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Tree growth response to recent warming of two endemic species in Northeast Asia

Author

Listed:
  • Jan Altman

    (Institute of Botany
    Swiss Federal Institute for Forest, Snow and Landscape Research WSL)

  • Kerstin Treydte

    (Swiss Federal Institute for Forest, Snow and Landscape Research WSL)

  • Vit Pejcha

    (Institute of Botany)

  • Tomas Cerny

    (Czech University of Life Sciences)

  • Petr Petrik

    (Institute of Botany)

  • Miroslav Srutek

    (University of South Bohemia)

  • Jong-Suk Song

    (Andong National University)

  • Valerie Trouet

    (University of Arizona)

  • Jiri Dolezal

    (Institute of Botany
    University of South Bohemia)

Abstract

The impact of climatic change on forest ecosystems has received considerable attention, but our understanding of the modulation of this impact by elevational differences and by species interaction is still limited. Here, we analyse tree-ring-based growth-climate relationships for two dominant tree species along an 800-m elevational gradient on Jeju Island, South Korea. Both species, broadleaf Quercus mongolica (QUMO) and coniferous Abies koreana (ABKO), grow at the southern end of their distributional range and they have adjacent altitudinal ranges. We use static and moving bootstrapped correlation analysis to identify the effect of recent warming on their growth. QUMO is primarily positively influenced by moisture during the previous autumn at its upper elevational distribution. Recent warming, however, has diminished this relationship, while the enhancing impact of warm and dry summer conditions on QUMO growth has increased. These recent shifts in growth-climate relationship suggest an upward migration potential for QUMO due to warming-enhanced growth at higher elevations. ABKO growth, on the contrary, is primarily reduced by high winter and summer temperatures. This negative relationship has become more explicit in recent decades, particularly at lower elevations. At the highest elevation, however, ABKO growth-temperature relationship has consistently become more positive in the most recent decades. In the elevational zone where ABKO and QUMO co-exist, warming plays a primary role in ABKO growth reduction, while QUMO growth increases and thus induces a potential upward migration of QUMO. This combined effect can lead to population decline of ABKO. Our results significantly enhance our understanding of the impact of climate warming on two interacting species and provide information necessary for adaptation strategies to preserve declining ABKO populations.

Suggested Citation

  • Jan Altman & Kerstin Treydte & Vit Pejcha & Tomas Cerny & Petr Petrik & Miroslav Srutek & Jong-Suk Song & Valerie Trouet & Jiri Dolezal, 2020. "Tree growth response to recent warming of two endemic species in Northeast Asia," Climatic Change, Springer, vol. 162(3), pages 1345-1364, October.
  • Handle: RePEc:spr:climat:v:162:y:2020:i:3:d:10.1007_s10584-020-02718-1
    DOI: 10.1007/s10584-020-02718-1
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    References listed on IDEAS

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    1. Koo, Kyung Ah & Kong, Woo-Seok & Park, Seon Uk & Lee, Joon Ho & Kim, Jaeuk & Jung, Huicheul, 2017. "Sensitivity of Korean fir (Abies koreana Wils.), a threatened climate relict species, to increasing temperature at an island subalpine area," Ecological Modelling, Elsevier, vol. 353(C), pages 5-16.
    2. Jianfeng Li & Yongqin David Chen & Thian Yew Gan & Ngar-Cheung Lau, 2018. "Elevated increases in human-perceived temperature under climate warming," Nature Climate Change, Nature, vol. 8(1), pages 43-47, January.
    3. Peter B. Reich & Kerrie M. Sendall & Karen Rice & Roy L. Rich & Artur Stefanski & Sarah E. Hobbie & Rebecca A. Montgomery, 2015. "Geographic range predicts photosynthetic and growth response to warming in co-occurring tree species," Nature Climate Change, Nature, vol. 5(2), pages 148-152, February.
    4. David C. Frank & Jan Esper & Christoph C. Raible & Ulf Büntgen & Valerie Trouet & Benjamin Stocker & Fortunat Joos, 2010. "Ensemble reconstruction constraints on the global carbon cycle sensitivity to climate," Nature, Nature, vol. 463(7280), pages 527-530, January.
    5. Ren-Yan Duan & Xiao-Quan Kong & Min-Yi Huang & Wei-Yi Fan & Zhi-Gao Wang, 2014. "The Predictive Performance and Stability of Six Species Distribution Models," PLOS ONE, Public Library of Science, vol. 9(11), pages 1-8, November.
    6. Kerstin S. Treydte & Gerhard H. Schleser & Gerhard Helle & David C. Frank & Matthias Winiger & Gerald H. Haug & Jan Esper, 2006. "The twentieth century was the wettest period in northern Pakistan over the past millennium," Nature, Nature, vol. 440(7088), pages 1179-1182, April.
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