引用本文: 魏早强，罗珠珠，牛伊宁，蔡立群. 土壤有机碳组分对土地利用方式响应的Meta分析. 草业科学, 2022, 39(6): 1-14 doi: shu

Citation: WEI Z Q, LUO Z Z, NIU Y N, CAI L Q. Meta-analysis of soil organic carbon fraction response to land uses. Pratacultural Science, 2022, 39(6): 1-14 doi: shu

土壤有机碳组分对土地利用方式响应的Meta分析

1.
甘肃农业大学资源与环境学院, 甘肃兰州 730070
2.
甘肃省干旱生境作物学重点实验室, 甘肃兰州 730070

作者简介: 魏早强(1996-)，男，甘肃定西人，在读硕士生，研究方向为土壤生态。E-mail: 3322141472@qq.com

通讯作者: 罗珠珠(1979-)，女，甘肃天水人，教授，博导，博士，研究方向为土壤与植物营养学、农业生态。E-mail: luozz@gsau.cn

基金项目: 国家自然科学基金项目(31860364)；甘肃省科技计划项目(20JR5RA019)；甘肃省国际科技合作基地(GSPT-2018-56)；甘肃省中央财政引导地方科技发展专项(ZCYD-2021-16)。

摘要: 增加土壤有机碳累积对于缓解全球气候变化背景下大气温室效应具有重要意义。为研究不同土地利用方式对土壤有机碳组分的影响，本研究采用整合分析方法(Meta-analysis)研究了林地、果园、天然草地、栽培草地、农田5种不同土地利用方式下0 – 100 cm土壤剖面总有机碳(TOC)及其活性组分的变化特征，并探讨了土壤总有机碳与活性有机碳之间的相关关系。结果表明：与农田(对照)相比，林地和栽培草地均能显著增加0 – 100 cm土层TOC含量(P < 0.05)，增幅达3.1%～26.6%和8.7%～24.7%；天然草地和果园分别对0 – 60、20 – 80 cm土层TOC含量有显著增加作用(P < 0.05)，增幅达6.0%～17.2%和5.6%～19.8%。活性有机碳组分对土地利用方式的响应程度在不同土层也有明显差别，土壤颗粒有机碳(POC)、土壤微生物量有机碳(MBC)在0 – 100 cm土层与TOC具有相似的变化趋势，而土壤易氧化有机碳(EOC)和土壤可溶性有机碳(DOC)略有不同。林地和果园均能显著提高0 – 80 cm土层EOC含量(P < 0.05)，而对80 – 100 cm土层EOC含量无显著影响(P > 0.05)；天然草地和栽培草地近乎在0 – 100 cm整个剖面对EOC含量均有显著增加作用(P < 0.05)；果园和天然草地的DOC含量在0 – 80 cm土层显著增加(P < 0.05)，林地和栽培草地则在0 – 60 cm土层DOC含量显著增加(P < 0.05)。相关分析显示，TOC与EOC、POC、MBC呈极显著正相关关系(P < 0.01)，而与DOC无明显相关关系。综上，与农田相比，林地和栽培草地具有较强的土壤固碳功能。该研究可为土壤有机碳管理提供理论参考。

关键词:

English

Meta-analysis of soil organic carbon fraction response to land uses

1.
College of Resources and Environmental Sciences, Gansu Agricultural University, Lanzhou 730070, Gansu, China
2.
Gansu Key Laboratory of Aridland Crop Science, Lanzhou 730070, Gansu, China

Corresponding author: LUO Zhuzhu　E-mail: luozz@gsau.edu.cn.

