Publications

Publications associated with and/or acknowledging the KBS LTAR. Updated October 2024. 

2024


Bybee-Finley, K. A., Muller, K., White, K. E., Cavigelli, M. A., Han, E., Schomberg, H. H., Snapp, S., Viens, F., Correndo, A. A., Deiss, L., Fonteyne, S., Garcia y Garcia, A., Gaudin, A. C. M., Hooker, D. C., Janovicek, K., Jin, V., Johnson, G., Karsten, H., Liebman, M., McDaniel, M. D., Sanford, G., Schmer, M. R., Strock, J., Sykes, V. R., Verhulst, N., Wilke, B., & Bowles, T. M. (2024). Rotational complexity increases cropping system output under poorer growing conditions. One Earth. https://doi.org/10.1016/j.oneear.2024.07.008  

Dhaliwal, J. K., Panday, D., Robertson, G. P., & Saha, D. (2024). Machine learning reveals dynamic controls of soil nitrous oxide emissions from diverse long-term cropping systems. Journal of Environmental Quality. https://doi.org/10.1002/jeq2.20637  

Guillevic, P. C., Aouizerats, B., Burger, R., Den Besten, N., Jackson, D., Ridderikhoff, M., Zajdband, A., Houborg, R., Franz, T. E., Robertson, G. P., & De Jeu, R. (2024). Planet’s Biomass Proxy for monitoring aboveground agricultural biomass and estimating crop yield. Field Crops Research, 316, 109511. https://doi.org/10.1016/j.fcr.2024.109511  

Guo, T., Marquart-Pyatt, S. T., & Robertson, G. P. (2024). Building ties at multi-stakeholder engagement events to facilitate social learning about contentious issues in natural resource management. Agriculture and Human Values. https://doi.org/10.1007/s10460-024-10648-2 

Hashemi, M. G. Z., Tan, P.-N., Jalilvand, E., Wilke, B., Alemohammad, H., & Das, N. N. (2024). Yield estimation from SAR data using patch-based deep learning and machine learning techniques. Computers and Electronics in Agriculture, 226, 109340. https://doi.org/10.1016/j.compag.2024.109340  

Kahmark, K., Jones, M., Bohm, S., Baker, N., & Robertson, G. P. (2024). Rainfall manipulation shelters for agricultural research. Zenodo. https://doi.org/10.5281/zenodo.10607631  

Mosier, S., Kelly, L., Ozlu, E., & Robertson, G. P. (2024). Switchgrass (Panicum virgatum L.) cultivars have similar impacts on soil carbon and nitrogen stocks and microbial function. GCB Bioenergy, 16(3), e13125. https://doi.org/10.1111/gcbb.13125 

Robertson, G. P., Wilke, B., Ulbrich, T., Haddad, N. M., Hamilton, S. K., Baas, D. G., Basso, B., Blesh, J., Boring, T. J., Campbell, L., Cassida, K. A., Charles, C., Chen, J., Doll, J. E., Guo, T., Kravchenko, A. N., Landis, D. A., Marquart-Pyatt, S. T., Singh, M. P., Sprunger, C. D., & Stegink, J. (2024). The LTAR Cropland Common Experiment at the Kellogg Biological Station. Journal of Environmental Quality. https://doi.org/10.1002/jeq2.20638  

Schreiner-McGraw, A. P., Baker, J. M., Wood, J. D., Abraha, M., Chen, J., Griffis, T. J., & Robertson, G. P. (2024). Surface resistance controls differences in evapotranspiration between croplands and prairies in U.S. Corn Belt sites. Water Resources Research, 60(4), e2023WR035819. https://doi.org/10.1029/2023WR035819 

Wynne, K. C., Parker-Smith, M. J., Murdock, E. M., & Sullivan, L. L. (2024). Quantifying seed rain patterns in a remnant and a chronosequence of restored tallgrass prairies in north central Missouri. bioRxiv. https://doi.org/10.1101/2024.07.10.602969  

Protocols.io 

Cassida, K. A., & Collins, H. (2024). USDA LTAR Common Experiment measurement: Obtaining quality metrics in forage aboveground biomass. Protocols.io. dx.doi.org/10.17504/protocols.io.n2bvjn6wpgk5/v1 

