William Kolby Smith
- Assistant Professor, Land - Water - Climate / Geospatial Analysis
- Assistant Professor, Global Change - GIDP
- Assistant Professor, Remote Sensing / Spatial Analysis - GIDP
William Smith is an educator and researcher with expertise in ecosystem ecology, remote sensing, the carbon and water cycle, and high performance computing. He is a new faculty member in the process of hiring two postdoctoral researchers and two-three graduate students to begin in Fall 2017. He is also planning to establish a continuous rotation of two-three undergraduates into is lab group. Smith’s work is anchored by the processing, interpretation, analysis, and synthesis of aircraft and satellite remote sensing data. Remote sensing data commonly used by researchers in the Smith lab are derived from Earth Observing platforms such as LandSat, MODIS, AMSR-E, OCO-2, SMAP, NEON, etc. Other complimentary data commonly used in the Smith lab include large-scale networks of eddy flux tower measurement (e.g., Fluxnet), vegetation dynamics (e.g., LTER), ground and camera based phenometrics (e.g., NPN), and networks of tree-ring measurements (e.g., ITRDB). Graduate students in the Smith lab are trained in high performance computing and big-data science utilizing local Linux clusters, Cyverse computing resources, and cloud-based computing resources. Graduate students are also trained in code management best practices using Github for version control and as a public code repository for the lab. Smith is also designing a course titled ‘Ecological Climatology’ that he will begin teaching to undergraduate and graduate students as a part of the Graduate Interdisciplinary Degree Program (GIDP) in spatial analysis and remote sensing to begin Fall 2017.
- Ph.D. Ecology
- University of Montana, Missoula, Montana, United States
- Global and regional scale constraints to bioenergy potential and the human appropriation of net primary production
- M.S. Ecology
- Colorado State University, Fort Collins, Colorado, United States
- Ultraviolet-B Radiation: Impacts on Litter Decomposition Under Different Precipitation Regimes and Biotics
- B.S. Mathematics
- Western Carolina University, Cullowhee, North Carolina, United States
- Univeristy of Minnesota (2014 - 2016)
- Honored Alumni Distinguished Ecologist Award 2019
- Colorado State University Graduate Degree Program in Ecology, Fall 2019
Peer-to-peer learningtwo-way communicationGroup activitiesActive learning
Remote SensingTerrestrial EcologyEnvironmental scienceCarbon and water cyclingBiogeochemistryEcological climatologyLand Use Change
DissertationRNR 920 (Fall 2020)
Honors Independent StudyRNR 499H (Fall 2020)
PracticumRNR 594 (Fall 2020)
Remote Sens Planet EarthENVS 590 (Fall 2020)
Remote Sens Planet EarthGEOG 590 (Fall 2020)
Remote Sens Planet EarthGEOS 490 (Fall 2020)
Remote Sens Planet EarthGEOS 590 (Fall 2020)
Remote Sens Planet EarthHWRS 590 (Fall 2020)
Remote Sens Planet EarthOPTI 590 (Fall 2020)
Remote Sens Planet EarthREM 490 (Fall 2020)
Remote Sens Planet EarthREM 590 (Fall 2020)
Remote Sens Planet EarthRNR 590 (Fall 2020)
DissertationRNR 920 (Spring 2020)
DissertationRNR 920 (Fall 2019)
Ecological ClimatologyRNR 429 (Fall 2019)
Ecological ClimatologyRNR 529 (Fall 2019)
Remote Sens Planet EarthATMO 590 (Fall 2019)
Remote Sens Planet EarthENVS 590 (Fall 2019)
Remote Sens Planet EarthGEOG 590 (Fall 2019)
Remote Sens Planet EarthGEOS 590 (Fall 2019)
Remote Sens Planet EarthHWRS 590 (Fall 2019)
Remote Sens Planet EarthMNE 590 (Fall 2019)
Remote Sens Planet EarthOPTI 590 (Fall 2019)
Remote Sens Planet EarthREM 590 (Fall 2019)
Remote Sens Planet EarthRNR 590 (Fall 2019)
DissertationRNR 920 (Spring 2019)
Ecosystem EcologyRNR 458 (Spring 2019)
Ecosystem EcologyRNR 558 (Spring 2019)
ThesisRNR 910 (Spring 2019)
Ecological ClimatologyRNR 429 (Fall 2018)
Ecological ClimatologyRNR 529 (Fall 2018)
ThesisRNR 910 (Fall 2018)
Renewable Nat ResourcesRNR 696A (Spring 2018)
Ecological ClimatologyRNR 429 (Fall 2017)
Ecological ClimatologyRNR 529 (Fall 2017)
Renewable Nat ResourcesRNR 696A (Spring 2017)
- Bastos, A., Ciais, P., Chevallier, F., Roedenbeck, C., Ballantyne, A. P., Maignan, F., Yin, Y. i., Fernandez-Martinez, M., Friedlingstein, P., Penuelas, J., Piao, S. L., Sitch, S., Smith, W. K., Wang, X., Zhu, Z., Haverd, V., Kato, E., Jain, A. K., Lienert, S., , Lombardozzi, D., et al. (2019). Contrasting effects of CO2 fertilization, land-use change and warming on seasonal amplitude of Northern Hemisphere CO2 exchange. ATMOSPHERIC CHEMISTRY AND PHYSICS, 19(19), 12361-12375.
