TY - JOUR AU - Bakacsy, László AU - Tobak, Zalán AU - Van Leeuwen, Boudewijn AU - Szilassi, Péter AU - Biró, Csaba AU - Szatmári, József TI - Drone-Based Identification and Monitoring of Two Invasive Alien Plant Species in Open Sand Grasslands by Six RGB Vegetation Indices JF - DRONES J2 - DRONES VL - 7 PY - 2023 IS - 3 PG - 23 SN - 2504-446X DO - 10.3390/drones7030207 UR - https://m2.mtmt.hu/api/publication/33707374 ID - 33707374 AB - Today, invasive alien species cause serious trouble for biodiversity and ecosystem services, which are essential for human survival. In order to effectively manage invasive species, it is important to know their current distribution and the dynamics of their spread. Unmanned aerial vehicle (UAV) monitoring is one of the best tools for gathering this information from large areas. Vegetation indices for multispectral camera images are often used for this, but RGB colour-based vegetation indices can provide a simpler and less expensive solution. The goal was to examine whether six RGB indices are suitable for identifying invasive plant species in the QGIS environment on UAV images. To examine this, we determined the shoot area and number of common milkweed (Asclepias syriaca) and the inflorescence area and number of blanket flowers (Gaillardia pulchella) as two typical invasive species in open sandy grasslands. According to the results, the cover area of common milkweed was best identified with the TGI and SSI indices. The producers’ accuracy was 76.38% (TGI) and 67.02% (SSI), while the user’s accuracy was 75.42% (TGI) and 75.12% (SSI), respectively. For the cover area of blanket flower, the IF index proved to be the most suitable index. In spite of this, it gave a low producer’s accuracy of 43.74% and user’s accuracy of 51.4%. The used methods were not suitable for the determination of milkweed shoot and the blanket flower inflorescence number, due to significant overestimation. With the methods presented here, the data of large populations of invasive species can be processed in a simple, fast, and cost-effective manner, which can ensure the precise planning of treatments for nature conservation practitioners. LA - English DB - MTMT ER - TY - JOUR AU - Bakacsy, László AU - Szatmári, József AU - Biró, Csaba AU - Tobak, Zalán AU - Van Leeuwen, Boudewijn AU - Szilassi, Péter TI - Selyemkóró (Asclepias syriaca L.) UAV felvételekkel történő azonosítása és monitorozásának lehetőségei JF - TÁJÖKOLÓGIAI LAPOK / JOURNAL OF LANDSCAPE ECOLOGY J2 - TÁJÖKOLÓGIAI LAPOK / J LANDSCAPE ECOL VL - 21 PY - 2023 IS - 2 SP - 6 EP - 28 PG - 23 SN - 1589-4673 DO - 10.56617/tl.4948 UR - https://m2.mtmt.hu/api/publication/34689718 ID - 34689718 AB - Az inváziós fajok komoly és gyakran visszafordíthatatlan károkat okoznak a biodiverzitásban és az ökoszisztéma szolgáltatásokban, amelyek alapvető fontosággal bírnak az ember fennmaradása szempontjából, emellett pollenjeik miatt népegészségügyi szempontból is fontos problémát jelenthetnek. Mind az ellenük való védekezés, mind az általuk okozott gazdasági és természetvédelmi károk világszerte óriási költségeket emésztenek fel. Hatékony kezelésükhöz ismernünk kell az inváziós fajok jelenlegi elterjedését, terjedésük dinamikáját, ökoszisztémákra, élőhelyekre és a gazdaságra gyakorolt pontos hatásukat. Napjainkban ezeknek az információknak nagy területekről való begyűjtése leghatékonyabban drónokkal (UAV – unmanned aerial vehicle) történő monitorozással lehetséges. A természetközeli gyepek jelentős biológiai sokféleséggel rendelkeznek és fontos ökoszisztéma szolgáltatásokat nyújtanak, azonban ezek az élőhelyek is ki vannak téve az inváziós fajok károkozásának. Magyarország Pannon homoki gyepjeit számos inváziós faj terjedése fenyegeti. Ezek közül a közönséges selyemkóró (Asclepias syriaca L.) térképezésével és monitorozásával foglalkoztunk, mivel az egyik leggyakoribb és legveszélyesebb inváziósfaj a Dél-Alföldi régióban. Mivel az inváziós növényfajok természetvédelmi kezelése a mezőgazdasági