Publications for the Modeling
Publications associated with KBS LTER, GLBRC and LTAR projects. Click on the pdf link to get open access papers or to sign-in (free and immediate) to get other papers. Click on the data link to get formally published datasets (other datasets available as noted within the publications). Other ways to view KBS LTER publications can be accessed by the Research | Publications menu above.
Publications are also available on our KBS LTER Google Scholar page
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2023
Kim, S., B. E. Dale, R. A. Martinez-Feria, B. Basso, K. Thelen, C. T. Maravelias, D. A. Landis, T. J. Lark, and G. P. Robertson. 2023.Data from: Global warming intensity of biofuel derived from switchgrass grown on marginal land in Michigan. Dryad, Dataset https://doi.org/10.5061/dryad.wpzgmsbq8., DOI: 10.5061/dryad.wpzgmsbq8
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Kim, S., B. E. Dale, R. A. Martinez-Feria, B. Basso, K. Thelen, C. T. Maravelias, D. A. Landis, T. J. Lark, and G. P. Robertson. 2023.Global warming intensity of biofuel derived from switchgrass grown on marginal land in Michigan. GCB Bioenergy 15:319-331., DOI: 10.1111/gcbb.13024
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Maas, E. D. and R. A. Lal. 2023.A case study of the RothC soil carbon model with potential evapotranspiration and remote sensing model inputs. Remote Sensing Applications: Society and Environment 29:100876., DOI: 10.1016/j.rsase.2022.100876
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Robertson, G. P. 2023.Denitrification and the challenge of scaling microsite knowledge to the globe. mLife 2:229-238., DOI: 10.1002/mlf2.12080
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Wan, L. 2023.Quantifying nutrient transport pathways using spatially explicit modeling and remote sensing. ,
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2022
Dangal, S. R., C. Schwalm, M. A. Cavigelli, H. T. Gollany, V. L. Jin, and J. Sanderman. 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:e2021MS002622., DOI: 10.1029/2021MS002622
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Evans, S. E., S. D. Allison, and C. V. Hawkes. 2022.Microbes, memory and moisture: Predicting microbial moisture responses and their impact on carbon cycling. Functional Ecology 36:1430-1441., DOI: 10.1111/1365-2435.14034
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Houser, M. 2022.Does adopting a nitrogen best management practice reduce nitrogen fertilizer rates?. Agriculture and Human Values 39:79-94., DOI: 10.1007/s10460-021-10227-9
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Robertson, G. P., S. K. Hamilton, K. Paustian, and P. Smith. 2022.Land-based climate solutions for the United States. Global Change Biology 28:4912-4919., DOI: 10.1111/gcb.16267
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Van Deynze, B., S. M. Swinton, and D. A. Hennessy. 2022.Are glyphosate-resistant weeds a threat to conservation agriculture? Evidence from tillage practices in soybeans. American Journal of Agricultural Economics 104:645-675., DOI: 10.1111/ajae.12243
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Vitousek, P. M., X. Chen, Z. Cui, X. Liu, P. A. Matson, I. Ortiz-Monasterio, G. P. Robertson, and F. Zhang. 2022.Climate-change-induced temporal variation in precipitation increases nitrogen losses from intensive cropping systems: Analysis with a toy model. Frontiers of Agricultural Science and Engineering 9:457-464., DOI: 10.15302/J-FASE-2022452
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2021
Basso, B., R. A. Martinez-Feria, L. Rill, and J. T. Ritchie. 2021.Contrasting long-term temperature trends reveal minor changes in projected potential evapotranspiration in the US Midwest. Nature Communications 12:1476., DOI: 10.1038/s41467-021-21763-7
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Browning, D. M., E. S. Russell, G. E. Ponce-Campos, N. Kaplan, A. D. Richardson, B. Seyednasrollah, S. Spiegal, N. Saliendra, J. G. Alfieri, J. Baker, C. Bernacchi, B. T. Bestelmeyer, D. Bosch, E. H. Boughton, R. K. Boughton, P. Clark, G. Flerchinger, N. Gomez-Casanovas, S. Goslee, N. M. Haddad, D. Hoover, A. Jaradat, M. Mauritz, G. W. McCarty, G. R. Miller, J. Sadler, A. Saha, R. L. Scott, A. Suyker, C. Tweedie, J. D. Wood, X. Zhang, and S. D. Taylor. 2021.Monitoring agroecosystem productivity and phenology at a national scale: A metric assessment framework. Ecological Indicators 131:108147., DOI: 10.1016/j.ecolind.2021.108147
