@article{MTMT:34519844, title = {Environmental filtering is the primary driver of community assembly in forest–grassland mosaics: A case study based on CSR strategies}, url = {https://m2.mtmt.hu/api/publication/34519844}, author = {Erdős, László and Ho, Vu Khanh and Bede-Fazekas, Ákos and Kröel-Dulay, György and Tölgyesi, Csaba and Bátori, Zoltán and Török, Péter}, doi = {10.1111/jvs.13228}, journal-iso = {J VEG SCI}, journal = {JOURNAL OF VEGETATION SCIENCE}, volume = {35}, unique-id = {34519844}, issn = {1100-9233}, abstract = {Aims: Ecological strategies can provide information about plant community assembly and its main drivers. Our aim was to reveal the dominant strategies of the vegetationtypes of forest–grassland mosaics and to deduce the assembly processes responsible for their species composition.Location: Hungary.Methods: We investigated eight vegetation types of Hungarian forest–steppes. The trade-off between three key traits related to leaf size and economics was used to calculate Grime's competitive–stress tolerance–ruderal (CSR) value for each species, based on which the mean value for each vegetation type was determined. Detrended correspondence analysis (DCA) ordination was used to reveal the compositional dif -ferences among the vegetation types under study. To analyze how ecological strate-gies correlate with the compositional gradient, we used linear regression between plot ordination scores (the first DCA scores) and each strategy (C, S, and R). Linear mixed-effect models were used to evaluate the differences between the vegetation types regarding each strategy (C, S, and R).Results: Each vegetation type was dominated by the stress-tolerator strategy, indicat-ing the prominent role of environmental filtering in community assembly. However, ecological strategies differed significantly among the communities. The importance of}, year = {2024}, eissn = {1654-1103}, orcid-numbers = {Erdős, László/0000-0002-6750-0961; Ho, Vu Khanh/0000-0002-9117-7789; Bede-Fazekas, Ákos/0000-0002-2905-338X; Tölgyesi, Csaba/0000-0002-0770-2107; Bátori, Zoltán/0000-0001-9915-5309} } @article{MTMT:34513775, title = {Correction to: A 4‑year study of bovine reproductive hormones that are induced by pharmaceuticals and appear as steroid estrogenic pollutants in the resulting slurry, using in vitro and instrumental analytical methods}, url = {https://m2.mtmt.hu/api/publication/34513775}, author = {Gubó, Eduard and Plutzer, J and Molnár, T and Pordán‑Háber, D and Szabó, Lili and Szalai, Zoltán and Gubó, R and Szakál, Pál and Szakál, Tamás and Környei, László and Bede-Fazekas, Ákos and Kalocsai, Renátó}, doi = {10.1007/s11356-024-31992-0}, journal-iso = {ENVIRON SCI POLLUT R}, journal = {ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH}, volume = {31}, unique-id = {34513775}, issn = {0944-1344}, year = {2024}, eissn = {1614-7499}, pages = {9868-9868}, orcid-numbers = {Szalai, Zoltán/0000-0001-5267-411X; Bede-Fazekas, Ákos/0000-0002-2905-338X} } @article{MTMT:34479638, title = {Drivers of species composition in arable-weed communities of the Austrian–Hungarian borderland region: What is the role of the country?}, url = {https://m2.mtmt.hu/api/publication/34479638}, author = {Pinke, Gyula and Vér, András and Réder, Krisztina and Koltai, Gábor and Schlögl, Gerhard and Bede-Fazekas, Ákos and Czúcz, Bálint and Botta-Dukát, Zoltán}, doi = {10.1111/avsc.12764}, journal-iso = {APP VEGE SCI}, journal = {APPLIED VEGETATION SCIENCE}, volume = {27}, unique-id = {34479638}, issn = {1402-2001}, abstract = {Abstract Questions Due to their high ecological and agronomical variability, borderland regions offer an excellent opportunity to study assembly patterns. In this study we compared the influence of various factors on summer annual weed communities consisting of both native and introduced species. Location The borderland region of Austria and Hungary. Methods We assessed the abundance of weed species in 300 fields of six summer annual crops, and collected information on 26 background variables for each plot. We applied redundancy analysis (RDA) to estimate multivariate species responses and variation partitioning to compare the relative importance of three groups of variables (environmental variables, management variables, and country as a singleton group), and we also checked for statistical association between country and the predictors of the other two groups. Results The full RDA model explained 22.02% of the variance in weed species composition. Variation partitioning showed that environment and management had similarly high (~8%) influence on weeds, while country had a modest yet substantial (~1%) effect, and there was relatively little overlap between the variance attributable to the three groups. Comparing the individual variables, country ranked third (after preceding crop, and actual crop). The effects of 15 further variables were also significant, including seven management, and seven environmental variables, as well as the location of the sampling plots within the fields. Comparisons between the countries showed that farming type, preceding crops, tillage system, tillage depth and field size were significantly different between the countries. Conclusions Country exhibited a small but significant influence on weed community composition, which could not be explained with easily accessible management and environmental variables. This suggests that the distinct historical agronomical background of the two countries, possibly involving some legacies of the former Iron Curtain period, still has an impact on the weed species composition of arable fields.