PD Dr. Markus Pahlow
Wissenschaftlicher Mitarbeiter in der Forschungseinheit Biogeochemische Modellierung
Büro:
Raum: 5-5.510
Tel.: +49 431 600-1907
E-Mail: mpahlow(at)geomar.de
Anschrift:
GEOMAR Helmholtz-Zentrum für Ozeanforschung Kiel
Wischhofstr. 1–3
24148 Kiel
Forschungsinteressen
- optimalitätsbasierte und adaptive Modellierung von Planktonorganismen und -ökosystemen
- Wechselwirkungen zwischen biotischen Planktonprozessen und biogeochemischen Kreisläufen
- Modellierung von Evolution und Erhaltung von Biodiversität in Plankton-ökosystemen
Turbulenz und Plankton
Ausbildung und Werdegang
- seit 2012 Wissenschaftlicher Mitarbeiter am GEOMAR | Helmholtz-Zentrum für Ozeanforschung Kiel
- 2007 – 2012 Postdoc am IFM-GEOMAR
- 2002 – 2006 Research Associate an der Dalhousie Universität, Halifax, Canada
- 2000 – 2001 NSERC fellow am Bedford Institute of Oceanography, Dartmouth, Canada
- 1999 Postdoc am AWI
- 1995 – 1998 Doktorand am AWI und an der Universität Bremen
- 1988 – 1995 Biologiestudium an der Universität Kassel, University of Maryland, und Universität Bremen
Projekte
- EMS FORE Internationales Helmholtz-Labor "Eastern Mediterranean Sea as a model for Future Ocean Research", ein deutsch-israelisches Gemeinschaftsprojekt
- DynaTrait, DFG Schwerpunktprogramm (SPP 1704) "Flexibility Matters: Interplay between Trait Diversity and Ecological Dynamics Using Aquatic Communities as Model Systems", Teilprojekt 13, Modelling seasonal vertical migration in marine zooplankton.
- SFB754, Climate-biogeochemistry interactions in the tropical ocean, phase 2: Teilprojekt B2, photoautotrophic responses to changes in nutrient stoichiometry (abgeschlossen)
- OSS2015, Ocean strategic services beyond 2015 (Siebtes Rahmenprogramm der EU): work package 22.3, limiting factors of phytoplankton growth (abgeschlossen)
Publikationen
Number of items: 75.
Articles in a Scientific Journal - peer-reviewed
, Landolfi, A. , Chien, C. T. , Pahlow, M. and Oschlies, A.
(2024)
Global impact of benthic denitrification on marine N2 fixation and primary production simulated by a variable-stoichiometry Earth system model.
Biogeosciences (BG), 21
(19).
pp. 4361-4380.
DOI 10.5194/bg-21-4361-2024.
![[thumbnail of fbae016.pdf]](https://oceanrep.geomar.de/style/images/fileicons/text.png)
(2024)
Zooplankton seasonal vertical migration in an optimality-based plankton ecosystem model.
Journal of Plankton Research, 46
(3).
pp. 295-306.
DOI 10.1093/plankt/fbae016.
, Pahlow, M., Schartau, M. , Li, N. and Oschlies, A.
(2023)
Effects of phytoplankton physiology on global ocean biogeochemistry and climate.
Science Advances, 9
(30).
Art.Nr. eadg1725..
DOI 10.1126/sciadv.adg1725.
, Pahlow, M., Anugerahanti, P. and Smith, S. L.
(2023)
FABM-NflexPD 2.0: testing an instantaneous acclimation approach for modeling the implications of phytoplankton eco-physiology for the carbon and nutrient cycles.
Geoscientific Model Development, 16
(1).
pp. 95-108.
DOI 10.5194/gmd-16-95-2023.
, Prowe, A. E. F. , Pahlow, M., Somes, C. J. , Chien, C. T. , Schartau, M. , Koeve, W. and Oschlies, A.
(2021)
Can top-down controls expand the ecological niche of marine N2 fixers?.
Frontiers in Microbiology, 12
.
Art.Nr. 690200.
DOI 10.3389/fmicb.2021.690200.
, Pahlow, M., Schartau, M. and Oschlies, A.
(2020)
Optimality-Based Non-Redfield Plankton-Ecosystem Model (OPEMv1.0) in the UVic-ESCM 2.9. Part II: Sensitivity Analysis and Model Calibration.
Geoscientific Model Development, 13
.
pp. 4691-4712.
DOI 10.5194/gmd-13-4691-2020.
, Arteaga, L. A. and Oschlies, A.