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Cusser, S., J. A. Helms IV, C. Bahlai, and N. M. Haddad. 2021.How long do population level field experiments need to be? Utilising data from the 40-year old LTER network. Ecology Letters 24:1103-1111., DOI: 10.1111/ele.13710
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Dahl, T. A., A. D. Kendall, and D. W. Hyndman. 2021.Climate and hydrologic ensembling lead to differing streamflow and sediment yield predictions. Climatic Change 165:8., DOI: 10.1007/s10584-021-03011-5
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Grace, P. and G. P. Robertson. 2021.Soil carbon sequestration potential and the identification of hotspots in the Eastern Corn Belt of the United States. Soil Science Society of America Journal 85:1410-1424., DOI: 10.1002/saj2.20273
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2020
Liu, L. and B. Basso. 2020.Impacts of climate variability and adaptation strategies on crop yields and soil organic carbon in the US Midwest. PLOS ONE 15:e0225433., DOI: 10.1371/journal.pone.0225433
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Liu, L. 2020.Assessing and modeling crop yield and soil carbon in smallholder fields in Africa and Central America. ,
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2019
Denny, R. C., S. T. Marquart-Pyatt, and M. Houser. 2019.Understanding the past and present and predicting the future: farmers’ use of multiple nutrient best management practices in the Upper Midwest. Society & Natural Resources 32:807-826., DOI: 10.1080/08941920.2019.1574045
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Houser, M., S. T. Marquart-Pyatt, R. C. Denny, A. Reimer, and D. Stuart. 2019.Farmers, information, and nutrient management in the US Midwest. Journal of Soil and Water Conservation 74:269-280., DOI: 10.2489/jswc.74.3.269
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Roy, P. C., A. K. Guber, M. Abouali, A. P. Nejadhashemi, K. Deb, and A. J. Smucker. 2019.Crop yield simulation optimization using precision irrigation and subsurface water retention technology. Environmental Modelling and Software 119:433-444., DOI: 10.1016/j.envsoft.2019.07.006
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Saunders, S. P., M. T. Farr, A. D. Wright, C. A. Bahlai, J. W. Ribeiro Jr., S. Rossman, A. L. Sussman, T. W. Arnold, and E. F. Zipkin. 2019.Disentangling data discrepancies with integrated population models. Ecology 100:e02714., DOI: 10.1002/ecy.2714
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Xu, T., J. M. Deines, A. D. Kendall, B. Basso, and D. W. Hyndman. 2019.Addressing challenges for mapping irrigated fields in subhumid temperate regions by integrating remote sensing and hydroclimatic data. Remote Sensing 11:370., DOI: 10.3390/rs11030370
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2018
Basso, B., B. Dumont, B. Maestrini, I. Shcherbak, G. P. Robertson, J. R. Porter, P. Smith, K. Paustian, P. R. Grace, S. Asseng, S. Bassu, C. Biernath, K. J. Boote, D. Cammarano, G. De Sanctis, J. -. Durand, F. Ewert, S. Gayler, D. W. Hyndman, J. Kent, P. Martre, C. Nendel, E. Priesack, D. Ripoche, A. C. Ruane, J. Sharp, P. J. Thorburn, J. L. Hatfield, J. W. Jones, and C. Rosenzweig. 2018.Soil organic carbon and nitrogen feedbacks on crop yields under climate change. Agricultural & Environmental Letters 3:180026., DOI: 10.2134/ael2018.05.0026
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Dahl, T. A., A. D. Kendall, and D. W. Hyndman. 2018.Impacts of projected climate change on sediment yield and dredging costs. Hydrological Processes 32:1223-1234., DOI: 10.1002/hyp.11486
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Jones, C. D., L. G. Oates, G. P. Robertson, and R. C. Izaurralde. 2018.Perennialization and cover cropping mitigate soil carbon loss from residue harvesting. Journal of Environmental Quality 47:710-717., DOI: 10.2134/jeq2017.04.0177
