David Joseph Moore

Interests

Research

Forests, land surface modeling, data assimilation, plant ecology, plant ecophysiology, ecosystems, global carbon cycle, biogeochemical cycling

Teaching

Environmental sustainability, plant ecology, plant ecophysiology, ecosystems, global carbon cycle

Courses

Scholarly Contributions

Chapters

• DeLucia, E. H., Moore, D. J., Hamilton, J. G., Thomas, R. B., Springer, C. J., & Norby, R. J. (2005). The changing role of forests in the global carbon cycle: responding to elevated carbon dioxide in the atmosphere. In Climate change and global food security(pp 187--222). ROUTLEDGE in association with GSE Research.

Journals/Publications

• Javadian, M., Smith, W. K., Lee, K., Knowles, J. F., Scott, R. L., Fisher, J. B., Moore, D. J., Leeuwen, W. J., Barron-Gafford, G., & Behrangi, A. (2022). Canopy temperature is regulated by ecosystem structural traits and captures the ecohydrologic dynamics of a semiarid mixed conifer forest site. Journal of Geophysical Research: Biogeosciences.
• Moore, D. J., & Moore, D. (2022). A framework for incorporating ecology into Earth System Models is urgently needed. Global Change Biology.
• Barnes, M. L., Farella, M. M., Scott, R. L., Moore, D., Ponce-Campos, G. E., Biederman, J. A., MacBean, N., Litvak, M. E., & Breshears, D. D. (2021). Improved dryland carbon flux predictions with explicit consideration of water-carbon coupling. Communications Earth & Environment, 2(1).
• Damerow, J., Albert, L. P., Agarwal, D., Yang, D., Yan, Z., Xu, C., Wullschleger, S. D., Wu, J., Wolfe, B. T., Way, D. A., Warren, J. M., Walker, B. J., Walker, A. P., Varadharajan, C., Vandvik, V., Uddling, J., Tejera, M. D., Taylor, S. H., Stuart-haentjens, E., , Stinziano, J. R., et al. (2021). A reporting format for leaf-level gas exchange data and metadata. Ecological Informatics, 61. doi:10.1016/j.ecoinf.2021.101232
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  Leaf-level gas exchange data support the mechanistic understanding of plant fluxes of carbon and water. These fluxes inform our understanding of ecosystem function, are an important constraint on parameterization of terrestrial biosphere models, are necessary to understand the response of plants to global environmental change, and are integral to efforts to improve crop production. Collection of these data using gas analyzers can be both technically challenging and time consuming, and individual studies generally focus on a small range of species, restricted time periods, or limited geographic regions. The high value of these data is exemplified by the many publications that reuse and synthesize gas exchange data, however the lack of metadata and data reporting conventions make full and efficient use of these data difficult. Here we propose a reporting format for leaf-level gas exchange data and metadata to provide guidance to data contributors on how to store data in repositories to maximize their discoverability, facilitate their efficient reuse, and add value to individual datasets. For data users, the reporting format will better allow data repositories to optimize data search and extraction, and more readily integrate similar data into harmonized synthesis products. The reporting format specifies data table variable naming and unit conventions, as well as metadata characterizing experimental conditions and protocols. For common data types that were the focus of this initial version of the reporting format, i.e., survey measurements, dark respiration, carbon dioxide and light response curves, and parameters derived from those measurements, we took a further step of defining required additional data and metadata that would maximize the potential reuse of those data types. To aid data contributors and the development of data ingest tools by data repositories we provided a translation table comparing the outputs of common gas exchange instruments. Extensive consultation with data collectors, data users, instrument manufacturers, and data scientists was undertaken in order to ensure that the reporting format met community needs. The reporting format presented here is intended to form a foundation for future development that will incorporate additional data types and variables as gas exchange systems and measurement approaches advance in the future. The reporting format is published in the U.S. Department of Energy's ESS-DIVE data repository, with documentation and future development efforts being maintained in a version control system.
• Dannenberg, M. P., Smith, W. K., Zhang, Y., Song, C., Huntzinger, D. N., & Moore, D. (2021). Large-Scale Reductions in Terrestrial Carbon Uptake Following Central Pacific El Ni~{n}o. Geophysical Research Letters, 48(7).
• Smith, W. K., Macbean, N., Keeling, R. F., Frank, D. C., Zuidema, P. A., Zaehle, S., Whelan, M. E., Walker, A. P., Voelker, S. L., Trumbore, S. E., Trugman, A. T., Treseder, K. K., Torn, M. S., Terrer, C., Taylor, B. N., Sulman, B. N., Smith, W. K., Sitch, S., Schleucher, J., , Sabot, M. E., et al. (2021). Integrating the evidence for a terrestrial carbon sink caused by increasing atmospheric CO2.. The New phytologist, 229(5), 2413-2445. doi:10.1111/nph.16866
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  Atmospheric carbon dioxide concentration ([CO2 ]) is increasing, which increases leaf-scale photosynthesis and intrinsic water-use efficiency. These direct responses have the potential to increase plant growth, vegetation biomass, and soil organic matter; transferring carbon from the atmosphere into terrestrial ecosystems (a carbon sink). A substantial global terrestrial carbon sink would slow the rate of [CO2 ] increase and thus climate change. However, ecosystem CO2 responses are complex or confounded by concurrent changes in multiple agents of global change and evidence for a [CO2 ]-driven terrestrial carbon sink can appear contradictory. Here we synthesize theory and broad, multidisciplinary evidence for the effects of increasing [CO2 ] (iCO2 ) on the global terrestrial carbon sink. Evidence suggests a substantial increase in global photosynthesis since pre-industrial times. Established theory, supported by experiments, indicates that iCO2 is likely responsible for about half of the increase. Global carbon budgeting, atmospheric data, and forest inventories indicate a historical carbon sink, and these apparent iCO2 responses are high in comparison to experiments and predictions from theory. Plant mortality and soil carbon iCO2 responses are highly uncertain. In conclusion, a range of evidence supports a positive terrestrial carbon sink in response to iCO2 , albeit with uncertain magnitude and strong suggestion of a role for additional agents of global change.
• Smith, W. K., Zhang, Y., Song, C., Smith, W. K., Moore, D. J., Huntzinger, D. N., & Dannenberg, M. P. (2021). Large‐Scale Reductions in Terrestrial Carbon Uptake Following Central Pacific El Niño. Geophysical Research Letters, 48(7). doi:10.1029/2020gl092367
• Taylor, A. H., Rayback, S. A., Moore, D. J., Maxwell, R. S., Guerrieri, R., Davis, K. J., & Belmecheri, S. (2021). Precipitation alters the CO2 effect on water-use efficiency of temperate forests.. Global change biology, 27(8), 1560-1571. doi:10.1111/gcb.15491
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  Increasing water-use efficiency (WUE), the ratio of carbon gain to water loss, is a key mechanism that enhances carbon uptake by terrestrial vegetation under rising atmospheric CO2 (ca ). Existing theory and empirical evidence suggest a proportional WUE increase in response to rising ca as plants maintain a relatively constant ratio between the leaf intercellular (ci ) and ambient (ca ) partial CO2 pressure (ci /ca ). This has been hypothesized as the main driver of the strengthening of the terrestrial carbon sink over the recent decades. However, proportionality may not characterize CO2 effects on WUE on longer time-scales and the role of climate in modulating these effects is uncertain. Here, we evaluate long-term WUE responses to ca and climate from 1901 to 2012 CE by reconstructing intrinsic WUE (iWUE, the ratio of photosynthesis to stomatal conductance) using carbon isotopes in tree rings across temperate forests in the northeastern USA. We show that iWUE increased steadily from 1901 to 1975 CE but remained constant thereafter despite continuously rising ca . This finding is consistent with a passive physiological response to ca and coincides with a shift to significantly wetter conditions across the region. Tree physiology was driven by summer moisture at multi-decadal time-scales and did not maintain a constant ci /ca in response to rising ca indicating that a point was reached where rising CO2 had a diminishing effect on tree iWUE. Our results challenge the mechanism, magnitude, and persistence of CO2 's effect on iWUE with significant implications for projections of terrestrial productivity under a changing climate.
• Trouet, V., Rollinson, C. R., Pederson, N., Moore, D. J., Dye, A. W., & Alexander, M. R. (2021). Climate sensitivity of understory trees differs from overstory trees in temperate mesic forests.. Ecology, 102(3), e03264. doi:10.1002/ecy.3264
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  The response of understory trees to climate variability is key to understanding current and future forest dynamics. However, analyses of climatic effects on tree growth have primarily focused on the upper canopy, leaving understory dynamics unresolved. We analyzed differences in climate sensitivity based on canopy position of four common tree species (Acer rubrum, Fagus grandifolia, Quercus rubra, and Tsuga canadensis) using growth information from 1,084 trees across eight sites in the northeastern United States. Effects of canopy position on climate response varied, but were significant and often nonlinear, for all four species. Compared to overstory trees, understory trees showed stronger reductions in growth at high temperatures and varied shifts in precipitation response. This contradicts the prevailing assumption that climate responses, particularly to temperature, of understory trees are buffered by the overstory. Forest growth trajectories are uncertain in compositionally and structurally complex forests, and future demography and regeneration dynamics may be misinferred if not all canopy levels are represented in future forecasts.
• Williams, J. W., Trachsel, M., Steinkamp, J., Rollinson, C. R., Raiho, A. M., Quaife, T., Poulter, B., Moore, D. J., Mclachlan, J. S., Jackson, S. T., Hickler, T., Dietze, M. C., & Dawson, A. (2021). Forest responses to last-millennium hydroclimate variability are governed by spatial variations in ecosystem sensitivity.. Ecology letters, 24(3), 498-508. doi:10.1111/ele.13667
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  Forecasts of future forest change are governed by ecosystem sensitivity to climate change, but ecosystem model projections are under-constrained by data at multidecadal and longer timescales. Here, we quantify ecosystem sensitivity to centennial-scale hydroclimate variability, by comparing dendroclimatic and pollen-inferred reconstructions of drought, forest composition and biomass for the last millennium with five ecosystem model simulations. In both observations and models, spatial patterns in ecosystem responses to hydroclimate variability are strongly governed by ecosystem sensitivity rather than climate exposure. Ecosystem sensitivity was higher in models than observations and highest in simpler models. Model-data comparisons suggest that interactions among biodiversity, demography and ecophysiology processes dampen the sensitivity of forest composition and biomass to climate variability and change. Integrating ecosystem models with observations from timescales extending beyond the instrumental record can better understand and forecast the mechanisms regulating forest sensitivity to climate variability in a complex and changing world.
• Drake, J. E., Gallet-Budynek, A., Hofmockel, K. S., Bernhardt, E. S., Billings, S. A., Jackson, R. B., Johnsen, K. S., Lichter, J., McCarthy, H. R., McCormack, M. L., & others, . (2020). Sch lesinger WH, DeLucia EH, Finzi AC (2011) Increases in the flux of carbon belowground stimulate nitrogen uptake and sustain the long-term enhancement of forest produc tivity under elevated C02. Ecol Lett, 14, 349--357.
