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Below are publications that either use the LAGOS research platform to conduct studies of lakes or describe the development of various LAGOS products, including quantitative methods, database design, etc.

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In Press | 2023 | 2022 | 2021

2020 | 2019 | 2018 | 2017

2016 | 2015 | 2014 | 2013

2012 | 2011 | 2010 | 2009

2008 | 2007 | 2006 | 2005

 

In Press

  • Díaz Vázquez, J., McCullough, I. M., Haite, M., Soranno, P. A., & Cheruvelil, K. S. In press. US lakes are monitored disproportionately less in communities of color. Accepted March 2024 for publication in Frontiers in Ecology and the Environment.

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2023

  • Beal, M. R., Wilkinson, G. M., & Block, P. J. (2023). Large scale seasonal forecasting of peak season algae metrics in the Midwest and Northeast US. Water Research. 229, 119402. https://doi.org/10.1016/j.watres.2022.119402
  • Davidson, T. A., Sayer, C. D., Jeppesen, E., Søndergaard, M., Lauridsen, T. L., Johansson, L. S., Baker, A., & Graeber, D. (2023). Bimodality and alternative equilibria do not help explain long-term patterns in shallow lake chlorophyll-a. Nature Communications. 14(1), 398. https://doi.org/10.1038/s41467-023-36043-9
  • Dugan, H. A., & Rock, L. A. (2023). The slow and steady salinization of Sparkling Lake, Wisconsin. Limnology and Oceanography Letters. 8(1), 74-82. https://doi.org/10.1002/lol2.10191
  • Lapierre, J. F., Webster, K. E., Hanks, E., Wagner, T., Soranno, P. A., McCullough, I. M., Reinl, K. L., Domka, M., & Lottig N. R. (2023). A continuous classification of the 480,000 lakes of the conterminous US based on geographic archetypes. Limnology and Oceanography. https://doi.org/10.1002/lno.12457
  • Mamun, S., Castillo-Castillo, A., Swedberg, K., Zhang, J., Boyle, K. J., Cardoso, D., Kling, C.L., Nolte, C., Papenfus, M., Phaneuf, D., & Polasky, S. (2023). Valuing water quality in the United States using a national dataset on property values. Proceedings of the National Academy of Sciences. 120(15), e2210417120. https://doi.org/10.1073/pnas.2210417120
  • Moore, E. K., Woznicki, S. A., Karol, K. G., & Hamsher, S. E. (2023). Modeling of suitable habitats for starry stonewort (Nitellopsis obtusa) in inland lakes in the Midwest and northeast USA. Biological Invasions. 1-16. http://dx.doi.org/10.1007/s10530-023-03111-6
  • Nelson, E., Rogers, M., Wood, S. A., Chung, J., & Keeler, B. (2023). Data‐driven predictions of summertime visits to lakes across 17 US states. Ecosphere. 14(4), e4457. https://doi.org/10.1002/ecs2.4457
  • Rodriguez, L. K., Polus, S. M., Matuszak, D. I., Domka, M. R., Hanly, P. J., Wang, Q., Soranno, P. A., & Cheruvelil. K. S. (2023). LAGOS-US RESERVOIR: A database classifying conterminous U.S. lakes 4 hectares and larger as natural lakes or reservoir lakes. Limnology and Oceanography Letters. 8(2):267-285. https://doi.org/10.1002/lol2.10299
  • Solomon, C. T., Dugan, H. A., Hintz, W. D., & Jones, S. E. (2023). Upper limits for road salt pollution in lakes. Limnology and Oceanography Letters. https://doi.org/10.1002/lol2.10339
  • Swedberg, K., Cardoso, D. S., Castillo-Castillo, A., Mamun, S., Boyle, K. J., Nolte, C., Papenfus, M., & Polasky, S. (2023). Spatial Heterogeneity in Hedonic Price Effects for Lake Water Quality. Land Economics. https://doi.org/10.3368/le.100.1.102122-0086R
  • Zhao, L., Zhu, R., Zhou, Q., Jeppesen, E., & Yang, K. (2023). Trophic status and lake depth play important roles in determining the nutrient-chlorophyll a relationship: Evidence from thousands of lakes globally. Water Research, 120182. https://doi.org/10.1016/j.watres.2023.120182

