Ecosystem-scale measurements of biomass water using cosmic ray neutrons

Geophysical Research Letters

Volumn 40, Issue 15, 2013, Pages 3929-3933

  Franz, Trenton E ^a,b   Zreda, Marek ^a   Rosolem, Rafael ^a,c   Hornbuckle, Brian K ^d   Irvin, Samantha L ^d   Adams, Henry ^e   Kolb, Thomas E ^f   Zweck, Chris ^a   Shuttleworth, W James ^a  

^a UNIVERSITY OF ARIZONA   (United States)

^b UNIVERSITY OF NEBRASKA LINCOLN   (United States)

^c UNIVERSITY OF BRISTOL   (United Kingdom)

^d IOWA STATE UNIVERSITY   (United States)

^e LOS ALAMOS NATIONAL LABORATORY   (United States)

^f NORTHERN ARIZONA UNIVERSITY   (United States)

Author keywords

biomass; cosmic ray neutrons; large scale

Indexed keywords

CONTINUOUS MEASUREMENTS; COSMIC RAY NEUTRON; DIRECT OBSERVATIONS; GLOBAL CARBON CYCLE; LARGE SCALE; PONDEROSA PINE FOREST; SCIENTIFIC DISCIPLINE; WATER EQUIVALENT;

COSMIC RAY MEASUREMENT; COSMIC RAYS; ECOSYSTEMS; ENERGY TRANSFER; ESTIMATION; NEUTRONS; UNCERTAINTY ANALYSIS;

BIOMASS;

AGRICULTURAL LAND; BIOMASS; CARBON CYCLE; COSMIC RAY; ESTIMATION METHOD; EXPERIMENTAL STUDY; FOREST ECOSYSTEM; GLOBAL CHANGE; MAIZE; MASS TRANSFER; NONDESTRUCTIVE TESTING;

ZEA MAYS;

EID: 84881272636     PISSN: 00948276     EISSN: 19448007     Source Type: Journal    
DOI: 10.1002/grl.50791     Document Type: Article

References (21)

