Simulating seasonal and inter-annual variations in energy and carbon exchanges and forest dynamics using a process-based atmosphere-vegetation dynamics model

Ecological Research

Volumn 26, Issue 1, 2011, Pages 105-121

  Toda, Motomu ^a   Takata, Kumiko ^b   Nishimura, Naoyuki ^c   Yamada, Masahito ^a   Miki, Naoko ^d   Nakai, Taro ^e   Kodama, Yuji ^a   Uemura, Shigeru ^a   Watanabe, Tsutomu ^a   Sumida, Akihiro ^a   Hara, Toshihiko ^a,f  

^a HOKKAIDO UNIVERSITY   (Japan)

^b JAPAN AGENCY FOR MARINE EARTH SCIENCE AND TECHNOLOGY   (Japan)

^c GUNMA UNIVERSITY   (Japan)

^d OKAYAMA UNIVERSITY   (Japan)

^e UNIVERSITY OF ALASKA FAIRBANKS   (United States)

^f JAPAN AGENCY FOR MARINE EARTH SCIENCE AND TECHNOLOGY   (Japan)

Author keywords

Annual evapotranspiration; Annual NEE; Sub boreal forest stand; Tree size structure dynamics

Indexed keywords

ANNUAL VARIATION; ATMOSPHERE-BIOSPHERE INTERACTION; CARBON DIOXIDE; CARBON FLUX; DECIDUOUS FOREST; ECOPHYSIOLOGY; ECOSYSTEM MODELING; EDDY COVARIANCE; ENERGY FLUX; EVAPOTRANSPIRATION; FOREST DYNAMICS; MICROMETEOROLOGY; NET ECOSYSTEM EXCHANGE; PHYTOMASS; SEASONAL VARIATION; SPECIES INVENTORY; SURFACE ENERGY;

JAPAN;

EID: 78751578943     PISSN: 09123814     EISSN: 14401703     Source Type: Journal    
DOI: 10.1007/s11284-010-0763-6     Document Type: Article

References (66)