Cordova S. C., C. Dell, M. Liebig, M. A. Cavigelli, D. R. Huggins, and G. P. Robertson. (2024). USDA LTAR Common Experiment measurement: Soil organic carbon stocks and change V.1. Protocols.io. dx.doi.org/10.17504/protocols.io.q26g7yo1kgwz/v1 

Haddad, N. M., & Smith, J. D. (2024). USDA LTAR Common Experiment measurement: Butterfly diversity and abundance. Protocols.io. dx.doi.org/10.17504/protocols.io.14egn6bnpl5d/v1  

Hamilton, S. K., Pisani, O., Kovar, J. L., Malone, R. W., Morrow, A. J., & Cole, K. J. (2024). USDA LTAR Common Experiment measurement: Total phosphorus (TP) and total dissolved phosphorus (TDP) concentration. Protocols.io. dx.doi.org/10.17504/protocols.io.8epv5r7m6g1b/v1 

Hamilton, S. K., Moriasi, D. N., & Baffaut, C. (2024). USDA LTAR Common Experiment measurement: Channelized surface flow discharge. Protocols.io. dx.doi.org/10.17504/protocols.io.rm7vzj195lx1/v1  

Malone, R. W., Morrow, A. J., Pisani, O., Kovar, J. L., Hamilton, S. K., & Cole, K. J. (2024). USDA LTAR Common Experiment measurement: Total nitrogen (TN) and total dissolved nitrogen (TDN) concentration. Protocols.io. dx.doi.org/10.17504/protocols.io.5jyl82rkrl2w/v1 

Pisani, O., Lizotte, R., Veum, K. S., Kovar, J. L., Hamilton, S. K., & Malone, R. W. (2024). USDA LTAR Common Experiment measurement: Best practices for collection, handling, and analyses of water quality samples. Protocols.io. dx.doi.org/10.17504/protocols.io.q26g71z68gwz/v1 

Robertson, G. P., Cavigelli, M. A., Collins, H. P., Dell, C., Huggins, D. R., Jin, V. L., Kahmark, K., & Liebig, M. A. (2024). USDA LTAR Common Experiment Measurement: Chamber-based fluxes of nitrous oxide (N2O) and methane (CH4) from soil. Protocols.io. dx.doi.org/10.17504/protocols.io.yxmvmemw5g3p/v1 

Wilke, B. J., & Chilvers, M. I. (2024). USDA LTAR Common Experiment measurement: Cereal crop mycotoxin concentration. Protocols.io. dx.doi.org/10.17504/protocols.io.j8nlk8b6xl5r/v1 \

Wilke, B., Abendroth, L. J., & VanderWulp, S. (2024). USDA LTAR Common Experiment measurement: Aboveground biomass. Protocols.io. dx.doi.org/10.17504/protocols.io.bp2l62zmkgqe/v1 

Wilke, B. J. (2024). USDA LTAR Common Experiment measurement: Crop scouting for pests and diseases. Protocols.io. dx.doi.org/10.17504/protocols.io.bp2l62mzdgqe/v1  

2023


Beethem, K., S. T. Marquart-Pyatt, J. Lai, and T. Guo. (2023). Navigating the information landscape: public and private information source access by midwest farmers. Agriculture and Human Values 40:1117-1135. https://doi.org/10.1007/s10460-022-10411-5

Guo, T., S. T. Marquart-Pyatt, K. Beethem, R. Denny, and J. Lai. (2023). Scaling up agricultural conservation: Predictors of cover crop use across time and space in the US upper Midwest. Journal of Soil and Water Conservation 78: 00084. https://doi.org/10.2489/jswc.2023.00084

Guo, T., S. T. Marquart-Pyatt, and G. P. Robertson. (2023). Using three consecutive years of farmer survey data to identify prevailing conservation practices in four midwestern US states. Renewable Agriculture and Food Systems 38:E44. https://doi.org/10.1017/S1742170523000364

Hussain, M. Z., S. K. Hamilton, and G. P. Robertson. (2023). Soil phosphorus drawdown by perennial bioenergy cropping systems in the Midwestern US. GCB Bioenergy 15:254-263. https://doi.org/10.1111/gcbb.13020