(2020)
Optimality-Based Non-Redfield Plankton-Ecosystem Model (OPEMv1.0) in the UVic-ESCM 2.9. Part I: Implementation and Model Behaviour.
Geoscientific Model Development, 13
.
pp. 4663-4690.
DOI 10.5194/gmd-13-4663-2020.
, Pahlow, M., Bushinsky, S. M. and Sarmiento, J. L.
(2020)
Nutrient Controls on Export Production in the Southern Ocean.
Global Biogeochemical Cycles, 33
(8).
pp. 942-956.
DOI 10.1029/2019gb006236.
Lebrato, M., Pahlow, M., Frost, J. R., Küter, M., Jesus Mendes, P., Molinero, J. C. and Oschlies, A.
(2019)
Sinking of Gelatinous Zooplankton Biomass Increases Deep Carbon Transfer Efficiency Globally.
Global Biogeochemical Cycles, 33
(12).
pp. 1764-1783.
DOI 10.1029/2019GB006265.
(2019)
Sinking of Gelatinous Zooplankton Biomass Increases Deep Carbon Transfer Efficiency Globally.
Global Biogeochemical Cycles, 33
(12).
pp. 1764-1783.
DOI 10.1029/2019GB006265.
(2019)
Comparison of two carbon-nitrogen regulatory models calibrated with mesocosm data.
Ecological Modelling, 411
.
Art.Nr. 108711.
DOI 10.1016/j.ecolmodel.2019.05.016.
(2018)
The role of microzooplankton trophic interactions in modelling a suite of mesocosm ecosystems.
Ecological Modelling, 368
.
pp. 169-179.
DOI 10.1016/j.ecolmodel.2017.11.013.
, Blasius, B. and Ryabov, A. B.
(2018)
Diel light cycle as a key factor for modelling phytoplankton biogeography and diversity.
Ecological Modelling, 384
.
pp. 241-248.
DOI 10.1016/j.ecolmodel.2018.06.022.
Marki, A. and Pahlow, M.
(2016)
Microzooplankton Stoichiometric Plasticity Inferred from Modeling Mesocosm Experiments in the Peruvian Upwelling Region.
Frontiers in Marine Science, 3
.
Art. No. 258.
DOI 10.3389/fmars.2016.00258.
(2016)
Microzooplankton Stoichiometric Plasticity Inferred from Modeling Mesocosm Experiments in the Peruvian Upwelling Region.
Frontiers in Marine Science, 3
.
Art. No. 258.
DOI 10.3389/fmars.2016.00258.
(2016)
Modeled Chl:C ratio and derived estimates of phytoplankton carbon biomass and its contribution to total particulate organic carbon in the global surface ocean.
Global Biogeochemical Cycles, 30
(12).
pp. 1791-1810.
DOI 10.1002/2016GB005458.
(2016)
Box-modeling of the impacts of atmospheric nitrogen deposition and benthic remineralization on the nitrogen cycle of the eastern tropical South Pacific.
Biogeosciences (BG), 13
.
pp. 4985-5001.
DOI 10.5194/bg-13-4985-2016.
, Merico, A., Acevedo-Trejos, E., Sasai, Y., Yoshikawa, C., Sasaoka, K., Fujiki, T., Matsumoto, K. and Honda, M. C.
(2016)
Flexible phytoplankton functional type (FlexPFT) model: size-scaling of traits and optimal growth.
Journal of Plankton Research, 38
(4).
pp. 977-992.
DOI 10.1093/plankt/fbv038.
(2016)
Optimality-based Trichodesmium diazotrophy in the North Atlantic subtropical gyre.
Journal of Plankton Research, 38
(4).
pp. 946-963.
DOI 10.1093/plankt/fbw047.
, Schmitz, R. A., Callbeck, C. M., Engel, A. , Hauss, H. , Kanzow, T., Kiko, R. , Lavik, G., Loginova, A. N. , Melzner, F., Meyer, J., Neulinger, S. C., Pahlow, M., Riebesell, U. , Schunck, H., Thomsen, S. and Wagner, H.
(2016)
Water column biogeochemistry of oxygen minimum zones in the eastern tropical North Atlantic and eastern tropical South Pacific Oceans.
Biogeosciences (BG), 13
.
pp. 3585-3606.
DOI 10.5194/bg-13-3585-2016.
Arteaga, L., Pahlow, M. and Oschlies, A.
(2015)
Global monthly sea surface nitrate fields estimated from remotely sensed sea surface temperature, chlorophyll, and modeled mixed layer depth.
Geophysical Research Letters, 42
(4).
pp. 1130-1138.
DOI 10.1002/2014GL062937.
