Analysis of Vulnerable Characteristics in Chinese Northern Farming-Pastoral Region Based on Coordinated Regional Downscaling Experiment

doi:10.13209/j.0479-8023.2017.123

Abstract

Abstract:

Based on the grid data set of temperature and precipitation of China (0.5°×0.5°) and the output of coordinated regional downscaling experiment (CORDEX) East Asia, including the climate prediction based on RCP4.5 and RCP 8.5, the authors simulate and analyze vulnerability in Chinese northern farming-pastoral region from 1980 to 2100 with temperature, precipitation and maximum near-surface wind speed. The results show that the ecologically vulnerability in Chinese northern farming-pastoral region increases during 2006-2100, especially after 2050, the increase speed rises rapidly. By the end of 21st century, almost all the Chinese northern farming-pastoral region shows at least obvious vulnerability. Said on the space, the vulnerability is severe from Zhongwei to north of Hohhot, however, it’s better in north Great Khingan.

Key words: Chinese northern farming-pastoral region, vulnerability, coordinated regional downscaling experi-ment (CORDEX)

摘要：

基于中国地面降水和气温0.5°×0.5°格点数据集以及区域协同降尺度试验东亚地区项目组RCP4.5和RCP8.5情景下未来气候预估数据, 对中国北方农牧交错带1980—2100年的气候脆弱性进行模拟和分析。结果表明, 北方农牧交错带气候脆弱性在未来的100年中整体上呈现增大的趋势, 特别是2050年后, 增大速度进一步加剧, 到21世纪末, 几乎整个北方农牧交错带都表现出明显脆弱性。从宁夏中卫到呼和浩特北部一带, 脆弱性形势较为严峻, 而大兴安岭北部地区脆弱性程度较低。

关键词: 中国北方农牧交错带, 脆弱性, 区域协同降尺度实验

Yimin ZHOU, Ang ZHANG, Xinyi ZHAO. Analysis of Vulnerable Characteristics in Chinese Northern Farming-Pastoral Region Based on Coordinated Regional Downscaling Experiment[J]. Acta Scientiarum Naturalium Universitatis Pekinensis, 2017, 53(6): 1099-1107.

周一敏, 张昂, 赵昕奕. 未来气候变化情景下中国北方农牧交错带脆弱性评估[J]. 北京大学学报自然科学版, 2017, 53(6): 1099-1107.

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URL: https://xbna.pku.edu.cn/EN/10.13209/j.0479-8023.2017.123

https://xbna.pku.edu.cn/EN/Y2017/V53/I6/1099

Figures/Tables 13

Fig. 1 Sketch map of northern farming-pastoral region

Table 1 Basic information of 5 regional climate models

区域气候模式	全球气候模式	历史数据集	未来情景数据		每年天数
区域气候模式	全球气候模式	历史数据集	RCP4.5	RCP8.5	每年天数
HadGEM-RA	HadGEM2-AO	1950—2005年	2006—2010年	2006—2010年	360
MM5	HadGEM2-AO	1979—2005年	2006—2049年	2006—2035年	365/366
RegCM4	HadGEM2-AO	1979—2005年	2006—2050年	2006—2050年	360
RSM	HadGEM2-AO	1980—2005年	2006—2050年	2006—2050年	360
WRF	HadGEM2-AO	1981—2005年		2006—2049年	365/366

Table 2 Ecological vulnerability degree index

Eco取值范围	脆弱程度
Eco<1.0	非脆弱性
1.0 ≤ Eco<1.5	潜在脆弱性
1.5 ≤ Eco<3.0	明显脆弱性
3.0 ≤ Eco	极端脆弱性

Fig. 2 Average temperature and precipitation of northern farming-pastoral region

Fig. 3 26 year average Eco index of northern farming-pastoral region

Fig. 4 Eco index from 1980 to 2100 of 5 regional climate models

Fig. 5 Eco index of 5 regional climate models in RCP4.5

Fig. 6 Eco index of 5 regional climate models in RCP8.5

Fig. 7 Eco index of 5 regional climate models in history

Fig. 8 Eco index of 5 regional climate models difference with the average Eco from 1980 to 2005 in RCP4.5

