A geostatistical synthesis study of factors affecting gross primary productivity in various ecosystems of North America

Biogeosciences

Volumn 7, Issue 9, 2010, Pages 2655-2671

  Yadav, V ^a   Mueller, K L ^a   Dragoni, D ^b   Michalak, A M ^a  

^a UNIVERSITY OF MICHIGAN   (United States)

^b INDIANA UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN ANALYSIS; COVARIANCE ANALYSIS; NET PRIMARY PRODUCTION; PHYSIOLOGICAL RESPONSE; PHYSIOLOGY; PLANT; REGRESSION ANALYSIS; SEASONALITY; TIMESCALE; VAPOR PRESSURE;

NORTH AMERICA;

EID: 77956530760     PISSN: 17264170     EISSN: 17264189     Source Type: Journal    
DOI: 10.5194/bg-7-2655-2010     Document Type: Article

References (83)

1. Akaike, H.: New look at statistical-model identification, Ieee Transactions on Automatic Control, AC19, 716-723, 1974.
2. Baldocchi, D., Falge, E., Gu, L. H., Olson, R., Hollinger, D., Running, S., Anthoni, P., Bernhofer, C., Davis, K., Evans, R., Fuentes, J., Goldstein, A., Katul, G., Law, B., Lee, X. H., Malhi, Y., Meyers, T., Munger, W., Oechel, W., U, K. T. P., Pilegaard, K., Schmid, H. P., Valentini, R., Verma, S., Vesala, T., Wilson, K., and Wofsy, S.: Fluxnet: A new tool to study the temporal and spatial variability of ecosystem-scale carbon dioxide, water vapor, and energy flux densities, B. Am. Meteorol. Soc., 82, 2415-2434, 2001a.
3. Baldocchi, D., Falge, E., and Wilson, K.: A spectral analysis of biosphere-atmosphere trace gas flux densities and meteorological variables across hour to multi-year time scales, Agric. For. Meteorol., 107, 1-27, 2001b.
4. Baldocchi, D.: Breathing of the terrestrial biosphere: Lessons learned from a global network of carbon dioxide flux measurement systems, Aust. J. Bot., 56, 1-26, doi:10.1071/bt07151, 2008. (Pubitemid 351214512)
5. Baldocchi, D. D., Xu, L. K., and Kiang, N.: How plant functional-type, weather, seasonal drought, and soil physical properties alter water and energy fluxes of an oak-grass savanna and an annual grassland, Agric. For. Meteorol., 123, 13-39, doi:10.1016/j.agrformet.2003.11.006, 2004. (Pubitemid 38498090)
6. Baldocchi, D. D., Black, T. A., Curtis, P. S., Falge, E., Fuentes, J. D., Granier, A., Gu, L., Knohl, A., Pilegaard, K., Schmid, H. P., Valentini, R., Wilson, K., Wofsy, S., Xu, L., and Yamamoto, S.: Predicting the onset of net carbon uptake by deciduous forests with soil temperature and climate data: A synthesis of fluxnet data, Int. J. Biometeorol., 49, 377-387, doi:10.1007/s00484-005-0256-4, 2005. (Pubitemid 41116467)
7. Barr, A. G., Black, T. A., Hogg, E. H., Griffis, T. J., Morgenstern, K., Kljun, N., Theede, A., and Nesic, Z.: Climatic controls on the carbon and water balances of a boreal aspen forest, 1994-2003, Glob. Change Biol., 13, 561-576, doi:10.1111/j.1365-2486.2006.01220.x, 2007.
8. Bradford, M. and Reynolds, J.: Scaling terrestrial biogeochemical processes contrasting intact and model experimental systems, in: Scaling and uncertainty analysis in ecology, edited by: Wu, J., Jones, K. B., Li, H., and Loucks, O. L., Springer, Dordrecht, The Netherlands, 109-130, 2006.
9. Burnham, K. P. and Anderson, D. R.: Model selection and inference: A practical information-theoretic approach, Springer-Verlag, New York, 1998.
10. Chambers, J. Q., Tribuzy, E. S., Toledo, L. C., Crispim, B. F., Higuchi, N., dos Santos, J., Araujo, A. C., Kruijt, B., Nobre, A. D., and Trumbore, S. E.: Respiration from a tropical forest ecosystem: Partitioning of sources and low carbon use efficiency, Ecol. Appl., 14, S72-S88, 2004.
11. Chatfield, C.: The analysis of time series: An introduction, 6 ed., Chapman & Hall, Boca Raton, Florida, 352 pp., 2003.
12. Cressie, N. A. C.: Statistics for spatial data, John Wiley & Sons, New York, 900 pp., 1993.
