation potential. Windbreaks are well-known agroforestry systems in Hungary and form an important part of agricultural landscapes. The improved agroforestry subsidy system in our country makes it relevant to model the carbon sequestration potential of windbreaks. In the framework of the ForestLab project we plan to develop a carbon sequestration model specific for Hungarian agroforestry systems. In this study, as a preparatory step of the model development, we assessed the yield class distribution of Hungarian windbreaks by tree species group and identified variables that had significant effect on yield class based on the data of the National Forestry Database. Our results show that among the examined effects the most important predictor of the yield class of windbreaks was the tree species group, followed by the thickness of the productive soil layer and the hydrology of the site.Tétel Szabadon hozzáférhető Radial growth projections reveal site-specific futures of different oak species with contrasting water availability in SW Hungary(2025) Móricz, Norbert; Mészáros, Ilona; Illés, Gábor Zoltán; Garamszegi, Balázs; Eötvös, Csaba Béla; Kern, Anikó; Hirka, Anikó; Berki, Imre; Borovics, Attila; Hollós, Roland; Németh, Tamás MártonTétel Szabadon hozzáférhető Small-scale variability in phenological, leaf morphological properties and isoenzyme pattern of sessile oak complex (Lepidobalanus sub-genus) in a sessile oak-Turkey oak forest stand(2008) Kanalas, Péter; Szőllősi, Erzsébet; Oláh, Viktor; Borovics, Attila; Mészáros, IlonaTétel Szabadon hozzáférhető Taxonómiai, populációgenetikai és fenológiai vizsgálatok egy síkfőkúti erdő fehér tölgyeinek körében(2009) Kanalas, Péter; Borovics, Attila; Cseke, Klára; Szőllősi, Erzsébet; Oláh, Viktor; Fenyvesi, András; Mészáros, IlonaTétel Szabadon hozzáférhető The effect of tree spacing on yields of Alley Cropping Systems: A case study from Hungary(2023) Honfy, Veronika; Pödör, Zoltán; Keserű, Zsolt; Rásó, János; Ábri, Tamás; Borovics, Attila