Professional summary
Yueming obtained an MSc in Biological Engineering from Chinese Academy of Science, where her studies included biostatistics, freshwater ecology and she received training of algae identification and culturing. She investigated the vertical patterns of phytoplankton and their influence factors in reservoirs. She then moved to Germany to pursue doctoral studies in Christian Albrechts University of Kiel, where she assessed potential impacts of multiple stressors on riverine phytoplankton community by ecohydrological models. Yueming obtained her PhD in 2019. After that, she joined Indo-German Centre for Sustainability (IGCS) as a postdoc fellow. Her work mainly focused on understanding the ecological state of restoration lakes in India and making video for hydrobiology lectures.
Yueming works as water quality modeller at UKCEH, Wallingford. Her research interests include using integrated models to assess the impacts of multiple stressors on freshwater ecosystem and river basin management. She has handled much of the freshwater macroinvertebrates data for the NERC project ChemPop to assist with tests and she brings considerable experience from researching aquatic biodiversity in China and Germany. She has experience of the QUESTOR water quality model, and applied the model in UK rivers under commissioned research funding for the Environment Agency. Yueming has contributed in a systematic literature review for the Defra QEIA project, and has conducted ecological and statistical analysis as well as mapping and modelling freshwater quality for European Nature-based Solution projects (Regreen and DeSCIPHER).
Qu Yueming et al. , (2023), Significant improvement in freshwater invertebrate biodiversity in all types of English rivers over the past 30 years. Science of the Total Environment, 905
L. Wijewardene, N Wu, Y Qu, K Guo, B Messyasz, S Lorenz, T Riis, U Ulrich, N Fohrer. Influences of pesticides, nutrients and local environmental variables on phytoplankton communities in lentic small water bodies in a German lowland agricultural area. 2021. Science of The Total Environment, 780,146481.
Y Qu, N Wu, B Guse, K Makareviciute, X Sun, N Fohrer. Riverine phytoplankton functional groups response to multiple stressors variously depending on hydrological periods. 2019. Ecological Indicators, 101, 41-49.
Y Qu, N Wu, B Guse, N Fohrer. Riverine phytoplankton shifting along a lentic-lotic continuum under hydrological, physiochemical conditions and species dispersal. 2018. Science of The Total Environment, 619, 1628-1636.
N Wu, Y Qu, B Guse, K Makareviciute, S To, T Riis, N Fohrer. Hydrological and environmental variables outperform spatial factors in structuring species, trait composition, and beta diversity of pelagic algae. 2018. Ecology and Evolution, 8(5), 2947-2961.
Y Qu, N Wu, K Makareviciute, B Guse, N Fohrer. Effects of land-use pattern and physiochemical conditions on phytoplankton communities in a German lowland catchment. 2018. Fundamental and Applied Limnology, 191(3), 175-187.