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Incorporating weather sensitivity in inventory-based estimates of boreal forest productivity: A meta-analysis of process model results

Author

Listed:
  • Wang, Z.
  • Grant, R.F.
  • Arain, M.A.
  • Bernier, P.Y.
  • Chen, B.
  • Chen, J.M.
  • Govind, A.
  • Guindon, L.
  • Kurz, W.A.
  • Peng, C.
  • Price, D.T.
  • Stinson, G.
  • Sun, J.
  • Trofymowe, J.A.
  • Yeluripati, J.

Abstract

Weather effects on forest productivity are not normally represented in inventory-based models for carbon accounting. To represent these effects, a meta-analysis was conducted on modeling results of five process models (ecosys, CN-CLASS, Can-IBIS, InTEC and TRIPLEX) as applied to a 6275ha boreal forest landscape in Eastern Canada. Process model results showed that higher air temperature (Ta) caused gains in CO2 uptake in spring, but losses in summer, both of which were corroborated by CO2 fluxes measured by eddy covariance (EC). Seasonal changes in simulated CO2 fluxes and resulting inter-annual variability in NEP corresponded to those derived from EC measurements. Simulated long-term changes in above-ground carbon (AGC) resulting from modeled NEP and disturbance responses were close to those estimated from inventory data. A meta-analysis of model results indicates a robust positive correlation between simulated annual NPP and mean maximum daily air temperature (Tamax) during May–June in four of the process models. We therefore, derived a function to impart climate sensitivity to inventory-based models of NPP: NPP′i=NPPi+9.5 (Tamax −16.5) where NPPi and NPP′i; are the current and temperature-adjusted NPP, 16.5 is the long-term mean Tamax during May–June, and Tamax is that for the current year. The sensitivity of net CO2 exchange to Ta is nonlinear. Although, caution should be exercised while extrapolating this algorithm to regions beyond the conditions studied in this landscape, results of our study are scalable to other regions with a humid continental boreal climate dominated by black spruce. Collectively, such regions comprise one of the largest climatic zones in the 450Mha North American boreal forest ecosystems.

Suggested Citation

  • Wang, Z. & Grant, R.F. & Arain, M.A. & Bernier, P.Y. & Chen, B. & Chen, J.M. & Govind, A. & Guindon, L. & Kurz, W.A. & Peng, C. & Price, D.T. & Stinson, G. & Sun, J. & Trofymowe, J.A. & Yeluripati, J., 2013. "Incorporating weather sensitivity in inventory-based estimates of boreal forest productivity: A meta-analysis of process model results," Ecological Modelling, Elsevier, vol. 260(C), pages 25-35.
    • Handle: RePEc:eee:ecomod:v:260:y:2013:i:c:p:25-35
    DOI: 10.1016/j.ecolmodel.2013.03.016
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    References listed on IDEAS

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    1. W. Kurz & M. Apps, 2006. "Developing Canada's National Forest Carbon Monitoring, Accounting and Reporting System to Meet the Reporting Requirements of the Kyoto Protocol," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 11(1), pages 33-43, January.
    2. Wang, Z. & Grant, R.F. & Arain, M.A. & Chen, B.N. & Coops, N. & Hember, R. & Kurz, W.A. & Price, D.T. & Stinson, G. & Trofymow, J.A. & Yeluripati, J. & Chen, Z., 2011. "Evaluating weather effects on interannual variation in net ecosystem productivity of a coastal temperate forest landscape: A model intercomparison," Ecological Modelling, Elsevier, vol. 222(17), pages 3236-3249.
    3. Zhou, Xiaolu & Peng, Changhui & Dang, Qing-Lai & Sun, Jianfeng & Wu, Haibin & Hua, Dong, 2008. "Simulating carbon exchange in Canadian Boreal forests," Ecological Modelling, Elsevier, vol. 219(3), pages 287-299.
    4. N/A, 2004. "Index for 2004," European Union Politics, , vol. 5(4), pages 511-512, December.
    5. Kurz, W.A. & Dymond, C.C. & White, T.M. & Stinson, G. & Shaw, C.H. & Rampley, G.J. & Smyth, C. & Simpson, B.N. & Neilson, E.T. & Trofymow, J.A. & Metsaranta, J. & Apps, M.J., 2009. "CBM-CFS3: A model of carbon-dynamics in forestry and land-use change implementing IPCC standards," Ecological Modelling, Elsevier, vol. 220(4), pages 480-504.
    6. Sun, Jianfeng & Peng, Changhui & McCaughey, Harry & Zhou, Xiaolu & Thomas, Valerie & Berninger, Frank & St-Onge, Benoît. & Hua, Dong, 2008. "Simulating carbon exchange of Canadian boreal forests," Ecological Modelling, Elsevier, vol. 219(3), pages 276-286.
    7. Valerie A. Barber & Glenn Patrick Juday & Bruce P. Finney, 2000. "Reduced growth of Alaskan white spruce in the twentieth century from temperature-induced drought stress," Nature, Nature, vol. 405(6787), pages 668-673, June.
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    1. Shaw, C.H. & Hilger, A.B. & Metsaranta, J. & Kurz, W.A. & Russo, G. & Eichel, F. & Stinson, G. & Smyth, C. & Filiatrault, M., 2014. "Evaluation of simulated estimates of forest ecosystem carbon stocks using ground plot data from Canada's National Forest Inventory," Ecological Modelling, Elsevier, vol. 272(C), pages 323-347.
    2. Chen, Bin & Arain, M. Altaf & Chen, Jing M. & Croft, Holly & Grant, Robert F. & Kurz, Werner A. & Bernier, Pierre & Guindon, Luc & Price, David & Wang, Ziyu, 2016. "Evaluating the impacts of climate variability and cutting and insect defoliation on the historical carbon dynamics of a boreal black spruce forest landscape in eastern Canada," Ecological Modelling, Elsevier, vol. 321(C), pages 98-109.

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