大兴安岭北部典型地区近300 a气候资料反演

doi:10.11934/j.issn.1673-4831.2016.03.016

Abstract

Abstract:

Inversion of historical climate data based on widths of tree-rings is an important foundation for the study on climate change and utilization of climatic resources. A climate reconstruction model was set up based on width of tree-rings of the trees in the Angelin forest farm and the Xinqing forest farm in the northern Daxing'anling Range and their correlations with the temperatures, precipitations and hours of sunshine around the neighboring weather stations, with significance levelbeing over 0.25 and average relative error being below 30%. Results show that among the factors studied in this project, temperature is the major one affecting width of tree-rings the most and hours of sunshine, the least in the region. Among the equations for climatic reconstruction, the equation based on temperature is the highest in significance level, while the equation based on hours of sunshine, the lowest. The simulation using factors, like hours of sunshine is generally lower than 10% in average relative error, while the one using factors, like temperature and precipitation, is lower than 30%. Within the designated scope of conditions, 11, 9 and 11 models are established, respectively, for reconstruction of temperature, precipitation and sunshine data of the region, respectively, and can be used to inverse the climate data of the years from 1707 (1706) to 1959 or from 1866 (1865) to 1959. Consequently, the climate data available for study of the region is greatly expanded to cover about 300 (or 150) years.

Key words: regions typical of the northern Daxing'anling Range, tree ring, climate data, correlation, reconstruction equation

CLC Number:

X16
P467

QU Hui-hui, ZHAO Hui-ying, GONG Li-juan. Inversion of Climate Data of the Past 300 Years of a Region Typical of the Northern Daxing'anling Range[J]. Journal of Ecology and Rural Environment, 2016, 32(3): 439-444.