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2022

  • Appling, A. P., Oliver, S. K., Read, J. S., Sadler, J. M. & Zwart, J. A. (2022). Machine Learning for Understanding Inland Water Quantity, Quality, and Ecology. Ch 5 in Vol 4 of the Encyclopedia of Inland Waters, Second Edition. Editors: T. Mehner & K. Tockner, Section Editor: K. S. Cheruvelil. Elsevier Inc. https://doi.org/10.1016/B978-0-12-819166-8.00121-3 
  • Cheruvelil, K. S., Webster, K. S., King, K. B., Poisson, A. C., & Wagner, T. (2022). Taking a macroscale perspective to improve understanding of shallow lake total phosphorus and chlorophyll a. Hydrobiologia. 849: 3663–3677. https://link.springer.com/article/10.1007/s10750-022-04811-1
  • McCullough, I. M., Fergus, C. E., & Scott, C. (2022). Macrosystems Limnology and Beyond: Re-Envisioning the Scale of Limnology. Ch 2 in Vol 4 of the Encyclopedia of Inland Waters, Second Edition. Editors: T. Mehner & K. Tockner, Section Editor: K. S. Cheruvelil. Elsevier Inc. https://doi.org/10.1016/B978-0-12-819166-8.00026-8
  • Read, E. K., Cross, J. E., Herman-Mercera, N., Oliver, S. K., & O’Reilly, C. M. (2022). Teams, Networks, and Networks of Networks Advancing Our Understanding and Conservation of Inland Waters. Ch 6 in Vol 4 of the Encyclopedia of Inland Waters, Second Edition. Editors: T. Mehner & K. Tockner, Section Editor K. S. Cheruvelil. Elsevier Inc. https://doi.org/10.1016/B978-0-12-819166-8.00054-2
  • Stachelek, J., Hanly, P., & Soranno, P.A. (2022). Imperfect slope measurements drive overestimation in geometric cone model of lake and reservoir depth. Inland Waters. https://doi.org/10.1080/20442041.2021.2006553
  • Webster, K. E., McCullough, I. M., & Soranno, P. A. (2022). Deeper by the dozen: Diving into a database of 17,675 depths for U.S. lakes and reservoirs. Limnology and Oceanography Bulletin. 31: 1-5. https://doi.org/10.1002/lob.10482
  • Wilkinson, G., Walter, J., Buelo, C.,& Pace, M.. (2022). No evidence of widespread algal bloom intensification in hundreds of lakes. Frontiers in Ecology and the Environment. 20(1): 16–21. https://doi.org/10.1002/fee.2421  
  • Zhou, J., Han, X., Brookes, J. D., & Qin, B. (2022). High probability of nitrogen and phosphorus co-limitation occurring in eutrophic lakes. Environmental Pollution. 292(A): 118276. https://doi.org/10.1016/j.envpol.2021.118276

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2021

  • Cheruvelil, K. S., Soranno, P. A., McCullough, I. M., Webster, K. E., Rodriguez, L. K., & Smith, N. J. (2021). LAGOS-US LOCUS v1.0: Data module of location, identifiers, and physical characteristics of lakes and their watersheds in the conterminous U.S. Limnology and Oceanography Letters. https://doi.org/10.1002/lol2.10203
  • King, K. B. S., Wang, Q., Rodriguez, L. K., and Cheruvelil, K. S. (2021). Lake networks and connectivity metrics for the conterminous U.S. (LAGOS-US NETWORKS v1). Limnology and Oceanography Letters. https://doi.org/10.1002/lol2.10204
  • Liang, Z., Liu, Y., Xu, Y., & Wagner, T. (2021). Bayesian change point quantile regression approach to enhance the understanding of shifting phytoplankton-dimethyl sulfide relationships in aquatic ecosystems. Water Research. 117287. https://doi.org/10.1016/j.watres.2021.117287
  • Liang, Z., Xu, Y., Qiu, Q., Liu, Y., Lu, W., & Wagner, T. (2021). A framework to develop joint nutrient criteria for lake eutrophication management in eutrophic lakes. Journal of Hydrology. 594, 125883. https://doi.org/10.1016/j.jhydrol.2020.125883
  • Carlton, J. N. & Washington, B. J. (2021). Assessing Evidence of Phosphorus Concentration Trends in North American Freshwaters. Journal of the American Water Resources Association. 57(6): 956-971. https://doi-org.proxy1.cl.msu.edu/10.1111/1752-1688.12970 
  • Dugan and Rock. (2021). The slow and steady salinization of Sparkling Lake, Wisconsin. Limnology and Oceanography Letters. https://doi.org/10.1002/lol2.10191
  • Hollister et al. (2021). Analyzing long‐term water quality of lakes in Rhode Island and the northeastern United States with an anomaly approach. Ecosphere. https://doi.org/10.1002/ecs2.3555 
  • Narr, C. F., Chernyavskiy, P., & Collins, S. M. (2021). Partitioning macroscale and microscale ecological processes using covariate-driven non-stationary spatial models Ecological Applications. 32(1): e02485. https://doi.org/10.1002/eap.2485  
  • Thomas et al. (2021). Temporal Coherence Between Lake and Landscape Primary Productivity. Ecosystems. https://doi.org/10.1007/s10021-020-00531-6
  • Topp, S. N., Pavelsky, T. M., Stanley, E. H., Yang, X., Griffin, C. G., & Ross, M. R. V. (2021). Multi-decadal improvement in US Lake water clarity. Environmental Research Letters. 16 055025. https://doi.org/10.1088/1748-9326/abf002 

