JOURNAL
ARTICLES
Borsuk,
M. E.,
T. A. Larsen, J. Lienert, and M. Maurer. Using decision
analysis to chart a path for emerging toilet technology. Environmental Science & Technology, in press.
Mieleitner, J., M. E. Borsuk, H.-R. Bürgi, and P. Reichert. Identifying functional groups of phytoplankton using data of three
lakes of different trophic state. Aquatic Sciences. In press.
Stow, C. A., K. H. Reckhow, S. S. Qian, E. C. Lamon, G. B.
Arhonditsis, M. E. Borsuk, and D.
Seo. Evaluating water quality model uncertainty for adaptive
TMDL implementation. JAWRA. In press
Tomassini, L., P. Reichert, R. Knutti,
T. F. Stocker, and M. E. Borsuk. Robust Bayesian uncertainty analysis of climate system properties
using Markov Chain Monte Carlo methods. Journal of Climate, in press.
Fenner, K., V. Lanz, M. Scheringer, and
M. E. Borsuk. Relating atrazine degradation rate in soil to environmental conditions:
implications for global fate modeling. Environmental Science & Technology 41: 2840-2846
Spörri, C., M. E. Borsuk, I. Peters, and P.
Reichert. 2007. The economic impacts of river rehabilitation: a
regional input-output analysis. Ecological
Economics 62: 341 – 351.
Schweizer, S., M. E.
Borsuk, and P. Reichert. 2007. Predicting the morphological and hydraulic
consequences of river rehabilitation. River
Research and Applications 23: 303–322
Schweizer, S., M. E.
Borsuk, I. Jowett, and P. Reichert. 2007.
Predicting joint frequency distributions of depth and velocity for instream
habitat assessment. River Research and
Applications 23: 287–302.
Reichert, P., M. E.
Borsuk, M. Hostmann, S. Schweizer, C. Spörri, K. Tockner and B. Truffer.
2007. Concepts of decision support for river rehabilitation. Environmental
Modelling & Software 22: 188-201.
Rieckermann, J., M.
E. Borsuk, and W. Gujer. 2006. Using decision analysis to determine optimal
experimental design for monitoring sewer exfiltration with tracers. Water Science & Technology 54 (6-7):
161-168.
Borsuk, M. E., P. Reichert,
A. Peter, E. Schager, and P. Burkhardt-Holm. 2006. Assessing the decline of
brown trout (Salmo trutta) in Swiss rivers using a Bayesian probability
network. Ecological Modelling 192:
224-244.
Borsuk, M. E. and L.
Tomassini. 2005. Uncertainty, imprecision, and the precautionary principle in
climate change assessment. Water Science
& Technology 52(6): 213-225.
Reichert, P. and M. E. Borsuk. 2005. Does high forecast uncertainty preclude effective
decision support? Environmental Modelling
& Software. 20: 991-1001
Hostmann, M., B. Truffer, P. Reichert and M. E. Borsuk. 2005. Stakeholder values
in decision support for river rehabilitation. Archiv für Hydrobiologie (Large Rivers Supplement 15) 155:
491-506.
Rieckermann, J., M. E. Borsuk, P. Reichert, W. Gujer. 2005. A novel tracer method for
quantifying sewer exfiltration. Water
Resources Research 41: W05013, doi:10.1029/2004WR003699.
Borsuk, M. E., C. A. Stow,
and K. H. Reckhow. 2004. A Bayesian network of eutrophication models for
synthesis, prediction, and uncertainty analysis. Ecological Modelling 173: 219-239.
Borsuk, M. E. 2004.
Predictive assessment of fish health and fish kills in the Neuse River
estuary using the elicited judgment of scientific experts. Human & Ecological Risk Assessment 10: 415-434.
Borsuk, M. E., C. A. Stow,
and K. H. Reckhow. 2004. The confounding effect of flow on estuarine response
to nitrogen loading. Journal of Environmental
Engineering 130: 605-614.
