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Impacts of climate change on biological rotation of Larix olgensis plantations for timber production and carbon storage in northeast China using the 3-PGmix model

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  • Xie, Yalin
  • Lei, Xiangdong
  • Shi, Jingning

Abstract

Biological rotation length is a key parameter of even-aged forest management. Future climate change is expected to affect forest growth and thus modify biological rotation age, but knowledge about the effect of climate change on the rotation for both timber production and carbon storage remains limited from process-based growth model. The biological rotation age (BRA) of Larix olgensis plantations in China is technically set for 40 years according to the principle of maximizing timber production, and it is necessary to further examine the BRA with consideration of site quality differences and climate change. On the basis of 164 sample plots from the National Forest Inventory across the Jilin Province, Northeast China, we use the process-based model 3-PGmix to simulate the change of the BRA of Larix olgensis plantations for timber production and carbon storage under climate change. Different climate scenarios are investigated across different site productivity levels. Under the current climate scenario, the BRAs for timber production and carbon storage are approximately 23.8–41.5 years and 25.0–46.4 years, respectively. The BRAs are reduced by 2–9 years under RCP 4.5 and RCP 8.5 climate scenarios. The BRA modification by climate change was site-dependent, and stands with good productivity sites led to shorter BRAs than those with poor productivity sites. The 3-PGmix model effectively simulates the dynamic change of stand volume and biomass for larch plantations. Future climate change with rising temperature, increased precipitation and elevated CO2 concertration is conducive to the growth of stand volume and carbon storage in the order of RCP 8.5 > RCP 4.5 > current. Results can provide scientific implications for adaptive management of Larix olgensis plantations, and shorter biological rotation is suggested for rotation modification under the future climate change in the region.

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  • Xie, Yalin & Lei, Xiangdong & Shi, Jingning, 2020. "Impacts of climate change on biological rotation of Larix olgensis plantations for timber production and carbon storage in northeast China using the 3-PGmix model," Ecological Modelling, Elsevier, vol. 435(C).
  • Handle: RePEc:eee:ecomod:v:435:y:2020:i:c:s0304380020303379
    DOI: 10.1016/j.ecolmodel.2020.109267
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    1. Claudio O. Stöckle & Stewart Higgins & Roger Nelson & John Abatzoglou & Dave Huggins & William Pan & Tina Karimi & John Antle & Sanford D. Eigenbrode & Erin Brooks, 2018. "Evaluating opportunities for an increased role of winter crops as adaptation to climate change in dryland cropping systems of the U.S. Inland Pacific Northwest," Climatic Change, Springer, vol. 146(1), pages 247-261, January.
    2. Claudia Tebaldi & Bruno Sansó, 2009. "Joint projections of temperature and precipitation change from multiple climate models: a hierarchical Bayesian approach," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 172(1), pages 83-106, January.
    3. Vauhkonen, Jari & Packalen, Tuula, 2018. "Uncertainties related to climate change and forest management with implications on climate regulation in Finland," Ecosystem Services, Elsevier, vol. 33(PB), pages 213-224.
    4. Gupta, Rajit & Sharma, Laxmi Kant, 2019. "The process-based forest growth model 3-PG for use in forest management: A review," Ecological Modelling, Elsevier, vol. 397(C), pages 55-73.
    5. Olschewski, Roland & Benítez, Pablo C., 2010. "Optimizing joint production of timber and carbon sequestration of afforestation projects," Journal of Forest Economics, Elsevier, vol. 16(1), pages 1-10, January.
    6. Sousa-Silva, Rita & Verbist, Bruno & Lomba, Ângela & Valent, Peter & Suškevičs, Monika & Picard, Olivier & Hoogstra-Klein, Marjanke A. & Cosofret, Vasile-Cosmin & Bouriaud, Laura & Ponette, Quentin & , 2018. "Adapting forest management to climate change in Europe: Linking perceptions to adaptive responses," Forest Policy and Economics, Elsevier, vol. 90(C), pages 22-30.
    7. Asante, Patrick & Armstrong, Glen W., 2012. "Optimal forest harvest age considering carbon sequestration in multiple carbon pools: A comparative statics analysis," Journal of Forest Economics, Elsevier, vol. 18(2), pages 145-156.
    8. Ekholm, Tommi, 2016. "Optimal forest rotation age under efficient climate change mitigation," Forest Policy and Economics, Elsevier, vol. 62(C), pages 62-68.
    9. W. A. Kurz & C. C. Dymond & G. Stinson & G. J. Rampley & E. T. Neilson & A. L. Carroll & T. Ebata & L. Safranyik, 2008. "Mountain pine beetle and forest carbon feedback to climate change," Nature, Nature, vol. 452(7190), pages 987-990, April.
    10. Nghiem, Nhung, 2014. "Optimal rotation age for carbon sequestration and biodiversity conservation in Vietnam," Forest Policy and Economics, Elsevier, vol. 38(C), pages 56-64.
    11. Christopher P. O. Reyer & Michael Flechsig & Petra Lasch-Born & Marcel Oijen, 2016. "Integrating parameter uncertainty of a process-based model in assessments of climate change effects on forest productivity," Climatic Change, Springer, vol. 137(3), pages 395-409, August.
    12. Belinda E. Medlyn & Remko A. Duursma & Melanie J. B. Zeppel, 2011. "Forest productivity under climate change: a checklist for evaluating model studies," Wiley Interdisciplinary Reviews: Climate Change, John Wiley & Sons, vol. 2(3), pages 332-355, May.
    13. Marielle Brunette & Nathalie Breda, 2019. "Are 40 years better than 55 ? An analysis of the reduction of forest rotation to face drought event in a Douglas fir stand," Post-Print hal-02118104, HAL.
    14. Forrester, David I. & Tang, Xiaolu, 2016. "Analysing the spatial and temporal dynamics of species interactions in mixed-species forests and the effects of stand density using the 3-PG model," Ecological Modelling, Elsevier, vol. 319(C), pages 233-254.
    15. Forrester, David I., 2014. "A stand-level light interception model for horizontally and vertically heterogeneous canopies," Ecological Modelling, Elsevier, vol. 276(C), pages 14-22.
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