Erős, Tibor

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  • Erős, Tibor (5)

Author's Bibliography

Correction to: Sturgeons in large rivers: detecting the near-extinct needles in a haystack via eDNA metabarcoding from water samples

Meulenbroek, Paul; Hein, Thomas; Friedrich, Thomas; Valentini, Alice; Erős, Tibor; Schabuss, Michael; Zornig, Horst; Lenhardt, Mirjana; Pekarik, Ladislav; Jean, Pauline; Dejean, Toni; Pont, Didier

(Dordrecht: Springer, 2022)

TY  - JOUR
AU  - Meulenbroek, Paul
AU  - Hein, Thomas
AU  - Friedrich, Thomas
AU  - Valentini, Alice
AU  - Erős, Tibor
AU  - Schabuss, Michael
AU  - Zornig, Horst
AU  - Lenhardt, Mirjana
AU  - Pekarik, Ladislav
AU  - Jean, Pauline
AU  - Dejean, Toni
AU  - Pont, Didier
PY  - 2022
UR  - https://link.springer.com/10.1007/s10531-022-02491-w
UR  - http://radar.ibiss.bg.ac.rs/handle/123456789/5346
PB  - Dordrecht: Springer
T2  - Biodiversity and Conservation
T1  - Correction to: Sturgeons in large rivers: detecting the near-extinct needles in a haystack via eDNA metabarcoding from water samples
DO  - 10.1007/s10531-022-02491-w
ER  - 
@article{
author = "Meulenbroek, Paul and Hein, Thomas and Friedrich, Thomas and Valentini, Alice and Erős, Tibor and Schabuss, Michael and Zornig, Horst and Lenhardt, Mirjana and Pekarik, Ladislav and Jean, Pauline and Dejean, Toni and Pont, Didier",
year = "2022",
publisher = "Dordrecht: Springer",
journal = "Biodiversity and Conservation",
title = "Correction to: Sturgeons in large rivers: detecting the near-extinct needles in a haystack via eDNA metabarcoding from water samples",
doi = "10.1007/s10531-022-02491-w"
}
Meulenbroek, P., Hein, T., Friedrich, T., Valentini, A., Erős, T., Schabuss, M., Zornig, H., Lenhardt, M., Pekarik, L., Jean, P., Dejean, T.,& Pont, D.. (2022). Correction to: Sturgeons in large rivers: detecting the near-extinct needles in a haystack via eDNA metabarcoding from water samples. in Biodiversity and Conservation
Dordrecht: Springer..
https://doi.org/10.1007/s10531-022-02491-w
Meulenbroek P, Hein T, Friedrich T, Valentini A, Erős T, Schabuss M, Zornig H, Lenhardt M, Pekarik L, Jean P, Dejean T, Pont D. Correction to: Sturgeons in large rivers: detecting the near-extinct needles in a haystack via eDNA metabarcoding from water samples. in Biodiversity and Conservation. 2022;.
doi:10.1007/s10531-022-02491-w .
Meulenbroek, Paul, Hein, Thomas, Friedrich, Thomas, Valentini, Alice, Erős, Tibor, Schabuss, Michael, Zornig, Horst, Lenhardt, Mirjana, Pekarik, Ladislav, Jean, Pauline, Dejean, Toni, Pont, Didier, "Correction to: Sturgeons in large rivers: detecting the near-extinct needles in a haystack via eDNA metabarcoding from water samples" in Biodiversity and Conservation (2022),
https://doi.org/10.1007/s10531-022-02491-w . .

Quantitative monitoring of diverse fish communities on a large scale combining eDNA metabarcoding and qPCR.

Pont, Didier; Meulenbroek, Paul; Bammer, Vincenz; Dejean, Tony; Erős, Tibor; Jean, Pauline; Lenhardt, Mirjana; Nagel, Christoffer; Pekarik, Ladislav; Schabuss, Michael; Stoeckle, Bernhard C; Stoica, Elena; Zornig, Horst; Weigand, Alexander; Valentini, Alice

(Hoboken: Wiley, 2022)

