Reports
An Assessment of Opportunities, Barriers, and Needs to Enabling Ensemble Watershed Modelling in the Canadian Great Lakes
Comparing and Evaluating Phosphorus Offsetting Programs in Ontario: Findings and Recommendations
Comparing and Evaluating Phosphorus Offsetting Programs in Ontario: Literature Review
Journal Publications
* denotes supervised HQP
45) Mazumder*, B., Oswald, C.J., Cartwright, L.A. and Wellen, C., 2026. Salt to stream: a process-based integrated watershed model for urban stream chloride from winter salts using SWMM. Water Quality Research Journal, p.wqrj2026081.
44) Arhonditsis, G., Dufourq, E., Dutta, M.K., Huang, J., Huettmann, F., Johnson, C.A., Kim, D.K., Staiano, A., Teodoro, A.C., Wellen, C. and Wu, F., 2026. Shaping the future of computational ecology and ecological data science: An editorial perspective from ecological informatics. Ecological Informatics, p.103678.
43) Oswald, C., Melles, S., Gilbride, K., Goitom, E., Ariano, S., Johnston, A., Hataley, E., Tehrani, A., Dannah, N., Aqeel, H. and Wellen, C., 2025. Identification of sentinel upstream community sites for wastewater surveillance of SARS-CoV-2 in a large urban area. Water Research, 284, p.123958.
42) Pandit, A., Hogan, S., Mahoney, D.T., Ford, W.I., Fox, J.F., Wellen, C. and Husic, A., 2025. Establishing performance criteria for evaluating watershed-scale sediment and nutrient models at fine temporal scales. Water Research, 274, p.123156.
41) Biagi*, K.M., Pardy*, A., Luymes, M., Mazumder*, B., Thomas, J.L., Sorichetti, R.J. and Wellen, C.C., 2025. Phosphorus mass balance of 11 temperate agricultural headwater catchments: accumulating and depleting watersheds exhibit contrasting stream load patterns. Environmental Research: Water, 1(1), p.015003.
40) Phillips*, A.K., Mandal*, S., Mohamed, M., Sorichetti, R.J., Ross, C.A., Thomas, J.L. and Wellen, C.C., 2024. Is comprehensive event sampling necessary for constraining process models of water quality? A comparison of high and low frequency phosphorus sampling programs for constraining the HYPE water quality model. Journal of Hydrology, 639, p.131502.
39) Ross*, C.A., Phillips*, A.K., Gospodyn*, L., Oswald, C.J., Wellen, C.C. and Sorichetti, R.J., 2023. Improving the representation of stream water sources in surrogate nutrient models with water isotope data. Science of The Total Environment, 892, p.164544.
38) Arora, B., Kuppel, S., Wellen, C., Oswald, C., Groh, J., Payandi-Rolland, D., Stegen, J. and Coffinet, S., 2023. Building Cross-Site and Cross-Network collaborations in critical zone science. Journal of Hydrology, 618, p.129248.
37) Gospodyn*, L., Wellen, C., Sorichetti, R.J. and Mundle, S.O., 2023. Using stable water isotopes to evaluate water flow and nonpoint source pollutant contributions in three southern Ontario agricultural headwater streams. Hydrological Processes, 37(1), p.e14802.
36) Ross*, C.A., Moslenko*, L.L., Biagi*, K.M., Oswald, C.J., Wellen, C.C., Thomas, J.L., Raby, M. and Sorichetti, R.J., 2022. Total and dissolved phosphorus losses from agricultural headwater streams during extreme runoff events. Science of The Total Environment, 848, p.157736.
35) Burdett*, H. and Wellen, C., 2022. Statistical and machine learning methods for crop yield prediction in the context of precision agriculture. Precision agriculture, 23(5), pp.1553-1574.