- Chen, M., Parton, W. J., Hartman, M. D., Del, G. S., Smith, W. K., Knapp, A. K., Lutz, S., Derner, J., Tucker, C. J., Ojima, D. S., Volesky, J. D., Stephenson, M. B., Schacht, W. H., & Gao, W. (2019). Assessing precipitation, evapotranspiration, and NDVI as controls of US Great Plains plant production. ECOSPHERE, 10(10).
- Dannenberg, M. P., Wise, E. K., & Smith, W. K. (2019). Reduced tree growth in the semiarid United States due to asymmetric responses to intensifying precipitation extremes. SCIENCE ADVANCES, 5(10).
- Levesque, M., Andreu-Hayles, L., Smith, W. K., Williams, A. P., Hobi, M. L., Allred, B. W., & Pederson, N. (2019). Tree-ring isotopes capture interannual vegetation productivity dynamics at the biome scale. NATURE COMMUNICATIONS, 10.
- Renwick, K. M., Fellows, A., Flerchinger, G. N., Lohse, K. A., Clark, P. E., Smith, W. K., Emmett, K., & Poulter, B. (2019). Modeling phenological controls on carbon dynamics in dryland sagebrush ecosystems. AGRICULTURAL AND FOREST METEOROLOGY, 274, 85-94.
- Shiklomanov, A. N., Bradley, B. A., Dahlin, K. M., Fox, A. M., Gough, C. M., Hoffman, F. M., Middleton, E. M., Serbin, S. P., Smallman, L., & Smith, W. K. (2019). Enhancing global change experiments through integration of remote-sensing techniques. FRONTIERS IN ECOLOGY AND THE ENVIRONMENT, 17(4), 215-224.
- Smith, W. K., Dannenberg, M. P., Yan, D., Herrmann, S., Barnes, M. L., Barron-Gafford, G. A., Biederman, J. A., Ferrenberg, S., Fox, A. M., Hudson, A., Knowles, J. F., MacBean, N., Moore, D., Nagler, P. L., Reed, S. C., Rutherford, W. A., Scott, R. L., Wang, X., & Yang, J. (2019). Remote sensing of dryland ecosystem structure and function: Progress, challenges, and opportunities. REMOTE SENSING OF ENVIRONMENT, 233.
- Smith, W. K., Fox, A. M., MacBean, N., Moore, D., & Parazoo, N. C. (2020). Constraining estimates of terrestrial carbon uptake: new opportunities using long-term satellite observations and data assimilation. NEW PHYTOLOGIST, 225(1), 105-112.
- Smith, W. K., Nelson, E., Johnson, J. A., Polasky, S., Milder, J. C., Gerber, J. S., West, P. C., Siebert, S., Brauman, K. A., Carlson, K. M., Arbuthnot, M., Rozza, J. P., & Pennington, D. N. (2019). Voluntary sustainability standards could significantly reduce detrimental impacts of global agriculture. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 116(6), 2130-2137.
- Yan, D., Scott, R. L., Moore, D., Biederman, J. A., & Smith, W. K. (2019). Understanding the relationship between vegetation greenness and productivity across dryland ecosystems through the integration of PhenoCam, satellite, and eddy covariance data. REMOTE SENSING OF ENVIRONMENT, 223, 50-62.
- Yu, K., Smith, W. K., Trugman, A. T., Condit, R., Hubbell, S. P., Sardans, J., Peng, C., Zhu, K., Penuelas, J., Cailleret, M., Levanic, T., Gessler, A., Schaub, M., Ferretti, M., & Anderegg, W. (2019). Pervasive decreases in living vegetation carbon turnover time across forest climate zones. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 116(49), 24662-24667.