TY  - JOUR
AU  - Pont, Didier
AU  - Meulenbroek, Paul
AU  - Bammer, Vincenz
AU  - Dejean, Tony
AU  - Erős, Tibor
AU  - Jean, Pauline
AU  - Lenhardt, Mirjana
AU  - Nagel, Christoffer
AU  - Pekarik, Ladislav
AU  - Schabuss, Michael
AU  - Stoeckle, Bernhard C
AU  - Stoica, Elena
AU  - Zornig, Horst
AU  - Weigand, Alexander
AU  - Valentini, Alice
PY  - 2022
UR  - http://radar.ibiss.bg.ac.rs/handle/123456789/5163
AB  - Environmental DNA (eDNA) metabarcoding is an effective method for studying fish communities but allows only an estimation of relative species abundance (density/biomass). Here, we combine metabarcoding with an estimation of the total abundance of eDNA amplified by our universal marker (teleo) using a quantitative (q)PCR approach to infer the absolute abundance of fish species. We carried out a 2850-km eDNA survey within the Danube catchment using a spatial integrative sampling protocol coupled with traditional electrofishing for fish biomass and density estimation. Total fish eDNA concentrations and total fish abundance were highly correlated. The correlation between eDNA concentrations per taxon and absolute specific abundance was of comparable strength when all sites were pooled and remained significant when the sites were considered separately. Furthermore, a nonlinear mixed model showed that species richness was underestimated when the amount of teleo-DNA extracted from a sample was below a threshold of 0.65 × 106 copies of eDNA. This result, combined with the decrease in teleo-DNA concentration by several orders of magnitude with river size, highlights the need to increase sampling effort in large rivers. Our results provide a comprehensive description of longitudinal changes in fish communities and underline our combined metabarcoding/qPCR approach for biomonitoring and bioassessment surveys when a rough estimate of absolute species abundance is sufficient.
PB  - Hoboken: Wiley
T2  - Molecular Ecology Resources
T1  - Quantitative monitoring of diverse fish communities on a large scale combining eDNA metabarcoding and qPCR.
DO  - 10.1111/1755-0998.13715
ER  - 
@article{
author = "Pont, Didier and Meulenbroek, Paul and Bammer, Vincenz and Dejean, Tony and Erős, Tibor and Jean, Pauline and Lenhardt, Mirjana and Nagel, Christoffer and Pekarik, Ladislav and Schabuss, Michael and Stoeckle, Bernhard C and Stoica, Elena and Zornig, Horst and Weigand, Alexander and Valentini, Alice",
year = "2022",
abstract = "Environmental DNA (eDNA) metabarcoding is an effective method for studying fish communities but allows only an estimation of relative species abundance (density/biomass). Here, we combine metabarcoding with an estimation of the total abundance of eDNA amplified by our universal marker (teleo) using a quantitative (q)PCR approach to infer the absolute abundance of fish species. We carried out a 2850-km eDNA survey within the Danube catchment using a spatial integrative sampling protocol coupled with traditional electrofishing for fish biomass and density estimation. Total fish eDNA concentrations and total fish abundance were highly correlated. The correlation between eDNA concentrations per taxon and absolute specific abundance was of comparable strength when all sites were pooled and remained significant when the sites were considered separately. Furthermore, a nonlinear mixed model showed that species richness was underestimated when the amount of teleo-DNA extracted from a sample was below a threshold of 0.65 × 106 copies of eDNA. This result, combined with the decrease in teleo-DNA concentration by several orders of magnitude with river size, highlights the need to increase sampling effort in large rivers. Our results provide a comprehensive description of longitudinal changes in fish communities and underline our combined metabarcoding/qPCR approach for biomonitoring and bioassessment surveys when a rough estimate of absolute species abundance is sufficient.",
publisher = "Hoboken: Wiley",
journal = "Molecular Ecology Resources",
title = "Quantitative monitoring of diverse fish communities on a large scale combining eDNA metabarcoding and qPCR.",
doi = "10.1111/1755-0998.13715"
}
Pont, D., Meulenbroek, P., Bammer, V., Dejean, T., Erős, T., Jean, P., Lenhardt, M., Nagel, C., Pekarik, L., Schabuss, M., Stoeckle, B. C., Stoica, E., Zornig, H., Weigand, A.,& Valentini, A.. (2022). Quantitative monitoring of diverse fish communities on a large scale combining eDNA metabarcoding and qPCR.. in Molecular Ecology Resources
Hoboken: Wiley..
https://doi.org/10.1111/1755-0998.13715
Pont D, Meulenbroek P, Bammer V, Dejean T, Erős T, Jean P, Lenhardt M, Nagel C, Pekarik L, Schabuss M, Stoeckle BC, Stoica E, Zornig H, Weigand A, Valentini A. Quantitative monitoring of diverse fish communities on a large scale combining eDNA metabarcoding and qPCR.. in Molecular Ecology Resources. 2022;.
doi:10.1111/1755-0998.13715 .
Pont, Didier, Meulenbroek, Paul, Bammer, Vincenz, Dejean, Tony, Erős, Tibor, Jean, Pauline, Lenhardt, Mirjana, Nagel, Christoffer, Pekarik, Ladislav, Schabuss, Michael, Stoeckle, Bernhard C, Stoica, Elena, Zornig, Horst, Weigand, Alexander, Valentini, Alice, "Quantitative monitoring of diverse fish communities on a large scale combining eDNA metabarcoding and qPCR." in Molecular Ecology Resources (2022),
https://doi.org/10.1111/1755-0998.13715 . .
15
29
24