34) Yousif*, M., Burdett*, H., Yousif, M., Burdett, H., Wellen, C., Mandal, S., Arabian, G., Smith, D. and Sorichetti, R.J., 2022. An innovative approach to correct data from in-situ turbidity sensors for surface water monitoring. Environmental Modelling & Software, 155, p.105461. Mandal*, S., Arabian, G., Smith, D. and Sorichetti, R.J., 2022. An innovative approach to correct data from in-situ turbidity sensors for surface water monitoring. Environmental Modelling & Software, 155, p.105461.
33) Biagi*, K.M., Ross*, C.A., Oswald, C.J., Sorichetti, R.J., Thomas, J.L. and Wellen, C.C., 2022. Novel predictors related to hysteresis and baseflow improve predictions of watershed nutrient loads: An example from Ontario's lower Great Lakes basin. Science of the Total Environment, 826, p.154023.
32) Nelligan*, C., Sorichetti, R.J., Yousif*, M., Thomas, J.L., Wellen, C.C., Parsons, C.T. and Mohamed, M.N., 2021. Then and now: revisiting nutrient export in agricultural watersheds within southern Ontario’s lower Great Lakes basin. Journal of Great Lakes Research, 47(6), pp.1689-1701.
31) Mazumder*, B., Wellen, C., Kaltenecker, G., Sorichetti, R.J. and Oswald, C.J., 2021. Trends and legacy of freshwater salinization: untangling over 50 years of stream chloride monitoring. Environmental Research Letters, 16(9), p.095001.
30) Neumann, A., Dong, F., Shimoda, Y., Arnillas, C.A., Javed, A., Yang, C., Zamaria, S., Mandal*, S., Wellen, C., Paredes, D. and Feisthauer, N., 2021. A review of the current state of process-based and data-driven modelling: guidelines for Lake Erie managers and watershed modellers. Environmental Reviews, 29(4), pp.443-490.
29) Jiang, S., Zhang, Q., Werner, A.D., Wellen, C., Hu, P., Sun, J., Deng, Y. and Rode, M., 2020. Modelling the impact of runoff generation on agricultural and urban phosphorus loading of the subtropical Poyang Lake (China). Journal of Hydrology 590 (125493), https://doi.org/10.1016/j.jhydrol.2020.125490
28) C. Wellen, P. Van Cappellen, L. Gospodyn*, J. L. Thomas, M. N. Mohamed (2020). An analysis of the sample size requirements for acceptable statistical power in water quality monitoring for improvement detection. Ecological Indicators 118, 106684, https://doi.org/10.1016/j.ecolind.2020.106684.
27) M. N. Mohamed, C. Wellen, C. Parsons, W. Taylor, G. Arhonditsis, K. Chomicki, D. Boyd, P. Weidman, S. Mundle, P. Van Cappellen, A. Sharpley, G. Haffner (2019). Understanding and managing the re-eutrophication of Lake Erie: Knowledge gaps and research priorities. Freshwater Science 38(4), DOI: 10.1086/705915.
26) C Spence, G Ali, CJ Oswald, C Wellen (2019). An Application of the T-TEL Assessment Method to Evaluate Connectivity in a Lake-Dominated Watershed after Drought. JAWRA Journal of the American Water Resources Association 55 (2): 318 – 333.
25) Jiang, SY, Q. Zhang, A.D. Werner, C. Wellen, S. Jomaa, Q.D. Zhu, O. Büttner, G. Meon, M. Rode (2019). Effects of stream nitrate frequency on watershed model performance and prediction uncertainty. Journal of Hydrology 569: 22 – 36.
24) Colborne, S., T. Maguire, B. Mayer, M. Nightingale, G. Enns, A. Fisk, K. Drouillard, M. Mohamed, C. Weisener, C. Wellen, S. Mundle (2019). Water and sediment as sources of phosphate in aquatic ecosystems: The Detroit River and its role in the Laurentian Great Lakes. Science of the Total Environment 647: 1594-1603.
23) Oswald, C., G. Giberson, E. Nicholls, C. Wellen, S. Oni (2019). Spatial distribution and extent of urban land cover control watershed-scale chloride retention. Science of the Total Environment 652: 278-288.
