中国地理科学 ›› 2019, Vol. 20 ›› Issue (5): 725-740.doi: 10.1007/s11769-019-1063-x

• 论文 •    下一篇

Assessing the Dynamics of Grassland Net Primary Productivity in Re-sponse to Climate Change at the Global Scale

LIU Yangyang1, YANG Yue2, WANG Qian1, KHALIFA Muhammad3,4, ZHANG Zhaoying5, TONG Linjing1, LI Jianlong1, SHI Aiping6   

  1. 1. Department of Ecology, School of Life Science, Nanjing University, Nanjing 210046, China;
    2. Nanjing Institute of Environmental Sciences, Ministry of Environmental Protection of the People's Republic of China, Nanjing 210042, China;
    3. Institute for Technology and Resources Management in the Tropics and Subtropics(ITT), Technische Hochschule Köln-Cologne University of Applied Sciences, Cologne 50679, Germany;
    4. Department of Geography, University of Cologne, Albertus-Magnus-Platz, D-50923 Cologne, Germany;
    5. International Institute for Earth System Sciences, Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology, Nanjing University, Nanjing 210023, China;
    6. School of Agricultural Equipment Engineering, Jiangsu University, Zhenjiang 212013, China
  • 收稿日期:2018-09-26 修回日期:2018-11-18 出版日期:2019-10-27 发布日期:2019-09-26
  • 通讯作者: LI Jianlong.E-mail:jlli2008@nju.edu.cn;SHI Aiping,shap@ujs.edu.cn E-mail:jlli2008@nju.edu.cn;shap@ujs.edu.cn
  • 基金资助:

    Under the auspices of Asia Pacific Network for Global Change Research (APN), Global Change Fund Project (No. ARCP2015-03CMY-Li), National Natural Science Foundation of China (No. 41271361, 41501575), National Key Research and De-velopment Project (No. 2018YFD0800201), Key Project of Chinese National Programs for Fundamental Research and Development (No. 2010CB950702)

Assessing the Dynamics of Grassland Net Primary Productivity in Re-sponse to Climate Change at the Global Scale

LIU Yangyang1, YANG Yue2, WANG Qian1, KHALIFA Muhammad3,4, ZHANG Zhaoying5, TONG Linjing1, LI Jianlong1, SHI Aiping6   

  1. 1. Department of Ecology, School of Life Science, Nanjing University, Nanjing 210046, China;
    2. Nanjing Institute of Environmental Sciences, Ministry of Environmental Protection of the People's Republic of China, Nanjing 210042, China;
    3. Institute for Technology and Resources Management in the Tropics and Subtropics(ITT), Technische Hochschule Köln-Cologne University of Applied Sciences, Cologne 50679, Germany;
    4. Department of Geography, University of Cologne, Albertus-Magnus-Platz, D-50923 Cologne, Germany;
    5. International Institute for Earth System Sciences, Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology, Nanjing University, Nanjing 210023, China;
    6. School of Agricultural Equipment Engineering, Jiangsu University, Zhenjiang 212013, China
  • Received:2018-09-26 Revised:2018-11-18 Online:2019-10-27 Published:2019-09-26
  • Contact: LI Jianlong.E-mail:jlli2008@nju.edu.cn;SHI Aiping,shap@ujs.edu.cn E-mail:jlli2008@nju.edu.cn;shap@ujs.edu.cn
  • Supported by:

    Under the auspices of Asia Pacific Network for Global Change Research (APN), Global Change Fund Project (No. ARCP2015-03CMY-Li), National Natural Science Foundation of China (No. 41271361, 41501575), National Key Research and De-velopment Project (No. 2018YFD0800201), Key Project of Chinese National Programs for Fundamental Research and Development (No. 2010CB950702)

摘要:

Understanding the net primary productivity (NPP) of grassland is crucial to evaluate the terrestrial carbon cycle. In this study, we investigated the spatial distribution and the area of global grassland across the globe. Then, we used the Carnegie-Ames-Stanford Approach (CASA) model to estimate global grassland NPP and explore the spatio-temporal variations of grassland NPP in response to climate change from 1982 to 2008. Results showed that the largest area of grassland distribution during the study period was in Asia (1737.23×104 km2), while the grassland area in Europe was relatively small (202.83×104 km2). Temporally, the total NPP increased with fluctuations from 1982 to 2008, with an annual increase rate of 0.03 Pg C/yr. The total NPP experienced a significant increasing trend from 1982 to 1995, while a decreasing trend was observed from 1996 to 2008. Spatially, the grassland NPP in South America and Africa were higher than the other regions, largely as a result of these regions are under warm and wet climatic conditions. The highest mean NPP was recorded for savannas (560.10 g C/(m2·yr)), whereas the lowest was observed in open shrublands with an average NPP of 162.53 g C/(m2·yr). The relationship between grassland NPP and annual mean temperature and annual precipitation (AMT, AP, respectively) varies with changes in AP, which indicates that, grassland NPP is more sensitive to precipitation than temperature.

关键词: Carnegie-Ames-Stanford Approach (CASA), net primary productivity (NPP), spatio-temporal dynamic, climate variation, grassland ecosystems

Abstract:

Understanding the net primary productivity (NPP) of grassland is crucial to evaluate the terrestrial carbon cycle. In this study, we investigated the spatial distribution and the area of global grassland across the globe. Then, we used the Carnegie-Ames-Stanford Approach (CASA) model to estimate global grassland NPP and explore the spatio-temporal variations of grassland NPP in response to climate change from 1982 to 2008. Results showed that the largest area of grassland distribution during the study period was in Asia (1737.23×104 km2), while the grassland area in Europe was relatively small (202.83×104 km2). Temporally, the total NPP increased with fluctuations from 1982 to 2008, with an annual increase rate of 0.03 Pg C/yr. The total NPP experienced a significant increasing trend from 1982 to 1995, while a decreasing trend was observed from 1996 to 2008. Spatially, the grassland NPP in South America and Africa were higher than the other regions, largely as a result of these regions are under warm and wet climatic conditions. The highest mean NPP was recorded for savannas (560.10 g C/(m2·yr)), whereas the lowest was observed in open shrublands with an average NPP of 162.53 g C/(m2·yr). The relationship between grassland NPP and annual mean temperature and annual precipitation (AMT, AP, respectively) varies with changes in AP, which indicates that, grassland NPP is more sensitive to precipitation than temperature.

Key words: Carnegie-Ames-Stanford Approach (CASA), net primary productivity (NPP), spatio-temporal dynamic, climate variation, grassland ecosystems