TY - CHAP AU - Tanács, Eszter AU - Bede-Fazekas, Ákos AU - Standovár, Tibor AU - Pásztor, László AU - Szitár, Katalin AU - Csecserits, Anikó AU - Kiss, Márton AU - Zlinszky, András AU - Vári, Ágnes ED - Kovács-Hostyánszki, Anikó ED - Kisné, Fodor Lívia ED - Zsembery, Zita ED - Tanács, Eszter TI - Az ökoszisztémák állapotának értelmezése, indikátorok T2 - Hazai ökoszisztéma-szolgáltatások térképezése és értékelése PB - Agrárminisztérium CY - Budapest SN - 9786156446077 PY - 2022 SP - 50 EP - 74 PG - 24 UR - https://m2.mtmt.hu/api/publication/33715316 ID - 33715316 LA - Hungarian DB - MTMT ER - TY - JOUR AU - Tanács, Eszter AU - Bede-Fazekas, Ákos AU - Csecserits, Anikó AU - Kisné Fodor, Lívia AU - Pásztor, László AU - Somodi, Imelda AU - Standovár, Tibor AU - Zlinszky, András AU - Zsembery, Zita AU - Vári, Ágnes TI - Assessing ecosystem condition at the national level in Hungary - indicators, approaches, challenges JF - ONE ECOSYSTEM J2 - ONE ECOSYST VL - 7 PY - 2022 SN - 2367-8194 DO - 10.3897/oneeco.7.e81543 UR - https://m2.mtmt.hu/api/publication/32807251 ID - 32807251 N1 - Institute of Ecology and Botany, Centre for Ecological Research, Vácrátót, Hungary Eötvös Loránd University, Faculty of Science, Department of Environmental and Landscape Geography, Budapest, Hungary Nature Conservation Department, Ministry of Agriculture, Budapest, Hungary Institute for Soil Sciences, Centre for Agricultural Research, Budapest, Hungary Department of Plant Systematics, Ecology and Theoretical Biology, Eötvös Loránd University, Budapest, Hungary Ulyssys Software Development and Consulting Ltd, Budapest, Hungary Export Date: 14 September 2022 Correspondence Address: Tanács, E.; Institute of Ecology and Botany, Vácrátót, Hungary; email: tanacs.eszter@ecolres.hu LA - English DB - MTMT ER - TY - CHAP AU - Tanács, Eszter AU - Zlinszky, András AU - Vári, Ágnes ED - Tanács, Eszter ED - Kisné, Fodor Lívia TI - Vizes élőhelyek T2 - A hazai ökoszisztémák állapota PB - Agrárminisztérium CY - Budapest SN - 9786155673900 PY - 2021 SP - 44 EP - 52 PG - 9 UR - https://m2.mtmt.hu/api/publication/32672118 ID - 32672118 LA - Hungarian DB - MTMT ER - TY - JOUR AU - Koma, Zsófia AU - Zlinszky, András AU - Bekő, László AU - Burai, Péter AU - Seijmonsbergen, Arie C. AU - Kissling, W. Daniel TI - Quantifying 3D vegetation structure in wetlands using differently measured airborne laser scanning data JF - ECOLOGICAL INDICATORS J2 - ECOL INDIC VL - 127 PY - 2021 SN - 1470-160X DO - 10.1016/j.ecolind.2021.107752 UR - https://m2.mtmt.hu/api/publication/32077627 ID - 32077627 AB - Mapping and quantifying 3D vegetation structure is essential for assessing and monitoring ecosystem structure and function within wetlands. Airborne Laser Scanning (ALS) is a promising data source for developing indicators of 3D vegetation structure, but derived metrics are often not compared with 3D structural field measurements and the acquisition of ALS data is rarely standardized across different remote sensing surveys. Here, we compare a set of Light Detection And Ranging (LiDAR) metrics derived from ALS datasets with varying characteristics to a standardized set of field measurements of vegetation height, biomass and Leaf Area Index (LAI) across three Hungarian lakes (Lake Balaton, Lake Fert.o and Lake Tisza). The ALS datasets differed in whether the recording type was full waveform (FWF) or discrete return, and in their point density (4 pt/m(2) and 21 pt/m(2)). A total of eight LiDAR metrics captured radiometric information as well as descriptors of vegetation cover, height and vertical variability. Multivariate regression models with field-based measurements of vegetation height, biomass or LAI as response variable and LiDAR metrics as predictors showed major differences between ALS recording types, and were affected by differences in spatial resolution, temporal offset and seasonality between field and ALS data acquisition. Vegetation height could be estimated with high to intermediate accuracy (FWF ALS data only: R-2 = 0.84; combination of ALS datasets: R-2 = 0.67), demonstrating its