13. Davidson, E. A., Verchot, L. V., Cattânio, J. H., Ackerman, I. L., and Carvalho, J. E. M.: Effects of soil water content on soil respiration in forests and cattle pastures of eastern amazonia, Biogeochemistry, 48, 53-69, 2000.
14. Day, M. E.: Influence of temperature and leaf-to-air vapor pressure deficit on net photosynthesis and stomatal conductance in red spruce (picea rubens), Tree Physiol., 20, 57-63, 2000.
15. Desai, A. R., Richardson, A. D., Moffat, A. M., Kattge, J., Hollinger, D. Y., Barr, A., Falge, E., Noormets, A., Papale, D., Reichstein, M., and Stauch, V. J.: Cross-site evaluation of eddy covariance gpp and re decomposition techniques, Agric. For. Meteorol., 148, 821-838, 2008.
16. Dunn, A. L., Barford, C. C., Wofsy, S. C., Goulden, M. L., and Daube, B. C.: A long-term record of carbon exchange in a boreal black spruce forest: Means, responses to interannual variability, and decadal trends, Glob. Change Biol., 13, 577-590, doi:10.1111/j.1365-2486.2006.01221.x, 2007.
17. Ehleringer, J. R. and Field, C. B.: Scaling physiological processes: Leaf to globe, in: Academic Press Inc, San Diego, California, 1993.
18. Erickson, T. A., Williams, M. W., and Winstral, A.: Persistence of topographic controls on the spatial distribution of snow in rugged mountain terrain, colorado, united states, Water Resour. Res., 41, doi:10.1029/ 2003wr002973, 2005. (Pubitemid 40707959)
19. Gao, F., Morisette, J. T., Wolfe, R. E., Ederer, G., Pedelty, J., Masuoka, E., Myneni, R., Tan, B., and Nightingale, J.: An algorithm to produce temporally and spatially continuous modis-lai time series, IEEE Geosci. Remote Sens. Lett., 5, 60-64, doi:10.1109/lgrs.2007.907971, 2008.
20. Gardner, R. H., Kemp, W. M., Kennedy, V. S., and Peterson, J. E.: Scaling relations in experimental ecology, in: Columbia University Press, New York, 2001.
21. 2 exchange in two sagebrush-steppe ecosystems, Rangel. Ecol. Manag., 59, 585-599, 2006.
22. Goldstein, A. H., Hultman, N. E., Fracheboud, J. M., Bauer, M. R., Panek, J. A., Xu, M., Qi, Y., Guenther, A. B., and Baugh, W.: Effects of climate variability on the carbon dioxide, water, and sensible heat fluxes above a ponderosa pine plantation in the sierra nevada (ca), Agric. For. Meteorol., 101, 113-129, 2000.
23. 2 fluxes recovered using a geostatistical inverse modeling approach: 1. Results including auxiliary environmental data, J. Geophys. Res., 113, D21115, doi:10.1029/2007JD009733, 2008.
24. Granger, C. W. J.: Investigating causal relations by econometric models and cross-spectral methods Econometrica, 37, 424-438, 1969.
25. Greig-Smith, P.: Pattern in vegetation, J. Ecol., 67, 755-779, 1979.
26. Hacker, R. S. and Hatemi-J., A.: Tests for causality between integrated variables using asymptotic and bootstrap distributions: Theory and application, Appl. Econ., 38, 1489-1500, doi:10.1080/00036840500405763, 2006. (Pubitemid 44083980)
27. Hoeting, J. A., Madigan, D., Raftery, A. E., and Volinsky, C. T.: Bayesian model averaging: A tutorial (vol 14, pg 382, 1999), Statistical Science, 15, 193-195, 2000.
28. Hoeting, J. A., Davis, R. A., Merton, A. A., and Thompson, S. E.: Model selection for geostatistical models, Ecol. Appl., 16, 87-98, 2006.
29. Houghton, R. A.: Interannual variability in the global carbon cycle, J. Geophys. Res.-Atmos., 105, 20121-20130, 2000.
30. Huete, A., Justice, C., and Liu, H.: Development of vegetation and soil indexes for modis-eos, Remote Sens. Environ., 49, 224-234, 1994.
31. Huete, A., Justice, C., and Leeuwen, W. v.: Modis vegetation index (mod 13) algorithm theoretical basis document, NASA, 120, 1999.
