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8 - Land/Atmosphere/Water Interactions

Published online by Cambridge University Press:  25 February 2021

By
Robert G. Woodmansee ,
Michael B. Coughenour ,
Wei Gao ,
Laurie Richards ,
William J. Parton ,
David S. Schimel ,
Keith Paustian ,
Stephen Ogle ,
Dennis S. Ojima  and
Richard Conant
...Show all authors
Edited by
Robert G. Woodmansee ,
John C. Moore ,
Dennis S. Ojima  and
Laurie Richards
Robert G. Woodmansee
Affiliation:
Colorado State University
John C. Moore
Affiliation:
Colorado State University
Dennis S. Ojima
Affiliation:
Colorado State University
Laurie Richards
Affiliation:
Colorado State University
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Summary

Emerging from the warehouse of knowledge about terrestrial ecosystem functioning and the application of the systems ecology paradigm, exemplified by the power of simulation modeling, tremendous strides have been made linking the interactions of the land, atmosphere, and water locally to globally. Through integration of ecosystem, atmospheric, soil, and more recently social science interactions, plausible scenarios and even reasonable predictions are now possible about the outcomes of human activities. The applications of that knowledge to the effects of changing climates, human-caused nitrogen enrichment of ecosystems, and altered UV-B radiation represent challenges addressed in this chapter. The primary linkages addressed are through the C, N, S, and H2O cycles, and UV-B radiation. Carbon dioxide exchanges between land and the atmosphere, N additions and losses to and from lands and waters, early studies of SO2 in grassland ecosystem, and the effects of UV-B radiation on ecosystems have been mainstays of research described in this chapter. This research knowledge has been used in international and national climate assessments, for example the IPCC, US National Climate Assessment, and Paris Climate Accord. Likewise, the knowledge has been used to develop concepts and technologies related to sustainable agriculture, C sequestration, and food security.

Keywords

climate changecarbon dioxide dynamicscarbon sequestrationnitrogen enrichmentUV-B effects on ecosystemsatmospheric depositionsimulation modelingatmosphere–biosphere interactionsdecision support systemsglobal change
Type
Chapter
Information
Natural Resource Management Reimagined
Using the Systems Ecology Paradigm
 , pp. 245 - 278
Publisher: Cambridge University Press
Print publication year: 2021

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References

Asao, S., Parton, W. J., Chen, M., and Gao, W. (2018). Photodegradation accelerates ecosystem N cycling in a simulated California grassland. Ecosphere, 9(8), e02370–1–e02370–18.Google Scholar
Bailey, V. L., Bond-Lamberty, B., DeAngelis, K., et al. (2017). Soil carbon cycling proxies: Understanding their critical role in predicting climate change feedbacks. Global Change Biology, 24(3), 1–11.Google Scholar
Ball, J. T., Woodrow, I. E., and Berry, J. A. (1987). A model predicting stomatal conductance its contribution to the control of photosynthesis under different environmental conditions. In Progress in Photosynthesis Research, vol. 4, ed. Biggins, I.. Dordrecht: Martinees Nijhof, 222–4.Google Scholar
Baron, J. ed. (1992). Biogeochemistry of a subalpine ecosystem: Loch Vale Watershed. Ecological Study Series No. 90. New York: Springer Verlag.Google Scholar
