Effects of soil freezing and thawing on vegetation carbon density in Siberia: A modeling analysis with the Lund‐Potsdam‐Jena Dynamic Global Vegetation Model (LPJ‐DGVM)

The current latitudinal gradient in biomass suggests a climate‐driven limitation of biomass in high latitudes. Understanding of the underlying processes, and quantification of their relative importance, is required to assess the potential carbon uptake of the biosphere in response to anticipated warming and related changes in tree growth and forest extent in these regions. We analyze the hydrological effects of thawing and freezing of soil on vegetation carbon density (VCD) in permafrost‐dominated regions of Siberia using a process‐based biogeochemistry‐biogeography model, the Lund‐Potsdam‐Jena Dynamic Global Vegetation Model (LPJ‐DGVM). The analysis is based on spatially explicit simulations of coupled daily thaw depth, site hydrology, vegetation distribution, and carbon fluxes influencing VCD subject to climate, soil texture, and atmospheric CO2 concentration. LPJ represents the observed high spring peak of runoff of large Arctic rivers, and simulates a realistic fire return interval of 100 to 200 years in Siberia. The simulated VCD changeover from taiga to tundra is comparable to inventory‐based information. Without the consideration of freeze‐thaw processes VCD would be overestimated by a factor of 2 in southern taiga to a factor of 5 in northern forest tundra, mainly because available soil water would be overestimated with major effects on fire occurrence and net primary productivity. This suggests that forest growth in high latitudes is not only limited by temperature, radiation, and nutrient availability but also by the availability of liquid soil water.

[1]  S. Sitch,et al.  The role of fire disturbance for global vegetation dynamics: coupling fire into a Dynamic Global Vegetation Model , 2008 .

[2]  Wolfgang Lucht,et al.  Small net carbon dioxide uptake by Russian forests during 1981–1999 , 2006 .

[3]  R. Monson,et al.  Winter forest soil respiration controlled by climate and microbial community composition , 2006, Nature.

[4]  W. Wagner,et al.  Hydrologic resilience of the terrestrial biosphere , 2005 .

[5]  F. Chapin,et al.  Role of Land-Surface Changes in Arctic Summer Warming , 2005, Science.

[6]  K. Ranson,et al.  The Spatiotemporal Pattern of Fires in Northern Taiga Larch Forests of Central Siberia , 2005, Russian Journal of Ecology.

[7]  T. D. Mitchell,et al.  An improved method of constructing a database of monthly climate observations and associated high‐resolution grids , 2005 .

[8]  P. Ciais,et al.  Multiple constraints on regional CO2 flux variations over land and oceans , 2005 .

[9]  P. Novelli,et al.  Influences of boreal fire emissions on Northern Hemisphere atmospheric carbon and carbon monoxide , 2005 .

[10]  Fritz H. Schweingruber,et al.  Large‐scale treeline changes recorded in Siberia , 2004 .

[11]  W. Lucht,et al.  Terrestrial vegetation and water balance-hydrological evaluation of a dynamic global vegetation model , 2004 .

[12]  W. Wagner,et al.  Evaluation of the agreement between the first global remotely sensed soil moisture data with model and precipitation data , 2003 .

[13]  J. Townshend,et al.  Global Percent Tree Cover at a Spatial Resolution of 500 Meters: First Results of the MODIS Vegetation Continuous Fields Algorithm , 2003 .

[14]  Christiane Schmullius,et al.  SIBERIA-II: sensor systems and data products for greenhouse gas accounting , 2003, IGARSS 2003. 2003 IEEE International Geoscience and Remote Sensing Symposium. Proceedings (IEEE Cat. No.03CH37477).

[15]  R. Dargaville,et al.  Carbon cycling in extratropical terrestrial ecosystems of the Northern Hemisphere during the 20th century: a modeling analysis of the influences of soil thermal dynamics , 2003 .

[16]  C. Tucker,et al.  Climate-Driven Increases in Global Terrestrial Net Primary Production from 1982 to 1999 , 2003, Science.

[17]  R. Armstrong,et al.  Regional-scale modeling of soil freeze/thaw over the Arctic drainage basin , 2003 .

[18]  C. Körner Carbon limitation in trees , 2003 .

[19]  A. Hofgaard,et al.  Natural causes of the tundra-taiga boundary. , 2002, Ambio.

[20]  J. Christensen,et al.  Impact of global warming on permafrost conditions in a coupled GCM , 2002 .

[21]  Noboru Fujita,et al.  Importance of permafrost as a source of water for plants in east Siberian taiga , 2002, Ecological Research.

[22]  I. C. Prentice,et al.  Climatic Control of the High-Latitude Vegetation Greening Trend and Pinatubo Effect , 2002, Science.

[23]  J. Boike,et al.  Quantifying the thermal dynamics of a permafrost site near Ny‐Ålesund, Svalbard , 2001 .

[24]  F. Woodward,et al.  Global response of terrestrial ecosystem structure and function to CO2 and climate change: results from six dynamic global vegetation models , 2001 .

[25]  S. Nilsson,et al.  Aggregated Estimation of Basic Parameters of Biological Production and the Carbon Budget of Russian Terrestrial Ecosystems: 2. Net Primary Production , 2001, Russian Journal of Ecology.

[26]  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 .

[27]  J. Christensen,et al.  High-resolution regional climate model validation and permafrost simulation for the East European Russian Arctic , 2000 .

