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杉木人工林灌木层生物量模型构建

耿丹 夏朝宗 张国斌 刘晓东 康峰峰

耿丹, 夏朝宗, 张国斌, 刘晓东, 康峰峰. 杉木人工林灌木层生物量模型构建[J]. 北京林业大学学报, 2018, 40(3): 34-41. doi: 10.13332/j.1000-1522.20170257
引用本文: 耿丹, 夏朝宗, 张国斌, 刘晓东, 康峰峰. 杉木人工林灌木层生物量模型构建[J]. 北京林业大学学报, 2018, 40(3): 34-41. doi: 10.13332/j.1000-1522.20170257
Geng Dan, Xia Chaozong, Zhang Guobin, Liu Xiaodong, Kang Fengfeng. Biomass model construction of shrub layer of Chinese fir plantation[J]. Journal of Beijing Forestry University, 2018, 40(3): 34-41. doi: 10.13332/j.1000-1522.20170257
Citation: Geng Dan, Xia Chaozong, Zhang Guobin, Liu Xiaodong, Kang Fengfeng. Biomass model construction of shrub layer of Chinese fir plantation[J]. Journal of Beijing Forestry University, 2018, 40(3): 34-41. doi: 10.13332/j.1000-1522.20170257

杉木人工林灌木层生物量模型构建

doi: 10.13332/j.1000-1522.20170257
基金项目: 

国家重点研发计划子课题 2017YFD0600106-1

国家自然科学基金项目 31770696

详细信息
    作者简介:

    耿丹。主要研究方向:生态学。Email:1091115219@qq.com 地址:100083北京市海淀区清华东路35号北京林业大学林学院

    责任作者:

    刘晓东,副教授。主要研究方向:生态学。Email:xd_liu@bjfu.edu.cn 地址:同上

    康峰峰,讲师。主要研究方向:生态学。Email:phoonkong@163.com 地址:同上。

  • 中图分类号: S718.55+6;S791.27

Biomass model construction of shrub layer of Chinese fir plantation

  • 摘要: 目的本研究选择湖南、安徽、江西3省杉木人工林为研究对象,构建乔灌层调查因子与其生物量之间的估算模型。试图获取更为可靠、精准的灌木层生物量估算模型,为提高估算杉木人工林灌木层生物量模型精度提供参考。方法在研究区域进行典型抽样调查,测定不同林龄杉木林上层乔木郁闭度Cs、林分密度Ds(株/hm2)、平均胸径Dm(cm),下层灌木平均高度H(m)、平均地径D(cm)、盖度C、灌木层枝、干、叶、根干鲜质量(kg),通过计算获得乔木层杉木蓄积量V(m3/hm2)、灌木层生物量数据(t/hm2)。通过Pearson相关性分析灌木层结构和乔木层调查因子对灌木层生物量的影响,选取最佳灌木层结构因子为模型参数建立枝叶、干、地上、地下生物量估算模型。将乔木层林分调查因子作为自变量加入模型中,对比分析模型R2在乔木层调查因子作为自变量加入后的变化,并用样本外的数据进行检验,构建估算灌木层生物量更为精确的模型。结果研究结果显示:灌木层各组分生物量模型以幂函数为主,各林龄灌木层地下生物量与自变量D2H获取了最佳模型,R2为0.516~0.955;其余部分生物量以盖度与高度乘积(CH)为自变量获得了拟合效果较好的模型, R2为0.516~0.718。与单独采用灌木层结构因子为预测变量建立的灌木层生物量预估模型相比,乔木层平均胸径Dm作为自变量的加入使中幼龄林除地下生物量以外的各组分生物量模型拟合效果有了显著提高,R2为0.718~0.990;郁闭度Cs的加入使近成过熟林除地下生物量以外的各组分生物量模型拟合效果有了显著提高,R2为0.817~0.886。结论因此,评价和分析乔木林下层灌木生物量,不仅要考虑灌木层自身结构生物量关系,还要考虑到乔木层相关因子的影响,从而建立更符合灌木生物学与生态学相一致的生物学结构模型,本研究可为亚热带地区杉木人工林下层灌木生物量的估算提供参考。

     

  • 表  1  杉木人工林乔木层和下层灌木基本信息

    Table  1.   Basic information of Chinese fir plantation arbors and underlying shrubs

