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小兴安岭南部臭冷杉红松林树轮指数记录的7月NDVI变化

张旭 宋文琦 赵慧颖 朱良军 王晓春

张旭, 宋文琦, 赵慧颖, 朱良军, 王晓春. 小兴安岭南部臭冷杉红松林树轮指数记录的7月NDVI变化[J]. 北京林业大学学报, 2018, 40(12): 9-17. doi: 10.13332/j.1000-1522.20180295
引用本文: 张旭, 宋文琦, 赵慧颖, 朱良军, 王晓春. 小兴安岭南部臭冷杉红松林树轮指数记录的7月NDVI变化[J]. 北京林业大学学报, 2018, 40(12): 9-17. doi: 10.13332/j.1000-1522.20180295
Zhang Xu, Song Wenqi, Zhao Huiying, Zhu Liangjun, Wang Xiaochun. Variation of July NDVI recorded by tree-ring index of Pinus koraiensis and Abies nephrolepis forests in the southern Xiaoxing'an Mountains of northeastern China[J]. Journal of Beijing Forestry University, 2018, 40(12): 9-17. doi: 10.13332/j.1000-1522.20180295
Citation: Zhang Xu, Song Wenqi, Zhao Huiying, Zhu Liangjun, Wang Xiaochun. Variation of July NDVI recorded by tree-ring index of Pinus koraiensis and Abies nephrolepis forests in the southern Xiaoxing'an Mountains of northeastern China[J]. Journal of Beijing Forestry University, 2018, 40(12): 9-17. doi: 10.13332/j.1000-1522.20180295

小兴安岭南部臭冷杉红松林树轮指数记录的7月NDVI变化

doi: 10.13332/j.1000-1522.20180295
基金项目: 

国家自然科学基金面上项目 41471168

中央高校基本科研业务费专项 2572016AA32

国家自然科学基金面上项目 41877426

详细信息
    作者简介:

    张旭。主要研究方向:树木年轮生态学。Email: 1309169572@qq.com  地址:150040  黑龙江省哈尔滨市香坊区和兴路51号东北林业大学林学院

    责任作者:

    王晓春,教授,博士生导师。主要研究方向:树轮与气候变化。Email: wangx@nefu.edu.cn   地址:同上

  • 中图分类号: S718.51+2

Variation of July NDVI recorded by tree-ring index of Pinus koraiensis and Abies nephrolepis forests in the southern Xiaoxing'an Mountains of northeastern China

  • 摘要: 目的归一化植被指数(Normalized difference vegetation index, NDVI)是应用最广的遥感数据之一,已被广泛应用于森林生态系统净初级生产力(Net primary productivity, NPP)的估算。但其缺点是实测数据时间较短,而基于树轮资料重建NDVI序列可在一定程度上弥补NDVI时间序列短的问题。方法本文研究了小兴安岭南部黑龙江省依兰县丹青河林场内红松、臭冷杉和蒙古栎的树轮宽度数据与NDVI的潜在关系,重建了小兴安岭南部地区过去的NDVI变化。结果红松、臭冷杉和蒙古栎树轮指数与当年7月的NDVI显著正相关,3个树种合成的样地年表与7月NDVI的相关性高于单个树种年表。样地年表和7月NDVI对气候因子(温度和降水)的响应一致;均与上一年10月至当年3月温度呈正相关,与当年4—7月温度呈负相关,与当年3月降水呈负相关,与4—7月降水呈正相关。因此,基于样地年表与7月NDVI的关系,利用一元线性回归模型建立二者之间的拟合方程,重建了过去115年的NDVI数据,方程的方差解释量达42.6% (Radj2=0.401, F=17.08, P < 0.000 1)。重建结果显示,自1900年以来NDVI序列存在2个高值时期(1967—1978、1986—1995)和3个低值时期(1920—1925、1949—1954、1999—2004),NDVI的低值时期与该区域旱灾历史记录相吻合,因此干旱可能是导致该区域NDVI低值的主要原因;此外,砍伐、林火等因素也会导致NDVI值下降。结论建立树木年轮与NDVI的关系时应综合考虑NDVI投影范围和样地多树种组合以减少重建误差。

     

  • 图  1  样地内红松、蒙古栎、臭冷杉标准年表及样地年表

    PK、QM、AF和SC分别代表红松、蒙古栎、臭冷杉和样地的标准年表(下同)。蓝色实线为年轮宽度指数,红色虚线为样本量。

    Figure  1.  Standard tree-ring chronologies of Pinus koraiensis, Quercus mongolica, Abies nephrolepis and the synthesized chronology of the three tree species

    PK, QM, AF and SC represent the standard chronology of Pinus koraiensis, Quercus mongolica, Abies nephrolepis and the synthesized chronology, respectively (as follows). The blue solid and red dash line represent the tree-ring index and sample number, respectively.

    图  2  实测NDVI与重建NDVI比较

    Figure  2.  Comparison between the reconstructed and observed NDVI

    图  3  1897年以来7月NDVI重建序列

    黑色曲线为重建序列的5年滑动平均,蓝色点和红色点分别代表重建序列中10个极高值年份和极低值年份。

    Figure  3.  July NDVI reconstruction for south of the Xiaoxing'an Mountains

    The thick line represents the 5-years moving average. Ten red and ten blue dots represent the lowest and highest value years, respectively.

