论文

基于潜在植被的中国陆地生态系统对气候变化的脆弱性定量评价

展开
  • 1 中国气象局国家气候中心,北京 100081
    2 中国科学院地理科学与资源研究所,北京 100101

收稿日期: 2007-07-18

  录用日期: 2007-11-23

  网络出版日期: 2008-05-30

基金资助

中国科学院创新团队国际合作伙伴计划“人类活动与生态系统变化”(CXTD-Z2005-1);国家重点基础研究发展规划项目(2002CB412507)

QUANTITATIVE ASSESSMENT OF THE VULNERABILITY OF TERRESTRIAL ECOSYSTEMS OF CHINA TO CLIMATE CHANGE BASED ON POTENTIAL VEGETATION

Expand
  • 1National Climate Center, Chinese Meteorological Administration, Beijing 100081, China
    2Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China

Received date: 2007-07-18

  Accepted date: 2007-11-23

  Online published: 2008-05-30

摘要

陆地生态系统对气候变化的响应及其脆弱性评价研究是当前全球变化领域的重要内容之一。该研究在生态系统过程模型的基础上,耦合了潜在植被对气候变化的动态响应,模拟气候变化对潜在植被分布格局和生态系统主要功能的影响,以潜在植被的变化次数和变化方向定义植被分布对气候变化的敏感性和适应性,以生态系统功能特征量的年际变率及其变化趋势定义生态系统功能对气候变化的敏感性和适应性,进而对生态系统的脆弱性进行定量评价,分析不同气候条件下我国陆地生态系统的脆弱性分布格局及其区域特点。结果表明,我国自然生态系统气候脆弱性的总体特点为南低北高、东低西高,气候变化将会增加系统的脆弱性。采用政府间气候变化委员会排放情景特别报告国内和区域资源情景,即IPCC-SRES-A2气候情景进行的预测模拟表明,到21世纪末我国不脆弱的生态系统比例将减少22%左右,高度脆弱和极度脆弱的生态系统所占的比例较当前气候条件下分别减少1.3%和0.4%。气候变化对我国陆地生态系统的脆弱性分布格局影响不大。不同气候条件下,高度脆弱和极度脆弱的自然生态系统主要分布在我国内蒙古、东北和西北等地区的生态过渡带上及荒漠-草地生态系统中。总体而言,华南及西南大部分地区的生态系统脆弱性将随气候变化而有所增加,而华北及东北地区则有所减小。

本文引用格式

於琍, 曹明奎, 陶波, 李克让, 董文杰, 刘洪滨, 刘长友 . 基于潜在植被的中国陆地生态系统对气候变化的脆弱性定量评价[J]. 植物生态学报, 2008 , 32(3) : 521 -530 . DOI: 10.3773/j.issn.1005-264x.2008.03.001

Abstract

Aims Assessment of the sensitivity and vulnerability of terrestrial ecosystem to climate change is one of the most important aspects of global change research. Our objective was to develop a new approach to assessing the vulnerability of terrestrial ecosystem using a process-based ecosystem model.

Methods We developed a new quantitative approach to assess vulnerability of terrestrial ecosystems based on an ecosystem process model with two aspects: vegetation changes and ecosystem function changes. In accordance with the definition of vulnerability used by the Intergovernmental Panel on Climate Change (IPCC), we used change times and changing direction of vegetation as key indicators of sensitivity and adaptation of vegetation responses to climate change. We also used the function's annual variability and its trend as indicators of sensitivity and adaptation of ecosystem functions response to climate change, respectively. Based on these indicators, the integrated vulnerability was determined, including assessment under the contemporary climate condition and future climate change scenarios.

Important findings The more vulnerable ecosystems were found in the north and west areas of China, with less vulnerable ecosystems mostly in the south and east. The vulnerability of ecosystems would increase with climate change, but the pattern of vulnerability would be little changed by the end of this century, depending on the scenarios. The percentage of non-vulnerable ecosystems would be reduced by about 22%, and the highly and exceedingly vulnerable ecosystems would be reduced by about 1.3% and 0.4%, respectively. Most highly vulnerable ecosystems are distributed in northwestern China, Inner Mongolia, south of the Tibet Plateau and some areas of northern and northeastern China, both under contemporary climate condition and the future climate change scenarios, and they were mainly scattered in transition eco-zones and grassland-desert ecosystems in northwestern China. When investigated regionally, the vulnerability would increase in southern, central, northwestern and southwestern China, but vulnerability would decrease in northern and northeastern China and Inner Mongolia of China.

