Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Albin Meyer"'
Publikováno v:
Ecological Indicators, Vol 166, Iss , Pp 112303- (2024)
Large rivers around the world are impacted by human activities. Such activities can lead to the eutrophication of these water bodies, and consequently to potentially harmful algal blooms. In this study, we describe the development of a phytoplankton-
Externí odkaz:
https://doaj.org/article/d271a8d6063447039f75acacdc148248
Autor:
Aurélie Cébron, Emna Zeghal, Philippe Usseglio-Polatera, Albin Meyer, Pascale Bauda, Florian Lemmel, Corinne Leyval, Florence Maunoury-Danger
Publikováno v:
Ecological Indicators, Vol 130, Iss , Pp 108047- (2021)
In the environment, abiotic (climatic conditions, physico-chemical parameters), biotic (interactions between microorganisms, vegetation and fauna), and anthropogenic (stress, pollution) filters are driving the microbial diversity observed locally. A
Externí odkaz:
https://doaj.org/article/f10bb0f92f4d411c9f836802e084f075
Autor:
Joséphine Kengne Fotsing, Samuel Foto Menbohan, Albin Meyer, Alain Leprêtre, Philippe Usseglio-Polatera
Publikováno v:
Water, Vol 14, Iss 9, p 1490 (2022)
Tropical rivers are strongly influenced by stormwaters, pollutants and agro-pastoral activities. These systems are no longer able to maintain their native biota. Therefore, it seems important to understand how biological assemblages are driven by env
Externí odkaz:
https://doaj.org/article/5017ef58852e43fd956dae787ddde620
Autor:
Albin Meyer, Benjamin Alric, Olivier Dézerald, Elise Billoir, Romain Coulaud, Floriane Larras, Cédric P. Mondy, Philippe Usseglio-Polatera
Publikováno v:
Water, Vol 14, Iss 8, p 1184 (2022)
The ecological quality of freshwater ecosystems is endangered by various micropollutants released into the environment by human activities. The cumulative effects of these micropollutants can affect the fitness of organisms and populations and the fu
Externí odkaz:
https://doaj.org/article/22784b78fe5c413da14396d10e8e8d89
Autor:
Miriam Beck, Elise Billoir, Vincent Felten, Albin Meyer, Philippe Usseglio‐Polatera, Michael Danger
Publikováno v:
Ecology and evolution. 12(12)
Ecologists rely on various functional traits when investigating the functioning of ecological systems and its responses to global changes. Changing nutrient levels, for example, can affect taxa expressing different trait combinations in various ways,
Publikováno v:
Hydrobiologia. 848:1593-1609
In Europe, large rivers have been greatly impacted by engineering and hydraulic works. The Upper Rhine channelization has notably led to a disconnection between the main channel and its floodplain and side channels. Between 1998 and 2006, unprecedent
Autor:
Philippe Usseglio-Polatera, Elise Billoir, Miriam Beck, Albin Meyer, Michael Danger, Vincent Felten
Publikováno v:
Global Ecology and Biogeography
Global Ecology and Biogeography, Wiley, 2022, 31 (1), pp.4-9. ⟨10.1111/geb.13413⟩
Global Ecology and Biogeography, Wiley, 2022, 31 (1), pp.4-9. ⟨10.1111/geb.13413⟩
International audience
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c3ad07c66c767e3869447b052484d45e
https://hal.univ-lorraine.fr/hal-03451714
https://hal.univ-lorraine.fr/hal-03451714
Autor:
Florian Lemmel, Philippe Usseglio-Polatera, Albin Meyer, Emna Zeghal, Florence Maunoury-Danger, Pascale Bauda, Aurélie Cébron, Corinne Leyval
Publikováno v:
Ecological Indicators, Vol 130, Iss, Pp 108047-(2021)
Ecological Indicators
Ecological Indicators, Elsevier, 2021, 130, pp.108047. ⟨10.1016/j.ecolind.2021.108047⟩
Ecological Indicators
Ecological Indicators, Elsevier, 2021, 130, pp.108047. ⟨10.1016/j.ecolind.2021.108047⟩
