中南林业科技大学学报

广西钦州湾3种典型红树林土壤阳离子交换量特征及保肥能力分析

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甘国娟 ¹ , 刘盼盼 ¹ , 周彩红 ¹ , 李京隆 ¹ , 赵文杰 ¹ , 周伟 ¹ , 田红灯 ²

中南林业科技大学学报 | 生态学 2026,46(9): 153-163

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中南林业科技大学学报 |生态学 2026 , 46 (9) : 153 -163

广西钦州湾3种典型红树林土壤阳离子交换量特征及保肥能力分析

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甘国娟¹, 刘盼盼¹, 周彩红¹, 李京隆¹, 赵文杰¹, 周伟¹, 田红灯²

作者信息

^1.南宁师范大学　a. 北部湾环境演变与资源利用教育部重点实验室；b. 广西地表过程与智能模拟重点实验室；c. 环境与生命科学学院，广西　南宁　530001

^2.广西壮族自治区林业科学研究院　广西林业实验室，广西　南宁　530002

通讯作者:

田红灯（664215129@qq.com），高级工程师，硕士。

作者简介:

甘国娟（ganguojuan2010@163.com），助理研究员，博士。

Analysis of cation exchange capacity and fertilizer retention in three typical mangrove soils from Qinzhou bay, Guangxi

Guojuan Gan¹, Panpan Liu¹, Caihong Zhou¹, Jinglong Li¹, Wenjie Zhao¹, Wei Zhou¹, Hongdeng Tian²

Affiliations

^1.a. Key Laboratory of Environment Change and Resources Use in Beibu Gulf of Ministry of Education; b. Guangxi Key Laboratory of Earth Surface Processes and Intelligent Simulation; c. School of Environment and Life Science, Nanning Normal University, Nanning 530001, Guangxi, China

^2.Guangxi Forestry Research Institute, Guangxi Forestry Laboratory, Nanning 530002, Guangxi, China

出版时间: 2026-09-25 doi: 10.14067/j.cnki.1673-923x.2026.09.014

文章导航

摘要

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【目的】

旨在揭示滨海湿地环境下典型红树林土壤阳离子交换量（Cation exchange capacity，CEC）的树种特异性规律，阐明土壤物理性质-化学性质-生态化学计量比的多尺度耦合驱动机制，并验证CEC作为红树林土壤保肥能力核心指标的生态适配性，为精准提升红树林生态修复过程中土壤肥力调控提供科学依据。

【方法】

以茅尾海的桐花树Aegiceras corniculatum、无瓣海桑Sonneratia apetala和秋茄Kandelia obovata 3种典型红树群落为研究对象，在不同林分中分别设置4个20 m×20 m样地，采用蛇形布点法采集0～60 cm土壤样品，测定土壤CEC、pH值、有机质含量、全氮含量、全磷含量等12项土壤理化指标，采用相关性分析、主成分分析、方差分析并构建偏最小二乘结构方程模型，探究CEC的关键影响因素及其与土壤保肥能力的耦合机制。

【结果】

1）除硝态氮外，其余11项土壤理化指标在树种间差异显著（P<0.05）；0～20 cm表层土壤CEC及多数养分指标显著高于深层土壤（P<0.05），呈现明显的表聚效应。2）CEC受土壤物理性质、化学性质及生态化学计量比的共同影响，其中土壤物理性质总效应最大（通过间接作用调控化学性质），化学性质直接效应最强，二者协同驱动CEC变化，生态化学计量比影响最弱。3）土壤肥力综合指数（Integrated fertility index，IFI）与CEC排序一致（桐花树>无瓣海桑>秋茄），树种差异显著影响土壤CEC与肥力水平，同时验证了CEC作为土壤保肥能力核心评价指标的可靠性。

【结论】

研究区红树林土壤保肥能力中等偏低，土壤富含有机质而氮磷匮乏，保持适宜CEC的关键在于保护有机质的稳定自然积累。建议加快研究区植被恢复，促进植被演替进程，以此提升土壤氮磷水平，改善生态系统供肥保肥性能。

关键词

红树林 / 土壤养分 / 阳离子交换量 / 保肥能力 / 广西钦州湾

Abstract

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【Objective】

This study aimed to reveal the species-specific patterns of soil cation exchange capacity (CEC) in typical mangrove forests within the specific environment of coastal wetlands, elucidate the multi-scale coupled driving mechanisms involving soil physical properties, chemical properties, and ecological stoichiometric ratios, and verify the ecological suitability of CEC as a core indicator of soil nutrient retention capacity in mangrove ecosystems, thereby providing a scientific basis for precisely enhancing the efficiency of soil fertility regulation in mangrove ecological restoration.