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2020

  • King, K. B. S., Bremigan, M. T., Infante, D., & Cheruvelil, K. S. (2020). Surface water connectivity affects lake and stream fish species richness and composition. Canadian Journal of Fisheries and Aquatic Sciences. https://doi.org/10.1139/cjfas-2020-0090
  • Liang, Z., Soranno, P. A., & Wagner, T. (2020). The role of phosphorus and nitrogen on chlorophyll a: Evidence from hundreds of lakes. Water Research. 185, 116236. https://doi.org/10.1016/j.watres.2020.116236
  • North, J. S., Schliep, E. M., & Wikle, C. K. (2020). On the spatial and temporal shift in the archetypal seasonal temperature cycle as driven by annual and semi‐annual harmonics. Environmetrics. e2665. https://doi.org/10.1002/env.2665
  • Poisson, A. C., McCullough, I. M., Cheruvelil, K. S., Elliott, K. C., Latimore, J. A., & Soranno, P. A. (2020). Quantifying the contribution of citizen science to broad‐scale ecological databases. Frontiers in Ecology and the Environment. 18(1), 19-26. https://doi.org/10.1002/fee.2128
  • Schliep, E. M., Collins, S. M., Rojas-Salazar, S., Lottig, N. R., & Stanley, E. H. (2020). Data fusion model for speciated nitrogen to identify environmental drivers and improve estimation of nitrogen in lakes. The Annals of Applied Statistics. 14(4), 1651-1675. https://doi.org/10.1214/20-AOAS1371 
  • Soranno, P. A., Cheruvelil, K. S., Liu, B., Wang, Q., Tan, P. N., Zhou, J., King, K. B. S, McCullough, I. M., Stachelek, J., Bartley, M., Filstrup, C. T., Hanks. E. M., Lapierre, J., Lottig, N. R., Schliep, E. M., Wagner, T., & Webster, K. E. (2020). Ecological prediction at macroscales using big data: Does sampling design matter? Ecological Applications. 30(6), e02123. https://doi.org/10.1002/eap.2123
  • Soranno, P. A., Webster, K. E., Smith, N. J., Díaz Vázquez, J., & Cheruvelil, K. S. (2020). What Is in a “Lake” Name? That Which We Call a Lake by Any Other Name. Limnology and Oceanography Bulletin. 29(1), 1-7. https://doi.org/10.1002/lob.10355
  • Stachelek, J., Weng, W., Carey, C. C., Kemanian, A. R., Cobourn, K. M., Wagner, T., Weathers, K. C., & Soranno, P. A. (2020). Granular measures of agricultural land use influence lake nitrogen and phosphorus differently at macroscales. Ecological Applications. 30(8), e02187. https://doi.org/10.1002/eap.2187
  • Wagner, T., Lottig, N. R., Bartley, M. L., Hanks, E. M., Schliep, E. M., Wikle, N. B., King, K. B. S., McCullough, I. M., Stachelek, J., Cheruvelil, K. S., Filstrup, C. T., Lapierre, J., Liu, B., Soranno, P. A., Tan, P., Wang, Q., Webster, K. E., & Zhou, J. (2020). Increasing accuracy of lake nutrient predictions in thousands of lakes by leveraging water clarity data. Limnology and Oceanography Letters. 5(2), 228-235. https://doi.org/10.1002/lol2.10134
  • Dugan et al. (2020). Lakes at risk of chloride contamination. Environmental Science & Technology. https://doi-org.proxy1.cl.msu.edu/10.1021/acs.est.9b07718
  • Filazzola et al. (2020). A database of chlorophyll and water chemistry in freshwater lakes. Scientific Data. https://doi.org/10.1038/s41597-020-00648-2 
  • Qin et al. (2020). Water depth underpins the relative roles and fates of Nitrogen and Phosphorus in lakes. Environmental Science and Technology. https://pubs-acs-org.proxy1.cl.msu.edu/doi/abs/10.1021/acs.est.9b05858 
  • Walder and Hanks. (2020). Bayesian analysis of spatial generalized linear mixed models with Laplace moving average random fields. Computational Statistics & Data Analysis. 144, e106861. https://www.sciencedirect.com/science/article/pii/S0167947319302166?casa_token=BGh3qtJRwIsAAAAA:wBM4fZCCc8AO81zzZNL7i0zxaTv8cpdLFdrVIcKxqeKhu1ibCwrSHHEQR2Zxmz5jU-yC4GuTTOg 
  • Walter et al. (2020). Temporal coherence between lake and landscape primary productivity. Ecosystems. https://link-springer-com.proxy1.cl.msu.edu/article/10.1007/s10021-020-00531-6#citeas