Fig. 9 Eco index of 5 regional climate models difference with the average Eco from 1980 to 2005 in RCP8.5

Fig. 10 Eco index of CMA and 5 regional climate models in RCP4.5

Fig. 11 Eco index of CMA and 5 regional climate models in RCP8.5

References 22

[1]	IPCC. Climate change 2013: the scientific basis. Contribution of Working Group I to the fifth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge: Cambridge University Press, 2013
[2]	叶笃正. 中国的全球变化预研.北京: 气象出版社, 1992
[3]	葛全胜, 方修琦, 张雪芹, 等. 20世纪下半叶中国地理环境的巨大变化. 地理研究, 2005, 24(3): 345-358
[4]	Li Kerang, Lin Xianchao.Drought in China: present impacts and future needs // Wilhite D A. Drought assessment, management, and planning: theory and case studies. New York: Springer US, 1993: 263-289
[5]	郑度, 杨勤业, 顾钟熊. 黄秉维地理学术思想及其实践. 地理研究, 2003, 22(2): 133-139
[6]	赵昕奕, 蔡运龙. 区域土地生产潜力对全球气候变化的响应评价——以中国北方农牧交错带中段为例. 地理学报, 2003, 58(4): 584-590
[7]	Huang A, Zhou Y, Zhang Y, et al.Changes of the annual precipitation over central asia in the twenty-first century projected by multimodels of CMIP5. Journal of Climate, 2014, 27(17): 6627-6646
[8]	Hu K, Huang G, Zheng X, et al.Interdecadal variations in ENSO influences on Northwest Pacific-East Asian early summertime climate simulated in CMIP5 models. Journal of Climate, 2014, 27(15): 5982-5998
[9]	高超, 张正涛, 陈实等. RCP4.5 情景下淮河流域气候变化的高分辨率模拟. 地理研究, 2014, 33(3): 467-477
[10]	江志红, 张霞, 王冀. IPCC-AR4 模式对中国21世纪气候变化的情景预估. 地理研究, 2008, 27(4): 787-799
[11]	陶辉, 白云岗, 毛炜峄. CMIP3 气候模式对北疆气候变化模拟评估及未来情景预估. 地理研究, 2012, 31(4): 3-7
[12]	Birkmann J.Measuring vulnerability to natural ha-zards. Tokyo: United Nations University Press, 2006
[13]	Smith B, Pilifosova O.From adaptation to adaptive capacity and vulnerability reduction // Smith J B, Klein R J T, Huq S. Climate change, adaptive capacity and development. London: Imperial College Press, 2003: 9-28
[14]	Metzger M J, Rounsevel M D A, Acosta-Michlik L, et al. The vulnerability of ecosystem services to land use change. Agriculture, Ecosystems and Environment, 2006, 114(1): 69-85
[15]	Smit B, Burton I, Klein R J T, et al. The science of adaptation: a framework for assessment. Mitigation and Adaptation Strategies for Global Change, 1999, 4(3/4): 199-213
[16]	牛文元. 生态环境脆弱带 ECOTONE 的基础判定. 生态学报, 1989, 9(2): 97-105
[17]	刘燕华, 李秀彬. 脆弱生态环境可持续发展. 北京: 商务印书馆, 2001
[18]	蒙吉军, 张彦儒, 周平. 中国北方农牧交错带生态脆弱性评价——以鄂尔多斯市为例. 中国沙漠, 2010, 30(4): 850-856
[19]	孙小明, 赵昕奕. 气候变化背景下我国北方农牧交错带生态风险评价. 北京大学学报(自然科学版), 2009, 45(4): 713-720
[20]	何磊. 气候变化对北方农牧交错带农业生产脆弱性的影响研究[D]. 南京: 南京信息工程大学, 2007
[21]	罗承平, 薛纪瑜. 中国北方农牧交错带生态环境脆弱性及其成因分析. 干旱区资源与环境, 1995, 9(1): 1-7
[22]	崔海亭, 王静爱, 朱宗元. 土地利用与景观变化.北京: 中国环境出版社, 2016