![[thumbnail of Data Set S1]](https://oceanrep.geomar.de/style/images/fileicons/other.png)
(2015)
Global monthly sea surface nitrate fields estimated from remotely sensed sea surface temperature, chlorophyll, and modeled mixed layer depth.
Geophysical Research Letters, 42
(4).
pp. 1130-1138.
DOI 10.1002/2014GL062937.
(2015)
What prevents nitrogen depletion in the oxygen minimum zone of the eastern tropical South Pacific?.
Biogeosciences (BG), 12
.
pp. 1113-1130.
DOI 10.5194/bg-12-1113-2015.
(2014)
Global patterns of phytoplankton nutrient and light colimitation inferred from an optimality-based model.
Global Biogeochemical Cycles, 28
(7).
pp. 648-661.
DOI 10.1002/2013GB004668.
, Pahlow, M., Dutkiewicz, S. and Oschlies, A.
(2014)
How important is diversity for capturing environmental-change responses in ecosystem models?.
Biogeosciences (BG), 11
.
pp. 3397-3407.
DOI 10.5194/bg-11-3397-2014.
(2014)
Leaving misleading legacies behind in plankton ecosystem modelling.
Journal of Plankton Research, 36
(3).
pp. 613-620.
DOI 10.1093/plankt/fbu011.
and Oschlies, A.
(2013)
Optimality-based model of phytoplankton growth and diazotrophy.
Marine Ecology Progress Series, 489
.
pp. 1-16.
DOI 10.3354/meps10449.
(2013)
Optimal allocation backs Droop’s cell-quota model.
Marine Ecology Progress Series, 473
.
pp. 1-5.
DOI 10.3354/meps10181.
(2012)
High sensitivity of ultra-oligotrophic marine ecosystems to atmospheric nitrogen deposition.
Geophysical Research Letters, 39
.
L05601.
DOI 10.1029/2011GL050606.
, Pahlow, M. and Oschlies, A.
(2012)
Controls on the diversity-productivity relationship in a marine ecosystem model.
Ecological Modelling, 225
.
pp. 167-176.
DOI 10.1016/j.ecolmodel.2011.11.018.
, Pahlow, M., Dutkiewicz, S., Follows, M. and Oschlies, A.
(2012)
Top-down control of marine phytoplankton diversity in a global ecosystem model.
Progress in Oceanography, 101
.
pp. 1-13.
DOI 10.1016/j.pocean.2011.11.016.
, Merico, A. and Wirtz, K. W.
(2011)
Optimality-based modeling of planktonic organisms.
Limnology and Oceanography, 56
(6).
pp. 2080-2094.
DOI 10.4319/lo.2011.56.6.2080.
, Pitt, K. A., Jones, D. O. B., Molinero, J. C. and Condon, R. H.
(2011)
Depth attenuation of organic matter export associated with jelly falls.
Limnology and Oceanography, 56
.
pp. 1917-1928.
DOI 10.4319/lo.2011.56.5.1917.
, Pahlow, M. , Yool, A. and Matear, R. J.
(2010)
Climate engineering by artificial ocean upwelling - channelling the sorcerer's apprentice.
Geophysical Research Letters, 37
.
L04701.
DOI 10.1029/2009GL041961.
(2010)
Model of optimal current feeding in zooplankton.
Marine Ecology Progress Series, 403
.
pp. 129-144.
DOI 10.3354/meps08466.
(2010)
Dynamic chlorophyll and nitrogen: carbon regulation in algae optimizes instantaneous growth rate.
Marine Ecology Progress Series, 402
.
pp. 81-96.
DOI 10.3354/meps08333.
(2009)
Chain model of phytoplankton P, N and light colimitation.
Marine Ecology Progress Series, 376
.
DOI 10.3354/meps07748.
(2009)
Optimal uptake kinetics: physiological acclimation explains the pattern of nitrate uptake by phytoplankton in the ocean.
Marine Ecology Progress Series, 384
.
pp. 1-12.
DOI 10.3354/meps08022.
, Vezina, A. F., Casault, B., Maass, H., Malloch, L., Wright, D. G. and Lu, Y.
(2008)
Adaptive model of plankton dynamics for the North Atlantic.
Progress in Oceanography, 76
(2).
pp. 151-191.
DOI 10.1016/j.pocean.2007.11.001.
(2005)
Linking chlorophyll-nutrient dynamics to the Redfield N:C ratio with a model of optimal phytoplankton growth.
Marine Ecology Progress Series, 287
.
pp. 33-43.
DOI 10.3354/meps287033.
and Vézina, A. F.
(2003)
Adaptive model of DOM dynamics in the surface ocean.
