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Chinese Journal of Applied Ecology ›› 2016, Vol. 27 ›› Issue (10): 3059-3069.doi: 10.13287/j.1001-9332.201610.011

• CONTENTS •     Next Articles

Simulation study on the effects of climate change on aboveground biomass of plantation in southern China: Taking Moshao forest farm in Huitong Ecological Station as an example

DAI Er-fu1,2, ZHOU Heng3, WU Zhuo1,2,4*, WANG Xiao-fan1,2,4, XI Wei-min5,6, ZHU Jian-jia1,2,4   

  1. 1Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China;
    2Key Laboratory of Land Surface Pattern and Simulation, Chinese Academy of Sciences, Beijing 100101, China;
    3College of Resource Environment and Tourism, Ca-pital Normal University, Beijing 100048, China;
    4University of Chinese Academy of Sciences, Beijing 100049, China;
    5Department of Biological and Health Sciences, Texas A&M University, Kingsville, Texas 78363, USA;
    6Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China;
  • Received:2016-02-04 Published:2016-10-18
  • Contact: * E-mail: wuz.14b@igsnrr.ac.cn
  • Supported by:
    This work was supported by the National Key Basic Research Program of China (2015CB452702, 2012CB416906), the National Natural Science Foundation of China (41530749, 41571098, 41371196) and the National Key Science and Technology Support Program (2013BAC03B04).

Abstract: Global climate warming has significant effect on territorial ecosystem, especially on forest ecosystem. The increase in temperature and radiative forcing will significantly alter the structure and function of forest ecosystem. The southern plantation is an important part of forests in China, its response to climate change is getting more and more intense. In order to explore the responses of southern plantation to climate change under future climate scenarios and to reduce the losses that might be caused by climate change, we used climatic estimated data under three new emission scenarios, representative concentration pathways (RCPs) scenarios (RCP2.6 scenario, RCP4.5 scenario, and RCP8.5 scenario). We used the spatially dynamic forest landscape model LANDIS-Ⅱ, coupled with a forest ecosystem process model PnET-Ⅱ, to simulate the impact of climate change on aboveground net primary production (ANPP), species’ establishment probability (SEP) and aboveground biomass of Moshao forest farm in Huitong Ecological Station, which located in Hunan Province during the period of 2014-2094. The results showed that there were obvious differences in SEP and ANPP among different forest types under changing climate. The degrees of response of SEP to climate change for different forest types were shown as: under RCP2.6 and RCP4.5, artificial coniferous forest>natural broadleaved forest>artificial broadleaved forest. Under RCP8.5, natural broadleaved forest>artificial broadleaved forest>artificial coniferous forest. The degrees of response of ANPP to climate change for different forest types were shown as: under RCP2.6, artificial broadleaved forest> natural broadleaved forest>artificial coniferous forest. Under RCP4.5 and RCP8.5, natural broadleaved forest>artificial broadleaved forest>artificial coniferous forest. The aboveground biomass of the artificial coniferous forest would decline at about 2050, but the natural broadleaved forest and artificial broadleaved forest showed a rising trend in general. During the period of 2014-2094, the total aboveground biomass under RCP2.6, RCP4.5 and RCP8.5 scenarios increased by 68.2%, 79.3% and 72.6%, respectively. The total aboveground biomass under various climatic scenarios sort as: RCP4.5>RCP8.5>RCP2.6. We thought that an appropriate temperature might be beneficial to the biomass accumulation in this study area. However, overextended temperature might hinder the sustainable development of forest production and ecological function.