References

[1] IPCC.Summary for Policymakers of the Synthesis Report of the IPCC Fourth Assessment Report[M].Cambridge,UK:Cambridge University Press,2007:2-22.
[2] 唐国利,任国玉.近百年中国地表气温变化趋势的再分析[J].气候与环境研究,2005,10(4):791-798.
[3] 丁一汇,戴晓苏.中国近百年来的温度变化[J].气象,1994,20(12):19-26.
[4] 李晓娜,贺红士,吴志伟,等.大兴安岭北部森林景观对气候变化的响应[J].应用生态学报,2012,23(12):3227-3235.
[5] 郑淑霞,上官周平.树木年轮与气候变化关系研究[J].林业科学,2006,42(6):100-107.
[6] 康永祥,刘婧辉,孙菲菲,等.太白山高山林县区太白红杉林年轮宽度对气候变化的响应[J].东北林业大学学报,2010,38(8):11-14.
[7] 郑广宇,王文杰,王晓春,等.帽儿山地区兴安落叶松人工树木年轮气候学研究[J].植物研究,2012,32(2):191-197.
[8] 张同文,袁玉江,魏文寿,等.开都河中游地区雪岭云杉林上下限树轮宽度对比及其气候影响分析[J].干旱区地理,2013,36(4):680-690.
[9] 孙凡,钟章成.缙云山四川大头茶树木年轮生长动态与气候因子关系的研究[J].应用生态学报,1999,10(2):151-154.
[10] 王丽丽,邵雪梅,黄磊,等.黑龙江漠河兴安落叶松与樟子松树轮生长特性及其对气候的响应[J].植物生态学报,2005,29(3):380-385.
[11] 康淑媛,杨保.甘肃省南部两种云杉树种树木径向生长对气候因子的响应[J].中国沙漠,2013,33(2):619-625.
[12] 张先亮,何兴元,陈振举,等.大兴安岭山地樟子松径向生长对气候变暖的响应:以满归地区为例[J].应用生态学报,2011,22(12):3101-3108.
[13] 张先亮,崔明星,马艳军,等.大兴安岭库都尔地区兴安落叶松年轮宽度年表及其与气候变化的关系[J].应用生态学报,2010,21(10):2501-2507.
[14] 王雨茜,高露双,赵秀海.长白山山杨年轮年表及其与气候变化的关系[J].东北林业大学学报,2013,41(1):10-13.
[15] 陈列,高露双,张赟,等.长白山北坡不同林型内红松年表特征及其与气候因子的关系[J].生态学报,2013,33(4):1285-1291.
[16] 吴祥定,邵雪梅.树木年轮资料的可靠性分析:以陕西华山松为例[J].地理科学进展,1997,16(1):51-56.
[17] 张同文,袁玉江,魏文寿,等.内蒙古东北部莫尔道嘎地区树轮年表的建立[J].干旱区资源与环境,2009,23(12):177-182.
[18] FRITTS H C.Tree Rings and Climate[M].London:Academic Press,1976:78-132.
[19] 吴祥定.树木年轮与气候变化[M].北京:中国气象出版社,1990:37-97.
[20] 邵雪梅,吴祥定.利用树轮资料重建长白山区过去气候变化[J].第四纪研究,1997,17(1):76-85.
[21] 张同文,袁玉江,魏文寿,等.阿勒泰西部过去近600年夏季气候变化及未来10年趋势预估[J].干旱区资源与环境,2011,25(7):84-90.
[22] 吕姗姗,王晓春.大兴安岭北部阿里河樟子松年轮气候响应及冬季降水重建[J].东北师大学报(自然科学版),2014,46(2):110-116.
[23] 马龙,刘廷玺,寇志强,等.科尔沁沙地榆树生长与水文气象因子的关系及气候重建[J].冰川冻土,2007,29(5):802-807.
[24] 王蔚蔚,张军辉,戴冠华,等.利用树木年轮宽度资料重建长白山地区过去240年秋季气温的变化[J].生态学杂志,2012,31(4):787-793.
[25] 李宗善,刘国华,张齐兵,等.利用树木年轮宽度资料重建川西卧龙地区过去159年夏季温度的变化[J].植物生态学报,2010,34(6):628-641.
[26] 江善虎,任立良,雍斌,等.利用树木年轮重建马鞍山地区7~9月降水量序列[J].河海大学学报(自然科学版),2010,38(1):31-35.
[27] NOJD P,HARI P.The Effect of Temperature on the Radial Growth of Scots Pine in Northernmost Fennoscandia[J].Forest Ecology and Management,2001,142(1/2/3):65-77.
[28] WILCZYNSKI S,SKRZYSZEWSKI J.The Climatic Signal in Tree-Rings of Scots Pine (Pinus sylvestris L.) From Foothills of the Sudetic Mountains (Southern Poland)[J].Forest Research,2002,121(1/2/3):15-24.
[29] PENSA M,SALMINEN H,JALKANEN R.A 250-Year-Long Height-Increment Chronology for Pinus sylvestris at the Northern Coniferous Timberline:A Novel Tool for Reconstructing Past Summer Temperatures[J].Dendrochronologia,2005,22(2):75-81.
[30] TUOVINEN M.Response of Tree-Ring Width and Density of Pinus sylvestris to Climate Beyond the Continuous Northern Forest Line in Finland[J].Dendrochronologia,2005,22(2):83-91.
[31] 马文权,包银香,陈雅娟.莫尔道嘎林业局森林资源现状及发展分析[J].内蒙古林业调查设计,2007,30(6):41-42.

Inversion of Climate Data of the Past 300 Years of a Region Typical of the Northern Daxing'anling Range

PDF (PC)

