TY - JOUR AU - Lados, Botond Boldizsár AU - Cseke, Klára AU - Benke, Attila AU - Köbölkuti, Zoltán Attila AU - Molnár, Csilla AU - Nagy, László AU - Móricz, Norbert AU - Németh, Tamás Márton AU - Borovics, Attila AU - Mészáros, Ilona AU - Tóth, Endre György TI - ddRAD-seq generated genomic SNP dataset of Central and Southeast European Turkey oak (Quercus cerris L.) populations JF - GENETIC RESOURCES AND CROP EVOLUTION J2 - GENET RESOUR CROP EV VL - 2024 PY - 2024 IS - Published 31 January 2024 SP - 1 EP - 11 PG - 11 SN - 0925-9864 DO - 10.1007/s10722-024-01889-5 UR - https://m2.mtmt.hu/api/publication/34568989 ID - 34568989 AB - Turkey oak ( Quercus cerris L.) is one of the most ecologically and economically significant deciduous tree species in the Central and Southeast European regions. The species has long been known to exhibit high levels of genetic and phenotypic variation. Recent climate response predictions for Turkey oak suggest a significant distribution extension in Europe under climate change. Since Turkey oak has relative drought-tolerant behaviour, it is regarded as a potential alternative for other forest tree species during forestry climate adaptation efforts, not only in its native regions but also in Western Europe. For this reason, the survey of existing genetic variability, genetic resources, and adaptability of this species has great significance. Next-generation sequencing approaches, such as ddRAD-seq (Double digest restriction-site associated DNA sequencing), allow the attainment of high-resolution genome-wide single nucleotide polymorphisms (SNPs). This study provides the first highly variable genome-wide SNP data for Turkey oak generated by ddRAD-seq. The dataset comprises 17 607 de novo and 26 059 reference mapped SNPs for 88 individuals from eight populations, two from Bulgaria, one from Kosovo, and five from Hungary. Reference mapping was carried out by using cork oak’s ( Quercus suber L.) reference genome. The obtained high-resolution genome-wide markers are suitable for investigating selection and local adaptation and inferring genetic diversity, differentiation, and population structure. The dataset is accessible at: https://doi.org/10.5281/zenodo.8091252 LA - English DB - MTMT ER - TY - CONF AU - Németh, Tamás Márton AU - Molnár, Tamás AU - Szabó, András AU - Bolla, Bence Kálmán ED - Czimber, Kornél TI - Különböző lombos fafajaink aszályreakciójának értékelése T2 - Erdészeti Tudományos Konferencia Sopron, 2024. február 5-6. : Kivonatok Kötete PB - Soproni Egyetem Erdőmérnöki Kar C1 - Sopron PY - 2024 SP - 49 UR - https://m2.mtmt.hu/api/publication/34523755 ID - 34523755 LA - Hungarian DB - MTMT ER - TY - CHAP AU - Horváth, Bálint AU - István, Szentirmai AU - Zoltán, Scherer AU - Ádám, Faragó AU - Tamás, Bedenek AU - Szabó, András AU - Németh, Tamás Márton AU - Móricz, Norbert AU - Manninger, Miklós AU - Bolla, Bence Kálmán ED - Hrvojević, MPD TI - Aridity as Potential Reason for the Local Decrease of Marsh Fritillary Butterfly (Euphydryas aurinia Rottemburg, 1775) Populations of West Hungary T2 - International Conference on Hydro-Climate Extremes and Society PB - University of Novi Sad, Faculty of Sciences CY - Novi Sad SN - 9788670316225 PY - 2023 SP - 30 PG - 1 UR - https://m2.mtmt.hu/api/publication/34043773 ID - 34043773 LA - English DB - MTMT ER - TY - CHAP AU - Bolla, Bence Kálmán AU - Szabó, András AU - Németh, Tamás Márton AU - Móricz, Norbert AU - Tamás, Bedenek AU - Horváth, Bálint ED - Hrvojević, MPD TI - How May the Historic Drought of 2022 Affected the Forest Stands of Hungary? T2 - International Conference on Hydro-Climate Extremes and Society PB - University of Novi Sad, Faculty of Sciences CY - Novi Sad SN - 9788670316225 PY - 2023 SP - 29 PG - 1 UR - https://m2.mtmt.hu/api/publication/34043764 ID - 34043764 LA - English DB - MTMT ER - TY - CHAP AU - Móricz, Norbert AU - Eötvös, Csaba Béla AU - Horváth, Bálint AU - Bolla, Bence Kálmán AU - Németh, Tamás Márton ED - Blanka, Viktória TI - Dendroclimatological research projects in the Forest Research Institute of University Sopron T2 - XVIII. Kárpát-medencei