Attributing the variability of eddy-covariance CO2 flux measurements across temporal scales using geostatistical regression for a mixed northern hardwood forest

Global Biogeochemical Cycles

Volumn 24, Issue 3, 2010, Pages

  Mueller, Kim L ^a   Yadav, Vineet ^a   Curtis, Peter S ^b   Vogel, Chris ^a   Michalak, Anna M ^a  

^a UNIVERSITY OF MICHIGAN   (United States)

^b OHIO STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AMERIFLUX; AUTOTROPHIC RESPIRATION; AUXILIARY VARIABLES; BAYES INFORMATION CRITERION; CARBON CYCLING; CARBON DIOXIDE FLUX; CARBON FLUXES; CARBON UPTAKE; CONTROLLING PROCESS; COVARIANCE DATA; ECOSYSTEM EXCHANGE; ENVIRONMENTAL VARIABLES; EXPLANATORY VARIABLES; FLUX MEASUREMENTS; FRACTION OF PHOTOSYNTHETICALLY ACTIVE RADIATIONS; GEOSTATISTICAL; GROWING SEASON; LEAF AREA INDEX; MULTIPLE TIME SCALE; NET ECOSYSTEM EXCHANGE; NON-LINEAR RELATIONSHIPS; NON-LINEARITY; NORTHERN HARDWOOD FOREST; OPTIMAL SETS; SITE-SPECIFIC; STRONG CORRELATION; TEMPORAL CORRELATIONS; TEMPORAL SCALE; UNIVERSITY OF MICHIGAN; VAPOR PRESSURE DEFICIT;

CARBON DIOXIDE; ECOSYSTEMS; FORESTRY; PLANTS (BOTANY); REMOTE SENSING; SUN;

PROCESS CONTROL;

CARBON DIOXIDE; CARBON FLUX; EDDY COVARIANCE; GEOSTATISTICS; GROWING SEASON; NET ECOSYSTEM EXCHANGE; NUTRIENT UPTAKE; RESPIRATION; SOLAR RADIATION; TEMPERATURE EFFECT; TIMESCALE; VAPOR PRESSURE; WOODY PLANT;

EID: 77956532612     PISSN: 08866236     EISSN: None     Source Type: Journal    
DOI: 10.1029/2009GB003642     Document Type: Article

References (48)

