植物生态学报 ›› 2018, Vol. 42 ›› Issue (2): 153-163.DOI: 10.17521/cjpe.2017.0184
所属专题: 青藏高原植物生态学:种群生态学; 凋落物
出版日期:
2018-02-20
发布日期:
2018-04-16
通讯作者:
武启骞 ORCID:0000-0002-4371-6303 王传宽 ORCID:0000-0003-3513-5426
基金资助:
Online:
2018-02-20
Published:
2018-04-16
Contact:
WU Qi-Qian ORCID:0000-0002-4371-6303 Chuan-Kuan WANG ORCID:0000-0003-3513-5426
Supported by:
摘要:
气候变化导致的冬季雪被格局变化将改变地表水热环境及分解者活性, 从而显著影响高寒地区森林凋落物分解过程。2014-2016年采用凋落物分解袋法, 研究了帽儿山森林生态站人工林控雪模拟试验下红松(Pinus koraiensis)和蒙古栎(Quercus mongolica)的凋落叶于雪被期和无雪期不同阶段的分解动态。控雪试验包括增雪、除雪和对照3个处理。结果发现: 树种、控雪处理、分解阶段以及环境因子(凋落物层平均温度、冻融循环次数、有机层全氮、全磷含量等)均影响着凋落叶分解率。分解试验的两年内, 不同控雪处理下红松凋落叶的分解率为52.1%-54.5%, 蒙古栎为53.9%-59.1%。两种凋落叶的分解系数均以增雪处理最大, 除雪处理最小。此外, 控雪处理改变了两种凋落叶雪被期或无雪期对分解总量的贡献率。与对照相比, 增雪处理使红松和蒙古栎凋落叶雪被期的分解贡献率分别提高9.1%和10.4%; 而除雪处理使两种凋落叶无雪期的分解贡献率分别提高10.4%和12.7%。因此, 由气候变化带来的冬季雪被改变不但会显著影响温带森林凋落叶的分解过程, 而且会改变雪被期和无雪期的分解量对年分解总量的贡献率。
武启骞, 王传宽. 控雪处理下红松和蒙古栎凋落叶分解动态. 植物生态学报, 2018, 42(2): 153-163. DOI: 10.17521/cjpe.2017.0184
WU Qi-Qian, WANG Chuan-Kuan. Dynamics in foliar litter decomposition for Pinus koraiensis and Quercus mongolica in a snow-depth manipulation experiment. Chinese Journal of Plant Ecology, 2018, 42(2): 153-163. DOI: 10.17521/cjpe.2017.0184
图2 大气温度和不同处理的凋落物层温度动态(平均值, n = 3)。A, 大气温度和对照(CK)中凋落物层温度。B, 增雪处理(SA)和除雪处理(SR)与对照相比的凋落物层的温差。正值代表处理后温度升高, 负值代表处理后温度降低。
Fig. 2 Dynamics in air temperature and the temperatures at the litter layer in different treatment plots (mean, n = 3). A, average air temperature and temperature at the litter layer under the control (CK). B, difference in the temperature between the snow-addition (SA) or snow-removal treatment (SR) and the control. Positive value indicates increased temperature after the treatment, while negative value indicates decreased temperature after the treatment.