[28]  R. Betts Offset of the potential carbon sink from boreal forestation by decreases in surface albedo , 2000, Nature.

[29]  S. Nilsson,et al.  Aggregated Estimation of the Basic Parameters of Biological Production and the Carbon Budget of Russian Terrestrial Ecosystems: 1. Stocks of Plant Organic Mass , 2000, Russian Journal of Ecology.

[30]  W. Oechel,et al.  Observational Evidence of Recent Change in the Northern High-Latitude Environment , 2000 .

[31]  Corinna Rebmann,et al.  Productivity of forests in the Eurosiberian boreal region and their potential to act as a carbon sink –‐ a synthesis , 1999 .

[32]  Nicolo E. DiGirolamo,et al.  A biophysical process-based estimate of global land surface evaporation using satellite and ancillary data. I. Model description and comparison with observations , 1998 .

[33]  W. L. Darnell,et al.  A biophysical process-based estimate of global land surface evaporation using satellite and ancillary data II. Regional and global patterns of seasonal and annual variations , 1998 .

[34]  F. H. Schweingruber,et al.  Reduced sensitivity of recent tree-growth to temperature at high northern latitudes , 1998, Nature.

[35]  Harden,et al.  Sensitivity of boreal forest carbon balance to soil thaw , 1998, Science.

[36]  P. Reich,et al.  From tropics to tundra: global convergence in plant functioning. , 1997, Proceedings of the National Academy of Sciences of the United States of America.

[37]  Kenneth M. Hinkel,et al.  Estimating active-layer thickness over a large region: Kuparuk River Basin, Alaska, U.S.A , 1997 .

[38]  O. Anisimov,et al.  PERMAFROST ZONATION AND CLIMATE CHANGE IN THE NORTHERN HEMISPHERE: RESULTS FROM TRANSIENT GENERAL CIRCULATION MODELS , 1997 .

[39]  I. Prentice,et al.  A general model for the light-use efficiency of primary production , 1996 .

[40]  James F. Reynolds,et al.  Arctic ecosystems in a changing climate : an ecophysiological perspective , 1993 .

[41]  S. Zimov,et al.  Winter biotic activity and production of CO2 in Siberian soils : a factor in the greenhouse effect , 1993 .

[42]  Walter C. Oechel,et al.  Recent change of Arctic tundra ecosystems from a net carbon dioxide sink to a source , 1993, Nature.

[43]  Douglas L. Kane,et al.  Hydrologic and thermal properties of the active layer in the Alaskan Arctic , 1991 .

[44]  G. Bonan Environmental factors and ecological processes controlling vegetation patterns in boreal forests , 1989, Landscape Ecology.

[45]  Samuel I. Outcalt,et al.  A Computational Method for Prediction and Regionalization of Permafrost , 1987 .

[46]  Henry L. Gholz,et al.  Environmental Limits on Aboveground Net Primary Production, Leaf Area, and Biomass in Vegetation Zones of the Pacific Northwest , 1982 .

[47]  Jane M. Soons,et al.  GEOCRYOLOGY, A SURVEY OF PERIGLACIAL PROCESSES AND ENVIRONMENTS , 1981 .

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

[49]  L. C. Bliss,et al.  Reproductive Ecology of Picea Mariana (Mill.) BSP., at Tree Line Near Inuvik, Northwest Territories, Canada , 1980 .

[50]  S. Running,et al.  Leaf Area of Mature Northwestern Coniferous Forests: Relation to Site Water Balance , 1977 .

[51]  P. P. Overduin The physical dynamics of patterned ground in the northern foothills of the Brooks Range, Alaska , 2005 .

[52]  S. Nilsson,et al.  Attempting a verified regional terrestrial biota full carbon account: Experiences from Central Siberia , 2005 .

[53]  B. Choudhury,et al.  A BIOPHYSICAL PROCESS-BASED ESTIMATE OF GLOBAL LAND SURFACE EVAPORATION USING SATELLITE AND ANCILLARY DATA , 2000 .

[54]  E. S. Melnikov,et al.  Circum-Arctic map of permafrost and ground-ice conditions , 1997 .

[55]  G. Korovin Analysis of the Distribution of Forest Fires in Russia , 1996 .

[56]  Maurizio Mencuccini,et al.  Climate influences the leaf area/sapwood area ratio in Scots pine. , 1995, Tree physiology.

[57]  F. Woodward Ecophysiological Controls of Conifer Distributions , 1995 .

[58]  L. Hinzman,et al.  3 – Arctic Hydrology and Climate Change , 1992 .

[59]  Herman H. Shugart,et al.  Environmental Factors and Ecological Processes in Boreal Forests , 1989 .

[60]  R. Teskey,et al.  Dry Weight Partitioning and Its Relationship to Productivity in Loblolly Pine Seedlings From Seven Sources , 1987, Forest Science.

[61]  A. L. Washburn,et al.  Geocryology: A survey of periglacial processes and environments , 1979 .

[62]  G. Campbell,et al.  An Introduction to Environmental Biophysics , 1977 .

[63]  W. S. Benninghoff Interaction of Vegetation and Soil Frost Phenomena , 1952 .

[64]  S S I T C H,et al.  Evaluation of Ecosystem Dynamics, Plant Geography and Terrestrial Carbon Cycling in the Lpj Dynamic Global Vegetation Model , 2022 .