@article{MTMT:34830516,
	title = {Effects of joint invasion: How co-invaders affect each other's success in model food webs?},
	url = {https://m2.mtmt.hu/api/publication/34830516},
	author = {Szilágyiné Móréh, Ágnes and Jordán, Ferenc and Scheuring, István},
	doi = {10.1016/j.ecolmodel.2024.110735},
	journal-iso = {ECOL MODEL},
	journal = {ECOLOGICAL MODELLING},
	volume = {492},
	unique-id = {34830516},
	issn = {0304-3800},
	year = {2024},
	eissn = {1872-7026},
	pages = {110735},
	orcid-numbers = {Scheuring, István/0000-0002-8108-8897}
}

@article{MTMT:34173194,
	title = {Identifying marine food web homogenization patterns},
	url = {https://m2.mtmt.hu/api/publication/34173194},
	author = {Xu, Yan and Huo, Xumeng and Jordán, Ferenc and Zhou, Mingliang and Cai, Yanpeng and Sun, Jun},
	doi = {10.3389/fmars.2023.1245513},
	journal-iso = {FRONT MAR SCI},
	journal = {FRONTIERS IN MARINE SCIENCE},
	volume = {10},
	unique-id = {34173194},
	abstract = {Ecosystems become increasingly similar to each other, based on species composition. Despite the inevitability of homogenized ecosystems due to global change, few studies have specifically addressed the identification of homogeneous systems in food webs. This study focuses on identifying different patterns of marine food web homogenization by selecting 41 marine food webs and establishing an indicator system. The research classifies the food webs into seven main types based on three different homogenization processes (I, II, III, IV, V, VI, and VII), with approximately 60.1%, 46.3%, and 61% of the homogenization being structural, functional, and resource homogenization, respectively. It highlights the importance of homogenization processes in marine ecosystems, which are mainly driven by interactions between structural and resource homogenization. The research found that Type V exhibited universality in both temporal and spatial dimensions, while Type III also showed universality when the food webs were dominated by resource homogenization. On the other hand, Type I, which was associated with human activities, showed locality when the food web only manifested structural homogenization. Functional homogenization often occurred alongside structural homogenization, as seen in Type IV and Type VII. Yet, when the food web exhibited functional homogenization (Type II), it was directly linked to human activities over the past 20 years. The research aimed to improve the methodology in terms of (a) identifying different food web homogenization patterns; (b) establishing indicators system to quantify food web homogenization; and (c) clarifying the ecological significance of food web homogenization. The study provided a comprehensive understanding of food web homogenization and its associated risks, which could inform nature-based ecosystem management strategies to mitigate the impacts of future climate change.},
	year = {2023},
	eissn = {2296-7745}
}

@article{MTMT:34070362,
	title = {Spatial variability of the Po River food web and its comparison with the Danube River food web},
	url = {https://m2.mtmt.hu/api/publication/34070362},
	author = {Patonai, Katalin and Jordán, Ferenc and Castaldelli, Giuseppe and Congiu, Leonardo and Gavioli, Anna},
	doi = {10.1371/journal.pone.0288652},
	journal-iso = {PLOS ONE},
	journal = {PLOS ONE},
	volume = {18},
	unique-id = {34070362},
	issn = {1932-6203},
	abstract = {Freshwater ecosystems are experiencing unprecedented pressure globally. To address environmental challenges, systematic and comparative studies on ecosystems are needed, though mostly lacking, especially for rivers. Here, we describe the food web of the Po River (as integrated from the white literature and monitoring data), describe the three river sections using network analysis, and compare our results with the previously compiled Danube River food web. The Po River food web was taxonomically aggregated in five consecutive steps (T1-T5) and it was also analyzed using the regular equivalence (REGE) algorithm to identify structurally similar nodes in the most aggregated T5 model. In total, the two river food webs shared 30 nodes. Two network metrics (normalized degree centrality [nDC]) and normalized betweenness centrality [nBC]) were compared using Mann-Whitney tests in the two rivers. On average, the Po River nodes have larger nDC values than in the Danube, meaning that neighboring connections are better mapped. Regarding nBC, there were no significant differences between the two rivers. Finally, based on both centrality indices, Carassius auratus is the most important node in the Po River food web, whereas phytoplankton and detritus are most important in the Danube River. Using network analysis and comparative methods, it is possible to draw attention to important trophic groups and knowledge gaps, which can guide future research. These simple models for the Po River food web can pave the way for more advanced models, supporting quantitative and predictive—as well as more functional—descriptions of ecosystems.},
	year = {2023},
	eissn = {1932-6203}
}