1. 2 balance of a subarctic fen in northern Europe: importance of the wintertime efflux. J Geophys Res 107. doi: 10. 1029/2002JD002055.
2. 2 balance in a subarctic fen. Geophys Res Lett 31. doi: 10. 1029/2004GL023015.
3. Baldocchi D, Valentini R, Running S, Oechel W, Dahlman R (1996) Strategies for measuring and modelling carbon dioxide and water vapour fluxes over terrestrial ecosystems. Glob Change Biol 2: 159-168.
4. Battaglia M, Cherry ML, Beadle CL, Sands PJ, Hingston A (1998) Prediction of leaf area index in eucalypt plantation: effects of water stress and temperature. Tree Physiol 18: 521-528.
5. Bazzaz F, Harper J (1976) Relationship between plant weight and numbers in mixed populations of Sinapsis alba (L.) rabenh. and Lepidium sativum L. J Appl Ecol 13: 211-216.
6. Begon M, Harper JL, Townsend CR (1996) Ecology: individuals, populations and communities. Blackwell, London.
7. Betts AK, Ball JH, McCaughey JH (2001) Near-surface climate in the boreal forest. J Geophys Res 106: 33529-33541.
8. Black TA, Chen WJ, Barr AG, Arain MA, Chen Z et al (2000) Increased carbon sequestration by a boreal deciduous forest in years with a warm spring. Geophys Res Lett 27: 1271-1274.
9. Bonan G (2008) Ecological climatology: concepts and applications. Cambridge University Press, Cambridge.
10. Brutsaert W (1992) Stability correction functions in the mean wind speed and temperature in the unstable surface layer. Geophys Res Lett 19: 469-472.
11. Chapin FS, Mcguire AD, Randerson J, Pielke SJ, Baldocchi D et al (2000) Arctic and boreal ecosystems of western North America as components of the climate system. Glob Chang Biol 6: 211-223.
12. Chuine I, Kramer K, Hänninen H (2003) Plant development models. In: Schwartz MD (ed) Phenology: an integrative environmental science. Kluwer, Dordrecht.
13. Clapp RB, Hornberger GM (1978) Empirical equations for some soil hydraulic properties. Water Resour Res 14: 601-604.
14. Cox PM (2001) Description of the 'TRIFFID' dynamics global vegetation model. Hadley Centre Technical Notes, note 24.
15. 2 and climate change: results from six dynamics global vegetation models. Glob Chang Biol 7: 357-373.
16. 4MIP Model intercomparison. J Clim 19: 3337-3353.
17. 2 fluxes with an interactive vegetation land surface model-evaluation at high and middle latitudes. Agric For Meteorol 148: 1611-1628.
18. Goulden ML, Munger JW, Fan SM, Daube BC, Wofsy SC (1996) Measurements of carbon sequestration by long-term eddy covariance: methods and a critical evaluation of accuracy. Glob Chang Biol 2: 169-182.
19. Goulden ML, Daube BC, Fan SM, Sutton DJ (1998) Physiological responses of a black spruce forest to weather. J Geophys Res 102(D24): 28987-28996.
20. 2 and water vapour exchange rates over a temperate deciduous forest. Glob Change Biol 2: 183-197.
21. Häkkinen R, Linkosalo T, Hari P (1988) Effects of dormancy and environmental factors on timing of bud burst in Betula pendula. Tree Physiol 18: 707-712.
22. Hara T (1984) A stochastic model and the moment dynamics of the growth and size distribution in plant populations. J Theor Biol 109: 173-190.
23. Hara T, Watanabe T, Yokozawa M (2001) A multi-layered integrated numerical model of surface-physics-growing plants interaction, MINoSGI. In: Matsuno T, Kida H (eds) Present and future of modeling global environment change: toward integrated modeling. Terrapub, Tokyo, pp 173-185.
24. Harper J (1977) Population biology of plants. Academic Press, London.
25. Hirata R, Saigusa N, Yamamoto S, Ohtani Y, Ide R et al (2008) Spatial distribution of carbon balance in forest ecosystems across East Asia. Agric For Meteorol 148: 761-775.
26. Kondo J, Watanabe T (1992) Studies on the bulk transfer coefficients over a vegetated surface with a multilayer energy budget model. J Meteorol Soc Jpn 49: 2183-2199.
27. Krinner G, Viovy N, de Noblet-Ducoudré N, Ogée J, Polcher J et al (2005) A dynamic global vegetation model for studies of the coupled atmosphere-biosphere system. Global Biogeochem Cycles 19. doi: 10. 1029/2003GB002199.
28. Lindner M, Sievnen R, Pretzsch H (1997) Improving the simulation of stand structure in a forest gap model. For Ecol Man 95: 183-195.
29. McMillen RT (1988) An eddy correlation technique with extended applicability to non-simple terrain. Boundary Layer Meteorol 43: 231-245.
30. Medvigy D, Wofsy SC, Munger JW, Hollinger DY, Moorcroft PR (2009) Mechanistic scaling of ecosystem function and dynamics in space and time: ecosystem demography model version 2. J Geophys Res 114. doi: 10. 1029/2008JG000812.
31. Molotch NP, Blanken PD, Williams MW, Turnipseed AA, Monson RK et al (2007) Estimating sublimation of intercepted and sub-canopy snow using eddy covariance systems. Hydrol Process 21: 1567-1575.
32. Moorcroft PR, Hurtt GC, Pacala SW (2001) A method for scaling vegetation dynamics: the ecosystem demography model (ED). Ecol Monogr 74: 557-586.
33. Moore CJ (1986) Frequency response corrections for eddy correlation systems. Boundary Layer Meteorol 37: 17-35.
34. Nakai Y, Kitamura K, Suzuki S, Abe S (2003) Year-long carbon dioxide exchange above a broadleaf deciduous forest in Sapporo, northern Japan. Tellus 55B: 305-312.
35. Nakai T, van der Molen MK, Gash JHC, Kodama Y (2006) Correction of sonic anemometer angle of attack errors. Agric For Meteorol 136: 19-30.