22) Wellen, CC, N. J. Shatilla, S. K. Carey (2018). The influence of mining on hydrology and solute transport in the Elk Valley, British Columbia, Canada. Environmental Research Letters 13(7).
21) Kim, D., M. Ramin, V. Cheng, A. Javed, S. Kaluskar, N. Kelly, D. Kobiliris, A. Neumann, F. Ni, T. Peller, G. Perhar, Y. Shimoda, A. Visha, C. Wellen, C. Yang, S. Mugalingam, G. Arhonditsis (2018). An integrative methodological framework for setting environmental criteria: Evaluation of stakeholder perceptions. Ecological Informatics 48: 147-157.
20) Wang, Z., T. Zhang, C. Tan, P. Vadas, Z. Qi, C. Wellen. (2018). Modeling phosphorus losses from soils amended with cattle manures and chemical fertilizers. Science of the Total Environment 639: 580-587.
19) Maguire, T., C. Wellen, K. Stammler, S. Mundle (2018). Increased nutrient concentrations in Lake Erie tributaries influenced by greenhouse agriculture. Science of the Total Environment 633: 433-440.
18) Rosamond, M., C. Wellen, M. Yousif*, G. Kaltenecker, J. Thomas, P. Joosse, N. Feisthauer, W. Taylor, M. Mohamed (2018). Representing a large region with few sites: The Quality Index approach for field studies. Science of the Total Environment 633, 600 - 607.
17) Ali, G., C. Oswald, C. Spence, and C. Wellen (2018). The T‐TEL Method for Assessing Water, Sediment, and Chemical Connectivity. Water Resources Research 54 (2), 634 - 662
16) Li, X., J. Feng, C. Wellen, and Y. Wang (2017). A Bayesian approach of high impaired river reaches identification and total nitrogen load estimation in a sparsely monitored basin. Environmental Science and Pollution Research 24 (1), 987 - 996
15) Wellen, C.C., N.J. Shatilla, and S.K. Carey (2015) Regional scale selenium export associated with surface coal mining in the Elk Valley, British Columbia. Science of the Total Environment 531, 791-802.
14) Long, T., D. Boyd, C.C. Wellen, G.B. Arhonditsis, M. Mohamed, and K. O'Connor (2015) Estimation of tributary total phosphorus loads to Hamilton Harbour, Ontario, Canada, using a series of empirically based regression equations. Journal of Great Lakes Research 41(3): 780–793.
13) Wang, Y., L. Xue, C. C. Wellen, G. Liu (2015) Estimation of nutrient sources and transport using Spatially Referenced Regression Models: A case study in Songhuajiang River Basin, China. Environmental Science and Pollution Research 22(9): 6989-7001.
12) Wellen, C.C., A. Kamran-Disfani*, and G.B. Arhonditsis (2015) Evaluation of the current state of distributed nutrient watershed-water quality modelling. Environmental Science and Technology 49(6): 3278 - 3290.
11) Wellen, C.C., T. Long, D. Boyd, and G.B. Arhonditsis (2014) Quantifying the uncertainty of source attribution in distributed watershed models: A Bayesian assessment of SWAT’s sediment export predictions. Journal of Hydrology 519: 3353 – 3368.
10) Long, T., D. Boyd, C.C. Wellen, and G.B. Arhonditsis (2014) Characterization of water quality dynamics in the urban and agricultural watersheds of Hamilton Harbour following an intensive two year event-based monitoring program in Hamilton and Burlington, Ontario, Canada. Journal of Great Lakes Research 40: 964 – 979.
9) Wellen, C.C., T. Long, D. Boyd, and G.B. Arhonditsis (2014) Accommodating environmental thresholds and extreme events in hydrological models: a Bayesian approach. Journal of Great Lakes Research 40, Supplement 3:102 – 116.
