Biblio

G. Garcia, Bugel, S., Truong, L., Spagnoli, S., and Tanguay, R., ““AHR2 required for normal behavioral responses and proper development of the skeletal and reproductive systems in zebrafish.”, 2018.

G. Garcia, Bugel, S. M., Truong, L., Spagnoli, S., and TANGUAY, R., “AHR2 required for normal behavioral responses and proper development of the skeletal and reproductive systems in zebrafish.”, PLoS One, vol. 13, no. 3, 2018.

B. C. Goodale, La Du, J. K., Bisson, W. H., Janszen, D. B., Waters, K. M., and Tanguay, R. L., “AHR2 Mutant Reveals Functional Diversity of Aryl Hydrocarbon Receptors in Zebrafish”, PLoS ONE, vol. 7, no. 1, p. e29346, 2012.

B. C. Goodale, La Du, J. K., Bisson, W. H., Janszen, D. B., Waters, K. M., and Tanguay, R. L., “AHR2 mutant reveals functional diversity of aryl hydrocarbon receptors in zebrafish.”, PLoS One, vol. 7, no. 1, p. e29346, 2012.

L. K. Mathew, Andreasen, E. A., and Tanguay, R. L., “AHR ACTIVATION INHIBITS REGENERATIVE GROWTH”, Molecular Pharmacology, vol. 69, no. 1, 2005.

A. K. Ehrlich, Pennington, J. M., Tilton, S., Wang, X., Marshall, N. B., Rohlman, D., Funatake, C., Punj, S., O'Donnell, E. F., Yu, Z., Kolluri, S., and Kerkvliet, N. I., “AhR activation increases IL-2 production by alloreactive CD4 T cells initiating the differentiation of mucosal-homing Tim3 Lag3 Tr1 cells.”, Eur J Immunol, vol. 47, no. 11, pp. 1989-2001, 2017.

J. Selker and Ferre, T., “The ah ha moment of measurement: Introduction to the special section on Hydrologic Measurement Methods”, Water Resources Research, vol. 45, 2009.

J. S. Noller, Sowers, J. M., and Lettis, W. R., Eds., AGU Reference ShelfQuaternary Geochronology: Methods and Applications, vol. 4. Washington, D. C.: American Geophysical Union, 2013.

S. I. Rondon and Charlton, B., “Agriculture production in Perú: Peruvian and American Perspective”, Crop and Soil News and Views, vol. 23, 2009.

C. Seavert, “Agriculture in a Changing Climate: Research and Extension Priorities in the Northwest.”. 2016.

M. M. Dalton and Olen, B., “Agriculture: Impacts, Adaptation, and Mitigation”, in Climate change in the Northwest: Implications for our landscapes, waters, and communities, Island Press, 2013.

N. E. Rada and Buccola, S., “Agricultural policy and productivity: evidence from Brazilian censuses”, Agricultural Economics, vol. 43, no. 4, pp. 355 - 367, 2012.

D. M. Sullivan and Stevens, R. G., “Agricultural phosphorus management using the Oregon/Washington phosphorus indexes”, Extension Service, Oregon State University, 2003.

C. Rosenzweig, Jones, J. W., Hatfield, J. L., Ruane, A. C., Boote, K. J., Thorburn, P., Antle, J. M., Nelson, G. C., Porter, C., Janssen, S., Asseng, S., Basso, B., Ewert, F., Wallach, D., Baigorria, G., and Winter, J. M., “The Agricultural Model Intercomparison and Improvement Project (AgMIP): Protocols and pilot studies”, Agricultural and Forest Meteorology, vol. 170, pp. 166 - 182, 2013.

N. Andrews, Gehr, W., Brewer, L., and Sullivan, D. M., “Agricultural composting and water quality”, Extension Service, Oregon State University, 2013.

J. M. Antle and Stoorvogel, J. J., “Agricultural carbon sequestration, poverty, and sustainability”, Environment and Development Economics, vol. 13, no. 03, 2008.

N. A. Streletskaya, Bell, S. D., Kecinski, M., Li, T., Banerjee, S., Palm-Forster, L. H., and Pannell, D., “Agricultural adoption and behavioral economics: Bridging the gap”, Applied Economic Perspectives and Policy, vol. 42, pp. 54–66, 2020.

J. W. Julian and Seavert, C., “AgProfit™: a net present value and cash flow based decision aid for agriculture producers”, Agricultural Finance Review, vol. 71, no. 3, pp. 366 - 378, 2011.

G. Zhang, Marvel, S., Truong, L., Tanguay, R. L., and Reif, D. M., “Aggregate entropy scoring for quantifying activity across endpoints with irregular correlation structure.”, Reprod Toxicol, vol. 62, pp. 92-9, 2016.

G. Zhang, Marvel, S., Truong, L., Tanguay, R. L., and Reif, D. M., “Aggregate entropy scoring for quantifying activity across endpoints with irregular correlation structure.”, Reprod Toxicol, vol. 62, 2016.

J. J. Wu, “Agglomeration: Economic and Environmental Impacts”, Annual Review of Resource Economics, vol. 11, no. 1, 2019.

H. Saito and Wu, J. J., “AGGLOMERATION, CONGESTION, AND U.S. REGIONAL DISPARITIES IN EMPLOYMENT GROWTH”, Journal of Regional Science, vol. 56, no. 1, pp. 53 - 71, 2016.

M. D. Madsen, C. Williams, J., Svejcar, T., and Davies, K. W., “Agglomerating seeds to enhance native seedling emergence and growth”, Journal of Applied Ecology, vol. 4985829515891425817810721116359392691998264203863481839408254322130651392451772862487549, no. 2, pp. 431 - 438, 2012.

R. F. Miller, Tausch, R. J., ,, Johnson, D. D., and Sanderson, S. C., “Age structure and expansion of piñon-juniper woodlands: a regional perspective in the Intermountain West.”, U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station, 2008.

D. L. Perkins, Parks, C. G., Dwire, K. A., Endress, B. A., and Johnson, K. L., “Age structure and age-related performance of sulfur cinquefoil (Potentilla recta)”, Weed Science, vol. 54, pp. 87–93, 2006.