Modeling seasonal course of carbon fluxes and evapotranspiration in response to low temperature and moisture in a boreal Scots pine ecosystem

Environmental conditions act above and below ground, and regulate carbon fluxes and evapotranspiration. The productivity of boreal forest ecosystems is strongly governed by low temperature and moisture conditions, but the understanding of various feedbacks between vegetation and environmental conditions is still unclear. In order to quantify the seasonal responses of vegetation to environmental factors, the seasonality of carbon and heat fluxes and the corresponding responses for temperature and moisture in air and soil were simulated by merging a process-based model (CoupModel) with detailed measurements representing various components of a forest ecosystem in Hyytiala, southern Finland. The uncertainties in parameters, model assumptions, and measurements were identified by generalized likelihood uncertainty estimation (GLUE). Seasonal and diurnal courses of sensible and latent heat fluxes and net ecosystem exchange (NEE) of CO2 were successfully simulated for two contrasting years. Moreover, systematic increases in efficiency of photosynthesis, water uptake, and decomposition occurred from spring to summer, demonstrating the strong coupling between processes. Evapotranspiration and NEE flux both showed a strong response to soil temperature conditions via different direct and indirect ecosystem mechanisms. The rate of photosynthesis was strongly correlated with the corresponding water uptake response and the light use efficiency. With the present data and model assumptions, it was not possible to precisely distinguish the various regulating ecosystem mechanisms. Our approach proved robust for modeling the seasonal course of carbon fluxes and evapotranspiration by combining different independent measurements. It will be highly interesting to continue using long-term series data and to make additional tests of optional stomatal conductance models in order to improve our understanding of the boreal forest ecosystem in response to climate variability and environmental conditions.

[1]  Ari Nissinen,et al.  Evaluation of six process‐based forest growth models using eddy‐covariance measurements of CO2 and H2O fluxes at six forest sites in Europe , 2002 .

[2]  S. Launiainen Seasonal and inter-annual variability of energy exchange above a boreal Scots pine forest , 2010 .

[3]  A. Lindroth Canopy Conductance of Coniferous Forests Related to Climate , 1985 .

[4]  Tiina Markkanen,et al.  Effect of thinning on surface fluxes in a boreal forest , 2005 .

[5]  P. Hari,et al.  Uncertainties in measurement and modelling of net ecosystem exchange of a forest , 2006 .

[6]  M. Kirschbaum,et al.  The temperature dependence of soil organic matter decomposition, and the effect of global warming on soil organic C storage , 1995 .

[7]  David Gustafsson,et al.  Bayesian calibration of a model describing carbon, water and heat fluxes for a Swedish boreal forest stand. , 2008 .

[8]  Lutz Weihermüller,et al.  Sensitivity of simulated soil heterotrophic respiration to temperature and moisture reduction functions , 2008 .

[9]  Pertti Hari,et al.  Boreal forest and climate change , 2008 .

[10]  A. Mäkelä,et al.  Acclimation of photosynthetic capacity in Scots pine to the annual cycle of temperature. , 2004, Tree physiology.

[11]  Klaus Butterbach-Bahl,et al.  Simulation of NO and N2O emissions from a spruce forest during a freeze/thaw event using an N-flux submodel from the PnET-N-DNDC model integrated to CoupModel , 2008 .

[12]  R. Ceulemans,et al.  Annual Q10 of soil respiration reflects plant phenological patterns as well as temperature sensitivity , 2004 .

[13]  J. Lloyd,et al.  On the temperature dependence of soil respiration , 1994 .

[14]  David Gustafsson,et al.  Modeling Water and Heat Balance of the Boreal Landscape—Comparison of Forest and Arable Land in Scandinavia , 2004 .

[15]  Thomas J. Sauer,et al.  Soil heat storage measurements in energy balance studies , 2007 .

[16]  Keith Beven,et al.  A manifesto for the equifinality thesis , 2006 .

[17]  R. K. Dixon,et al.  Carbon Pools and Flux of Global Forest Ecosystems , 1994, Science.

[18]  J. Grace,et al.  Growth patterns of Pinus sylvestris across Europe: a functional analysis using the HYDRALL model , 2009 .

[19]  P. Högberg,et al.  Partitioning of soil respiration into its autotrophic and heterotrophic components by means of tree-girdling in old boreal spruce forest , 2009 .

[20]  Tiina Markkanen,et al.  Eddy covariance fluxes over a boreal Scots pine forest , 2001 .