• Espinosa, N. J., Moore, D. J., Rasmussen, C., Fehmi, J. S., & Gallery, R. E. (2020). Woodchip and biochar amendments differentially influence microbial responses, but do not enhance plant recovery in disturbed semiarid soils. Restoration Ecology.
• Gallery, R. E., Fehmi, J. S., Rasmussen, C., Moore, D. J., & Espinosa, N. (2020). Woodchip and biochar amendments elicit different microbial responses and revegetation success in semi-arid ecosystem soils. Restoration Ecology.
• Li, J., Yu, T., Javed, I., Siddagunta, C., Pakpahan, R., Langston, M. E., Dennis, L. K., Kingfield, D. M., Moore, D. J., Andriole, G. L., & others, . (2020). Does weather trigger urologic chronic pelvic pain syndrome flares? A case-crossover analysis in the multidisciplinary approach to the study of the chronic pelvic pain research network. Neurourology and Urodynamics.
• Macbean, N., Vuichard, N., Scott, R. L., Ottle, C., Moore, D. J., Macbean, N., Litvak, M. E., Kolb, T., Ducharne, A., Dore, S., & Biederman, J. A. (2020). Testing water fluxes and storage from two hydrology configurations within the ORCHIDEE land surface model across US semi-arid sites. Hydrology and Earth System Sciences, 24(11), 5203-5230. doi:10.5194/hess-24-5203-2020
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  Abstract. Plant activity in semi-arid ecosystems is largely controlled by pulses of precipitation, making them particularly vulnerable to increased aridity that is expected with climate change. Simple bucket-model hydrology schemes in land surface models (LSMs) have had limited ability in accurately capturing semi-arid water stores and fluxes. Recent, more complex, LSM hydrology models have not been widely evaluated against semi-arid ecosystem in situ data. We hypothesize that the failure of older LSM versions to represent evapotranspiration, ET, in arid lands is because simple bucket models do not capture realistic fluctuations in upper-layer soil moisture. We therefore predict that including a discretized soil hydrology scheme based on a mechanistic description of moisture diffusion will result in an improvement in model ET when compared to data because the temporal variability of upper-layer soil moisture content better corresponds to that of precipitation inputs. To test this prediction, we compared ORCHIDEE LSM simulations from (1) a simple conceptual 2-layer bucket scheme with fixed hydraulic parameters and (2) an 11-layer discretized mechanistic scheme of moisture diffusion in unsaturated soil based on Richards equations, against daily and monthly soil moisture and ET observations, together with data-derived estimates of transpiration / evapotranspiration, T∕ET , ratios, from six semi-arid grass, shrub, and forest sites in the south-western USA. The 11-layer scheme also has modified calculations of surface runoff, water limitation, and resistance to bare soil evaporation, E , to be compatible with the more complex hydrology configuration. To diagnose remaining discrepancies in the 11-layer model, we tested two further configurations: (i) the addition of a term that captures bare soil evaporation resistance to dry soil; and (ii) reduced bare soil fractional vegetation cover. We found that the more mechanistic 11-layer model results in a better representation of the daily and monthly ET observations. We show that, as predicted, this is because of improved simulation of soil moisture in the upper layers of soil (top ∼ 10 cm ). Some discrepancies between observed and modelled soil moisture and ET may allow us to prioritize future model development and the collection of additional data. Biases in winter and spring soil moisture at the forest sites could be explained by inaccurate soil moisture data during periods of soil freezing and/or underestimated snow forcing data. Although ET is generally well captured by the 11-layer model, modelled T∕ET ratios were generally lower than estimated values across all sites, particularly during the monsoon season. Adding a soil resistance term generally decreased simulated bare soil evaporation, E , and increased soil moisture content, thus increasing transpiration, T , and reducing the negative bias between modelled and estimated monsoon T∕ET ratios. This negative bias could also be accounted for at the low-elevation sites by decreasing the model bare soil fraction, thus increasing the amount of transpiring leaf area. However, adding the bare soil resistance term and decreasing the bare soil fraction both degraded the model fit to ET observations. Furthermore, remaining discrepancies in the timing of the transition from minimum T∕ET ratios during the hot, dry May–June period to high values at the start of the monsoon in July–August may also point towards incorrect modelling of leaf phenology and vegetation growth in response to monsoon rains. We conclude that a discretized soil hydrology scheme and associated developments improve estimates of ET by allowing the modelled upper-layer soil moisture to more closely match the pulse precipitation dynamics of these semi-arid ecosystems; however, the partitioning of T from E is not solved by this modification alone.
• Monson, R. K., Winkler, B., Rosenstiel, T. N., Block, K., Merl-Pham, J., Strauss, S. H., Ault, K., Maxfield, J., Moore, D. J., Trahan, N. A., & others, . (2020). High productivity in hybrid-poplar plantations without isoprene emission to the atmosphere. Proceedings of the National Academy of Sciences, 117(3), 1596--1605.
• Murphy, P. C., Knowles, J. F., Moore, D. J., Anchukaitis, K., Potts, D. L., & Barron-Gafford, G. A. (2020). Topography influences species-specific patterns of seasonal primary productivity in a semiarid montane forest. Tree Physiology.
• Roby, M. C., Scott, R. L., & Moore, D. (2020). High Vapor Pressure Deficit Decreases the Productivity and Water Use Efficiency of Rain-Induced Pulses in Semiarid Ecosystems. Journal of Geophysical Research: Biogeosciences, 125(10).
• Rollinson, C. R., Alexander, M. R., Dye, A. W., Moore, D. J., Pederson, N., & Trouet, V. (2020). Climate sensitivity of understory trees differs from overstory trees in temperate mesic forests. Ecology, e03264.
• Rollinson, C. R., Dawson, A., Raiho, A. M., Williams, J. W., Dietze, M. C., Hickler, T., Jackson, S. T., McLachlan, J., JP, M. D., Poulter, B., & others, . (2020). Forest responses to last-millennium hydroclimate variability are governed by spatial variations in ecosystem sensitivity. Ecology Letters.
• Scott, R. L., Roby, M., & Moore, D. J. (2020). High Vapor Pressure Deficit Decreases the Productivity and Water Use Efficiency of Rain‐Induced Pulses in Semiarid Ecosystems. Journal of Geophysical Research, 125(10). doi:10.1029/2020jg005665
• Smith, W. K., Fox, A. M., MacBean, N., Moore, D. J., & 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., Leeuwen, W. J., Yan, D., Wang, X., Smith, W. K., Moore, D. J., Leeuwen, W. J., Kimball, J. S., Jones, M. O., Didan, K., & Dannenberg, M. P. (2020). Globally Consistent Patterns of Asynchrony in Vegetation Phenology Derived From Optical, Microwave, and Fluorescence Satellite Data. Journal of Geophysical Research, 125(7). doi:10.1029/2020jg005732
• Trouet, V. M., Pederson, N., Moore, D. J., Dye, A., Rollinson, C., & Alexander, R. M. (2020). Climate sensitivity of understory trees differs from overstory trees in temperate mesic forests.. Ecology. doi:https://doi.org/10.1002/ecy.3264
• Walker, A. P., Kauwe, M., Bastos, A., Belmecheri, S., Georgiou, K., Keeling, R. F., McMahon, S. M., Medlyn, B. E., Moore, D., Norby, R. J., Zaehle, S., Anderson-Teixeira, K. J., Battipaglia, G., Brienen, R., Cabugao, K. G., Cailleret, M., Campbell, E., Canadell, J. G., Ciais, P., , Craig, M. E., et al. (2020). Integrating the evidence for a terrestrial carbon sink caused by increasing atmospheric CO 2. New Phytologist, 229(5), 2413--2445.
• Wang, X., Dannenberg, M. P., Yan, D., Jones, M. O., Kimball, J. S., Moore, D., Leeuwen, W., Didan, K., & Smith, W. K. (2020). Globally Consistent Patterns of Asynchrony in Vegetation Phenology Derived From Optical, Microwave, and Fluorescence Satellite Data. Journal of Geophysical Research: Biogeosciences, 125(7).
• Alexander, M. R., Rollinson, C. R., Moore, D. J., Speer, J. H., & Rubino, D. L. (2017). Determination of Death Dates of Coarse Woody Debris of Multiple Species in the Central Hardwood Region (Indiana, USA).. Tree-Ring Research.
• Dannenberg, M. P., Zhang, Y., Song, C., Huntzinger, D. N., Moore, D. J., & Smith, W. K. (2019). Large-scale reductions in terrestrial carbon uptake due to central Pacific El Ni~no revealed by remote sensing and land surface models. AGUFM, 2019, B54B--08.
• Espinosa, N. J., Moore, D. J., Rasmussen, C., Fehmi, J. S., & Gallery, R. E. (2019). Buried woodchips or biochar as a means of soil productivity and carbon restoration: Effects on microbial activities, soil carbon cycling and plant cover in a semiarid ecosystem. AGUFM, 2019, B21J--2332.
• Evans, M. E., Zhang, Z., Turton, R., Trouet, V. M., Record, S., Poulter, B., Mahecha, M., Frank, D. C., Enquist, B. J., Eckes, A., Dietze, M. C., DeRose, R. J., Dawson, A., Bouriaud, O., Bjorklund, J., Seftigen, K., Moore, D. J., Klesse, S., Girardin, M., , Friend, A., et al. (2017). When tree rings go global: challenges and opportunities for retro- and prospective insight. Quarternary Science Reviews.
• Hudson, A. R., Alfaro-Sanchez, R., Babst, F., Belmecheri, S., Moore, D. J., & Trouet, V. (2019). Seasonal and synoptic climatic drivers of tree growth in the Bighorn Mountains, WY, USA (1654--1983 CE). Dendrochronologia, 58, 125633.
• Hudson, A., Smith, W. K., Moore, D. J., & Trouet, V. (2019). Seasonal jet stream controls on surface climate influence the timing of plant growth: a mechanistic perspective on landscape phenology shifts in a warming world. AGUFM, 2019, B32C--08.
• Kannenberg, S. A., Novick, K. A., Alexander, M. R., Maxwell, J. T., Moore, D. J., Phillips, R. P., & Anderegg, W. R. (2019). Linking drought legacy effects across scales: From leaves to tree rings to ecosystems. Global change biology, 25(9), 2978--2992.
• Keenan, T. F., Moore, D. J., & Desai, A. (2019). Growth and opportunities in networked synthesis through AmeriFlux. New Phytologist, 222(4), 1685--1687.
• Lybrand, R., Gallery, R. E., Trahan, N. A., & Moore, D. J. (2017). Disturbance alters the relative importance of topographic and biogeochemical controls on microbial activity in temperate montane forests. Forests.
• MacBean, N., Scott, R. L., Biederman, J. A., & Moore, D. J. (2019). Terrestrial biosphere models underestimate the mean and inter-annual variability of net CO 2 fluxes in semi-arid ecosystems. AGUFM, 2019, B53K--2539.
• MacBean, N., Scott, R. L., Biederman, J. A., Ottl'e, C., Vuichard, N., Ducharne, A., Kolb, T., Dore, S., Litvak, M., & Moore, D. J. (2019). Multi-variable, multi-configuration testing of ORCHIDEE land surface model water flux and storage estimates across semi-arid sites in the southwestern US. Hydrology and Earth System Sciences Discussions, 1--44.
• Moore, D. J., Hudson, A., Macbean, N., Smith, W. K., & Novick, K. A. (2019). Examining the effects of state factors on ecosystem carbon fluxes in North America.. AGUFM, 2019, B32D--06.
• Moore, D. J., Nicole, T., Gallery, R. E., & Rebecca, L. (2017). Topographic and geochemical controls on microbial activity in undisturbed and disturbed forests.. Forests.
• Novick, K. A., & Moore, D. J. (2019). More than NEE: The rich problem-solving potential of land-atmosphere flux observation networks. AGUFM, 2019, B13C--08.
• Roby, M. C., Scott, R. L., Barron-Gafford, G. A., Hamerlynck, E. P., & Moore, D. J. (2019). Environmental and Vegetative Controls on Soil CO2 Efflux in Three Semiarid Ecosystems. Soil Systems, 3(1), 6.
• Roby, M., Scott, R. L., & Moore, D. J. (2019). The influence of vapor pressure deficit on rain-induced pulses of land-air carbon exchange in drylands. AGUFM, 2019, B12A--04.
• 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., & others, . (2019). Remote sensing of dryland ecosystem structure and function: Progress, challenges, and opportunities. Remote Sensing of Environment, 233, 111401.
• Steiner, B., Moore, D. J., Scott, R. L., & Hu, J. (2019). Unraveling Ecosystem Carbon Uptake into its Component Plant Species Contributions using Phenology. AGUFM, 2019, B33K--2647.