Baron, J. S., Blett, T., Malm, W. C., Alexander, R., and Doremus, H. (2016). Protecting national parks from air pollution effects: Making sausage from science and policy. In Science, Conservation, and National Parks, ed. Beissinger, S., Ackerly, D. D., Doremus, H., and Machlis, G. E.. Chicago: University of Chicago Press, 151–69.Google Scholar
Baron, J. S., Del Grosso, S., Ojima, D. S., Theobald, D. M., and Parton, W. J. (2004). Nitrogen emissions along the Colorado Front Range: Response to population growth, land and water use change, and agriculture. In Ecosystems and Land Use Change, ed. DeFries, R., Asner, G., and Houghton, R.. Geophysical Monograph Series 153. Washington, DC: American Geophysical Union, Wiley, 117–27.Google Scholar
Baron, J., Norton, S. A., Beeson, D. R., and Hermann, R. (1986). Sediment diatom and metal stratigraphy from Rocky Mountain lakes with special reference to atmospheric deposition. Canadian Journal of Fisheries and Aquatic Science, 43, 1350–62.CrossRefGoogle Scholar
Baron, J. S., Rueth, H. M., Wolfe, A. M., et al. (2000). Ecosystem responses to Nitrogen deposition in the Colorado Front Range. Ecosystems, 3, 352–68.Google Scholar
Beltrán-Przekurat, A., Pielke, R. A. Sr., Eastman, J. L., Coughenour, M. B. (2012). Modeling the effects of land-use/land-cover changes on the near-surface atmosphere in southern South America. International Journal of Climatology, 32, 1206–25.Google Scholar
Bernhard, G., Dahlback, A., Fioletov, V., et al. (2013). High levels of ultraviolet radiation observed by ground-based instruments below the 2011 Arctic ozone hole. Atmospheric Chemistry and Physics, 13, 10573–90.Google Scholar
Betts, R. A., Cox, P. M., Lee, S. E., and Woodward, F. I. (1997). Contrasting physiological and structural vegetation feedbacks in climate change simulations. Nature, 387, 796–9.CrossRefGoogle Scholar
Bigelow, D. S., Slusser, J. R., Beaubien, A. F., and Gibson, J. H. (1998). The USDA Ultraviolet Radiation Monitoring Program. Bulletin of the American Meteorological Society, 79(4), 601–15.2.0.CO;2>CrossRefGoogle Scholar
Boot, C. M., Hall, E. K., Denef, K., and Baron, J. S. (2016). Long-term reactive nitrogen loading alters soil carbon and microbial community properties in a subalpine forest ecosystem. Soil Biology and Biochemistry, 92, 211–20.Google Scholar
Bowman, W. D., and Steltzer, H. (1998). Positive feedbacks to anthropogenic nitrogen deposition in Rocky Mountain alpine tundra. Ambio, 27(7), 514–17.Google Scholar
Brand, D., Wijewardana, C., Gao, W., and Reddy, K. R. (2016). Interactive effects of carbon dioxide, low temperature, and ultraviolet-B radiation on cotton seedling root and shoot morphology and growth. Frontiers of Earth Science, 10, 607–20.CrossRefGoogle Scholar
Brown, L. F., and Trlica, M. J. (1977). Interacting effects of soil water, temperature, and irradiance on CO2 exchange rates on two dominant grasses of the shortgrass prairie. Journal of Applied Ecology, 14, 197–204.Google Scholar
Burns, D. A. (2004). The effects of atmospheric nitrogen deposition in the Rocky Mountains of Colorado and southern Wyoming, USA: A critical review. Environmental Pollution, 127(2), 257–69.Google Scholar
Chang, N., Feng, R., Gao, Z., and Gao, W. (2010). Skin cancer incidence is highly associated with ultraviolet-B radiation history. International Journal of Hygiene and Environmental Health, 213(5), 359–68.CrossRefGoogle ScholarPubMed