- Yuan, W., Zheng, Y. i., Piao, S., Ciais, P., Lombardozzi, D., Wang, Y., Ryu, Y., Chen, G., Dong, W., Hu, Z., Jain, A. K., Jiang, C., Kato, E., Li, S., Lienert, S., Liu, S., Nabel, J., Qin, Z., Quine, T., , Sitch, S., et al. (2019). Increased atmospheric vapor pressure deficit reduces global vegetation growth. SCIENCE ADVANCES, 5(8).
- Buermann, W., Forkel, M., O'Sullivan, M., Sitch, S., Friedlingstein, P., Haverd, V., Jain, A. K., Kato, E., Kautz, M., Lienert, S., Lombardozzi, D. A., Nabel, J., Tian, H., Wiltshire, A. J., Zhu, D., Smith, W. K., & Richardson, A. D. (2018). Widespread seasonal compensation effects of spring warming on northern plant productivity. NATURE, 562(7725), 110-+.
- Dannenberg, M. P., Wise, E. K., Janko, M., Hwang, T., & Smith, W. K. (2018). Atmospheric teleconnection influence on North American land surface phenology. ENVIRONMENTAL RESEARCH LETTERS, 13(3).
- Fox, A. M., Hoar, T. J., Anderson, J. L., Arellano, A. F., Smith, W. K., Litvak, M. E., MacBean, N., Schimel, D. S., & Moore, D. (2018). Evaluation of a Data Assimilation System for Land Surface Models Using CLM4.5. JOURNAL OF ADVANCES IN MODELING EARTH SYSTEMS, 10(10), 2471-2494.
- Robinson, N. P., Allred, B. W., Smith, W. K., Jones, M. O., Moreno, A., Erickson, T. A., Naugle, D. E., & Running, S. W. (2018). Terrestrial primary production for the conterminous United States derived from Landsat 30 m and MODIS 250 m. Remote Sensing in Ecology and Conservation, 4(3), 264-280.
- Sloat, L. L., Gerber, J. S., Samberg, L. H., Smith, W. K., Herrero, M., Ferreira, L. G., Godde, C. M., & West, P. C. (2018). Increasing importance of precipitation variability on global livestock grazing lands. NATURE CLIMATE CHANGE, 8(3), 214-+.
- Smith, W. K. (2018). Distilling the role of ecosystem services in the Sustainable Development Goals. Ecological Indicators, 29, 70-82.
- Smith, W. K. (2018). Evidence of a robust relationship between solar-induced chlorophyll fluorescence and gross primary productivity across dryland ecosystems of southwestern North America. Geophysical Research Letters. doi:10.1002/2017GL075922
- Tucker, C., Yan, D., Dannenberg, M., Reed, S. C., & Smith, W. (2018). Science at the frontier: multimethod research to evaluate ecosystem change across multiple scales. NEW PHYTOLOGIST, 218(4), 1318-1320.
- Wood, S., Jones, S. K., Johnson, J. A., Brauman, K. A., Chaplin-Kramer, R., Fremier, A., Girvetz, E., Gordon, L. J., Kappel, C. V., Mandle, L., Mulligan, M., O'Farrell, P., Smith, W. K., Willemen, L., Zhang, W., & DeClerck, F. A. (2018). Distilling the role of ecosystem services in the Sustainable Development Goals. ECOSYSTEM SERVICES, 29, 70-82.
- Ballantyne, A., Smith, W., Anderegg, W., Kauppi, P., Sarmiento, J., Tans, P., Shevliakova, E., Pan, Y., Poulter, B., Anav, A., Friedlingstein, P., Houghton, R., & Running, S. (2017). Accelerating net terrestrial carbon uptake during the warming hiatus due to reduced respiration. NATURE CLIMATE CHANGE, 7(2), 148-+.
- Biederman, J. A., Scott, R. L., Bell, T. W., Bowling, D. R., Dore, S., Garatuza-Payan, J., Kolb, T. E., Krishnan, P., Krofcheck, D. J., Litvak, M. E., Maurer, G. E., Meyers, T. P., Oechel, W. C., Papuga, S. A., Ponce-Campos, G. E., Rodriguez, J. C., Smith, W. K., Vargas, R., Watts, C. J., , Yepez, E. A., et al. (2017). CO2 exchange and evapotranspiration across dryland ecosystems of southwestern North America. GLOBAL CHANGE BIOLOGY, 23(10), 4204-4221.