• 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, T., Sutcliffe, S., Siddagunta, C., Pakpahan, R., Moore, D. J., Li, J., Langston, M. E., Lai, H. H., Kos, L., Kingfield, D. M., Javed, I., Dennis, L. K., Colditz, G. A., & Andriole, G. L. (2019). A case-crossover analysis of weather as a urologic chronic pelvic pain syndrome flare trigger in the Multidisciplinary Approach to the Study of Chronic Pelvic Pain (MAPP) Research Network. Neurourology and Urodynamics.
• Alexander, M. R., Rollinson, C. R., Babst, F., Trouet, V., & Moore, D. J. (2018). Relative influences of multiple sources of uncertainty on cumulative and incremental tree-ring-derived aboveground biomass estimates. Trees, 32(1), 265--276.
• Alexander, M. R., Rollinson, C. R., Moore, D. J., Speer, J. H., & Rubino, D. L. (2018). Determination of Death Dates of Coarse Woody Debris of Multiple Species in the Central Hardwood Region (Indiana, USA). Tree-ring research, 74(2), 135--143.
• Babst, F., Bodesheim, P., Charney, N., Friend, A. D., Girardin, M. P., Klesse, S., Moore, D. J., Seftigen, K., Bj\"orklund, J., Bouriaud, O., & others, . (2018). When tree rings go global: challenges and opportunities for retro-and prospective insight. Quaternary Science Reviews, 197, 1--20.
• Babst, F., Evans, M. E., Bodesheim, P., Zhang, Z., Charney, N., Turton, R., Friend, A., Trouet, V. M., Girardin, M., Record, S., Klesse, S., Poulter, B., Mahecha, M., Moore, D. J., Seftigen, K., Frank, D. C., Bjorklund, J., Enquist, B. J., Eckes, A., , Bouriaud, O., et al. (2018). When tree rings go global: challenges and opportunities for retro- and prospective insight. Quarternary Science Reviews, 197, 1-20. doi:https://doi.org/10.1016/j.quascirev.2018.07.009
• Barnes, M., Moore, D. J., & Moran, S. (2018). Consideration of sub-annual climate conditions improves understanding of vegetation response to drought in the Southwest.
• Barnes, M., Novick, K. A., Breshears, D. D., Moore, D. J., Scott, R. L., Biederman, J. A., Ponce-Campos, G. E., & MacBean, N. (2018). Lessons from the semi-arid West: drought controls carbon uptake dynamics in mesic Eastern US forests. AGUFM, 2018, H11W--1784.
• 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. J. (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.
• Fox, A. M., Hoar, T. J., Anderson, J. L., Smith, W. K., Schimel, D., & Moore, D. J. (2018). Reducing Uncertainty in Global Carbon Fluxes from the Community Land Model Through Assimilating Remotely-Sensed Land Surface Properties. AGUFM, 2018, B41J--2847.
• Hudson, A., Moore, D. J., & Trouet, V. (2018). When and where are plants responding to synoptic circulations?. AGUFM, 2018, B51H--2037.
• Lybrand, R. A., Gallery, R. E., Trahan, N. A., & Moore, D. J. (2018). Disturbance Alters the Relative Importance of Topographic and Biogeochemical Controls on Microbial Activity in Temperate Montane Forests. Forests, 9(2), 97.
• MacBean, N., Scott, R. L., Biederman, J. A., Kolb, T., Dore, S., Vuichard, N., Ducharne, A., Peylin, P. P., & Moore, D. J. (2018). What impact do plant and soil hydrologic schemes of varying complexity have on simulated water and carbon fluxes across semi-arid sites in the southwestern US?. AGUFM, 2018, B21M--2536.
• Moore, D. J., Dawson, A., Peters, J., Paciorek, C. J., Steinkamp, J., Pederson, N., D'Amato, A. W., Fox, A. M., MacBean, N., Goring, S. J., & others, . (2018). Regional loss of long-lived tree species reduces the capacity of the biosphere to store carbon over centuries. AGUFM, 2018, B51J--2086.
• Novick, K. A., Biederman, J. A., Desai, A. R., Litvak, M. E., Moore, D., Scott, R. L., & Torn, M. S. (2018). The AmeriFlux network: A coalition of the willing. Agricultural and Forest Meteorology, 249, 444--456.
• Smith, W. K., Biederman, J. A., Scott, R. L., Moore, D., He, M., Kimball, J. S., Yan, D., Hudson, A., Barnes, M. L., MacBean, N., & others, . (2018). Chlorophyll fluorescence better captures seasonal and interannual gross primary productivity dynamics across dryland ecosystems of southwestern North America. Geophysical Research Letters, 45(2), 748--757.
• Swann, A. L., Lagu\"e, M. M., Garcia, E. S., Field, J. P., Breshears, D. D., Moore, D. J., Saleska, S. R., Stark, S. C., Villegas, J. C., Law, D. J., & others, . (2018). Continental-scale consequences of tree die-offs in North America: identifying where forest loss matters most. Environmental Research Letters, 13(5), 055014.
• Swann, A. L., Lagu\"e, M. M., Garcia, E. S., Field, J. P., Breshears, D. D., Moore, D. J., Saleska, S. R., Stark, S. C., Villegas, J. C., Law, D. J., & others, . (2018). Productivity and Climate Responses to Forest loss in North American Ecoregions.
• Swann, A. L., Lague, M. M., Garcia, E., Field, J. P., Breshears, D. D., Moore, D. J., Saleska, S. R., Stark, S. C., Villegas, J. C., Law, D., & others, . (2018). Continental-scale consequences of tree die-offs in North America. AGUFM, 2018, B34A--02.
• Toomey, M., Richardson, A. D., Weltzin, J. F., Berukoff, S., Elmendorf, S., Loescher, H., Friedl, M., Jones, M., Luo, H., & Moore, D. J. (2018). Integrating Phenocam and USA National Phenology Network continental-scale approaches into NEON phenology data products.
• Wang, X., Yan, D., Dannenberg, M. P., Jones, M., Kimball, J., Moore, D. J., Van, L., Didan, K., & Smith, W. K. (2018). Comparisons of Global Land Surface Phenology Derived from Vegetation Greenness, Optical Depth, and Solar-induced Chlorophyll Fluorescence. AGUFM, 2018, B54C--07.
• Yan, D., Scott, R. L., Biederman, J. A., Barron-Gafford, G., Yang, X. i., Moore, D. J., Dannenberg, M. P., Wang, X., Knowles, J. F., Yang, J., & others, . (2018). Quantifying plant physiological response to water stress with high-frequency, near-surface observations of chlorophyll fluorescence and photochemical reflectivity. AGUFM, 2018, B31N--2694.
• Alexander, M. R., Rollinson, C. R., Babst, F., Trouet, V., & Moore, D. J. (2017). Relative influences of multiple sources of uncertainty on cumulative and incremental tree-ring-derived aboveground biomass estimates. Trees, 1--12.
• Barnes, M. L., Breshears, D. D., Law, D. J., Van, L., Monson, R. K., Fojtik, A. C., Barron-Gafford, G. A., & Moore, D. J. (2017). Beyond greenness: Detecting temporal changes in photosynthetic capacity with hyperspectral reflectance data. PloS one, 12(12).
• Breshears, D. D., Allen, C. D., McDowell, N. G., Adams, H. D., Barnes, M., Barron-Gafford, G., Bradford, J. B., Cobb, N., Field, J. P., Froend, R., & others, . (2017). Predicting Tree Mortality Die-off Events Associated with Hotter Drought and Assessing Their Global Consequences via Ecoclimate Teleconnections.. AGUFM, 2017, GC13N--02.
• Christine, R. (2017). Emergent climate and CO2 sensitivities of net primary productivity in ecosystem models do not agree with empirical data in temperate forests of eastern North America. Global change biology, 23(7), 2755--2767.
• Huntzinger, D. N., Cooley, S. R., & Moore, D. J. (2017). Future Projections and Consequences of the Changing North American Carbon Cycle. AGUFM, 2017, B41G--2049.
• Marlon, J. R., Pederson, N., Connor, N., Goring, S., Shuman, B., Robertson, A., Booth, R., Bartlein, P. J., Berke, M. A., Clifford, M., & others, . (2017). Climatic history of the northeastern United States during the past 3000 years. Climate of the Past, 13(10), 1355.
• Marlon, J. R., Pederson, N., Nolan, C., Goring, S., Shuman, B., Robertson, A., Booth, R., Bartlein, P. J., Berke, M. A., Clifford, M., & others, . (2017). Climatic history of the northeastern United States during the past 3000 years.
• Montan\'e, F., Fox, A. M., Arellano, A. F., MacBean, N., Alexander, M. R., Dye, A., Bishop, D. A., Trouet, V., Babst, F., Hessl, A. E., & others, . (2017). Evaluating the effect of alternative carbon allocation schemes in a land surface model (CLM4. 5) on carbon fluxes, pools, and turnover in temperate forests. Geoscientific Model Development (Online), 10(9).
• Montan\'e, F., Fox, A. M., Arellano, A. F., MacBean, N., Alexander, M. R., Dye, A., Bishop, D. A., Trouet, V., Babst, F., Hessl, A. E., & others, . (2017). Evaluating the effect of alternative carbon allocation schemes in a land surface model (CLM4. 5) on carbon fluxes, pools, and turnover in temperate forests. Geoscientific Model Development, 10(9), 3499.
• Novick, K. A., Biederman, J. A., Desai, A. R., Litvak, M. E., Moore, D., Scott, R. L., & Torn, M. S. (2017). The AmeriFlux network: A coalition of the willing. Agricultural and Forest Meteorology.
• Barnes, M. L., Moran, M. S., Scott, R. L., Kolb, T. E., Ponce-Campos, G. E., Moore, D. J., Ross, M. A., Mitra, B., & Dore, S. (2016). Vegetation productivity responds to sub-annual climate conditions across semiarid biomes. Ecosphere, 7(5), e01339.
• Barnes, M. L., Moran, M. S., Scott, R. L., Kolb, T. E., Ponce-Campos, G. E., Moore, D. J., Ross, M. A., Mitra, B., & Dore, S. (2016). Vegetation productivity responds to sub-annual climate conditions across semiarid biomes. Ecosphere, 7(5).
• Barnes, M., Moran, S., Scott, R., Kolb, T., Moore, D. J., Ross, M., Mitra, B., & Dore, S. (2016). Vegetation response to climate variability in the Southwestern United States.. Ecosphere, 7(5). doi:10.1002/ecs2.1339
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  Barnes, M., Moran, M.S., Scott, R.L., Kolb, T.E., Ponce-Campos, G., Moore, D.J.P., Ross, M.A., Mitra, B., Dore, S. (In Press) Vegetation response to climate variability in the Southwestern United States. Ecosphere. Accepted 11/04/2015.
• Brown, T. B., Hultine, K. R., Steltzer, H., Denny, E. G., Denslow, M. W., Granados, J., Henderson, S., Moore, D., Nagai, S., SanClements, M., & others, . (2016). Using phenocams to monitor our changing Earth: toward a global phenocam network. Frontiers in Ecology and the Environment, 14(2), 84--93.
• Elmendorf, S. C., Jones, K. D., Cook, B. I., Diez, J. M., Enquist, C. A., Hufft, R. A., Jones, M. O., Mazer, S. J., Miller-Rushing, A. J., Moore, D. J., & others, . (2016). The plant phenology monitoring design for the National Ecological Observatory Network. Ecosphere, 7(4), e01303.
• Elmendorf, S. C., Jones, K. D., Cook, B. I., Diez, J. M., Enquist, C. A., Hufft, R. A., Jones, M. O., Mazer, S. J., Miller-Rushing, A. J., Moore, D. J., & others, . (2016). The plant phenology monitoring design for the national ecological observatory network. Ecosphere, 7(4).
• Hudson, A., Trouet, V., Belmecheri, S., & Moore, D. J. (2016). Validating the Spring Jet Stream Indices Using Extended Spring Index (SI-x) Models. AGUFM, 2016, B11D--0497.
• Huntzinger, D. N., Chatterjee, A., Cooley, S. R., Dunne, J. P., Hoffman, F. M., Luo, Y., Moore, D. J., Ohrel, S. B., Poulter, B., Ricciuto, D. M., & others, . (2016). The future of the North American carbon cycle-projections and associated climate change. AGUFM, 2016, GC23K--17.
• Maurer, G. E., Chan, A. M., Trahan, N. A., Moore, D. J., & Bowling, D. R. (2016). Carbon isotopic composition of forest soil respiration in the decade following bark beetle and stem girdling disturbances in the Rocky Mountains. Plant, cell \& environment, 39(7), 1513--1523.
• Monson, R. K., Neice, A. A., Trahan, N. A., Shiach, I., McCorkel, J. T., & Moore, D. J. (2016). Interactions between temperature and intercellular CO2 concentration in controlling leaf isoprene emission rates. Plant, Cell \& Environment, 39(11), 2404--2413.
• Moore, D. J., Cooley, S. R., Alin, S. R., Brown, M. E., Butman, D. E., French, N. H., Johnson, Z. I., Keppel-Aleks, G., Lohrenz, S. E., Ocko, I., & others, . (2016). State of the Carbon Cycle-Consequences of Rising Atmospheric CO 2. AGUFM, 2016, GC23K--16.
• Moore, D. J., McLachlan, J. S., Rocha, A. V., Peters, J., Dawson, A., Raiho, A., Blakely, B., Heilman, K., Paciorek, C. J., Read, Q., & others, . (2015). The loss of late successional species has a disproportionate impact on terrestrial carbon storage in North America. AGUFM, 2015, GC12B--06.
• Trahan, N. A., Dynes, E. L., Pugh, E., Moore, D. J., & Monson, R. K. (2015). Changes in soil biogeochemistry following disturbance by girdling and mountain pine beetles in subalpine forests. Oecologia, 177(4), 981--995.
• Babst, F., Alexander, M. R., Szejner, P., Bouriaud, O., Klesse, S., Roden, J., Ciais, P., Poulter, B., Frank, D., Moore, D. J., & others, . (2014). A tree-ring perspective on the terrestrial carbon cycle. Oecologia, 176(2), 307--322.
