生物多样性 ›› 2020, Vol. 28 ›› Issue (4): 455-462. DOI: 10.17520/biods.2019403
贾梦可1,2,3,郭屹立1,3,*(),李冬兴1,3,王斌1,3,向悟生1,3,王爱龙4,刘晟源4,丁涛1,3,黄甫昭1,3,文淑均1,3,陆树华1,3,李先琨1,3,*()
收稿日期:
2019-12-19
接受日期:
2020-03-31
出版日期:
2020-04-20
发布日期:
2020-06-15
通讯作者:
郭屹立,李先琨
基金资助:
Mengke Jia1,2,3,Yili Guo1,3,*(),Dongxing Li1,3,Bin Wang1,3,Wusheng Xiang1,3,Ailong Wang4,Shengyuan Liu4,Tao Ding1,3,Fuzhao Huang1,3,Shujun Wen1,3,Shuhua Lu1,3,Xiankun Li1,3,*()
Received:
2019-12-19
Accepted:
2020-03-31
Online:
2020-04-20
Published:
2020-06-15
Contact:
Yili Guo,Xiankun Li
摘要:
森林凋落物是森林生态系统极其重要的组成部分, 关系着森林生态系统的物质循环和养分平衡。然而, 有关异质性自然森林生态系统中生物与非生物因子对凋落物凋落量的影响机制还存在较大争议。本文以广西弄岗15 ha森林动态监测样地中设置的90个凋落物收集器所收集的凋落叶为研究对象, 选取2013‒2018年连续6年的凋落叶数据探讨了森林叶凋落量的时空动态, 旨在深入了解该地区森林生态系统的物质循环过程及凋落量的影响因子。结果显示: 2013‒2018年的年均叶凋落量为4,099.44 kg/ha, 标准误为232.34, 变异系数为0.15, 这表明不同年际间叶凋落量存在明显差异; 不同年际间叶凋落量的节律性变化为双峰型、三峰型或多峰型, 说明不同年份的叶凋落量存在明显的节律性差异, 但总体而言高峰期主要出现在每年的春季(3‒4月)和秋季(8‒10月); 生态因子对叶凋落量年际动态存在显著影响, 其累计解释率为69.3%, 其中海拔对叶凋落量的影响最强, 解释率为46.5%; 而生物因子如胸径变异系数、单位面积胸高断面积之和和物种丰富度则对叶凋落量的影响较弱。多年的连续监测表明, 喀斯特季节性雨林不同年际间叶片的凋落量和节律性存在显著差异, 而非生物因子, 如海拔是形成叶凋落量空间变异的主要因素。
贾梦可,郭屹立,李冬兴,王斌,向悟生,王爱龙,刘晟源,丁涛,黄甫昭,文淑均,陆树华,李先琨 (2020) 桂西南喀斯特季节性雨林叶凋落量的时空动态. 生物多样性, 28, 455-462. DOI: 10.17520/biods.2019403.
Mengke Jia,Yili Guo,Dongxing Li,Bin Wang,Wusheng Xiang,Ailong Wang,Shengyuan Liu,Tao Ding,Fuzhao Huang,Shujun Wen,Shuhua Lu,Xiankun Li (2020) Spatio-temporal dynamics of leaf litter in a karst seasonal rainforest in southwest Guangxi. Biodiversity Science, 28, 455-462. DOI: 10.17520/biods.2019403.
图1 广西龙州县2000年1月至2015年12月月平均降水量、风速、气温的变化
Fig. 1 Monthly variations of mean precipitation, wind speed and air temperature between January 2000 and December 2015 in Longzhou County, Guangxi
图2 弄岗15 ha森林动态监测样地等高线图及90个凋落物收集器的多年叶片年均凋落量。圆点大小代表凋落量的多少。
Fig. 2 The contour map and perennial annual leaf litter fall production of 90 litter fall traps of the 15 ha forest dynamics plot in Nonggang, Guangxi. Black dots size indicate the production of litter fall.