- Chen, M., Parton, W. J., Del, G., Hartman, M. D., Day, K. A., Tucker, C. J., Derner, J. D., Knapp, A. K., Smith, W. K., Ojima, D. S., & Gao, W. (2017). The signature of sea surface temperature anomalies on the dynamics of semiarid grassland productivity. ECOSPHERE, 8(12).
- Liu, Y., Piao, S., Lian, X. u., Ciais, P., & Smith, W. K. (2017). Seasonal Responses of Terrestrial Carbon Cycle to Climate Variations in CMIP5 Models: Evaluation and Projection. JOURNAL OF CLIMATE, 30(16), 6481-6503.
- Wang, J., Dong, J., Yi, Y., Lu, G., Oyler, J., Smith, W. K., Zhao, M., Liu, J., & Running, S. (2017). Decreasing net primary production due to drought and slight decreases in solar radiation in China from 2000 to 2012. JOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES, 122(1), 261-278.
- Ahrestani, F. S., Smith, W. K., Hebblewhite, M., Running, S., & Post, E. (2016). Variation in stability of elk and red deer populations with abiotic and biotic factors at the species-distribution scale. ECOLOGY, 97(11), 3184-3194.
- Smith, W. K., Reed, S. C., Cleveland, C. C., Ballantyne, A. P., Anderegg, W., Wieder, W. R., Liu, Y. Y., & Running, S. W. (2016). Large divergence of satellite and Earth system model estimates of global terrestrial CO2 fertilization. NATURE CLIMATE CHANGE, 6(3), 306-310.
- Allred, B. W., Smith, W. K., Twidwell, D., Haggerty, J. H., Running, S. W., Naugle, D. E., & Fuhlendorf, S. D. (2015). Ecosystem services lost to oil and gas in North America. SCIENCE, 348(6233), 401-402.
- Anderegg, W., Ballantyne, A. P., Smith, W. K., Majkut, J., Rabin, S., Beaulieu, C., Birdsey, R., Dunne, J. P., Houghton, R. A., Myneni, R. B., Pan, Y., Sarmiento, J. L., Serota, N., Shevliakova, E., Tans, P., & Pacala, S. W. (2015). Tropical nighttime warming as a dominant driver of variability in the terrestrial carbon sink. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 112(51), 15591-15596.
- Cavaleri, M. A., Reed, S. C., Smith, W. K., & Wood, T. E. (2015). Urgent need for warming experiments in tropical forests. GLOBAL CHANGE BIOLOGY, 21(6), 2111-2121.
- Cleveland, C. C., Taylor, P., Chadwick, K. D., Dahlin, K., Doughty, C. E., Malhi, Y., Smith, W. K., Sullivan, B. W., Wieder, W. R., & Townsend, A. R. (2015). A comparison of plot-based satellite and Earth system model estimates of tropical forest net primary production. GLOBAL BIOGEOCHEMICAL CYCLES, 29(5), 626-644.
- Wieder, W. R., Cleveland, C. C., Smith, W. K., & Todd-Brown, K. (2015). Future productivity and carbon storage limited by terrestrial nutrient availability. NATURE GEOSCIENCE, 8(6), 441-444.
- Wieder, W. R., Cleveland, C. C., Smith, W. K., & Todd-Brown, K. (2015). Reply to 'Land unlikely to become large carbon source'. NATURE GEOSCIENCE, 8(12), 893-894.
- Hurley, M. A., Hebblewhite, M., Gaillard, J., Dray, S., Taylor, K. A., Smith, W. K., Zager, P., & Bonenfant, C. (2014). Functional analysis of Normalized Difference Vegetation Index curves reveals overwinter mule deer survival is driven by both spring and autumn phenology. PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES, 369(1643).
- Small, E. E., Larson, K. M., & Smith, W. K. (2014). Normalized Microwave Reflection Index: Validation of Vegetation Water Content Estimates From Montana Grasslands. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 7(5), 1512-1521.
- Smith, W. K., Cleveland, C. C., Reed, S. C., & Running, S. W. (2014). Agricultural conversion without external water and nutrient inputs reduces terrestrial vegetation productivity. GEOPHYSICAL RESEARCH LETTERS, 41(2), 449-455.
- Sullivan, B. W., Smith, W. K., Townsend, A. R., Nasto, M. K., Reed, S. C., Chazdon, R. L., & Cleveland, C. C. (2014). Spatially robust estimates of biological nitrogen (N) fixation imply substantial human alteration of the tropical N cycle. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 111(22), 8101-8106.