1. Aber, J. D., J. M. Melillo, K. J. Nadelhoffer, J. Paster, and R. D. Boone (1991), Factors controlling nitrogen cycling and nitrogen saturation in northern temperate forest ecosystems, Ecol. Appl., 1(3), 303-315, doi:10.2307/1941759.
2. Albertson, J. D., G. G. Katul, and P. Wiberg (2001), Relative importance of local and regional controls on coupled water, carbon, and energy fluxes, Adv. Water Resour., 24, 1103-1118, doi:10.1016/S0309-1708(01)00042-2. (Pubitemid 34057247)
3. Anderson, M. C., J. M. Norman, T. P. Meyers, and G. R. Diak (2000), An analytical model for estimating canopy transpiration and carbon assimilation fluxes based on canopy light-use efficiency, Agric. For. Meteorol., 101, 265-289, doi:10.1016/S0168-1923(99)00170-7. (Pubitemid 30172146)
4. Baldocchi, D., et al. (2001), FLUXNET: A new tool to study the temporal and spatial variability of ecosystem-scale carbon dioxide, water vapor, and energy flux densities, Bull. Am. Meteorol. Soc., 82(11), 2415-2434, doi:10.1175/1520-0477(2001)0822.3.CO;2.
5. Beerling, D. J., and W. P. Quick (1995), A new technique for estimating rates of carboxylation and electron transport in leaves of C3 plants for use in dynamic global vegetation models, Global Change Biol., 1(4), 289-294, doi:10.1111/j.1365-2486.1995.tb00027.x.
6. Blackman, F. F. (1905), Optima and limiting factors, Ann. Bot., 19, 281-295.
7. Burnham, K. P., and D. R. Anderson (1998), Model Selection and Inference: A Practical Information-Theoretic Approach, 353 pp., Springer, New York.
8. Campbell, G. S., and J. M. Norman (1998), An Introduction to Environmental Biophysics, 286 pp., Springer-, New York.
9. Cressie, N. A. C. (1993), Statistics for Spatial Data, 900 pp., John Wiley, New York.
10. Curtis, P. S., P. J. Hanson, P. Bolstad, C. Barford, J. C. Randolph, H. P. Schmid, and K. B. Wilson (2002), Biometric and eddy-covariance based estimates of annual carbon storage in five eastern North American deciduous forests, Agric. For. Meteorol., 113, 3-19, doi:10.1016/S0168-1923 (02)00099-100
11. Curtis, P. S., C. S. Vogel, C. M. Gough, H. P. Schmid, H.-B. Su, and B. D. Bovard (2005), Respiratory carbon losses and the carbon-use efficiency of a northern hardwood forest, 1999-2003, New Phytol., 167, 437-456, doi:10.1111/j.1469-8137.2005.01438.x. (Pubitemid 41576982)
12. Davidson, E. A., K. Savage, L. V. Verchot, and R. Navarro (2002), Minimizing artifacts and biases in chamber-based measurements of soil respiration, Agric. For. Meteorol., 113(1-4), 21-37, doi:10.1016/S0168-1923 (02)00100-104
13. Davidson, E. A., I. A. Janssens, and Y. Q. Luo (2006), On the variability of respiration in terrestrial ecosystems: Moving beyond Q(10), Global Change Biol., 12(2), 154-164, doi:10.1111/j.1365-2486.2005.01065.x.
14. Dorrepaal, E. (2007), Are plant growth-form-based classifications useful in predicting northern ecosystem carbon cycling feedbacks to climate change?, J. Ecol., 95(6), 1167-1180, doi:10.1111/j.1365-2745.2007. 01294.x.
15. Faraway, J. (2005) Linear Models with R, CRC Press, Boca Raton, Fla., ISBN:1384884258,9781584884255.
16. Gough, C. M., C. S. Vogel, C. Kazanski, L. Nagel, C. E. Flower, and P. S. Curtis (2007), Coarse woody debris and the carbon balance of a north temperate forest, For. Ecol. Manage., 244, 60-67, doi:10.1016/j.foreco. 2007.03.039.
17. Gough, C. M., C. S. Vogel, H. P. Schmid, and P. S. Curtis (2008), Controls on annual forest carbon storage: Lessons from the past and predictions for the future, BioScience, 58(7), 609-619, doi:10.1641/B580708.
18. 2 fluxes recovered using a geostatistical inverse modeling approach: 2. Results including auxiliary environmental data, J. Geophys. Res., 113, D21115, doi:10.1029/2007JD009733.
19. Hanson, P. J., N. T. Edwards, C. T. Garten, and J. A. Andrews (2000), Separating root and soil microbial contributions to soil respiration: A review of methods and observations, Biogeochemistry, 48(1), 115-146, doi:10.1023/A:1006244819642. (Pubitemid 30065101)
20. Hargrove, W. H., F. Hoffman, and B. E. Law (2003), New analysis reveals representativeness of the AmeriFlux network, Eos Trans. AGU, 84(48), 529-544, doi:10.1029/2003EO480001.
21. Hibbard, K. A., B. E. Law, M. Reichstein, and J. Sulzman (2005), An analysis of soil respiration across northern hemisphere temperate ecosystems, Biogeochemistry, 73(1), 29-70, doi:10.1007/s10533-004-2946-0. (Pubitemid 40885624)
22. Hoeting, J. A., R. A. Davis, A. A. Merton, and S. E. Thompson (2006), Model selection for geostatistical models, Ecol. Appl., 16(1), 87-98, doi:10.1890/04-0576.
23. Huang, H.-C., and C.-S. Chen (2007), Optimal geostatistical model selection, J. Am. Stat. Assoc., 102(479), 1009-1024, doi:10.1198/ 016214507000000491.
24. Hui, D., Y. Luo, and G. Katul (2003), Partitioning interannual variability in net ecosystem exchange between climatic variability and functional change, Tree Physiol., 23(7), 433-442.