Chase, T. N., Pielke, R. A. Sr., Kittel, T. G. F., Baron, J. S., and Stohlgren, T. J. (1999). Potential impacts on Colorado Rocky Mountain weather due to land use changes on the adjacent Great Plains. Journal of Geophysical Research, 104, 16673–90.CrossRefGoogle Scholar
Chen, D. X., and Coughenour, M. B. (1994). GEMTM: A general model for energy and mass transfer at land surfaces and its application at the FIFE sites. Journal of Agricultural and Forest Meteorology, 68, 145–71.Google Scholar
Chen, D. X., Coughenour, M. B., Owensby, C., and Knapp, A. (1993). Mathematical simulation of C4 grass photosynthesis in ambient and elevated CO2. Ecological Modeling, 73, 63–80.Google Scholar
Chen, D. X., Hunt, H. W., and Morgan, J. A. (1996). Responses of a C3 and C4 perennial grass to CO2 enrichment and climate change: Comparison between model predictions and experimental data. Ecological Modeling, 87, 11–27.Google Scholar
Chen, M., Parton, W. J., Adair, E. C., Asao, S., Hartman, M. D., and Gao, W. (2016). Simulation of the effects of photodecay on long-term litter decay using DayCent. Ecosphere, 7, e01631.Google Scholar
Cole, C. V., and Heil, R. D. (1981). Phosphorus effects on terrestrial nitrogen cycling. In Terrestrial Nitrogen Cycles: Processes, Ecosystem, Strategies and Management Impacts, ed. Clark, F. E. and Rosswall, T.. Ecological Bulletin, 33. Stockholm: Swedish Natural Science Research Council, 363–74.Google Scholar
Coleman, D. C., Reid, C. P. P., and Cole, C. V. (1983). Biological strategies of nutrient cycling in soil systems. Advances in Ecological Research, 13, 1–55.Google Scholar
COMET-Farm (2018). What is Comet Farm? USDA, NRCS, Natural Resource Ecology Laboratory, Colorado State University. http://cometfarm.nrel.colostate.edu (accessed July 31, 2018).Google Scholar
Conant, R. T., Cerri, C. E. P., Osborne, B. B., and Paustian, K. (2016). Grassland management impacts on soil carbon stocks: A new synthesis. Ecological Applications, 27, 662–8.Google Scholar
Corr, C. A., Krotkov, N., Madronich, S., et al. (2009). Retrieval of aerosol single scattering albedo at ultraviolet wavelengths at the T1 site during MILAGRO. Atmospheric Chemistry and Physics, 9(15), 5813–5827.CrossRefGoogle Scholar
Coughenour, M. B. (1978). Grassland sulfur cycle and ecosystem responses to low-level SO2. PhD dissertation, Colorado State University.Google Scholar
Coughenour, M. B. (1981). Sulfur dioxide deposition and its effect on a grassland sulfur-cycle. Ecological Modeling, 13, 1–16.CrossRefGoogle Scholar
Coughenour, M. B. (1984). A mechanistic simulation analysis of water use, leaf angles, and grazing in East African graminoids. Ecological Modeling, 26, 203–20.Google Scholar
Coughenour, M. B., and Chen, D. X. (1997). An assessment of grassland ecosystem responses to atmospheric change using linked ecophysiological and soil process models. Ecological Applications, 7, 802–27.Google Scholar
Coughenour, M. B., Dodd, J. L., Coleman, D. C., and Lauenroth, W. K. (1979). Partitioning of carbon and SO2 sulfur in a native grassland. Oecologia, 42, 229–40.Google Scholar
Coughenour, M. B., Kittel, T. G. F., Pielke Sr., R. A., and Eastman, J. (1993). Grassland/atmosphere response to changing climate: coupling regional and local scales. Final report to US Department of Energy. DOE/ER 60932-3.Google Scholar
Coughenour, M. B., McNaughton, S. J., and Wallace, L. L. (1984). Modeling primary production of perennial graminoids: Uniting physiological processes and morphometric traits. Ecological Modeling, 23, 101–34.CrossRefGoogle Scholar