gyomszabályozás szemléletén és módszerein alapszik, így jelen tanulmány a mezőgazdaságban használt monitorozási eljárások átültetésének egy lehetséges módszertani fejlesztéseként értékelhető. Célunk volt megvizsgálni, hogy a precíziós mezőgazdaságban használt vegetációs indexek alkalmasak-e a közönséges selyemkóró egyed szintű azonosítására, állománynagyságának a meghatározására. Kutatásaink során UAV-val készült légifelvételekből (RGB és CIR) képzett vegetációs indexek (TGI, VARI, NDVI és SAVI) vizsgálatát végeztük el. A közönséges selyemkóró drónnal végzett állomány felmérését, térképezését a Kiskunsági Nemzeti Park Kolon-tó törzsterületéhez kapcsolódó két regenerálódó parlagon végeztük el, 2020 júliusában. Eredményeink szerint a selyemkóró hajtásainak és egyed szintű azonosításának a legalkalmasabb indexe a TGI volt. Az NDVI és SAVI indexek a selyemkóró területi lefedettségének (borításának) és tőszámának meghatározására kevésbé voltak alkalmasak mint a TGI, ugyanakkor alkalmasak lehetnek természetvédelmi kezelések hatékonyságának meghatározására. Eredményeink egyszerű, gyors, költséghatékony és minimális zavarást okozó módszert biztosítanak az inváziós faj nagykiterjedésű állományainak térképezéséhez, időben többször megismételt monitorozásához. Ezáltal a természetvédelem számára olyan információkat nyújthat, amelyek egyrészt az invázió elleni védekezés pontos megtervezését, másrészt a kezelések hatékonyságának ellenőrzését és nyomon követését is lehetővé teszi a jövőben. LA - Hungarian DB - MTMT ER - TY - JOUR AU - Balogh, Márton Bence AU - Kertész, Miklós AU - Török, Katalin AU - Visztra, Georgina Veronika AU - Szilassi, Péter TI - Changes in the Occurrence of Five Invasive Plant Species in Different Ecosystem Types between 2009–2018 in Hungary JF - LAND (BASEL) J2 - LAND-BASEL VL - 12 PY - 2023 IS - 9 PG - 21 SN - 2073-445X DO - 10.3390/land12091784 UR - https://m2.mtmt.hu/api/publication/34141787 ID - 34141787 N1 - Department of Geoinformatics, Physical and Environmental Geography, University of Szeged, Szeged, H-6720, Hungary Centre for Ecological Research, Institute of Ecology and Botany, Vácrátót, H-2163, Hungary National Laboratory for Health Security, Centre for Ecological Research, 29 Karolina Street, Budapest, H-1113, Hungary Export Date: 29 February 2024 Correspondence Address: Szilassi, P.; Department of Geoinformatics, Hungary; email: toto@geo.u-szeged.hu AB - Modelling and analysis of spatiotemporal characteristics of plant invasion can help in mapping and predicting the spread of invasive plants. The aim of our research was to investigate the spatiotemporal variability of five common invasive plant species (Ailanthus altissima, Asclepias syriaca, Elaeagnus angustifolia, Robinia pseudoacacia, and Solidago spp.) within different land cover (ecosystem)-type categories. The basis of the study was the National Geospatial Database of Invasive Plants (NGDIP) of Hungary, and the ecosystem types of the Ecosystem Map of Hungary (EMH). The GIS-based analysis of the detailed occurrence database of the invasive species (NGDIP) and the thematic land-cover (ecosystem)-type maps (EMH) examined allow us to answer the question of in which habitat types the occurrence and distribution of the given invasive plant has stagnated, decreased, or increased between 2006 and 2018. We developed a methodology with relevant data sources and demonstrated invasion variation, which can be used for future management planning and invasive biology research. Our results show that Asclepias syriaca and Robinia pseudoacacia are increasingly threatening grasslands and are also spreading more intensively in complex cultivated areas. The occurrences of Ailanthus altissima and Asclepias syriaca are declining in built-up areas due to the increasingly extreme environmental conditions of cities or modified urban planning. The spread of Solidago spp. is increasingly common in wetlands, threatening the biodiversity of floodplain (riparian) vegetation. LA - English DB - MTMT