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Smith, N. G. and J. S. Dukes. 2018.Drivers of leaf carbon exchange capacity across biomes at the continental scale. Ecology 99:1610-1620., DOI: 10.1002/ecy.2370
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2017
Izaurralde, C., W. B. McGill, J. Williams, C. Jones, R. Link, D. Manowitz, D. Schwab, X. Zhang, G. P. Robertson, and N. Millar. 2017.Simulating microbial denitrification with EPIC: Model description and evaluation. Ecological Modelling 359:349-362., DOI: 10.1016/j.ecolmodel.2017.06.007
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Liu, L. and B. Basso. 2017.Spatial evaluation of switchgrass productivity under historical and future climate scenarios in Michigan. GCB Bioenergy 9:1320-1332., DOI: 10.1111/gcbb.12417
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Safaie, A., C. Dang, H. Qiu, H. Radha, and M. S. Phanikumar. 2017.Manifold methods for assimilating geophysical and meteorological data in Earth system models and their components. Journal of Hydrology 544:383-396., DOI: 10.1016/j.jhydrol.2016.11.009
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Smith, N. G. and J. S. Dukes. 2017.LCE: Leaf carbon exchange dataset for tropical, temperate, and boreal species of North and Central America.. Ecology 98:2978., DOI: 10.1002/ecy.1992
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Yang, Q., X. Zhang, M. Abraha, S. Del Grosso, G. P. Robertson, and J. Chen. 2017.Enhancing the soil and water assessment tool model for simulating N2O emissions of three agricultural systems. Ecosystem Health and Sustainability 3:e01259., DOI: 10.1002/ehs2.1259
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2016
Bahlai, C. A. and D. A. Landis. 2016.Predicting plant attractiveness to pollinators with passive crowdsourcing. Royal Society Open Science 3:150677., DOI: 10.1098/rsos.150677
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Cai, X., Z. L. Yang, J. B. Fisher, X. Zhang, M. Barlage, and F. Chen. 2016.Integration of nitrogen dynamics into the Noah-MP land surface model v1.1 for climate and environmental predictions. Geoscience Model Development 9:1-15., DOI: 10.5194/gmd-9-1-2016
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Leng, G., X. Zhang, M. Huang, Q. Yang, R. Rafique, G. R. Asrar, and L. Ruby Leung. 2016.Simulating county-level crop yields in the conterminous United States using the Community Land Model: The effects of optimizing irrigation and fertilization. Journal of Advances in Modeling Earth Systems 8:1912-1931., DOI: 10.1002/2016MS000645
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Palm-Forster, L. H., F. Lupi, and M. Chen. 2016.Valuing Lake Erie beaches using value and function transfers. Agricultural and Resource Economics Review 45:270-292., DOI: 10.1017/age.2016.15
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Skevas, T., S. M. Swinton, S. Tanner, G. Sanford, and K. D. Thelen. 2016.Investment risk in bioenergy crops. Global Change Biology Bioenergy 8:1162-1177., DOI: 10.1111/gcbb.12320
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2015
Bahlai, C. A., W. vander Werf, M. O'Neal, L. Hemerik, and D. A. Landis. 2015.Shifts in dynamic regime of an invasive lady beetle are linked to the invasion and insecticidal management of its prey. Ecological Applications 25:1807-1818., DOI: 10.1890/14-2022.1
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Basso, B., D. W. Hyndman, A. D. Kendall, P. R. Grace, and G. P. Robertson. 2015.Can impacts of climate change and agricultural adaptation strategies be accurately quantified if crop models are annually re-initialized?. PLoS ONE 10:e0127333., DOI: 10.1371/journal.pone.0127333
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Egbendewe-Mondzozo, A., S. M. Swinton, S. Kang, W. M. Post, J. C. Binfield, and W. Thompson. 2015.Bioenergy supply and environmental impacts on cropland: insights from multi-market forecasts in a Great Lakes subregional bioeconomic model. Applied Economic Perspectives and Policy 37:602-618., DOI: 10.1093/aepp/ppu044