• Matthes, J. H., Dietze, M., Fox, A. M., Goring, S. J., McLachlan, J. S., Moore, D. J., Poulter, B., Quaife, T. L., Schaefer, K. M., Steinkamp, J., & others, . (2014). Constraining Centennial-Scale Ecosystem-Climate Interactions with a Pre-colonial Forest Reconstruction across the Upper Midwest and Northeastern United States. AGUFM, 2014, B24B--07.
• Zobitz, J. M., Moore, D. J., Quaife, T., Braswell, B. H., Bergeson, A., Anthony, J. A., & Monson, R. K. (2014). Joint data assimilation of satellite reflectance and net ecosystem exchange data constrains ecosystem carbon fluxes at a high-elevation subalpine forest. Agricultural and Forest Meteorology, 195, 73--88.
• Ault, T. R., Henebry, G. M., De Beurs, K. M., Schwartz, M. D., Betancourt, J. L., & Moore, D. (2013). The false spring of 2012, earliest in North American record. EOS, Transactions American Geophysical Union, 94(20), 181--182.
• Moore, D. J., Trahan, N. A., Wilkes, P., Quaife, T., Stephens, B. B., Elder, K., Desai, A. R., Negron, J., & Monson, R. K. (2013). Persistent reduced ecosystem respiration after insect disturbance in high elevation forests. Ecology letters, 16(6), 731--737.
• Ren, X., He, H., Moore, D. J., Zhang, L. i., Liu, M., Li, F., Yu, G., & Wang, H. (2013). Uncertainty analysis of modeled carbon and water fluxes in a subtropical coniferous plantation. Journal of Geophysical Research: Biogeosciences, 118(4), 1674--1688.
• Scott-Denton, L. E., Moore, D. J., Rosenbloom, N. A., Kittel, T. G., Burns, S. P., Schimel, D. S., & Monson, R. K. (2013). Forecasting net ecosystem CO2 exchange in a subalpine forest using model data assimilation combined with simulated climate and weather generation. Journal of Geophysical Research: Biogeosciences, 118(2), 549--565.
• Shao, P. u., Zeng, X., Moore, D. J., & Zeng, X. (2013). Soil microbial respiration from observations and Earth System Models. Environmental Research Letters, 8(3), 034034.
• Hicke, J. A., Allen, C. D., Desai, A. R., Dietze, M. C., Hall, R. J., Hogg, E., Kashian, D. M., Moore, D., Raffa, K. F., Sturrock, R. N., & others, . (2012). Effects of biotic disturbances on forest carbon cycling in the United States and Canada. Global Change Biology, 18(1), 7--34.
• Hicke, J. A., Allen, C. D., Desai, A., Dietze, M. C., Hall, R. J., Hogg, E. T., & Vogelmann, J. (2012). The effects of biotic disturbances on carbon budgets of North American forests. Global Change Biology, 18, 7--34.
• Hicke, J., Allen, C., Desai, A., Dietze, M., Hogg, E., Kashian, D., Moore, D., Raffa, K., Sturrock, R., & Vogelmann, J. (2012). The Effects of Insect and Pathogen Outbreaks on the Carbon Cycle: A Review. Global Change Biology, 18, 7-34.
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  doi: 10.1111/j.1365-2486.2011.02543.x
• Desai, A. R., Moore, D. J., Ahue, W. K., Wilkes, P. T., De, W., Brooks, B. G., Campos, T. L., Stephens, B. B., Monson, R. K., Burns, S. P., & others, . (2011). G04009 Seasonal partem of regional carbon balance in the central Rocky Mountains from surface and airborne measurements (doi 10.1029/2011JG001655). Journal of Geophysical Research-Part G-BioGeo.
• Desai, A. R., Moore, D. J., Ahue, W. K., Wilkes, P. T., De, W., Brooks, B. G., Campos, T. L., Stephens, B. B., Monson, R. K., Burns, S. P., & others, . (2011). Seasonal pattern of regional carbon balance in the central Rocky Mountains from surface and airborne measurements. Journal of Geophysical Research, 116(G4), G04009.
• Desai, A., Moore, D., Ahue, W., Wilkes, P., deWekker, S., Campos, S., Brookes, B., Monson, R., Quaife, T., French, J., Aulenbach, S., & Schimel, D. (2011). Seasonal pattern of regional carbon balance from the Airborne Carbon in the Mountains Experiment 2007. Journal of Geophysical Research, 116.
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  G04009, doi:10.1029/2011JG001655
• Drake, J. E., Gallet-Budynek, A., Hofmockel, K. S., Bernhardt, E. S., Billings, S. A., Jackson, R. B., Johnsen, K. S., Lichter, J., McCarthy, H. R., McCormack, M. L., & others, . (2011). Increases in the flux of carbon belowground stimulate nitrogen uptake and sustain the long-term enhancement of forest productivity under elevated CO2. Ecology letters, 14(4), 349--357.
• Schimel, D., Keller, M., Berukoff, S., Kao, R., Loescher, H. W., Powell, H., Kampe, T., Moore, D., & Gram, W. (2011). NEON science strategy: enabling continental-scale ecological forecasting. National Ecological Observatory Network, Boulder, CO.
• Zobitz, J. M., Desai, A. R., Moore, D., & Chadwick, M. A. (2011). A primer for data assimilation with ecological models using Markov Chain Monte Carlo (MCMC). Oecologia, 167(3), 599.
• Gallery, R. E., Moore, D. J., & Dalling, J. W. (2010). Interspecific variation in susceptibility to fungal pathogens in seeds of 10 tree species in the neotropical genus Cecropia. Journal of Ecology, 98(1), 147--155.
• Hu, J., Moore, D. J., & Monson, R. K. (2010). Weather and climate controls over the seasonal carbon isotope dynamics of sugars from subalpine forest trees. Plant, Cell \& Environment, 33(1), 35--47.
• Hu, J., Moore, D. J., Burns, S. P., & Monson, R. K. (2010). Longer growing seasons lead to less carbon sequestration by a subalpine forest. Global Change Biology, 16(2), 771--783.
• Hu, J., Moore, D. J., Riveros-Iregui, D. A., Burns, S. P., & Monson, R. K. (2010). Modeling whole-tree carbon assimilation rate using observed transpiration rates and needle sugar carbon isotope ratios. New Phytologist, 185(4), 1000--1015.
• Richardson, A. D., Williams, M., Hollinger, D. Y., Moore, D. J., Dail, D. B., Davidson, E. A., Scott, N. A., Evans, R. S., Hughes, H., Lee, J. T., & others, . (2010). Estimating parameters of a forest ecosystem C model with measurements of stocks and fluxes as joint constraints. Oecologia, 164(1), 25--40.
• SUN, J., ONCLEY, S. P., BURNS, S. P., STEPHENS, B. B., LENSCHOW, D. H., CAMPOS, T., MONSON, R. K., SCHIMEL, D. S., SACKS, W. J., DE, W., & others, . (2010). A MULTISCALE AND MULTIDISCIPLINARY INVESTIGATION OF ECOSYSTEM--ATMOSPHERE CO.
• Sun, J., Oncley, S. P., Burns, S. P., Stephens, B. B., Lenschow, D. H., Campos, T., Watt, A. S., Monson, R. K., Moore, D. J., Hu, J., & others, . (2010). A multiscale and multidisciplinary investigation of ecosystem-atmosphere CO2 exchange over the Rocky Mountains of Colorado. Bulletin of the American Meteorological Society, 91(2), 209--230.
• Turnipseed, A. A., Burns, S. P., Moore, D. J., Hu, J., Guenther, A. B., & Monson, R. K. (2009). Controls over ozone deposition to a high elevation subalpine forest. Agricultural and Forest Meteorology, 149(9), 1447--1459.
• Moore, D. J., Gonzalez-Meler, M. A., Taneva, L., Pippen, J. S., Kim, H., & DeLucia, E. H. (2008). The effect of carbon dioxide enrichment on apparent stem respiration from Pinus taeda L. is confounded by high levels of soil carbon dioxide. Oecologia, 158(1), 1--10.
• Moore, D. J., Hu, J., Sacks, W. J., Schimel, D. S., & Monson, R. K. (2008). Estimating transpiration and the sensitivity of carbon uptake to water availability in a subalpine forest using a simple ecosystem process model informed by measured net CO 2 and H 2 O fluxes. Agricultural and Forest Meteorology, 148(10), 1467--1477.
• Zobitz, J. M., Moore, D. J., Sacks, W. J., Monson, R. K., Bowling, D. R., & Schimel, D. S. (2008). Integration of process-based soil respiration models with whole-ecosystem CO 2 measurements. Ecosystems, 11(2), 250--269.
• Monson, R. K., Trahan, N., Rosenstiel, T. N., Veres, P., Moore, D., Wilkinson, M., Norby, R. J., Volder, A., Tjoelker, M. G., Briske, D. D., & others, . (2007). Isoprene emission from terrestrial ecosystems in response to global change: minding the gap between models and observations. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 365(1856), 1677--1695.
• Moore, D. J., Hu, J., Monson, R. K., & Schimel, D. S. (2007). COS 72-4: Data assimilation of eddy flux measurements coupled with an ecosystem process model to generate optimized predictions of carbon and water exchange in a high elevation coniferous forest.
• Finzi, A. C., Moore, D. J., DeLucia, E. H., Lichter, J., Hofmockel, K. S., Jackson, R. B., Kim, H., Matamala, R., McCarthy, H. R., Oren, R., & others, . (2006). Special Feature--Progressive Nitrogen Limitation-Progressive nitrogen limitation of ecosystem processes under elevated CO2 in a warm-temperate forest. Ecology-Ecological Society of America, 87(1), 15--25.
• Moore, D. J., Aref, S., HO, R. M., Pippen, J. S., Hamilton, J. G., & DE, L. (2006). Annual basal area increment and growth duration of Pinus taeda in response to eight years of free-air carbon dioxide enrichment. Global Change Biology, 12(8), 1367--1377.
• Schlesinger, W. H., Bernhardt, E. S., DeLucia, E. H., Ellsworth, D. S., Finzi, A. C., Hendrey, G. R., Hofmockel, K. S., Lichter, J., Matamala, R., Moore, D., & others, . (2006). The Duke Forest FACE experiment: CO 2 enrichment of a loblolly pine forest. Managed Ecosystems and CO 2, 197--212.
• DeLucia, E. H., Moore, D. J., & Norby, R. J. (2005). Contrasting responses of forest ecosystems to rising atmospheric CO2: implications for the global C cycle. Global Biogeochemical Cycles, 19(3).
• DeLucia, E. H., Moore, D. J., & Norby, R. J. (2005). Contrasting responses of forest ecosystems to rising atmospheric CO₂: Implications for the global C cycle. Global Biogeochemical Cycles, 19(3), 1-9.
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  Abstract: In two parallel but independent experiments, Free Air CO2 Enrichment (FACE) technology was used to expose plots within contrasting evergreen loblolly pine (Pinus taeda L.) and deciduous sweetgum (Liquidambar styraciflua L.) forests to the level Of CO2 anticipated in 2050. Net primary production (NPP) and net ecosystem production (NEP) increased in both forests. In the year 2000, after exposing pine and sweetgum to elevated CO2 for approximately 5 and 3 years, a complete budget calculation revealed increases in net ecosystem production (NEP) of 41% and 44% in the pine forest and sweetgum forest, respectively, representing the storage of an additional 174 gC m-2 and 128 gC m-2 in these forests. The stimulation of NPP without corresponding increases in leaf area index or light absorption in either forest resulted in 23-27% stimulation in radiation-use efficiency, defined as NPP per unit absorbed photosynthetically active radiation. Greater plant respiration contributed to lower NPP in the loblolly pine forest than in the sweetgum forest, and these forests responded differently to CO2 enrichment. Where the pine forest added C primarily to long-lived woody tissues, exposure to elevated CO2 caused a large increase in the production of labile fine roots in the sweetgum forest. Greater allocation to more labile tissues may cause more rapid cycling of C back to the atmosphere in the sweetgum forest compared to the pine forest. Imbalances in the N cycle may reduce the response of these forests to experimental exposure to elevated CO2 in the future, but even at the current stimulation observed for these forests, the effect of changes in land use on C sequestration are likely to be larger than the effect of CO2-induced growth stimulation. Copyright 2005 by the American Geophysical Union.
• DeLucia, E. H., Moore, D. J., Hamilton, J. G., Thomas, R. B., Springer, C. J., & Norby, R. J. (2005). The changing role of forests in the global carbon cycle: responding to elevated carbon dioxide in the atmosphere. Climate Change and Global Food Security, 179--214.
• Norby, R. J., DeLucia, E. H., Gielen, B., Calfapietra, C., Giardina, C. P., King, J. S., Ledford, J., McCarthy, H. R., Moore, D. J., Ceulemans, R., & others, . (2005). Forest response to elevated CO2 is conserved across a broad range of productivity. Proceedings of the National Academy of Sciences, 102(50), 18052--18056.
• Aref, S., Moore, D. J., & DeLucia, E. H. (2004). THE ONSET, CESSATION, AND RATE OF GROWTH OF LOBLOLLY PINES IN THE FACE EXPERIMENT.
• Ainsworth, E. A., Davey, P. A., Bernacchi, C. J., Dermody, O. C., Heaton, E. A., Moore, D. J., Morgan, P. B., Naidu, S. L., Yoo, R. H., Zhu, X., & others, . (2002). A meta-analysis of elevated [CO2] effects on soybean (glycine max) physiology, growth and yield. Global Change Biology, 8(8), 695--709.