ER - TY - JOUR AU - Delheimer, Matthew S. AU - Moriarty, Katie M. AU - Munro, Holly L. AU - Early, Desiree A. AU - Hamm, Keith A. AU - Green, Rebecca E. TI - Structural complexity characterizes fine-scale forest conditions used by Pacific martens JF - JOURNAL OF WILDLIFE MANAGEMENT J2 - J WILDLIFE MANAGE VL - 87 PY - 2023 IS - 4 PG - 24 SN - 0022-541X DO - 10.1002/jwmg.22388 UR - https://m2.mtmt.hu/api/publication/33942735 ID - 33942735 AB - When wildlife species exhibit unexpected associations with vegetation, replication of studies in different locales can illuminate whether patterns of use are consistent or divergent. Our objective was to describe fine-scale forest conditions used by Pacific martens (Martes caurina) at 2 study sites in northern California that differed in forest composition and past timber harvest. We identified denning and resting locations of radio-marked martens and sampled structure- and plot-level vegetation using standardized forest inventory methods between 2009-2021. Woody structures used by martens were significantly larger than randomly available structures across types (e.g., live tree, snag, log) and at both study sites. Den and rest structures occurred in areas characterized by higher numbers of logs and snags, lower numbers of live trees and stumps, larger diameter live trees and logs, and greater variation in live tree and log diameter. Features of denning and resting locations were largely consistent across study sites and were generally representative of fine-scale forest heterogeneity and increased structural complexity, conditions that martens have been widely associated with at broader spatial scales (i.e., home range or landscape). The spatial occurrence of denning and resting locations may indicate that fine-scale structural complexity facilitates marten foraging while reducing predation risk. Our work offers timely and directed information that can guide forest management in the context of increased landscape change. LA - English DB - MTMT ER - TY - THES AU - Flynn, Colter A TI - Investigation of Common Milkweed as a Novel Food Crop for New England PB - University of New Hampshire PY - 2023 SN - 9798380364843 UR - https://m2.mtmt.hu/api/publication/34163105 ID - 34163105 LA - English DB - MTMT ER - TY - JOUR AU - Gallé, Róbert AU - Tölgyesi, Csaba AU - Szabó, Ágota Réka AU - Korányi, Dávid AU - Bátori, Zoltán AU - Hábenczyus, Alida Anna AU - Török, Edina AU - Révész, Kitti AU - Torma, Attila AU - Gallé-Szpisjak, Nikolett AU - Lakatos, Tamás AU - Batáry, Péter TI - Plant invasion and fragmentation indirectly and contrastingly affect native plants and grassland arthropods JF - SCIENCE OF THE TOTAL ENVIRONMENT J2 - SCI TOTAL ENVIRON VL - 903 PY - 2023 PG - 11 SN - 0048-9697 DO - 10.1016/j.scitotenv.2023.166199 UR - https://m2.mtmt.hu/api/publication/34092814 ID - 34092814 N1 - Összes idézések száma a WoS-ban: 0 LA - English DB - MTMT ER - TY - JOUR AU - Popov, Milena AU - Konstantinović, Bojan AU - Samardžić, Nataša AU - Stojanović, Tijana TI - Asclepias syriaca L.: Common milkweed JF - ACTA HERBOLOGICA J2 - ACTA HERBOLOGICA VL - 32 PY - 2023 IS - 1 SP - 5 EP - 19 PG - 15 SN - 0354-4311 DO - 10.5937/actaherb2301005P UR - https://m2.mtmt.hu/api/publication/34108998 ID - 34108998 AB - Asclepias syriaca L. (ASCSY, fam. Apocynaceae) is a weed originating from the northern parts of the central, northeastern and southeastern America, as well as the vicinal areas of Canada. The common milkweed was introduced to Europe at the beginning of the 19th century as the honey, ornamental and fiber/silk plant. Today, it occurs in many countries of the western and Central Europe (France, Austria, Czech Republic, Belgium, Germany, Lithuania, Slovakia, Hungary, Poland, Italy, Slovenia, Croatia, Serbia, Bosnia, Romania, Bulgaria and Russia). The first cases of A. syriaca in Serbia were noted in the 1920s. The common milkweed is the most common on the non-agricultural areas, from where it spreads to the surrounding cultivated