Biblio

K. W. Davies, Boyd, C. S., Copeland, S. M., and Bates, J. D., “Moderate Grazing During the Off-Season (Fall-Winter) Reduces Exotic Annual Grasses in Sagebrush-Bunchgrass Steppe”, Rangeland Ecology & Management, vol. 82, pp. 51 - 57, 2022.

J. Selker, “Modelling Variably Saturated Flow with HYDRUS-2D.”, Vadose Zone Journal, vol. 3, pp. 725–725, 2004.

J. M. Antle and Valdivia, R. O., “Modelling the supply of ecosystem services from agriculture: a minimum-data approach*”, The Australian Journal of Agricultural and Resource Economics, vol. 50, no. 1, pp. 1 - 15, 2006.

W. E. Baethgen, “Modelling the impact of climate change on rice production in Asia”. 1997.

R. Mata-González, Hunter, R. G., Coldren, C. L., McLendon, T., and Paschke, M. W., “Modelling plant growth dynamics in sagebrush steppe communities affected by fire”, Journal of Arid Environments, vol. 69, no. 1, pp. 144 - 157, 2007.

X. Yang, Moot, D., Brown, H., Teixeira, E., Hung, T., and Hannaway, D. B., “Modelling Alfalfa (Medicago sativa L.) Phenological Development. ”, 2nd World Alfalfa Congress. Cordoba, Argentina, 2018.

M. C. Schantz, Hardegree, S. P., James, J. J., Sheley, R., and Becchetti, T., “Modeling Weather Effects on Plant Production in the California Annual Grassland”, Rangeland Ecology & Management, vol. 87, pp. 177 - 184, 2023.

M. Stafford Smith, “Modeling: three approaches to predicting how herbivore impact is distributed in rangelands”, 1988.

D. M. Palacios, Hazen, E. L., Schroeder, I. D., and Bograd, S. J., “Modeling the temperature-nitrate relationship in the coastal upwelling domain of the California Current”, Journal of Geophysical Research: Oceans, vol. 118, no. 7, pp. 3223 - 3239, 2013.

R. B. Matthews, “Modeling the impact of climate change on rice production in Asia”. 1995.

R. P. Neilson, Lenihan, J. M., Bachelet, D., Drapek, R., and , “Modeling the Future Global Carbon Balance: Is there a threshold from terrestrial sink to source in the Near Future?”, in AGU Fall Meeting Abstracts, 2009.

D. Nadeau, Pardyjak, E., Higgins, C. W., and Parlange, M. B., “Modeling the decay of the convective boundary layer over heterogeneous terrain”, in 19th Symposium on Boundary Layers and Turbulence, 2010.

P. H. Brown, Tullos, D., Tilt, B., Magee, D., and Wolf, A. T., “Modeling the costs and benefits of dam construction from a multidisciplinary perspective”, Journal of environmental management, vol. 90, pp. S303–S311, 2009.

A. G. Fernald, Tidwell, V., Rivera, é, íguez, S., Guldan, S., Steele, C., Ochoa, C., Hurd, B., Ortiz, M., Boykin, K., and Cibils, A., “Modeling Sustainability of Water, Environment, Livelihood, and Culture in Traditional Irrigation Communities and Their Linked Watersheds”, Sustainability, vol. 413731474316504231025363688456930, no. 11, pp. 2998 - 3022, 2012.

M. M. Rowland, Nielson, R. M., Bohnert, D. W., Endress, B. A., Wisdom, M. J., and Averett, J. P., “Modeling Riparian Use by Cattle – Influence of Management, Season, and Weather”, Rangeland Ecology & Management, 2024.

W. H. Bisson, Koch, D. C., O'Donnell, E. F., Khalil, S. M., Kerkvliet, N. I., Tanguay, R. L., Abagyan, R., and Kolluri, S. Kumar, “Modeling of the aryl hydrocarbon receptor (AhR) ligand binding domain and its utility in virtual ligand screening to predict new AhR ligands”, Journal of medicinal chemistry, vol. 52, pp. 5635–5641, 2009.

W. H. Bisson, Koch, D. C., O'Donnell, E. F., Khalil, S. M., Kerkvliet, N. I., Tanguay, R. L., Abagyan, R., and Kolluri, S. Kumar, “Modeling of the aryl hydrocarbon receptor (AhR) ligand binding domain and its utility in virtual ligand screening to predict new AhR ligands.”, J Med Chem, vol. 52, no. 18, pp. 5635-41, 2009.

W. H. Bisson, Koch, D. C., Donnell, E. F. ’, Khalil, S. M., Kerkvliet, N. I., Tanguay, R. L., Abagyan, R., and Kolluri, S., “Modeling of the Aryl Hydrocarbon Receptor (AhR) Ligand Binding Domain and Its Utility in Virtual Ligand Screening to Predict New AhR Ligands”, Journal of Medicinal Chemistry, vol. 52, no. 18, pp. 5635 - 5641, 2009.

R. D. Stewart, Rupp, D. E., Najm, M. R. Abou, and Selker, J., “Modeling effect of initial soil moisture on sorptivity and infiltration”, Water Resources Research, vol. 49, pp. 7037–7047, 2013.

D. B. Hannaway, “Modeling and Mapping Forage Potential Productivity in Sichuan Province and Oregon”. 2013.

B. Turner, Tidwell, V., Fernald, A. G., Rivera, é, Rodriguez, S., Guldan, S., Ochoa, C., Hurd, B., Boykin, K., and Cibils, A., “Modeling Acequia Irrigation Systems Using System Dynamics: Model Development, Evaluation, and Sensitivity Analyses to Investigate Effects of Socio-Economic and Biophysical Feedbacks”, Sustainability, vol. 85010, no. 10, p. 1019, 2016.

S. L. Uesugi, Yarwood, R. R., Selker, J., and Bottomley, P. J., “A model that uses the induction phase of lux gene-dependent bioluminescence in Pseudomonas fluorescens HK44 to quantify cell density in translucent porous media”, Journal of microbiological methods, vol. 47, pp. 315–322, 2001.

R. äre, Wang, C., and Seavert, C., “A model of site-specific nutrient management”, Applied Economics, vol. 44131, no. 33, pp. 4369 - 4380, 2012.

F. W. R. Chaplen, Pérez, J., Bottomley, P. J., Buchanan, A., Murthy, G. S., Chang, J. H., and Sayavedra-Soto, L. A., “Model integration for elucidating the coupled environmental dynamics of the nitrifying bacteria Nitrosomonas europaea and Nitrobacter winogradskyi”, in ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, 2014.

M. James Rinella and Sheley, R., “A model for predicting invasive weed and grass dynamics. II. Accuracy evaluation”, Weed Science, vol. 5336511583335, no. 05, pp. 605 - 614, 2005.