Responses of terrestrial ecosystems and carbon budgets to current and future environmental variability

Proceedings of the National Academy of Sciences of the United States of America

Volumn 107, Issue 18, 2010, Pages 8275-8280

  Medvigy, David ^a   Wofsy, Steven C ^b   Munger, J William ^b   Moorcroft, Paul R ^a  

^a HARVARD UNIVERSITY   (United States)

^b HARVARD UNIVERSITY   (United States)

Author keywords

Carbon fluxes; Climate variability; Climate ecosystem models; Harvard forest; Terrestrial biosphere

Indexed keywords

CARBON;

ARTICLE; CARBON STORAGE; CONIFER; ECOSYSTEM; METEOROLOGY; PRECIPITATION; PRIORITY JOURNAL; SUNLIGHT; TEMPERATURE; TREE;

CARBON; CLIMATE CHANGE; ECOSYSTEM; RAIN; SUNLIGHT; TEMPERATURE; TIME FACTORS;

CONIFEROPHYTA;

EID: 77952391849     PISSN: 00278424     EISSN: 10916490     Source Type: Journal    
DOI: 10.1073/pnas.0912032107     Document Type: Article

References (45)

1. Meehl GA, et al. (2007) Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change, Global Climate Projections. Climate Change 2007: The Physical Science Basis, eds Solomon S, et al. (Cambridge Univ Press, Cambridge, UK), pp 747-845.
2. Cox PM, Betts RA, Jones CD, Spall SA, Totterdell IJ (2000) Acceleration of global warming due to carbon-cycle feedbacks in a coupled climate model. Nature 408:184-187.
3. Melillo JM, et al. (2002) Soil warming and carbon-cycle feedbacks to the climate system. Science 298:2173-2176.
4. 2, temperature, precipitation, and ozone on carbon and water cycles of an upland-oak forest: Incorporating experimental results into model simulations. Glob Change Biol 11:1402-1423.
5. Smith TM, Reynolds RW (2005) A global merged land-air-sea surface temperature reconstruction based on historical observations (1880-1997). J Clim 18:2021-2036.
6. Vose RS, Wuertz D, Peterson TC, Jones PD (2005) An intercomparison of trends in surface air temperature analyses at the global, hemispheric, and grid-box scale. Geophys Res Lett 32:L18718. (Pubitemid 41582602)
7. Easterling DR, et al. (2000) Climate extremes: Observations, modeling, impacts. Science 289:2068-2074.
8. Wettstein JJ, Mearns LO (2002) The influence of the North Atlantic-Arctic Oscillation on the mean, variance, and extremes of temperature in the northeastern United States and Canada. J Clim 15:3586-3600.
9. Goswami BN, Venugopal V, Sengupta D, Madhusoodanan MS, Xavier PK (2006) Increasing trend of extreme rain events over India in a warming environment. Science 314:1442-1445. (Pubitemid 44871948)
10. Schar C, et al. (2004) The role of increasing temperature variability in European summer heatwaves. Nature 427:332-336. (Pubitemid 38133656)
11. Marani M, Grossi G, Wallace M, Napolitano F, Entekhabi D (1997) Forcing, intermittency, and land surface hydrological partitioning. Water Resour Res 33:167-175. (Pubitemid 27030711)
12. Margulis SA, Entekhabi D (2001) Temporal disaggregation of satellite-derived monthly precipitation estimates and the resulting propagation of error in partitioning of water at the land surface. Hydrol Earth Syst Sci 5:27-38.
13. Ruel JJ, Ayres MP (1999) Jensen's inequality predicts effects of environmental variation. Trends Ecol Evol 14:361-366.
14. McGuire AD, et al. (2001) Carbon balance of the terrestrial biosphere in the twentieth century: Analyses of CO2, climate and land use effects with four process-based ecosystem models. Global Biogeochem Cycles 15:183-206.
15. Cao M, et al. (2003) Response of terrestrial carbon uptake to climate interannual variability in China. Glob Change Biol 9:536-546. (Pubitemid 36536969)
16. Tian H, et al. (1998) Effect of interannual climate variability on carbon storage in Amazonian ecosystems. Nature 396:664-667. (Pubitemid 29003942)
17. 2 fertilization, and climate variability to the eastern US carbon sink. Glob Change Biol 12:2370-2390.
18. Nemani RR, et al. (2000) Climate-driven increases in global terrestrial net primary production from 1982 to 1999. Science 300:1560-1563.
19. Berthelot M, Friedlingstein P, Ciais P, Dufresne J-L, Monfray P (2005) How uncertainties in future climate change predictions translate into future terrestrial carbon fluxes. Glob Change Biol 11:959-970. (Pubitemid 40865259)