8) Kim, D.K., W. Zhang, V. Hiriart-Baer, C.C. Wellen, T. Long, D. Boyd, G.B. Arhonditsis (2014) Towards the development of integrated modelling systems in aquatic biogeochemistry: a Bayesian approach. Journal of Great Lakes Research 40, Supplement 3:73 – 87.
7) Wellen, C.C., G.B Arhonditsis, T. Labencki, and D. Boyd (2014) Application of the SPARROW model in watersheds with limited information: a Bayesian assessment of the model uncertainty and the value of additional monitoring. Hydrological Processes 28: 1260-1283.
6) Wellen, C.C., and R.E. Sieber (2013) Toward an inclusive semantic interoperability: the case of Cree hydrographic features. International Journal of Geographical Information Science 27(1): 168 – 191.
5) Wellen, C.C., G.B Arhonditsis, T. Labencki, and D. Boyd (2012) A Bayesian methodological framework for accommodating interannual variability of nutrient loading with the SPARROW model. Water Resources Research, vol. 48(10): W10505.
4) Sieber, R.E., and C. C. Wellen (2011) Reply to Shi: Geometry is not the sole source of spatial relations. Proceedings of the National Academy of Sciences of the United States of America 108:E460.
3) Sieber, R.E., C.C. Wellen, and Y. Jin (2011) Spatial Cyberinfrastructures, Ontologies and the Humanities. Proceedings of the National Academy of Sciences of the United States of America 108: 5504 - 5509.
2) Gudimov, A., M. Ramin, T. Labencki, C.C. Wellen, M. Shelar, Y. Shimoda, D. Boyd, and G.B. Arhonditsis (2011) Predicting the response of Hamilton Harbour to the nutrient loading reductions: A modeling analysis of the "ecological unknowns". Journal of Great Lakes Research 37(3): 494 – 506.
1) Conway, T. and C.C. Wellen (2011) Not developed yet? Alternative ways to include locations without changes in land use change models. International Journal of Geographic Information Science 25 (10): 1613 – 1631.
An Assessment of Opportunities, Barriers, and Needs to Enabling Ensemble Watershed Modelling in the Canadian Great Lakes
Comparing and Evaluating Phosphorus Offsetting Programs in Ontario: Findings and Recommendations
Comparing and Evaluating Phosphorus Offsetting Programs in Ontario: Literature Review
Journal Publications
* denotes supervised HQP
45) Mazumder*, B., Oswald, C.J., Cartwright, L.A. and Wellen, C., 2026. Salt to stream: a process-based integrated watershed model for urban stream chloride from winter salts using SWMM. Water Quality Research Journal, p.wqrj2026081.
44) Arhonditsis, G., Dufourq, E., Dutta, M.K., Huang, J., Huettmann, F., Johnson, C.A., Kim, D.K., Staiano, A., Teodoro, A.C., Wellen, C. and Wu, F., 2026. Shaping the future of computational ecology and ecological data science: An editorial perspective from ecological informatics. Ecological Informatics, p.103678.
43) Oswald, C., Melles, S., Gilbride, K., Goitom, E., Ariano, S., Johnston, A., Hataley, E., Tehrani, A., Dannah, N., Aqeel, H. and Wellen, C., 2025. Identification of sentinel upstream community sites for wastewater surveillance of SARS-CoV-2 in a large urban area. Water Research, 284, p.123958.
42) Pandit, A., Hogan, S., Mahoney, D.T., Ford, W.I., Fox, J.F., Wellen, C. and Husic, A., 2025. Establishing performance criteria for evaluating watershed-scale sediment and nutrient models at fine temporal scales. Water Research, 274, p.123156.
41) Biagi*, K.M., Pardy*, A., Luymes, M., Mazumder*, B., Thomas, J.L., Sorichetti, R.J. and Wellen, C.C., 2025. Phosphorus mass balance of 11 temperate agricultural headwater catchments: accumulating and depleting watersheds exhibit contrasting stream load patterns. Environmental Research: Water, 1(1), p.015003.
