Dr. Vanessa Lampe
FB 2: Marine Biogeochemie FE Biogeochemische Modellierung
Wissenschaftlerin in der Forschungseinheit Biogeochemische Modellierung
ORCID | ResearchGate | LinkedIn
Büro:
Gebäude 5 | Raum 5.514
Telefon: +49 431 600 1785
E-Mail: vlampe(at)geomar.de
Adresse:
Wischhofstraße 1-3
24148 Kiel
Forschungsinteressen
- Ökologie und Variabilität des Planktons mit Schwerpunkt auf den hohen Breiten
- Struktur von Planktongemeinschaften: Arten- und Größenzusammensetzung
- Modellierung von biogeoschemischen und Ökosystemprozessen
- Auswirkungen von Störungen wie Schiffsemissionen auf Planktonökosysteme
Projekte
Laufend
ICEBERG (EU Horizon, seit 2024)
Abgeschlossen
microARC (BMBF&NERC, 2018 - 2024)
Ausbildung und Werdegang
- Seit 2024: Wissenschaftlerin (PostDoc) in der Biogeochemischen Modellierung am GEOMAR
- 2018 - 2024: Promotion (Dr. rer. nat.), Christian-Albrechts-Universität zu Kiel/ GEOMAR
- 2015 - 2018: M.Sc. Biological Oceanography, Christian-Albrechts-Universität zu Kiel/ GEOMAR
- 2012 - 2015: B.Sc. Biologie, Georg-August-Universität Göttingen
Publikationen
Number of items: 7.
Articles in a Scientific Journal - peer-reviewed
Lampe, V.
, Hunter, A., Engel, A.
, Ward, B. A., Nöthig, E. M., Ellingsen, I. H. and Schartau, M.
(2024)
A Lagrangian model-based analysis of protist plankton variability and its impact on organic matter dynamics along transit pathways through the Fram Strait.
Journal of Geophysical Research: Oceans, 129
(10).
e2024JC021254.
DOI 10.1029/2024jc021254.
, Hunter, A., Engel, A.
, Ward, B. A., Nöthig, E. M., Ellingsen, I. H. and Schartau, M.
(2024)
A Lagrangian model-based analysis of protist plankton variability and its impact on organic matter dynamics along transit pathways through the Fram Strait.
Pelz, M. T., Schartau, M.
, Somes, C. J.
, Lampe, V.
and Slawig, T.
(2023)
A diffusion-based kernel density estimator (diffKDE, version 1) with optimal bandwidth approximation for the analysis of data in geoscience and ecological research.
Geoscientific Model Development, 16
(22).
pp. 6609-6634.
DOI 10.5194/gmd-16-6609-2023.
, Somes, C. J.
, Lampe, V.
and Slawig, T.
(2023)
A diffusion-based kernel density estimator (diffKDE, version 1) with optimal bandwidth approximation for the analysis of data in geoscience and ecological research.
Lampe, V., Nöthig, E. M. and Schartau, M.
(2021)
Spatio-temporal variations in community size structure of Arctic protist plankton in the Fram Strait.
Frontiers in Marine Science, 7
.
Art.Nr. 579880.
DOI 10.3389/fmars.2020.579880.
(2021)
Spatio-temporal variations in community size structure of Arctic protist plankton in the Fram Strait.
Theses - not published by a publisher
Lampe, V.
(2024)
Linking observations and modelling to advance our understanding of spatio-temporal variations in structure and productivity of Arctic protist plankton.
(PhD/ Doctoral thesis), Christian-Albrechts-Universität, Kiel, Germany, XII, 149 pp.
(2024)
Linking observations and modelling to advance our understanding of spatio-temporal variations in structure and productivity of Arctic protist plankton.
Lampe, V.
(2018)
The priming effect: can the microbial turn-over of deep-sea organic matter be stimulated?.
(Master thesis), Christian-Albrechts-Universität Kiel, Kiel, Germany, 58, XIX pp.
(2018)
The priming effect: can the microbial turn-over of deep-sea organic matter be stimulated?.
(Master thesis), Christian-Albrechts-Universität Kiel, Kiel, Germany, 58, XIX pp.
Reports - other reports
Schartau, M.
, Pahlow, M., Kemena, T. P.
, Lampe, V.
, Taucher, J.
and Seifert, M.
(2024)
New/refined parameterizations for modelling ocean alkalinization effects on biogeochemistry and plankton dynamics.
.
OceanNets Deliverable, D5.8
.
OceanNETs, Kiel, Germany, 34 pp.
DOI 10.3289/oceannets_d5.8.
, Pahlow, M., Kemena, T. P.
, Lampe, V.
, Taucher, J.
and Seifert, M.
(2024)
New/refined parameterizations for modelling ocean alkalinization effects on biogeochemistry and plankton dynamics.
Dataset
, Pahlow, M.
, Kemena, T. P.
, Lampe, V.
, Taucher, J.
and Seifert, M.
(2025)
OceanNETs Deliverable D5.8: New/refined parameterizations for modelling ocean alkalinization effects on biogeochemistry and plankton dynamics.