areas. This perennial species can grow up to 1.2 m and it has plenty of the underground adventitious buds from which it reproduces vegetatively. The spherical umbels are in the axis of the upper leaves, the flowers of which have a pleasant smell and purple to deep purplish pink color. It is a diploid (2n = 22), self-pollinating plant, with the hybridization between the species of the genus Asclepias being very rare. One plant can produce 1-6 fruits, with every fruit containing 150-425 seeds. This species prefers fertile, well-drained soils, but also thrives in very dry soils. The optimal development is achieved in moderately light and moderately warm, neutral to slightly alkaline habitats, tolerating the soil pH values of 4-5. The seeds germinate at a temperature of 20-30ºC. Late frosts of -1 to -2ºC destroy young seedlings, while adult plants can survive that temperature. A. syriaca has allelopathic properties and a negative impact towards a number of plants, both with crops (maize, soybean, sunflower and cultivated Sorghum) and weeds (Amaranthus retroflexus, Chenopodium album, Lepidium sativum and Ambrosia artemisiifolia). It can affect the seed germination and the development of the crop seedlings, leading to the significant yield reduction when its occurrence is massive. The control measures include: crop rotation, cultivation of competitive crops, mechanical removal of plants along with the roots, while chemical control measures are recommended as a preventive method, using glyphosate and triclopyr on non-agricultural areas to prevent the weeds from entering the fields. LA - English DB - MTMT ER - TY - JOUR AU - Visztra, Georgina Veronika AU - Frei, Kata AU - Hábenczyus, Alida Anna AU - Soóky, Anna AU - Bátori, Zoltán AU - Laborczi, Annamária AU - Csikós, Nándor AU - Szatmári, Gábor AU - Szilassi, Péter TI - Applicability of Point- and Polygon-Based Vegetation Monitoring Data to Identify Soil, Hydrological and Climatic Driving Forces of Biological Invasions—A Case Study of Ailanthus altissima, Elaeagnus angustifolia and Robinia pseudoacacia JF - PLANTS-BASEL J2 - PLANTS-BASEL VL - 12 PY - 2023 IS - 4 PG - 14 SN - 2223-7747 DO - 10.3390/plants12040855 UR - https://m2.mtmt.hu/api/publication/33639885 ID - 33639885 N1 - Department of Physical Geography and Geoinformatics, University of Szeged, Egyetem utca 2, Szeged, H-6722, Hungary Department of Ecology, University of Szeged, Közép fasor 52, Szeged, H-6726, Hungary Department of Soil Mapping and Environmental Informatics, Institute for Soil Sciences, Centre for Agricultural Research, Budapest, H-1022, Hungary Export Date: 29 February 2024 Correspondence Address: Szilassi, P.; Department of Physical Geography and Geoinformatics, Egyetem utca 2, Hungary; email: toto@geo.u-szeged.hu AB - Invasive tree species are a significant threat to native flora. They modify the environment with their allelopathic substances and inhibit the growth of native species by shading, thus reducing diversity. The most effective way to control invasive plants is to prevent their spread which requires identifying the environmental parameters promoting it. Since there are several types of invasive plant databases available, determining which database type is the most relevant for investigating the occurrence of alien plants is of great importance. In this study, we compared the efficiency and reliability of point-based (EUROSTAT Land Use and Coverage Area Frame Survey (LUCAS)) and polygon-based (National Forestry Database (NFD)) databases using geostatistical methods in ArcGIS software. We also investigated the occurrence of three invasive tree species (Ailanthus altissima, Elaeagnus angustifolia, and Robinia pseudoacacia) and their relationships with soil, hydrological, and climatic parameters such as soil organic matter content, pH, calcium carbonate content, rooting depth, water-holding capacity, distance from the nearest surface water, groundwater depth, mean annual temperature, and mean annual precipitation