32. Hui, D. F., Luo, Y. Q., and Katul, G.: Partitioning interannual variability in net ecosystem exchange between climatic variability and functional change, Tree Physiol., 23, 433-442, 2003.
33. Iio, A., Fukasawa, H., Nose, Y., and Kakubari, Y.: Stomatal closure induced by high vapor pressure deficit limited midday photosynthesis at the canopy top of fagus crenata blume on naeba mountain in Japan, Trees-Struct. Funct., 18, 510-517, 2004.
34. Ito, A., Saigusa, N., Murayama, S., and Yamamoto, S.: Modeling of gross and net carbon dioxide exchange over a cool-temperate deciduous broad-leaved forest in Japan: Analysis of seasonal and interannual change, Agric. For. Meteorol., 134, 122-134, doi:10.1016/j.agrformet.2005.11.002, 2005. (Pubitemid 43158403)
35. Jarvis, P. G.: Prospects for bottom-up models, in: Scaling physiological processes: Leaf to globe, edited by: Ehleringer, J. R. and Field, C. B., Academic Press, San Diego, 117-126, 1993.
36. Jarvis, P. G.: Scaling processes and problems, Plant Cell Environ., 18, 1079-1089, 1995.
37. Jeffreys, H.: The theory of probability, Oxford University Press, New York, 1961.
38. Jonsson, P. and Eklundh, L.: Timesat-a program for analyzing time-series of satellite sensor data, Comput. Geosci., 30, 833-845, doi:10.1016/j.cageo. 2004.05.006, 2004. (Pubitemid 39347629)
39. Kass, R. E. and Raftery, A. E.: Bayes factors, J. Am. Stat. Assoc., 90, 773-795, 1995.
40. Kitanidis, P. K.: Quasi-linear geostatistical theory for inversing, Water Resour. Res., 31, 2411-2419, 1995.
41. Landsberg, J. J. and Waring, R. H.: A generalised model of forest productivity using simplified concepts of radiation-use efficiency, carbon balance and partitioning, For. Ecol. Manage., 95, 209-228, 1997.
42. Law, B. E., Falge, E., Gu, L., Baldocchi, D. D., Bakwin, P., Berbigier, P., Davis, K., Dolman, A. J., Falk, M., Fuentes, J. D., Goldstein, A., Granier, A., Grelle, A., Hollinger, D., Janssens, I. A., Jarvis, P., Jensen, N. O., Katul, G., Mahli, Y., Matteucci, G., Meyers, T., Monson, R., Munger, W., Oechel, W., Olson, R., Pilegaard, K., Paw U, K. T., Thorgeirsson, H., Valentini, R., Verma, S., Vesala, T., Wilson, K., and Wofsy, S.: Environmental controls over carbon dioxide and water vapor exchange of terrestrial vegetation, Agric. For. Meteorol., 113, 97-120, 2002.
43. Leamer, E. E.: Specification searches: Ad hoc inference with nonexperimental data, John Wiley, New York, 1978.
44. 2 flux in a cool temperate deciduous broad-leaved forest, Ecol. Res., 17, 401-409, 2002.
45. Levin, S. A.: Challenges in the development of a theory of ecosystem structure and function., in: Perspectives in ecological theory, edited by: Roughgarden, J., May, R. M., and Levin, S. A., Princeton University Press, Princeton, N.J., 242-255, 1989.
46. Levin, S. A.: The problem of pattern and scale in ecology, Ecology, 73, 1943-1967, 1992.
47. Levin, S. A.: Complex adaptive systems: Exploring the known, the unknown and the unknowable, Bull. Amer. Math. Soc., 40, 3-19, 2003.
48. Lloyd, J. and Taylor, J. A.: On the temperature-dependence of soil respiration, Funct. Ecol., 8, 315-323, 1994.
49. Ma, S. Y., Baldocchi, D. D., Xu, L. K., and Hehn, T.: Inter-annual variability in carbon dioxide exchange of an oak/grass savanna and open grassland in california, Agric. For. Meteorol., 147, 157-171, doi:10.1016/j.agrformet.2007.07.008, 2007. (Pubitemid 47616266)
50. 2 exchange: Vegetation photosynthesis and respiration model (vprm), Global Biogeochem. Cy., 22, GB2005, doi:10.1029/2006gb002735, 2008.
51. Makela, A., Pulkkinen, M., Kolari, P., Lagergren, F., Berbigier, P., Lindroth, A., Loustau, D., Nikinmaa, E., Vesala, T., and Hari, P.: Developing an empirical model of stand gpp with the lue approach: Analysis of eddy covariance data at five contrasting conifer sites in europe, Glob. Change Biol., 14, 92-108, doi:10.1111/j.1365-2486.2007.01463.x, 2008. (Pubitemid 350226913)