Journal of Marine Research, 61
(1).
pp. 127-146.
DOI 10.1357/002224003321586435.
and Wolf-Gladrow, D.
(1997)
The impact of cell shape and chain formation on nutrient acquisition of marine diatoms.
Limnology and Oceanography, 42
.
pp. 1660-1672.
and Wolf-Gladrow, D. A.
(1997)
Impact of cell shape and chain formation on nutrient acquisition by marine diatoms.
Limnology and Oceanography, 42
(8).
pp. 1660-1672.
DOI 10.4319/lo.1997.42.8.1660.
Articles in a Scientific Journal - without review
, Pahlow, M. , Somes, C. J. , Schartau, M. and Oschlies, A.
(Submitted)
Ensemble simulation of the Last Glacial Maximum marine biogeochemistry and atmospheric pCO 2 drawdown due to the soft-tissue biological carbon pump.
EGUsphere
.
DOI 10.5194/egusphere-2025-4907.
Presentations
and Pahlow, M.
(2017)
Optimality-based zooplankton modelling in mesocosm experiments.
[Talk]
In: Priority Program 1704 DynaTrait International conference. , 09.13.10.2017, Hannover, Germany .
, Andersen, K. H., Visser, A. W., Kiorboe, T., Chiba, S., Su, B., Pahlow, M. and Oschlies, A.
(2016)
Model-based analysis of zooplankton feeding strategies using a global ecosystem model.
[Talk]
In: Mini-Workshop on trait-based modelling. , 15.03.2016, Hamburg, Germany .
, Landolfi, A. , Rabouille, S., Koeve, W. , Pahlow, M. and Somes, C. J.
(2015)
Phosphorus Controls on Marine N2 Fixation.
[Talk]
In: Goldschmidt Conference 2015. , 16.-21.08.2015, Prague, Czech Republic. .
, Andersen, K. H. , Visser, A. W. , Kiorboe, T. , Pahlow, M. and Oschlies, A.
(2015)
Trade off-based zooplankton feeding strategies in a global model.
[Talk]
In: Obserseminar AG Ökologie / Ökosystem-Modellierung. , 05.06.2015, Potsdam, Germany .
, Andersen, K. H. , Visser, A. W. , Kiørboe, T. , Su, B., Pahlow, M. and Oschlies, A.
(2015)
Trade off-based zooplankton feeding strategies in a global model.
[Talk]
In: Trait-based approaches to Ocean Life. , 05.-08.10.2015, Waterville Valley, NH, USA .
(2014)
Optimality-based modelling of the effect of nutrient stoichiometry on mesocosm food web succession.
[Talk]
In: IMBER Open Science Conference FUTURE OCEAN. , 23.-27.06.2014, Bergen, Norway .
(2014)
Optimality-based modelling of the effect of nutrient stoichiometry on mesocosm food web succession.
[Talk]
In: AMEMR IV Future Challenges Symposium. , 30.06.-03.07.2014, Plymouth, UK .
, Pahlow, M., Follows, M., Dutkiewicz, S. and Oschlies, A.
(2012)
The Darwin Model - understanding global plankton communities.
[Talk]
In: Opening of the VKR Centre of Excellence "Centre for Ocean Life". , 02.02.2012, Charlottenlund, Denmark .
, Jones, D. O. B., Condon, R. H. and Molinero, J. C.
(2011)
The fate of gelatinous zooplankton particulate organic matter (jelly-POM) in the biological pump: a modelling study.
[Talk]
In: ASLO Aquatic Sciences Meeting. , 13.-18.02.2011, San Juan, Puerto Rico, USA .
(2011)
Model of Optimal Nitrogen Fixation.
[Invited talk]
In: 3. International Workshop on Global Change Projection: Modeling, Intercomparison, and Impact Assessment. , 09.-11.03.2011, Tsukuba, Japan .
, Pahlow, M., Oschlies, A. , Dutkiewicz, S. and Follows, M.
(2011)
Marine phytoplankton diversity: top-down control and the diversity-productivity relationship.
[Talk]
In: 3. Advances in Marine Ecosystem Modelling Research Symposium (AMEMR III 'The Next Generation'). , 27.-30.06.2011, Plymouth, UK .
(2010)
Model of Zooplankton Optimal Current Feeding.
[Talk]
In: FB2 Seminar, Leibniz-Institute of Marine Sciences (IFM-GEOMAR). , 11.01.2010, Kiel, Germany .
, Pahlow, M., Follows, M., Dutkiewicz, S. and Oschlies, A.
(2010)
Effects of zooplankton feeding strategies on community structure in a simple plankton model.