Received Date: 2021-05-25
Accepted Date: 2021-10-11
Available Online: 2022-04-01

Abstract: Improving soil carbon sequestration is important in the mitigation of the atmospheric greenhouse effect in the context of global climate change. The effects of different land uses on soil organic carbon fractions were explored by a meta-analysis. This analysis studied the characteristics of soil total organic carbon (TOC) and active organic carbon in the 0 – 100 cm soil layers under five different land uses: Forestland, orchard, natural grassland, artificial grassland, and cropland. In addition, the relationship between TOC and active organic carbon in soil was explored. Compared with cropland (control), both forestland and artificial grassland significantly increased the TOC content of 0 – 100 cm soil layers by 3.1%～26.6% and 8.7%～24.7%, respectively (P < 0.05). Natural grassland and orchard significantly increased the TOC content of 0 – 60 and 20 – 80 cm soil layers by 6.0%～17.2% and 5.6%～19.8%, respectively (P < 0.05). The response of the active organic carbon fraction to land use also differed significantly in different soil layers. Particulate organic carbon (POC) and microbial biomass carbon (MBC) displayed similar trends to TOC in the 0 – 100 cm soil layers, while easily oxidizable carbon (EOC) and dissolved organic carbon (DOC) were slightly different. Both forestland and orchard significantly increased EOC content in the 0 – 80 cm soil (P < 0.05), while there was no significant effect of the EOC content in the 80 – 100 cm soil layer (P > 0.05). Natural grassland and artificial grassland increased EOC content significantly in the 0 – 100 cm soil layers (P < 0.05). DOC content was affected by orchard and natural grassland, and was significantly higher than cropland in the 0 – 80 cm (P < 0.05). DOC content of forestland and artificial grassland was significantly higher than cropland in the 0 – 60 cm soil layers (P < 0.05). There were highly significant positive correlations between TOC and EOC, POC, and MBC (P < 0.01), and no significant correlations with DOC (P > 0.05). Overall, the effect values of soil organic carbon components in different soil depths were heterogeneous due to land uses. Among these uses, forestland and artificial grassland displayed better soil fertility and soil quality maintenance functions. The data provide a theoretical reference for management of soil carbon fraction under different land uses.

Key words:

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图 1 不同土地利用方式下总有机碳、颗粒有机碳、易氧化有机碳、可溶性有机碳及微生物量有机碳含量效应的频率分布

Figure 1. Frequency distribution of content of effect size for TOC, POC, EOC, DOC, and MBC response to different land uses

实线拟合为高斯分布函数。

The curves are Gaussian distributions fit to frequency data.

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图 2 总有机碳含量对不同土地利用方式的响应

Figure 2. Response of content of total organic carbon to different land uses

图中n值表示样本量；虚线表示零刻线；圆点对应横轴的值代表变化率(Y)；横直线上下限对应的值代表95%的置信区间；下图同。

The values of n represent the corresponding number of observations;the dotted line indications zero;the value corresponding to the horizontal axis of the dot represents the change (Y) and to the upper and lower limits of the horizontal line represents 95% Confidence interval;this is applicable for the following figures as well.its of the horizontal line represents 95% Confidence interval;this is applicable for the following figures as well.

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图 3 颗粒有机碳含量对不同土地利用方式的响应

Figure 3. Response of content of particulate organic carbon to different land uses

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图 4 易氧化有机碳含量对不同土地利用方式的响应

Figure 4. Response of content of easily oxidizable carbon to different land uses

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图 5 可溶性有机碳含量对不同土地利用方式的响应

Figure 5. Response of content of dissolved organic carbon to different land uses

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图 6 微生物量有机碳含量对不同土地利用方式的响应

Figure 6. Response of content of microbial biomass carbon to different land uses

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表 1 Meta分析涉及的试验位点基本信息

Table 1. Basic information of the experimental sites included in the meta-analysis

序号 No.	试验地点 Experimental site	经度 Longitude (E)	纬度 Latitude (N)
1	浙江省杭州市 Hangzhou City, Zhejiang Province	119°～120°	29°～30°
3	四川省西部 Western Sichuan Province	102°～103°	31°
4	江西省宜春市奉新县中北部 North-central Fengxin County, Yichun City, Jiangxi Province	115°	28°
5	云南省玉溪市澄江县西南部 Southwest Chengjiang County, Yuxi City, Yunnan Province	102°	24°
6	湖南省邵阳市 Shaoyang City, Hunan Province	111°	27°
7	甘肃省定西市 Dingxi City, Gansu Province	104°	35°
8	甘肃省白银市景泰县 Jingtai County, Baiyin City, Gansu Province	103°～104°	37°
9	贵州省关岭县 Guanling County, Guizhou Province	105°～106°	25°
10	辽宁省丹东凤城市 Dandong City, Liaoning Province	123°～124°	40°～41°
11	西双版纳州纳板河流域国家级自然保护区 Napan River Basin National Nature Reserve, Xishuangbanna Prefecture	100°	20°～22°
12	宁夏回族自治区固原市原州区 Yuanzhou District, Guyuan City, Ningxia Hui Autonomous Region	106°	35°～36°
13	山东省德州市禹城市 Dezhou City, Shandong Province	116°	36°～37°
14	青海省海北藏族自治州 Haibei Tibetan Autonomous Prefecture, Qinghai Province	99°～100°	36°～38°
15	陕西省咸阳市长武县 Changwu County, Xianyang City, Shaanxi Province	107°	34°～35°
16	湖北省宜昌市株归县 Zhugui County, Yichang City, Hubei Province	110°～111°	30°～31°
17	河南省商丘市 Shangqiu City, Henan Province	114°～116°	33°～34°
18	安徽省蚌埠市怀远县 Huaiyuan County, Bengbu City, Anhui Province	117°	33°
19	福建省建瓯市 Jianou City, Fujian Province	118°	27°
20	甘肃省张掖市高台县 Gaotai County, Zhangye City, Gansu Province	99°	39°
21	甘肃省兰州市榆中县兰州大学半干旱气候与环境观测站 Lanzhou University Semi-Arid Climate and Environment Observatory, Yuzhong County, Lanzhou City, Gansu Province	104°	35°
22	中国林业科学研究院沙漠林业实验中心第二、三、四实验场 The Second, Third and Fourth Experimental Sites of the Desert Forestry Experimental Centre of the Chinese Academy of Forestry Sciences	106°～107°	40°