Sturgeons in large rivers: detecting the near-extinct needles in a haystack via eDNA metabarcoding from water samples

Meulenbroek, Paul; Hein, Thomas; Friedrich, Thomas; Valentini, Alice; Erős, Tibor; Schabuss, Michael; Zornig, Horst; Lenhardt, Mirjana; Pekarik, Ladislav; Jean, Pauline; Dejean, Tony; Pont, Didier

(Dordrecht: Springer, 2022)

TY  - JOUR
AU  - Meulenbroek, Paul
AU  - Hein, Thomas
AU  - Friedrich, Thomas
AU  - Valentini, Alice
AU  - Erős, Tibor
AU  - Schabuss, Michael
AU  - Zornig, Horst
AU  - Lenhardt, Mirjana
AU  - Pekarik, Ladislav
AU  - Jean, Pauline
AU  - Dejean, Tony
AU  - Pont, Didier
PY  - 2022
UR  - https://link.springer.com/10.1007/s10531-022-02459-w
UR  - http://radar.ibiss.bg.ac.rs/handle/123456789/5083
AB  - Sturgeon populations are declining worldwide and are the target of extensive conservation efforts. Addressed in several pieces of legislation, sturgeons have received considerable attention as flagship or umbrella species. Despite the need for a better understanding of the distribution and population status, the use of traditional sampling methods failed in the past, thereby hampering reliable assessments, a prerequisite for conservation. Here, we describe the development and application of an environmental DNA (eDNA) metabarcoding approach for detecting rare sturgeons in large rivers. Exemplarily, we developed a reference database for five native Danube sturgeons ( Acipenser stellatus , Acipenser gueldenstaedtii , Acipenser ruthenus, Acipenser nudiventris, and Huso huso ) and two non-native species ( Acipenser baerii and Acipenser transmontanus ), assessed these ex situ, and used eDNA as a detection tool along the entire length of the Danube (Europe, ~ 2850 km) and major tributaries. In ex situ analyses, all assays yielded positive amplifications for the assessed sturgeon species. In the Danube, the presence of A. ruthenus was confirmed at 14 of 29 sites (48.3%), and in 2 of 18 tributary sites (11.1%), providing the first comprehensive large-scale biogeographical snapshot of this species. Relative number of reads assigned to A. ruthenus varied between 0 and 2.5%, with sites registering positive detections being clustered in 3 sections of the Danube. Our findings enabled us to confirm the advantages of eDNA monitoring over traditional sampling methods for comprehensive whole-river snapshot studies of sturgeons conducted on a large geographical scale, and therefore we consider it to be a promising approach for application in conservation measures, fisheries management, scientific studies, and adaptive management plans for sturgeons on a global scale.
PB  - Dordrecht: Springer
T2  - Biodiversity and Conservation
T1  - Sturgeons in large rivers: detecting the near-extinct needles in a haystack via eDNA metabarcoding from water samples
IS  - 11
VL  - 31
DO  - 10.1007/s10531-022-02459-w
SP  - 2817
EP  - 2832
ER  - 
@article{
author = "Meulenbroek, Paul and Hein, Thomas and Friedrich, Thomas and Valentini, Alice and Erős, Tibor and Schabuss, Michael and Zornig, Horst and Lenhardt, Mirjana and Pekarik, Ladislav and Jean, Pauline and Dejean, Tony and Pont, Didier",
year = "2022",
abstract = "Sturgeon populations are declining worldwide and are the target of extensive conservation efforts. Addressed in several pieces of legislation, sturgeons have received considerable attention as flagship or umbrella species. Despite the need for a better understanding of the distribution and population status, the use of traditional sampling methods failed in the past, thereby hampering reliable assessments, a prerequisite for conservation. Here, we describe the development and application of an environmental DNA (eDNA) metabarcoding approach for detecting rare sturgeons in large rivers. Exemplarily, we developed a reference database for five native Danube sturgeons ( Acipenser stellatus , Acipenser gueldenstaedtii , Acipenser ruthenus, Acipenser nudiventris, and Huso huso ) and two non-native species ( Acipenser baerii and Acipenser transmontanus ), assessed these ex situ, and used eDNA as a detection tool along the entire length of the Danube (Europe, ~ 2850 km) and major tributaries. In ex situ analyses, all assays yielded positive amplifications for the assessed sturgeon species. In the Danube, the presence of A. ruthenus was confirmed at 14 of 29 sites (48.3%), and in 2 of 18 tributary sites (11.1%), providing the first comprehensive large-scale biogeographical snapshot of this species. Relative number of reads assigned to A. ruthenus varied between 0 and 2.5%, with sites registering positive detections being clustered in 3 sections of the Danube. Our findings enabled us to confirm the advantages of eDNA monitoring over traditional sampling methods for comprehensive whole-river snapshot studies of sturgeons conducted on a large geographical scale, and therefore we consider it to be a promising approach for application in conservation measures, fisheries management, scientific studies, and adaptive management plans for sturgeons on a global scale.",
publisher = "Dordrecht: Springer",
journal = "Biodiversity and Conservation",
title = "Sturgeons in large rivers: detecting the near-extinct needles in a haystack via eDNA metabarcoding from water samples",
number = "11",
volume = "31",
doi = "10.1007/s10531-022-02459-w",
pages = "2817-2832"
}
Meulenbroek, P., Hein, T., Friedrich, T., Valentini, A., Erős, T., Schabuss, M., Zornig, H., Lenhardt, M., Pekarik, L., Jean, P., Dejean, T.,& Pont, D.. (2022). Sturgeons in large rivers: detecting the near-extinct needles in a haystack via eDNA metabarcoding from water samples. in Biodiversity and Conservation
Dordrecht: Springer., 31(11), 2817-2832.
https://doi.org/10.1007/s10531-022-02459-w
Meulenbroek P, Hein T, Friedrich T, Valentini A, Erős T, Schabuss M, Zornig H, Lenhardt M, Pekarik L, Jean P, Dejean T, Pont D. Sturgeons in large rivers: detecting the near-extinct needles in a haystack via eDNA metabarcoding from water samples. in Biodiversity and Conservation. 2022;31(11):2817-2832.
doi:10.1007/s10531-022-02459-w .
Meulenbroek, Paul, Hein, Thomas, Friedrich, Thomas, Valentini, Alice, Erős, Tibor, Schabuss, Michael, Zornig, Horst, Lenhardt, Mirjana, Pekarik, Ladislav, Jean, Pauline, Dejean, Tony, Pont, Didier, "Sturgeons in large rivers: detecting the near-extinct needles in a haystack via eDNA metabarcoding from water samples" in Biodiversity and Conservation, 31, no. 11 (2022):2817-2832,
https://doi.org/10.1007/s10531-022-02459-w . .
9
5
4