树种 Tree species | 有机碳 Organic carbon (g·kg-1) | 全氮 Total nitrogen (g·kg-1) | 全磷 Total phosphorus (g·kg-1) | 碳/氮 C/N | 碳/磷 C/P | 氮/磷 N/P | 木质素 Lignin (%) | 纤维素 Cellulose (%) | 木质素/氮 Lignin/N |
---|---|---|---|---|---|---|---|---|---|
红松 Pinus koraiensis | 489.6 ± 1.4a | 4.5 ± 0.1b | 0.55 ± 0.01b | 107.0 ± 1.2a | 893.5 ± 6.1a | 8.1 ± 0.5a | 29.8 ± 0.3a | 14.6 ± 0.4a | 66.8 ± 0.2a |
蒙古栎 Quercus mongolica | 458.8 ± 5.1b | 6.5 ± 0.1a | 1.30 ± 0.05a | 71.1 ± 0.6b | 351.7 ± 13.5b | 4.9 ± 0.2b | 16.1 ± 0.1b | 12.9 ± 0.1b | 25.0 ± 0.6b |
表1 红松和蒙古栎凋落叶的初始质量(平均值±标准偏差, n = 5)
Table 1 The initial quality of the foliar litter of Pinus koraiensis and Quercus mongolica (mean ± SD, n = 5)
树种 Tree species | 有机碳 Organic carbon (g·kg-1) | 全氮 Total nitrogen (g·kg-1) | 全磷 Total phosphorus (g·kg-1) | 碳/氮 C/N | 碳/磷 C/P | 氮/磷 N/P | 木质素 Lignin (%) | 纤维素 Cellulose (%) | 木质素/氮 Lignin/N |
---|---|---|---|---|---|---|---|---|---|
红松 Pinus koraiensis | 489.6 ± 1.4a | 4.5 ± 0.1b | 0.55 ± 0.01b | 107.0 ± 1.2a | 893.5 ± 6.1a | 8.1 ± 0.5a | 29.8 ± 0.3a | 14.6 ± 0.4a | 66.8 ± 0.2a |
蒙古栎 Quercus mongolica | 458.8 ± 5.1b | 6.5 ± 0.1a | 1.30 ± 0.05a | 71.1 ± 0.6b | 351.7 ± 13.5b | 4.9 ± 0.2b | 16.1 ± 0.1b | 12.9 ± 0.1b | 25.0 ± 0.6b |
取样顺序 Sampling order | 取样阶段 Sampling stage | 取样日期 Sampling date | 分解天数 Decomposing days |
---|---|---|---|
1 | 第一年冻结初期 1st year freezing onset stage | 2014-12-02 | 49 |
2 | 第一年深冻期 1st year deep freezing stage | 2015-03-18 | 145 |
3 | 第一年融化期 1st year thawing stage | 2015-04-18 | 176 |
4 | 第一年无雪初期 1st year early snow-free season | 2015-06-20 | 239 |
5 | 第一年无雪中期 1st year mid snow-free season | 2015-08-20 | 300 |
6 | 第一年无雪末期 1st year late snow-free season | 2015-10-20 | 366 |
7 | 第二年冻结初期 2nd year freezing onset stage | 2015-12-25 | 407 |
8 | 第二年深冻期 2nd year deep freezing stage | 2016-03-25 | 516 |
9 | 第二年融化期 2nd year thawing stage | 2016-04-22 | 544 |
10 | 第二年无雪初期 2nd year early snow-free season | 2016-06-20 | 603 |
11 | 第二年无雪中期 2nd year mid snow-free season | 2016-08-22 | 666 |
12 | 第二年无雪末期 2nd year late snow-free season | 2016-10-24 | 732 |
表2 凋落叶分解过程中的取样阶段、日期及分解天数
Table 2 Sampling stages, dates and decomposition days across the decomposition process of the foliar litter
取样顺序 Sampling order | 取样阶段 Sampling stage | 取样日期 Sampling date | 分解天数 Decomposing days |
---|---|---|---|
1 | 第一年冻结初期 1st year freezing onset stage | 2014-12-02 | 49 |
2 | 第一年深冻期 1st year deep freezing stage | 2015-03-18 | 145 |
3 | 第一年融化期 1st year thawing stage | 2015-04-18 | 176 |
4 | 第一年无雪初期 1st year early snow-free season | 2015-06-20 | 239 |