40) Phillips*, A.K., Mandal*, S., Mohamed, M., Sorichetti, R.J., Ross, C.A., Thomas, J.L. and Wellen, C.C., 2024. Is comprehensive event sampling necessary for constraining process models of water quality? A comparison of high and low frequency phosphorus sampling programs for constraining the HYPE water quality model. Journal of Hydrology, 639, p.131502.
39) Ross*, C.A., Phillips*, A.K., Gospodyn*, L., Oswald, C.J., Wellen, C.C. and Sorichetti, R.J., 2023. Improving the representation of stream water sources in surrogate nutrient models with water isotope data. Science of The Total Environment, 892, p.164544.
38) Arora, B., Kuppel, S., Wellen, C., Oswald, C., Groh, J., Payandi-Rolland, D., Stegen, J. and Coffinet, S., 2023. Building Cross-Site and Cross-Network collaborations in critical zone science. Journal of Hydrology, 618, p.129248.
37) Gospodyn*, L., Wellen, C., Sorichetti, R.J. and Mundle, S.O., 2023. Using stable water isotopes to evaluate water flow and nonpoint source pollutant contributions in three southern Ontario agricultural headwater streams. Hydrological Processes, 37(1), p.e14802.
36) Ross*, C.A., Moslenko*, L.L., Biagi*, K.M., Oswald, C.J., Wellen, C.C., Thomas, J.L., Raby, M. and Sorichetti, R.J., 2022. Total and dissolved phosphorus losses from agricultural headwater streams during extreme runoff events. Science of The Total Environment, 848, p.157736.
35) Burdett*, H. and Wellen, C., 2022. Statistical and machine learning methods for crop yield prediction in the context of precision agriculture. Precision agriculture, 23(5), pp.1553-1574.
34) Yousif*, M., Burdett*, H., Yousif, M., Burdett, H., Wellen, C., Mandal, S., Arabian, G., Smith, D. and Sorichetti, R.J., 2022. An innovative approach to correct data from in-situ turbidity sensors for surface water monitoring. Environmental Modelling & Software, 155, p.105461. Mandal*, S., Arabian, G., Smith, D. and Sorichetti, R.J., 2022. An innovative approach to correct data from in-situ turbidity sensors for surface water monitoring. Environmental Modelling & Software, 155, p.105461.
33) Biagi*, K.M., Ross*, C.A., Oswald, C.J., Sorichetti, R.J., Thomas, J.L. and Wellen, C.C., 2022. Novel predictors related to hysteresis and baseflow improve predictions of watershed nutrient loads: An example from Ontario's lower Great Lakes basin. Science of the Total Environment, 826, p.154023.
32) Nelligan*, C., Sorichetti, R.J., Yousif*, M., Thomas, J.L., Wellen, C.C., Parsons, C.T. and Mohamed, M.N., 2021. Then and now: revisiting nutrient export in agricultural watersheds within southern Ontario’s lower Great Lakes basin. Journal of Great Lakes Research, 47(6), pp.1689-1701.
31) Mazumder*, B., Wellen, C., Kaltenecker, G., Sorichetti, R.J. and Oswald, C.J., 2021. Trends and legacy of freshwater salinization: untangling over 50 years of stream chloride monitoring. Environmental Research Letters, 16(9), p.095001.
30) Neumann, A., Dong, F., Shimoda, Y., Arnillas, C.A., Javed, A., Yang, C., Zamaria, S., Mandal*, S., Wellen, C., Paredes, D. and Feisthauer, N., 2021. A review of the current state of process-based and data-driven modelling: guidelines for Lake Erie managers and watershed modellers. Environmental Reviews, 29(4), pp.443-490.