Liang, K., X. Zhang, X. Liang, V. L. Jin, G. Birru, M. R. Schmer, G. P. Robertson, G. W. McCarty, and G. E. Moglen. (2023). Simulating agroecosystem soil inorganic nitrogen dynamics under long-term management with an improved SWAT-C model. Science of the Total Environment 879:162906. https://doi.org/10.1016/j.scitotenv.2023.162906

Liptzin, D., E. L. Rieke, S. B. Cappellazzi, G. M. Bean, M. Cope, K. L. Greub, C. E. Norris, P. W. Tracy, E. Aberle, A. Ashworth, O. B. Tavarez, A. I. Bary, R. L. Baumhardt, A. B. Gracia, D. C. Brainard, J. R. Brennan, D. B. Reyes, D. Bruhjell, C. N. Carlyle, J. J. Crawford, C. F. Creech, S. W. Culman, B. Deen, C. J. Dell, J. D. Derner, T. F. Ducey, S. W. Duiker, R. S. Dungan, M. F. Dyck, B. H. Ellert, M. H. Entz, A. E. Solorio, S. J. Fonte, S. Fonteyne, A. Fortuna, J. L. Foster, L. M. Fultz, A. V. Gamble, C. M. Geddes, D. Griffin-LaHue, J. H. Grove, S. K. Hamilton, X. Hao, Z. D. Hayden, N. Honsdorf, J. A. Howe, J. A. Ippolito, G. A. Johnson, M. A. Kautz, N. R. Kitchen, S. Kumar, K. S. Kurtz, F. J. Larney, K. L. Lewis, M. Liebman, A. L. Ramirez, S. Machado, B. Maharjan, M. A. Gamiño, W. E. May, M. P. McClaran, M. D. McDaniel, N. Millar, J. P. Mitchell, A. D. Moore, P. A. Moore Jr, M. M. Gutiérrez, K. A. Nelson, E. C. Omondi, S. L. Osborne, L. O. Alcalá, P. Owens, E. M. Pena-Yewtukhiw, H. J. Poffenbarger, B. P. Lira, J. R. Reeve, T. M. Reinbott, M. S. Reiter, E. L. Ritchey, K. L. Roozeboom, Y. Rui, A. Sadeghpour, U. M. Sainju, G. R. Sanford, W. F. Schillinger, R. R. Schindelbeck, M. E. Schipanski, A. J. Schlegel, K. M. Scow, L. A. Sherrod, A. L. Shober, S. S. Sidhu, E. S. Moya, M. S. Luce, J. S. Strock, A. E. Suyker, V. R. Sykes, H. Tao, A. T. Campos, L. L. Van Eerd, H. M. van Es, N. Verhulst, T. J. Vyn, Y. Wang, D. B. Watts, D. L. Wright, T. Zhang, C. L. Morgan, and C. W. Honeycutt. (2023). An evaluation of nitrogen indicators for soil health in long-term agricultural experiments. Soil Science Society of America Journal 87:868-884. https://doi.org/10.1002/saj2.20558  

Menefee, D., T. O. Lee, K. C. Flynn, J. Chen, M. Abraha, J. Baker, and A. Suyker. (2023). Machine learning algorithms improve MODIS GPP estimates in United States croplands. Frontiers in Remote Sensing 4:1240895. https://doi.org/10.3389/frsen.2023.1240895     

Perry, S., G. Falvo, S. Mosier, and G. P. Robertson. (2023). Long-term changes in soil carbon and nitrogen fractions in switchgrass, native grasses, and no-till corn bioenergy production systems. Soil Science Society of America Journal. https://doi.org/10.1002/saj2.20575

Perry, S., G. Falvo, S. Mosier, and G. P. Robertson. (2023). Data from: Long-term changes in soil carbon and nitrogen fractions in switchgrass, native grasses, and no-till corn bioenergy production systems. Dryad, Dataset, https://doi.org/10.5061/dryad.547d7wmf3

Robertson, G. P. (2023). Denitrification and the challenge of scaling microsite knowledge to the globe. mLife, 2(3), 229-238. https://doi.org/10.1002/mlf2.12080