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表 2 土壤总有机碳和活性有机碳组分的样本数据

Table 2. Sample data of soil total organic carbon and active organic carbon components

组别 Group	总有机碳 Total organic carbon	颗粒有机碳 Particulate organic carbon	易氧化有机碳 Easily oxidizable carbon	可溶性有机碳 Dissolved organic carbon	微生物量有机碳 Microbial biomass carbon
文献篇数 Number of articles	76	19	31	33	43
数据对数 Data groups	661	131	194	190	208

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表 3 土地利用方式对土壤有机碳组分含量的异质性检验

Table 3. Heterogeneity test of land uses on soil organic carbon content

指标 Index	样本量 Sample size	平均值 Mean	标准误 Standard error	最小值 Minimum	最大值 Maximum	Q_M	P_QM
总有机碳 Total organic carbon	661	0.561	0.513	−1.242	2.363	880.51	< 0.001
颗粒有机碳 Particulate organic carbon	121	1.121	4.532	−2.319	2.562	595.43	< 0.001
易氧化有机碳 Easily oxidizable carbon	194	0.648	2.583	−0.475	1.772	320.10	< 0.001
可溶性有机碳 Dissolved organic carbon	190	0.287	2.850	−1.886	2.460	439.86	< 0.001
微生物量有机碳 Microbial biomass carbon	208	0.263	4.524	−1.186	1.713	322.50	< 0.001
Q_M、P_QM分别为异质性检验Q统计量、Q统计量显著性。　Q_M is the statistic of heterogeneity test, and P_QM is the significant value of Q.

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表 4 总有机碳与活性有机碳的相关分析

Table 4. Correlation analysis of total organic carbon and soil active organic carbon

指标 Index	总有机碳 Total organic carbon (TOC)	颗粒有机碳 Particulate organic carbon (POC)	易氧化有机碳 Easily oxidizable carbon (EOC)	可溶性有机碳 Dissolved organic carbon (DOC)	微生物量有机碳 Microbial biomass carbon (MBC)
TOC	1.000
POC	0.665^**	1.000
EOC	0.695^**	0.482^**	1.000
DOC	0.152	0.503^**	0.111	1.000
MBC	0.378^**	0.527^**	0.410^**	0.240	1.000
表示显著相关(P < 0.05)；表示极显著相关(P < 0.01)。　 indicates significant correlation at the 0.05 level; ** indicates significant correlation at the 0.01 level.

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声明！

土壤有机碳组分对土地利用方式响应的Meta分析

作者简介: 魏早强(1996-)，男，甘肃定西人，在读硕士生，研究方向为土壤生态。E-mail: 3322141472@qq.com

通讯作者: 罗珠珠(1979-)，女，甘肃天水人，教授，博导，博士，研究方向为土壤与植物营养学、农业生态。E-mail: luozz@gsau.cn

English

Meta-analysis of soil organic carbon fraction response to land uses

Corresponding author: LUO Zhuzhu E-mail: luozz@gsau.edu.cn.

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通讯作者: 陈斌, bchen63@163.com

Corresponding author: LUO Zhuzhu　E-mail: luozz@gsau.edu.cn.