發(fā)布時間：2019-01-02 13:22

【摘要】：秦嶺太白山林線植被因海拔較高且受人為擾動較輕,對氣候變化的響應(yīng)尤為敏感,為獲取過去氣候變化信息提供了可靠代用資源。然而,結(jié)合樹木年代學(xué)方法及Arcgis空間插值功能進行秦嶺林線氣候變化重建的工作至今仍處于空白。利用采自太白山林線地帶太白紅杉(Larix chinensis)所建立的樹輪寬度資料,與提取自太白山保護區(qū)氣溫柵格數(shù)據(jù)中的采樣點位置氣象數(shù)據(jù)進行相關(guān)分析。結(jié)果表明,太白紅杉與3—6月平均氣溫相關(guān)性最顯著,采用線性回歸建立了兩者的擬合模型,剔除重建方程中的1997、1998年之后,方差解釋量達57.2%(調(diào)整自由度后為55.5%);重建氣溫序列顯示偏冷時段平均跨度(16年)較偏暖時段平均跨度(10.8年)長,偏冷時段有:1870—1881年、1903—1918年和1977—1996年;偏暖的時段有:1882—1892年、1919—1929年和1997—2013年;在1931—1978年這一時期,氣溫相對穩(wěn)定,1988年之后升溫強烈;周期分析顯示近144年以來3—6月氣溫存在22—31 a,18—22 a以及10—13 a的3個振蕩周期,可能與大尺度氣候驅(qū)動及太陽活動存在聯(lián)系。以上結(jié)果均得到歷史記錄以及周邊重建結(jié)果的支持。
[Abstract]:The vegetation of Taibai Mountain forest line in Qinling Mountains is especially sensitive to the response to climate change because of its high altitude and light disturbance, which provides a reliable alternative resource for obtaining the information of climate change in the past. However, the reconstruction of climate change of Qinling forest line with tree chronology and Arcgis spatial interpolation is still blank. Based on the data of tree ring width established by (Larix chinensis) collected from Taibai Mountain Forest Belt, the correlation analysis was carried out between the data collected from the temperature grid data of Taibai Mountain Reserve and the meteorological data of sampling points. The results showed that the correlation between Sequoia chinensis and the average temperature in March and June was the most significant. The fitting model was established by linear regression, and the reconstructed equation was eliminated after 1997 and 1998. The variance explanation was 57.2% (55.5% after adjusting the degree of freedom). The mean span (16 years) of reconstructing temperature period is longer than that of warm period (10.8 years). The cold period is 1870-1881 years, 1903-1918 years and 1977-1996 years. The warm periods are 1882-1892, 1919-1929 and 1997-2013, the temperature was relatively stable in 1931-1978, and the temperature increased strongly after 1988. The periodic analysis shows that there are three oscillatory periods of 22-31 a ~ 18-22 a and 10 ~ (-13) a in the last 144 years, which may be related to the large-scale climate driving and solar activity. The above results are supported by historical records and peripheral reconstruction results.
【作者單位】： 西北大學(xué)城市與環(huán)境學(xué)院;
【基金】：林業(yè)公益性行業(yè)科研專項(201304309) 太白山林線樹種年輪指數(shù)與氣候變化響應(yīng)的時空差異性研究(2014JQ5172)
【分類號】：S716.2
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本文編號：2398545