potential as a robust indicator of 3D vegetation structure across different ALS datasets. In contrast, the estimation of biomass and LAI in these wetlands was sensitive to variation in ALS characteristics and to the discrepancies between field and ALS data in terms of spatial resolution, temporal offset and seasonality (biomass: R-2 = 0.20-0.22; LAI: R-2 = 0.08-0.30). We recommend the use of FWF ALS data within wetlands because it captures more vegetation structural details in dense reed and marshland vegetation. We further suggest that ecologists and remote sensing scientist should better coordinate the simultaneous and standardized acquisition of field and ALS data for testing the robustness of quantitative descriptors of vegetation cover, height and vertical variability within wetlands. This is important for establishing operational and spatially contiguous ALS-based indicators of 3D ecosystem structure across wetlands. LA - English DB - MTMT ER - TY - JOUR AU - Feilhauer, Hannes AU - Zlinszky, András AU - Kania, Adam AU - Foody, Giles M. AU - Doktor, Daniel AU - Lausch, Angela AU - Schmidtlein, Sebastian TI - Let your maps be fuzzy!—Class probabilities and floristic gradients as alternatives to crisp mapping for remote sensing of vegetation JF - REMOTE SENSING IN ECOLOGY AND CONSERVATION J2 - REMOTE SENS ECOL CON VL - 7 PY - 2021 IS - 2 SP - 292 EP - 305 PG - 14 SN - 2056-3485 DO - 10.1002/rse2.188 UR - https://m2.mtmt.hu/api/publication/31679872 ID - 31679872 LA - English DB - MTMT ER - TY - CHAP AU - Síkhegyi, Ferenc AU - Timár, Gábor AU - Brezsnyánszky, Károly AU - Galambos, Csilla AU - Zlinszky, András ED - Babinszki, Edit ED - Horváth, Ferenc TI - A Balaton ábrázolása térképeken T2 - A Balaton kutatása Lóczy Lajos nyomdokán PB - Magyarhoni Földtani Társulat CY - Budapest SN - 9789638221810 PY - 2020 SP - 311 EP - 339 PG - 29 UR - https://m2.mtmt.hu/api/publication/31607500 ID - 31607500 LA - Hungarian DB - MTMT ER - TY - JOUR AU - Gyenese, Tamás AU - Zlinszky, András AU - Albert, Gáspár TI - A balatoni nádasok pusztulása és regenerációja a mederdinamika függvényében = DIE-BACK AND REGENERATION OF REED WETLANDS ON LAKE BALATON IN CONNECTION WITH LOCAL SEDIMENT DYNAMICS JF - FÖLDRAJZI KÖZLEMÉNYEK J2 - FÖLDRAJZI KÖZLEMÉNYEK VL - 143 PY - 2019 IS - 3 SP - 197 EP - 209 PG - 13 SN - 0015-5411 DO - 10.32643/fk.143.3.1 UR - https://m2.mtmt.hu/api/publication/30941822 ID - 30941822 LA - Hungarian DB - MTMT ER - TY - JOUR AU - Lengyel, Szabolcs AU - Bela, Györgyi AU - Zlinszky, András AU - Molnár, Zsolt AU - Báldi, András TI - A biológiai sokféleség és az ökoszisztémaszolgáltatások helyzete Európában és Közép-Ázsiában: az IPBES regionális értékelő tanulmánya JF - TERMÉSZETVÉDELMI KÖZLEMÉNYEK J2 - TERMÉSZETVÉD KÖZLEM VL - 25 PY - 2019 SP - 112 EP - 130 PG - 19 SN - 1216-4585 DO - 10.20332/tvk-jnatconserv.2019.25.112 UR - https://m2.mtmt.hu/api/publication/30918204 ID - 30918204 LA - Hungarian DB - MTMT ER - TY - JOUR AU - Moeslund, J.E. AU - Zlinszky, András AU - Ejrnæs, R. AU - Brunbjerg, A.K. AU - Bøcher, P.K. AU - Svenning, J.-C. AU - Normand, S. TI - Light detection and ranging explains diversity of plants, fungi, lichens, and bryophytes across multiple habitats and large geographic extent JF - ECOLOGICAL APPLICATIONS J2 - ECOL APPL VL - 29 PY - 2019 IS - 5 SN - 1051-0761 DO - 10.1002/eap.1907 UR - https://m2.mtmt.hu/api/publication/30819745 ID - 30819745 LA - English DB - MTMT ER - TY - CHAP AU - Rounsevell, M AU - Fischer, M AU - Boeraeve, F AU - Jacobs, S AU - Liekens, I AU - Marques, A AU - Molnár, Zsolt AU - Osuchova, J AU - Shkaruba, A AU - Whittingham, M AU - Zlinszky, András ED - Rounsevell, M ED - Fischer, M ED - Torre-Marin, Rando A ED - Mader, A TI - Setting the scene. Chapter 1 TS - Chapter 1 T2 - The IPBES regional assessment report on biodiversity and ecosystem services for Europe and Central Asia PB - Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services (IPBES) CY - Bonn SN - 9783947851089 PY - 2018 SP - 1 EP - 54 PG - 54 UR - https://m2.mtmt.hu/api/publication/30346256 ID - 30346256 LA - English DB - MTMT ER -