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Title: Quantifying the effect of forest age in annual net forest carbon balance

Journal Article · · Environmental Research Letters
ORCiD logo [1];  [2];  [3];  [4]; ORCiD logo [5];  [6];  [7]; ORCiD logo [8];  [5];  [9];  [10];  [11];  [5];  [6];  [12];  [13];  [14];  [11];  [15];  [16] more »;  [17];  [18];  [19];  [20];  [21];  [12] « less
  1. Max Planck Society, Jena (Germany). Max Planck Inst. for Biogeochemistry; Wageningen Univ. (Netherlands); DOE/OSTI
  2. Max Planck Society, Jena (Germany). Max Planck Inst. for Biogeochemistry; NOVA Univ. Lisbon (Portugal)
  3. McMaster Univ., Hamilton, ON (Canada)
  4. Univ. of British Columbia, Vancouver, BC (Canada)
  5. Wageningen Univ. (Netherlands)
  6. Federal Inst. of Technology, Zurich (Switzerland)
  7. European Commission, Ispra (Italy). Joint Research Centre
  8. Michigan State Univ., East Lansing, MI (United States)
  9. Univ. of Wisconsin, Madison, WI (United States)
  10. Virginia Commonwealth Univ., Richmond, VA (United States)
  11. Global Change Research Inst. CAS, Brno (Czech Republic)
  12. Max Planck Society, Jena (Germany). Max Planck Inst. for Biogeochemistry
  13. Gottingen Univ. (Germany)
  14. Wageningen Environmental Research (Alterra) (Netherlands)
  15. Oregon State Univ., Corvallis, OR (United States)
  16. Lund Univ. (Sweden)
  17. North Carolina State Univ., Raleigh, NC (United States); Texas A & M Univ., College Station, TX (United States)
  18. CIRAD, Dakar (Senegal); Montpellier Univ. (France)
  19. Karlsruhe Inst. of Technology (KIT) (Germany)
  20. Russian Academy of Sciences (RAS), Moscow (Russian Federation)
  21. UCLouvain (Belgium)

Forests dominate carbon (C) exchanges between the terrestrial biosphere and the atmosphere on land. In the long term, the net carbon flux between forests and the atmosphere has been significantly impacted by changes in forest cover area and structure due to ecological disturbances and management activities. Current empirical approaches for estimating net ecosystem productivity (NEP) rarely consider forest age as a predictor, which represents variation in physiological processes that can respond differently to environmental drivers, and regrowth following disturbance. Here, we conduct an observational synthesis to empirically determine to what extent climate, soil properties, nitrogen deposition, forest age and management influence the spatial and interannual variability of forest NEP across 126 forest eddy-covariance flux sites worldwide. The empirical models explained up to 62% and 71% of spatio-temporal and across-site variability of annual NEP, respectively. An investigation of model structures revealed that forest age was a dominant factor of NEP spatio-temporal variability in both space and time at the global scale as compared to abiotic factors, such as nutrient availability, soil characteristics and climate. These findings emphasize the importance of forest age in quantifying spatio-temporal variation in NEP using empirical approaches.

Research Organization:
Oregon State Univ., Corvallis, OR (United States)
Sponsoring Organization:
USDOE Office of Science (SC), Biological and Environmental Research (BER) (SC-23)
Grant/Contract Number:
FG02-04ER63911; FG02-04ER63917
OSTI ID:
1609582
Journal Information:
Environmental Research Letters, Journal Name: Environmental Research Letters Journal Issue: 12 Vol. 13; ISSN 1748-9326
Publisher:
IOP PublishingCopyright Statement
Country of Publication:
United States
Language:
English

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How to measure, report and verify soil carbon change to realize the potential of soil carbon sequestration for atmospheric greenhouse gas removal journal October 2019
Memory effects of climate and vegetation affecting net ecosystem CO2 fluxes in global forests journal February 2019
The physics and ecology of mining carbon dioxide from the atmosphere by ecosystems journal January 2019
How eddy covariance flux measurements have contributed to our understanding of Global Change Biology journal September 2019
How to measure, report and verify soil carbon change to realize the potential of soil carbon sequestration for atmospheric greenhouse gas removal journal October 2019
Memory effects of climate and vegetation affecting net ecosystem CO2 fluxes in global forests journal February 2019
Memory effects of climate and vegetation affecting net ecosystem CO2 fluxes in global forests text January 2019
Memory effects of climate and vegetation affecting net ecosystem CO2 fluxes in global forests text January 2019
Carbon–nitrogen interactions in European forests and semi-natural vegetation – Part 1: Fluxes and budgets of carbon, nitrogen and greenhouse gases from ecosystem monitoring and modelling journal January 2020
Carbon–nitrogen interactions in European forests and semi-natural vegetation – Part 2: Untangling climatic, edaphic, management and nitrogen deposition effects on carbon sequestration potentials journal January 2020
Accounting for forest age in the tile-based dynamic global vegetation model JSBACH4 (4.20p7; git feature/forests) – a land surface model for the ICON-ESM journal January 2020
Carbon-nitrogen interactions in European forests and semi-natural vegetation - Part 2: Untangling climatic, edaphic, management and nitrogen deposition effects on carbon sequestration potentials text January 2020