
生物多样性 ›› 2026, Vol. 34 ›› Issue (1): 25326. DOI: 10.17520/biods.2025326 cstr: 32101.14.biods.2025326
高雅1,2,3, 刘绮3, 刘民峰4, 马瑞霞3, 黄甫昭3, 李冬兴3, 向悟生3, 丁涛3, 王斌3, 李先琨3, 郭屹立2,3,*(
)(
)
收稿日期:2025-08-18
接受日期:2025-12-17
出版日期:2026-01-20
发布日期:2026-01-21
通讯作者:
郭屹立
基金资助:
Ya Gao1,2,3, Qi Liu3, Minfeng Liu4, Ruixia Ma3, Fuzhao Huang3, Dongxing Li3, Wusheng Xiang3, Tao Ding3, Bin Wang3, Xiankun Li3, Yili Guo2,3,*(
)(
)
Received:2025-08-18
Accepted:2025-12-17
Online:2026-01-20
Published:2026-01-21
Contact:
Yili Guo
Supported by:摘要:
森林凋落物作为森林生态系统物质循环、能量流动和养分平衡的载体, 是森林生态系统的重要组成部分。本研究以广西防城金花茶国家级自然保护区1 ha森林动态监测样地为研究对象, 在其中布设了40个凋落物收集器, 通过6年的连续监测, 分析了该地区凋落物的组成、时空分布特征及驱动因素。结果表明: 广西防城金花茶国家级自然保护区2019-2024年连续6年平均年凋落物量为7,506.38 ± 766.94 kg/ha, 年际波动明显。各组分所占比例大小依次为叶(60.24%) > 枝(19.34%) > 杂物(17.70%) > 繁殖组织(2.72%)。凋落物总量及各组分凋落物量月动态变化规律相似, 均呈三峰型, 峰值分别出现在4月、8月和10月。凋落物收集器5 m邻域范围内, 坡向、土壤温度、树木多样性和胸高断面积之和是该地区森林凋落物总量的主要驱动因素, 且直接正向影响凋落物总量, 而土壤养分通过胸高断面积之和间接影响凋落物总量。连续6年监测结果显示: 广西防城金花茶国家级自然保护区凋落物量季节变化明显, 生物、非生物和土壤因子共同影响着凋落物量的空间分布。
高雅, 刘绮, 刘民峰, 马瑞霞, 黄甫昭, 李冬兴, 向悟生, 丁涛, 王斌, 李先琨, 郭屹立 (2026) 广西防城季节性雨林凋落物量时空动态及驱动因素. 生物多样性, 34, 25326. DOI: 10.17520/biods.2025326.
Ya Gao, Qi Liu, Minfeng Liu, Ruixia Ma, Fuzhao Huang, Dongxing Li, Wusheng Xiang, Tao Ding, Bin Wang, Xiankun Li, Yili Guo (2026) Spatiotemporal dynamics of litterfall production and driving factors in the Fangcheng seasonal rainforest, Guangxi. Biodiversity Science, 34, 25326. DOI: 10.17520/biods.2025326.
图1 广西防城金花茶国家级自然保护区2019-2024年月平均降水量、温度和风速的变化
Fig. 1 Temporal variation in monthly average precipitation, temperature, and wind speed at Guangxi Fangcheng Golden Camellia National Nature Reserve from 2019 to 2024
图2 广西防城金花茶国家级自然保护区1 ha森林动态监测样地凋落物收集器分布图
Fig. 2 Distribution of litterfall collectors within 1-ha forest dynamics plot in Guangxi Fangcheng Golden Camellia National Nature Reserve
| 组分 Components | 凋落物量 Litterfall production (kg/ha) | 比例 Proportion (%) |
|---|---|---|
| 叶 Leaf | 4,521.60 ± 413.30 | 60.24 |
| 枝 Twig | 1,451.97 ± 245.09 | 19.34 |
| 繁殖组织 Reproductive structure | 204.21 ± 32.80 | 2.72 |
| 杂物 Debris | 1,328.60 ± 166.86 | 17.70 |
| 总计 Total | 7,506.38 ± 766.94 | 100.00 |
表1 广西防城金花茶国家级自然保护区2019-2024年凋落物各组分年均产量(平均值 ± 标准误)
Table 1 Annual average production of each litterfall component in Guangxi Fangcheng Golden Camellia National Nature Reserve from 2019 to 2024 (mean ± SE)
| 组分 Components | 凋落物量 Litterfall production (kg/ha) | 比例 Proportion (%) |
|---|---|---|
| 叶 Leaf | 4,521.60 ± 413.30 | 60.24 |
| 枝 Twig | 1,451.97 ± 245.09 | 19.34 |
| 繁殖组织 Reproductive structure | 204.21 ± 32.80 | 2.72 |
| 杂物 Debris | 1,328.60 ± 166.86 | 17.70 |
| 总计 Total | 7,506.38 ± 766.94 | 100.00 |
图3 广西防城金花茶国家级自然保护区2019-2024年凋落物各组分和凋落物总量月动态
Fig. 3 Monthly dynamics of the total and each component litterfall production in Guangxi Fangcheng Golden Camellia National Nature Reserve from 2019 to 2024
图4 广西防城金花茶国家级自然保护区凋落物总量的生态因子与空间结构独立效应加性分解分析