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2019

  • Bartley, M. L., Hanks, E. M., Schliep, E. M., Soranno, P. A., & Wagner, T. (2019). Identifying and characterizing extrapolation in multivariate response data. PloS one. 14(12), e0225715. https://doi.org/10.1371/journal.pone.0225715
  • Collins, S. M., Yuan, S., Tan, P. N., Oliver, S. K., Lapierre, J. F., Cheruvelil, K. S., Fergus, C. E., Skaff, N. K., Stachelek, J., Wagner, T., & Soranno, P. A. (2019). Winter precipitation and summer temperature predict lake water quality at macroscales. Water Resources Research. 55(4), 2708-2721. https://doi.org/10.1029/2018WR023088
  • Filstrup, C. T., King, K. B. S., & McCullough, I. M. (2019). Evenness effects mask richness effects on ecosystem functioning at macro‐scales in lakes. Ecology Letters. 22(12), 2120-2129. https://doi.org/10.1111/ele.13407
  • King, K., Cheruvelil, K. S., & Pollard, A. (2019). Drivers and spatial structure of abiotic and biotic properties of lakes, wetlands, and streams at the national scale. Ecological Applications. 29(7), e01957. https://doi.org/10.1002/eap.1957
  • Liang et al. (2019). Is ecoregional scale precise enough for lake nutrient criteria? Insights from a novel relationship-based clustering approach. Ecological Indicators. 97, 341-349. https://doi.org/10.1016/j.ecolind.2018.10.034 
  • Liu, B., Tan, P. N., & Zhou, J. (2019). Augmented multi-task learning by optimal transport. In Proceedings of the 2019 SIAM International Conference on Data Mining (pp. 19-27). Society for Industrial and Applied Mathematics. https://doi.org/10.1137/1.9781611975673.3
  • McCullough, I. M., Cheruvelil, K. S., Collins, S. M., & Soranno, P. A. (2019). Geographic patterns of the climate sensitivity of lakes. Ecological Applications. 29(2), e01836. https://doi.org/10.1002/eap.1836
  • McCullough, I. M., Cheruvelil, K. S., Lapierre, J. F., Lottig, N. R., Moritz, M. A., Stachelek, J., & Soranno, P. A. (2019). Do lakes feel the burn? Ecological consequences of increasing exposure of lakes to fire in the continental United States. Global Change Biology. 25(9), 2841-2854. https://doi.org/10.1111/gcb.14732
  • McCullough, I. M., King, K. B., Stachelek, J., Diaz, J., Soranno, P. A., & Cheruvelil, K. S. (2019). Applying the patch-matrix model to lakes: a connectivity-based conservation framework. Landscape Ecology. 34(11), 2703-2718. https://doi.org/10.1007/s10980-019-00915-7 
  • McCullough, I. M., Skaff, N. K., Soranno, P. A., & Cheruvelil, K. S. (2019). No lake left behind: How well do US protected areas meet lake conservation targets? Limnology and Oceanography Letters. 4(6), 183-192. https://doi.org/10.1002/lol2.10123
  • Qian, S. S., Stow, C. A., Nojavan, F., Stachelek, J., Cha, Y., Alameddine, I., & Soranno, P. (2019). The implications of Simpson’s paradox for cross-scale inference among lakes. Water Research. 163, 114855. https://doi.org/10.1016/j.watres.2019.114855
  • Ross et al. (2019). AquaSat: A data set to enable remote sensing of water quality for inland waters. Water Resources Research. 55, 10012–10025. https://doi.org/10.1029/2019WR024883 
  • Soranno, P. A. (2019). Six simple steps to share your data when publishing research articles. Limnology and Oceanography Bulletin. 28(2), 41-44. https://doi.org/10.1002/lob.10303
  • Soranno, P. A., Wagner, T., Collins, S. M., Lapierre, J. F., Lottig, N. R., & Oliver, S. K. (2019). Spatial and temporal variation of ecosystem properties at macroscales. Ecology Letters. 22(10), 1587-1598. https://doi.org/10.1111/ele.13346
  • Stanley, E. H., Collins, S. M., Lottig, N. R., Oliver, S. K., Webster, K. E., Cheruvelil, K. S., & Soranno, P. A. (2019). Biases in lake water quality sampling and implications for macroscale research. Limnology and Oceanography. 64(4), 1572-1585. https://doi.org/10.1002/lno.11136
  • Stanley, E. H., Rojas‐Salazar, S., Lottig, N. R., Schliep, E. M., Filstrup, C. T., & Collins, S. M. (2019). Comparison of total nitrogen data from direct and Kjeldahl‐based approaches in integrated data sets. Limnology and Oceanography: Methods. 17(12), 639-649. https://doi.org/10.1002/lom3.10338
  • Stachelek, J., & Soranno, P. A. (2019). Does freshwater connectivity influence phosphorus retention in lakes? Limnology and Oceanography. 64(4), 1586-1599. https://doi.org/10.1002/lno.11137
  • Wang, Q., Boudreau, C., Luo, Q., Tan, P. N., & Zhou, J. (2019). Deep multi-view information bottleneck. In Proceedings of the 2019 SIAM International Conference on Data Mining (pp. 37-45). Society for Industrial and Applied Mathematics. https://doi.org/10.1137/1.9781611975673.5