29) Jiang, S., Zhang, Q., Werner, A.D., Wellen, C., Hu, P., Sun, J., Deng, Y. and Rode, M., 2020. Modelling the impact of runoff generation on agricultural and urban phosphorus loading of the subtropical Poyang Lake (China). Journal of Hydrology 590 (125493), https://doi.org/10.1016/j.jhydrol.2020.125490
28) C. Wellen, P. Van Cappellen, L. Gospodyn*, J. L. Thomas, M. N. Mohamed (2020). An analysis of the sample size requirements for acceptable statistical power in water quality monitoring for improvement detection. Ecological Indicators 118, 106684, https://doi.org/10.1016/j.ecolind.2020.106684.
27) M. N. Mohamed, C. Wellen, C. Parsons, W. Taylor, G. Arhonditsis, K. Chomicki, D. Boyd, P. Weidman, S. Mundle, P. Van Cappellen, A. Sharpley, G. Haffner (2019). Understanding and managing the re-eutrophication of Lake Erie: Knowledge gaps and research priorities. Freshwater Science 38(4), DOI: 10.1086/705915.
26) C Spence, G Ali, CJ Oswald, C Wellen (2019). An Application of the T-TEL Assessment Method to Evaluate Connectivity in a Lake-Dominated Watershed after Drought. JAWRA Journal of the American Water Resources Association 55 (2): 318 – 333.
25) Jiang, SY, Q. Zhang, A.D. Werner, C. Wellen, S. Jomaa, Q.D. Zhu, O. Büttner, G. Meon, M. Rode (2019). Effects of stream nitrate frequency on watershed model performance and prediction uncertainty. Journal of Hydrology 569: 22 – 36.
24) Colborne, S., T. Maguire, B. Mayer, M. Nightingale, G. Enns, A. Fisk, K. Drouillard, M. Mohamed, C. Weisener, C. Wellen, S. Mundle (2019). Water and sediment as sources of phosphate in aquatic ecosystems: The Detroit River and its role in the Laurentian Great Lakes. Science of the Total Environment 647: 1594-1603.
23) Oswald, C., G. Giberson, E. Nicholls, C. Wellen, S. Oni (2019). Spatial distribution and extent of urban land cover control watershed-scale chloride retention. Science of the Total Environment 652: 278-288.
22) Wellen, CC, N. J. Shatilla, S. K. Carey (2018). The influence of mining on hydrology and solute transport in the Elk Valley, British Columbia, Canada. Environmental Research Letters 13(7).
21) Kim, D., M. Ramin, V. Cheng, A. Javed, S. Kaluskar, N. Kelly, D. Kobiliris, A. Neumann, F. Ni, T. Peller, G. Perhar, Y. Shimoda, A. Visha, C. Wellen, C. Yang, S. Mugalingam, G. Arhonditsis (2018). An integrative methodological framework for setting environmental criteria: Evaluation of stakeholder perceptions. Ecological Informatics 48: 147-157.
20) Wang, Z., T. Zhang, C. Tan, P. Vadas, Z. Qi, C. Wellen. (2018). Modeling phosphorus losses from soils amended with cattle manures and chemical fertilizers. Science of the Total Environment 639: 580-587.
19) Maguire, T., C. Wellen, K. Stammler, S. Mundle (2018). Increased nutrient concentrations in Lake Erie tributaries influenced by greenhouse agriculture. Science of the Total Environment 633: 433-440.
18) Rosamond, M., C. Wellen, M. Yousif*, G. Kaltenecker, J. Thomas, P. Joosse, N. Feisthauer, W. Taylor, M. Mohamed (2018). Representing a large region with few sites: The Quality Index approach for field studies. Science of the Total Environment 633, 600 - 607.
17) Ali, G., C. Oswald, C. Spence, and C. Wellen (2018). The T‐TEL Method for Assessing Water, Sediment, and Chemical Connectivity. Water Resources Research 54 (2), 634 - 662
16) Li, X., J. Feng, C. Wellen, and Y. Wang (2017). A Bayesian approach of high impaired river reaches identification and total nitrogen load estimation in a sparsely monitored basin. Environmental Science and Pollution Research 24 (1), 987 - 996
15) Wellen, C.C., N.J. Shatilla, and S.K. Carey (2015) Regional scale selenium export associated with surface coal mining in the Elk Valley, British Columbia. Science of the Total Environment 531, 791-802.