52. McMillan, A. M. S., Winston, G. C., and Goulden, M. L.: Age-dependent response of boreal forest to temperature and rainfall variability, Glob. Change Biol., 14, 1904-1916, doi:10.1111/j.1365-2486.2008.01614.x, 2008. (Pubitemid 352003857)
53. McMurtrie, R. E., Gholz, H. L., Linder, S., and Gower, S. T.: Climatic factors controlling the productivity of pine stands: A model-based analysis, in: Ecological bulletins; environmental constraints on the structure and productivity of pine forest ecosystems: A comparative analysis, edited by: Gholz, H. L., Linder, S., and McMurtrie, R. E., Ecological bulletins: 43, Munksgaard {a}, 173-188, 1994.
54. Michalak, A. M., Bruhwiler, L., and Tans, P. P.: A geostatistical approach to surface flux estimation of atmospheric trace gases, J. Geophys. Res.-Atmos., 109, D14109, doi:10.1029/2003jd004422, 2004. (Pubitemid 39364465)
55. Moffat, A. M., Papale, D., Reichstein, M., Hollinger, D. Y., Richardson, A. D., Barr, A. G., Beckstein, C., Braswell, B. H., Churkina, G., Desai, A. R., Falge, E., Gove, J. H., Heimann, M., Hui, D. F., Jarvis, A. J., Kattge, J., Noormets, A., and Stauch, V. J.: Comprehensive comparison of gap-filling techniques for eddy covariance net carbon fluxes, Agric. For. Meteorol., 147, 209-232, doi:10.1016/j.agrformet.2007.08.011, 2007. (Pubitemid 47628782)
56. 2 fluxes recovered using a geostatistical inverse modeling approach: 1. Results using atmospheric measurements, J. Geophys. Res., 113, D21114, doi:10.1029/2007JD009734, 2008.
57. 2 flux measurements at various temporal scales using environmental data for a mixed northern hardwood forest Global Biogeochem. Cy., doi:10.1029/2009GB003642, in press., 2010.
58. Myneni, R. B., Nemani, R. R., and Running, S. W.: Estimation of global leaf area index and absorbed par using radiative transfer models, IEEE Trans. Geosci. Remote Sensing, 35, 1380-1393, 1997.
59. 2 flux in amazonia, Tellus B, 59, 338-349, doi:10.1111/j.1600-0889.2007.00270.x, 2007. (Pubitemid 47193278)
60. Olson, D. M., Dinerstein, E., Wikramanayake, E. D., Burgess, N. D., Powell, G. V. N., Underwood, E. C., D'Amico, J. A., Itoua, I., Strand, H. E., Morrison, J. C., Loucks, C. J., Allnutt, T. F., Ricketts, T. H., Kura, Y., Lamoreux, J. F., Wettengel, W. W., Hedao, P., and Kassem, K. R.: Terrestrial ecoregions of the worlds: A new map of life on earth, Bioscience, 51, 933-938, 2001.
61. Osmond, C. B.: Photosynthesis from the molecule to the biosphere: A challenge for integration, in: Photosynthesis, edited by: Briggs, W. R., Alan Liss, New York, 5-17, 1989.
62. Papale, D. and Valentini, A.: A new assessment of european forests carbon exchanges by eddy fluxes and artificial neural network spatialization, Glob. Change Biol., 9, 525-535, 2003.
63. Pielke, R. A.: Overlooked issues in the us national climate and ipcc assessments, 80th Annual Meeting of the American-Meteorological-Society, Long Beach, California, ISI:000172448300001, 1-11, 2000.
64. Powell, T. L., Bracho, R., Li, J. H., Dore, S., Hinkle, C. R., and Drake, B. G.: Environmental controls over net ecosystem carbon exchange of scrub oak in central florida, Agric. For. Meteorol., 141, 19-34, doi:10.1016/j.agrformet. 2006.09.002, 2006. (Pubitemid 44872910)
65. Raftery, A. E.: Bayesian model selection in social research, Sociol. Methodol., 25, 111-163, 1995.
66. Raftery, A. E., Madigan, D., and Hoeting, J. A.: Bayesian model averaging for linear regression models, J. Am. Stat. Assoc., 92, 179-191, 1997.