with generalized linear models in R-studio software. Our results show that the invasion levels of the tree species under study are generally over-represented in the LUCAS point-based vegetation maps, and the point-based database requires a dataset with a larger number of samples to be reliable. Regarding the polygon-based database, we found that the occurrence of the invasive species is generally related to the investigated soil and hydrological and climatic factors. LA - English DB - MTMT ER - TY - JOUR AU - Gazoulis, Ioannis AU - Antonopoulos, Nikolaos AU - Kanatas, Panagiotis AU - Karavas, Nikolas AU - Bertoncelj, Irena AU - Travlos, Ilias TI - Invasive Alien Plant Species—Raising Awareness of a Threat to Biodiversity and Ecological Connectivity (EC) in the Adriatic-Ionian Region JF - DIVERSITY (BASEL) J2 - DIVERSITY-BASEL VL - 14 PY - 2022 IS - 5 PG - 27 SN - 1424-2818 DO - 10.3390/d14050387 UR - https://m2.mtmt.hu/api/publication/32822708 ID - 32822708 N1 - Laboratory of Agronomy, Agricultural University of Athens, 75, Iera Odos Str., Athens, 11855, Greece Department of Crop Science, University of Patras, P.D. 407/80, Mesolonghi, 30200, Greece Department of Botany, Faculty of Biology, University of Athens, Athens, 15784, Greece Department of Agricultural Ecology and Natural Resources, Agricultural Institute of Slovenia, Hacquetova ulica 17, Ljubljana, SI-1000, Slovenia Export Date: 12 September 2022 Correspondence Address: Gazoulis, I.; Laboratory of Agronomy, 75, Iera Odos Str., Greece; email: giangazoulis@gmail.com LA - English DB - MTMT ER - TY - JOUR AU - Spaeth, Kenneth E. AU - Barbour, Philip J. AU - Moranz, Ray AU - Dinsmore, Stephen J. AU - Williams, C. Jason TI - Asclepias dynamics on US rangelands: implications for conservation of monarch butterflies and other insects JF - ECOSPHERE J2 - ECOSPHERE VL - 13 PY - 2022 IS - 1 PG - 27 SN - 2150-8925 DO - 10.1002/ecs2.3816 UR - https://m2.mtmt.hu/api/publication/32607824 ID - 32607824 N1 - USDA NRCS, Central National Technology Center, Fort Worth, TX 76115, United States The Xerces Society for Invertebrate Conservation/USDA NRCS, Stillwater, OK 74074, United States Department of Natural Resource Ecology and Management, Iowa State University, Ames, IA 50014, United States USDA-ARS, Southwest Watershed Research Center, Tucson, AZ 85719, United States Export Date: 14 February 2022 Correspondence Address: Spaeth, K.E.; USDA NRCS, United States; email: ken.spaeth@usda.gov LA - English DB - MTMT ER - TY - JOUR AU - Szilassi, Péter AU - Visztra, Georgina Veronika AU - Soóky, Anna AU - Bátori, Zoltán AU - Hábenczyus, Alida Anna AU - Frei, Kata AU - Tölgyesi, Csaba AU - Balogh, Márton Bence TI - Towards an Understanding of the Geographical Background of Plants Invasion as a Natural Hazard: a Case Study in Hungary JF - GEOGRAPHICA PANNONICA J2 - GEOGRAPHICA PANNONICA VL - 26 PY - 2022 IS - 3 SP - 176 EP - 183 PG - 8 SN - 0354-8724 DO - 10.5937/gp26-37866 UR - https://m2.mtmt.hu/api/publication/33154273 ID - 33154273 LA - English DB - MTMT ER - TY - JOUR AU - Follak, Swen AU - Bakacsy, László AU - Essl, Franz AU - Hochfellner, Lisa AU - Lapin, Katharina AU - Schwarz, Michael AU - Tokarska-Guzik, Barbara AU - Wołkowycki, Dan TI - Monograph of invasive plants in Europe N°6. Asclepias syriaca L. TS - Asclepias syriaca L. JF - BOTANY LETTERS J2 - BOT LETT VL - 168 PY - 2021 IS - 3 SP - 422 EP - 451 PG - 30 SN - 2381-8107 DO - 10.1080/23818107.2021.1886984 UR - https://m2.mtmt.hu/api/publication/31910639 ID - 31910639 N1 - Export Date: 30 March 2021 Correspondence Address: Follak, S.; Institute for Sustainable Plant Production, Austria; email: swen.follak@ages.at Export Date: 19 April 2021 Correspondence Address: Follak, S.; Institute for Sustainable Plant Production, Austria; email: swen.follak@ages.at Export Date: 26 April 2021 Correspondence Address: Follak, S.; Institute for Sustainable Plant Production, Austria; email: swen.follak@ages.at LA - English DB - MTMT ER - TY - JOUR AU - Krüzselyi, Dániel