Search Results - "Moore, J D P"

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  1. 1

    A primer for data assimilation with ecological models using Markov Chain Monte Carlo (MCMC) by Zobitz, J. M., Desai, A. R., Moore, D. J. P., Chadwick, M. A.

    Published in Oecologia (01-11-2011)
    “…Data assimilation, or the fusion of a mathematical model with ecological data, is rapidly expanding knowledge of ecological systems across multiple spatial and…”
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    Journal Article
  2. 2

    Coupled afterslip and transient mantle flow after the 2011 Tohoku earthquake by Muto, J, Moore, J D P, Barbot, S, Iinuma, T, Ohta, Y, Iwamori, H

    Published in Science advances (01-09-2019)
    “…Modeling of postseismic deformation following great earthquakes has revealed the viscous structure of the mantle and the frictional properties of the fault…”
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  3. 3

    Integration of Process-based Soil Respiration Models with Whole-Ecosystem CO₂ Measurements by Zobitz, J. M, Moore, D. J. P, Sacks, W. J, Monson, R. K, Bowling, D. R, Schimel, D. S

    Published in Ecosystems (New York) (01-03-2008)
    “…We integrated soil models with an established ecosystem process model (SIPNET, simplified photosynthesis and evapotranspiration model) to investigate the…”
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  4. 4

    Chlorophyll Fluorescence Better Captures Seasonal and Interannual Gross Primary Productivity Dynamics Across Dryland Ecosystems of Southwestern North America by Smith, W. K., Biederman, J. A., Scott, R. L., Moore, D. J. P., He, M., Kimball, J. S., Yan, D., Hudson, A., Barnes, M. L., MacBean, N., Fox, A. M., Litvak, M. E.

    Published in Geophysical research letters (28-01-2018)
    “…Satellite remote sensing provides unmatched spatiotemporal information on vegetation gross primary productivity (GPP). Yet understanding of the relationship…”
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  5. 5

    Flexural Isostasy: Constraints From Gravity and Topography Power Spectra by Watts, A. B., Moore, J. D. P.

    “…We have used spherical harmonic coefficients that describe Earth's gravity anomaly and topography fields to quantify the role of isostasy in contributing to…”
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  6. 6

    The AmeriFlux network: A coalition of the willing by Novick, K.A., Biederman, J.A., Desai, A.R., Litvak, M.E., Moore, D.J.P., Scott, R.L., Torn, M.S.

    Published in Agricultural and forest meteorology (15-02-2018)
    “…•The AmeriFlux network was an early adopter of a network-enabled approach to environmental science.•Unlike many other networks, AmeriFlux relies on voluntary…”
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  7. 7

    Understanding the relationship between vegetation greenness and productivity across dryland ecosystems through the integration of PhenoCam, satellite, and eddy covariance data by Yan, D., Scott, R.L., Moore, D.J.P., Biederman, J.A., Smith, W.K.

    Published in Remote sensing of environment (15-03-2019)
    “…Drylands account for approximately 40% of the global land surface and play a dominant role in the trend and variability of terrestrial carbon uptake and…”
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    Testing water fluxes and storage from two hydrology configurations within the ORCHIDEE land surface model across US semi-arid sites by MacBean, Natasha, Scott, Russell L, Biederman, Joel A, Ottlé, Catherine, Vuichard, Nicolas, Ducharne, Agnès, Kolb, Thomas, Dore, Sabina, Litvak, Marcy, Moore, David J. P

    Published in Hydrology and earth system sciences (10-11-2020)
    “…Plant activity in semi-arid ecosystems is largely controlled by pulses of precipitation, making them particularly vulnerable to increased aridity that is…”
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  11. 11

    The AmeriFlux network: A coalition of the willing by Novick, K. A., Biederman, J. A., Desai, A. R., Litvak, M. E., Moore, D. J. P., Scott, R. L., Torn, M. S.

    Published in Agricultural and forest meteorology (23-10-2017)
    “…AmeriFlux scientists were early adopters of a network-enabled approach to ecosystem science that continues to transform the study of land-atmosphere…”
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    Journal Article
  12. 12

    A reporting format for leaf-level gas exchange data and metadata by Ely, Kim S., Rogers, Alistair, Agarwal, Deborah A., Ainsworth, Elizabeth A., Albert, Loren P., Ali, Ashehad, Anderson, Jeremiah, Aspinwall, Michael J., Bellasio, Chandra, Bernacchi, Carl, Bonnage, Steve, Buckley, Thomas N., Bunce, James, Burnett, Angela C., Busch, Florian A., Cavanagh, Amanda, Cernusak, Lucas A., Crystal-Ornelas, Robert, Damerow, Joan, Davidson, Kenneth J., De Kauwe, Martin G., Dietze, Michael C., Domingues, Tomas F., Dusenge, Mirindi Eric, Ellsworth, David S., Evans, John R., Gauthier, Paul P.G., Gimenez, Bruno O., Gordon, Elizabeth P., Gough, Christopher M., Halbritter, Aud H., Hanson, David T., Heskel, Mary, Hogan, J. Aaron, Hupp, Jason R., Jardine, Kolby, Kattge, Jens, Keenan, Trevor, Kromdijk, Johannes, Kumarathunge, Dushan P., Lamour, Julien, Leakey, Andrew D.B., LeBauer, David S., Li, Qianyu, Lundgren, Marjorie R., McDowell, Nate, Meacham-Hensold, Katherine, Medlyn, Belinda E., Moore, David J.P., Negrón-Juárez, Robinson, Niinemets, Ülo, Osborne, Colin P., Pivovaroff, Alexandria L., Poorter, Hendrik, Reed, Sasha C., Ryu, Youngryel, Sanz-Saez, Alvaro, Schmiege, Stephanie C., Serbin, Shawn P., Sharkey, Thomas D., Slot, Martijn, Smith, Nicholas G., Sonawane, Balasaheb V., South, Paul F., Souza, Daisy C., Stinziano, Joseph Ronald, Stuart-Haëntjens, Ellen, Taylor, Samuel H., Tejera, Mauricio D., Uddling, Johan, Vandvik, Vigdis, Varadharajan, Charuleka, Walker, Anthony P., Walker, Berkley J., Warren, Jeffrey M., Way, Danielle A., Wolfe, Brett T., Wu, Jin, Wullschleger, Stan D., Xu, Chonggang, Yan, Zhengbing, Yang, Dedi

    Published in Ecological informatics (01-03-2021)
    “…Leaf-level gas exchange data support the mechanistic understanding of plant fluxes of carbon and water. These fluxes inform our understanding of ecosystem…”
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