Fig. 4 Additive decomposition analysis of independent effects from ecological factors and spatial structure on total litterfall production in Guangxi Fangcheng Golden Camellia National Nature Reserve
图5 凋落物总量与生态因子和空间结构的变差分解分析
Fig. 5 Variance partitioning analysis of total litterfall production in relation to ecological factors and spatial structure
图6 生物和非生物因子对凋落物总量的相对重要性。BA: 胸高断面积之和; Aspect: 坡向; Soil_TC: 土壤全碳含量; Tree diversity: 树木多样性; Soil_TCa: 土壤全钙含量; Soil_temp: 土壤温度; ACH: 干旱度指数; Slope: 坡度; Elevation: 海拔; TWI: 地形湿润度指数; Convex: 凹凸度。
Fig. 6 Relative importance of biotic and abiotic factors for the total litterfall production. BA, Sum of basal area; Soil_TC, Soil total carbon content; Soil_TCa, Soil total calcium content; Soil_temp, Soil temperature; ACH, Altitude above channel; TWI, Topographic wetness index; Convex, Convexity.
图7 各因子与凋落物总量的回归分析。阴影部分为拟合线的95%置信区间。
Fig. 7 Regression analysis of each factor and the total litterfall production. Shaded area represents 95% confidence intervals of the fitted line.
图8 凋落物总量与其影响因素的偏最小二乘结构方程模型(PLS-SEM)。箭头表示假设的变量间因果关系。实线表示作用路径显著, 虚线表示作用路径不显著。红色箭头表示正相关, 蓝色箭头表示负相关。箭头宽度表示该关系的强度。箭头旁边的值是具有相应统计意义的标准化路径系数。R2表示模型解释的方差百分比。GOF值为模型的拟合优度。* P < 0.05; ** P < 0.01; *** P < 0.001。
Fig. 8 Partial least square-structural equation model (PLS-SEM) of total litterfall production and its influencing factors. BA, Sum of basal area; Soil_TC, Soil total carbon content; Soil_TCa, Soil total calcium content; Soil_temp, Soil temperature. Arrows represent the hypothesized causal relationships between variables. The solid line indicates that the action path is significant, and the dashed line indicates that the action path is not significant. Red color indicates positive relationships. Blue color indicates negative relationships. The arrow width indicates the strength of the relationship. Values next to the arrows are the normalized pathway coefficients with the corresponding statistical significance. Values of R2 represent the percentage of variance explained by the model. The GOF value represents the goodness-of-fit of the model. * P < 0.05; ** P < 0.01; *** P < 0.001.
| 组分 Components | 凋落物总量 Total litterfall production | 叶 Leaf | 枝 Twig | 杂物 Debris |
|---|---|---|---|---|
| 月平均降水量 Monthly average precipitation | 0.26* | 0.21 | 0.29* | 0.27* |
| 月平均温度 Monthly average temperature | 0.30* | 0.36** | 0.14 | 0.29* |
| 月平均风速 Monthly average wind speed | 0.05 | -0.01 | 0.05 | 0.20 |
表2 凋落物总量及各组分与气候因子间的相关性分析结果
Table 2 Correlation analysis between total litterfall and its components and climatic factors. * P < 0.05; ** P < 0.01
| 组分 Components | 凋落物总量 Total litterfall production | 叶 Leaf | 枝 Twig | 杂物 Debris |
|---|---|---|---|---|
| 月平均降水量 Monthly average precipitation | 0.26* | 0.21 | 0.29* | 0.27* |
| 月平均温度 Monthly average temperature | 0.30* | 0.36** | 0.14 | 0.29* |
| 月平均风速 Monthly average wind speed | 0.05 | -0.01 | 0.05 | 0.20 |
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