图3 弄岗15 ha森林动态监测样地2013-2018年叶凋落量的年际动态(平均值 ± SD)
Fig. 3 Annual dynamics of leaf litter fall production between 2013 and 2018 of the 15 ha forest dynamics plot in Nonggang, Guangxi (mean ± SD)
图4 弄岗15 ha森林动态监测样地2013-2018年叶凋落量的节律性
Fig. 4 Rhythmicity of leave litter fall production between 2013 and 2018 of the 15 ha forest dynamics plot in Nonggang, Guangxi
2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 平均值 Mean | |
---|---|---|---|---|---|---|---|
海拔 Elevation | 0.578** | 0.670** | 0.644** | 0.394** | 0.491** | 0.697** | 0.682** |
坡度 Slope | 0.447** | 0.400** | 0.421** | 0.422** | 0.314** | 0.255* | 0.411** |
凹凸度 Convexity | 0.276** | 0.223* | 0.302** | 0.286** | 0.238* | 0.139 | 0.262* |
坡向 Aspect | 0.141 | 0.296** | 0.095 | 0.01 | 0.046 | 0.222* | 0.172 |
岩石裸露率 Rock-bareness rate | 0.183* | 0.223* | 0.192* | 0.289** | 0.268** | 0.334** | 0.255** |
湿润度指数 Topographic wetness index | -0.461** | -0.494** | -0.509** | -0.446** | -0.400** | -0.363** | -0.497** |
干旱度指数 Altitude above channel | 0.2 | 0.264* | 0.324** | 0.220* | 0.343** | 0.294** | 0.316** |
胸径变异系数 DBH variation | -0.281** | -0.352** | -0.284** | -0.137 | -0.114 | -0.326** | -0.299** |
胸高断面积之和 Total basal area | 0.229** | 0.218** | 0.229** | 0.243* | 0.145* | 0.196* | 0.234** |
物种丰富度 Species richness | 0.089 | 0.112 | 0.091 | 0.132 | 0.103 | 0.078 | 0.097 |
表1 弄岗15 ha森林动态监测样地不同年际叶凋落量和生态因子间的相关性
Table 1 Correlations between leaf litter fall production and ecological factors in different years of the 15 ha forest dynamics plot in Nonggang, Guangxi. *, P < 0.05; **, P < 0.01.
2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 平均值 Mean | |
---|---|---|---|---|---|---|---|
海拔 Elevation | 0.578** | 0.670** | 0.644** | 0.394** | 0.491** | 0.697** | 0.682** |
坡度 Slope | 0.447** | 0.400** | 0.421** | 0.422** | 0.314** | 0.255* | 0.411** |
凹凸度 Convexity | 0.276** | 0.223* | 0.302** | 0.286** | 0.238* | 0.139 | 0.262* |
坡向 Aspect | 0.141 | 0.296** | 0.095 | 0.01 | 0.046 | 0.222* | 0.172 |
岩石裸露率 Rock-bareness rate | 0.183* | 0.223* | 0.192* | 0.289** | 0.268** | 0.334** | 0.255** |
湿润度指数 Topographic wetness index | -0.461** | -0.494** | -0.509** | -0.446** | -0.400** | -0.363** | -0.497** |
干旱度指数 Altitude above channel | 0.2 | 0.264* | 0.324** | 0.220* | 0.343** | 0.294** | 0.316** |
胸径变异系数 DBH variation | -0.281** | -0.352** | -0.284** | -0.137 | -0.114 | -0.326** | -0.299** |
胸高断面积之和 Total basal area | 0.229** | 0.218** | 0.229** | 0.243* | 0.145* | 0.196* | 0.234** |
物种丰富度 Species richness | 0.089 | 0.112 | 0.091 | 0.132 | 0.103 | 0.078 | 0.097 |
模型因子 Environmental parameters | r2adj | 累计解释率 Cumulative explained deviation (%) | AIC | 贡献拟合值 Fitted contribution values | 卡方检验 Pr(χ) |
---|---|---|---|---|---|
海拔 Elevation | 0.425 | 46.5 | 116.366 | 9.344 | 0.000 |
坡度 Slope | 0.256 | 29.1 | 1,137.742 | 6.254 | 0.000 |
凹凸度 Convexity | 0.210 | 25.9 | 1,144.322 | 4.041 | 0.001 |
坡向 Aspect | 0.114 | 16.7 | 1,154.586 | 2.161 | 0.056 |
岩石裸露率 Rock-bareness rate | 0.171 | 22.8 | 1,149.297 | 2.848 | 0.008 |
湿润度指数 Topographic wetness index | 0.257 | 27.2 | 1,135.356 | 13.75 | 0.000 |
干旱度指数 Altitude above channel | 0.071 | 8.15 | 1,154.644 | 7.809 | 0.006 |