Welikhe, P., Williams, M.R., King, K., Bos, J., Akland, M., Baffaut, C., Beck, E.G., Bierer, A., Bosch, D.D., Brooks, E.S., Buda, A.R., Cavigelli, M., Faulkner, J., Feyereisen, G.W., Fortuna, A.-M., Gamble, Joshua., Hanrahan, B.R., Hussain, M.Z., Kovar, J.L., Lee, B., Leytem, A.B., Liebig, M.A., Line, D., Macrae, M.L., Moorman, T.B., Moriasi, D., Mumbi, R., Nelson, N., Ortega-Pieck, A., Osmond, D., Penn, C., Pisani, O., Reba, M.L., Smith, D.R., Unrine, J., Webb, P., White, K.E., Wilson, H., Witthaus, L.M., (2023). Uncertainty in phosphorus fluxes and budgets across the US long-term agroecosystem research network. Journal of Environmental Quality 52, 873–885. https://doi.org/10.1002/jeq2.20485

2022


Dangal, S. R. S., Schwalm, C., Cavigelli, M. A., Gollany, H. T., Jin, V. L., & Sanderman, J. (2022). Improving Soil Carbon Estimates by Linking Conceptual Pools Against Measurable Carbon Fractions in the DAYCENT Model Version 4.5. Journal of Advances in Modeling Earth Systems, 14(5), e2021MS002622. https://doi.org/10.1029/2021MS002622

Goodrich, D. C., Bosch, D., Bryant, R., Cosh, M. H., Endale, D., Veith, T., Kleinman, P., Langendoen, E., McCarty, G., Pierson, F., Schomberg, H., Smith, D., Starks, P., Strickland, T., Tsegaye, T., Awada, T., Swain, H., Derner, J., Bestelmeyer, B., … Armendariz, G. (2022). Long term agroecosystem research experimental watershed network. Hydrological Processes, 36(3), e14534. https://doi.org/10.1002/hyp.14534  

Hussain, M. Z., Hamilton, S. K., & Robertson, G. P. (2023). Soil phosphorus drawdown by perennial bioenergy cropping systems in the Midwestern US. GCB Bioenergy, 15(2), 254–263. https://doi.org/10.1111/gcbb.13020

Menefee, D., Scott, R. L., Abraha, M., Alfieri, J. G., Baker, J., Browning, D. M., Chen, J., Gonet, J., Johnson, J. M. F., Miller, G. R., Nifong, R., Robertson, P., Russell, E. S., Saliendra, N., Schreiner-Mcgraw, A. P., Suyker, A., Wagle, P., Wente, C., White, P. M., & Smith, D. (2022). Unraveling the effects of management and climate on carbon fluxes of U.S. croplands using the USDA Long-Term Agroecosystem (LTAR) network. Agricultural and Forest Meteorology, 326, 109154. https://doi.org/10.1016/j.agrformet.2022.109154 

Reimer, A., Doll, J. E., Boring, T. J., & Zimnicki, T. (2023). Scaling up conservation agriculture: An exploration of challenges and opportunities through a stakeholder engagement process. Journal of Environmental Quality, 52(3), 465–475. https://doi.org/10.1002/jeq2.20317 

Rieke, E. L., ….. Hamilton, S. K., …. et al. (2022). Evaluation of aggregate stability methods for soil health. Geoderma, 428, 116156. https://doi.org/10.1016/j.geoderma.2022.116156

Robertson, G. P., Hamilton, S. K., Paustian, K., & Smith, P. (2022). Data from: Land-based climate solutions for the United States. Dryad, Dataset. https://doi.org/10.5061/dryad.ghx3ffbr1.

