Faculty: Song Qian
Associate Professor
Ph.D. Duke University 1995
Research and Teaching Interests
- Environmental and ecological statistics
- Bayesian hierarchical models
- Water quality and watershed modeling
- Stream ecosystem response to disturbance
419.530.4230 | song.qian@utoledo.edu
ResearchRecent Publications
TeachingDownload Vitae (PDF)
Research
My research interest is in the development and application of quantitative methods for analyzing complex environmental and ecological data. An important feature of ecological study is that we use variables operating at different scales, some representing spatiotemporal scales and some representing conceptual scales. For example, regional annual means of temperature and precipitation represent local and instantaneous conditions; individual species compositions are observed and summarized to derive variables representing changes at a community or ecosystem level. In all cases, we observe data representing a fine spatiotemporal scale or at individual species level and we aggregate these observations to make inference at a larger spatiotemporal scale or at community level. Mathematically, the multiple levels in the data can be represented by the hierarchical structure of a Bayesian hierarchical/multilevel model. However, the full potential of the hierarchical modeling approach has yet to be explored. In the past five years, I have focused on using the Bayesian hierarchical modeling approach in several research areas:
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- Harmful algal blooms in western Lake Erie;
- Stream ecosystem response to watershed urbanization;
- Effects of climate changes reflected in phenological changes in biological and nonbiological measures;
- Regional nutrient criteria and water quality management;
- Watershed modeling using Bayesian SPARROW; and
- Statistical issues in chemical measurement methods (with an emphasis on ELISA).
I advise graduate students on thesis and dissertation research in:
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- Food web structure along a productivity gradient in Lake Erie (Bayesian networks modeling);
- Effects of conservation practices in controlling nutrient loss from agriculture fields (statistical causal inference);
- Effects of shoreline structure on nearshore fish community in Lake Erie (Bayesian generalized linear modeling;
- Detecting large fish target using hydro-acoustics (Bayesian hierarchical modeling);
- Long-term frog population dynamics in northwestern Ohio (multilevel modeling); and
- Assessing the potential of grass carp spawning in Lake Erie tributaries (Bayesian GLM and networks model).
Recent Publications
View Dr. Qian's Google Scholar page.
- The implications of Simpson's paradox for cross-scale inference among lakes. SS Qian, CA Stow, F Nojavan, J Stachelek, Y Cha, I Alameddine, ... Water research 163, 114855.
2019
- A global analysis of cladoceran body size and its variation linking to habitat, distribution
and taxonomy. EZ Rizo, S Xu, Q Tang, RDS Papa, HJ Dumont, SS Qian, BP Han. Zoological Journal of the Linnean Society 187 (4), 1119-1130. 2019
- Comparison of Monte-Carlo Simulations Versus Reverse-Tracking for Modeling Spawning
Locations of a Large Rheophilic-Spawning Fish. M Kelso, P Kocovsky, SS Qian. American Fisheries Society & The Wildlife Society 2019 Joint Annual Conference.
2019
- Total phosphorus-precipitation and Chlorophyll a-phosphorus relationships of lakes
and reservoirs mediated by soil iron at regional scale. Q Tang, L Peng, Y Yang, Q Lin, SS Qian, BP Han. Water research 154, 136-143 3. 2019
- Evaluating catchability in a large-scale gillnet survey using hydroacoustics: Making
the case for coupled surveys. MR DuFour, SS Qian, CM Mayer, CS Vandergoot. Fisheries research 211, 309-318. 2019
- Rethinking the lake Trophic State Index. F Nojavan, BJ Kreakie, JW Hollister, SS Qian. PeerJ. 2019
- Using Bayesian change point model to enhance understanding of the shifting nutrients-phytoplankton
relationship. Z Liang, SS Qian, S Wu, H Chen, Y Liu, Y Yu, X Yi. Ecological modelling 393, 120-126. 2019
- Improving estimates of built-up area from night time light across globally distributed
cities through hierarchical modeling. Z Ouyang, M Lin, J Chen, P Fan, SS Qian, H Park. Science of The Total Environment 647, 1266-1280 3. 2019
- Modeling framework to estimate spawning and hatching locations of pelagically-spawned
eggs. HS Embke, PM Kocovsky, T Garcia, CM Mayer, SS Qian. Canadian Journal of Fisheries and Aquatic Sciences, https://doi.org/10.1139 … 3.
2018
- “Asian carp” is societally and scientifically problematic. Let's replace it. SS Kocovsky, P. M. and Chapman, D.C. and Qian. Fisheries 43 (7), 311-316 5. 2018
- The effects of nutrients on stream invertebrates: a regional estimation by generalized propensity score. Z Ouyang, SS Qian, R Becker, J Chen. Ecological Processes 7 (21), doi.org/10.1186/s13717-018-0132-x. 2018
Teaching
At the graduate level, I teach two required courses: (1) Advanced environmental data management and (2) Advanced biostatistics on an annual basis. I also teach Environmental models and introduction to Bayesian statistics every other year. In addition I offer a number of special topics courses.
At the undergraduate level, I have taught biodiversity (an introductory biology course) and introduction to environmental science.