中国地理科学 ›› 2017, Vol. 27 ›› Issue (6): 948-962.doi: 10.1007/s11769-017-0895-5

• 论文 • 上一篇    下一篇

Spatio-temporal Pattern of Net Primary Productivity in Hengduan Mountains area, China:Impacts of Climate Change and Human Activities

CHEN Tiantian1,2, PENG Li1, LIU Shaoquan1, WANG Qiang3   

  1. 1. Institute of Mountain Hazards and Environment Chinese Academy of Sciences, Chengdu 610041, China;
    2. University of Chinese Academy of Sciences, Beijing 100049, China;
    3. Chengdu university of Technology, Chengdu 610059, China
  • 收稿日期:2016-11-23 修回日期:2017-04-03 出版日期:2017-12-27 发布日期:2017-11-06
  • 通讯作者: PENG Li.E-mail:pengli@imde.ac.cn E-mail:pengli@imde.ac.cn
  • 基金资助:

    Under the auspices of National Key Basic Research Program of China (No. 2015CB452706), National Natural Science Foundation of China (No. 41401198, 41571527), Youth Talent Team Program of the Institute of Mountain Hazards and Environment, Chinese Academy of Sciences (No. SDSQB-2015-01), Youth Innovation Promotion Association, Chinese Academy of Sciences (No. 2016332)

Spatio-temporal Pattern of Net Primary Productivity in Hengduan Mountains area, China:Impacts of Climate Change and Human Activities

CHEN Tiantian1,2, PENG Li1, LIU Shaoquan1, WANG Qiang3   

  1. 1. Institute of Mountain Hazards and Environment Chinese Academy of Sciences, Chengdu 610041, China;
    2. University of Chinese Academy of Sciences, Beijing 100049, China;
    3. Chengdu university of Technology, Chengdu 610059, China
  • Received:2016-11-23 Revised:2017-04-03 Online:2017-12-27 Published:2017-11-06
  • Contact: PENG Li.E-mail:pengli@imde.ac.cn E-mail:pengli@imde.ac.cn
  • Supported by:

    Under the auspices of National Key Basic Research Program of China (No. 2015CB452706), National Natural Science Foundation of China (No. 41401198, 41571527), Youth Talent Team Program of the Institute of Mountain Hazards and Environment, Chinese Academy of Sciences (No. SDSQB-2015-01), Youth Innovation Promotion Association, Chinese Academy of Sciences (No. 2016332)

摘要:

Net primary productivity (NPP), a metric used to define and identify changes in plant communities, is greatly affected by climate change, human activities and other factors. Here, we used the Carnegie-Ames-Stanford Approach (CASA) model to estimate the NPP of plant communities in Hengduan Mountains area of China, and to explore the relationship between NPP and altitude in this region. We examined the mechanisms underlying vegetation growth responses to climate change and quantitatively assessed the effects of ecological protection measures by partitioning the contributions of climate change and human activities to NPP changes. The results demonstrated that:1) the average total and annual NPP values over the years were 209.15 Tg C and 468.06 g C/(m2·yr), respectively. Their trend increasingly fluctuated, with spatial distribution strongly linked to altitude (i.e., lower and higher NPP in high altitude and low altitude areas, respectively) and 2400 m represented the marginal altitude for vegetation differentiation; 2) areas where climate was the main factor affecting NPP accounted for 18.2% of the total research area, whereas human activities were the primary factor influencing NPP in 81.8% of the total research area, which indicated that human activity was the main force driving changes in NPP. Areas where climatic factors (i.e., temperature and precipitation) were the main driving factors occupied 13.6% (temperature) and 6.0% (precipitation) of the total research area, respectively. Therefore, the effect of temperature on NPP changes was stronger than that of precipitation; and 3) the majority of NPP residuals from 2001 to 2014 were positive, with human activities playing an active role in determining regional vegetation growth, possibly due to the return of farmland back to forest and natural forest protection. However, this positive trend is decreasing. This clearly shows the periodical nature of ecological projects and a lack of long-term effectiveness.

关键词: net primary productivity (NPP), Carnegie-Ames-Stanford Approach (CASA) model, climate change, human activities, Hengduan Mountains area

Abstract:

Net primary productivity (NPP), a metric used to define and identify changes in plant communities, is greatly affected by climate change, human activities and other factors. Here, we used the Carnegie-Ames-Stanford Approach (CASA) model to estimate the NPP of plant communities in Hengduan Mountains area of China, and to explore the relationship between NPP and altitude in this region. We examined the mechanisms underlying vegetation growth responses to climate change and quantitatively assessed the effects of ecological protection measures by partitioning the contributions of climate change and human activities to NPP changes. The results demonstrated that:1) the average total and annual NPP values over the years were 209.15 Tg C and 468.06 g C/(m2·yr), respectively. Their trend increasingly fluctuated, with spatial distribution strongly linked to altitude (i.e., lower and higher NPP in high altitude and low altitude areas, respectively) and 2400 m represented the marginal altitude for vegetation differentiation; 2) areas where climate was the main factor affecting NPP accounted for 18.2% of the total research area, whereas human activities were the primary factor influencing NPP in 81.8% of the total research area, which indicated that human activity was the main force driving changes in NPP. Areas where climatic factors (i.e., temperature and precipitation) were the main driving factors occupied 13.6% (temperature) and 6.0% (precipitation) of the total research area, respectively. Therefore, the effect of temperature on NPP changes was stronger than that of precipitation; and 3) the majority of NPP residuals from 2001 to 2014 were positive, with human activities playing an active role in determining regional vegetation growth, possibly due to the return of farmland back to forest and natural forest protection. However, this positive trend is decreasing. This clearly shows the periodical nature of ecological projects and a lack of long-term effectiveness.

Key words: net primary productivity (NPP), Carnegie-Ames-Stanford Approach (CASA) model, climate change, human activities, Hengduan Mountains area