Környezettudományi konferencia = XVIII. Carpathian Basin Environmental Science Conference PB - Sapientia Erdélyi Magyar Tudományegyetem CY - Szeged SN - 9789633069370 T3 - Kárpát-Medencei Környezettudományi Konferencia, ISSN 1842-9815 PY - 2023 SP - 123 EP - 124 PG - 2 UR - https://m2.mtmt.hu/api/publication/34020953 ID - 34020953 AB - Regional climate models project a fast temperature increase until the end of the 21st century accompanied by an overall decrease in summer precipitation leading to an increase of extreme drought events in the future. Increased drought frequency and severity over the last decades already challenge the silvicultural concepts in Central Europe. Droughts could trigger a long-term decrease in forest productivity, reduced carbon sequestration or, ultimately, forest decline and mortality. Tree-rings preserve an archive of past growing conditions but influenced by a complex interplay of various climatic and environmental factors. Tree ring analysis can be used to quantify the impact of climate change and droughts on tree growth and as an indicator of tree vitality. In the Forest Research Institute of University Sopron, we conducted several dendroclimatological studies since 2016 using standard statistical approaches (e.g. drought growth indices) related e.g. to the black pine mortality event in the Keszthely mountains or the comparative drought response analysis of Turkey oak and sessile oak. Our current research activities focus on the future growth prediction of oak tree species using linear mixed effect models and on drought-tolerant native secondary tree species by applying a multi-proxy method by combining both dendrochronological metrics and stable isotopes. Here, we present a synthesis of our achieved results and future plans. LA - English DB - MTMT ER - TY - CHAP AU - Németh, Tamás Márton AU - Móricz, Norbert ED - Czimber, Kornél TI - Fiatal kocsánytalan tölgy és csertölgy állományok szárazságérzékenységének összehasonlító vizsgálata. Comparative drought sensitivity analysis of young sessile oak and Turkey oak trees in Somogy county (Hungary) TS - Comparative drought sensitivity analysis of young sessile oak and Turkey oak trees in Somogy county (Hungary) T2 - ERDÉSZETI TUDOMÁNYOS KONFERENCIA, SOPRON - 2022 PB - Soproni Egyetem Kiadó CY - Sopron SN - 9789633344217 PY - 2022 SP - 235 EP - 241 PG - 7 UR - https://m2.mtmt.hu/api/publication/33271889 ID - 33271889 LA - Hungarian DB - MTMT ER - TY - CONF AU - Szabó, Orsolya AU - Molnár, Tamás AU - Németh, Tamás Márton AU - Illés, Gábor ED - Czimber, Kornél TI - Agrárerdészeti rendszer megalapozása digitális domborzatmodell segítségével T2 - Erdészeti Tudományos Konferencia, Sopron, 2022. február 10., Kivonatok Kötete PB - Soproni Egyetem Erdőmérnöki Kar C1 - Sopron PY - 2022 SP - 35 PG - 1 UR - https://m2.mtmt.hu/api/publication/32832360 ID - 32832360 LA - Hungarian DB - MTMT ER - TY - JOUR AU - Németh, Tamás Márton AU - Szabó, Orsolya AU - Móricz, Norbert TI - Fiatal somogyi kocsánytalan tölgyek és csertölgyek szárazságérzékenységének összehasonlító vizsgálata JF - ERDÉSZETTUDOMÁNYI KÖZLEMÉNYEK J2 - ERDÉSZETTUD KÖZL VL - 11 PY - 2021 IS - 1-2 SP - 27 EP - 40 PG - 14 SN - 2062-6711 DO - 10.17164/EK.2021.008 UR - https://m2.mtmt.hu/api/publication/32557336 ID - 32557336 LA - Hungarian DB - MTMT ER - TY - JOUR AU - Winkler, Dániel AU - Németh, Tamás Márton AU - Cristina, Fiera TI - A new species of Pseudosinella Schäffer, 1897 (Collembola, Entomobryidae) from Hungary and Romania, with redescription of the related species Pseudosinella huetheri Stomp, 1971 JF - ZOOKEYS J2 - ZOOKEYS VL - 1063 PY - 2021 SP - 121 EP - 137 PG - 17 SN - 1313-2989 DO - 10.3897/zookeys.1063.73094 UR - https://m2.mtmt.hu/api/publication/32240642 ID - 32240642 LA - English DB - MTMT ER - TY - JOUR AU - Németh, Tamás Márton AU - Szabó, Orsolya AU - Móricz, Norbert TI - Aszályok hatása somogyi tölgyes állományokra JF - ERDÉSZETI LAPOK J2 - ERDÉSZETI LAPOK VL - 156 PY - 2021 IS - 5 SP - 183 EP - 185 PG - 3 SN - 1215-0398 UR - https://m2.mtmt.hu/api/publication/32049343 ID - 32049343 LA - Hungarian DB - MTMT ER -