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2018

  • Cheruvelil, K. S., & Soranno, P. A. (2018). Data-intensive ecological research is catalyzed by open science and team science. BioScience. 68(10), 813-822. https://doi.org/10.1093/biosci/biy097
  • Filstrup, C. T., Wagner, T., Oliver, S. K., Stow, C. A., Webster, K. E., Stanley, E. H., & Downing, J. A. (2018). Evidence for regional nitrogen stress on chlorophyll a in lakes across large landscape and climate gradients. Limnology and Oceanography. 63(S1), S324-S339. https://doi.org/10.1002/lno.10742
  • Lapierre, J. F., Collins, S. M., Seekell, D. A., Spence Cheruvelil, K., Tan, P. N., Skaff, N. K., Taranu, Z. E., Fergus, C. E., & Soranno, P. A. (2018). Similarity in spatial structure constrains ecosystem relationships: Building a macroscale understanding of lakes. Global Ecology and Biogeography. 27(10), 1251-1263. https://doi.org/10.1111/geb.12781
  • Liu, B., Tan, P. N., & Zhou, J. (2018). Enhancing predictive modeling of nested spatial data through group-level feature disaggregation. In Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (pp. 1784-1793). https://doi.org/10.1145/3219819.3220091
  • Lottig, N. R., Tan, P. N., Wagner, T., Cheruvelil, K. S., Soranno, P. A., Stanley, E. H., … & Yuan, S. (2017). Macroscale patterns of synchrony identify complex relationships among spatial and temporal ecosystem drivers. Ecosphere. 8(12), e02024. https://doi.org/10.1002/ecs2.2024
  • Oliver, S. K., Fergus, C. E., Skaff, N. K., Wagner, T., Tan, P. N., Cheruvelil, K. S., & Soranno, P. A. (2018). Strategies for effective collaborative manuscript development in interdisciplinary science teams. Ecosphere. 9(4), e02206. https://doi.org/10.1002/ecs2.2206
  • Seekell, D. A., Lapierre, J. F., & Cheruvelil, K. S. (2018). A geography of lake carbon cycling. Limnology and Oceanography Letters. 3(3), 49-56. https://doi.org/10.1002/lol2.10078
  • Stow, C. A., Webster, K. E., Wagner, T., Lottig, N., Soranno, P. A., & Cha, Y. (2018). Small values in big data: The continuing need for appropriate metadata. Ecological Informatics. 45, 26-30. https://doi.org/10.1016/j.ecoinf.2018.03.002
  • Wagner, T., & Schliep, E. M. (2018). Combining nutrient, productivity, and landscape‐based regressions improves predictions of lake nutrients and provides insight into nutrient coupling at macroscales. Limnology and Oceanography. 63(6), 2372-2383. https://doi.org/10.1002/lno.10944
  • Wang, Q., Tan, P. N., & Zhou, J. (2018). Imputing structured missing values in spatial data with clustered adversarial matrix factorization. In 2018 IEEE International Conference on Data Mining (ICDM) (pp. 1284-1289). IEEE. https://doi.org/10.1109/ICDM.2018.00173

