Dr. Jens Kiesel

Postdoc at Uni Kiel

Portrait of Dr. Jens Kiesel

Postdoc at Uni Kiel

Leibniz Institute of Freshwater Ecology and Inland Fisheries

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Interests

Hydrologic and hydraulic modelling Climate change uncertainty Spatial programming

Education

  • PhD in Geography, 2007-2014
    University of Kiel, Germany
  • Diploma in Civil Engineering, 2000-2006
    TU Darmstadt, UNSW Sydney, Addis Ababa University

Jens Kiesel is a Hydrologist at the Leibniz Institute of Freshwater Ecology and Inland Fisheries (IGB). Jens has a long expertise on environmental modelling which he has applied in research and international consulting. His modelling experience includes hydrology, hydraulics, erosion and sediment transport as well as habitat modelling on various scales and ecoregions.

Career

  • since 2014 - Research Scientist (part time) at Leibniz Institute of Freshwater Ecology and Inland Fisheries
  • since 2009 - Freelance Consultant
  • 2012-2014 - Research Associate at the Department of Hydrology and Water Resources Management, Kiel University

Reviewer activities

  • Journal referee: Advances in Geosciences, Hydrological Processes, Hydrological Sciences Journal, Ecohydrology and Hydrobiology, Ecological Indicators, Agricultural Water Management, Water, River Research and Applications, Computers and Geosciences, Journal of Hydrology, Hydrology and Earth System Sciences, Environmental Modelling and Software, International Journal of River Basin Management, PeerJ, Frontiers

Projects

Publications (7)

Disentangling spatio-temporal impacts of multiple environmental factors on the global discharge regime (2024) · Earth’s Future, 12, e2023EF004267

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Hydrography90m: A new high-resolution global hydrographic dataset (2022) · Earth System Science Data, 14, 4525–4550

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Revisiting global trends in freshwater insect biodiversity (2021) · WIREs Waters, 2021;8:e1506

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Climate model variability leads to uncertain predictions of the future abundance of stream macroinvertebrates (2020) · Scientific Reports, 10, 2520

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High-resolution stream network delineation using digital elevation models: assessing the spatial accuracy (2018) · PeerJ Preprints, 6, e27109v1

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A high-resolution streamflow and hydrological metrics dataset for ecological modeling using a regression model (2018) · Scientific Data, 5, 180224

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Projected effects of Climate-change-induced flow alterations on stream macroinvertebrate abundances (2018) · Ecology and Evolution, 8, 3393-3409

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