【Method】

Taking the three typical communities of Aegiceras corniculatum, Sonneratia apetala, and Kandelia obovata as study objects in Maowei Sea, four plots of 20 m × 20 m were set up in each forest, soil samples were collected within each plot using a zigzag pattern to a depth of 0-60 cm, 12 physical and chemical indicators including soil CEC, pH value, organic matter, total nitrogen, and total phosphorus were determined. Correlation analysis, principal component analysis (PCA), variance partitioning analysis (VPA), and partial least squares structural equation modeling (PLS-SEM) were used to explore the key influencing factors of CEC and its coupling mechanism with nutrient retention capacity.

【Result】

1) Except for nitrate nitrogen, the other 11 soil physical and chemical indicators showed significant differences among tree species (P<0.05); CEC and most nutrient indicators in the 0-20 cm topsoil were significantly higher than those in the subsoil (P<0.05), exhibited an obvious surface accumulation effect; 2) CEC was jointly influenced by soil physical properties, chemical characteristics and ecological stoichiometric ratios. Among them, soil physical properties had the largest total effect (regulating chemical properties through indirect effects), chemical properties had the strongest direct effect, and the two synergistically drove CEC changes, while ecological stoichiometric ratios had the weakest impact; 3) The integrated fertility index (IFI) showed the same order as CEC (Aegiceras corniculatum > Sonneratia apetala > Kandelia obovata), soil CEC and fertility levels were significantly affected by tree species differences, meanwhile, the reliability of CEC as a core indicator of nutrient retention capacity was verified.

【Conclusion】

The comprehensive soil fertility level of mangroves in the study area was generally medium to low. The soil was rich in organic matter but deficient in nitrogen and phosphorus. The key to maintaining appropriate CEC lies in protecting the natural accumulation of organic matter. It is suggested to adopt artificial regulation measures to accelerate vegetation restoration, promote vegetation succession, improve nitrogen and phosphorus levels, and enhance soil nutrient supply and retention capacity.

Key words

mangroves / soil nutrients / cation exchange capacity / nutrient retention capacity / Qinzhou bay in Guangxi

引用本文

甘国娟, 刘盼盼, 周彩红, 李京隆, 赵文杰, 周伟, 田红灯. 广西钦州湾3种典型红树林土壤阳离子交换量特征及保肥能力分析. 中南林业科技大学学报, 2026 , 46 (9) : 153 -163 . DOI: 10.14067/j.cnki.1673-923x.2026.09.014

Guojuan Gan, Panpan Liu, Caihong Zhou, Jinglong Li, Wenjie Zhao, Wei Zhou, Hongdeng Tian. Analysis of cation exchange capacity and fertilizer retention in three typical mangrove soils from Qinzhou bay, Guangxi[J]. Journal of Central South University of Forestry & Technology, 2026 , 46 (9) : 153 -163 . DOI: 10.14067/j.cnki.1673-923x.2026.09.014

基金

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北部湾环境演变与资源利用教育部重点实验室（南宁师范大学）和广西地表过程与智能模拟重点实验室（南宁师范大学）开放或系统基金项目(NNNU-KLOP-K1902)
广西重点研发计划项目(桂科AB24010288)
广西林业科技推广示范项目(2023GXLK07)
广西壮族自治区级大学生创新创业训练计划项目(S202410603089)

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2026年第46卷第9期

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doi: 10.14067/j.cnki.1673-923x.2026.09.014

接收时间：2025-09-16
首发时间：2026-10-30
出版时间：2026-09-25

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收稿日期：2025-09-16
修回日期：2025-11-17

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北部湾环境演变与资源利用教育部重点实验室（南宁师范大学）和广西地表过程与智能模拟重点实验室（南宁师范大学）开放或系统基金项目(NNNU-KLOP-K1902)

广西重点研发计划项目(桂科AB24010288)

广西林业科技推广示范项目(2023GXLK07)

广西壮族自治区级大学生创新创业训练计划项目(S202410603089)

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^2.广西壮族自治区林业科学研究院　广西林业实验室，广西　南宁　530002

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田红灯（664215129@qq.com），高级工程师，硕士。

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2种不同金属材料的力学参数

科 Family	属数 Number of genus	种数 Number of species	占总种数比例 Percentage of total species (%)	属 Genus	种数 Number of species	占总种数比例 Percentage of total species (%)
鹅膏菌科Amanitaceae	2	11	5.26	鹅膏菌属 Amanita	10	4.78
小菇科 Mycenaceae	2	12	5.74	丝盖伞属 Inocybe	5	2.39
多孔菌科 Polyporaceae	8	14	6.70	蜡蘑属 Laccaria	5	2.39
红菇科 Russulaceae	3	23	11.00	小皮伞属 Marasmius	6	2.87
				小菇属 Mycena	11	5.26
				光柄菇属 Pluteus	5	2.39
				红菇属 Russula	17	8.13
				栓菌属 Trametes	5	2.39

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