Modeling and measuring the effects of disturbance history and climate on carbon and water budgets in evergreen needleleaf forests

The effects of disturbance history, climate, and changes in atmospheric carbon dioxide (CO2) concentration and nitrogen deposition (Ndep) on carbon and water fluxes in seven North American evergreen forests are assessed using a coupled water–carbon–nitrogen model, canopy-scale flux observations, and descriptions of the vegetation type, management practices, and disturbance histories at each site. The effects of interannual climate variability, disturbance history, and vegetation ecophysiology on carbon and water fluxes and storage are integrated by the ecosystem process model Biome-BGC, with results compared to site biometric analyses and eddy covariance observations aggregated by month and year. Model results suggest that variation between sites in net ecosystem carbon exchange (NEE) is largely a function of disturbance history, with important secondary effects from site climate, vegetation ecophysiology, and changing atmospheric CO2 and Ndep. The timing and magnitude of fluxes following disturbance depend on disturbance type and intensity, and on post-harvest management treatments such as burning, fertilization and replanting. The modeled effects of increasing atmospheric CO 2 on NEE are generally limited by N availability, but are greatly increased following disturbance due to increased N mineralization and reduced plant N demand. Modeled rates of carbon sequestration over the past 200 years are driven by the rate of change in CO2 concentration for old sites experiencing low rates of N dep. The model produced good estimates of between-site variation in leaf area index, with mixed performance for between- and within-site variation in evapotranspiration. There is a model bias

[1]  Ian G. Enting,et al.  Future emissions and concentrations of carbon dioxide: Key ocean / atmosphere / land analyses , 1994 .

[2]  Carbon storage and fluxes in ponderosa pine forests at different developmental stages , 2001 .

[3]  Peter E. Thornton,et al.  Simultaneous estimation of daily solar radiation and humidity from observed temperature and precipitation: an application over complex terrain in Austria. , 2000 .

[4]  P. Stenberg Correcting LAI-2000 estimates for the clumping of needles in shoots of conifers , 1996 .

[5]  Peter E. Thornton,et al.  Generating surfaces of daily meteorological variables over large regions of complex terrain , 1997 .

[6]  S. Running,et al.  An improved algorithm for estimating incident daily solar radiation from measurements of temperature, humidity, and precipitation , 1999 .

[7]  M. Harmon,et al.  Successional changes in live and dead wood carbon stores: implications for net ecosystem productivity. , 2002, Tree physiology.

[8]  I. E. Woodrow,et al.  Enzymatic Regulation of Photosynthetic CO2, Fixation in C3 Plants , 1988 .

[9]  A. McGuire,et al.  Interactions between carbon and nitrogen dynamics in estimating net primary productivity for potential vegetation in North America , 1992 .

[10]  W. Parton,et al.  Contribution of Increasing CO, and Climate to Carbon , 2004 .

[11]  Paul J. Curran,et al.  Dynamics of Canopy Structure and Light Interception in Pinus Elliottii Stands, North Florida , 1991 .

[12]  Stan D. Wullschleger,et al.  Tree responses to rising CO2 in field experiments: implications for the future forest , 1999 .

[13]  Kyaw Tha Paw U,et al.  Carbon Dioxide Exchange Between an Old-growth Forest and the Atmosphere , 2004, Ecosystems.

[14]  J. Moncrieff,et al.  ENVIRONMENTAL CONTROLS OVER NET EXCHANGES OF CARBON DIOXIDE FROM CONTRASTING FLORIDA ECOSYSTEMS , 1999 .

[15]  T. A. DeBiase,et al.  Ecosystem respiration in a young ponderosa pine plantation in the Sierra Nevada Mountains, California. , 2001, Tree physiology.

[16]  J. Berry,et al.  A biochemical model of photosynthetic CO2 assimilation in leaves of C3 species , 1980, Planta.

[17]  W. Cropper,et al.  Litterfall, Decomposition, and Nitrogen and Phosphorus Dynamics in a Chronosequence of Slash Pine (Pinus elliottii) Plantations , 1985 .

[18]  Eric A. Davidson,et al.  Seasonal patterns and environmental control of carbon dioxide and water vapour exchange in an ecotonal boreal forest , 1999 .

[19]  R. Fisher,et al.  ORGANIC MATTER PRODUCTION AND DISTRIBUTION IN SLASH PINE (PINUS ELLIOTTII) PLANTATIONS , 1982 .

[20]  D. Baldocchi,et al.  Estimation of leaf area index in open-canopy ponderosa pine forests at different successional stages and management regimes in Oregon , 2001 .

[21]  W. Oechel,et al.  Seasonality of ecosystem respiration and gross primary production as derived from FLUXNET measurements , 2001 .

[22]  S. Running,et al.  A general model of forest ecosystem processes for regional applications I. Hydrologic balance, canopy gas exchange and primary production processes , 1988 .

[23]  S. T. Gower,et al.  A comparison of optical and direct methods for estimating foliage surface area index in forests , 1994 .

[24]  Peter E. Thornton,et al.  Regional ecosystem simulation: Combining surface- and satellite-based observations to study linkages between terrestrial energy and mass budgets , 1998 .

[25]  D. Randall,et al.  Latitudinal gradient of atmospheric CO2 due to seasonal exchange with land biota , 1995, Nature.

[26]  W. Oechel,et al.  Environmental controls over carbon dioxide and water vapor exchange of terrestrial vegetation , 2002 .

[27]  Peter E. Thornton,et al.  Parameterization and Sensitivity Analysis of the BIOME–BGC Terrestrial Ecosystem Model: Net Primary Production Controls , 2000 .

[28]  Michael T. Coe,et al.  Testing the performance of a dynamic global ecosystem model: Water balance, carbon balance, and vegetation structure , 2000 .

[29]  I. C. Prentice,et al.  Carbon balance of the terrestrial biosphere in the Twentieth Century: Analyses of CO2, climate and land use effects with four process‐based ecosystem models , 2001 .

[30]  Christian Wirth,et al.  Managing Forests After Kyoto , 2000, Science.

[31]  D. Baldocchi,et al.  Leaf area distribution and radiative transfer in open-canopy forests: implications for mass and energy exchange. , 2001, Tree physiology.

[32]  D. Pury,et al.  Simple scaling of photosynthesis from leaves to canopies without the errors of big‐leaf models , 1997 .

[33]  S. Garman,et al.  MODELING HISTORICAL PATTERNS OF TREE UTILIZATION IN THE PACIFIC NORTHWEST: CARBON SEQUESTRATION IMPLICATIONS' , 1996 .

[34]  S. Running,et al.  A continental phenology model for monitoring vegetation responses to interannual climatic variability , 1997 .

[35]  S. Running,et al.  Contribution of increasing CO2 and climate to carbon storage by ecosystems in the United States. , 2000, Science.

[36]  D. Baldocchi,et al.  Below-canopy and soil CO2 fluxes in a ponderosa pine forest , 1999 .

[37]  G. Watts,et al.  Climate Change 1995 , 1998 .

[38]  J. Townshend,et al.  Global land cover classi(cid:142) cation at 1 km spatial resolution using a classi(cid:142) cation tree approach , 2004 .

[39]  Peter E. Thornton,et al.  Simulating forest productivity and surface-atmosphere carbon exchange in the BOREAS study region. , 1997, Tree physiology.