    林分类型
    Stand type
    C/% H/m D/cm CH/cm D2H/cm Ds/(株·hm-2)
    Ds/(plant·ha-1)
    Cs/% V/(m3·hm-2)
    V/(m3·ha-1)
    Dm/cm A/m
    幼龄林Young forest 最大值Max. 70.00 2.50 1.82 180.00 7.56 3 713.00 0.85 167.22 14.10 1 080.00
    最小值Min. 5.00 0.83 0.64 4.17 0.53 840.00 0.40 14.69 7.72 110.00
    均值Mean 25.83 1.30 1.18 43.48 2.77 1925.36 0.63 71.12 9.81 386.18
    标准误SEE 21.22 0.53 0.49 53.96 2.62 5.09 0.14 47.48 1.94 2.88
    N 45.00 45.00 45.00 45.00 45.00 45.00 45.00 45.00 45.00 45.00
    中龄林Middle-aged 最大值Max. 70.00 2.37 2.78 156.45 19.92 5 625.00 0.90 216.50 14.20 1 600.00
    最小值Min. 5.00 0.91 0.50 4.54 0.29 780.00 0.30 18.40 7026 108.00
    均值Mean 39.07 1.70 1.47 70.37 5.67 1 935.35 0.63 80.45 10.16 475.94
    标准误SEE 18.35 0.45 0.64 39.30 5.43 3.39 0.18 60.07 1.92 6.76
    N 45.00 45.00 45.00 45.00 45.00 45.00 45.00 45.00 45.00 45.00
    近成过Mature forest 最大值Max. 70.00 2.33 1.90 119.89 11.29 3 195.00 0.90 315.56 19.10 480.00
    最小值Min. 7.50 0.69 0.46 11.25 0.23 660.00 0.50 35.82 8.21 70.00
    均值Mean 37.53 1.41 1.05 58.86 2.45 1 721.92 0.75 143.09 13.12 331.54
    标准误SEE 16.68 0.52 0.42 7.66 3.09 24.24 0.11 77.40 3.40 8.81
    N 60.00 60.00 60.00 60.00 60.00 60.00 60.00 60.00 60.00 60.00
    注:C为灌木盖度; H为灌木均高; D为灌木平均地径; Ds为林分密度; CS为郁闭度; V为林分蓄积量; Dm为平均胸径; A为海拔; N为样方数。Notes:C, shrub cover; H, average shrub height; D, average diameter for shrub; Ds, stand density; CS, canopy; V, forest stock volume,Dm, average breast diameter; A, altitude; N, sample number.
    下载: 导出CSV

    表  2  杉木人工林灌木层生物量与乔灌调查因子相关性

    Table  2.   Correlations between Chinese fir plantation investigation

    林分类型
    Stand type
    组分
    Component
    Dm Cs Ds V CH D2H C H
    幼龄林Young forest Bl -0.615** -0.559** -0.348 -0.393* 0.737* 0.375* 0.526** 0.452*
    Bs -0.663* -0.569* -0.327 -0.399* 0.779** 0.513** 0.553** 0.508**
    Bg -0.655* -0.490* -0.347 -0.410* 0.778** 0.472** 0.560** 0.501**
    Bu -0.096 -0.101 -0.091 -0.025 0.217 0.505** 0.342 0.229
    Bt -0.571** -0.330 -0.294 -0.396* 0.636* 0.531** 0.542** 0.458**
    中龄林Middle-aged forest Bl -0.620** 0.119 -0.170 -0.348* 0.772** 0.578** 0.512** 0.638**
    Bs -0.640* 0.013 -0.199 -0.344* 0.765** 0.523** 0.402** 0.638**
    Bg -0.676** 0.053 -0.192 -0.352* 0.718** 0.553** 0.451** 0.650**
    Bu -0.036 -0.090 -0.137 -0.286 0.413** 0.468* 0.235 0.443**
    Bt -0.585** 0.000 -0.179 -0.343* 0.832** 0.506** 0.388** 0.599**
    近成过熟林Mature forest Bl -0.305 -0.700** -0.147 -0.207 0.890** 0.724** 0.297 0.607**
    Bs -0.309 -0.709** -0.141 -0.207 0.891** 0.722** 0.286 0.619**
    Bg -0.307 -0.705** -0.143 -0.207 0.851** 0.723** 0.290 0.614**
    Bu -0.300 -0.326 -0.176 -0.213 0.714** 0.834** 0.328 0.625**
    Bt -0.306 -0.710** -0.150 -0.208 0.896** 0.725** 0.298 0.616**
    注:Bl为单位面积枝叶生物量;Bs为单位面积干生物量;Bg为单位面积地上生物量;Bu为单位面积地下生物量;Bt为单位面积总生物量,CH为灌木盖度与高度的乘积。下同。**P < 0.01水平上(双侧)显著相关;*P < 0.05水平上(双侧)显著相关;加黑字体为相关性最高。Notes: Bl,branches and leaf biomass per unit area; Bs, stem biomass per unit area; Bg, aboveground biomass per unit area; Bu,underground biomass per unit area; Bt, total biomass per unit area; CH, the product of shrub cover and height. The same below. ** means significant correlation at P<0.01 level (bilateral);* means significant correlation at P<0.05 level (bilateral);black font is the most relevant.
    下载: 导出CSV