Coughenour, M. B., and Parton, W. J. (1995). Integrated mode models of ecosystem function: A grassland case study. In Global Change and Terrestrial Ecosystems, ed. Walker, B. H. and Steffen, W. L.. Cambridge: Cambridge University Press.Google Scholar
Coughenour, M. B., Parton, W. J., Lauenroth, W. K., Dodd, J. L., and Woodmansee, R. G. (1980). Simulation of a grassland sulfur-cycle. Ecological Modeling, 9, 179–213.Google Scholar
Detling, J. K., Parton, W. J., and Hunt, H. W. (1978). An empirical model for estimating CO2 exchange of Bouteloua gracilis (H.B.K.) Lag. in the shortgrass prairie. Oecologia, 33, 137–47.CrossRefGoogle ScholarPubMed
Eastman, J. L., Coughenour, M. B., and Pielke, R. A. Sr. (2001a). The regional effects of CO2 and landscape change using a coupled plant and meteorological model. Global Change Biology, 7, 797–815.Google Scholar
Eastman, J. L., Coughenour, M. B., and Pielke Sr., R. A. (2001b). Does grazing affect regional climate? Journal of Hydrometeorology, 2, 243–53.Google Scholar
Elser, J. J., Andersen, T., Baron, J. S., et al. (2009). Shifts in lake N:P stoichiometry and nutrient limitation driven by atmospheric nitrogen deposition. Science, 326(5954), 835–7.Google Scholar
ENA (European Nitrogen Assessment) (2018). Nitrogen in Europe, Current Problems and Future Solutions. European Science Foundation. www.nine-esf.org/node/204/ENA.html (accessed July 31, 2018).Google Scholar
Farman, J. C., Gardiner, B. G., and Shanklin, J. D. (1985). Large losses of total ozone in Antarctica reveal seasonal ClOX/NOX interaction. Nature, 315, 207–10.Google Scholar
Farquhar, G. D., Von Caemmerer, S., and Berry, J. A. (1980). A biochemical model of photosynthetic CO2 assimilation in leaves in C3 species. Planta, 149, 78–90.CrossRefGoogle Scholar
Galloway, J. N., Dentener, F. J., and Capone, D. G., et al. (2004). Nitrogen cycles: Past, present, and future. Biogeochemistry, 70(2), 153–226.CrossRefGoogle Scholar
Gao, W., Slusser, J., Gibson, J., et al. (2001). Direct-Sun column ozone retrieval by the ultraviolet multifilter rotating shadow-band radiometer and comparison with those from Brewer and Dobson spectrophotometers. Applied Optics, 40(19), 3149–55.CrossRefGoogle ScholarPubMed
Grant, S. B., Azizian, M., Cook, P., et al. (2018). Factoring stream turbulence into global assessments of nitrogen pollution. Science, 359(6381), 1266–9.Google Scholar
Heckendorn, P., Weisenstein, D., Fueglistaler, S., et al. (2009). The impact of geoengineering aerosols on stratospheric temperature and ozone. Environmental Research Letters, 4(4), 045108.Google Scholar
Heitschmidt, R. K., Lauenroth, W. K., and Dodd, J. L. (1978). Effects of controlled levels of sulphur dioxide on western wheatgrass in a south-eastern Montana grassland. Journal Applied Ecology, 15, 859–68.Google Scholar
Holland, E. A., and Detling, J. K. (1990). Plant response to herbivory and belowground nitrogen cycling. Ecology, 71(3), 1040–9.Google Scholar
Hutchinson, G. L., and Viets, F. G. Jr. (1969). Nitrogen enrichment of surface water by absorption of ammonia from cattle feedlots. Science, 166, 514–15.Google Scholar
Innis, G. S., ed. (1978). Grassland Simulation Model. Ecological Studies, 26. New York: Springer.Google Scholar
IPCC (Intergovernmental Panel on Climate Change) (2018). Special Report on Global Warming of 1.5 °C (SR15). World Meteorological Organization and United Nations Environmental Program. www.ipcc.ch (accessed July 31, 2018).Google Scholar