20. Ito A (2005) Climate-related uncertainties in projections of the twenty-first century terrestrial carbon budget: Off-line model experiments using IPCC greenhouse-gas scenarios and AOGCM climate projections. Clim Dyn 24:435-448.
21. Gu L, et al. (2003) Response of a deciduous forest to the Mount Pinatubo eruption: Enhanced photosynthesis. Science 299:2035-2038. (Pubitemid 36383725)
22. Lee X, Wu H-J, Sigler J, Oishi C, Siccama T (2004) Rapid and transient response of soil respiration to rain. Glob Change Biol 10:1017-1026. (Pubitemid 38783802)
23. Ensminger I, et al. (2004) Intermittent low temperatures constrain spring recovery of photosynthesis in boreal Scots pine forests. Glob Change Biol 10:995-1008. (Pubitemid 38783800)
24. Medvigy DM (2006) The state of the regional carbon cycle: Results from a coupled constrained ecosystem-atmosphere model. PhD thesis (Harvard University).
25. Medvigy D, Wofsy SC, Munger JW, Moorcroft PR (2009) Mechanistic scaling of ecosystem function and dynamics in space and time: Ecosystem Demography model version 2. J Geophys Res 114:G01002.
26. Sinclair TR, Murphy CE, Knoerr KR (1976) Development and evaluation of simplified models for simulating canopy photosynthesis and transpiration. J Appl Ecol 13:813-829.
27. Leuning R, Kelliher FM, de Pury DGG, Schulze E-D (1995) Leaf nitrogen, photosynthesis, conductance and transpiration: Scaling from leaves to canopies. Plant Cell Environ 18:1183-1200.
28. Uppala SM, et al. (2005) The ERA-40 re-analysis. Q J R Meteorol Soc 131:2961-3012.
29. Kalnay E, et al. (1996) The NCEP/NCAR 40-year reanalysis project. Bull Am Met Soc 77:437-471.
30. Delworth TL, Knutson TR (2000) Simulation of early 20th century global warming. Science 287:2246-2250.
31. Schmidt GA, et al. (2006) Present day atmospheric simulations using GISS ModelE: Comparison to in-situ, satellite and reanalysis data. J Clim 19:153-192. (Pubitemid 43329347)
32. Salas-Mélia D, et al. (2005) Description and Validation of the CNRM-CM3 Global Coupled Model (CNRM, Toulouse), Note de Centre du CNRM No 103.
33. Zhang Y, Rossow WB, Lacis AA, Oinas V, Mishchenko MI (2004) Calculation of radiative fluxes from the surface to top of the atmosphere based on ISCCP and other global data sets: Refinements of the radiative transfer model and the input data. J Geophys Res 109:D19105. (Pubitemid 40005275)
34. Pitman AJ, Henderson-Sellers A, Yang ZL (1990) Sensitivity of regional climates to localised precipitation in global models. Nature 364:734-747.
35. Wang D, Wang G, Anagnostou EN (2009) Impact of sub-grid variability of precipitation and canopy water storage on hydrological processes in a coupled land-atmosphere model. Clim Dyn 32:649-662.
36. Rödenbeck C, Houweling S, Gloor M, Heimann M (2003) CO2 flux history 1982-2001 inferred from atmospheric data using a global inversion of atmospheric transport. Atmos Chem Phys 3:1919-1964.
37. Baker DF, et al. (2006) TransCom 3 inversion intercomparison: Impact of transport model errors on the interannual variability of regional CO2 fluxes. Global Biogeochem Cycles 20:GB1002.
38. 2 flux variations over land and oceans. Global Biogeochem Cycles 19:GB1011.
39. Kaminski T, Knorr W, Rayner PJ, Heimann M (2002) Assimilating atmospheric data into a terrestrial biosphere model: A case study of the seasonal cycle. Global Biogeochem Cycles 16:1066.
40. Scholze M, Kaminski T, Rayner P, Knorr W, Giering R (2007) Propagating uncertainty through prognostic carbon cycle data assimilation system simulations. J Geophys Res 112:D17305.
41. 2 due to seasonal exchange with land biota. Nature 376:240-243.
42. Dupigny-Giroux L-A, Blackwell CF, Bristow S, Olson GM (2003) Vegetation response to ice disturbance and consecutive moisture extremes. Int J Remote Sens 24:2105-2129.
43. Frayer WE, Furnival GM (1999) Forest survey sampling designs: A history. J For 97:4-10.
44. Penner M, Power K, Muhairwe C, Tellier R, Wang Y (1997) Canada's Forest Biomass Resources: Deriving Estimates from Canada's Forest Inventory (Canadian Forest Service, Victoria, BC), Information Report No BC-X-370.
45. Zhang X, Friedl MA, Schaaf CB (2006) Global vegetation phenology from moderate resolution imaging spectroradiometer (MODIS): Evaluation of global patterns and comparison with in situ measurements. J Geophys Res 111:G04017.