- Wang, J., Dong, J., Liu, J., Huang, M., Li, G., Running, S. W., Smith, W. K., Harris, W., Saigusa, N., Kondo, H., Liu, Y., Hirano, T., & Xiao, X. (2014). Comparison of Gross Primary Productivity Derived from GIMMS NDVI3g, GIMMS, and MODIS in Southeast Asia. REMOTE SENSING, 6(3), 2108-2133.
- Cleveland, C. C., Houlton, B. Z., Smith, W. K., Marklein, A. R., Reed, S. C., Parton, W., Del, G., & Running, S. W. (2013). Patterns of new versus recycled primary production in the terrestrial biosphere. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 110(31), 12733-12737.
- Haberl, H., Erb, K., Krausmann, F., Running, S., Searchinger, T. D., & Smith, W. K. (2013). Bioenergy: how much can we expect for 2050?. ENVIRONMENTAL RESEARCH LETTERS, 8(3).
- Rout, M. E., Chrzanowski, T. H., Smith, W. K., & Gough, L. (2013). Ecological impacts of the invasive grass Sorghum halepense on native tallgrass prairie. BIOLOGICAL INVASIONS, 15(2), 327-339.
- Running, S. W., & Smith, W. K. (2012). Pushing the Planetary Boundaries Response. SCIENCE, 338(6113), 1420-1420.
- Smith, W. K., Cleveland, C. C., Reed, S. C., Miller, N. L., & Running, S. W. (2012). Bioenergy Potential of the United States Constrained by Satellite Observations of Existing Productivity. ENVIRONMENTAL SCIENCE & TECHNOLOGY, 46(6), 3536-3544.
- Smith, W. K., Zhao, M., & Running, S. W. (2012). Global Bioenergy Capacity as Constrained by Observed Biospheric Productivity Rates. BIOSCIENCE, 62(10), 911-922.
- Smith, W. K., Gao, W., Steltzer, H., Wallenstein, M. D., & Tree, R. (2010). Moisture availability influences the effect of ultraviolet-B radiation on leaf litter decomposition. GLOBAL CHANGE BIOLOGY, 16(1), 484-495.
- Litvak, M. E., Fox, A. M., McBean, N., Barnes, M. L., Hudson, A. R., Yan, D., He, M., Kimball, J. S., Scott, R. L., Beiderman, J. A., Moore, D. J., & Smith, W. K. (2017, Dec). B44C-08: Evidence of a robust relationship between solar-induced chlorophyll fluorescence and gross primary productivity across dryland ecosystems of southwestern North America. In AGU Fall Meeting Proceedings.More infoSatellite remote sensing provides unmatched spatiotemporal information on multiple facets of vegetation dynamics including seasonal to interannual total photosynthesis, termed gross primary productivity (GPP). Yet, our understanding of the relationship between GPP and remote sensing observations - and how this relationship changes with scale, biophysical constraint, vegetation type, etc. - remains limited. This knowledge gap is especially apparent for dryland ecosystems, which have high spatial and temporal variability and are under-represented by long-term, continuous field measurements. Here, utilizing a new synthesis of eddy covariance flux tower data for southwestern North America, we present a first assessment of the ability of novel satellite remote sensing vegetation proxies to accurately capture seasonal to interannual GPP dynamics across the region. We evaluate the greenness-based Enhanced Vegetation Index (EVI) and emerging proxies linked to plant physiological function, Solar-Induced Fluorescence (SIF) and Photochemical Reflectivity Index (PRI). We find that SIF observations more consistently correlate with seasonal GPP dynamics (R = 0.90) compared to EVI (R = 0.85) and PRI (R = 0.78). More, we find that SIF observations are also more sensitive to interannual GPP variability (linear slope = 0.80) relative to EVI (linear slope = 0.63) and PRI (linear slope = 0.35). This is likely due to increased sensitivity of SIF to GPP during periods of decoupling between greenness and photosynthesis due to water-limitation / stomatal closure. Conversely, EVI and PRI observations better capture spatial GPP variability between flux tower sites. These results suggest that combinations of these independent vegetation growth proxies could yield synergistic improvements in satellite-based GPP estimates.