In the environment, abiotic (climatic conditions, physico-chemical parameters), biotic (interactions between microorganisms, vegetation and fauna), and anthropogenic (stress, pollution) filters are driving the microbial diversity observed locally. A
Autor:
Eric C. Orenstein, Sakina‐Dorothée Ayata, Frédéric Maps, Érica C. Becker, Fabio Benedetti, Tristan Biard, Thibault de Garidel‐Thoron, Jeffrey S. Ellen, Filippo Ferrario, Sarah L. C. Giering, Tamar Guy‐Haim, Laura Hoebeke, Morten Hvitfeldt Iversen, Thomas Kiørboe, Jean‐François Lalonde, Arancha Lana, Martin Laviale, Fabien Lombard, Tom Lorimer, Séverine Martini, Albin Meyer, Klas Ove Möller, Barbara Niehoff, Mark D. Ohman, Cédric Pradalier, Jean‐Baptiste Romagnan, Simon‐Martin Schröder, Virginie Sonnet, Heidi M. Sosik, Lars S. Stemmann, Michiel Stock, Tuba Terbiyik‐Kurt, Nerea Valcárcel‐Pérez, Laure Vilgrain, Guillaume Wacquet, Anya M. Waite, Jean‐Olivier Irisson
Publikováno v:
Limnology and Oceanography
Limnology and Oceanography, 2022, 67 (8), pp.1647-1669. ⟨10.1002/lno.12101⟩
Orenstein, E C, Ayata, SD, Maps, F, Becker, É C, Benedetti, F, Biard, T, de Garidel-Thoron, T, Ellen, J S, Ferrario, F, Giering, S L C, Guy-Haim, T, Hoebeke, L, Iversen, M H, Kiørboe, T, Lalonde, JF, Lana, A, Laviale, M, Lombard, F, Lorimer, T, Martini, S, Meyer, A, Möller, K O, Niehoff, B, Ohman, M D, Pradalier, C, Romagnan, JB, Schröder, SM, Sonnet, V, Sosik, H M, Stemmann, L S, Stock, M, Terbiyik-Kurt, T, Valcárcel-Pérez, N, Vilgrain, L, Wacquet, G, Waite, A M & Irisson, JO 2022, ' Machine learning techniques to characterize functional traits of plankton from image data ', Limnology and Oceanography, vol. 67, no. 8, pp. 1647-1669 . https://doi.org/10.1002/lno.12101
Limnology And Oceanography (0024-3590) (Wiley), 2022-08, Vol. 67, N. 8, P. 1647-1669
LIMNOLOGY AND OCEANOGRAPHY
e-IEO. Repositorio Institucional Digital de Acceso Abierto del Instituto Español de Oceanografía
instname
Limnology and Oceanography, 2022, 67 (8), pp.1647-1669. ⟨10.1002/lno.12101⟩
Orenstein, E C, Ayata, SD, Maps, F, Becker, É C, Benedetti, F, Biard, T, de Garidel-Thoron, T, Ellen, J S, Ferrario, F, Giering, S L C, Guy-Haim, T, Hoebeke, L, Iversen, M H, Kiørboe, T, Lalonde, JF, Lana, A, Laviale, M, Lombard, F, Lorimer, T, Martini, S, Meyer, A, Möller, K O, Niehoff, B, Ohman, M D, Pradalier, C, Romagnan, JB, Schröder, SM, Sonnet, V, Sosik, H M, Stemmann, L S, Stock, M, Terbiyik-Kurt, T, Valcárcel-Pérez, N, Vilgrain, L, Wacquet, G, Waite, A M & Irisson, JO 2022, ' Machine learning techniques to characterize functional traits of plankton from image data ', Limnology and Oceanography, vol. 67, no. 8, pp. 1647-1669 . https://doi.org/10.1002/lno.12101
Limnology And Oceanography (0024-3590) (Wiley), 2022-08, Vol. 67, N. 8, P. 1647-1669
LIMNOLOGY AND OCEANOGRAPHY
e-IEO. Repositorio Institucional Digital de Acceso Abierto del Instituto Español de Oceanografía
instname
Plankton imaging systems supported by automated classification and analysis have improved ecologists' ability to observe aquatic ecosystems. Today, we are on the cusp of reliably tracking plankton populations with a suite of lab-based and in situ too
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b310387659399d19153332aae277f2ee
https://hal.univ-lorraine.fr/hal-03482282/document
https://hal.univ-lorraine.fr/hal-03482282/document
Publikováno v:
Functional Ecology
Functional Ecology, Wiley, 2019, 33 (9), pp.1758-1770. ⟨10.1111/1365-2435.13381⟩
Functional Ecology, Wiley, 2019, 33 (9), pp.1758-1770. ⟨10.1111/1365-2435.13381⟩
Large wood (LW) is a natural element of river environments and an integral component of many river restoration schemes to promote biodiversity. It is an important habitat in itself, but it also induces a wide range of hydraulic, hydrological, geomorp