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Climate Change Affects Forest Productivity in a Typical Climate Transition Region of China

Author

Listed:
  • Yongxia Ding

    (School of Geography and Tourism, Shaanxi Normal University, Xi’an 710169, China)

  • Siqi Liang

    (State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau, Northwest A&F University, Yangling 712100, China)

  • Shouzhang Peng

    (State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau, Northwest A&F University, Yangling 712100, China)

Abstract

As global climate change has a large effect on the structure and function of vegetation, it is very important to understand how forests in climate transition regions respond to climate change. The present study investigates the net primary productivity (NPP) of two planted forests ( Robinia pseudoacacia and Pinus tabulaeformis ) and one natural forest ( Quercus wutaishanica ) from 1951–2100 using the LPJ-GUESS model in the Shaanxi province of China, which is a typical transition region from humid to dry climates. We found that: (1) Future annual precipitation and mean temperature exhibited nonsignificant and significant increasing trend in the region, respectively, indicating a drier climate in future; (2) although precipitation would increase in the dry area and decrease in the humid area, the NPP of each species in the dry area would be lower than that of the humid area, possibly because increasing temperature and CO 2 concentration could restrain forest growth in dry areas and promote forest growth in humid areas; (3) of the three species, P. tabulaeformis forest exhibited the highest average NPP and R. pseudoacacia forest exhibited the highest NPP trend in both dry and humid areas, indicating these planted species may be adaptable to future climate change. Our results provide novel insights into the potential response of forest productivity to a changing climate in the transition region from humid to dry climates.

Suggested Citation

  • Yongxia Ding & Siqi Liang & Shouzhang Peng, 2019. "Climate Change Affects Forest Productivity in a Typical Climate Transition Region of China," Sustainability, MDPI, vol. 11(10), pages 1-14, May.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:10:p:2856-:d:232612
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    References listed on IDEAS

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    1. Zhonglin Xu & Chuanyan Zhao & Zhaodong Feng & Fang Zhang & Hassan Sher & Chao Wang & Huanhua Peng & Ying Wang & Yang Zhao & Yao Wang & Shouzhang Peng & Xianglin Zheng, 2013. "Estimating realized and potential carbon storage benefits from reforestation and afforestation under climate change: a case study of the Qinghai spruce forests in the Qilian Mountains, northwestern Ch," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 18(8), pages 1257-1268, December.
    2. Sallaba, Florian & Lehsten, Dörte & Seaquist, Jonathan & Sykes, Martin T., 2015. "A rapid NPP meta-model for current and future climate and CO2 scenarios in Europe," Ecological Modelling, Elsevier, vol. 302(C), pages 29-41.
    3. Martin Heimann & Markus Reichstein, 2008. "Terrestrial ecosystem carbon dynamics and climate feedbacks," Nature, Nature, vol. 451(7176), pages 289-292, January.
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    1. Ruiming Cheng & Jing Zhang & Xinyue Wang & Zhidong Zhang, 2022. "Growth Suitability Evaluation of Larix principis-rupprechtii Mayr Based on Potential NPP under Different Climate Scenarios," Sustainability, MDPI, vol. 15(1), pages 1-15, December.

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