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Recommended Articles

Metrics

Comments

[1]	LI Qian-nan, LI Gu-cheng, YIN Chao-jing, LIU Fang. Spatial Characteristics of Agricultural Green Total Factor Productivity at County Level in Hebei Province [J]. Journal of Ecology and Rural Environment, 2019, 35(7): 845-852.
[2]	FU Wei, LÜ Yi-he, FU Bo-jie, HU Wei-yin. Landscape Ecological Risk Assessment Under the Influence of Typical Human Activities in Loess Plateau, Northern Shaanxi [J]. Journal of Ecology and Rural Environment, 2019, 35(3): 290-299.
[3]	YEERNAER Humaerhan, XU Xiang-hua, DILINUER Tuoliewubieke, LI Hai-dong. Response of Vegetation Coverage to Climate Change in Altai Mountain Forest and Grassland Ecological Function Area in Xinjiang, China [J]. Journal of Ecology and Rural Environment, 2019, 35(3): 307-315.
[4]	LI Xue-mei, XU Dong-ming. Research on the Spatial Distribution and Correlation of PM2.5 in Beijing-Tianjin-Hebei Urban Agglomeration [J]. Journal of Ecology and Rural Environment, 2019, 35(2): 174-179.
[5]	LI Lin-ye, TIAN Mei-rong, LIANG Hui, CHEN Yan-mei, FENG Chao-yang, QU Kai-yue, QIAN Jin-ping. Spatial and Temporal Changes of Vegetation Coverage and Influencing Factors in Hulun Buir Grassland During 2000-2016 [J]. Journal of Ecology and Rural Environment, 2018, 34(7): 584-591.
[6]	SI Xiong-yuan, XIONG Ke-sheng, XU Hui-min, TAN Hua-rong, SI You-bin. Effects of Sulfonamide-Sulfamethazine on Growth and Physiological Indexes of Brassica campestris and Its Correlation Analysis [J]. Journal of Ecology and Rural Environment, 2018, 34(6): 554-562.
[7]	GU Kang-kang, LIU Xue-xia. Quality Assessment and Spatial Differentiation of Rural Human Settlements in the Counties in Jianghuai Region of Anhui [J]. Journal of Ecology and Rural Environment, 2018, 34(5): 385-392.
[8]	JIANG Qian, YAO Jun-yu, WU Xuan-bei, HAO Jian-feng, PEI Zeng-li, LI Tian-ling, SHI Bo-wen, ZHANG Bin, QI Jin-qiu. Effects of Size of Gaps in Cryptomeria fortunei Plantation on Soil Physicochemical Properties and Species Diversity in Zhougong Mountain [J]. Journal of Ecology and Rural Environment, 2018, 34(4): 326-332.
[9]	CHEN Xiu-qin, DU Guo-qiang, YANG De-jun. Effect of Moisture Content on Compactness of Sandy Loam Soil of Farmland in Daliuta Mine and Modelling [J]. Journal of Ecology and Rural Environment, 2018, 34(1): 74-80.
[10]	LI Qing-xu, ZHANG Biao, SHI Yun-ting, ZHENG Hao. Key Ecosystem Services and Their Regional Flow in Zhangjiakou-Chengde Region [J]. Journal of Ecology and Rural Environment, 2017, 33(1): 38-46.
[11]	YAN Bo-jie, PAN Yu-chun, YAN Jing-jie. Spatio-Temporal Evolution of Livestock Manure Nutrient Load in Farmland on a County Scale: A Case Study of Anhui Province. [J]. Journal of Ecology and Rural Environment, 2016, 32(3): 466-472.
[12]	CHEN Xin, JIN Dan, LI Xiao-shun. Spatial Correlation Analysis of Mining Disturbance and Geological Calamities in Guizhou Karst Area: A Case Study of Liupanshui City [J]. Journal of Ecology and Rural Environment, 2016, 32(2): 207-212.
[13]	DONG Xu, MEI Kun, SHANG Xu, HUANG Shu-hui, HUANG Hong. Analysis of Variation Trend of Water Quality Based on Mann-Kendall Test and Rescaled Range Analysis [J]. Journal of Ecology and Rural Environment, 2016, 32(2): 277-282.
[14]	YUAN Ju-hong, HU Mian-hao. Two-Dimensional Infrared Correlation Spectroscopy and Principal Components Analysis of Se-Treated Astragalus sinicus [J]. Journal of Ecology and Rural Environment, 2016, 32(1): 157-167.
[15]	CHANG Jing-liang,YU Hong,LUO Wei-wei. Spatial Autocorrelation Analysis of PM_2.5 Concentration in the Pearl River Delta. [J]. Journal of Ecology and Rural Environment, 2015, 31(6): 853-858.