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2017

  • Cheruvelil, K. S., Yuan, S., Webster, K. E., Tan, P. N., Lapierre, J. F., Collins, S. M., Fergus, C. E., Scott, C. E., Henry, E. N., Soranno, P. A., Filstrup, C. T., & Wagner, T. (2017). Creating multithemed ecological regions for macroscale ecology: Testing a flexible, repeatable, and accessible clustering method. Ecology and Evolution. 7(9), 3046-3058. https://doi.org/10.1002/ece3.2884
  • Collins, S. M., Oliver, S. K., Lapierre, J. F., Stanley, E. H., Jones, J. R., Wagner, T., & Soranno, P. A. (2017). Lake nutrient stoichiometry is less predictable than nutrient concentrations at regional and sub‐continental scales. Ecological Applications. 27(5), 1529-1540. https://doi.org/10.1002/eap.1545 PDF
  • Elliott, K. C., Settles, I. H., Montgomery, G. M., Brassel, S. T., Cheruvelil, K. S., & Soranno, P. A. (2017). Honorary authorship practices in environmental science teams: structural and cultural factors and solutions. Accountability in Research. 24(2), 80-98. https://doi.org/10.1080/08989621.2016.1251320
  • Fergus, C. E., Lapierre, J. F., Oliver, S. K., Skaff, N. K., Cheruvelil, K. S., Webster, K., Scott, C., & Soranno, P.A. (2017). The freshwater landscape: lake, wetland, and stream abundance and connectivity at macroscales. Ecosphere. 8(8), e01911. https://doi.org/10.1002/ecs2.1911
  • Lapierre, J. F., Seekell, D. A., Filstrup, C. T., Collins, S. M., Emi Fergus, C., Soranno, P. A., & Cheruvelil, K. S. (2017). Continental‐scale variation in controls of summer CO2 in United States lakes. Journal of Geophysical Research: Biogeosciences. 122(4), 875-885. https://doi.org/10.1002/2016JG003525 PDF
  • Oliver, S. K., Collins, S. M., Soranno, P. A., Wagner, T., Stanley, E. H., Jones, J. R., Stow, C. A., & Lottig, N. R. (2017). Unexpected stasis in a changing world: Lake nutrient and chlorophyll trends since 1990. Global Change Biology. 23(12), 5455-5467. https://doi.org/10.1111/gcb.13810
  • Resnik, D. B., Elliott, K. C., Soranno, P. A., & Smith, E. M. (2017). Data-intensive science and research integrity. Accountability in Research, 24(6), 344-358. https://doi.org/10.1080/08989621.2017.1327813
  • Soranno, P.A., L.C. Bacon, M. Beauchene, K.E. Bednar, E.G. Bissell, C.K. Boudreau, M.G. Boyer, M.T. Bremigan, S.R. Carpenter, J.W. Carr, K.S. Cheruvelil, S.T. Christel, M. Claucherty, S.M. Collins, J.D. Conroy, J.A. Downing, J. Dukett, C.E. Fergus, C.T. Filstrup, C. Funk, M.J. Gonzalez, L.T. Green, C. Gries, J.D. Halfman, S.K. Hamilton, P.C. Hanson, E.N. Henry, E.M. Herron, C. Hockings, J.R. Jackson, K. Jacobson-Hedin, L.L. Janus, W.W. Jones, J.R. Jones, C.M. Keson, K.B.S. King, S.A. Kishbaugh, J.-F. Lapierre, B. Lathrop, J.A. Latimore, Y. Lee, N.R. Lottig, J.A. Lynch, L.J. Matthews, W.H. McDowell, K.E.B. Moore, B.P. Neff, S.J. Nelson, S.K. Oliver, M.L. Pace, D.C. Pierson, A.C. Poisson, A.I. Pollard, D.M. Post, P.O. Reyes, D.O. Rosenberry, K.M. Roy, L.G. Rudstam, O. Sarnelle, N.J. Schuldt, C.E. Scott, N.K. Skaff, N.J. Smith, N.R. Spinelli, J.J. Stachelek, E.H. Stanley, J.L. Stoddard, S.B. Stopyak, C.A. Stow, J.M. Tallant, P.-N. Tan, A.P. Thorpe, M.J. Vanni, T. Wagner, G. Watkins, K.C. Weathers, K.E. Webster, J.D. White, M.K. Wilmes, S. Yuan. (2017). LAGOS-NE: A multi-scaled geospatial and temporal database of lake ecological context and water quality for thousands of U.S. lakes. GigaScience. 6(12) https://doi.org/10.1093/gigascience/gix101 
  • Yuan, S., Tan, P. N., Cheruvelil, K. S., Fergus, C. E., Skaff, N. K., & Soranno, P. A. (2017). Hash-based feature learning for incomplete continuous-valued data. In Proceedings of the 2017 SIAM International Conference on Data Mining (pp. 678-686). Society for Industrial and Applied Mathematics. https://doi.org/10.1137/1.9781611974973.76 PDF 

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2016

  • Elliott, K. C., Cheruvelil, K. S., Montgomery, G. M., & Soranno, P. A. (2016). Conceptions of good science in our data-rich world. BioScience. 66(10), 880-889. https://doi.org/10.1093/biosci/biw115
  • Fergus, C. E., Finley, A. O., Soranno, P. A., & Wagner, T. (2016). Spatial variation in nutrient and water color effects on lake chlorophyll at macroscales. PLoS One. 11(10), e0164592. https://doi.org/10.1371/journal.pone.0164592
  • Oliver, S. K., Soranno, P. A., Fergus, C. E., Wagner, T., Winslow, L. A., Scott, C. E., Webster, K. E., Downing, J. A., & Stanley, E. H. (2016). Prediction of lake depth across a 17-state region in the United States. Inland Waters. 6(3), 314-324. https://doi.org/10.1080/IW-6.3.957 PDF
  • Skaff, N. K., & Cheruvelil, K. S. (2016). Fine-scale wetland features mediate vector and climate-dependent macroscale patterns in human West Nile virus incidence. Landscape ecology. 31(7), 1615-1628. https://doi.org/10.1007/s10980-016-0346-1
  • Wagner, T., Fergus, C. E., Stow, C. A., Cheruvelil, K. S., & Soranno, P. A. (2016). The statistical power to detect cross‐scale interactions at macroscales. Ecosphere. 7(7), e01417. https://doi.org/10.1002/ecs2.1417

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2015

  • Soranno, P. A., Bissell, E. G., Cheruvelil, K. S., Christel, S. T., Collins, S. M., Fergus, C. E., Filstrup, C. T., Lapierre, J., Lottig, N. R., Oliver, S. K., Scott, C. E., Smith, N. J., Stopyak, S., Yuan, S., Bremigan, M. T., Downing, J. A., Gries, C., Henry, E. N., Skaff, N. K., Stanley, E. H., Stow, C. A., Tan, P., Wagner, T., & Webster, K. E. (2015). Building a multi-scaled geospatial temporal ecology database from disparate data sources: fostering open science and data reuse. GigaScience. 4(1), s13742-015. https://doi.org/10.1186/s13742-015-0067-4
  • Soranno, P. A., Cheruvelil, K. S., Elliott, K. C., & Montgomery, G. M. (2015). It’s good to share: Why environmental scientists’ ethics are out of date. BioScience. 65(1), 69-73. https://doi.org/10.1093/biosci/biu169
  • Yuan, S., Tan, P. N., Cheruvelil, K. S., Collins, S. M., & Soranno, P. A. (2015). Constrained spectral clustering for regionalization: Exploring the trade-off between spatial contiguity and landscape homogeneity. In 2015 IEEE International Conference on Data Science and Advanced Analytics (DSAA) (pp. 1-10). IEEE. https://doi.org/10.1109/DSAA.2015.7344878