Speaking their language – development of a multilingual decision-support tool for communicating invasive species risks to decision makers and stakeholders

Copp, Gordon H.; Vilizzi, Lorenzo; Wei, Hui; Li, Shan; Piria, Marina; Al-Faisal, Abbas J.; Almeida, David; Atique, Usman; Al-Wazzan, Zainab; Bakiu, Rigers; Bašić, Tea; Bui, Thuyet D.; Canning-Clode, João; Castro, Nuno; Chaichana, Ratcha; Çoker, Tülin; Dashinov, Dimitriy; Ekmekçi, F.Güler; Erős, Tibor; Ferincz, Árpád; Ferreira, Teresa; Giannetto, Daniela; Gilles, Allan S.; Głowacki, Łukasz; Goulletquer, Philippe; Interesova, Elena; Iqbal, Sonia; Jakubčinová, Katarína; Kanongdate, Kamalaporn; Kim, Jeong-Eun; Kopecký, Oldřich; Kostov, Vasil; Koutsikos, Nicholas; Kozic, Sebastian; Kristan, Petra; Kurita, Yoshihisa; Lee, Hwang-Goo; Leuven, Rob S.E.W.; Lipinskaya, Tatsiana; Lukas, Juliane; Marchini, Agnese; González Martínez, Ana Isabel; Masson, Laurence; Memedemin, Daniyar; Moghaddas, Seyed Daryoush; Monteiro, João; Mumladze, Levan; Naddafi, Rahmat; Năvodaru, Ion; Olsson, Karin H.; Onikura, Norio; Paganelli, Daniele; Pavia, Richard Thomas; Perdikaris, Costas; Pickholtz, Renanel; Pietraszewski, Dariusz; Povž, Meta; Preda, Cristina; Ristovska, Milica; Rosíková, Karin; Santos, José Maria; Semenchenko, Vitaliy; Senanan, Wansuk; Simonović, Predrag; Smeti, Evangelia; Števove, Barbora; Švolíková, Kristína; Ta, Kieu Anh T.; Tarkan, Ali Serhan; Top, Nildeniz; Tricarico, Elena; Uzunova, Eliza; Vardakas, Leonidas; Verreycken, Hugo; Zięba, Grzegorz; Mendoza, Roberto

(Elsevier BV, 2020)