Robertson, G. P., Hamilton, S. K., Paustian, K., & Smith, P. (2022). Land-based climate solutions for the United States. Global Change Biology, 28:4912-4919. https://doi.org/10.1111/gcb.16267

Williams, M. R., Welikhe, P., Bos, J., King, K., Akland, M., Augustine, D., Baffaut, C., Beck, E. g., Bierer, A., Bosch, D. d., Boughton, E., Brandani, C., Brooks, E., Buda, A., Cavigelli, M., Faulkner, J., Feyereisen, G., Fortuna, A., Gamble, J., … Yasarer, L. (2022). P-FLUX: A phosphorus budget dataset spanning diverse agricultural production systems in the United States and Canada. Journal of Environmental Quality, 51(3), 451–461. https://doi.org/10.1002/jeq2.20351

2021


Abraha, M., Chen, J., Hamilton, S.K., Sciusco, P., Lei, C., Shirkey, G., Yuan, J., Robertson, G.P., (2021). Albedo-induced global warming impact of Conservation Reserve Program grasslands converted to annual and perennial bioenergy crops. Environ. Res. Lett. 16, 084059. https://doi.org/10.1088/1748-9326/ac1815'

Armendariz, G., Coffin, A. W., Archer, D., Arthur, D., Bean, A., Browning, D., Carlson, B., Clark, P., Flynn, C., Goslee, S., Hall, V., Holifield Collins, C., Hsieh, H.-Y., Johnson, J. M. F., Kaplan, N., Kautz, M., Kettler, T., King, K., Moglen, G., … Yasarer, L. (2021). The Long-Term Agroecosystem Research (LTAR) Network Standard GIS Data Layers, 2020 version (Version 1). Ag Data Commons. https://doi.org/10.15482/USDA.ADC/1521161 

Browning, D.M., Russell, E.S., Ponce-Campos, G.E., Kaplan, N., Richardson, A.D., Seyednasrollah, B., Spiegal, S., Saliendra, N., Alfieri, J.G., Baker, J., Bernacchi, C., Bestelmeyer, B.T., Bosch, D., Boughton, E.H., Boughton, R.K., Clark, P., Flerchinger, G., Gomez-Casanovas, N., Goslee, S., Haddad, N.M., Hoover, D., Jaradat, A., Mauritz, M., McCarty, G.W., Miller, G.R., Sadler, J., Saha, A., Scott, R.L., Suyker, A., Tweedie, C., Wood, J.D., Zhang, X., Taylor, S.D., (2021). Monitoring agroecosystem productivity and phenology at a national scale: A metric assessment framework. Ecological Indicators 131, 108147. https://doi.org/10.1016/j.ecolind.2021.108147

Brooker, A., Renner, K., Price, R. F., & Basso, B. (2021). Evaluating high-resolution optical and thermal reflectance of maize interseeded with cover crops across spatial scales using remotely sensed imagery. Agronomy Journal, 113(3), 2884–2899. https://doi.org/10.1002/agj2.20592

Gottshall, C. (2015). Effects of different agricultural management systems on arbuscular mycorrhizal fungal diversity, community structure, and ecosystem services. Electronic Theses and Dissertations. https://doi.org/10.18297/etd/2254 

Liang, D., Robertson, G.P. (2021). Nitrification is a minor source of nitrous oxide (N2O) in an agricultural landscape and declines with increasing management intensity. Global Change Biology 27:5599-5613. https://doi.org/10.1111/gcb.15833

Mosier, S., Córdova, S.C., Robertson, G.P. (2021). Restoring soil fertility on degraded lands to meet food, fuel, and climate security needs via perennialization. Frontiers in Sustainable Food Systems 5:706142. https://doi.org/10.3389/fsufs.2021.706142

Saha, D., Basso, B., Robertson, G.P., (2021). Machine learning improves predictions of agricultural nitrous oxide (N2O) emissions from intensively managed cropping systems. Environmental Research Letters 16, 024004. https://doi.org/10.1088/1748-9326/abd2f3

Williams, M., Welikhe, P., Bos, J., King, K., Akland, M., Augustine, D., Baffaut, C., Beck, E.G., Bierer, A., Bosch, D., Boughton, E., Brandani, C., Brooks, E., Buda, A., Cavigelli, M., Faulkner, J., Feyereisen, G., Fortuna, A., Gamble, J., Hanrahan, B., Hussain, M.Z., Kohmann, M., Kovar, J., Lee, B., Leytem, A., Liebig, M., Line, D., Macrae, M., Moorman, T., Moriasi, D., Nelson, N., Ortega-Pieck, A., Osmond, D., Pisani, O., Ragosta, J., Reba, M., Saha, A., Sanchez, J., Silveira, M.. Smith, D., Spiegal, S., Swain, H., Unrine, J., Webb, P., White, K., Wilson, H., Yasarer, L. (2021). LTAR Phosphorus Budget Summary. Ag Data Commons. https://doi.org/10.15482/USDA.ADC/1523365.