胸径变异系数 DBH variation | 0.042 | 5.32 | 1,157.379 | 4.943 | 0.029 |
胸高断面积之和 Total basal area | 0.162 | 22.9 | 1,151.089 | 2.598 | 0.015 |
物种丰富度 Species richness | 0.044 | 7.87 | 1,159.372 | 1.437 | 0.229 |
表2 弄岗15 ha森林动态监测样地年均叶凋落量分别与不同因子的广义可加模型(GAMs)检验
Table 2 Test of generalized additive models (GAMs) for modeling leaf annual litter fall production of the 15 ha forest dynamics plot in Nonggang, Guangxi with different indices, respectively
模型因子 Environmental parameters | r2adj | 累计解释率 Cumulative explained deviation (%) | AIC | 贡献拟合值 Fitted contribution values | 卡方检验 Pr(χ) |
---|---|---|---|---|---|
海拔 Elevation | 0.425 | 46.5 | 116.366 | 9.344 | 0.000 |
坡度 Slope | 0.256 | 29.1 | 1,137.742 | 6.254 | 0.000 |
凹凸度 Convexity | 0.210 | 25.9 | 1,144.322 | 4.041 | 0.001 |
坡向 Aspect | 0.114 | 16.7 | 1,154.586 | 2.161 | 0.056 |
岩石裸露率 Rock-bareness rate | 0.171 | 22.8 | 1,149.297 | 2.848 | 0.008 |
湿润度指数 Topographic wetness index | 0.257 | 27.2 | 1,135.356 | 13.75 | 0.000 |
干旱度指数 Altitude above channel | 0.071 | 8.15 | 1,154.644 | 7.809 | 0.006 |
胸径变异系数 DBH variation | 0.042 | 5.32 | 1,157.379 | 4.943 | 0.029 |
胸高断面积之和 Total basal area | 0.162 | 22.9 | 1,151.089 | 2.598 | 0.015 |
物种丰富度 Species richness | 0.044 | 7.87 | 1,159.372 | 1.437 | 0.229 |
模型因子 Environmental parameters | r2adj | 累计解释率 Cumulative explained deviation (%) | AIC | F检验 Pr(F) | 贡献拟合值 Fitted contribution values | 卡方检验 Pr(χ) |
---|---|---|---|---|---|---|
海拔 Elevation | 0.425 | 46.5 | 1,116.366 | 0.000 | 6.108 | 0.000 |
坡度 Slope | 0.458 | 49.2 | 1,110.539 | 0.000 | 0.025 | 0.874 |
凹凸度 Convexity | 0.513 | 57.7 | 1,106.171 | 0.000 | 1.289 | 0.260 |
坡向 Aspect | 0.525 | 58.9 | 1,104.41 | 0.000 | 2.215 | 0.033 |
岩石裸露率 Rock-bareness rate | 0.596 | 67.5 | 1,093.937 | 0.000 | 2.631 | 0.109 |
湿润度指数 Topographic wetness index | 0.602 | 69.3 | 1,094.793 | 0.000 | 0.887 | 0.349 |
干旱度指数 Altitude above channel | 0.593 | 68.1 | 1,095.75 | 0.000 | 0.821 | 0.368 |
胸径变异系数 DBH variation | 0.591 | 68.4 | 1,096.955 | 0.000 | 0.002 | 0.963 |
胸高断面积之和 Total basal area | 0.594 | 69.1 | 1,097.032 | 0.000 | 1.312 | 0.256 |
表3 弄岗15 ha森林动态监测样地年均叶凋落量与所有因子的广义可加模型(GAMs)检验
Table 3 Test of generalized additive models (GAMs) for modeling annual leaf litter fall production of the 15 ha forest dynamics plot in Nonggang, Guangxi with all of the indices
模型因子 Environmental parameters | r2adj | 累计解释率 Cumulative explained deviation (%) | AIC | F检验 Pr(F) | 贡献拟合值 Fitted contribution values | 卡方检验 Pr(χ) |
---|---|---|---|---|---|---|
海拔 Elevation | 0.425 | 46.5 | 1,116.366 | 0.000 | 6.108 | 0.000 |
坡度 Slope | 0.458 | 49.2 | 1,110.539 | 0.000 | 0.025 | 0.874 |
凹凸度 Convexity | 0.513 | 57.7 | 1,106.171 | 0.000 | 1.289 | 0.260 |
坡向 Aspect | 0.525 | 58.9 | 1,104.41 | 0.000 | 2.215 | 0.033 |
岩石裸露率 Rock-bareness rate | 0.596 | 67.5 | 1,093.937 | 0.000 | 2.631 | 0.109 |
湿润度指数 Topographic wetness index | 0.602 | 69.3 | 1,094.793 | 0.000 | 0.887 | 0.349 |
干旱度指数 Altitude above channel | 0.593 | 68.1 | 1,095.75 | 0.000 | 0.821 | 0.368 |
胸径变异系数 DBH variation | 0.591 | 68.4 | 1,096.955 | 0.000 | 0.002 | 0.963 |
胸高断面积之和 Total basal area | 0.594 | 69.1 | 1,097.032 | 0.000 | 1.312 | 0.256 |
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