    图  4  红松、臭冷杉、蒙古栎、样地年表和7月NDVI与温度和降水的关系

    * 代表P<0.05,表示显著相关;** 代表P<0.01,表示极显著相关。

    Figure  4.  Correlation coefficients between the three tree species chronologies (Pinus koraiensis, Quercus mongolica, Abies nephrolepis), synthesized chronologies and July NDVI and the monthly temperature and precipitation

    * represents P<0.05, indicating significant correlation; ** represents P<0.01, indicating extremely significant correlation.

    表  1  样地主要树种组成信息

    Table  1.   Information of the major tree species in two sampling plots

    树种
    Species
    样地1 Sample plot 1样地2 Sample plot 2
    株数
    Tree number
    平均胸径
    Mean
    DBH/cm
    株数占比
    Tree number
    proportion/%
    胸高断面积比例
    Basal area
    ratio/%
    株数
    Tree
    number
    平均胸径
    Mean
    DBH/cm
    株数占比
    Tree number
    proportion/%
    胸高断面积比例
    Basal area
    ratio/%
    红松Pinus koraiensis953.223.750.01140.626.241.0
    臭冷杉Abies nephrolepis1139.228.934.21035.523.828.2
    蒙古栎Quercus mongolica1223.431.613.61324.030.917.9
    其他树种Other trees624.915.82.2828.519.112.9
    下载: 导出CSV

    表  2  样地红松、臭冷杉、蒙古栎及样地年表统计特征

    Table  2.   Statistical characteristics of the Pinus koraiensis, Quercus mongolica, Abies nephrolepis and the synthesized chronologies

    项目Item红松
    Pinus koraiensis
    臭冷杉
    Abies nephrolepis
    蒙古栎
    Quercus mongolica
    样地年表
    Synthesized chronology
    样芯个数Core number28332383
    年表长度Time span1800—20151884—20151897—20151897—2015
    标准差Standard deviation0.240.250.220.22
    平均敏感度Mean sensitivity0.210.180.220.18
    树木间相关系数Correlation coefficient between trees0.260.280.420.24
    一阶自相关Autocorrelation for order 10.490.630.740.54
    信噪比Signal-to-noise ratio7.5612.231518.02
    样本总体代表量Representative quantity of total samples0.880.930.940.95
    下载: 导出CSV

    表  3  不同树种及样地年表间的相关系数

    Table  3.   Correlation coefficients between chronologies of different tree species and synthesized chronology

    项目Item红松Pinus koraiensis臭冷杉Abies nephrolepis蒙古栎Quercus mongolica
    臭冷杉Abies nephrolepis0.67**
    蒙古栎Quercus mongolica0.60**0.69**
    样地年表Synthesized chronology0.85**0.91**0.87**
    注:**代表P<0.01,表示极显著相关。Notes: ** represents P<0.01, indicating extremely significant correlation.
    下载: 导出CSV

    表  4  3种树种标准年表以及样地标准年表与各月份NDVI的关系

    Table  4.   Relationship between tree-ring chronologies of three species, synthesized chronology and NDVI

    月份(组合)
    Month(combination)
    红松
    Pinus koraiensis
    臭冷杉
    Abies nephrolepis
    蒙古栎
    Quercus mongolica
    样地年表
    Synthesized chronology
    P100.210.160.020.14
    P110.190.14-0.080.11
    P120.110.170.050.13
    10.04-0.13-0.07-0.07
    20.260.13-0.120.09
    30.100.36-0.010.19
    40.180.180.060.16
    5-0.130.220.140.10
    60.330.47*0.50*0.49*
    70.60**0.56**0.56**0.65**
    8-0.060.12-0.020.04
    9-0.28-0.21-0.30-0.29
    生长季Growing season0.130.47*0.340.38
    年均值Annual mean0.210.42*0.200.33
    *代表P<0.05,表示显著相关;**代表P<0.01,表示极显著相关。Notes:* represents P<0.05, indicating significant correlation; ** represents P<0.01, indicating extremely significant correlation.
    下载: 导出CSV

    表  5  7月NDVI重建模型的逐一剔除法统计检验

    Table  5.   Leave-one-out cross-validation statistics of July NDVI

    项目ItemrR2Radj2RECESTPMT
    校准Calibration0.650.430.40
    验证Verification0.570.330.300.570.3219(18, 20)*5.00**
    *代表P<0.05,表示显著相关;**代表P<0.01,表示极显著相关。Notes:* represents P<0.05, indicating significant correlation; ** represents P<0.01, indicating extremely significant correlation.
    下载: 导出CSV

    表  6  NDVI低值期与档案记载的旱灾历史记录比较

    Table  6.   Comparison of the lower NDVI and the drought records in history documents

    NDVI低值期
    Periods of low NDVI
    旱灾年份
    Year of drought
    旱灾描述[26]
    Resume of drought
    1920—19251916—1925黑龙江地区连续干旱,1919—1921年间干旱最为严重
    Continuously dry in Heilongjiang region, and the most serious dry occurred in 1919-1921
    1949—19541948—1955黑龙江大部分区域受旱灾影响,1949和1954年旱灾最广且最严重
    Most region in Heilongjiang was affected by drought, and the most widely and seriously drought occurred
    in 1949 and 1954
    19821976—19821982年干旱面积之大、旱期之长、灾情之重为自1683年以来最严重
    The drought area, drought period and disaster situation in 1982 were the most serious one since 1683
    1999—20041996—2000黑龙江省连年旱灾,2000年旱灾程度为50年来所罕见
    There was successive drought disaster in Heilongjiang Province, and the drought disaster condition in
    2000 was rare in 50 years
    下载: 导出CSV
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出版历程
  • 收稿日期:  2018-09-21
  • 修回日期:  2018-11-22
  • 刊出日期:  2018-12-01

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