14) Long, T., D. Boyd, C.C. Wellen, G.B. Arhonditsis, M. Mohamed, and K. O'Connor (2015) Estimation of tributary total phosphorus loads to Hamilton Harbour, Ontario, Canada, using a series of empirically based regression equations. Journal of Great Lakes Research 41(3): 780–793.
13) Wang, Y., L. Xue, C. C. Wellen, G. Liu (2015) Estimation of nutrient sources and transport using Spatially Referenced Regression Models: A case study in Songhuajiang River Basin, China. Environmental Science and Pollution Research 22(9): 6989-7001.
12) Wellen, C.C., A. Kamran-Disfani*, and G.B. Arhonditsis (2015) Evaluation of the current state of distributed nutrient watershed-water quality modelling. Environmental Science and Technology 49(6): 3278 - 3290.
11) Wellen, C.C., T. Long, D. Boyd, and G.B. Arhonditsis (2014) Quantifying the uncertainty of source attribution in distributed watershed models: A Bayesian assessment of SWAT’s sediment export predictions. Journal of Hydrology 519: 3353 – 3368.
10) Long, T., D. Boyd, C.C. Wellen, and G.B. Arhonditsis (2014) Characterization of water quality dynamics in the urban and agricultural watersheds of Hamilton Harbour following an intensive two year event-based monitoring program in Hamilton and Burlington, Ontario, Canada. Journal of Great Lakes Research 40: 964 – 979.
9) Wellen, C.C., T. Long, D. Boyd, and G.B. Arhonditsis (2014) Accommodating environmental thresholds and extreme events in hydrological models: a Bayesian approach. Journal of Great Lakes Research 40, Supplement 3:102 – 116.
8) Kim, D.K., W. Zhang, V. Hiriart-Baer, C.C. Wellen, T. Long, D. Boyd, G.B. Arhonditsis (2014) Towards the development of integrated modelling systems in aquatic biogeochemistry: a Bayesian approach. Journal of Great Lakes Research 40, Supplement 3:73 – 87.
7) Wellen, C.C., G.B Arhonditsis, T. Labencki, and D. Boyd (2014) Application of the SPARROW model in watersheds with limited information: a Bayesian assessment of the model uncertainty and the value of additional monitoring. Hydrological Processes 28: 1260-1283.
6) Wellen, C.C., and R.E. Sieber (2013) Toward an inclusive semantic interoperability: the case of Cree hydrographic features. International Journal of Geographical Information Science 27(1): 168 – 191.
5) Wellen, C.C., G.B Arhonditsis, T. Labencki, and D. Boyd (2012) A Bayesian methodological framework for accommodating interannual variability of nutrient loading with the SPARROW model. Water Resources Research, vol. 48(10): W10505.
4) Sieber, R.E., and C. C. Wellen (2011) Reply to Shi: Geometry is not the sole source of spatial relations. Proceedings of the National Academy of Sciences of the United States of America 108:E460.
3) Sieber, R.E., C.C. Wellen, and Y. Jin (2011) Spatial Cyberinfrastructures, Ontologies and the Humanities. Proceedings of the National Academy of Sciences of the United States of America 108: 5504 - 5509.
2) Gudimov, A., M. Ramin, T. Labencki, C.C. Wellen, M. Shelar, Y. Shimoda, D. Boyd, and G.B. Arhonditsis (2011) Predicting the response of Hamilton Harbour to the nutrient loading reductions: A modeling analysis of the "ecological unknowns". Journal of Great Lakes Research 37(3): 494 – 506.
1) Conway, T. and C.C. Wellen (2011) Not developed yet? Alternative ways to include locations without changes in land use change models. International Journal of Geographic Information Science 25 (10): 1613 – 1631.
