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TRIPLEX-Mortality model for simulating drought-induced tree mortality in boreal forests: Model development and evaluation

Author

Listed:
  • Liu, Qiuyu
  • Peng, Changhui
  • Schneider, Robert
  • Cyr, Dominic
  • Liu, Zelin
  • Zhou, Xiaolu
  • Kneeshaw, Daniel

Abstract

Globally, increasing drought-induced tree mortality rates under climate change are projected to have far-reaching effects on forest ecosystems. Among these forest systems, the boreal forest is considered a ‘tipping element’ of the Earth's climate system. This forest biome plays a critical role in ecosystem services, structures and functions while being highly sensitive to drought stress. Although process-based models are important tools in ecological research, very few have yet been developed that integrate advanced physiological mechanisms to simulate drought-induced mortality in boreal forests. Accordingly, based on the process-based TRIPLEX model, this study introduces the new TRIPLEX-Mortality submodule for the Canadian boreal forests at the stand level, that for the first time successfully incorporates two advanced drought-induced physiological mortality mechanisms (i.e., hydraulic failure and carbon starvation). To calibrate and validate the model, 73 permanent sample plots (PSPs) were selected across Canada's boreal forests. Results confirm a good agreement between simulated mortality and mortality observations (R2=0.79; P<0.01; IA=0.94), demonstrating good model performance in simulating drought-induced mortality in boreal forests. Sensitivity analysis indicated that parameter sensitivity increased as drought intensified, and the shape parameter (c) for calculating percentage loss of conductivity (PLC) was the most sensitive parameter (average SI = -3.51) to simulate tree mortality. Furthermore, the results of model input sensitivity analysis also showed that the model can capture changes in mortality under different drought scenarios. Consequently, our model is suitable for simulating drought-induced mortality in boreal forests while also providing new insight into improving model simulations for tree mortality and associated carbon dynamics in a progressively warmer and drier world.

Suggested Citation

  • Liu, Qiuyu & Peng, Changhui & Schneider, Robert & Cyr, Dominic & Liu, Zelin & Zhou, Xiaolu & Kneeshaw, Daniel, 2021. "TRIPLEX-Mortality model for simulating drought-induced tree mortality in boreal forests: Model development and evaluation," Ecological Modelling, Elsevier, vol. 455(C).
  • Handle: RePEc:eee:ecomod:v:455:y:2021:i:c:s030438002100212x
    DOI: 10.1016/j.ecolmodel.2021.109652
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    1. Brendan Choat & Timothy J. Brodribb & Craig R. Brodersen & Remko A. Duursma & Rosana López & Belinda E. Medlyn, 2018. "Triggers of tree mortality under drought," Nature, Nature, vol. 558(7711), pages 531-539, June.
    2. A. Park Williams & Craig D. Allen & Alison K. Macalady & Daniel Griffin & Connie A. Woodhouse & David M. Meko & Thomas W. Swetnam & Sara A. Rauscher & Richard Seager & Henri D. Grissino-Mayer & Jeffre, 2013. "Temperature as a potent driver of regional forest drought stress and tree mortality," Nature Climate Change, Nature, vol. 3(3), pages 292-297, March.
    3. Michael J. O’Brien & Sebastian Leuzinger & Christopher D. Philipson & John Tay & Andy Hector, 2014. "Drought survival of tropical tree seedlings enhanced by non-structural carbohydrate levels," Nature Climate Change, Nature, vol. 4(8), pages 710-714, August.
    4. 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.
    5. Atticus E. L. Stovall & Herman Shugart & Xi Yang, 2019. "Tree height explains mortality risk during an intense drought," Nature Communications, Nature, vol. 10(1), pages 1-6, December.
    6. William R. L. Anderegg & Jeffrey M. Kane & Leander D. L. Anderegg, 2013. "Consequences of widespread tree mortality triggered by drought and temperature stress," Nature Climate Change, Nature, vol. 3(1), pages 30-36, January.
    7. Brendan Choat & Steven Jansen & Tim J. Brodribb & Hervé Cochard & Sylvain Delzon & Radika Bhaskar & Sandra J. Bucci & Taylor S. Feild & Sean M. Gleason & Uwe G. Hacke & Anna L. Jacobsen & Frederic Len, 2012. "Global convergence in the vulnerability of forests to drought," Nature, Nature, vol. 491(7426), pages 752-755, November.
    8. Wang, Weifeng & Peng, Changhui & Zhang, S.Y. & Zhou, Xiaolu & Larocque, Guy R. & Kneeshaw, Daniel D. & Lei, Xiangdong, 2011. "Development of TRIPLEX-Management model for simulating the response of forest growth to pre-commercial thinning," Ecological Modelling, Elsevier, vol. 222(14), pages 2249-2261.
    9. 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.
    10. N. G. McDowell & A. P. Williams & C. Xu & W. T. Pockman & L. T. Dickman & S. Sevanto & R. Pangle & J. Limousin & J. Plaut & D. S. Mackay & J. Ogee & J. C. Domec & C. D. Allen & R. A. Fisher & X. Jiang, 2016. "Multi-scale predictions of massive conifer mortality due to chronic temperature rise," Nature Climate Change, Nature, vol. 6(3), pages 295-300, March.
    11. Kevin E. Trenberth & Aiguo Dai & Gerard van der Schrier & Philip D. Jones & Jonathan Barichivich & Keith R. Briffa & Justin Sheffield, 2014. "Global warming and changes in drought," Nature Climate Change, Nature, vol. 4(1), pages 17-22, January.
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