67. Reichstein, M., Falge, E., Baldocchi, D., Papale, D., Aubinet, M., Berbigier, P., Bernhofer, C., Buchmann, N., Gilmanov, T., Granier, A., Grunwald, T., Havrankova, K., Ilvesniemi H., Janous D., Knohl A., Laurila T., Lohila A., Loustau D., Matteucci G., Meyers T., Miglietta F., Ourcival J. M., Pumpanen J., Rambal S., Rotenberg E., Sanz M., Tenhunen J., Seufert G., Vaccari F., Vesala T., Yakir D., Valentini R.: On the separation of net ecosystem exchange into assimilation and ecosystem respiration: Review and improved algorithm Glob. Change Biol. 11, 1424-1439, doi:10.1111/j.1365-2486.2005.001002.x, 2005. (Pubitemid 43898766)
68. 2 flux measurement uncertainty inferred from model residuals, Agric. For. Meteorol., 148, 38-50, doi:10.1016/j.agrformet.2007.09.001, 2008. (Pubitemid 350297478)
69. 2 flux for diverse vegetation types and climate conditions, Biogeosciences, 6, 585-599, doi:10.5194/bg-6-585-2009, 2009.
70. 2 and energy fluxes over a mixed hardwood forest in the mid-western united states, Agric. For. Meteorol., 103, 357-374, 2000.
71. Schwarz, G.: Estimating dimension of a model, Annals of Statistics, 6, 461-464, 1978.
72. Sims, D. A., Rahman, A. F., Cordova, V. D., El-Masri, B. Z., Baldocchi, D. D., Bolstad, P. V., Flanagan, L. B., Goldstein, A. H., Hollinger, D. Y., Misson, L., Monson, R. K., Oechel, W. C., Schmid, H. P., Wofsy, S. C., and Xu, L.: A new model of gross primary productivity for north american ecosystems based solely on the enhanced vegetation index and land surface temperature from modis, Remote Sens. Environ., 112, 1633-1646, doi:10.1016/j.rse.2007.08.004, 2008. (Pubitemid 351375242)
73. Stoy, P. C., Katul, G. G., Siqueira, M. B. S., Juang, J. Y., McCarthy, H. R., Kim, H. S., Oishi, A. C., and Oren, R.: Variability in net ecosystem exchange from hourly to inter-annual time scales at adjacent pine and hardwood forests: A wavelet analysis, Tree Physiol., 25, 887-902, 2005.
74. 2 in relation to climate: a cross-biome analysis across multiple time scales, Biogeosciences, 6, 2297-2312, doi:10.5194/bg-6-2297-2009, 2009.
75. 2 exchange on timescales from hourly to decadal at harvard forest, J. Geophys. Res.-Biogeo., 112, G0202010, doi:1029/2006jg000293, 2007.
76. Wang, X. C., Wang, C. K., and Yu, G. R.: Spatio-temporal patterns of forest carbon dioxide exchange based on global eddy covariance measurements, Sci. China Ser. D, 51, 1129-1143, doi:10.1007/s11430-008-0087-3, 2008. (Pubitemid 352044590)
77. Wasserman, L.: Bayesian model selection and model averaging, J. Math. Psychol., 44, 92-107, 2000.
78. Wiens, J. A.: Spatial scaling in ecology, Funct. Ecol., 3, 385-397, 1989.
79. Woodward, F. I.: Climate and plant distribution, Cambridge University Press, Cambridge, 188 pp., 1987.
80. Wu, J. and Li, H.: Concept of scale and scaling, in: Scaling and uncertainty analysis in ecology: Methods and applications, edited by: Wu, J., Jones, K. B., Li, H., and Loucks, O. L., Springer, Dordrecht, The Netherlands, 3-15, 2006.
81. Xu, L. K. and Baldocchi, D. D.: Seasonal variation in carbon dioxide exchange over a mediterranean annual grassland in california, Agric. For. Meteorol., 123, 79-96, doi:10.1016/j.agrformet.2003.10.004, 2004. (Pubitemid 38498094)
82. Xu, M., DeBiase, T. A., Qi, Y., Goldstein, A., and Liu, Z. G.: Ecosystem respiration in a young ponderosa pine plantation in the sierra nevada mountains, california, Tree Physiol., 21, 309-318, 2001.
83. Yuan, W., Liu, S., Zhou, G., Zhou, G., Tieszen, L. L., Baldocchi, D., Bernhofer, C., Gholz, H., Goldstein, A. H., Goulden, M. L., Hollinger, D. Y., Hu, Y., Law, B. E., Stoy, P. C., Vesala, T., and Wofsy, S. C.: Deriving a light use efficiency model from eddy covariance flux data for predicting daily gross primary production across biomes, Agric. For. Meteorol., 143, 189-207, 2007.