Kittel, T. G. F., and Coughenour, M. B. (1988). Prediction of regional and local ecological change from global climate model results: A hierarchical modeling approach. In Monitoring Climate for the Effects of Increasing Greenhouse Gas Concentrations, ed. Pielke, R. A. and Kittel, T. G. F.. Fort Collins, CO. Cooperative Institute for Research in the Atmosphere, Colorado State University, 173–93.Google Scholar
Lauenroth, W. K., Bicak, C. J., and Dodd, J. L. (1979). Sulfur accumulation in western wheatgrass exposed to three controlled SO2 concentrations. Plant and Soil, 53, 131–6.Google Scholar
Lauenroth, W. K., and Bradford, J. B. (2006). Ecohydrology and the partitioning AET between transpiration and evaporation in a semiarid steppe. Ecosystems, 9, 756–67.Google Scholar
Lauenroth, W. K., and Burke, I. C. (2008). Ecology of the Shortgrass Steppe: A Long-Term Perspective. New York: Oxford University Press.Google Scholar
Liang, X., Wu, Y., Chambers, R. G., et al. (2017). Determining climate effects on US total agricultural productivity. Proceedings for the National Academy of Sciences of the United States of America (PNAS), 114(12), E2285–E2292.Google Scholar
Liang, X., Xu, M., Gao, W., et al. (2012). Physical Modeling of U.S. Cotton Yields and Climate Stresses during 1979 to 2005. Agronomy Journal, 104(3), 675–83.Google Scholar
Liston, G. E., and Pielke, R. A. Sr. (2001), A climate version of the Regional Atmospheric Modeling System. Theoretical Applied Climatology, 68, 155–73.Google Scholar
McGill, W. B., Hunt, H. W., Woodmansee, R. G., and Reuss, J. O. (1981). Phoenix: A model of the dynamics of carbon and nitrogen in grassland soils. In Terrestrial Nitrogen Cycles: Processes, Ecosystem, Strategies and Management Impacts, ed. Clark, F. E. and Rosswall, T.. Ecological Bulletin, 33. Stockholm: Swedish Natural Science Research Council, 49–115.Google Scholar
Milchunas, D. T., and Lauenroth, W. K. (1995). Inertia in plant community structure: State changes after cessation of nutrient-enrichment stress. Ecological Applications, 5(2), 452–8.CrossRefGoogle Scholar
Morris, K. A., Mast, M. A., Wetherbee, G., et al. (2014). 2012 Monitoring and Tracking Wet Nitrogen Deposition at Rocky Mountain National Park. NPS Natural Resource Report NPS/NRSS/ARD/NRR-2014–757, 36.Google Scholar
Mosier, A. R., Parton, W. J., Martin, R. E., et al. (2008). Soil–atmosphere exchange of trace gases in the Colorado Shortgrass Steppe. In Ecology of the Shortgrass Steppe: A Long-Term Perspective, ed. Lauenroth, W. K. and Burke, I. C.. New York: Oxford University Press.Google Scholar
Narisma, G. T., Pitman, A. J., Eastman, J., Watterson, I. G., Pielke, R. Sr., and Beltra’n-Przekurat, A. (2003). The role of biospheric feedbacks in the simulation of the impact of historical land cover change on the Australian January climate. Geophysical Research Letters, 30(22), 2168.Google Scholar
Narisma, G. T., and Pitman, A. J. (2004). The effect of including biospheric responses to CO2 on the impact of land-cover change over Australia. Earth Interactions, 8(5), 1–28.Google Scholar
Ogle, S. M. (2014). Quantifying greenhouse gas sources and sinks from land use change. In Quantifying Greenhouse Gas Fluxes in Agriculture and Forestry: Methods for Entity-Scale Inventory, ed. Eve, M., Pape, D., Flugge, M., Steele, R., Man, D., Riley-Gilbert, M., and Biggar, S.. Technical Bulletin 1939, July 2014. Washington, DC: US Department of Agriculture, 7.1–7.15.Google Scholar
