Items where Author is "Volmer, Henning"

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Article
Schwemmer, P. , Volmer, H. , Enners, L. , Reimers, H. C. , Binder, K. , Horn, S. ORCID: https://orcid.org/0000-0003-1637-1191, Adler, S. , Fox, A. D. and Garthe, S. , Research and Technology Centre (FTZ), University of Kiel, Hafentörn 1, 25761, Büsum, Germany, Research and Technology Centre (FTZ), University of Kiel, Hafentörn 1, 25761, Büsum, Germany, Research and Technology Centre (FTZ), University of Kiel, Hafentörn 1, 25761, Büsum, Germany, State Agency for Agriculture, Environment and Rural Areas of Schleswig-Holstein, Hamburger Chaussee 25, Flintbek, Germany, State Agency for Agriculture, Environment and Rural Areas of Schleswig-Holstein, Hamburger Chaussee 25, Flintbek, Germany, Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung, Wadden Sea Station Sylt, Hafenstraße 43, 25995, List, Germany, Swedish University of Agricultural Sciences, Department of Forest Resource Management, Division of Landscape Analysis, 901 83, Umeå, Swede, Department of Bioscience, Aarhus University, Grenåvej 14, 8410, Rønde, Denmark, Research and Technology Centre (FTZ), University of Kiel, Hafentörn 1, 25761, Büsum, Germany (2019)
Modelling distribution of common scoter (Melanitta nigra) by its predominant prey, the American razor clam (Ensis leei) and hydrodynamic parameters ,
Estuarine Coastal and Shelf Science, 225 .
doi:10.1016/j.ecss.2019.106260 , hdl:10013/epic.2a289ada-3add-45df-b8de-620a9879e286

Article
Schwemmer, P. , Adler, S. , Enners, L. , Volmer, H. , Kottsieper, J. , Ricklefs, K. , Stage, M. , Schwarzer, K. , Wittbrodt, K. , Reimers, H. C. , Binder, K. , Asmus, R. ORCID: https://orcid.org/0000-0003-3300-6065, Asmus, H. ORCID: https://orcid.org/0000-0002-7772-1303, Horn, S. ORCID: https://orcid.org/0000-0003-1637-1191, Schückel, U. , Kohlus, J. , Eskildsen, K. , Klingbeil, K. , Gräwe, U. and Garthe, S. (2019)
Modelling and predicting habitats for the neobiotic American razor clam Ensis leei in the Wadden Sea ,
Estuarine, Coastal and Shelf Science, 231 .
doi:10.1016/j.ecss.2019.106440 , hdl:10013/epic.66c45327-1e2c-414f-9016-575044f2a0a4

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