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Roller, B. R. and T. M. Schmidt. 2015.The physiology and ecological implications of efficient growth. The ISME Journal 9:1481-1487., DOI: 10.1038/ismej.2014.235
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2014
Wieder, W. R., A. S. Grandy, C. M. Kallenbach, and G. B. Bonan. 2014.Integrating microbial physiology and physio-chemical principles in soils with the MIcrobial-MIneral Carbon Stabilization (MIMICS) model. Biogeosciences 11:3899-3917., DOI: 10.5194/bg-11-3899-2014
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2013
Asseng, S., F. Ewert, C. Rosenzweig, J. W. Jones, J. L. Hatfield, A. C. Ruane, K. J. Boote, P. J. Thorburn, R. P. Rötter, D. Cammarano, N. Brisson, B. Basso, P. Martre, P. K. Aggarwal, C. Angulo, P. Bertuzzi, C. Biernath, A. J. Challinor, J. Doltra, S. Gayler, R. Goldberg, R. Grant, L. Heng, J. Hooker, L. A. Hunt, J. Ingwersen, R. C. Izaurralde, K. C. Kersebaum, C. Müller, S. Naresh Kumar, C. Nendel, G. O’Leary, J. E. Olesen, T. M. Osborne, T. Palosuo, E. Priesack, D. Ripoche, M. A. Semenov, I. Shcherbak, P. Steduto, C. Stöckle, P. Stratonovitch, T. Streck, I. Supit, F. Tao, M. Travasso, K. Waha, D. Wallach, J. W. White, J. R. Williams, and J. Wolf. 2013.Uncertainty in simulating wheat yields under climate change. Nature Climate Change 3:827-832., DOI: 10.1038/nclimate1916
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Dzotsi, K. A., B. Basso, and J. W. Jones. 2013.Development, uncertainty and sensitivity analysis of the simple SALUS crop model in DSSAT. Ecological Modelling 260:62-76., DOI: 10.1016/j.ecolmodel.2013.03.017
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Egbendewe-Mondzozo, A., S. M. Swinton, R. C. Izaurralde, D. H. Manowitz, and X. Zhang. 2013.Maintaining environmental quality while expanding biomass production: Sub-regional U.S. policy simulations. Energy Policy 57:518-531., DOI: 10.1016/j.enpol.2013.02.021
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Egbendewe-Mondzozo, A., S. M. Swinton, B. D. Bals, and B. E. Dale. 2013.Can dispersed biomass processing protect the environment and cover the bottom line for biofuel?. Environmental Science and Technology 47:1695-1703., DOI: 10.1021/es303829w
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2012
Basso, B. and J. T. Ritchie. 2012.Assessing the impact of management strategies on water use efficiency using soil-plant-atmosphere models. Vadose Zone Journal 11:DOI: 10.2136/vzj2011.0173., DOI: 10.2136/vzj2011.0173
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2011
Basso, B., O. Gargiulo, K. Paustian, G. P. Robertson, C. Porter, P. R. Grace, and J. W. Jones. 2011.Procedures for initializing soil organic carbon pools in the DSSAT-CENTURY Model for agricultural systems. Soil Science Society of America Journal 75:69-78., DOI: 10.2136/sssaj2010.0115
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Egbendewe-Mondzozoa, A., S. M. Swinton, C. R. Izaurraldec, D. H. Manowitzc, and X. Zhan. 2011.Biomass supply from alternative cellulosic crops and crop residues: A spatially explicit bioeconomic modeling approach. Biomass and Bioenergy 35:4636-4647., DOI: 10.1016/j.biombioe.2011.09.010
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Ma, S. and S. Swinton. 2011.Valuation of ecosystem services from rural landscapes using agricultural land prices. Ecological Economics 70:1649-1659., DOI: 10.1016/j.ecolecon.2011.04.004
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Ma, S. 2011.Supply and demand for ecosystem services from cropland in Michigan. ,
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Meehan, T. D., B. P. Werling, D. A. Landis, and C. Gratton. 2011.Agricultural landscape simplification and insecticide use in the Midwestern United States . Proceedings of the National Academy of Sciences USA 108:11500-11505., DOI: 10.1073/pnas.1100751108
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Song, F., J. Zhao, and S. M. Swinton. 2011.Switching to perennial energy crops under uncertainty and costly reversibility. American Journal of Agricultural Economics 93:764-779., DOI: 10.1093/ajae/aar018
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2010