25. Janssens, I. A., et al. (2001), Productivity overshadows temperature in determining soil and ecosystem respiration across European forests, Global Change Biol., 7(3), 269-278, doi:10.1046/j.1365-2486.2001. 00412.x.
26. Judd, C. M., and G. H. McClelland (1989), Data Analysis: A Model- Comparison Approach, 635 pp., Harcourt Brace Jovanovich, San Diego, Calif.
27. Kitanidis, P. K. (1997), A variance-ratio test for supporting a variable mean in kriging, Math. Geol., 29(3), 335-348, doi:10.1007/BF02769639.
28. Kitanidis, P. K., and K.-F. Shen (1996), Geostatistical interpolation of chemical concentration, Adv. Water Resour., 19(6), 369-378, doi:10.1016/0309- 1708(96)00016-4.
29. Law, B. E., M. G. Ryan, and P. M. Anthoni (1999), Seasonal and annual respiration of a ponderosa pine ecosystem, Global Change Biol., 5(2), 169-182, doi:10.1046/j.1365-2486.1999.00214.x. (Pubitemid 29311864)
30. Law, B. E., et al. (2002), Environmental controls over carbon dioxide and water vapor exchange of terrestrial vegetation, Agric. For. Meteorol., 113(1-4), 97-120, doi:10.1016/S0168-1923(02)00104-1. (Pubitemid 35293756)
31. Lindroth, A., L. Klemedtsson, A. Grelle, P. Weslien, and O. Langvall (2008), Measurement of net ecosystem exchange, productivity and respiration in three spruce forests in Sweden shows unexpectedly large soil carbon losses, Biogeochemistry, 89(1), 43-60, doi:10.1007/s10533- 007-9137-9138
32. 2 exchange: Vegetation Photosynthesis and Respiration Model (VPRM), Global Biogeochem. Cycles, 22, GB2005, doi:10.1029/2006GB002735.
33. Michalak, A. M., L. Bruhwiler, and P. P. Tans (2004), A geostatistical approach to surface flux estimation of atmospheric trace gases, J. Geophys. Res., 109, D14109, doi:10.1029/2003JD004422. (Pubitemid 39364465)
34. Monteith, J. L. (1966), Photosynthesis and transpiration of crops, Exp. Agric., 2(1), 1-14, doi:10.1017/S0014479700003938.
35. Myneni, R. B., S. Hoffman, Y. Knyazikhin, J. L. Privette, J. Glassy, Y. Tian, Y. Wang, X. Song, Y. Zhang, and G. R. Smith (2002), Global products of vegetation leaf area and fraction absorbed PAR from year one of MODIS data, Remote Sens. Environ., 83(1-2), 214-231, doi:10.1016/S0034-4257 (02)00074-83
36. Oliphant, A., C. Susan, B. Grimmond, H. P. Schmid, and C. A. Wayson (2006), Local-scale heterogeneity of photosynthetically active radiation (PAR), absorbed PAR and net radiation as a function of topography, sky conditions and leaf area index, Remote Sens. Environ., 103(3), 324-337, doi:10.1016/j.rse.2005. 09.021. (Pubitemid 44093664)
37. Reichstein, M., et al. (2003), Modeling temporal and large-scale spatial variability of soil respiration from soil water availability, temperature and vegetation productivity indices, Global Biogeochem. Cycles, 17(4), 1104, doi:10.1029/2003GB002035.
38. Reichstein, M., T. Katterer, O. Andren, P. Ciais, E. D. Schulze, W. Cramer, D. Papel, and R. Valentini (2005), Temperature sensitivity of decomposition in relation to soil organic matter pools: Critique and outlook, Biogeosciences, 2(4), 317-321, doi:10.5194/bg-2-317-2005. (Pubitemid 43088465)
39. Richardson, A., et al. (2006), A multi-site analysis of random error in tower-based measurements of carbon and energy fluxes, Agric. For. Meteorol., 136(1-2), 1-18, doi:10.1016/j.agrformet.2006.01.007.
40. Roden, J. (2003), Modeling the light interception and carbon gain of individual fluttering aspen (Populus tremuloides Michx) leaves, Trees, 17(2), 117-126, doi:10.1007/s00468-002-0213-3.
41. Running, S. W., R. R. Nemani, F. A. Heinsch, M. Zhao, M. Reeves, and H. Hashimoto (2004), A continuous satellite-derived measure of global terrestrial primary production, BioScience, 54, 547-560, doi:10.1641/0006-3568(2004) 054[0547:ACSMOG]2.0.CO;2.
42. Schmid, H. P., H.-B. Su, C. S. Vogel, and P. S. Curtis (2003), Ecosystematmosphere exchange of carbon dioxide over a mixed hardwood forest in northern lower Michigan, J. Geophys. Res., 108(D14), 4417, doi:10.1029/ 2002JD003011.
43. Schwarz, G. (1978), Estimating the dimension of a model, Ann. Stat., 6(2), 461-464, doi:10.1214/aos/1176344136.
44. Sims, D. A., et al. (2006), On the use of MODIS EVI to assess gross primary productivity of North American ecosystems, J. Geophys. Res., 111, G04015, doi:10.1029/2006JG000162. (Pubitemid 47491027)
45. 2 in relation to climate: A cross-biome analysis across multiple time scales, Biogeosciences, 6(10), 2297-2312, doi:10.5194/bg-6-2297-2009.
46. 2 exchange on timescales from hourly to decadal at Harvard Forest, J. Geophys. Res., 112, G02020, doi:10.1029/2006JG000293. (Pubitemid 47351090)
47. Ward, E. J. (2008), A review and comparison of four commonly used Bayesian and maximum likelihood model selection tools, Ecol. Modell., 211(1-2), 1-10, doi:10.1016/j.ecolmodel.2007.10.030.
48. Yadav, V., K. L. Mueller, D. Dragoni, A. M. Michalak (2010), A geostatistical synthesis study of factors affecting gross primary productivity in various ecosystems of North America, Biogeosci. Disc., 7, 1445-1487, doi:10.5194/bgd-7-1445-2010.