Ogle, S. M., Breidt, F. J., and Paustain, K. (2005). Agricultural management impacts on soil organic carbon storage under moist and dry climatic conditions of temperate and tropical regions. Biogeochemistry, 72, 87–121.Google Scholar
Ojima, D. S., Schimel, D. S., Parton, W. J., and Owensby, C. E. (1994). Long- and short-term effects of fire on nitrogen cycling in tallgrass prairie. Biogeochemistry, 24(2), 67–84.Google Scholar
Parton, W. J. (1978). Abiotic section of ELM. In Grassland Simulation Model, ed. Innis, G. S.. New York: Springer Verlag, 31–53.Google Scholar
Parton, W. J., Anderson, D. W., Cole, C. V., and Stewart, J. W. B. (1983). Simulation of soil organic matter formation and mineralization in semiarid agroecosystems. In Nutrient Cycling in Agricultural Ecosystems, ed. Lowrance, R. R., Todd, R. L., Asmussen, L. E., and Leonard, R. A.. Special Publication No. 23. Athens, GA: University of Georgia, College of Agriculture Experiment Stations.Google Scholar
Parton, W. J., Coughenour, M. B., Scurlock, J. M. O., et al. (1996). Global grassland ecosystem modeling: Development and test of ecosystem models for grassland systems. In Global Change: Effects on Coniferous Forests and Grasslands, ed. Breymeyer, A. I., Hall, D. M., Melillo, J. M., and Agren, G. I.. SCOPE 56. New York: John Wiley and Sons.Google Scholar
Parton, W. J., Schimel, D. S., Cole, C. V., and Ojima, D. S. (1987). Analysis of factors controlling soil organic matter levels in Great Plains Grasslands. Soil Science Society of America Journal, 51, 1173–9.Google Scholar
Paul, E. A., ed. (2014). Soil Microbiology, Ecology, and Biochemistry, 4th edn. San Diego, CA: Elsevier, Academic Press.Google Scholar
Paustian, K. (2014). Carbon sequestration in soil and vegetation and greenhouse gas emissions reduction. In Global Environmental Change, ed. Freedman, B.. Dordrecht, Heidelberg, New York, London: Springer Reference, Springer, 399–406.Google Scholar
Pielke, R. A., Cotton, W. R., Walko, R. L., et al. (1992). A comprehensive meteorological modeling system: RAMS. Meteorology and Atmospheric Physics, 49, 69–91.Google Scholar
Pielke, R. A., Dalu, G., Snook, J. S., Lee, T. J., and Kittel, T. G. F. (1991). Nonlinear influence of mesoscale landuse on weather and climate. Journal of Climate, 4, 1053–69.2.0.CO;2>CrossRefGoogle Scholar
Pielke, R. A., Schimel, D. S., Lee, T. J., Kittel, T. G. F., and Zeng, X. (1993). Atmosphere-terrestrial ecosystem interactions: Implications for coupled modeling. Ecological Modelling, 67, 5–18.Google Scholar
Pielke, R. A., Walko, R. L., Steyaert, L. T., et al. (1999). The influence of anthropogenic landscape changes on weather in south Florida. Monthly Weather Review, 127, 1663–73.Google Scholar
Pinder, R. W., Davidson, E. A., Goodale, C. L., et al. (2012). Climate change impacts of US reactive nitrogen. Proceedings of the National Academy of Sciences, 109(20), 7671–5.Google Scholar
Pitman, A. J. (2003). The evolution of, and revolution in, land surface schemes designed for climate models. International Journal of Climatology, 23, 479–510.Google Scholar
Preston, E. M., O’Guinn, D. W., and Wilson, R. A., eds. (1981). The bioenvironmental impact of a coal-fired power plant. Sixth interim report, Colstrip, Montana, August 1980. Corvallis Environmental Research Laboratory Office of Research and Development, US Environmental Protection Agency, Corvallis, Oregon. EPA 600/3–81–007.Google Scholar