- Fox, A. M., Smith, W. K., Hoar, T., & Moore, D. J. (2017, Dec). B43I-03: Initializing carbon cycle predictions from the Community Land Model by assimilating global biomass observations (Invited). AGU Fall Meeting Proceedings.More infoThe locations and longevity of terrestrial carbon sinks remain uncertain, however it is clear that in order to predict long-term climate changes the role of the biosphere in surface energy and carbon balance must be understood and incorporated into earth system models (ESMs). Aboveground biomass, the amount of carbon stored in vegetation, is a key component of the terrestrial carbon cycle, representing the balance of uptake through gross primary productivity (GPP), losses from respiration, senescence and mortality over hundreds of years.The best predictions of current and future land-atmosphere fluxes are likely from the integration of process-based knowledge contained in models and information from observations of changes in carbon stocks using data assimilation (DA). By exploiting long times series, it is possible to accurately detect variability and change in carbon cycle dynamics through monitoring ecosystem states, for example biomass derived from vegetation optical depth (VOD), and use this information to initialize models before making predictions.To make maximum use of information about the current state of global ecosystems when using models we have developed a system that combines the Community Land Model (CLM) with the Data Assimilation Research Testbed (DART), a community tool for ensemble DA. This DA system is highly innovative in its complexity, completeness and capabilities.Here we described a series of activities, using both Observation System Simulation Experiments (OSSEs) and real observations, that have allowed us to quantify the potential impact of assimilating VOD data into CLM-DART on future land-atmosphere fluxes. VOD data are particularly suitable to use in this activity due to their long temporal coverage and appropriate scale when combined with CLM, but their absolute values rely on many assumptions. Therefore, we have had to assess the implications of the VOD retrieval algorithms, with an emphasis on detecting uncertainty due to assumptions and inputs in the algorithms that are incompatible with those encoded within CLM. It is probable that VOD describes changes in biomass more accurately than absolute values, so in additional to sequential assimilation of observations, we have tested alternative filter algorithms, and assimilating VOD anomalies.
- MacBean, N., Scott, R. L., Beiderman, J. A., Vulchard, N., Hudson, A., Barnes, M., Smith, W. K., Peylin, P. P., Maignan, F., & Moore, D. J. (2017, Dec). GC21C-0953: CMIP5 land surface models systematically underestimate inter-annual variability of net ecosystem exchange in semi-arid southwestern North America.. AGU Fall Meeting Proceedings.
- Smith, W. K. (2019, Characterizing and Monitoring Land Change and Associated Ecosystem Responses Using Long-term Time Series Remote Sensing Data). Improved understanding of land cover and land use change impacts on ecosystem functioning using high spatiotemporal resolution satellite observations. AGU Annual Meeting 2019. San Francisco, CA.
- Smith, W. K. (2019, Organized Oral Session: Cutting-Edge Remote Sensing Applications in Ecology: Spanning Scales, Sensors, and Systems.). Monitoring photosynthesis from leaf to canopy using high frequency measurements of chlorophyll fluorescence and photochemical reflectivity from near-surface remote sensing platforms.. Ecological Society of America annual meeting 2019.
- Smith, W. K. (2019, Session: Detecting carbon-climate feedback processes IV.). Constraining the terrestrial CO2 fertilization effect using satellite observations: Challenges and Opportunities. American Geophysical Union Chapman Conference 2019. San Diego, CA.
- Yan, D., Scott, R. L., Moore, D. J., Beiderman, J. A., & Smith, W. K. (2017, Dec). GC21F-0997: Understanding the relationship between vegetation phenology and productivity across key dryland ecosystem types through the integration of PhenoCam, satellite, and eddy covariance data. AGU Fall Meeting Proceedings.
- Smith, W. K., Didan, K., Van Leeuwen, W. J., Moore, D. J., Kimball, J., Jones, M., Dannenberg, M., Yang, D., & Wang, X. (2018, 12). B54C-07 Comparisons of Global Land Surface Phenology Derived from Vegetation Greenness, Optical Depth, and Solar-induced Chlorophyll Fluorescence. American Geophysical Union. Washington DC.
- Smith, W. K., Arellano, A. F., Barnes, M. L., Hudson, A. R., Montane, F., Fox, A. M., & Moore, D. J. (2017, Aug). Combining models and data to understand vegetation function across timescales. 102nd Annual Meeting of the Ecological Society of America. Portland, OR: ESA.
- Gallery, R. E., Smith, W. K., Muscarella, C., Jong, E., Raub, H., Jimenez, J., Gallery, R. E., Smith, W. K., Muscarella, C., Jong, E., Raub, H., & Jimenez, J. (2017, Dec). Soil Microbial Activity Responses to Fire in a Semi-arid Savannah Ecosystem Pre- and Post-Monsoon Season. American Geophysical Union (AGU). New Orleans, LA: AGU.