Data-driven diagnostics of terrestrial carbon dynamics over North America

The exchange of carbon dioxide is a key measure of ecosystem metabolism and a critical intersection between the terrestrial biosphere and the Earth's climate. Despite the general agreement that the terrestrial ecosystems in North America provide a sizeable carbon sink, the size and distribution of the sink remain uncertain. We use a data-driven approach to upscale eddy covariance flux observations from towers to the continental scale by integrating flux observations, meteorology, stand age, aboveground biomass, and a proxy for canopy nitrogen concentrations from AmeriFlux and Fluxnet-Canada Research Network as well as a variety of satellite data streams from the MODIS sensors. We then use the resulting gridded flux estimates from March 2000 to December 2012 to assess the magnitude, distribution, and interannual variability of carbon fluxes for the U.S. and Canada. The mean annual gross primary productivity (GPP), ecosystem respiration (ER), and net ecosystem productivity (NEP) of the U.S. over the period 2001-2012 were 6.84, 5.31, and 1.10 Pg C yr-1, respectively; the meanannual GPP, ER, and NEP of Canada over the same 12-year period were 3.91, 3.26, and 0.60 Pg C yr-1,respectively. The mean nationwide annual NEP of natural ecosystems over the period 2001-2012 was0.53 Pg C yr-1for the U.S. and 0.49 Pg C yr-1 for the conterminous U.S. Our estimate of the carbon sink for the conterminous U.S. was almost identical with the estimate of the First State of the Carbon Cycle Report (SOCCR). The carbon fluxes exhibited relatively large interannual variability over the study period. The main sources of the interannual variability in carbon fluxes included drought and disturbance. The annual GPP and NEP were strongly related to annual evapotranspiration (ET) for both the U.S. and Canada, showing that the carbon and water cycles were closely coupled. Our gridded flux estimates provided an independent, alternative perspective on ecosystem carbon exchange over NorthAmerica.

[1]  M. D. Nelson,et al.  Mapping U.S. forest biomass using nationwide forest inventory data and moderate resolution information , 2008 .

[2]  R. Snaydon The Productivity of C 3 and C 4 Plants: A Reassessment , 1991 .

[3]  Philippe Ciais,et al.  Evaluation of continental carbon cycle simulations with North American flux tower observations , 2013 .

[4]  Josef Cihlar,et al.  Annual carbon balance of Canada's forests during 1895–1996 , 2000 .

[5]  A. Bondeau,et al.  Towards global empirical upscaling of FLUXNET eddy covariance observations: validation of a model tree ensemble approach using a biosphere model , 2009 .

[6]  Zhao-Liang Li,et al.  Validation of the land-surface temperature products retrieved from Terra Moderate Resolution Imaging Spectroradiometer data , 2002 .

[7]  S. Long,et al.  What have we learned from 15 years of free-air CO2 enrichment (FACE)? A meta-analytic review of the responses of photosynthesis, canopy properties and plant production to rising CO2. , 2004, The New phytologist.

[8]  P. Ciais,et al.  Europe-wide reduction in primary productivity caused by the heat and drought in 2003 , 2005, Nature.

[9]  N. C. Strugnell,et al.  First operational BRDF, albedo nadir reflectance products from MODIS , 2002 .

[10]  Richard A. Birdsey,et al.  Age structure and disturbance legacy of North American forests , 2010 .

[11]  Gregg Marland,et al.  The North American Carbon Budget and Implications for the Global Carbon Cycle , 2007 .

[12]  Ge Sun,et al.  Upscaling key ecosystem functions across the conterminous United States by a water‐centric ecosystem model , 2011 .

[13]  Alan S. Cantin,et al.  Future emissions from Canadian boreal forest fires , 2009 .

[14]  M. A. Arain,et al.  Biometric and eddy-covariance based estimates of carbon fluxes in an age-sequence of temperate pine forests. , 2010 .

[15]  George C. Hurtt,et al.  Hurricane Katrina's Carbon Footprint on U.S. Gulf Coast Forests , 2007, Science.

[16]  W. Cohen,et al.  United States Forest Disturbance Trends Observed Using Landsat Time Series , 2013, Ecosystems.

[17]  Fredrik Lagergren,et al.  Storms can cause Europe‐wide reduction in forest carbon sink , 2009 .

[18]  Shobha Kondragunta,et al.  Estimating forest biomass in the USA using generalized allometric models and MODIS land products , 2006 .

[19]  Jennifer L. Dungan,et al.  Diagnosing and assessing uncertainties of terrestrial ecosystem models in a multimodel ensemble experiment: 2. Carbon balance , 2011 .

[20]  P. Ciais,et al.  Consistent Land- and Atmosphere-Based U.S. Carbon Sink Estimates , 2001, Science.

[21]  Martha C. Anderson,et al.  Vegetation water content mapping using Landsat data derived normalized difference water index for corn and soybeans , 2004 .

[22]  W. Kurz,et al.  Mountain pine beetle and forest carbon feedback to climate change , 2008, Nature.