[21]  Eero Nikinmaa,et al.  Station for Measuring Ecosystem-Atmosphere Relations: SMEAR , 2013 .

[22]  L. A. Richards Capillary conduction of liquids through porous mediums , 1931 .

[23]  Jianguo Wu,et al.  Temperature sensitivity of soil respiration and its effects on ecosystem carbon budget: nonlinearity begets surprises , 2002 .

[24]  P. Hari,et al.  Gas concentration driven fluxes of nitrous oxide and carbon dioxide in boreal forest soil , 2007 .

[25]  P. Hari,et al.  Long-term field measurements of atmosphere-surface interactions in boreal forest combining forest ecology, micrometeorology, aerosol physics and atmospheric chemistry , 1998 .

[26]  J. Uriel Annual Q 10 of soil respiration reflects plant phenological patterns as well as temperature sensitivity , 2004 .

[27]  Per-Erik Jansson,et al.  Model for evaporation, moisture and temperature of bare soil: calibration and sensitivity analysis , 1997 .

[28]  P. Hari,et al.  Evaluation of the importance of acclimation of needle structure, photosynthesis, and respiration to available photosynthetically active radiation in a Scots pine canopy , 2001 .

[29]  Hartmut Bossel,et al.  treedyn3 forest simulation model , 1996 .

[30]  Ron Smith,et al.  Bayesian calibration of process-based forest models: bridging the gap between models and data. , 2005, Tree physiology.

[31]  A. Mäkelä,et al.  Field evidence for the optimality hypothesis of gas exchange in plants , 1999 .

[32]  P. Mellander,et al.  Recovery of photosynthetic capacity in Scots pine: a model analysis of forest plots with contrasting soil temperature , 2007, European Journal of Forest Research.

[33]  P. Hari,et al.  Respiration in Boreal Forest Soil as Determined from Carbon Dioxide Concentration Profile , 2008 .

[34]  Koen Kramer,et al.  Phenology and growth of European trees in relation to climate change , 1996 .

[35]  Sune Linder,et al.  Climatic factors controlling the productivity of Norway spruce : A model-based analysis , 1998 .

[36]  Ü. Rannik,et al.  Estimates of the annual net carbon and water exchange of forests: the EUROFLUX methodology , 2000 .

[37]  S. Linder,et al.  Effects of soil warming during spring on photosynthetic recovery in boreal Norway spruce stands , 1999 .

[38]  Lars Eklundh,et al.  Net primary production and light use efficiency in a mixed coniferous forest in Sweden , 2005 .

[39]  Eero Nikinmaa,et al.  Long-term measurements of the carbon balance of a boreal Scots pine dominated forest ecosystem , 2009 .

[40]  Heikki Hänninen,et al.  Relationship between temperature and the seasonal course of photosynthesis in Scots pine at northern timberline and in southern boreal zone , 2007 .

[41]  T. Dawson,et al.  Seasonal air and soil temperature effects on photosynthesis in red spruce (Picea rubens) saplings. , 1997, Tree physiology.

[42]  Per-Erik Jansson,et al.  Modelling soil C sequestration in spruce forest ecosystems along a Swedish transect based on current conditions , 2008 .

[43]  Per-Erik Jansson,et al.  A coupled model of water, heat and mass transfer using object orientation to improve flexibility and functionality , 2001, Environ. Model. Softw..

[44]  Ben Bond-Lamberty,et al.  Temperature-associated increases in the global soil respiration record , 2010, Nature.

[45]  D. Gustafsson,et al.  Modelling the effect of low soil temperatures on transpiration by Scots pine , 2006 .

[46]  Eero Nikinmaa,et al.  CO2 exchange and component CO2 fluxes of a boreal Scots pine forest , 2009 .

[47]  Per-Erik Jansson,et al.  Theory and practice of coupled heat and mass transfer model for soil-plant-atmosphere system , 2009 .

[48]  Jim W. Hall,et al.  Handling uncertainty in extreme or unrepeatable hydrological processes: the need for an alternative paradigm , 2002 .

[49]  S. Sorooshian,et al.  A Shuffled Complex Evolution Metropolis algorithm for optimization and uncertainty assessment of hydrologic model parameters , 2002 .

[50]  J Olley,et al.  Relationship between temperature and growth rate of bacterial cultures , 1982, Journal of bacteriology.

[51]  Tiina Markkanen,et al.  Air temperature triggers the recovery of evergreen boreal forest photosynthesis in spring , 2003 .