    表  3  杉木人工林灌木层各组分生物量估算模型

    Table  3.   Biomass estimation models for each component of the Chinese fir plantation shrub layer

    林分类型
    Stand type
    方程
    Equation
    系数Coefficient R2 SEE 显著性
    Significance
    RMSE/% TRE/%H MPE/%
    a b
    幼龄林Young forest Bl=a(CH)b 0.2402 0.5350 0.608 0.877 < 0.01 1.730 4.250×10-4 26.405
    Bs=a(CH)b 0.3266 0.5558 0.609 0.929 < 0.01 2.435 1.646×10-6 25.095
    Bg=a(CH)b 0.5665 0.5473 0.653 0.989 < 0.01 3.873 5.918×10-6 13.130
    Bu=a(D2H)b 1.5179 0.4921 0.516 0.905 < 0.01 0.289 3.171×10-1 23.567
    Bt=a(CH)b 1.2184 0.4618 0.536 0.859 < 0.01 5.195 6.16×10-6 27.945
    中龄林Middle-aged forest Bl=a(CH)b 0.0001 2.2684 0.718 0.859 < 0.01 3.120 0.158 19.057
    Bs=a(CH)b 0.0004 2.0906 0.532 0.988 < 0.01 6.996 1.276×10-5 26.659
    Bg=a(CH)b 0.0005 2.1616 0.624 0.634 < 0.01 9.694 9.244×10-6 22.747
    Bu=a(D2H)b -0.0309 1.4316 0.535 1.678 < 0.01 8.325 -0.355 28.408
    Bt=a(CH)b 0.0028 1.9028 0.626 0.866 < 0.01 14.292 0.126 23.705
    近成过熟林Mature forest Bl=a(CH)b 0.0003 2.1234 0.804 0.786 < 0.01 2.723 0.145 17.185
    Bs=a(CH)b 0.0003 2.1850 0.678 0.876 < 0.01 6.442 4.815×10-5 23.923
    Bg=a(CH)b 0.0057 2.1610 0.744 0.603 < 0.01 11.239 2.619×10-5 14.109
    Bu=a(D2H)b 0.0011 4.3947 0.955 0.134 < 0.01 1.547 0.462 16.980
    Bt=a(CH)b 0.0070 2.1610 0.744 0.803 < 0.01 13.997 1.95×10-5 22.042
    下载: 导出CSV

    表  4  灌木层各组分生物量最优预测模型

    Table  4.   Optimal biomass prediction models for each component of shrub layer

    林分类型
    Stand type
    方程
    Equation
    系数Coefficient R2 SEE 显著性
    Significance
    RMSE/% TRE/%H MPE/%
    a b c
    幼龄林Young forest Bl=a(CH)bDmc 0.0260 0.7057 -2.5408 0.718 1.693 < 0.01 1.278 -0.893 27.527
    Bs=a(CH)bDmc 0.0364 0.7398 -2.3948 0.731 1.639 < 0.01 1.784 -0.570 26.245
    Bg=a(CH)bDmc 0.0625 0.7257 -2.4546 0.876 2.567 < 0.01 2.679 -0.686 23.418
    Bt=a(CH)bDmc 0.2325 0.5949 -1.9354 0.825 7.632 < 0.01 0.458 1.345 15.175
    中龄林Middle-aged forest Bl=a(CH)bDmc 1.9020 2.0780 10.1800 0.980 0.124 < 0.01 2.800 1.580 17.103
    Bs=a(CH)bDmc 150.6670 1.9000 -8.3730 0.990 3.254 < 0.01 2.800 0.580 17.103
    Bg=a(CH)bDmc 537.0680 1.9710 -8.8990 0.988 0.696 < 0.01 1.694 0.926 22.747
    Bt=a(CH)bDmc 87.5190 1.8190 0.8734 0.984 1.255 < 0.01 5.116 1.089 18.590
    近成过熟林Mature forest Bl=a(CH)bDmc 0.0012 1.8997 0.8179 0.849 0.987 < 0.01 2.386 6.273 15.059
    Bs=a(CH)bDmc 0.0012 1.9813 0.8295 0.817 3.655 < 0.01 5.382 0.404 22.755
    Bg=a(CH)bDmc 0.0105 1.7320 0.8735 0.876 8.964 < 0.01 3.289 8.353 22.041
    Bt=a(CH)bDmc 0.0024 1.9490 0.8235 0.886 3.568 < 0.01 3.289 0.835 22.041
    下载: 导出CSV
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  • 收稿日期:  2017-09-06
  • 修回日期:  2017-12-01
  • 刊出日期:  2018-03-01

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