AU - Ott, Péter AU - Bakonyi, József AU - Móricz, Ágnes TI - Idegen invazív gyomnövények felhasználási lehetőségei a növényvédelemben JF - NÖVÉNYVÉDELEM J2 - NÖVÉNYVÉDELEM VL - 57 PY - 2021 IS - 12 SP - 538 EP - 547 PG - 10 SN - 0133-0829 UR - https://m2.mtmt.hu/api/publication/32576418 ID - 32576418 LA - Hungarian DB - MTMT ER - TY - JOUR AU - Papp, Levente AU - Van Leeuwen, Boudewijn AU - Szilassi, Péter AU - Tobak, Zalán AU - Szatmári, József AU - Árvai, Mátyás AU - Mészáros, János AU - Pásztor, László TI - Monitoring Invasive Plant Species Using Hyperspectral Remote Sensing Data JF - LAND (BASEL) J2 - LAND-BASEL VL - 10 PY - 2021 IS - 1 PG - 18 SN - 2073-445X DO - 10.3390/land10010029 UR - https://m2.mtmt.hu/api/publication/31793133 ID - 31793133 N1 - Department of Physical Geography and Geoinformatics, University of Szeged, Egyetem utca 2-6, Szeged, H-6722, Hungary Department of Soil Mapping and Environmental Informatics, Institute for Soil Science and Agricultural Chemistry, Centre for Agricultural Research, Hungarian Academy of Sciences, Herman Ottó út 15, Budapest, H-1022, Hungary Export Date: 12 March 2021 Correspondence Address: Szilassi, P.; Department of Physical Geography and Geoinformatics, Egyetem utca 2-6, Hungary; email: toto@geo.u-szeged.hu LA - English DB - MTMT ER - TY - JOUR AU - Szilassi, Péter AU - Anna, Soóky AU - Bátori, Zoltán AU - Hábenczyus, Alida Anna AU - Frei, Kata AU - Tölgyesi, Csaba AU - Van Leeuwen, Boudewijn AU - Tobak, Zalán AU - Csikós, Nándor TI - Natura 2000 Areas, Road, Railway, Water, and Ecological Networks May Provide Pathways for Biological Invasion: A Country Scale Analysis JF - PLANTS-BASEL J2 - PLANTS-BASEL VL - 10 PY - 2021 IS - 12 PG - 15 SN - 2223-7747 DO - 10.3390/plants10122670 UR - https://m2.mtmt.hu/api/publication/32541757 ID - 32541757 N1 - Department of Geoinformatics, Physical and Environmental Geography, University of Szeged, Egyetem utca 2, Szeged, H-6722, Hungary Department of Ecology, University of Szeged, Közép fasor 52, Szeged, H-6726, Hungary Cited By :3 Export Date: 10 October 2022 Correspondence Address: Szilassi, P.; Department of Geoinformatics, Egyetem utca 2, Hungary; email: toto@geo.u-szeged.hu LA - English DB - MTMT ER - TY - JOUR AU - Popov, M. AU - Prvulović, D. AU - Šućur, J. AU - Vidović, S. AU - Samardžić, N. AU - Stojanović, T. AU - Konstantinović, B TI - CHEMICAL CHARACTERIZATION OF COMMON MILKWEED (ASCLEPIAS SYRIACA L.) ROOT EXTRACTS AND THEIR INFLUENCE ON MAIZE (Zea mays L.), SOYBEAN (Glycine max (L.) Merr.) AND SUNFLOWER (Helianthus annuus L.) SEED GERMINATION AND SEEDLING GROWTH JF - APPLIED ECOLOGY AND ENVIRONMENTAL RESEARCH J2 - APPL ECOL ENV RES VL - 19 PY - 2021 IS - 6 SP - 4219 EP - 4230 PG - 12 SN - 1589-1623 DO - 10.15666/aeer/1906_42194230 UR - https://m2.mtmt.hu/api/publication/32261732 ID - 32261732 N1 - Department of Plant and Environmental Protection, Faculty of Agriculture, University of Novi Sad, Trg Dositeja Obradovića 8, Novi Sad, 21102, Serbia Department of Field and Vegetable Crops, Faculty of Agriculture, University of Novi Sad, Trg Dositeja Obradovića 8, Novi Sad, 21102, Serbia Department of Biotechnology and Pharmaceutical Engineering, Faculty of Technology, University of Novi Sad, Bulevar Cara Lazara 1, Novi Sad, 21102, Serbia Export Date: 6 January 2022 Correspondence Address: Konstantinović, B.; Department of Plant and Environmental Protection, Trg Dositeja Obradovića 8, Serbia; email: bojan.konstantinovic@polj.edu.rs LA - English DB - MTMT ER - TY - JOUR AU - Shuvar, Ivan AU - Korpita, Hanna AU - Balkovskyi, Volodymyr AU - Shuvar, Antin AU - Kropyvnytskyi, Ruslan TI - Asclepias syriaca I. is a threat to biodiversity and agriculture of Ukraine JF - BIO WEB OF CONFERENCES J2 - BIO WEB CONF VL - 36 PY - 2021 PG - 6 SN - 2273-1709 DO - 10.1051/bioconf/20213607010 UR - https://m2.mtmt.hu/api/publication/32286368 ID - 32286368 LA - English DB - MTMT ER - TY - JOUR AU - Bakacsy, László AU - Bagi, István TI - Survival and regeneration