2020


Baffaut, C., Baker, J.M., Biederman, J.A., Bosch, D.D., Brooks, E.S., Buda, A.R., Demaria, E.M., Elias, E.H., Flerchinger, G.N., Goodrich, D.C., Hamilton, S.K., Hardegree, S.P., Harmel, R.D., Hoover, D.L., King, K.W., Kleinman, P.J., Liebig, M.A., McCarty, G.W., Moglen, G.E., Moorman, T.B., Moriasi, D.N., Okalebo, J., Pierson, F.B., Russell, E.S., Saliendra, N.Z., Saha, A.K., Smith, D.R., Yasarer, L.M.W., (2020). Comparative analysis of water budgets across the U.S. long-term agroecosystem research network. Journal of Hydrology 588, 125021. https://doi.org/10.1016/j.jhydrol.2020.125021

Bowles, T., Mooshammer, M., Socolar, Y., Calderón, F., Cavigelli, M., Culman, S., Dean, W., Garcia Y Garcia, A., Gaudin, A., Harkom, W. S., Lehman, M., Osborne, S., Robertson, G. P., Salerno, J., Schmer, M., Strock, J., Grandy, A. S., & Drury, C. (2020). Long-term evidence shows crop-rotation diversification increases agricultural resilience to adverse growing conditions in North America (Version 4, p. 672470 bytes) [Dataset]. Dryad. https://doi.org/10.6078/D1H409

Brooker, A.P., Renner, K.A., Basso, B., (2020). Interseeding cover crops in corn: Establishment, biomass, and competitiveness in on-farm trials. Agronomy Journal 112, 3733–3743. https://doi.org/10.1002/agj2.20355

Coffin, A. W., Sclater, V., Holifield Collins, C., Archer, D., Armendariz, G., Arthur, D., Augustine, D., Baffaut, C., Bean, A., Bestlemeyer, B., Browning, D. M., Carlson, B., Clark, P., Derner, J., Goslee, S., Huggins, D., James, D., Kaplan, N., King, K. W., … Yasarer, L. (2020). Long-Term Agroecosystem Research Network regions, 2018 version (Version 1). Ag Data Commons. https://doi.org/10.15482/USDA.ADC/1520632 

Dingle Robertson, L., M. Davidson, A., McNairn, H., Hosseini, M., Mitchell, S., de Abelleyra, D., Verón, S., le Maire, G., Plannells, M., Valero, S., Ahmadian, N., Coffin, A., Bosch, D., H. Cosh, M., Basso, B., & Saliendra, N. (2020). C-band synthetic aperture radar (SAR) imagery for the classification of diverse cropping systems. International Journal of Remote Sensing, 41(24), 9628–9649. https://doi.org/10.1080/01431161.2020.1805136

Cusser, S., Bahlai, C., Swinton, S. M., Robertson, G. P., & Haddad, N. M. (2020). Long-term research avoids spurious and misleading trends in sustainability attributes of no-till. Global Change Biology, 26(6), 3715–3725. https://doi.org/10.1111/gcb.15080

Hess, L. J. T., Hinckley, E.-L. S., Robertson, G. P., & Matson, P. A. (2020). Rainfall intensification increases nitrate leaching from tilled but not no-till cropping systems in the U.S. Midwest. Agriculture, Ecosystems & Environment, 290, 106747. https://doi.org/10.1016/j.agee.2019.106747

Je, D., Tc, U., & Ap, R. (2020). Biologicals: The New Green Revolution or Snake Oil for Ag? Reflections from Agricultural Stakeholders. Agricultural Research & Technology: Open Access Journal, 25(1), 40–43. https://doi.org/10.19080/ARTOAJ.2020.25.556293

Reimer, A. P., Houser, M. K., & Marquart-Pyatt, S. T. (2020). Farming decisions in a complex and uncertain world: Nitrogen management in Midwestern corn agriculture. Journal of Soil and Water Conservation, 75(5), 617–628. https://doi.org/10.2489/jswc.2020.00070