TY  - JOUR
AU  - Copp, Gordon H.
AU  - Vilizzi, Lorenzo
AU  - Wei, Hui
AU  - Li, Shan
AU  - Piria, Marina
AU  - Al-Faisal, Abbas J.
AU  - Almeida, David
AU  - Atique, Usman
AU  - Al-Wazzan, Zainab
AU  - Bakiu, Rigers
AU  - Bašić, Tea
AU  - Bui, Thuyet D.
AU  - Canning-Clode, João
AU  - Castro, Nuno
AU  - Chaichana, Ratcha
AU  - Çoker, Tülin
AU  - Dashinov, Dimitriy
AU  - Ekmekçi, F.Güler
AU  - Erős, Tibor
AU  - Ferincz, Árpád
AU  - Ferreira, Teresa
AU  - Giannetto, Daniela
AU  - Gilles, Allan S.
AU  - Głowacki, Łukasz
AU  - Goulletquer, Philippe
AU  - Interesova, Elena
AU  - Iqbal, Sonia
AU  - Jakubčinová, Katarína
AU  - Kanongdate, Kamalaporn
AU  - Kim, Jeong-Eun
AU  - Kopecký, Oldřich
AU  - Kostov, Vasil
AU  - Koutsikos, Nicholas
AU  - Kozic, Sebastian
AU  - Kristan, Petra
AU  - Kurita, Yoshihisa
AU  - Lee, Hwang-Goo
AU  - Leuven, Rob S.E.W.
AU  - Lipinskaya, Tatsiana
AU  - Lukas, Juliane
AU  - Marchini, Agnese
AU  - González Martínez, Ana Isabel
AU  - Masson, Laurence
AU  - Memedemin, Daniyar
AU  - Moghaddas, Seyed Daryoush
AU  - Monteiro, João
AU  - Mumladze, Levan
AU  - Naddafi, Rahmat
AU  - Năvodaru, Ion
AU  - Olsson, Karin H.
AU  - Onikura, Norio
AU  - Paganelli, Daniele
AU  - Pavia, Richard Thomas
AU  - Perdikaris, Costas
AU  - Pickholtz, Renanel
AU  - Pietraszewski, Dariusz
AU  - Povž, Meta
AU  - Preda, Cristina
AU  - Ristovska, Milica
AU  - Rosíková, Karin
AU  - Santos, José Maria
AU  - Semenchenko, Vitaliy
AU  - Senanan, Wansuk
AU  - Simonović, Predrag
AU  - Smeti, Evangelia
AU  - Števove, Barbora
AU  - Švolíková, Kristína
AU  - Ta, Kieu Anh T.
AU  - Tarkan, Ali Serhan
AU  - Top, Nildeniz
AU  - Tricarico, Elena
AU  - Uzunova, Eliza
AU  - Vardakas, Leonidas
AU  - Verreycken, Hugo
AU  - Zięba, Grzegorz
AU  - Mendoza, Roberto
PY  - 2020
UR  - https://linkinghub.elsevier.com/retrieve/pii/S1364815220309579
UR  - https://radar.ibiss.bg.ac.rs/handle/123456789/3946
AB  - Environmental changes due to non-native species introductions and translocations are a global concern. Whilst understanding the causes of bioinvasions is important, there is need for decision-support tools that facilitate effective communication of the potential risks of invasive non-native species to stakeholders. Decision-support tools have been developed mostly in English language only, which increases linguistic uncertainty associated with risk assessments undertaken by assessors not of English mother tongue and who need to communicate outcomes to local stakeholders. To reduce language-based uncertainty, the ‘ecology-of-language’ paradigm was applied when developing the Aquatic Species Invasiveness Screening Kit (AS-ISK), a decision-support tool that offers 32 languages in which to carry out screenings and communicate outcomes to stakeholders. Topics discussed include uncertainty related to language-specific issues encountered during the AS-ISK translation and the potential benefits of a multilingual decision-support tool for reducing linguistic uncertainty and enhancing communication between scientists, environmental managers, and policy and decision makers.
PB  - Elsevier BV
T2  - Environmental Modelling & Software
T1  - Speaking their language – development of a multilingual decision-support tool for communicating invasive species risks to decision makers and stakeholders
VL  - 135
DO  - 10.1016/j.envsoft.2020.104900
SP  - 104900
ER  - 
@article{
