:Assessing the Dynamics of Grassland Net Primary Productivity in Response to Climate Change at the Global Scale论文

:Assessing the Dynamics of Grassland Net Primary Productivity in Response to Climate Change at the Global Scale论文

本文主要研究内容

作者(2019)在《Assessing the Dynamics of Grassland Net Primary Productivity in Response to Climate Change at the Global Scale》一文中研究指出: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 km~2), while the grassland area in Europe was relatively small(202.83 × 10~4 km~2). 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/(m~2·yr)), whereas the lowest was observed in open shrublands with an average NPP of 162.53 g C/(m~2·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.

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 km~2), while the grassland area in Europe was relatively small(202.83 × 10~4 km~2). 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/(m~2·yr)), whereas the lowest was observed in open shrublands with an average NPP of 162.53 g C/(m~2·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.

论文参考文献

  • [1].Relationships between tree-ring width index and NDVI of grassland in Delingha[J]. HE Jicheng1,3 & SHAO Xuemei1,21. Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; 2. Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing 100085, China; 3. Graduate School of Chinese Academy of Sciences, Beijing 100039, China.  Chinese Science Bulletin.2006(09)
  • [2].History,Current Status and Trends of the Investigation for Grassland Plant Resources at Home and Abroad[J]. Zhao Yan.  Animal Husbandry and Feed Science.2017(02)
  • [3].Evaluating the grassland net primary productivity of southern China from 2000 to 2011 using a new climate productivity model[J]. SUN Cheng-ming,ZHONG Xiao-chun,CHEN Chen,GU Ting,CHEN Wen.  Journal of Integrative Agriculture.2016(07)
  • [4].Spatiotemporal dynamic simulation of grassland carbon storage in China[J]. ZHANG Li,ZHOU GuangSheng,JI YuHe,BAI YongFei.  Science China(Earth Sciences).2016(10)
  • [5].Ecological pressures on grassland ecosystems and their conservation strategies in Northern China[J]. Zhirong Zheng,Chaoyang Feng,Shengxing Ye,Zhaoyan Diao,Shihai Lü.  Chinese Journal of Population,Resources and Environment.2015(01)
  • [6].What determine herder households’ sustainable grassland management behaviors in western China?[J]. TAN Shu-hao,TAN Zhong-chun.  Ecological Economy.2014(02)
  • [7].Characteristics of grassland degradation and driving forces in the source region of the Yellow River from 1985 to 2000[J]. LIU Linshan1,2, *ZHANG Yili1, BAI Wanqi1, YAN Jianzhong1,3, DING Mingjun1,2, SHEN Zhenxi1, LI Shuangcheng4, ZHENG Du1 (1. Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China; 2. Graduate School of the Chinese Academy of Sciences, Beijing 100039, China; 3. College of Resources and Environment, Southwest University, Chongqing 400716, China; 4. Peking University, Beijing 100871, China).  Journal of Geographical Sciences.2006(02)
  • [8].Ecological dynamic model of grassland and its practical verification[J]. SHEN Samuel S.P..  Science in China(Series C:Life Sciences).2005(01)
  • [9].Application of Self-pressure Sprinkler Irrigation Technology to Grassland Vegetation Restoration in Alpine Arid Areas[J]. DORJHEE Towndrob,BASANG Chilie,LIU Yu.  Journal of Landscape Research.2016(06)
  • [10].A study of parameter uncertainties causing uncertainties in modeling a grassland ecosystem using the conditional nonlinear optimal perturbation method[J]. SUN GuoDong,XIE DongDong.  Science China(Earth Sciences).2017(09)
  • 论文详细介绍

    论文作者分别是来自Chinese Geographical Science的,发表于刊物Chinese Geographical Science2019年05期论文,是一篇关于,Chinese Geographical Science2019年05期论文的文章。本文可供学术参考使用,各位学者可以免费参考阅读下载,文章观点不代表本站观点,资料来自Chinese Geographical Science2019年05期论文网站,若本站收录的文献无意侵犯了您的著作版权,请联系我们删除。

    标签:;  

    :Assessing the Dynamics of Grassland Net Primary Productivity in Response to Climate Change at the Global Scale论文
    下载Doc文档

    猜你喜欢