}, keywords = {climate; AGRICULTURE; arable weeds; Weed vegetation; variance partitioning; annual crops; Weed survey; country effect; ecological legacy; Iron Curtain}, year = {2024}, eissn = {1654-109X}, orcid-numbers = {Pinke, Gyula/0000-0002-9956-1363; Bede-Fazekas, Ákos/0000-0002-2905-338X; Botta-Dukát, Zoltán/0000-0002-9544-3474} } @article{MTMT:34731774, title = {Confidence and consistency in discrimination: A new family of evaluation metrics for potential distribution models}, url = {https://m2.mtmt.hu/api/publication/34731774}, author = {Somodi, Imelda and Bede-Fazekas, Ákos and Botta-Dukát, Zoltán and Molnár, Zsolt}, doi = {10.1016/j.ecolmodel.2024.110667}, journal-iso = {ECOL MODEL}, journal = {ECOLOGICAL MODELLING}, volume = {491}, unique-id = {34731774}, issn = {0304-3800}, year = {2024}, eissn = {1872-7026}, orcid-numbers = {Bede-Fazekas, Ákos/0000-0002-2905-338X; Botta-Dukát, Zoltán/0000-0002-9544-3474} } @article{MTMT:34679307, title = {Modelling of potential vegetation identifies diverging expectable outcomes of river floodplain widening}, url = {https://m2.mtmt.hu/api/publication/34679307}, author = {Somodi, Imelda and Konrád, Krisztina Dóra and Vizi, Dávid Béla and Tallósi, Béla and Samu, Andrea and Kajner, Péter and Bede-Fazekas, Ákos}, doi = {10.1016/j.gecco.2024.e02859}, journal-iso = {GLOB ECOL CONSERV}, journal = {GLOBAL ECOLOGY AND CONSERVATION}, volume = {50}, unique-id = {34679307}, issn = {2351-9894}, abstract = {River re-naturalisations are at the forefront of conservation efforts. The hope is that these interventions will benefit both local ecosystems and facilitate flood mitigation. While hydrological modelling has been a standard procedure in assessing the outcomes of river re-naturalisations, vegetation modelling has not always been performed as part of these assessments. We hypothesised that the use of potential vegetation modelling, i.e. the modelling of self-sustainable vegetation that can survive after the intervention, can provide insight into vegetation outcome of river re-naturalisation and can thus support vegetation restoration and conservation planning. We investigated the utility of potential vegetation modelling under a specific, widespread element of river re-naturalisation: river floodplain widening at three study sites along the Tisza River in Hungary. We applied potential vegetation modelling, in addition to hydrological and groundwater modelling, to assess the expected vegetation outcome of the river floodplain widening. Flood frequency and duration were assessed by the HEC-RAS hydrological model. Based on the output this hydrological model provided, expected values of the water-related explanatory variables (including groundwater level) were calculated. Statistical relationships encompassed by the existing mulitple potential vegetation (MPV) models of Hungary were applied to the environmental variable sets corresponding to conditions before and after floodplain widening (pre- and post-treatment, respectively), including water-related and other explanatory variables. This resulted in predicted potential vegetation distribution for pre-treatment and post-treatment conditions, which were then compared via ordinations and PERMANOVA. At two of the study sites, post-treatment potential vegetation prediction typically showed vegetation types requiring wetter and less saline conditions when compared to the pre-treatment potential vegetation distribution. This pattern corresponds to general expectations given river floodplain widening. However, at one of the sites, the potentiality of saline and non-saline steppe vegetation was actually more pronounced under the expected post-treatment conditions than those before widening. The strengthening of the potentiality of dry vegetation types can be explained by the minor environmental differences related to the microrelief. As the studied sites were all located in the lowlands where geomorphological variation is small, the effect of these minor geomorphological differences on post-treatment potential vegetation would have remained hidden without applying MPV models. In conclusion, scenarios that employ MPV models help predict river restoration outcomes more accurately and can help identify factors that might otherwise be overlooked. Thus, when combined with physical modelling of river flow, their use can aid in the restoration and landscape planning decisions in river re-naturalisation projects.