author = "Copp, Gordon H. and Vilizzi, Lorenzo and Wei, Hui and Li, Shan and Piria, Marina and Al-Faisal, Abbas J. and Almeida, David and Atique, Usman and Al-Wazzan, Zainab and Bakiu, Rigers and Bašić, Tea and Bui, Thuyet D. and Canning-Clode, João and Castro, Nuno and Chaichana, Ratcha and Çoker, Tülin and Dashinov, Dimitriy and Ekmekçi, F.Güler and Erős, Tibor and Ferincz, Árpád and Ferreira, Teresa and Giannetto, Daniela and Gilles, Allan S. and Głowacki, Łukasz and Goulletquer, Philippe and Interesova, Elena and Iqbal, Sonia and Jakubčinová, Katarína and Kanongdate, Kamalaporn and Kim, Jeong-Eun and Kopecký, Oldřich and Kostov, Vasil and Koutsikos, Nicholas and Kozic, Sebastian and Kristan, Petra and Kurita, Yoshihisa and Lee, Hwang-Goo and Leuven, Rob S.E.W. and Lipinskaya, Tatsiana and Lukas, Juliane and Marchini, Agnese and González Martínez, Ana Isabel and Masson, Laurence and Memedemin, Daniyar and Moghaddas, Seyed Daryoush and Monteiro, João and Mumladze, Levan and Naddafi, Rahmat and Năvodaru, Ion and Olsson, Karin H. and Onikura, Norio and Paganelli, Daniele and Pavia, Richard Thomas and Perdikaris, Costas and Pickholtz, Renanel and Pietraszewski, Dariusz and Povž, Meta and Preda, Cristina and Ristovska, Milica and Rosíková, Karin and Santos, José Maria and Semenchenko, Vitaliy and Senanan, Wansuk and Simonović, Predrag and Smeti, Evangelia and Števove, Barbora and Švolíková, Kristína and Ta, Kieu Anh T. and Tarkan, Ali Serhan and Top, Nildeniz and Tricarico, Elena and Uzunova, Eliza and Vardakas, Leonidas and Verreycken, Hugo and Zięba, Grzegorz and Mendoza, Roberto",
year = "2020",
abstract = "Environmental changes due to non-native species introductions and translocations are a global concern. Whilst understanding the causes of bioinvasions is important, there is need for decision-support tools that facilitate effective communication of the potential risks of invasive non-native species to stakeholders. Decision-support tools have been developed mostly in English language only, which increases linguistic uncertainty associated with risk assessments undertaken by assessors not of English mother tongue and who need to communicate outcomes to local stakeholders. To reduce language-based uncertainty, the ‘ecology-of-language’ paradigm was applied when developing the Aquatic Species Invasiveness Screening Kit (AS-ISK), a decision-support tool that offers 32 languages in which to carry out screenings and communicate outcomes to stakeholders. Topics discussed include uncertainty related to language-specific issues encountered during the AS-ISK translation and the potential benefits of a multilingual decision-support tool for reducing linguistic uncertainty and enhancing communication between scientists, environmental managers, and policy and decision makers.",
publisher = "Elsevier BV",
journal = "Environmental Modelling & Software",
title = "Speaking their language – development of a multilingual decision-support tool for communicating invasive species risks to decision makers and stakeholders",
volume = "135",
doi = "10.1016/j.envsoft.2020.104900",
pages = "104900"
}
Copp, G. H., Vilizzi, L., Wei, H., Li, S., Piria, M., Al-Faisal, A. J., Almeida, D., Atique, U., Al-Wazzan, Z., Bakiu, R., Bašić, T., Bui, T. D., Canning-Clode, J., Castro, N., Chaichana, R., Çoker, T., Dashinov, D., Ekmekçi, F.Güler, Erős, T., Ferincz, Á., Ferreira, T., Giannetto, D., Gilles, A. S., Głowacki, Ł., Goulletquer, P., Interesova, E., Iqbal, S., Jakubčinová, K., Kanongdate, K., Kim, J., Kopecký, O., Kostov, V., Koutsikos, N., Kozic, S., Kristan, P., Kurita, Y., Lee, H., Leuven, R. S.E.W., Lipinskaya, T., Lukas, J., Marchini, A., González