Proceedings Publications

• Barnes, M. L., Moore, D. J., Scott, R., MacBean, N., Ponce-Campos, G. E., & Breshears, D. D. (2017, DEC). GC21F-0996: Upscaling Ameriflux observations to assess drought impacts on gross primary productivity across the Southwest. In AGU Fall Meeting Proceedings.
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  Both satellite observations and eddy covariance estimates provide crucial information about the Earth's carbon, water and energy cycles. Continuous measurements from flux towers facilitate exploration of the exchange of carbon dioxide, water and energy between the land surface and the atmosphere at fine temporal and spatial scales, while satellite observations can fill in the large spatial gaps of in-situ measurements and provide long-term temporal continuity. The Southwest (Southwest United States and Northwest Mexico) and other semi-arid regions represent a key uncertainty in interannual variability in carbon uptake. Comparisons of existing global upscaled gross primary production (GPP) products with flux tower data at sites across the Southwest show widespread mischaracterization of seasonality in vegetation carbon uptake, resulting in large (up to 200%) errors in annual carbon uptake estimates. Here, remotely sensed and distributed meteorological inputs are used to upscale GPP estimates from 25 Ameriflux towers across the Southwest to the regional scale using a machine learning approach. Our random forest model incorporates two novel features that improve the spatial and temporal variability in GPP. First, we incorporate a multi-scalar drought index at multiple timescales to account for differential seasonality between ecosystem types. Second, our machine learning algorithm was trained on twenty five ecologically diverse sites to optimize both the monthly variability in and the seasonal cycle of GPP. The product and its components will be used to examine drought impacts on terrestrial carbon cycling across the Southwest including the effects of drought seasonality and on carbon uptake. Our spatially and temporally continuous upscaled GPP product drawing from both ground and satellite data over the Southwest region helps us understand linkages between the carbon and water cycles in semi-arid ecosystems and informs predictions of vegetation response to future climate conditions.
• Chatterjee, A., Cooley, S., Huntzinger, D. N., Mayes, M., & Moore, D. J. (2019). The Changing North American Carbon Cycle: Projections, Consequences and Research Priorities. In 99th American Meteorological Society Annual Meeting.
• Fox, A. M., Hoar, T. J., & Moore, D. J. (2019). Predicting productivity: Ecological forecasting in the Earth System. In 2019 ESA Annual Meeting (August 11--16).
• Fox, A. M., Hoar, T. J., Anderson, J. L., Smith, W. K., & Moore, D. J. (2019). Reducing Uncertainty in Global Carbon Fluxes from the Community Land Model through Data Assimilation. In Chapman Conference on Understanding Carbon Climate Feedbacks.
• 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). In AGU Fall Meeting Proceedings.
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  The 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.
• Hudson, A. R., Alfaro-Sanchez, R., Belmecheri, S., Moore, D. J., & Trouet, V. M. (2017, DEC). PP51C-1077: Summer Temperature Extremes in the Northern Rockies: A Tree-Ring-Based Reconstruction (1670-2014) from the Bighorn Mountains, WY. In AGU Fall Meeting, Proceedings.
• 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.. In AGU Fall Meeting Proceedings.
• Smith, W. K., Fox, A. M., Moore, D. J., MacBean, N., & Parazoo, N. (2019). Constraining the terrestrial CO 2 fertilization effect using satellite observations: Opportunities and challenges. In Chapman Conference on Understanding Carbon Climate Feedbacks.
• Smith, W., Yan, D., Yang, J., Smith, X., Scott, R. L., Biederman, J. A., Dannenberg, M. P., Barron-Gafford, G., Moore, D. J., & Knowles, J. F. (2019). Monitoring diurnal to seasonal vegetation photosynthesis across key dryland ecosystem types using near-surface remote sensing techniques. In 2019 ESA Annual Meeting (August 11--16).
• 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. In AGU Fall Meeting Proceedings.
• Zou, C., Williams, A. P., Villegas, J. C., Swann, A., Stark, S., Saleska, S. R., Ruthroff, K., Ng, M., Moore, D. J., Minor, D., Matusick, G., Martinez-Yrizar, A., Huxman, T., Kala, J., Hardy, G., Garcia, E., Fontaine, J., Froend, R., Field, J., , Cobb, N., et al. (2017, Dec). Predicting Tree Mortality Die-off Events Associated with Hotter Drought and Assessing Their Global Consequences via Ecoclimate Teleconnections. (Invited). In AGU Fall Meeting Proceedings.
• Barnes, M., Novick, K. A., Breshears, D. D., Moore, D. J., Scott, R. L., Biederman, J. A., Ponce-Campos, G. E., & MacBean, N. (2018). Lessons from the semi-arid West: drought controls carbon uptake dynamics in mesic Eastern US forests. In AGU Fall Meeting Abstracts.
• Fox, A. M., Hoar, T. J., Anderson, J. L., Smith, W. K., Schimel, D., & Moore, D. J. (2018). Reducing Uncertainty in Global Carbon Fluxes from the Community Land Model Through Assimilating Remotely-Sensed Land Surface Properties. In AGU Fall Meeting Abstracts.
• Heilman, K., McLachlan, J. S., & Moore, D. J. (2018). Biogeochemical and Functional Consequences of Vegetation Changes in the Anthropocene II. In AGU Fall Meeting 2018.
• Hudson, A., Moore, D. J., & Trouet, V. (2018). When and where are plants responding to synoptic circulations?. In AGU Fall Meeting Abstracts.
• MacBean, N., Hoar, T. J., Anderson, J. L., Smith, W. K., Schimel, D., & Moore, D. J. (2018). Reducing Uncertainty in Global Carbon Fluxes from the Community Land Model Through Assimilating Remotely-Sensed Land Surface Properties. In AGU Fall Meeting 2018.
• MacBean, N., Scott, R. L., Biederman, J. A., Kolb, T., Dore, S., Vuichard, N., Ducharne, A., Peylin, P. P., & Moore, D. J. (2018). What impact do plant and soil hydrologic schemes of varying complexity have on simulated water and carbon fluxes across semi-arid sites in the southwestern US?. In AGU Fall Meeting Abstracts.
• Moore, D. J. (2018). The effects of rising CO 2 on terrestrial ecosystems: The state of the carbon cycle. In 2018 ESA Annual Meeting (August 5--10).
• Moore, D. J., Cooley SR, ., Alin SR, ., Butman, D. E., Clow, D. W., French, N., Feely, R. A., Johnson, Z., Keppel-Aleks, G., Lohrenz, S. E., & others, . (2018). Biogeochemical Effects of Rising Atmospheric CO2 on Terrestrial and Ocean Systems. In AGU Fall Meeting Abstracts.
• Roby, M. C., Scott, R. L., & Moore, D. J. (2018). Biophysical and Vegetative Controls on Soil Carbon Dioxide Efflux in the Semiarid Southwest US. In 33rd Conference on Agricultural and Forest Meteorology/12th Fire and Forest Meteorology Symposium/Fourth Conference on Biogeosciences.
• Smith, W. K., Biederman, J., Scott, R. L., Moore, D. J., Kimball, J. S., Yan, D., He, M., Barnes, M. L., Hudson, A. R., MacBean, N., & others, . (2018). Monitoring dryland vegetation dynamics from space. In 2018 ESA Annual Meeting (August 5--10).
• Smith, W. K., Moore, D. J., Fox, A. M., MacBean, N., Anderegg, W. R., Yu, K., & Ballantyne, A. P. (2018). Satellite-based constraints on terrestrial CO 2 fertilization: Challenges and opportunities. In 2018 ESA Annual Meeting (August 5--10).
• Swann, A. L., Lague, M. M., Garcia, E., Field, J. P., Breshears, D. D., Moore, D. J., Saleska, S. R., Stark, S. C., Villegas, J. C., Law, D., & others, . (2018). Continental-scale consequences of tree die-offs in North America. In AGU Fall Meeting Abstracts.
• Wang, X., Yan, D., Dannenberg, M. P., Jones, M., Kimball, J., Moore, D. J., Van, L., Didan, K., & Smith, W. K. (2018). Comparisons of Global Land Surface Phenology Derived from Vegetation Greenness, Optical Depth, and Solar-induced Chlorophyll Fluorescence. In AGU Fall Meeting Abstracts.
• Yan, D., Scott, R. L., Biederman, J. A., Barron-Gafford, G., Yang, X. i., Moore, D. J., Dannenberg, M. P., Wang, X., Knowles, J. F., Yang, J., & others, . (2018). Quantifying plant physiological response to water stress with high-frequency, near-surface observations of chlorophyll fluorescence and photochemical reflectivity. In AGU Fall Meeting Abstracts.
• Barnes, M., Moore, D. J., Scott, R. L., MacBean, N., Ponce-Campos, G. E., & Breshears, D. D. (2017). Upscaling Ameriflux observations to assess drought impacts on gross primary productivity across the Southwest. In AGU Fall Meeting Abstracts.
• Dietze, M., Raiho, A., Fer, I., Dawson, A., Heilman, K., Hooten, M., McLachlan, J. S., Moore, D. J., Paciorek, C. J., Pederson, N., & others, . (2017). Inferring biogeochemistry past: a millennial-scale multimodel assimilation of multiple paleoecological proxies.. In AGU Fall Meeting Abstracts.
• Dietze, M., Raiho, A., Fer, I., Dawson, A., Heilman, K., Hooten, M., McLachlan, J., Moore, D. J., Paciorek, C., Pederson, N., Rollinson, C., & Tipton, J. (2017, Dec). Inferring biogeochemistry past: a millennial-scale multimodel assimilation of multiple paleoecological proxies.. In AGU, Fall Meeting Proceedings.
• Fox, A. M., Hoar, T. J., Smith, W. K., & Moore, D. J. (2017). Initializing carbon cycle predictions from the Community Land Model by assimilating global biomass observations. In AGU Fall Meeting Abstracts.
• Hudson, A., Alfaro-Sanchez, R., Belmecheri, S., Moore, D. J., & Trouet, V. (2017). Summer Temperature Extremes in the Northern Rockies: A Tree-Ring-Based Reconstruction (1670-2014) from the Bighorn Mountains, WY. In AGU Fall Meeting Abstracts.
• MacBean, N., Scott, R. L., Biederman, J. A., Vuichard, N., Hudson, A., Barnes, M., Fox, A. M., Smith, W. K., Peylin, P. P., Maignan, F., & others, . (2017). CMIP5 land surface models systematically underestimate inter-annual variability of net ecosystem exchange in semi-arid southwestern North America.. In AGU Fall Meeting Abstracts.
• Smith, W. K., Biederman, J. A., Scott, R. L., Moore, D. J., Kimball, J. S., He, M., Yan, D., Hudson, A., Barnes, M., MacBean, N., & others, . (2017). 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 Abstracts.
• Smith, W. K., Moore, D. J., Beiderman, J. A., Scott, R. L., Kimball, J. S., He, M., Yan, D., Hudson, A. R., Barnes, M. L., McBean, N., Fox, A. M., & Litvak, M. E. (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.
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  Satellite 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.
• Yan, D., Scott, R. L., Moore, D. J., Biederman, J. A., & Smith, W. K. (2017). Understanding the relationship between vegetation phenology and productivity across key dryland ecosystem types through the integration of PhenoCam, satellite, and eddy covariance data. In AGU Fall Meeting Abstracts.
• Alexander, M. R., Rollinson, C., Dye, A., Pederson, N., Moore, D. J., & Trouet, V. (2016). Stand structure and composition provide differential tree-ring growth signals in eastern US forests. In AGU Fall Meeting Abstracts.
• Fojtik, A. C., Barnes, M., Breshears, D. D., Law, D., & Moore, D. J. (2016). Water stress reduces evaporative cooling in hybrid poplars during hot drought: genotype influences degree of coupling between thermal stress and atmosphere. In AGU Fall Meeting Abstracts.
• Fox, A. M., Hoar, T., Litvak, M. E., & Moore, D. J. (2016). Combining Ecosystem Observations, Manipulations and the Data Assimilation Research Testbed to Provide New Insights into Community Land Model Performance. In AGU Fall Meeting Abstracts.
• Hudson, A., Trouet, V., Belmecheri, S., & Moore, D. J. (2016). Validating the Spring Jet Stream Indices Using Extended Spring Index (SI-x) Models. In AGU Fall Meeting Abstracts.
• Huntzinger, D. N., Chatterjee, A., Cooley SR, ., Dunne, J. P., Hoffman, F. M., Luo, Y., Moore, D. J., Ohrel, S. B., Poulter, B., Ricciuto, D. M., & others, . (2016). The future of the North American carbon cycle-projections and associated climate change. In AGU Fall Meeting Abstracts.
• Montan\'e, F., Fox, A. M., Arellano, A. F., Alexander, M. R., & Moore, D. J. (2016). A Model-Data Intercomparison of Carbon Fluxes, Pools, and LAI in the Community Land Model (CLM) and Alternative Carbon Allocation Schemes. In AGU Fall Meeting Abstracts.
