全球变暖是当前人类社会面临的主要环境问题,对同一区域不同生态系统气温变化差异的认知,是服务于当地生态环境评价和经济建设规划的基础。以1961-2012年的气温数据为基础,用Mann-Kendall(M-K)秩次相关法对中国东北地区纬度相差极小的农业(海伦站)、森林(博克图站)、草甸草原(海拉尔站)、干草原(满洲里站)4类生态系统的气温变化进行了比较分析。结果表明:(1)1961-2012年东北地区主要生态系统年最高气温变化趋势最显著,其次是年平均气温,年最低气温变化趋势不显著。(2)不同生态系统年平均气温、年最高气温、年最低气温的变化趋势具有一致性,同一生态系统年平均气温、年最高气温和年最低气温的变化趋势存在差异。(3)从年平均气温来看,草甸草原生态系统变化趋势最显著,气温变化率最大(0.44℃/10a),发生气温突变的时间最早;从年最高气温来看,农业生态系统一直呈上升趋势,20世纪90年代后期上升趋势显著,气温突变点出现的时间最早。
Global warming is a major environmental problem in recent social development of human being. And to best understanding variant aspect of the temperature risen in different ecosystems is also a foundation for serving the local ecology and environmental assessment and economic planning in regional scale. Then, this paper employed Rank Correlation Methods (Mann-Kendall test) to analyze temperature change trends comparatively among different ecosystems (Agricultural ecosystem/Forest ecosystem/Dry grassland ecosystem/Meadow steppe ecosystem) based on annual mean temperature data from 1961 to 2012 in the Northeast of China. Among them, the forest ecosystem reflects the features of mountain area; Dry grassland ecosystem reflects characteristics of the plateau in the Eurasian steppe eastern; Meadow steppe ecosystem reflects transition zone characteristics between the forest and steppe; Agricultural ecosystem reflects the characteristics of the northern of the Northeast plain. Effect of zonal latitude basic excluded, the temperature change is one of the important indexes of main ecosystem environment change in Northeast china in recent decades. Results showed that the change of annual highest temperature was the most significant; the second was annual mean temperature; the last was annual minimum temperature. It had a very good consistency in the temperature change trend among different ecosystems, while change trend of the 3 index was different in the same one. Annual mean temperature of meadow steppe ecosystem was the most significant; Rate of rise was the largest (0.44/10a) and abrupt point was the earliest. Annual highest temperature of agricultural ecosystem has been on the rise, especially the tendency was more significant in the 1990s, and abrupt point was the earliest.
[1] 秦大河,罗勇,陈振林,等.气候变化科学的最新进展:IPCC第四次评估综合报告解析[J].气候变化研究进展,2007,3(6):311-314.
[2] 赵传成,王雁,丁永建,等.西北地区近50年气温及降水的时空变化[J].高原气象,2011,30(2):385-390.
[3] 孙凤华,任国玉,赵春雨,等.中国东北地区及不同典型下垫面的气温异常变化分析[J].地理科学,2005,25(2):167-171.
[4] Brohan P,Kennedy J J,Harris I,et al.Uncertainty estimates in regional and global observed temperature changes:a new dataset from 1850[J].Journal of Geophysical Research:Atmospheres,2006,111:D12.
[5] 章名立,曾昭美,季劲钧.全球增暖过程中亚洲东部区域气候的特点[J].地理学报,1996(6):518-526.
[6] 郭志梅,缪启龙,李雄.中国北方地区近50年来气温变化特征及其突变性[J].干旱区地理,2005,28(2):176-182.
[7] Fang S F,Yan J W,Che M L,et al.Climate change and the ecological responses in Xinjiang,China:model simulations and data analyses[J].Quaternary International,2013,311:108-116.
[8] Wang Q X,Fan X H,Qin Z D,et al.Change trends of temperature and precipitation in the Loess Plateau Region of China,1961-2010[J].Global and Planetary Change,2012,92/93:138-147.
[9] 孙凤华,袁健,路爽.东北地区近百年气候变化及突变检测[J].气候与环境研究,2006,11(1):101-108.
[10] 王玮,常学礼,刘良旭,等.1961-2010年中国东北半干旱区东界变化趋势分析[J].中国沙漠,2013,33(2):382-389.
[11] Li Z X,He Y Q,Wang C F,et al.Spatial and temporal trends of temperature and precipitation during 1960-2008 at the Hengduan Mountains[J].Quaternary International,2011,236:127-142.
[12] Dong S Y,Yan X D,Xiong Z.Varying responses in mean surface air temperature from land use/cover change in different seasons over northern China[J].Acta Ecologica Sinica,2013,33:167-171.
[13] 高妍,冯起,李宗省,等.祁连山讨赖河流域1957-2012年极端气候变化[J].中国沙漠,2014,34(3):814-826.
[14] 董满宇,吴正方,江源.近百年来中国东北与日本北海道地区气温变化对比[J].地理科学,2009,29(5):684-689.
[15] 左洪超,吕世华,胡隐樵.中国近50年气温及降水量的变化趋势分析[J].高原气象,2004,23(2):238-244.
[16] Soon W,Dutta K,Legates D R,et al.Variation in surface air temperature of China during the 20th century[J].Journal of Atmospheric and Solar-Terrestrial Physics,2011,73:2331-2344.
[17] Zhang Q,Li J F,Singh V P,et al.Spatio-temporal relations between temperature and precipitation regimes:Implications for temperature-induced changes in the hydrological cycle[J].Global and Planetary Change,2013,111:57-76.
[18] 王媛媛,张勃.陇东地区近51 a气温时空变化特征[J].中国沙漠,2012,32(5):1402-1407.
[19] Yang Y H,Tian F.Abrupt change of runoff and its major driving factors in Haihe River Catchment,China[J].Journal of Hydrology,2009,374:373-383.
[20] Hamed K H.Exact distribution of the Mann-Kendall trend test statistic for persistent data[J].Journal of Hydrology,2009,365:86-94.
[21] Xu Z X,Li J Y,Liu C M.Long-term trend analysis for major climate variables in the Yellow River basin[J].Hydrological Processes,2007,21:1935-1948.
[22] 康淑媛,张勃,柳景峰,等.基于Mann-Kendall法的张掖市降水量时空分布规律分析[J].资源科学,2009,31(3):501-508.
[23] 董满宇,吴正芳.近50年来东北地区气温变化时空特征分析[J].资源科学,2008,30(7):1093-1099.
[24] 王菱,谢贤群,苏文,等.中国北方地区50年来最高和最低气温的变化及其影响[J].自然资源学报,2004,19(3):337-343.
[25] 于延胜,陈兴伟.基于Mann-Kendall 法的水文序列趋势成分比重研究[J].自然资源学报,2011,26(9):1565-1591.
[26] 杜予罡,唐国利,王元.近100年中国地表平均气温变化的误差分析[J].高原气象,2012,31(2):456-462.