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2014

  • Cheruvelil, K. S., Soranno, P. A., Weathers, K. C., Hanson, P. C., Goring, S. J., Filstrup, C. T., & Read, E. K. (2014). Creating and maintaining high‐performing collaborative research teams: the importance of diversity and interpersonal skills. Frontiers in Ecology and the Environment, 12(1), 31-38. https://doi.org/10.1890/130001
  • Filstrup, C. T., Wagner, T., Soranno, P. A., Stanley, E. H., Stow, C. A., Webster, K. E., & Downing, J. A. (2014). Regional variability among nonlinear chlorophyll—phosphorus relationships in lakes. Limnology and Oceanography, 59(5), 1691-1703. https://doi.org/10.4319/lo.2014.59.5.1691 PDF
  • Goring, S. J., Weathers, K. C., Dodds, W. K., Soranno, P. A., Sweet, L. C., Cheruvelil, K. S., Kominoski, J. S., Rüegg, J., Thorn, A. M., & Utz, R. M. (2014). Improving the culture of interdisciplinary collaboration in ecology by expanding measures of success. Frontiers in Ecology and the Environment. 12(1), 39-47. https://doi.org/10.1890/120370
  • Heffernan, J. B., Soranno, P. A., Angilletta Jr, M. J., Buckley, L. B., Gruner, D. S., Keitt, T. H., Kellner, J. R., Kominoski, J. S, Rocha, A. V., Xiao, J., Harms, T. K., Goring, S. J., Koenig, L. E., McDowell, W. H., Powell, H., Richardson, A. D., Stow, C. A., Vargas, R., & Weathers, K. C. (2014). Macrosystems ecology: understanding ecological patterns and processes at continental scales. Frontiers in Ecology and the Environment. 12(1), 5-14. https://doi.org/10.1890/130017
  • Levy, O., Ball, B. A., Bond-Lamberty, B., Cheruvelil, K. S., Finley, A. O., Lottig, N. R., Punyasena, S. W., Xiao, J., Zhou, J., Buckley, L. B., Filstrup, C. T., Keitt, T. H., Kellner, J. R., Knapp, A. K., Richardson, A. D., Tcheng, D., Toomey, M., Vargas, R., Voordeckers, J. W., Wagner, T., & Williams, J. W. (2014). Approaches to advance scientific understanding of macrosystems ecology. Frontiers in Ecology and the Environment. 12(1), 15-23. https://doi.org/10.1890/130019
  • Lottig, N. R., Wagner, T., Norton Henry, E., Spence Cheruvelil, K., Webster, K. E., Downing, J. A., & Stow, C. A. (2014). Long-term citizen-collected data reveal geographical patterns and temporal trends in lake water clarity. PloS One. 9(4), e95769. https://doi.org/10.1371/journal.pone.0095769
  • Rüegg, J., Gries, C., Bond-Lamberty, B., Bowen, G. J., Felzer, B. S., McIntyre, N. E., Soranno, P. A., Vanderbilt, K. L., & Weathers, K. C. (2014). Completing the data life cycle: using information management in macrosystems ecology research. Frontiers in Ecology and the Environment. 12(1), 24-30. https://doi.org/10.1890/120375
  • Soranno, P. A., Cheruvelil, K. S., Bissell, E. G., Bremigan, M. T., Downing, J. A., Fergus, C. E., Filstrup, C. T., Henry, E. N., Lottig, N. R., Stanley, E. H., Stow, C. A., Tan, P., Wagner, T., & Webster, K. E. (2014). Cross‐scale interactions: Quantifying multi‐scaled cause–effect relationships in macrosystems. Frontiers in Ecology and the Environment. 12(1), 65-73. https://doi.org/10.1890/120366
  • Soranno, P. A., & Schimel, D. S. (2014). Macrosystems ecology: big data, big ecology. Frontiers in Ecology and the Environment. 12(1) 3-3. https://doi.org/10.1890/1540-9295-12.1.3

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2013

  • Cheruvelil, K. S., Soranno, P. A., Webster, K. E., & Bremigan, M. T. (2013). Multi‐scaled drivers of ecosystem state: Quantifying the importance of the regional spatial scale. Ecological Applications. 23(7), 1603-1618. https://doi.org/10.1890/12-1872.1
  • Winslow, L. A., Read, J. S., Hanson, P. C., & Stanley, E. H. (2014). Lake shoreline in the contiguous United States: quantity, distribution and sensitivity to observation resolution. Freshwater Biology. 59(2), 213-223. https://doi.org/10.1111/fwb.12258 PDF