1. Anderson, E. L., (1988), Tillage and N fertilization effects on maize root growth and root:shoot ratio, Plant Soil, 108, 245-251.
2. Creutzig, F., A. Popp, R. Plevin, G. Luderer, J. Minx, and, O. Edenhofer, (2012), Reconciling top-down and bottom-up modelling on future bioenergy deployment, Nat. Clim. Chang., 2 (5), 320-327, doi: 10.1038/nclimate1416.
3. Desilets, D., (2011), Sandia Report: SAND2011-1101, Radius of influence for a cosmic-ray soil moisture probe: Theory and Monte Carlo simulations, Sandia National Laboratories, Albuquerque, New Mexico 87185 and Livermore, California 94550.
4. Desilets, D., and, M. Zreda, (2013), Footprint diameter for a cosmic-ray soil moisture probe: Theory and Monte Carlo simulations, Water Resour. Res., 49, 3566-3575, doi: 10.1002/wrcr.20187.
5. Dore, S., T. E. Kolb, M. Montes-Helu, S. E. Eckert, B. W. Sullivan, B. A. Hungate, J. P. Kaye, S. C. Hart, G. W. Koch, and, A. Finkral, (2010), Carbon and water fluxes from ponderosa pine forests disturbed by wildfire and thinning, Ecol. Appl., 20 (3), 663-683, doi: 10.1890/09-0934.1.
6. Enquist, B. J., E. P. Economo, T. E. Huxman, A. P. Allen, D. D. Ignace, and, J. F. Gillooly, (2003), Scaling metabolism from organisms to ecosystems, Nature, 423 (6940), 639-642, doi: 10.1038/nature01671.
7. Franz, T. E., M. Zreda, P. A. Ferre, R. Rosolem, C. Zweck, S. Stillman, X. Zeng, and, W. J. Shuttleworth, (2012), Measurement depth of the cosmic-ray soil moisture probe affected by hydrogen from various sources, Water Resour. Res., 48, W08515, doi: 10.1029/2012WR011871.
8. Franz, T. E., M. Zreda, R. Rosolem, and, P. A. Ferre, (2013), A universal calibration function for determination of soil moisture with cosmic-ray neutrons, Hydrol. Earth Syst. Sci., 17, 453-460, doi: 10.5194/hess-17-453-2013.
9. Hansen, M. C., R. S. Defries, J. R. G. Townshend, and, R. Sohlberg, (2000), Global land cover classification at 1km spatial resolution using a classification tree approach, Int. J. Remote Sens., 21 (6-7), 1331-1364.
10. Jenkins, J. C., D. C. Chojnacky, L. S. Heath, and, R. A. Birdsey, (2003), National-scale biomass estimators for United States tree species, For. Sci., 49 (1), 12-35.
11. Knoll, G. F., (2000), Radiation Detection and Measurement, John Wiley & Sons, Inc., Hoboken, NJ.
12. Korner, C., R. Asshoff, O. Bignucolo, S. Hattenschwiler, S. G. Keel, S. Pelaez-Riedl, S. Pepin, R. T. W. Siegwolf, and, G. Zotz, (2005), Carbon flux and growth in mature deciduous forest trees exposed to elevated CO2, Science, 309 (5739), 1360-1362, doi: 10.1126/science.1113977.
13. Lefsky, M. A., W. B. Cohen, G. G. Parker, and, D. J. Harding, (2002), Lidar remote sensing for ecosystem studies, BioScience, 52 (1), 19-30, doi: 10.1641/0006-3568(2002)052[0019:lrsfes]2.0.co;2.
14. Loudermilk, E. L., J. K. Hiers, J. J. O'Brien, R. J. Mitchell, A. Singhania, J. C. Fernandez, W. P. Cropper, and, K. C. Slatton, (2009), Ground-based LIDAR: A novel approach to quantify fine-scale fuelbed characteristics, Int. J. Wildland Fire, 18 (6), 676-685, doi: 10.1071/wf07138.
15. Luyssaert, S., E. D. Schulze, A. Borner, A. Knohl, D. Hessenmoller, B. E. Law, P. Ciais, and, J. Grace, (2008), Old-growth forests as global carbon sinks, Nature, 455 (7210), 213-215, doi: 10.1038/nature07276.
16. Ozanne, C. M. P., et al. (2003), Biodiversity meets the atmosphere: A global view of forest canopies, Science, 301 (5630), 183-186, doi: 10.1126/science.1084507.
17. Purves, D., and, S. Pacala, (2008), Predictive models of forest dynamics, Science, 320 (5882), 1452-1453, doi: 10.1126/science.1155359.
18. Rosolem, R., W. J. Shuttleworth, M. Zreda, T. E. Franz, X. Zeng, and, S. A. Kurc, (2013), The effect of atmospheric water vapor on the cosmic-ray soil moisture signal, J. Hydrometeorol., doi: 10.1175/JHM-D-12-0120.1.
19. Schmidt, M. W. I., et al. (2011), Persistence of soil organic matter as an ecosystem property, Nature, 478 (7367), 49-56, doi: 10.1038/nature10386.
20. Zreda, M., D. Desilets, T. P. A. Ferre, and, R. L. Scott, (2008), Measuring soil moisture content non-invasively at intermediate spatial scale using cosmic-ray neutrons, Geophys. Res. Lett., 35, L21402, doi: 10.1029/2008gl035655.
21. Zreda, M., W. J. Shuttleworth, X. Xeng, C. Zweck, D. Desilets, T. E. Franz, and, R. Rosolem, (2012), COSMOS: The COsmic-ray Soil Moisture Observing System, Hydrol. Earth Syst. Sci., 16, 4079-4099, doi: 10.5194/hess-16-1-2012.