}, keywords = {RIVER RESTORATION; vegetation modelling; Embankment removal; Potential vegetation; River re-naturalisation; Saline vegetation}, year = {2024}, eissn = {2351-9894}, pages = {1-15}, orcid-numbers = {Konrád, Krisztina Dóra/0000-0002-4414-8766; Bede-Fazekas, Ákos/0000-0002-2905-338X} } @article{MTMT:34450843, title = {Considering biotic interactions exacerbates the predicted impacts of climate change on coral‐dwelling species}, url = {https://m2.mtmt.hu/api/publication/34450843}, author = {Zhang, Zhixin and Ma, Shaobo and Bede-Fazekas, Ákos and Mammola, Stefano and Qu, Meng and Zhou, Jinxin and Feng, Ellias Yuming and Qin, Geng and Lin, Qiang}, doi = {10.1111/jbi.14789}, journal-iso = {J BIOGEOGR}, journal = {JOURNAL OF BIOGEOGRAPHY}, volume = {51}, unique-id = {34450843}, issn = {0305-0270}, year = {2024}, eissn = {1365-2699}, pages = {769-782}, orcid-numbers = {Bede-Fazekas, Ákos/0000-0002-2905-338X; Lin, Qiang/0000-0002-9916-7761} } @{MTMT:34139745, title = {Stand scale palynology helps to reveal the role of forest exploitation and climate change in the current distribution of Fagus sylvatica in the NE Pannonian Basin (Hungary)}, url = {https://m2.mtmt.hu/api/publication/34139745}, author = {Ofosu-Brakoh, Abigail Amponsaah and Réka, Csorba R. and Bede-Fazekas, Ákos and Standovár, Tibor and Pató, Zsuzsanna Anna and Magyari, Enikő Katalin}, booktitle = {Natural Hazards and Climate Change - conference and workshop for identifying and tackling challenges together}, unique-id = {34139745}, year = {2023}, pages = {18}, orcid-numbers = {Bede-Fazekas, Ákos/0000-0002-2905-338X; Standovár, Tibor/0000-0002-4686-3456; Pató, Zsuzsanna Anna/0000-0003-2135-824X; Magyari, Enikő Katalin/0000-0002-2844-8937} } @CONFERENCE{MTMT:34140872, title = {Stand scale palynology helps to reveal the role of forest exploitation and climate change in the current distribution of Fagus sylvatica in the NE Pannonian Basin (Hungary)}, url = {https://m2.mtmt.hu/api/publication/34140872}, author = {Abigail, Ofosu-Brakoh and Réka, Csorba and Standovár, Tibor and Bede-Fazekas, Ákos and Zsuzanna, Pató and Magyari, Enikő Katalin}, booktitle = {Book of Abstracts}, unique-id = {34140872}, year = {2023}, pages = {2087}, orcid-numbers = {Standovár, Tibor/0000-0002-4686-3456; Bede-Fazekas, Ákos/0000-0002-2905-338X; Magyari, Enikő Katalin/0000-0002-2844-8937} } @article{MTMT:34193879, title = {Empirical delineation of the forest-steppe zone is supported by macroclimate}, url = {https://m2.mtmt.hu/api/publication/34193879}, author = {Bede-Fazekas, Ákos and Török, Péter and Erdős, László}, doi = {10.1038/s41598-023-44221-4}, journal-iso = {SCI REP}, journal = {SCIENTIFIC REPORTS}, volume = {13}, unique-id = {34193879}, issn = {2045-2322}, abstract = {Eurasian forest-steppes form a 9000-km-long transitional zone between temperate forests and steppes, featuring a complex mosaic of herbaceous and woody habitats. Due to its heterogeneity regarding climate, topography and vegetation, the forest-steppe zone has been divided into several regions. However, a continental-scale empirical delineation of the zone and its regions was missing until recently. Finally, a map has been proposed by Erdős et al. based on floristic composition, physiognomy, relief, and climate. By conducting predictive distribution modeling and hierarchical clustering, here we compared this expert delineation with the solely macroclimate-based predictions and clusters. By assessing the discrepancies, we located the areas where refinement of the delineation or the inclusion of non-macroclimatic predictors should be considered. Also, we identified the most important variables for predicting the existence of the Eurasian forest-steppe zone and its regions. The predicted probability of forest-steppe occurrence showed a very high agreement with the expert delineation. The previous delineation of the West Siberia region was confirmed by our results, while that of the Inner Asia region was the one least confirmed by the macroclimate-based model predictions. The appropriate delineation of the Southeast Europe region from the East Europe region should be refined by further research, and splitting the Far East region into a southern and northern subregion should also be considered. The main macroclimatic predictors of the potential distribution of the zone and its regions were potential evapotranspiration (zone and regions), annual mean temperature (regions), precipitation of driest quarter (regions) and precipitation of warmest quarter (zone), but the importance of climatic variables for prediction showed great variability among the fitted predictive distribution models.}, year = {2023}, eissn = {2045-2322}, orcid-numbers = {Bede-Fazekas, Ákos/0000-0002-2905-338X; Erdős, László/0000-0002-6750-0961} } @article{MTMT:33723628, title = {Bridging the gap between an applied map and scientific needs: Visualization of the uncertainty of plant hardiness zone maps, with emphasis on climate change impact}, url = {https://m2.mtmt.hu/api/publication/33723628}, author = {Bede-Fazekas, Ákos and Somodi, Imelda}, doi = {10.1016/j.apgeog.2023.102938}, journal-iso = {APPL GEOGR}, journal = {APPLIED GEOGRAPHY}, volume = {154}, unique-id = {33723628}, issn = {0143-6228}, year = {2023}, eissn = {1873-7730}, orcid-numbers = {Bede-Fazekas, Ákos/0000-0002-2905-338X} }