ability of clonal common milkweed (Asclepias syriaca L.) after a single herbicide treatment in natural open sand grasslands JF - SCIENTIFIC REPORTS J2 - SCI REP VL - 10 PY - 2020 IS - 1 PG - 10 SN - 2045-2322 DO - 10.1038/s41598-020-71202-8 UR - https://m2.mtmt.hu/api/publication/31631285 ID - 31631285 LA - English DB - MTMT ER - TY - JOUR AU - Szatmári, Gábor AU - Bakacsi, Zsófia AU - Laborczi, Annamária AU - Petrik, Ottó AU - Pataki, Róbert AU - Tóth, Tibor AU - Pásztor, László TI - Elaborating Hungarian Segment of the Global Map of Salt-Affected Soils (GSSmap): National Contribution to an International Initiative JF - REMOTE SENSING J2 - REMOTE SENS-BASEL VL - 12 PY - 2020 IS - 24 PG - 19 SN - 2072-4292 DO - 10.3390/rs12244073 UR - https://m2.mtmt.hu/api/publication/31775853 ID - 31775853 N1 - Institute for Soil Sciences and Agricultural Chemistry, Centre for Agricultural Research, Budapest, H-1022, Hungary Department of Soil Science and Environmental Informatics, Georgikon Faculty, Szent István University, Keszthely, H-8360, Hungary Lechner Knowledge Center, Budapest, H-1149, Hungary Export Date: 9 February 2021 Correspondence Address: Laborczi, A.; Institute for Soil Sciences and Agricultural Chemistry, Hungary; email: laborczi@rissac.hu Institute for Soil Sciences and Agricultural Chemistry, Centre for Agricultural Research, Budapest, H-1022, Hungary Department of Soil Science and Environmental Informatics, Georgikon Faculty, Szent István University, Keszthely, H-8360, Hungary Lechner Knowledge Center, Budapest, H-1149, Hungary Export Date: 22 February 2021 Correspondence Address: Laborczi, A.; Institute for Soil Sciences and Agricultural Chemistry, Hungary; email: laborczi@rissac.hu Institute for Soil Sciences and Agricultural Chemistry, Centre for Agricultural Research, Budapest, H-1022, Hungary Department of Soil Science and Environmental Informatics, Georgikon Faculty, Szent István University, Keszthely, H-8360, Hungary Lechner Knowledge Center, Budapest, H-1149, Hungary Export Date: 8 March 2021 Correspondence Address: Laborczi, A.; Institute for Soil Sciences and Agricultural Chemistry, Hungary; email: laborczi@rissac.hu Institute for Soil Sciences and Agricultural Chemistry, Centre for Agricultural Research, Budapest, H-1022, Hungary Department of Soil Science and Environmental Informatics, Georgikon Faculty, Szent István University, Keszthely, H-8360, Hungary Lechner Knowledge Center, Budapest, H-1149, Hungary Export Date: 9 March 2021 Correspondence Address: Laborczi, A.; Institute for Soil Sciences and Agricultural Chemistry, Hungary; email: laborczi@rissac.hu Institute for Soil Sciences and Agricultural Chemistry, Centre for Agricultural Research, Budapest, H-1022, Hungary Department of Soil Science and Environmental Informatics, Georgikon Faculty, Szent István University, Keszthely, H-8360, Hungary Lechner Knowledge Center, Budapest, H-1149, Hungary Export Date: 10 March 2021 Correspondence Address: Laborczi, A.; Institute for Soil Sciences and Agricultural Chemistry, Hungary; email: laborczi@rissac.hu Institute for Soil Sciences and Agricultural Chemistry, Centre for Agricultural Research, Budapest, H-1022, Hungary Department of Soil Science and Environmental Informatics, Georgikon Faculty, Szent István University, Keszthely, H-8360, Hungary Lechner Knowledge Center, Budapest, H-1149, Hungary Export Date: 12 March 2021 Correspondence Address: Laborczi, A.; Institute for Soil Sciences and Agricultural Chemistry, Hungary; email: laborczi@rissac.hu Institute for Soil Sciences and Agricultural Chemistry, Centre for Agricultural Research, Budapest, H-1022, Hungary Department of Soil Science and Environmental Informatics, Georgikon Faculty, Szent István University, Keszthely, H-8360, Hungary Lechner Knowledge Center, Budapest, H-1149, Hungary Cited By :1 Export Date: 28 April 2021 Correspondence Address: Laborczi, A.; Institute for Soil Sciences and Agricultural Chemistry, Hungary; email: laborczi@rissac.hu Institute for Soil Sciences