• Moore, D. J., & Trouet, V. (2016). Constraining Ecosystem Carbon Uptake and Long-Term Storage using Models and Data II. In 2016 AGU Fall Meeting.
• Rollinson, C., Matthes, J., Dietze, M., Moore, D. J., McLachlan, J. S., & Raiho, A. (2016). Impacts of paleo-climatic variability on ecosystem stability and model performance in the modern era. In AGU Fall Meeting Abstracts.
• Saleska SR, ., Garcia, E., Stark, S. C., Villegas, J. C., Breshears, D. D., Swann, A., Moore, D. J., Law, D., Minor, D., & Field, J. P. (2016). Accounting for" Ecoclimate Teleconnections" that structure ecological responses to disturbance and climate, from local to global scales. In AGU Fall Meeting Abstracts.
• Trouet, V. M., Moore, D. J., Belmecheri, S., Alfaro-Sanchez, R., & Hudson, A. R. (2017, DEC). PP51C-1077: Summer Temperature Extremes in the Northern Rockies: A Tree-Ring-Based Reconstruction (1670-2014) from the Bighorn Mountains, WY. In AGU Fall Meeting, Proceedings.
• Dawson, A., Paciorek, C. J., Moore, D. J., Pedersen, N., Barker Plotkin, A., Hessl, A. E., Dye, A., Bishop, D. A., Alexander, M. R., & McLachlan, J. S. (2015). Reconstructing Above Ground Forest Biomass Increment and Uncertainty Using Tree-ring Data. In AGU Fall Meeting Abstracts.
• Dawson, T. E. (2015). The roles of trees In the Critical Zone. In AGU Fall Meeting Abstracts.
• Liu, Y., Rollinson, C., Dietze, M., McLachlan, J. S., Poulter, B., Quaife, T. L., Raiho, A., Ricciuto, D. M., Schaefer, K. M., Steinkamp, J., & others, . (2015). Ecosystem composition changes over the past millennium: model simulations and comparison with paleoecological observations. In AGU Fall Meeting Abstracts.
• Lybrand, R. A., Gallery, R. E., Trahan, N. A., Dynes, E., & Moore, D. J. (2015). Disturbance-driven Changes in Soil Exoenzyme Activity and Biogeochemistry of Colorado Forests. In AGU Fall Meeting Abstracts.
• Montane, F., Fox, A. M., Arellano, A. F., Scaven, V. L., Alexander, M. R., & Moore, D. J. (2015). Comparing Different Model Structures for Carbon Allocation in the Community Land Model (CLM). In AGU Fall Meeting Abstracts.
• Moore, D. (2015). Constraining Ecosystem Carbon Uptake and Long-Term Storage with Integrated Modeling, Experiment, and Observation I Posters. In 2015 AGU Fall Meeting.
• Moore, D. J., McLachlan, J. S., Rocha, A. V., Peters, J., Dawson, A., Raiho, A., Blakely, B., Heilman, K., Paciorek, C. J., Read, Q., & others, . (2015). The loss of late successional species has a disproportionate impact on terrestrial carbon storage in North America. In AGU Fall Meeting Abstracts.
• Moore, D. J., Trouet, V., Viskari, T., Walker, A. P., & Zaehle, S. (2015). Constraining Ecosystem Carbon Uptake and Long-Term Storage with Integrated Modeling, Experiment, and Observation IV. In 2015 AGU Fall Meeting.
• Rollinson, C., Liu, Y., Dietze, M., Moore, D. J., Raiho, A., McLachlan, J. S., Pederson, N., Poulter, B., Schaefer, K. M., Steinkamp, J., & others, . (2015). Millennial-scale drivers of carbon storage and flux in terrestrial ecosystem models. In AGU Fall Meeting Abstracts.
• Gerst, K., Enquist, C., Rosemartin, A., Denny, E. G., Marsh, L., Moore, D. J., & Weltzin, J. F. (2014). Phenology Data Products to Support Assessment and Forecasting of Phenology on Multiple Spatiotemporal Scales. In AGU Fall Meeting Abstracts.
• Ibsen, P., Van, L. W., McCorkel, J., Barron-Gafford, G., & Moore, D. J. (2014). Physiology and Thermal Imaging of Poplar Hybrids with Varying Temperature Tolerance. In AGU Fall Meeting Abstracts.
• Liu, Y., Matthes, J. H., Moore, D. J., Dietze, M., Arellano, A. F., Dawson, A., Fox, A. M., Goring, S. J., McLachlan, J. S., Montane, F., & others, . (2014). Assessing the long-term performance of terrestrial ecosystem models in northeastern United States: linking model structure and output. In AGU Fall Meeting Abstracts.
• Matthes, J. H., Dietze, M., Fox, A. M., Goring, S. J., McLachlan, J. S., Moore, D. J., Poulter, B., Quaife, T. L., Schaefer, K. M., Steinkamp, J., & others, . (2014). Constraining Centennial-Scale Ecosystem-Climate Interactions with a Pre-colonial Forest Reconstruction across the Upper Midwest and Northeastern United States. In AGU Fall Meeting Abstracts.
• Maurer, G. E., Chan, A. M., Trahan, N. A., Moore, D. J., & Bowling, D. R. (2014). Soil carbon cycle 13C responses in the decade following bark beetle and girdling disturbance. In AGU Fall Meeting Abstracts.
• McLachlan, J. S., Moore, D. J., Zhu, J., Feng, X., Paciorek, C. J., Williams, J. W., Goring, S. J., & Hartfield, K. A. (2014). Statistical Estimates of the Long-Term Impact of Land-Use Disturbance on Woody Biomass in the Midwest (USA). In AGU Fall Meeting Abstracts.
• Montane, F., Fox, A. M., Hoar, T. J., Arellano, A. F., Liu, Y., Moreno, G., Quaife, T. L., Richardson, A. D., Trouet, V., Alexander, M. R., & others, . (2014). Assimilating Multiple Data Types in the Community Land Model (CLM) for Deciduous Forests in North America. In AGU Fall Meeting Abstracts.
• Moore, D. (2014). Constraining Ecosystem Carbon Uptake and Long-Term Storage Using Models and Data II. In 2014 AGU Fall Meeting.
• Moore, D. J. (2014). Training young scientists across empirical and modeling approaches. In AGU Fall Meeting Abstracts.
• Alexander, M. R., Babst, F., Moore, D. J., & Trouet, V. (2013). Constraining the Carbon Cycle through Tree Rings: A Case Study of the Valles Caldera, NM. In AGU Fall Meeting Abstracts.
• Moore, D. J., Trahan, N. A., Dynes, E. L., Zobitz, J. M., & Gallery, R. (2013). Modeling carbon cycle responses to tree mortality: linking microbial and biogeochemical changes. In AGU Fall Meeting Abstracts.
• Trahan, N. A., Moore, D., Wilkes, P., Quaife, T., Desai, A. R., Negron, J., Stephens, B. B., Elder, K., Brayden, B. H., & Monson, R. K. (2012). Changes in carbon balance after insect disturbance in Western US forests. In EGU General Assembly Conference Abstracts, 14.
• Betancourt, J. L., Schwartz, M. D., Ault, T. R., McCabe, G. J., Macalady, A. K., Pederson, G. T., Cook, B. P., Henebry, G. M., Moore, D. J., & Enquist, C. (2011). Spring Indices (SI): National (and Global) Indicators of Climate Impacts on Ecosystems and Society. In AGU Fall Meeting Abstracts.
• Darby, B., Keenan, T. F., Felts, E. S., Hufkens, K., Friedl, M. A., Moore, D. J., Sonnentag, O., & Richardson, A. D. (2011). Do physiological changes at leaf level explain seasonal changes in remotely sensed canopy greenness?. In AGU Fall Meeting Abstracts.
• Fox, A. M., Hoar, T. J., Sacks, W. J., Moore, D. J., Berukoff, S., & Schimel, D. S. (2011). a Model-Data Fusion Approach to Integrate National Ecological Observatory Network Observations Into AN Earth System Model. In AGU Fall Meeting Abstracts.
• McCorkel, J., Kuester, M. A., Johnson, B. R., Krause, K., Kampe, T. U., & Moore, D. J. (2011). Detecting trends in regional ecosystem functioning: the importance of field data for calibrating and validating NEON airborne remote sensing instruments and science data products. In AGU Fall Meeting Abstracts.
• Monson, R. K., Moore, D. J., Trahan, N. A., Scott-Denton, L., Burns, S. P., Hu, J., & Bowling, D. R. (2011). Process coupling and control over the response of net ecosystem CO2 exchange to climate variability and insect disturbance in subalpine forests of the Western US. In AGU Fall Meeting Abstracts.
• Moore, D. J., Dietze, M. C., Ricciuto, D. M., Richardson, A. D., & Braswell, R. (2011). Using historical data to constrain long term carbon dynamics in land surface models: processes and data. In AGU Fall Meeting Abstracts.
• Moore, D. J., Trahan, N. A., Wilkes, P., Quaife, T. L., Desai, A. R., Negron, J., Stephens, B. B., Elder, K., & Monson, R. K. (2011). Changes in carbon balance after insect disturbance in Western US forests. In AGU Fall Meeting Abstracts.
• Schimel, D., Fox, A. M., Moore, D. J., Sacks, W. J., & Berukoff, S. J. (2011). Observatory enabled modeling of the Global Carbon Cycle. In AGU Fall Meeting Abstracts.
• Trahan, N. A., Moore, D. J., Brayden, B. H., Dynes, E., & Monson, R. K. (2011). Mountain pine beetle disturbance effects on soil respiration and nutrient pools. In AGU Fall Meeting Abstracts.
• Desai, A. R., Ahue, W., Brooks, B., Moore, D. J., Quaife, T., Monson, R. K., De Wekker, S., Campos, T. L., Stephens, B. B., Wilkes, P., & others, . (2010). Climatic Controls on Carbon Exchange in the US Mountain West at Multiple Scales. In AGU Fall Meeting Abstracts.
• Hicke, J. A., Allen, C. D., Desai, A. R., Dietze, M. C., Hall, R. J., Hogg, E. T., Kashian, D. M., Moore, D. J., Raffa, K., Sturrock, R., & others, . (2010). A Review of Carbon Cycle Impacts of Biotic Disturbances in North American Forests. In AGU Fall Meeting Abstracts.
• Keller, M. M., Moore, D., & Sacks, W. J. (2010). Development of a Data Assimilation System to Study Ecosystem Exchange of Carbon at the National Scale Using Data from the National Ecological Observatory Network. In AGU Fall Meeting Abstracts.
• Monson, R. K., Moore, D. J., Scott-Denton, L., & Burns, S. P. (2010). Phenological control over ecosystem-atmosphere carbon exchange. In AGU Fall Meeting Abstracts.
• Moore, D. J., Wilkes, P., Quaife, T. L., Trahan, N. A., Monson, R. K., & Stephens, B. B. (2010). Changes in carbon uptake and release cause by insect outbreaks in the Colorado Rocky Mountains from 2000 through 2010. In AGU Fall Meeting Abstracts.
• Trahan, N. A., Moore, D. J., Bowling, D. R., & Monson, R. K. (2010). Mountain Pine beetle disturbance and climate effects on subalpine forest carbon cycling. In AGU Fall Meeting Abstracts.
• Ahue, W. K., Desai, A. R., Wekker, S., Moore, D. J., Campos, T. L., Stephens, B. B., Monson, R. K., & Schimel, D. (2009). Uncertainty of regional carbon fluxes and boundary layer heights in complex terrain: The airborne carbon in the mountains experiment 2007. In AGU Fall Meeting Abstracts.
• Dynes, E., Welker, J. M., Moore, D. J., Sullivan, P., Ebbs, L., & Pattison, R. (2009). Photosynthesis, plant growth and nitrogen nutrition in Alaskan tussock tundra: Response to experimental warming. In AGU Fall Meeting Abstracts.
• Moore, D. J. (2009). COS 119-9: Carbon cycling at in a temperate evergreen forest: a multi-model data-model fusion analysis at Howland, ME. In The 94th ESA Annual Meeting.
• Moore, D. J., Richardson, A. D., Ricciuto, D. M., & Hollinger, D. (2009). Carbon cycling at a temperate evergreen forest: a comparison of three ecosystem-model data assimilation systems at Howland, ME. In AGU Fall Meeting Abstracts.
• Richardson, A. D., Williams, M., Moore, D. J., Hollinger, D. Y., Davidson, E. A., Dail, B., & Scott, N. A. (2009). Estimating Parameters of a Forest Ecosystem C Model Using Multiple Stock and Flux Measurements as Joint Constraints. In AGU Fall Meeting Abstracts.
• Desai, A. R., Stephens, B. B., Schimel, D. S., Moore, D. J., Wekker, S., Campos, T., Monson, R. K., Ahue, W. K., Behnke, R. J., Aulenbach, S. M., & others, . (2008). Constraining regional carbon fluxes in complex terrain: The Airborne Carbon in the Mountains Experiment 2007. In AGU Fall Meeting Abstracts.
• Monson, R. K., Moore, D. J., Scott-Denton, L., Rosenbloom, N., & Kittel, T. (2008). Control over ecosystem CO2 exchange by winter snow versus summer rain in a subalpine coniferous forest. In AGU Fall Meeting Abstracts.
• DeLucia, E. H., Moore, D. J., Hamilton, J. G., Finzi, A., Pippen, J., Schlesinger, W. H., & Norby, R. J. (2005, Dec). The changing role of forests in the global carbon cycle: Responses to Elevated Atmospheric CO2. In American Geophysical Union Fall Meeting, San Francisco, December.
• Moore, D. J., Aref, S., Ho, R. M., Pippen, J. S., Hamilton, J., & Lucia, E. H. (2005). Inter-annual variation in the response of Pinus taeda tree growth to long term Free Air Carbon dioxide Enrichment (FACE). In AGU Fall Meeting Abstracts.
• Lucia, E. H., Moore, D. J., Hamilton, J., Finzi, A., Pippen, J., & Schlesinger, W. H. (2003). Interannual Variation in the Response of Forest Productivity to Elevated Carbon Dioxide. In AGU Fall Meeting Abstracts.

