地理学报 ›› 2018, Vol. 73 ›› Issue (1): 54-66.doi: 10.11821/dlxb201801005

• 气候变化 • 上一篇    下一篇

气候要素及El Niño/La Niña事件对中国陆地NPP变化的影响

崔林丽1(),史军2,肖风劲3   

  1. 1. 上海市气象科学研究所,上海 200030
    2. 上海市气候中心,上海 200030
    3. 国家气候中心,北京 100081
  • 收稿日期:2017-07-24 出版日期:2018-01-31 发布日期:2018-01-31
  • 基金资助:
    国家自然科学基金项目(41571044, 41001283);国家重点研发计划(2017YFD0300201);省部共建亚热带森林培育国家重点实验室开放基金(KF2017-5);中国气象局气候变化专项(CCSF201716)

Impacts of climatic factors and El Niño/La Niña events on the changes of terrestrial ecosystem NPP in China

CUI Linli1(),SHI Jun2,XIAO Fengjin3   

  1. 1. Shanghai Institute of Meteorological Science, Shanghai Meteorological Bureau, Shanghai 200030, China
    2. Shanghai Climate Center, Shanghai Meteorological Bureau, Shanghai 200030, China
    3. National Climate Center, China Meteorological Administration, Beijing 100081, China
  • Received:2017-07-24 Online:2018-01-31 Published:2018-01-31
  • Supported by:
    National Natural Science Foundation of China, No.41571044, No.41001283;National Key Research and Development Program of China, No.2017YFD0300201;Open Research Fund Program of the State Key Laboratory of Subtropical Silviculture, No.KF2017-5;Climate Change Special Fund of the China Meteorological Administration, No.CCSF201716

摘要:

植被净初级生产力(NPP)是表征陆地生态系统碳循环的重要指标,也是人类社会赖以生存与发展的物质基础。基于遥感—过程耦合模型(GLOPEM-CEVSA模型)模拟的中国区域NPP数据和气象站点观测资料以及厄尔尼诺/拉尼娜(El Ni?o/La Ni?a)事件信息,利用GIS空间分析技术和数理统计方法研究了中国植被NPP的时空格局、动态变化以及气候要素和El Ni?o/La Ni?a气候事件对其影响。结果表明,1982-2011年,中国植被NPP总体上以5.66 gCm-2(10a)-1的趋势增长,空间上,植被NPP在中国西部和东北北部、东部地区增加,而在东北中部、华北平原、内蒙中东部、长三角和珠三角地区减少。中国江淮地区植被NPP的降低与日照时数的减少具有较好的对应关系,在华北地区和新疆北部,NPP的增减取决于降水量的增减。东北地区日照时数的增加和气温的升高则是NPP增加的主要原因。就全国整体而言,在El Ni?o年植被NPP增加的区域略多于减少的区域,在La Ni?a年NPP增加的区域则与减少的区域基本相等,日照时数是造成El Ni?o年与La Ni?a年植被NPP差异的主要气候因子。未来需要更加关注辐射、极端气候事件以及人为空气污染对中国不同地区植被的影响。

关键词: 净初级生产力, 时空演变, 气候影响, 厄尔尼诺/拉尼娜事件, 中国

Abstract:

Net primary productivity (NPP) is one of the most important indicators of terrestrial ecosystem carbon cycle, and is also the material basis for the survival and development of human society. Therefore it plays an important role in the global environment change and the development and utilization of natural resources. Based on the simulated NPP data from GLOPEM-CEVSA model, air temperature, precipitation and sunshine hours data from 2043 weather stations as well as El Ni?o/La Ni?a events from 1982 to 2011, the spatial and temporal distributions and dynamic changes of NPP in terrestrial ecosystem were analyzed, and the relationships between NPP and climatic factors and ENSO events in China were examined using the GIS spatial analysis and mathematical statistics methods. Results indicated that vegetation NPP increased at a rate of 5.66 gCm-2 per decade in China during 1982-2011, especially in the 1980s it increased significantly at a linear rate of 50.0 gCm-2 per decade. Spatially, vegetation NPP increased in western China and the northern and eastern parts of Northeast China, whereas it decreased in the central part of Northeast China, North China Plain, the mid-eastern part of Inner Mongolia, the Yangtze River Delta and the Pearl River Delta in the past 30 years. In the Yangtze-Huaihe river basins, the decrease of vegetation NPP and the reduction of sunshine hours had good corresponding relationships, and in northern China and northern Xinjiang, the increase (decrease) of NPP was relied more on the increase (decrease) of precipitation. In Northeast China, the increase of NPP was associated with the increases in sunshine hours and temperature. For China as a whole, in El Ni?o years, regions with the increase of vegetation NPP were slightly larger than those of NPP decrease, but in La Ni?a years regions with the increase of vegetation NPP was basically equal to those of NPP decrease, and sunshine hours was the main climate factor which leads to the differences of vegetation NPP between El Ni?o years and La Ni?a years. More attentions should be paid to the impacts of radiation, extreme climatic events and anthropogenic air pollution on vegetation NPP in different regions of China in future.

Key words: net primary productivity, spatial-temporal evolution, climatic impacts, El Ni?o/La Ni?a events, China