and Agricultural Chemistry, Centre for Agricultural Research, Budapest, H-1022, Hungary Department of Soil Science and Environmental Informatics, Georgikon Faculty, Szent István University, Keszthely, H-8360, Hungary Lechner Knowledge Center, Budapest, H-1149, Hungary Cited By :1 Export Date: 14 May 2021 Correspondence Address: Laborczi, A.; Institute for Soil Sciences and Agricultural Chemistry, Hungary; email: laborczi@rissac.hu Institute for Soil Sciences and Agricultural Chemistry, Centre for Agricultural Research, Budapest, H-1022, Hungary Department of Soil Science and Environmental Informatics, Georgikon Faculty, Szent István University, Keszthely, H-8360, Hungary Lechner Knowledge Center, Budapest, H-1149, Hungary Cited By :1 Export Date: 17 May 2021 Correspondence Address: Laborczi, A.; Institute for Soil Sciences and Agricultural Chemistry, Hungary; email: laborczi@rissac.hu Institute for Soil Sciences and Agricultural Chemistry, Centre for Agricultural Research, Budapest, H-1022, Hungary Department of Soil Science and Environmental Informatics, Georgikon Faculty, Szent István University, Keszthely, H-8360, Hungary Lechner Knowledge Center, Budapest, H-1149, Hungary Cited By :1 Export Date: 19 May 2021 Correspondence Address: Laborczi, A.; Institute for Soil Sciences and Agricultural Chemistry, Hungary; email: laborczi@rissac.hu Institute for Soil Sciences and Agricultural Chemistry, Centre for Agricultural Research, Budapest, H-1022, Hungary Department of Soil Science and Environmental Informatics, Georgikon Faculty, Szent István University, Keszthely, H-8360, Hungary Lechner Knowledge Center, Budapest, H-1149, Hungary Cited By :1 Export Date: 31 May 2021 Correspondence Address: Laborczi, A.; Institute for Soil Sciences and Agricultural Chemistry, Hungary; email: laborczi@rissac.hu Institute for Soil Sciences and Agricultural Chemistry, Centre for Agricultural Research, Budapest, H-1022, Hungary Department of Soil Science and Environmental Informatics, Georgikon Faculty, Szent István University, Keszthely, H-8360, Hungary Lechner Knowledge Center, Budapest, H-1149, Hungary Cited By :1 Export Date: 19 July 2021 Correspondence Address: Laborczi, A.; Institute for Soil Sciences and Agricultural Chemistry, Hungary; email: laborczi@rissac.hu Institute for Soil Sciences and Agricultural Chemistry, Centre for Agricultural Research, Budapest, H-1022, Hungary Department of Soil Science and Environmental Informatics, Georgikon Faculty, Szent István University, Keszthely, H-8360, Hungary Lechner Knowledge Center, Budapest, H-1149, Hungary Cited By :1 Export Date: 11 August 2021 Correspondence Address: Laborczi, A.; Institute for Soil Sciences and Agricultural Chemistry, Hungary; email: laborczi@rissac.hu LA - English DB - MTMT ER - TY - CHAP AU - Szilassi, Péter AU - Szatmári, Gábor AU - Pásztor, László AU - Árvai, Mátyás AU - Szatmári, József AU - Szitár, Katalin AU - Papp, Levente ED - Farsang, Andrea ED - Ladányi, Zsuzsanna ED - Mucsi, László TI - Egy özönnövény az alföldi tájban. a selyemkóró (Asclepias syriaca) terjedését befolyásoló földrajzi tényezők vizsgálata TS - a selyemkóró (Asclepias syriaca) terjedését befolyásoló földrajzi tényezők vizsgálata T2 - Klímaváltozás okozta kihívások - Globálistól lokálisig PB - Szegedi Tudományegyetem Természettudományi és Informatikai Kar Földrajzi és Földtudományi Intézet CY - Szeged SN - 9789633067345 T3 - GeoLitera, ISSN 2060-7067 PY - 2020 SP - 99 EP - 107 PG - 9 UR - https://m2.mtmt.hu/api/publication/31377146 ID - 31377146 LA - Hungarian DB - MTMT ER - TY - JOUR AU - Veronica, Sărăţeanu AU - Suciu, Codruța Teodora AU - Otilia, Cotuna AU - Paraschivu, Mirela TI - Adventive Species Asclepias Syriaca L. in Disturbed Grassland from Western Romania JF - ROMANIAN JOURNAL OF GRASSLAND AND FORAGE CROPS J2 - ROMANIAN JOURNAL OF GRASSLAND AND FORAGE CROPS VL - 2020 PY - 2020 SP - 1 EP - 13 PG - 13 SN - 2068-3065 UR - https://m2.mtmt.hu/api/publication/31906768 ID - 31906768 LA - English DB - MTMT ER -