Presentations

• Moore, D. J., Hoar, T., Smith, W. K., & Fox, A. M. (2017, Dec). B43I-03: Initializing carbon cycle predictions from the Community Land Model by assimilating global biomass observations (Invited). AGU Fall Meeting Proceedings.
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  The 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.
• Moore, D. J., Maignan, F., Peylin, P. P., Smith, W. K., Barnes, M., Hudson, A., Vulchard, N., Beiderman, J. A., Scott, R. L., & MacBean, N. (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., Beiderman, J. A., Moore, D. J., Scott, R. L., & Yan, D. (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.
• Barnes, M. L., Moore, D. J., Breshears, D. D., Law, D. J., & Fojtik, A. C. (2017, August). Beyond greenness: Potential for detecting temporal changes in photosynthetic capacity with hyperspectral imaging. 102nd Annual Meeting of the Ecological Society of America. Portland, OR: ESA.
• Moore, D. J., Fox, A. M., Montane, F., Hudson, A. R., Barnes, M. L., Arellano, A. F., & Smith, W. K. (2017, Aug). Combining models and data to understand vegetation function across timescales. 102nd Annual Meeting of the Ecological Society of America. Portland, OR: ESA.
• Fox, A., Litvak, M., Hoar, T., & Moore, D. J. (2016, fall). Combining Ecosystem Observations, Manipulations and the Data Assimilation Research Testbed to Provide New Insights into Community Land Model Performance. American Geophysical Union. San Francisco: AGU.
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  Andrew M Fox, Timothy Hoar, Marcy E Litvak, David J Moore Combining Ecosystem Observations, Manipulations and the Data Assimilation Research Testbed to Provide New Insights into Community Land Model Performance B12C-05
• Moore, D. J., & Cooley, S. (2016, Fall). State of the Carbon Cycle - Consequences of Rising Atmospheric CO2. American Geophysical Union. San Francisco: AGU.
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  David J Moore, Sarah R Cooley, Simone R Alin, Molly Elizabeth Brown, David E Butman, Nancy H F French, Zackary I Johnson, Gretchen Keppel-Aleks, Steven E Lohrenz , Ilissa Ocko, Elizabeth H Shadwick, Adrienne J Sutton, Christopher S Potter, Rita M.S. Yu GC23K-16: State of the Carbon Cycle - Consequences of Rising Atmospheric CO2
• Rasmussen, C. (2016, Winter). B22B-05 Beyond clay - using selective extractions to improve predictions of soil carbon content. 2016 American Geophysical Union Annual Meeting. San Francisco CA.
• Moore, D. J. (2015, April). Effects of insect outbreak on carbon and nutrient cycling in high elevation forests. 66th Western Insect Conference. Santa Fe, NM.
• Moore, D. J. (2015, Aug). Combined influence of soil moisture and vapor pressure deficit on productivity of US forests. 100th Meeting of the Ecological Society of America. Baltimore, MD.
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  Barnes, ML, Moore DJP, Breshears, DD, Moran, MS. Combined influence of soil moisture and vapor pressure deficit on productivity of US forests. 100th Meeting of the Ecological Society of America, August.
• Moore, D. J. (2015, Aug). Microbial ecology in the high elevation, mixed conifer critical zone. 100th Meeting of the Ecological Society of America. Baltimore MD.
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  Gallery RE, Murphy, M, Rasmussen, C, Rich, V, Trahan NA, Moore DJP Microbial ecology in the high elevation, mixed conifer critical zone 100th Meeting of the Ecological Society of America, August.
• Moore, D. J. (2015, Aug). The annual summer course in flux measurement and advanced modeling.. Macrosystems PI meeting. Washington DC: NSF.
• Moore, D. J. (2015, Dec). Changes in soil ecological function after fire and insect disturbance.. 100th Meeting of the Ecological Society of America, August.. San Francisco, CA: AGU.
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  Moore DJP, Trahan NA, Dynes EL, Lybrand, R., Gallery R Changes in soil ecological function after fire and insect disturbance. 100th Meeting of the Ecological Society of America, August.
• Moore, D. J. (2015, Dec). Loss of late successional species has a disproportionate impact on terrestrial carbon storage in North America. American Geophysical Union Fall Meeting. San Francisco, CA: AGU.
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  Moore DJP, McLachlan, J, Rocha, A, Peters, J, Raiho, A, Blakely B, Heilman, K, Dawson, A , Paciorek, C, Read, Q, Feng, X, Goring, S, Cogbill, C. Loss of late successional species has a disproportionate impact on terrestrial carbon storage in North America. American Geophysical Union Fall Meeting, San Francisco, CA, 2015 Fall Meeting
• Moore, D. J. (2015, May). Terrestrial Biospheric Models: Getting at that hard to reach data. Earthcube All Hands Meeting. Washington, DC: Earthcube.
• Trouet, V. M., Babst, F., Alexander, M. R., Black, B., Szejner, P., bouriaud, O., Klesse, S., Roden, J., Ciais, P., Poulter, B., Frank, D., & Moore, D. J. (2015, August). A tree-ring perspective on terrestrial climate dynamics. ESA annual meeting. Baltimore, MD: ESA.
• Moore, D. J. (2014, September). Forest carbon balance in response to disturbance and change; discovering processes with data.. Program in Ecology and Evolutionary Biology. University of Illinois.
• Moore, D. J. (2012, Feb). Studying the carbon cycle using observations and models. Atmospheric Science Seminar Series (UA).
• Moore, D. J. (2012, June). How do you incorporate modeling in analysis across scales?. Spatial and Temporal Scaling in Continental-Scale Ecology Workshop. Boulder, CO USA: NASA / NEON.
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  Brief presentation and lead of break out session discussion to discuss using modelling in concert with satellite and airborne remote sensing to scale ecological process for a NEON/NASA workshop. *I was on the steering committee of this workshop.
• Moore, D. J. (2012, May). Identifying Phenological Data Products.. USA National Phenology Network RCN Workshop. Milwaukee, WI: NSF Research Co-Ordinating Network: USA NPN.
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  Presentation on how members of the broader USA NPN might contribute to the development of data products which track phenology in the USA. The presentation was followed by an afternoon workshop involving 50 different stakeholders.
• Moore, D. J., & Monson, R. (2012, October). The 5th Annual Fluxcourse. Short video.
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  Video
• Shiach, I., Khairy, M., McCorkel, J., & Moore, D. J. (2012, October). Development of a calibrated multi-spectral imaging system for high-resolution monitoring of landscape phenology. Sixth Annual PROSE Meeting. Tucson AZ: USA National Phenology Network (USA-NPN) & SW Region, American Society for Photogrammetry & Remote Sensing (SW-ASPRS).
• Johnson, B., Kuester, M., & Moore, D. J. (2011, Aug). The NEON Airborne Observation Platform: A Tool for Scaling from Organismal to Continental Scales. ESA Fall Meeting.
• Moore, D. (2011, March). Developing ecological principles and theory for continental-scale ecology using the NEON platform. Biogeochemistry Seminar SeriesCornell University.
• Moore, D. (2011, March). Fusing observations, models and manipulative experiments to determine forest responses to environmental change. NSF EPSCoR program, Dept. of Land Resources and Environmental SciencesMontana State University.
• Moore, D. J. (2011, June). Combining models and data: the changing role of ecosystems. Harvard REU program. Havard Forest, MA: Harvard.
• Moore, D. J. (2011, October). Carbon cycling in forests of the Mountain West: plots, models, towers, planes and beetles. Invited seminar to the Nichols School of the Environment.
• Moore, D. J. (2011, October). Ecological Responses to Environmental Change  measurements and models at different scales. Presentation to the Atmospheric Sciences Department. Madison, WI.