Martínez, A. I., Masson, L., Memedemin, D., Moghaddas, S. D., Monteiro, J., Mumladze, L., Naddafi, R., Năvodaru, I., Olsson, K. H., Onikura, N., Paganelli, D., Pavia, R. T., Perdikaris, C., Pickholtz, R., Pietraszewski, D., Povž, M., Preda, C., Ristovska, M., Rosíková, K., Santos, J. M., Semenchenko, V., Senanan, W., Simonović, P., Smeti, E., Števove, B., Švolíková, K., Ta, K. A. T., Tarkan, A. S., Top, N., Tricarico, E., Uzunova, E., Vardakas, L., Verreycken, H., Zięba, G.,& Mendoza, R.. (2020). Speaking their language – development of a multilingual decision-support tool for communicating invasive species risks to decision makers and stakeholders. in Environmental Modelling & Software
Elsevier BV., 135, 104900.
https://doi.org/10.1016/j.envsoft.2020.104900
Copp GH, Vilizzi L, Wei H, Li S, Piria M, Al-Faisal AJ, Almeida D, Atique U, Al-Wazzan Z, Bakiu R, Bašić T, Bui TD, Canning-Clode J, Castro N, Chaichana R, Çoker T, Dashinov D, Ekmekçi F, Erős T, Ferincz Á, Ferreira T, Giannetto D, Gilles AS, Głowacki Ł, Goulletquer P, Interesova E, Iqbal S, Jakubčinová K, Kanongdate K, Kim J, Kopecký O, Kostov V, Koutsikos N, Kozic S, Kristan P, Kurita Y, Lee H, Leuven RS, Lipinskaya T, Lukas J, Marchini A, González Martínez AI, Masson L, Memedemin D, Moghaddas SD, Monteiro J, Mumladze L, Naddafi R, Năvodaru I, Olsson KH, Onikura N, Paganelli D, Pavia RT, Perdikaris C, Pickholtz R, Pietraszewski D, Povž M, Preda C, Ristovska M, Rosíková K, Santos JM, Semenchenko V, Senanan W, Simonović P, Smeti E, Števove B, Švolíková K, Ta KAT, Tarkan AS, Top N, Tricarico E, Uzunova E, Vardakas L, Verreycken H, Zięba G, Mendoza R. Speaking their language – development of a multilingual decision-support tool for communicating invasive species risks to decision makers and stakeholders. in Environmental Modelling & Software. 2020;135:104900.
doi:10.1016/j.envsoft.2020.104900 .
Copp, Gordon H., Vilizzi, Lorenzo, Wei, Hui, Li, Shan, Piria, Marina, Al-Faisal, Abbas J., Almeida, David, Atique, Usman, Al-Wazzan, Zainab, Bakiu, Rigers, Bašić, Tea, Bui, Thuyet D., Canning-Clode, João, Castro, Nuno, Chaichana, Ratcha, Çoker, Tülin, Dashinov, Dimitriy, Ekmekçi, F.Güler, Erős, Tibor, Ferincz, Árpád, Ferreira, Teresa, Giannetto, Daniela, Gilles, Allan S., Głowacki, Łukasz, Goulletquer, Philippe, Interesova, Elena, Iqbal, Sonia, Jakubčinová, Katarína, Kanongdate, Kamalaporn, Kim, Jeong-Eun, Kopecký, Oldřich, Kostov, Vasil, Koutsikos, Nicholas, Kozic, Sebastian, Kristan, Petra, Kurita, Yoshihisa, Lee, Hwang-Goo, Leuven, Rob S.E.W., Lipinskaya, Tatsiana, Lukas, Juliane, Marchini, Agnese, González Martínez, Ana Isabel, Masson, Laurence, Memedemin, Daniyar, Moghaddas, Seyed Daryoush, Monteiro, João, Mumladze, Levan, Naddafi, Rahmat, Năvodaru, Ion, Olsson, Karin H., Onikura, Norio, Paganelli, Daniele, Pavia, Richard Thomas, Perdikaris, Costas, Pickholtz, Renanel, Pietraszewski, Dariusz, Povž, Meta, Preda, Cristina, Ristovska, Milica, Rosíková, Karin, Santos, José Maria, Semenchenko, Vitaliy, Senanan, Wansuk, Simonović, Predrag, Smeti, Evangelia, Števove, Barbora, Švolíková, Kristína, Ta, Kieu Anh T., Tarkan, Ali Serhan, Top, Nildeniz, Tricarico, Elena, Uzunova, Eliza, Vardakas, Leonidas, Verreycken, Hugo, Zięba, Grzegorz, Mendoza, Roberto, "Speaking their language – development of a multilingual decision-support tool for communicating invasive species risks to decision makers and stakeholders" in Environmental Modelling & Software, 135 (2020):104900,
https://doi.org/10.1016/j.envsoft.2020.104900 . .
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Comparison of littoral and deep water sampling methods for assessing macroinvertebrate assemblages along the longitudinal profile of a very large river (the Danube River, Europe)