Qi, Y., Bai, S., Gao, W., and Heisler, G. M. (2003). Intra- and inter-specific comparisons of leaf UV-B absorbing-compound concentration of southern broadleaf tree in the United States. Proceedings of SPIE, Ultraviolet Ground- and Space-based Measurements, Models, and Effects II, 4896. http://doi:10.1117/12.466231.Google Scholar
Reddy, K. R., Kakani, V. G., Zhao, D., Koti, S., and Gao, W. (2004). Interactive effects of ultraviolet-B radiation and temperature on cotton physiology, growth, development and hyperspectral reflectance. Photochemistry and Photobiology, 79(5), 416–27.Google Scholar
Reddy, K. R., Kakani, V. G., Zhao, D., Mohammed, A. R., and Gao, W. (2003). Cotton responses to ultraviolet-B radiation: Experimentation and algorithm development. Agricultural and Forest Meteorology, 120, 249–65.Google Scholar
Reddy, K. R., Patro, H., Lokhande, S., Bellaloui, N., and Gao, W. (2016). Ultraviolet-B radiation alters soybean growth and seed quality. Food and Nutrition Sciences, 7, 55–66.Google Scholar
Reddy, K. R., Singh, S. K., Koti, S., et al. (2013). Quantifying the effects of corn growth and physiological responses to ultraviolet-B radiation for modeling. Agronomy Journal, 105(5), 1367–77.CrossRefGoogle Scholar
Rigby, M., Park, S., Saito, T., et al. (2019). Increase in CFC-11 emissions from eastern China based on atmospheric observations. Nature, 569, 546–50.CrossRefGoogle ScholarPubMed
Rueth, H. M., Baron, J. S., and Allstott, E. J. (2003). Responses of Engelmann spruce forests to nitrogen fertilization in the Colorado Rocky Mountains. Ecological Applications, 13(3), 664–73.Google Scholar
Sala, O. E., Lauenroth, W. K., and Parton, W. J. (1992). Long-term soil-water dynamics in the shortgrass steppe. Ecology 73, 1175–81.Google Scholar
Schimel, D. S. (1986). Carbon and nitrogen turnover in adjacent grassland and cropland ecosystems. Biogeochemistry, 2(4), 345–57.Google Scholar
Schimel, D. S., Kittel, T. G. F., and Parton, W. J. (1991). Terrestrial biogeochemical cycles: global interactions with the atmosphere and hydrology. Tellus A: Dynamic Meteorology and Oceanography, 43, 188–203.Google Scholar
Schimel, D. S., Parton, W. J., Adamsen, F. J., et al. (1986). Role of cattle in the volatile loss of nitrogen from a shortgrass steppe. Biogeochemistry, 2, 39–52.CrossRefGoogle Scholar
Schimel, D. S., Stillwell, M. A., and Woodmansee, R. G. (1985). Biogeochemistry of C, N, and P in a soil catena of the shortgrass steppe. Ecology, 66(1), 276–82.Google Scholar
Senft, R. L., Coughenour, M. B., Bailey, D. W., et al. (1987). Large herbivore foraging and ecological hierarchies. BioScience, 37, 789–99.Google Scholar
Shindell, D. T., Rind, D., and Lonergan, P. (1998). Increased polar stratospheric ozone losses and delayed eventual recover owing to increasing greenhouse-gas concentrations. Nature, 392, 589–92.Google Scholar
Simkin, S. M., Allen, E. B., Bowman, W. D., et al. (2016). Conditional vulnerability of plant diversity to atmospheric nitrogen deposition across the United States. Proceedings of the National Academy of Sciences, 113(15), 4086–91.Google Scholar
Singh, B., Norvell, E., Wijewardana, C., Wallace, T., Chastain, D., and Reddy, K. R. (2018). Assessing morpho-physiological characteristics of elite cotton lines from different breeding programs for low temperature and drought tolerance. Journal of Agronomy and Crop Science, 1–10. http://doi:10.1111/jac.12276.CrossRefGoogle Scholar
Solomon, S., Ivy, D. J., Kinnison, D., Mills, M. J., Neely, R. R., and Schmidt, A. (2016). Emergence of healing the Antarctic ozone layer. Science, 353(6296), 269–74.Google Scholar