参考文献

[1] Andrei PK, Allen MS (1998). Modeling dynamic vegetation response to rapid climate change using bioclimatic classification. Climatic Change, 38,15-49.
[2] Bachelet D, James ML, Daly C, Neilson PR, Dennis SD, William JP (2001). MC1: a dynamic vegetation model for estimating the distribution of vegetation and associated ecosystem fluxes of carbon. Nutrients, and Water Technical Documentation, Version 1.0. Portland, Oregon: U.S. Forest Service,PNW-GTR-508.
[3] Cai YL (1997). Vulnerability and adaptation of Chinese agriculture to global climate change. Chinese Geographical Science, 4,289-301.
[4] Cao MK, Prince SD, Li KR, Small X, Shao XM (2003). Response of terrestrial carbon uptake to climate interannual variability in China. Global Change Biology, 9,536-546.
[5] Cao MK, Woodward FI (1998). Dynamic responses of terrestrial ecosystem carbon cycling to global climate change. Nature, 93,249-252.
[6] Ge DK (葛道阔), Jin ZQ (金之庆), Shi CL (石春林), Gao LZ (高亮之) (2002). Gradual impacts of climate change on rice production and adaptation strategies in Southern China. Jiangsu Journal of Agricultural Sciences (江苏农业学报), 18 (1),1-8. (in Chinese with English abstract)
[7] Hansen JA, Neilson PR, Dale HV, Flather HC (2001). Global change in forests: responses of species, communities, and biomes. BioScience, 151,765-779.
[8] Hansen MC, Defries RS, Townsgend JRG (2000). Global land cover classification at 1 km spatial resolution a classification tree approach. International Journal of Remote Sensing,6- 7,1331-1364.
[9] Hou YH (侯亚红), Liu WQ (刘文泉) (2003). Forecast of changes in climate vulnerability of agricultural production in the Loess Plateau in China. Journal of Catastrophology (灾害学), 8,34-90. (in Chinese with English abstract)
[10] Huq S, Karim Z, Asaduzzaman M, Mahtab F (1999). Vulnerability and Adaptation to Climate Change for Bangladesh. Kluwer Academic Pubilshers, Chapman & Hall, USA.
[11] IPCC Intergovernmental Panel on Climate Change (2001). Climate Change in 2001: the Science of Climate Change. Cambridge University Press, Cambridge.
[12] IPCC Intergovernmental Panel on Climate Change (2007). Climate Change in 2007: the Science of Climate Change. Cambridge University Press, Cambridge.
[13] Landres PB (1999). Overview of the use of natural variability concepts in managing ecological systems. Ecological Applications, 9,1179-1188.
[14] Li KR (李克让), Cao MK (曹明奎), Yu L (於王利), Wu SH (吴绍洪) (2005). Assessment of vulnerability of natural ecosystems in China under the changing climate. Geographical Research (地理研究), 5,653-663. (in Chinese with English abstract)
[15] Li KR (李克让), Chen YF (陈育峰) (1996). Analysis of vulnerability of forests in China responsed to global climate change. Acta Geographica Sinica (地理学报), 51 (Suppl.),40-49. (in Chinese with English abstract)
[16] Li XB (李晓兵), Chen YH (陈云浩), Zhang YX (张云霞), Fan DY (范大一), Zhou T (周涛), Xie F (谢锋) (2002). Impact of climate change on desert steppe in northern China. Advances in Earth Science (地球科学进展), 17,253-261. (in Chinese with English abstract)
[17] Lin ED (1996). Agricultural vulnerability and adaptation to global warming in China. Water,Air and Soil Pollution, (1- 2),63-73.
[18] Liu CZ (刘春蓁) (1999). On some issues in studying climate change impact and adaptation. Climatic and Environmental Research (气候与环境研究), 4,129-134. (in Chinese with English abstract)
[19] Liu GH (刘国华), Fu BJ (傅伯杰) (2001). Effects of global climate change on forest ecosystems. Journal of Natural Resource (自然资源学报), 16,71-78. (in Chinese with English abstract)
[20] Liu LL (刘绿柳) (2002). Concept and quantitative assessment of vulnerability of water resource. Bulletin of Soil and Water Conservation (水土保持通报), 2(2),41-45. (in Chinese with English abstract)