[23]  A. Huete,et al.  Overview of the radiometric and biophysical performance of the MODIS vegetation indices , 2002 .

[24]  W. Oechel,et al.  A continuous measure of gross primary production for the conterminous United States derived from MODIS and AmeriFlux data , 2010, Remote Sensing of Environment.

[25]  David R. Brillinger,et al.  Time Series , 2018, Randomization, Bootstrap and Monte Carlo Methods in Biology.

[26]  W. Oechel,et al.  FLUXNET: A New Tool to Study the Temporal and Spatial Variability of Ecosystem-Scale Carbon Dioxide, Water Vapor, and Energy Flux Densities , 2001 .

[27]  Henry W. Loescher,et al.  Uncertainties in, and interpretation of, carbon flux estimates using the eddy covariance technique , 2006 .

[28]  Andres Schmidt,et al.  Empirical assessment of uncertainties of meteorological parameters and turbulent fluxes in the AmeriFlux network , 2012 .

[29]  R. Fensholt,et al.  Derivation of a shortwave infrared water stress index from MODIS near- and shortwave infrared data in a semiarid environment , 2003 .

[30]  Christopher I. Roos,et al.  Fire in the Earth System , 2009, Science.

[31]  K. Davis,et al.  Uncertainty in model parameters and regional carbon fluxes: A model-data fusion approach , 2014 .

[32]  Kenneth L. Clark,et al.  Ecosystem carbon dioxide fluxes after disturbance in forests of North America , 2010 .

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

[34]  Huadong Guo,et al.  Net ecosystem productivity of temperate grasslands in northern China: An upscaling study , 2014 .

[35]  Werner A. Kurz,et al.  A 70-YEAR RETROSPECTIVE ANALYSIS OF CARBON FLUXES IN THE CANADIAN FOREST SECTOR , 1999 .

[36]  T. Wilbanks,et al.  The first state of the carbon cycle report (SOCCR): The North American carbon budget and implications for the global carbon cycle. , 2007 .

[37]  K. Treseder,et al.  Nitrogen limitation of net primary productivity in terrestrial ecosystems is globally distributed. , 2008, Ecology.

[38]  Vincent R. Gray Climate Change 2007: The Physical Science Basis Summary for Policymakers , 2007 .

[39]  W. Ju,et al.  Spatial distribution of carbon sources and sinks in Canada’s forests , 2003 .

[40]  Christopher B. Field,et al.  photosynthesis--nitrogen relationship in wild plants , 1986 .

[41]  Philip A. Townsend,et al.  Disentangling the contribution of biological and physical properties of leaves and canopies in imaging spectroscopy data , 2013, Proceedings of the National Academy of Sciences.

[42]  G. Asner Biophysical and Biochemical Sources of Variability in Canopy Reflectance , 1998 .

[43]  C. Wiedinmyer,et al.  Estimates of CO2 from fires in the United States: implications for carbon management , 2007, Carbon balance and management.

[44]  G. Katul,et al.  Soil fertility limits carbon sequestration by forest ecosystems in a CO2-enriched atmosphere , 2001, Nature.

[45]  Thomas J. Jackson,et al.  Estimation of vegetation water content for corn and soybeans with a normalized difference water index (NDWI) using Landsat Thematic Mapper data , 2003, IGARSS 2003. 2003 IEEE International Geoscience and Remote Sensing Symposium. Proceedings (IEEE Cat. No.03CH37477).

[46]  Hideki Kobayashi,et al.  Integration of MODIS land and atmosphere products with a coupled‐process model to estimate gross primary productivity and evapotranspiration from 1 km to global scales , 2011 .

[47]  K. Hirsch,et al.  Large forest fires in Canada, 1959–1997 , 2002 .

[48]  Maosheng Zhao,et al.  Drought-Induced Reduction in Global Terrestrial Net Primary Production from 2000 Through 2009 , 2010, Science.

[49]  David D. Parrish,et al.  NORTH AMERICAN REGIONAL REANALYSIS , 2006 .

[50]  Atul K. Jain,et al.  North American Carbon Program (NACP) regional interim synthesis: Terrestrial biospheric model intercomparison , 2012 .

[51]  Jing M. Chen,et al.  Improved assessment of gross and net primary productivity of Canada's landmass , 2013 .

[52]  P. Hari,et al.  The human footprint in the carbon cycle of temperate and boreal forests , 2007, Nature.

[53]  Houghton,et al.  The U.S. Carbon budget: contributions from land-Use change , 1999, Science.

[54]  Shamil Maksyutov,et al.  Global monthly CO2 flux inversion with a focus over North America , 2007 .

[55]  Frederik Verdonck,et al.  Parameter sensitivity and uncertainty of the forest carbon flux model FORUG: a Monte Carlo analysis. , 2006, Tree physiology.

[56]  R. B. Jackson,et al.  A Large and Persistent Carbon Sink in the World’s Forests , 2011, Science.

[57]  Markus Reichstein,et al.  Advances in upscaling of eddy covariance measurements of carbon and water fluxes , 2012 .