5 | 第一年无雪中期 1st year mid snow-free season | 2015-08-20 | 300 |
6 | 第一年无雪末期 1st year late snow-free season | 2015-10-20 | 366 |
7 | 第二年冻结初期 2nd year freezing onset stage | 2015-12-25 | 407 |
8 | 第二年深冻期 2nd year deep freezing stage | 2016-03-25 | 516 |
9 | 第二年融化期 2nd year thawing stage | 2016-04-22 | 544 |
10 | 第二年无雪初期 2nd year early snow-free season | 2016-06-20 | 603 |
11 | 第二年无雪中期 2nd year mid snow-free season | 2016-08-22 | 666 |
12 | 第二年无雪末期 2nd year late snow-free season | 2016-10-24 | 732 |
处理 Treatment | 凋落物层 平均温度 Average temperature in litter layer (°C) | 凋落物层 冻融循环 Freeze-thaw cycle in litter layer | 有机层有机碳 Organic carbon in organic layer (g·kg-1) | 有机层全氮 Total nitrogen in organic layer (g·kg-1) | 有机层全磷 Total phosphorus in organic layer (g·kg-1) | 有机层碳/氮 C/N in organic layer | 有机层碳/磷 C/P in organic layer | 有机层氮/磷 N/P in organic layer |
---|---|---|---|---|---|---|---|---|
增雪 Snow-addition | 4.4 ± 0.3a | 58 ± 1c | 81.4 ± 2.2a | 7.4 ± 0.2a | 1.3 ± 0.1a | 10.9 ± 0.2b | 62.4 ± 0.3c | 5.5 ± 0.2c |
对照 Control | 3.8 ± 0.2b | 70 ± 1b | 75.4 ± 1.1b | 6.6 ± 0.3b | 0.9 ± 0.2b | 11.2 ± 0.2b | 83.9 ± 0.4b | 7.2 ± 0.1b |
除雪 Snow-removal | 2.7 ± 0.5c | 84 ± 2a | 72.6 ± 0.6c | 6.1 ± 0.1c | 0.7 ± 0.1c | 12.0 ± 0.3a | 104.3 ± 0.6a | 8.7 ± 0.3a |
表3 不同处理下凋落叶分解过程中环境特征(平均值±标准偏差, n = 3)
Table 3 Characteristics of environmental conditions in different treatment plots during the decomposition process of the foliar litter (mean ± SD, n = 3)
处理 Treatment | 凋落物层 平均温度 Average temperature in litter layer (°C) | 凋落物层 冻融循环 Freeze-thaw cycle in litter layer | 有机层有机碳 Organic carbon in organic layer (g·kg-1) | 有机层全氮 Total nitrogen in organic layer (g·kg-1) | 有机层全磷 Total phosphorus in organic layer (g·kg-1) | 有机层碳/氮 C/N in organic layer | 有机层碳/磷 C/P in organic layer | 有机层氮/磷 N/P in organic layer |
---|---|---|---|---|---|---|---|---|
增雪 Snow-addition | 4.4 ± 0.3a | 58 ± 1c | 81.4 ± 2.2a | 7.4 ± 0.2a | 1.3 ± 0.1a | 10.9 ± 0.2b | 62.4 ± 0.3c | 5.5 ± 0.2c |
对照 Control | 3.8 ± 0.2b | 70 ± 1b | 75.4 ± 1.1b | 6.6 ± 0.3b | 0.9 ± 0.2b | 11.2 ± 0.2b | 83.9 ± 0.4b | 7.2 ± 0.1b |
除雪 Snow-removal | 2.7 ± 0.5c | 84 ± 2a | 72.6 ± 0.6c | 6.1 ± 0.1c | 0.7 ± 0.1c | 12.0 ± 0.3a | 104.3 ± 0.6a | 8.7 ± 0.3a |
图3 不同处理下两个树种的凋落叶分解率的比较及时间动态(平均值±标准偏差, n = 3)。*和不同字母代表处理间差异显著(p < 0.05)。
Fig. 3 Comparisons and dynamics in the foliar litter decomposition rates of the two tree species under different treatments (mean ± SD, n = 3). * and different letters indicate significant differences among the treatments (p < 0.05).