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2012

  • Zhang, T., Soranno, P. A., Cheruvelil, K. S., Kramer, D. B., Bremigan, M. T., & Ligmann-Zielinska, A. (2012). Evaluating the effects of upstream lakes and wetlands on lake phosphorus concentrations using a spatially-explicit model. Landscape Ecology. 27:1015-1030. DOI 10.1007/s10980-012-9762-z  PDF

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2011

  • Fergus C. E., Soranno P. A., Cheruvelil K. S., & Bremigan, M. T. (2011). Multi-scale landscape and wetland drivers of lake total phosphorus and water color. Limnology and Oceanography. 56(6): 2127-2146. doi:10.4319/lo.2011.56.6.2127. PDF
  • Martin, S. L., Soranno, P. A., Bremigan, M. T., & Cheruvelil, K. S. (2011). Comparing hydrogeomorphic approaches to lake classification. Environmental Management. 48:957-974. doi: 10.1007/s00267-011-9740-2. PDF
  • Soranno, P. A., Wagner, T., Martin, S. L., McLean, C., Novitski, L. N., Provence, C., & Rober, A. R. (2011). Quantifying regional reference conditions for freshwater ecosystem management: a comparison of approaches and future research needs. Lake and Reservoir Management. 27(2):138-148. PDF
  • Wagner, T., Soranno, P. A. , Webster, K. E., & Cheruvelil, K. S. (2011). Landscape drivers of regional variation in the relationship between total phosphorus and chlorophyll. Freshwater Biology. doi:10.1111/j.1365-2427.2011.02621.x. PDF

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2010

  • Soranno, P. A., Cheruvelil, K. S., Webster, K. E., Bremigan, M. T., Wagner, T., & Stow, C. A. (2010). Using landscape limnology to classify freshwater ecosystems for multi-ecosystem management and conservation. BioScience. 60(6):440-454. PDF

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2009

  • Soranno, P. A., Webster, K. E., Cheruvelil, K. S., & Bremigan, M. T. (2009). The lake landscape-context framework: linking aquatic connections, terrestrial features and human effects at multiple spatial scales. Verh. Internat. Verein. Limnology. 30(5): 695-700. PDF
  • Stow, C. A., Lamon, E. C., Qian, S. S., Soranno, P. A., & Reckhow, K. H. (2009). Chapter 5: Bayesian Hierarchical/Multilevel Models for Inference and Prediction Using Cross-System Lake Data. In: Real World Ecology: Large-Scale and Long-Term Case Studies and Methods. Miao, S., S, Carstenn, and M. Nungesser, Eds. Springer, New York.  PDF

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2008

  • Bremigan, M. T., Soranno, P. A., Gonzalez, M. J., Bunnell, D. B., Arend, K. K., Renwick, W. H,. Stein, R. A., & Vanni, M. J. (2008). Hydrogeomorphic features mediate the effects of land use on reservoir productivity and food webs. Limnology and Oceanography. 53(4):1420-1433. PDF
  • Cheruvelil, K. S., Soranno, P. A., Bremigan, M. T., Wagner, T., & Martin, S. L. (2008). Grouping lakes for water quality assessment and monitoring: the roles of regionalization and spatial scale. Environmental Management. 41: 425-440. PDF
  • Soranno, P. A., Cheruvelil, K. S., Stevenson, R. J., Rollins, S. L., Holden, S. W., Heaton, S., & Torng, E.K. (2008). A framework for developing ecosystem-specific nutrient criteria: Integrating biological thresholds with predictive modeling. Limnology and Oceanography. 53(2):773-787. PDF
  • Wagner, T., Soranno, P. A., Cheruvelil, K. S., Renwick, W. H., Webster, K. E., Vaux, P., Abbitt, R. J. F. (2008). Quantifying sample biases of inland lake sampling programs in relation to lake surface area and land use/cover. Environmental Monitoring and Assessment. 141: 131-147. PDF
  • Webster, K. E., Soranno, P. A., Cheruvelil, K. S., Bremigan, M. T., Downing, J. A., Vaux, P., Asplund, T., Bacon, L. C., & Connor, J. (2008). An empirical evaluation of the nutrient color paradigm for lakes. Limnology and Oceanography. 53(3):1137-1148. PDF

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2007

  • Wagner, T., Bremigan, M. T., Cheruvelil, K. S., Soranno, P. A., Nate, N. N., & Breck, J. E. (2007). A multilevel modeling approach to assessing regional and local landscape features for lake classification and assessment of fish growth rates. Environmental Monitoring and Assessment. 130:437-454. PDF

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2006

  • Martin, S. L. & Soranno, P. A. (2006). Defining lake landscape position: relationships to hydrologic connectivity and landscape features. Limnology and Oceanography. 51: 801-814. PDF

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2005

  • Bruhn, L. C. and Soranno, P. A.. (2005). Long term (1974-2001) volunteer monitoring of water clarity trends in Michigan lakes and their relation to ecoregion and land use/cover. Lake and Reservoir Management. 21(1):10-23. PDF

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Photo Credit: JDV.