Zhang, W., W. van der Werf, and S. M. Swinton. 2010.Spatially optimal habitat management for enhancing natural control of an invasive agricultural pest: Soybean aphid. Resource and Energy Economics 32:551-565., DOI: 10.1016/j.reseneeco.2010.04.006
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2009
Jiang, Y. and S. M. Swinton. 2009.Market interactions, farmers' choices, and the sustainability of growing advanced biofuels: A missing perspective?. International Journal of Sustainable Development & World Ecology 16:438-450., DOI: 10.1080/13504500903336405
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Jolejole, M. C. 2009.Trade-offs, incentives, and the supply of ecosystem services from cropland. ,
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Zhang, W. and S. M. Swinton. 2009.Incorporating natural enemies in an economic threshold for dynamically optimal pest management. Ecological Modeling 220:1315-1324., DOI: 10.1016/j.ecolmodel.2009.01.027
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2008
Grandy, A. S. and J. C. Neff. 2008.Molecular C dynamics downstream: The biochemical decomposition sequence and its impact on soil organic matter structure and function. Science of the Total Environment 404:297-307., DOI: 10.1016/j.scitotenv.2007.11.013
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Ritchie, J. T. and B. Basso. 2008.Water use efficiency is not constant when crop water supply is adequate or fixed: The role of agronomic management. European Journal of Agronomy 28:273-281., DOI: 10.1016/j.eja.2007.08.003
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Safir, G. R., S. H. Gage, M. Colunga-Garcia, P. Grace, and S. Rowshan. 2008.Simulation of corn yields in the Upper Great Lakes Region of the US using a modeling framework. Computers and Electronics in Agriculture 60:301-305., DOI: 10.1016/j.compag.2007.09.004
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2007
Basso, B., M. Bertocco, L. Sartori, and E. C. Martin. 2007.Analyzing the effects of climate variability on spatial pattern of yield in a maize–wheat–soybean rotation. European Journal of Agronomy 26:82-91., DOI: 10.1016/j.eja.2006.08.008
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Knoche, S. and F. Lupi. 2007.Valuing deer hunting ecosystem services from farm landscapes. Ecological Economics 64:313-320., DOI: 10.1016/j.ecolecon.2007.07.023
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Zhang, W. 2007.Optimal pest management in the presence of natural pest control ecosystem services. ,
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2006
Grace, P. R., J. N. Ladd, G. P. Robertson, and S. H. Gage. 2006.SOCRATES - A simple model for predicting long-term changes in soil organic carbon in terrestrial ecosystems. Soil Biology and Biochemistry 38:1172-1176., DOI: 10.1016/j.soilbio.2005.09.013
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2001
Gage, S. H., M. Colunga-Garcia, J. J. Helly, G. R. Safir, and A. Momin. 2001.Structural design for management and visualization of information for simulation models applied to a regional scale. Computers and Electronics in Agriculture 33:77-84., DOI: 10.1016/S0168-1699(01)00173-9
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1999
Bergsma, T. T., Q. C. Bergsma, N. E. Ostrom, and G. P. Robertson. 1999.A heuristic model for the calculation of dinitrogen and nitrous oxide flux for 15N-labeled soil. Soil Science Society of America Journal 63:1709-1716., DOI: 10.2136/sssaj1999.6361709x
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Jame, Y. W., H. W. Cutforth, and J. T. Ritchie. 1999.Temperature response function for leaf appearance rate in wheat and corn. Canadian Journal of Plant Science 79:1-10., DOI: 10.4141/P97-148
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1997
Johnson, L. B. and S. H. Gage. 1997.Landscape approaches to the analysis of aquatic ecosystems. Freshwater Biology 37:113-132., DOI: 10.1046/j.1365-2427.1997.00156.x
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Paustian, K., E. Levine, W. M. Post, and I. M. Ryzhova. 1997.The use of models to integrate information and understanding of soil C at the regional scale. Geoderma 79:227-260., DOI: 10.1016/S0016-7061(97)00043-8