[58]  Andrew E. Suyker,et al.  Assessing net ecosystem carbon exchange of U.S. terrestrial ecosystems by integrating eddy covariance flux measurements and satellite observations , 2011 .

[59]  R. Waring,et al.  Evergreen Coniferous Forests of the Pacific Northwest , 1979, Science.

[60]  Christopher B. Field,et al.  FOREST CARBON SINKS IN THE NORTHERN HEMISPHERE , 2002 .

[61]  D. Hollinger,et al.  Uncertainty in eddy covariance measurements and its application to physiological models. , 2005, Tree physiology.

[62]  P. Reich,et al.  Carbon-Nitrogen Interactions in Terrestrial Ecosystems in Response to Rising Atmospheric Carbon Dioxide , 2006 .

[63]  Andrew E. Suyker,et al.  Estimation of net ecosystem carbon exchange for the conterminous United States by combining MODIS and AmeriFlux data , 2008, Agricultural and Forest Meteorology.

[64]  William W. Hargrove,et al.  New analysis reveals representativeness of the AmeriFlux network , 2003 .

[65]  Aaron Moody,et al.  Photosynthetic activity of US biomes: responses to the spatial variability and seasonality of precipitation and temperature , 2004 .

[66]  S. Frolking,et al.  Canopy nitrogen, carbon assimilation, and albedo in temperate and boreal forests: Functional relations and potential climate feedbacks , 2008, Proceedings of the National Academy of Sciences.

[67]  G. P. Zimmerman,et al.  The first state of the carbon cycle report (SOCCR): The North American carbon budget and implications for the global carbon cycle. , 2007 .

[68]  Aaron Moody,et al.  Twentieth-Century Droughts and Their Impacts on Terrestrial Carbon Cycling in China , 2009 .

[69]  Taro Takahashi,et al.  Towards robust regional estimates of CO2 sources and sinks using atmospheric transport models , 2002, Nature.

[70]  Peter E. Thornton,et al.  Recent trends in hydrologic balance have enhanced the terrestrial carbon sink in the United States , 2002 .

[71]  T. A. Black,et al.  Late-summer carbon fluxes from Canadian forests and peatlands along an east-west continental transect , 2006 .

[72]  Dennis D. Baldocchi,et al.  Seasonal differences in carbon and water vapor exchange in young and old-growth ponderosa pine ecosystems , 2002 .

[73]  Jing M. Chen,et al.  Recent global CO 2 flux inferred from atmospheric CO 2 observations and its regional analyses , 2011 .

[74]  P. Reich,et al.  Assessing the generality of global leaf trait relationships. , 2005, The New phytologist.

[75]  Corinne Le Quéré,et al.  Climate Change 2013: The Physical Science Basis , 2013 .

[76]  Philip Lewis,et al.  Hyperspectral remote sensing of foliar nitrogen content , 2012, Proceedings of the National Academy of Sciences.

[77]  Ke Zhang,et al.  Sensitivity of pan-Arctic terrestrial net primary productivity simulations to daily surface meteorology from NCEP-NCAR and ERA-40 reanalyses , 2007 .

[78]  B. Gao NDWI—A normalized difference water index for remote sensing of vegetation liquid water from space , 1996 .

[79]  R. Oren,et al.  Interaction of ice storms and management practices on current carbon sequestration in forests with potential mitigation under future CO2 atmosphere , 2006 .

[80]  M. Heimann,et al.  Comprehensive comparison of gap-filling techniques for eddy covariance net carbon fluxes , 2007 .

[81]  F. Deng,et al.  Global monthly CO 2 flux inversion with a focus over North America , 2007 .

[82]  Nathan M. Urban,et al.  Upscaling carbon fluxes from towers to the regional scale: Influence of parameter variability and land cover representation on regional flux estimates , 2011 .

[83]  Damien Sulla-Menashe,et al.  MODIS Collection 5 global land cover: Algorithm refinements and characterization of new datasets , 2010 .

[84]  Zhiqiang Yang,et al.  Detecting trends in forest disturbance and recovery using yearly Landsat time series: 1. LandTrendr — Temporal segmentation algorithms , 2010 .

[85]  A. Arneth,et al.  Assimilation exceeds respiration sensitivity to drought: A FLUXNET synthesis , 2010 .

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

[87]  Richard A. Birdsey,et al.  The use of forest stand age information in an atmospheric CO2 inversion applied to North America , 2013 .

[88]  F. Chapin,et al.  Principles of Terrestrial Ecosystem Ecology , 2002, Springer New York.

[89]  D. Baldocchi ‘Breathing’ of the terrestrial biosphere: lessons learned from a global network of carbon dioxide flux measurement systems , 2008 .

[90]  Eric A. Davidson,et al.  On the variability of respiration in terrestrial ecosystems: moving beyond Q 10 , 2006 .

[91]  E. Davidson,et al.  On the variability of respiration in terrestrial ecosystems: moving beyond Q10 , 2006 .

[92]  Christopher Potter,et al.  Simulating the impacts of disturbances on forest carbon cycling in North America: processes, data, models, and challenges , 2011 .