Sun, Z., Davis, J., and Gao, W. (2015). Combined UV irradiance from TOMS-OMI satellite and UVMRP ground measurements across the continental US. Proceedings of SPIE, Remote Sensing and Modeling of Ecosystems for Sustainability XII, 9610, 961004. http://doi:10.1117/12.2188760.Google Scholar
Sutton, M. A., Oenema, O., Erisman, J. W., et al. (2011). Too much of a good thing. Nature, 472(7342), 159.Google Scholar
Vitousek, P. M., Aber, J. D., Howarth, R. W., et al. (1997). Human alteration of the global nitrogen cycle: Sources and consequences. Ecological Applications, 7(3), 737–50.Google Scholar
Von der Gathen, P., Rex, M., Harris, N. R. P., et al. (1995). Observation evidence for chemical ozone depletion over the Arctic in winter 1991–92. Nature, 375, 131–4.Google Scholar
Walko, R. L., Band, L. E., Baron, J., et al. (2000), Coupled atmosphere-biophysics-hydrology models for environmental modeling. Journal of Applied Meteorology, 39, 931–44.Google Scholar
Wallenstein, M. D., and Hall, E. K. (2012). A trait-based framework for predicting when and where microbial adaptation to climate change will affect ecosystem functioning. Bioegeochemistry, 109, 35–47.Google Scholar
Westhoek, H., Lesschen, J. P., Rood, T., et al. (2014). Food choices, health and environment: effects of cutting Europe’s meat and dairy intake. Global Environmental Change, 26, 196–205.Google Scholar
Wijewardana, C., Reddy, K. R., Shankle, M. W., Meyers, S., and Gao, W. (2018). Low and high-temperature effects on sweetpotato storage root initiation and early transplant establishment. Scientia Horticulturae, 240, 38–48.Google Scholar
Williams, G. J. III, and Kemp, P. R. (1978). Simultaneous measurement of leaf and root gas exchange of shortgrass prairie species. International Journal of Plant Sciences, 139, 150–7.Google Scholar
Woodmansee, R. G. (1975). Sulfur in grassland ecosystems. Sulfur in the Environment. In Klein, W. M., Severson, J. G. Jr., and Parker, H. S.. St. Louis: Missouri Botanical Garden, 134–40.Google Scholar
Woodmansee, R. G. (1978). Additions and losses of nitrogen in grassland ecosystems. Bioscience, 28(7), 448–53.CrossRefGoogle Scholar
Woodmansee, R. G., Dodd, J. L., Bowman, R. A., Clark, F. E., and Dickinson, C. E. (1978). Nitrogen budget of a shortgrass prairie ecosystem. Oecologia, 34(3), 363–76.Google Scholar
Wu, Y., Liang, X., and Gao, W. (2015). Climate change impacts on the U.S. agricultural economy. Proceedings of SPIE, Remote Sensing and Modeling of Ecosystems for Sustainability XII, 9610, 96100J. http://doi:10.1117/12.2192469.Google Scholar
Xu, M., Liang, X.-Z., Gao, W., and Krotkov, N. (2010). Comparison of TOMS retrievals and UVMRP measurements of surface spectral UV radiation in the United States. Atmospheric Chemistry and Physics, 10, 8669–83.Google Scholar
Xu, M., Liang, X.-Z., Gao, W., Reddy, K. R., Slusser, J., and Kunkel, K. (2005). Preliminary results of the coupled CWRF-GOSSYM system. Proceedings of SPIE, Remote Sensing and Modeling of Ecosystems for Sustainability II, 5884, 588409. http://doi:10.1117/12.621017.Google Scholar
Zhang, H., Wang, J., Garcia, L. C., et al. (2019). Surface erythemal UV irradiance in the continental United States derived from ground-based and OMI observations: Quality assessment, trend analysis and sampling issues. Atmospheric Chemistry and Physics, 19(4), 2165–81.Google Scholar

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