树种 Tree species | 处理 Treatment | 回归方程 Regression model | k | R2 | 半分解时间 t0.5 (month) | 95%分解时间 t0.95 (month) |
---|---|---|---|---|---|---|
红松 Pinus koraiensis | 增雪 Snow-addition | y = 99.691e-0.030t | 0.030 | 0.982 | 23.00 | 99.75 |
对照 Control | y = 101.398e-0.029t | 0.029 | 0.979 | 24.38 | 103.78 | |
除雪 Snow-removal | y = 102.545e-0.027t | 0.027 | 0.965 | 26.60 | 111.88 | |
蒙古栎 Quercus mongolica | 增雪 Snow-addition | y = 100.026e-0.037t | 0.037 | 0.984 | 18.74 | 80.97 |
对照 Control | y = 100.342e-0.034t | 0.034 | 0.973 | 20.49 | 88.21 | |
除雪 Snow-removal | y = 103.359e-0.031t | 0.031 | 0.955 | 23.42 | 97.70 |
表4 不同处理下红松和蒙古栎凋落叶分解模型、分解系数(k)、决定系数(R2)、半分解(t0.5)和95%分解时间(t0.95)
Table 4 The decomposition model, decomposition coefficient (k), determination coefficient (R2), time of 50% and 95% decomposition of the foliar litter of Pinus koraiensis and Quercus mongolica under different treatments
树种 Tree species | 处理 Treatment | 回归方程 Regression model | k | R2 | 半分解时间 t0.5 (month) | 95%分解时间 t0.95 (month) |
---|---|---|---|---|---|---|
红松 Pinus koraiensis | 增雪 Snow-addition | y = 99.691e-0.030t | 0.030 | 0.982 | 23.00 | 99.75 |
对照 Control | y = 101.398e-0.029t | 0.029 | 0.979 | 24.38 | 103.78 | |
除雪 Snow-removal | y = 102.545e-0.027t | 0.027 | 0.965 | 26.60 | 111.88 | |
蒙古栎 Quercus mongolica | 增雪 Snow-addition | y = 100.026e-0.037t | 0.037 | 0.984 | 18.74 | 80.97 |
对照 Control | y = 100.342e-0.034t | 0.034 | 0.973 | 20.49 | 88.21 | |
除雪 Snow-removal | y = 103.359e-0.031t | 0.031 | 0.955 | 23.42 | 97.70 |
因子 Factor | df | F | p |
---|---|---|---|
树种 Tree species | 1/2 | 85.9 | <0.001 |
雪深 Snow-depth | 2/12 | 52.8 | <0.001 |
分解阶段 Decomposition stage | 11/48 | 3371.1 | <0.001 |
树种×雪深 Tree species × Snow-depth | 2/12 | 4.33 | 0.014 |
树种×分解阶段 Tree species × Decomposition stage | 11/48 | 21.5 | <0.001 |
雪深×分解阶段 Snow-depth × Decomposition stage | 22/48 | 3.58 | 0.028 |
树种×雪深×分解阶段 Tree species × Snow-depth × Decomposition stage | 22/48 | 3.16 | 0.045 |
表5 凋落叶分解率与树种、雪深和分解阶段的重复测量方差分析
Table 5 Repeated-measures ANOVA analysis on effects of tree species, snow-depth and decomposition stage on the decomposition rate of the foliar litter
因子 Factor | df | F | p |
---|---|---|---|
树种 Tree species | 1/2 | 85.9 | <0.001 |
雪深 Snow-depth | 2/12 | 52.8 | <0.001 |
分解阶段 Decomposition stage | 11/48 | 3371.1 | <0.001 |
树种×雪深 Tree species × Snow-depth | 2/12 | 4.33 | 0.014 |
树种×分解阶段 Tree species × Decomposition stage | 11/48 | 21.5 | <0.001 |
雪深×分解阶段 Snow-depth × Decomposition stage | 22/48 | 3.58 | 0.028 |
树种×雪深×分解阶段 Tree species × Snow-depth × Decomposition stage | 22/48 | 3.16 | 0.045 |
图4 不同处理下雪被期和无雪期对两个树种凋落叶分解总量的相对贡献(平均值, n = 3)。
Fig. 4 Relative contribution of litter loss during the snow-covered and snow-free seasons to the total annual litter loss for the two tree species under different treatments (mean, n = 3).
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