Dr. Katherine Irving
Dr. Katherine Irving is a Scientist specializing in the relationship between the distribution of river species and their environment. Her Ph.D. work dealt with the role of hydrology in Species’ Distribution Models (SDMs) on benthic macroinvertebrates. This work involved developing SDM methodology by creating a hydrologic dataset, optimizing variable selection and testing the performance of existing hydrological datasets. Her current research with SCCWRP focuses on the effects of hydrologic alteration through the development of flow-ecology models, aiming to conserve the health of Californian streams.
She received her Ph.D. from Berlin’s Liebniz Institute for Freshwater Ecology and Inland Fisheries, her M.S. in freshwater and marine ecology from Queen Mary University of London, and her B.S. in marine biology from the University of Plymouth. She joined at SCCWRP in 2019.
Ph.D., Leibniz Institute of Freshwater Ecology and Inland Fisheries Department of Ecosystem Research, Berlin, Germany, 2019.
M.Sc., freshwater and marine ecology with distinction, 2015.
B.Sc., (Hons) marine biology, 2008.
PhD Candidate, Leibniz Institute of Freshwater Ecology and Inland Fisheries (IGB), Berlin, 2015-2019.
Science Divemaster, Operation Wallacea, Tela, Honduras, 2014.
Microplastic Research Intern, Archipelagos Institute of Marine Conservation, Samos, Greece, 2013.
Assistant Ecologist, Hesketh Ecology, Cumbria, UK, 2013.
Selected Presentations and Conference Proceedings
Symposium for European Freshwater Sciences (SEFS11) 2019, “Disentangling the influence of climatic and hydrologic predictor variables on benthic macroinvertebrate distribution”, Zagreb, Croatia, July 2019
Symposium for Freshwater Sciences (SFS), 2018, Identifying and applying an optimum set of environmental variables in species distribution models , Detroit, USA, May 2018
Symposium for European Freshwater Sciences (SEFS10), Daily stream flow and hydrological metrics for Germany, Olomouc, CZ, July 2017
Irving K, Jähnig SC. Kuemmerlen M, 2019. Identifying and applying an optimum set of environmental variables in species distribution models. Inland Waters. DOI: 10.1080/20442041.2019.1653111. in press
Irving K, Kuemmerlen M, Kiesel J, Kakouei K, Domisch S, Jähnig SC. 2018. A high- resolution streamflow and hydrological metrics dataset for ecological modeling using a regression model [Data Descriptor].Scientific Data. 5:180224. doi: 10.1038/sdata.2018.224
Journal ArticlesIrving, KS., Kuemmerlen, M., Kiesel, J., Kakouei, K., Domisch, S., Jaehnig, SC. Daily stream flow and hydrological metrics for Germany, as predicted by a simple regression model. Sci. Data (in press)
Kakouei, K., Kiesel, J., Domisch, S., Irving KS, Jähnig, SC., Kail, J. Projected effects of climate change‐induced flow alterations on stream macroinvertebrate abundances. Ecol Evol. 2018;8:3393–3409. https://doi.org/10.1002/ece3.3907
Irving K., Μiliou Α., Vasic M., Sainz N., Anderson L & Weatherhead W. 2014. Preliminary assessment of microplastic fibre content in Aegean Sea epipelagic fish. Proceedings of the 5th environmental conference of Macedonia. March 2014, Thessaloniki (p. 61).