Borsuk, M. E., C. A. Stow,
and K. H. Reckhow. 2003. Integrated approach to total maximum daily load
development for the Neuse
River estuary using a
Bayesian probability network model (Neu-BERN). Journal of Water Resources Planning and Management 129: 271-282.
Stow, C.A., M. E. Borsuk, and K. H. Reckhow. 2003. Comparison of estuarine
water quality models for total maximum daily load development in the Neuse
River Estuary. Journal of Water Resources
Planning and Management 129: 307-314.
Stow, C. A. and M. E.
Borsuk. 2003. Assessing TMDL effectiveness using flow-adjusted
concentrations: A case study of the
Neuse River, North Carolina. Environmental
Science & Technology 37: 2043-2050.
Stow, C.A. and M. E. Borsuk. 2003. Enhancing causal assessment of estuarine
fishkills using graphical models. Ecosystems
6: 11-19.
Qian, S. S., C. A. Stow, and M. E. Borsuk. 2003. On Monte Carlo
methods for Bayesian inference. Ecological
Modelling 159: 269-277.
Borsuk, M. E., S. P.
Powers, and C. H. Peterson. 2002. A survival model of the effects of
bottom-water hypoxia on the density of an estuarine clam (Macoma balthica). Canadian
Journal of Fisheries and Aquatic Sciences 59: 1266-1274.
Borsuk, M. E., C. A. Stow,
and K. H. Reckhow. 2002. Predicting the frequency of water quality standard
violations: A probabilistic approach for
TMDL development. Environmental Science
& Technology 36: 2109-2115.
Stow, C. A., M. E.
Borsuk, and K. H. Reckhow. 2002. TMDL development in the Neuse River
watershed: An imperative for adaptive management. Water Resources Update 122: 16-26.
Borsuk, M. E., C. A. Stow,
D. Higdon, and K. H. Reckhow. 2001. A Bayesian hierarchical model to predict
benthic oxygen demand from organic matter loading in estuaries and coastal
zones. Ecological Modelling 143:
165-181.
Borsuk, M. E., C. A. Stow,
R. A. Luettich, Jr., H. W. Paerl, J. L. Pinckney. 2001. Modeling oxygen
dynamics in an intermittently stratified estuary: Estimation of process rates
using field data. Estuarine, Coastal and Shelf Science 52: 33-49.
Stow, C. A., M. E.
Borsuk, and D. W. Stanley. 2001. Long-term
changes in watershed nutrient inputs and riverine exports in the Neuse River,
North Carolina. Water Research 35:
1489-1499.
Borsuk, M. E., R. T. Clemen,
L. A. Maguire, and K. H. Reckhow. 2001. Stakeholder values and scientific
modeling in the Neuse
River watershed. Group Decision and Negotiation 10:
355-373.
Qian, S. S., M. E.
Borsuk, and C. A. Stow. 2000.
Seasonal and long-term trend decomposition along a spatial gradient in
the Neuse River watershed. Environmental
Science and Technology 34: 4474-4482.
Stow, C. A. and M. E.
Borsuk. 2000. An examination of
long-term nutrient data in the Neuse
River watershed. Water Resources Research Institute of the University of North Carolina. Report No. 325-E.
Borsuk, M. E. and C. A.
Stow. 2000. Bayesian parameter estimation in a mixed-order model of BOD decay. Water Research 34: 1830-1836.
BOOK
CHAPTERS
Borsuk, M. E. Ecological informatics: Bayesian networks. A
chapter in the Encyclopedia of Ecology
to be published by Elsevier in 2008.
Borsuk, M. E. Ecological models: Statistical methods. A
chapter in the Encyclopedia of Ecology
to be published by Elsevier in 2008.
Borsuk, M. E. and D. C. Lee. Stochastic population dynamic
models as probability networks. A chapter in the Handbook of Ecological Modelling and Informatics to be published by
WIT in 2007.
Stow, C. A., M. E.
Borsuk, and K. H. Reckhow. 2007. Ecosystem risk assessment: The Neuse River
Estuary, North Carolina.
Risk Assessment for Environmental Health.
Robson, M. and W. Toscano (eds.), John Wiley & Sons: San Francisco, CA.