[21] Liu WQ (刘文泉) (2002). Primary discuss of methods for the assessment of agricultural vulnerability to climate change. Journal of Nanjing Institute of Meteorology (南京气象学院学报), 2,214-220. (in Chinese with English abstract)
[22] Liu YH (刘燕华) (1995). Classification and indicator system of critical environment in China. In: Zhao GJ (赵桂久), Liu YH (刘燕华), Zhao MC (赵名茶) eds. Synthesis Renovation and Resume of Eco-Environment (生态环境综合整治). Beijing Science and Technology Press, Beijing, 8-17. (in Chinese)
[23] Llody IC, Adams D, Alig R, Betz JC (2001). Assessing socioeconomic impacts of climate change on US forests, wood-product markets, and forest recreation. BioScience, 51,753-764.
[24] Luers LA, Lobell BD, Sklar SL, Addams LC (2003). A method for quantifuing vulnerability, applied to the agricultural system of the Yaqui Valley, Mexico. Global Environmental Change, 13,255-276.
[25] Minnen JG, Onigkeit J, Alcamo J (2002). Critical climate change as an approach to assess climate change impacts in Europe: development and application. Environmental Science & Policy, 5,335-347.
[26] Ni J (2002). A biome classification of china based on plant functional types and the BIOME3 model. Folia Geobotanica, 36,113-129.
[27] Prentice C, Sykes TM, Cramer W (1993). A simulation model for the transient effects of climate change on forest landscapes. Ecological Modelling, 65,51-70.
[28] Ran SH (冉圣宏), Jin JJ (金建君), Zeng SF (曾思育) (2001). Division of vulnerable ecology region type and analysis of its characteristics. China Population Resources and Environment (中国人口资源与环境), 11,73-77. (in Chinese with English abstract)
[29] Tang GP (唐国平), Li XB (李秀彬), Liu YH (刘燕华) (2000). Assessment method of vulnerability of water resources under global climate change. Advances in Earth Science (地球科学进展), 3,313-317. (in Chinese with English abstract)
[30] Tao B, Cao MK, Li KR, Ji JJ, Huang M (2007). The spatial patterns and variations of net primary productivity in China in the period of 1981-2000. Science in China (Series D), 50,745-753.
[31] Turner BL, Matson AP, James JM, Robert WC, Lindsey C, Noelle E, Grete HB, Jeanne XK, Roger EK, Amy L, Marybeth LM, Svein M, Rosamond N, Colin P, Alexander P, Andrew S, Henrik S, Nicholas T (2003). Science and technology for sustainable development special feature: illustrating the coupled human-environment system for vulnerability analysis: three case studies. Proceedings of the National Academy of Sciences of the United States of America, 100,8080-8085.
[32] Weng ES (翁恩生), Zhou GS (周广胜) (2005). Defining plant functional types in China for global change studies. Acta Phytoecologica Sinica, 1,81-97. (in Chinese with English abstract)
[33] Woodward IF, Thomas MS, William RE (1995). A global land primary productivity and phytogeography model. Global Biogeochemical Cycles, 9,471-490.
[34] Wu SH, Dai EF, Huang M, Shao XM, Li SC, Tao B (2007). Ecosystem vulnerability of China under B2 climate scenario in the 21st century. Chinese Science Bulletin, 52,1379-1386.
[35] Yu L (於王利), Cao MK (曹明奎), Li KR (李克让) (2005). An overview of assessment of ecosystem vulnerability to climate change. Progress in Geography (地理科学进展), 1,61-69. (in Chinese with English abstract)
[36] Yu L, Cao MK, Li KR (2006). Climate-induced changes in the vegetation pattern of China in the 21st century. Ecological Research, 6,908-912.
[37] Zhao MS (赵茂盛), Neilson RP, Yan XD (延晓冬), Dong WJ (董文杰) (2002). Modelling the vegetation of China under changing climate. Acta Geographica Sinica (地理学报), 57,28-38. (in Chinese with English abstract)
[38] Zhao YL (赵跃龙), Zhang JL (张玲娟) (1998). Study on method of quantitative assessment of fragile environment. Acience Geographica Sinica (地理学报), 1,67-72. (in Chinese with English abstract)
文章导航

/