36. Pacala SW, Canham CD, Saponara J (1996) Forest models defined by field measurements: estimation, error analysis and dynamics. Ecol Monogr 66: 1-43.
37. Pomeroy J, Harding R (2008) Snow and climate. In: Armstrong RL, Brown E (eds) Physical processes, surface energy and modeling. Cambridge University Press, Cambridge.
38. Purves D, Pacala S (2008) Predictive models of forest dynamics. Science 320: 1452-1453.
39. Raich J, Schlesinger W (1992) The global carbon dioxide flux in soil respiration and its relationship to vegetation and climate. Tellus 44B: 81-99.
40. Raich J, Tufekcioglu A (2000) Vegetation and soil respiration: correlations and controls. Biogeochemistry 48: 71-90.
41. Saigusa N (1994) Energy balance over soil surfaces. In: Kondo J (ed) Micrometeorology in water environment. Asakura Shoten, Tokyo (in Japanese).
42. Saigusa N, Yamamoto S, Ohtsuka T, Murayama S, Kondo H, Koizumi H (2005) Inter-annual variability of carbon budget components in a cool-temperate deciduous forest in Japan (Takayama, AsiaFlux). Phyton 45: 81-88.
43. Sarvas R (1972) Investigations on the annual cycle of development of forest trees. Active period. Communicationes Linstinstituti Forestalis Fenniae 76: 1-110.
44. Sarvas R (1974) Investigations on the annual cycle of development of forest trees. Autumn dormancy and winter dormancy. Communicationes Linstinstituti Forestalis Fenniae 84: 1-101.
45. Sato H, Ito A, Kohyma T (2007) SEIB-DGVM: a new Dynamics Global Vegetation Model using a spatially explicit individual-based approach. Ecol Model 200: 279-307.
46. Schotanus P, Nueuwstadt FTM, de Bruin HAR (1983) Temperature measurement with a sonic anemometer and its application to heat and moisture fluctuations. Boundary Layer Meteorol 26: 81-93.
47. Sellers PJ, Los SO, Tucker CJ, Justice CO, Dazlich DA et al (1996) A revised land surface parameterization (SiB2) for atmospheric GCMs. Part II: the generation of global fields of terrestrial biophysical parameters from satellite data. J Clim 9: 706-737.
48. Shinozaki K, Yoda K, Hozumi K, Kira T (1964) A quantitative analysis of plant form--the pipe model theory, basic analyses. Jpn J Ecol 14: 97-105.
49. Sitch S, Smith B, Prentice I, Arneth A, Bondeau A et al (2003) Evaluation of ecosystem dynamics, plant geography and terrestrial carbon cycling in the LPJ dynamic global vegetation model. Glob Chang Biol 9: 161-185.
50. Stoll P, Weiner J, Muller-Landau H, Miller E, Hara T (2002) Size symmetry of competition alters biomass-density relationships. Proc R Soc B Biol Sci 269: 2191-2195.
51. Sugita M, Hiyama T, Endo N, Tian S (1995) Flux determination over a smooth surface under strongly unstable conditions. Boundary Layer Meteorol 73: 145-158.
52. Suzuki K, Nakai Y (2008) Canopy snow influence on water and energy balances in a coniferous forest plantation in northern Japan. J Hydrol 352: 126-138.
53. Takagi K, Nomura M, Ashiya D, Takahashi H, Sasa K et al (2005) Dynamic carbon dioxide exchange through snowpack by wind-driven mass transfer in a conifer-broadleaf mixed forest in northernmost Japan. Global Biogeochem Cycles 19: GB2012. doi: 10. 1029/2004GB002272.
54. Takahashi K, Matsuki S, Uemura S, Hara T (2004) Variations in the maximum photosynthetic rate of Betula ermanii in relation to soil water potential. Veg Sci 21: 103-108.
55. Takata K, Emori S, Watanabe T (2003) Development of the minimal advanced treatments of surface interaction and runoff. Global Planet Change 38: 209-222.
56. Toda M, Sugita M (2003) Single level turbulence measurements to determine roughness parameters of complex terrain. J Geophys Res 108. doi: 10. 1029/2002/HJD002573.
57. Toda M, Yokozawa M, Sumida A, Watanabe T, Hara T (2007) Simulating the carbon balance of a temperate larch forest under various meteorological conditions. Carbon Bal Man 2: 6. doi: 10. 1186/1750-0680-2-6.
58. Toda M, Yokozawa M, Sumida A, Watanabe T, Hara T (2009) Foliage profiles of individual trees determine competition, self-thinning, biomass and NPP of a Cryptomeria japonica forest stand: a simulation study based on a stand-scale process-based model. Ecol Model 220: 2272-2280.
59. Watanabe T, Mizutani K (1996) Model study on micrometeorological aspects of rainfall interception over an evergreen broad-leaved forest. Agric For Meteorol 80: 195-214.
60. Watanabe T, Yokozawa M, Emori S, Takata K, Sumida A et al (2004) Developing a multilayered integrated numerical model of surface physics-growing plants interaction (MINoSGI). Global Change Biol 10: 963-982.
61. 2 fluxes from leaf to canopy using multilayered implementation for natural canopy-environment relations (MINCER). Phyton 45: 353-360.
62. Webb EK, Pearman GI, Leuning R (1980) Corrections of flux measurements for density effects due to heat and water vapor transfer. Q J R Meteorol Soc 106: 85-100.
63. Westoby M (1984) The self-thinning rule. Adv Ecol Res 14: 167-225.
64. Woodward FI, Lomas MR (2004) Vegetation dynamics-simulating responses to climatic change. Biol Rev 79: 643-670.
65. Yamazaki T (1995) The influence of forests on atmospheric heating during the snowmelt season. J Appl Meteorol 34: 511-519.
66. Yoda K, Kira T, Ogawa H, Hozumi K (1963) Self-thinning in overcrowded pure stands under cultivated and natural conditions. J Biol Osaka City Univ 14: 1097-1129.