[Talk]
In: Ocean Sciences Meeting 2010 "Plankton Grazing Rates in the Sea: So Many Methods, So Much Learned, So Much To Do". , 22.02.-26.02.2010, Portland, Oregon, USA .
(2009)
Adaptive Modelling of Plankton Dynamics.
[Invited talk]
In: Workshop Theoretical Biology. , 23.02, Plön .
(2009)
Modelling the role of DOC in the global carbon cycle.
[Other]
In: ASLO Aquatic Sciences Meeting 2009. , 28.01, Nice, France .
(2008)
Chain model of Phytoplankton Optimal Utilisation of N, P and Light.
[Talk]
In: Advances in Marine Ecosystem Modelling Research Symposium 2008. , 25.06, Plymouth, U.K. .
(2007)
Adaptive Plankton Model for the North Atlantic.
[Talk]
In: FB2 Seminar, Leibniz-Institute of Marine Sciences (IFM-GEOMAR). , 21.05.2007, Kiel, Germany .
(2007)
Motions in Mixed Layers: Dynamic vs. Steady State Simulations.
[Talk]
In: FB2 Seminar, Leibniz-Institute of Marine Sciences (IFM-GEOMAR). , 05.11.2007, Kiel, Germany .
Conference posters
(2018)
Finding Key BIO Traits in BIOgeochemical Modelling.
[Poster]
In: DynaTrait Annual Meeting 2018. , 8.–11.10.2018, Potsdam .
and Pahlow, M.
(2015)
Diversity effects of trait-based zooplankton feeding interactions in a global ecosystem model.
[Poster]
In: DynaTrait Annual Meeting. , 14.-17.09.2015, Hannover, Germany .
(2013)
Modelling responses in mesocosm food web succession to changes in nutrient stoichiometry.
[Poster]
In: OCB Summer Science Workshop 2013. , 22.-25.07.2013, Woods Hole, MA, USA .
, Pahlow, M. and Oschlies, A.
(2013)
Phytoplankton community effects on productivity changes in a global reduced mixing scenario.
[Poster]
In: 45. International Liege Colloquium on Ocean Dynamics: The variability of primary production in the ocean: from the synoptic to the global scale. , 13.-17.05.2013, Liege, Belgium .
(2012)
Light and nutrient colimitation in the global ocean.
[Poster]
In: EGU General Assembly 2012. , 22.-27.04.2012, Vienna, Austria .
, Pahlow, M., Dutkiewicz, S., Follows, M. and Oschlies, A.
(2012)
Top-down control of marine phytoplankton diversity and ecosystem functioning in a global ecosystem model.
[Poster]
In: ClimECO3 Summer school. , 23.-28.07.2012, Ankara, Turkey .
(2010)
Model of Zooplankton Optimal Current Feeding.
[Poster]
In: Ocean Sciences Meeting 2010 "Oxygen Minimum Zones and Climate Change: Observations and Prediction IV". , 22.02.-26.02.2010, Portland, Oregon, USA .
, Pahlow, M., Dutkiewicz, S. , Follows, M. and Oschlies, A.
(2010)
Top-down control of biodiversity.
[Poster]
In: ClimECO2 summer school. , 23.-27.08.2010, IUEM, Brest, France .
, Pahlow, M., Dutkiewicz, S. , Follows, M. and Oschlies, A.
(2010)
Top-down control of biodiversity.
[Poster]
In: Advanced School on Complexity, Adaptation and Emergence in Marine Ecosystems, ICTP, Miramare. , 18.10.2010, Triest, Italy .
and Pahlow, M.
(2009)
Modelling oceanic CO2 uptake: the relevance of zooplankton grazing.
[Poster]
In: Responses, Risks and Adaptation to Climate Change. , 01.05.2009, Philadelphia, USA .
, Oschlies, A. and Pahlow, M.
(2009)
Finding the optimal strategy: zooplankton feeding strategies as traits in a plankton model.
[Poster]
In: ASLO Aquatic Sciences Meeting. , 27.01, Nice, France .
Theses - not published by a publisher
(2016)
Optimality-based modelling of marine plankton processes.
(Professorial dissertation), Christian-Albrechts-Universität Kiel, Kiel, Germany, 192 pp.
Reports - other reports
, 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.
Software
![[thumbnail of UVic-updates-opem-1.0.tar.bz2]](https://oceanrep.geomar.de/style/images/fileicons/archive.png)
(2020)
UVic-updates-opem: Optimality-based Plankton Ecosystem Model (OPEM v1.0) for the UVic-ESCM.
DOI 10.3289/SW_1_2020.
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.
[Dataset]