Szekeres, József; Borza, Péter; Csányi, Béla; Graf, Wolfram; Huber, Thomas; Leitner, Patrick; Milošević, Đurađ; Paunović, Momir; Pavelescu, Claudia; Erős, Tibor

(2019)

TY  - JOUR
AU  - Szekeres, József
AU  - Borza, Péter
AU  - Csányi, Béla
AU  - Graf, Wolfram
AU  - Huber, Thomas
AU  - Leitner, Patrick
AU  - Milošević, Đurađ
AU  - Paunović, Momir
AU  - Pavelescu, Claudia
AU  - Erős, Tibor
PY  - 2019
UR  - https://onlinelibrary.wiley.com/doi/abs/10.1002/rra.3486
UR  - https://radar.ibiss.bg.ac.rs/handle/123456789/3433
AB  - We comparatively examined the role of littoral and deep water sampling methods in assessing macroinvertebrate assemblages and in characterizing longitudinal changes in assemblage structure along >2,500‐km–long course of the Danube River, Europe. The effectiveness of detecting taxa corresponded well with an inshore–offshore gradient in sampling (i.e., distance from shore). Nevertheless, each method (i.e., littoral multihabitat sampling, kick and sweep sampling, and deep water dredging) contributed to some degree to overall taxa richness and species composition. Sampling in different depth zones characterized different assemblages, and consequently, inshore–offshore position was at least as important determinant of assemblage structure as longitudinal position of sampling sites in the river. Although we found significant congruency in the spatial variability of assemblages among the sampling methods, the relationships were only moderate. Our study on the large Danube River confirms studies from smaller rivers in other geographic regions that littoral monitoring provides higher taxa richness and more responsive changes to longitudinal gradients than deep water samples. Nevertheless, it also shows that sampling in different depth zones provides supplementary information on assemblage structure. Understanding changes in macroinvertebrate assemblages related to differences in sampling method is crucial to improve the bioassessment and environmental management of large rivers.
T2  - River Research and Applications
T2  - River Research and Applications
T1  - Comparison of littoral and deep water sampling methods for assessing macroinvertebrate assemblages along the longitudinal profile of a very large river (the Danube River, Europe)
DO  - 10.1002/rra.3486
ER  - 
@article{
author = "Szekeres, József and Borza, Péter and Csányi, Béla and Graf, Wolfram and Huber, Thomas and Leitner, Patrick and Milošević, Đurađ and Paunović, Momir and Pavelescu, Claudia and Erős, Tibor",
year = "2019",
abstract = "We comparatively examined the role of littoral and deep water sampling methods in assessing macroinvertebrate assemblages and in characterizing longitudinal changes in assemblage structure along >2,500‐km–long course of the Danube River, Europe. The effectiveness of detecting taxa corresponded well with an inshore–offshore gradient in sampling (i.e., distance from shore). Nevertheless, each method (i.e., littoral multihabitat sampling, kick and sweep sampling, and deep water dredging) contributed to some degree to overall taxa richness and species composition. Sampling in different depth zones characterized different assemblages, and consequently, inshore–offshore position was at least as important determinant of assemblage structure as longitudinal position of sampling sites in the river. Although we found significant congruency in the spatial variability of assemblages among the sampling methods, the relationships were only moderate. Our study on the large Danube River confirms studies from smaller rivers in other geographic regions that littoral monitoring provides higher taxa richness and more responsive changes to longitudinal gradients than deep water samples. Nevertheless, it also shows that sampling in different depth zones provides supplementary information on assemblage structure. Understanding changes in macroinvertebrate assemblages related to differences in sampling method is crucial to improve the bioassessment and environmental management of large rivers.",
journal = "River Research and Applications, River Research and Applications",
title = "Comparison of littoral and deep water sampling methods for assessing macroinvertebrate assemblages along the longitudinal profile of a very large river (the Danube River, Europe)",
doi = "10.1002/rra.3486"
}
Szekeres, J., Borza, P., Csányi, B., Graf, W., Huber, T., Leitner, P., Milošević, Đ., Paunović, M., Pavelescu, C.,& Erős, T.. (2019). Comparison of littoral and deep water sampling methods for assessing macroinvertebrate assemblages along the longitudinal profile of a very large river (the Danube River, Europe). in River Research and Applications.
https://doi.org/10.1002/rra.3486
Szekeres J, Borza P, Csányi B, Graf W, Huber T, Leitner P, Milošević Đ, Paunović M, Pavelescu C, Erős T. Comparison of littoral and deep water sampling methods for assessing macroinvertebrate assemblages along the longitudinal profile of a very large river (the Danube River, Europe). in River Research and Applications. 2019;.
doi:10.1002/rra.3486 .
Szekeres, József, Borza, Péter, Csányi, Béla, Graf, Wolfram, Huber, Thomas, Leitner, Patrick, Milošević, Đurađ, Paunović, Momir, Pavelescu, Claudia, Erős, Tibor, "Comparison of littoral and deep water sampling methods for assessing macroinvertebrate assemblages along the longitudinal profile of a very large river (the Danube River, Europe)" in River Research and Applications (2019),
https://doi.org/10.1002/rra.3486 . .
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