@article{MTMT:33292013,
	title = {Network effects in multi-species fisheries},
	url = {https://m2.mtmt.hu/api/publication/33292013},
	author = {Jordán, Ferenc and Szilágyiné Móréh, Ágnes},
	doi = {10.1007/s42977-022-00141-4},
	journal-iso = {BIOL FUTURA},
	journal = {BIOLOGIA FUTURA},
	volume = {73},
	unique-id = {33292013},
	issn = {2676-8615},
	year = {2022},
	eissn = {2676-8607},
	pages = {441-444}
}

@article{MTMT:32590925,
	title = {Resource availability influences global social network properties in Gunnison’s prairie dogs (Cynomys gunnisoni)},
	url = {https://m2.mtmt.hu/api/publication/32590925},
	author = {Jordán, Ferenc and Kovács, Bálint and Verdolin, Jennifer L.},
	doi = {10.1163/1568539X-bja10118},
	journal-iso = {BEHAVIOUR},
	journal = {BEHAVIOUR},
	volume = {159},
	unique-id = {32590925},
	issn = {0005-7959},
	year = {2022},
	eissn = {1568-539X},
	pages = {321-338}
}

@article{MTMT:32289988,
	title = {Who Is Where in Marine Food Webs? A Trait-Based Analysis of Network Positions},
	url = {https://m2.mtmt.hu/api/publication/32289988},
	author = {Endrédi, Anett and Patonai, Katalin and Podani, János and Libralato, Simone and Jordán, Ferenc},
	doi = {10.3389/fmars.2021.636042},
	journal-iso = {FRONT MAR SCI},
	journal = {FRONTIERS IN MARINE SCIENCE},
	volume = {8},
	unique-id = {32289988},
	year = {2021},
	eissn = {2296-7745},
	orcid-numbers = {Podani, János/0000-0002-1452-1486}
}

@article{MTMT:31941846,
	title = {Combining centrality indices: Maximizing the predictability of keystone species in food webs},
	url = {https://m2.mtmt.hu/api/publication/31941846},
	author = {Gouveia, Catarina and Szilágyiné Móréh, Ágnes and Jordán, Ferenc},
	doi = {10.1016/j.ecolind.2021.107617},
	journal-iso = {ECOL INDIC},
	journal = {ECOLOGICAL INDICATORS},
	volume = {126},
	unique-id = {31941846},
	issn = {1470-160X},
	year = {2021},
	eissn = {1872-7034}
}

@book{MTMT:31857265,
	title = {Marine Coastal Ecosystems Modelling and Conservation},
	url = {https://m2.mtmt.hu/api/publication/31857265},
	isbn = {9783030582111},
	doi = {10.1007/978-3-030-58211-1},
	editor = {Jordán, Ferenc and Ortiz, Marco},
	publisher = {Springer Netherlands},
	unique-id = {31857265},
	year = {2021},
	orcid-numbers = {Jordán, Ferenc/0000-0002-0224-6472; Ortiz, Marco/0000-0002-1126-7216}
}

@{MTMT:31857264,
	title = {Macroscopic Properties and Keystone Species Complexes in Kelp Forest Ecosystems Along the North-Central Chilean Coast. Chapter 5},
	url = {https://m2.mtmt.hu/api/publication/31857264},
	author = {Hermosillo-Núñez, Brenda B. and Ortiz, Marco and Jordán, Ferenc and Endrédi, Anett},
	booktitle = {Marine Coastal Ecosystems Modelling and Conservation},
	doi = {10.1007/978-3-030-58211-1_5},
	unique-id = {31857264},
	year = {2021},
	pages = {95-125}
}

@article{MTMT:31793593,
	title = {Topology of additive pairwise effects in food webs},
	url = {https://m2.mtmt.hu/api/publication/31793593},
	author = {Szilágyiné Móréh, Ágnes and Endrédi, Anett and Piross, Imre Sándor and Jordán, Ferenc},
	doi = {10.1016/j.ecolmodel.2020.109414},
	journal-iso = {ECOL MODEL},
	journal = {ECOLOGICAL MODELLING},
	volume = {440},
	unique-id = {31793593},
	issn = {0304-3800},
	year = {2021},
	eissn = {1872-7026}
}