Poster Presentations

• Gallery, R. E., Fehmi, J. S., Rasmussen, C., Moore, D. J., & Espinosa, N. (2019, Fall). Buried woodchips or biochar as a means of soil restoration: Effects on microbial activities, soil carbon cycling and plant cover in a semiarid ecosystem. AGU annual meeting. San Francisco, CA: American Geophysical Union.
• Trouet, V. M., Moore, D. J., Belmecheri, S., Alfaro-Sanchez, R., & Hudson, A. (2017, December). Summer Temperature Extremes in the Northern Rockies: A Tree-Ring-Based Reconstruction (1670-2014) from the Bighorn Mountains, WY. AGU Fall Meeting. New Orleans, LA: American Geophysical Union.
• Espinosa, N., Moore, D. J., Fehmi, J. S., Rasmussen, C., & Gallery, R. E. (2016, Winter). Effect of coarse woody debris on microbial activity in a semiarid ecosystem. 2016 American Geophysical Union Annual Meeting. San Francisco CA.
• Fojtik, A. C., Barnes, M. L., Breshears, D. D., Law, D. J., & Moore, D. J. (2016, Aug). Water stress reduces evaporative cooling in hybrid poplars during hot drought: genotype influences degree of coupling between thermal stress and atmosphere. Undergraduate Research Opportunities Consortium (UROC) Poster Session (in conjunction with the Biosphere 2 Research Experience for Undergraduates [REU] Program). Tucson, Arizona..
• Garcia, E. S., Swann, A. L., Field, J. P., Breshears, D. D., Law, D. J., Minor, D. M., Moore, D. J., Saleska, S. R., Stark, S. C., & Villegas, J. C. (2016, Oct). Exploring ecoclimate teleconnections: Would large-scale tree die-off elsewhere impact the desert southwest NEON domain?. 13th Annual Research Insights in Semiarid Ecosystems Symposium. Tucson, Arizona.: University of Arizona and Agricultural Research Service.
• Alexander, M. R., Babst, F., Montane, F., Trouet, V. M., & Moore, D. J. (2015, Jan). Eddy Meets Dendro: Carbon Allocation in Two Contrasting Forest Ecosystems. 5th North American Carbon Program Principle Investigators Meeting.. Washington, D.C.: North American Carbon Program.
• Espinosa, N., Moore, D. J., Rasmussen, C., Fehmi, J. S., & Gallery, R. E. (2015, Nov). Some like it hot: soil extracellular enzyme activity and respiration are unresponsive to warming treatments in two semi-arid soils. Institute of the Environment (IE) GradBlitz. Tucson, AZ.
• Gerst, K. L., Rosemartin, A. H., Denny, E. G., Marsh, R., Crimmins, T. M., Moore, D. J., & Weltzin, J. F. (2015, August). Data products to support assessment and forecasting of phenology on multiple data products to support assessment and forecasting of phenology on multiple spatial scales.. 2015 Long Term Ecological Research Network (LTER) All Scientists Meeting. Estes Park, Colorado.
• Gerst, K. L., Weltzin, J. F., Rosemartin, A. H., Denny, E. G., Marsh, R., Crimmins, T. M., Moore, D. J., Gerst, K. L., Weltzin, J. F., Rosemartin, A. H., Denny, E. G., Marsh, R., Crimmins, T. M., & Moore, D. J. (2015, August). Data products to support assessment and forecasting of phenology on multiple spatiotemporal scales.. 100th Annual Meeting of the Ecological Society of America. Baltimore, Maryland.
• Montane, F., & Moore, D. J. (2015, Jan). Comparing simulations of the Community Land Model (CLM) with observations on multiple timescales for temperate forests in North America.. 5th North American Carbon Program Principle Investigators Meeting.. Washington, D.C.: North American Carbon Program.
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  Montane F, Fox A, Alexander MR, Babst F, Trouet V, Richardson A, Chen M, Arellano A, Hollinger D, Moore D. Comparing simulations of the Community Land Model (CLM) with observations on multiple timescales for temperate forests in North America. 5th North American Carbon Program Principle Investigators Meeting. Washington, D.C.
• Liu, Y., & Moore, D. J. (2014, Dec). Long-term vegetation change in northeastern United States: A model intercomparison. American Geophysical Union Fall Meeting. San Francisco: American Geophysical Union.
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  Yao Liu1 Jaclyn Hatala Matthes2 Christine Rollinson3 David J Moore1 Michael Dietze3 Avelino F Arellano1 Andria Dawson4 Andrew M Fox5 Simon J Goring6 Jason S McLachlan7 Francesc Montane1Gabriel Moreno1 Benjamin Poulter8 Tristan L Quaife9 Daniel Ricciuto10 Joerg Steinkamp11 Kevin Schaefer12 John W Williams6 and PalEON Team (1)University of Arizona (2)Dartmouth College (3)Boston University (4)University of CaliforniaBerkeley (5)NEON (6)University of Wisconsin (7)University of California Davis (8)Montana State University (9)University of Reading (10) Oak Ridge National Laboratory (11) Senckenberg (12) University of Colorado https://yaoliuecology.files.wordpress.com/2015/02/liu_vegdyn_agu2014_dec12-pptx.pdf
• Maurer, G., Chan, A., Trahan, N., Moore, D. J., & Bowling, D. (2014, Dec). Soil carbon cycle 13C responses in the decade following bark beetle and girdling disturbance. American Geophysical Union Fall Meeting. San Francisco: American Geophysical Union.
• Alexander, R., Trouet, V. M., Babst, F., & Moore, D. J. (2013, Feb). Hydrologically-driven spatial heterogeneity of tree productivity in the Southwest.. North American Carbon Program All Investigators Meeting. Albuquerque, NM: North American Carbon Program.
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  We here present an empirical assessment of hydrologically-driven spatial heterogeneity of forest productivity and climate sensitivity in the Southwest. Concretely, we aim to:1. Investigate the influence of hydrologically-driven microclimate variability on tree productivity by combining spatially explicit hydrological and topographic data with tree-ring and fluxtower-based NPP quantifications;2. Investigate the influence of hydrologically-driven microclimate variability on tree climate sensitivity by measuring a suite of tree-ring parameters and linking them to climate data;First, we apply a NPP-focused tree-ring sampling approach to three intensive research sites within the Jemez River Basin Critical Zone Observatory (JRB-CZO). Tree-ring data offer a valuable archive to validate and improve NPP estimations and we here integrate them with high spatial resolution hydrological data to improve our process-based understanding of the water-carbon nexus. We use site-specific flux-tower measurements as a benchmark for our tree-ring based NPP estimates.Furthermore, we measure a suite of tree-ring parameters that can provide complimentary climatic information: tree ring width in the Southwest is primarily driven by water availability, whereas maximum latewood density measurements can reflect temperature variability, and stable carbon and oxygen isotope composition can provide information about water source region. Understanding how each of these tree-ring parameters varies with microclimate conditions provides us with holistic and detailed insight in the hydrological and climatic drivers of tree growth and productivity in the Southwest.In a second step, we extrapolate tier-one findings across the JRB-CZO using an existing network of tree-ring series to test microclimate-dependent sensitivity and productivity across a wide range of site conditions and thus to link the rich paleo-drought record of the Southwest with methods to understand and predict the impact of changing hydrological conditions on plant productivity. This record represents a data constrained historical description of the spatial variability in water supply in Arizona and New Mexico.
• Dynes, E. L., Moore, D. J., Hartfield, K., Quaife, T., & Trahan, N. (2013, Feb). Combining field observations and Remote Sensing to Estimate the Impact of Bark Beetle Disturbance on the Regional Carbon Balance of North West Colorado. North American Carbon Program All Investigators Meeting. Albuquerque, NM: North American Carbon Program.
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  Dynes EL, Moore DJP, Hartfield K, Quaife T, Trahan NA Combining field observations and Remote Sensing to Estimate the Impact of Bark Beetle Disturbance on the Regional Carbon Balance of North West Colorado. North American Carbon Program All Investigators Meeting Albuquerque, NM, Feb 4-7, 2013
• Moore, D. J. (2013, October). The potential for hybrid poplar as a biofuel in Southern Arizona. Research Insights in Semiarid Ecosystems (RISE) Symposium. University of Arizona: University of Arizona.
• Moore, D. J., Trahan, N., Dynes, E., Zobitz, J., & Gallery, R. E. (2013, December). Modeling carbon cycle responses to tree mortality: linking microbial and biogeochemical changes. American Geophysical Union Fall Meeting. San Francisco, CA: American Geophysical Union.
• Shiach, I., Khairy, M., McCorkel, J., & Moore, D. (2012, October). Development of a calibrated multi-spectral imaging system for high-resolution monitoring of landscape phenology. Sixth Annual PROSE Meeting.
• Fox, A., Sacks, W., Moore, D., Ricciuto, D., Berukoff, S., & Schimel, D. (2011, August). Assimilation of flux measurements into the NEON-NCAR land surface model. ESA 96th Annual Meeting.
• Moore, D., Sacks, W., Fox, A., & Berukoff, S. (2011, February). Ecosystem exchange of carbon for the National Ecological Observatory Network (NEON) Realm. AmeriFlux Science Meeting & 3rd NACP All-Investigators Meeting. New Orleans, LA.
• Sacks, W., Fox, A., Moore, D., Berukoff, S., Schimel, D., & Hoar, T. (2010, Fall). Development of a data assimilation system to improve the parameterization of CLM using data from the National Ecological Observatory Network. CESM Annual Workshop. Breckenridge, CO.

Creative Productions

• Hartfield, K., van Leeuwen, W. J., Moore, D. J., Orr, B. J., Marsh, S. E., Hartfield, K., van Leeuwen, W. J., Moore, D. J., Orr, B. J., Marsh, S. E., Hartfield, K., van Leeuwen, W. J., Moore, D. J., Orr, B. J., & Marsh, S. E. (2013. Remote Sensing and GIS - Natural Resource Applications at Multiple Spatial and Temporal Scales.. GIS career day. Tucson: ARSC.
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  2013 Kyle Hartfield, Willem J.D. van Leeuwen, Barron Orr, David Moore, Stuart Marsh, 2013. Remote Sensing and GIS - Natural Resource Applications at Multiple Spatial and Temporal Scales. GIS Career Day, University of Arizona, March 6, Tucson, AZ,USA.

Others

• Gerst, K. L., Rosemartin, A. H., Denny, E. G., Enquist, C. A., Marsh, R., Moore, D. J., Crimmins, T. M., & Weltzin, J. F. (2015, March). USA National Phenology Network data product development framework and data product catalog, v 1.0.. USA National Phenology Network Technical Report Series..
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  USA-NPN Technical Series 2015-001.
• Hartfield, K., van Leeuwen, W. J., Moore, D. J., Orr, B. J., Marsh, S. E., Hartfield, K., van Leeuwen, W. J., Moore, D. J., Orr, B. J., & Marsh, S. E. (2014, March, 2013). Remote Sensing and GIS - Natural Resource Applications at Multiple Spatial and Temporal Scales.. GIS career day.
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  2013 Kyle Hartfield, Willem J.D. van Leeuwen, Barron Orr, David Moore, Stuart Marsh, 2013. Remote Sensing and GIS - Natural Resource Applications at Multiple Spatial and Temporal Scales. GIS Career Day, University of Arizona, March 6, Tucson, AZ,USA.
• Moore, D. J. (2012, February). Forest Pine Beetle Disturbance, Soil Carbon Cycling and Climate Change. http://vimeo.com/33568638
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  Exact Date: 2/29/2012
• Moore, D. J. (2012, July). E-learning website: The 5th Annual Flux Course. http://www.fluxcourse.org/moodle/
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  Exact Date: 7/15/2012
• Moore, D. J. (2005). Tree growth and carbon balance in a temperate forest exposed to elevated carbon dioxide for eight years.