红树植物秋茄根系固氮微生物群落的稳定性和复杂性及其关键影响因子研究

doi:10.11978/2025123

热带海洋学报 ›› 2026, Vol. 45 ›› Issue (3): 153-163.doi: 10.11978/2025123CSTR: 32234.14.2025123

红树植物秋茄根系固氮微生物群落的稳定性和复杂性及其关键影响因子研究

齐峰¹(), 邓晓杰², 关永鹏², 周盛垚³, 何庆², RAJAPAKSHALAGE Thashikala Nethmini², 李楠², 姜宫凌侠², 陈清香², 雷欣悦², 侯庆华², 黄来珍², 李小蕾², 韦巧艳¹()

¹ 桂林电子科技大学生命与环境科学学院, 广西桂林 541200
² 广东海洋大学海洋与气象学院, 广东湛江 524088
³ 桂林理工大学环境科学与工程学院, 广西桂林 541006

收稿日期:2025-08-06 修回日期:2025-09-24 出版日期:2026-05-10 发布日期:2026-05-28
通讯作者: 韦巧艳。email: wqy@guet.edu.cn
作者简介:
齐峰(2001—), 男, 山西省大同市人, 硕士研究生, 从事海洋微生态研究。email: 18835201665@163.com
基金资助:
广东海洋大学创新团队(海洋灾害预警)项目(2023KCXTD015); 广西科技计划项目(2024GXNSFBA010342); 国家自然科学基金项目(42267018)

Study on the stability and complexity of diazotrophic communities and key driving factors in the root-associated zones of the mangrove plant Kandelia obovata

QI Feng¹(), DENG Xiaojie², GUAN Yongpeng², ZHOU Shengyao³, HE Qing², RAJAPAKSHALAGE Thashikala Nethmini², LI Nan², JIANG Gonglingxia², CHEN Qingxiang², LEI Xinyue², HOU Qinghua², HUANG Laizhen², LI Xiaolei², WEI Qiaoyan¹()

¹ School of Life & Environmental Scinence, Guilin University of Electronic Technology, Guilin 541200, China
² College of Ocean and Meteorology, Guangdong Ocean University, Zhanjiang 524088, China
³ College of Environmental Science and Engineering, Guilin University of Technology, Guilin 541006, China

Received:2025-08-06 Revised:2025-09-24 Online:2026-05-10 Published:2026-05-28
Contact: WEI Qiaoyan. email: wqy@guet.edu.cn

摘要/Abstract

摘要：

红树植物秋茄根系固氮微生物物种组成丰富, 对红树林生态系统氮循环至关重要, 然而, 关于固氮微生物在红树林生态系统中的生态适应机制, 仍不十分清楚。本研究在中国南方的雷州红树林自然保护区分别采集了根内、根际和非根际各75份样品, 基于高通量测序技术和分子生态学方法, 研究了秋茄根内、根际、非根际的固氮微生物组成、多样性、复杂性和稳定性及其主要影响因子。研究发现, α变形菌纲(Alphaproteobacteria)、δ变形菌纲(Deltaproteobacteria)和γ变形菌纲(Gammaproteobacteria)是红树林根系中的优势物种, 其中 α变形菌在根内丰度最高(54.9%), 显著高于根际(37.5%)与非根际(29.1%)。α 多样性显示非根际 Shannon 指数最高, 根际最低(P<0.05); NMDS(non-metric multidimensional scaling) 与 ANOSIM (analysis of similarities) 分析(r=0.659, P<0.001)证实三个区域群落结构差异显著。共现网络分析显示, 根际固氮微生物网络的鲁棒性最高, 非根际连接最密, 根内最复杂但最脆弱。Spearman相关性分析表明, 环境因子对复杂性和稳定性的影响具有区域特异性: 盐度与$ \mathrm{NH}_{4}^{+}-\mathrm{N} $共同驱动非根际与根际的复杂性, $ \mathrm{NO}_{3}^{-}-\mathrm{N} $主要驱动非根际稳定性; 根内复杂性受总硫(total sulfur, TS)与$ \mathrm{NO}_{2}^{-}-\mathrm{N} $显著负影响, 而根际稳定性仅与盐度呈显著正相关。本研究加强了对红树林生态系统中固氮微生物复杂性和群落稳定性的维持机制的理解, 对恢复和维持红树植被生态系统具有重要意义。

关键词: 固氮微生物, 根系, 红树林生态系统, 共现网络, 复杂性, 稳定性

Abstract:

The root-associated diazotrophs of the mangrove species Kandelia obovata exhibit remarkable species richness, which are integral to nitrogen cycling within mangrove ecosystems. However, their ecological adaptation mechanisms remain inadequately understood. In this study, we collected 75 samples each of root endosphere, rhizosphere, and bulk soil from a mangrove nature reserve in Leizhou, South China. Based on high-throughput sequencing and molecular ecological approaches, we investigated the composition, diversity, complexity, and stability of diazotrophs across these three compartments of K. obovata, as well as their main influencing factors. The results showed that Alphaproteobacteria, Deltaproteobacteria, and Gammaproteobacteria were the dominant species in the mangrove root-associated diazotrophs, with Alphaproteobacteria having the highest abundance in the root endosphere (54.9%), significantly higher than that in the rhizosphere (37.5%) and bulk soil (29.1%). α-diversity analysis revealed that the Shannon index was the highest in the bulk soil and the lowest in the rhizosphere (P<0.05). NMDS (Non-metric Multidimensional Scaling) and ANOSIM (Analysis of Similarities) analyses (r=0.659, P<0.001) confirmed significant differences in community structure among the three compartments. Notably, the diazotrophs in the rhizosphere of K. obovata exhibit the lowest α-diversity but highest community stability. Co-occurrence network analysis indicated that diazotrophs network in the rhizosphere was the most robust, the bulk soil network had the highest connectivity, while the endorhizosphere was the most complex yet the most fragile. Spearman correlation analysis demonstrated region-specific effects of environmental factors on complexity and stability: salinity and $ \mathrm{NH}_{4}^{+}-\mathrm{N} $ jointly drove complexity in the bulk soil and rhizosphere, while $ \mathrm{NO}_{3}^{-}-\mathrm{N} $ mainly influenced stability in bulk soil. In the rhizosphere, complexity was significantly negatively correlated with TS and $ \mathrm{NO}_{2}^{-}-\mathrm{N} $, while stability showed significant positive correlation with salinity. This study enhances the understanding of the mechanisms governing the maintenance of complexity and stability of diazotrophs within mangrove ecosystems, holding significant implications for the restoration and conservation of mangrove ecosystems in similar coastal wetlands.

Key words: diazotrophic communities, root-associated zones, mangrove ecosystem, co-occurrence network, complexity, stability

中图分类号:

X172

齐峰, 邓晓杰, 关永鹏, 周盛垚, 何庆, RAJAPAKSHALAGE Thashikala Nethmini, 李楠, 姜宫凌侠, 陈清香, 雷欣悦, 侯庆华, 黄来珍, 李小蕾, 韦巧艳. 红树植物秋茄根系固氮微生物群落的稳定性和复杂性及其关键影响因子研究[J]. 热带海洋学报, 2026, 45(3): 153-163.

QI Feng, DENG Xiaojie, GUAN Yongpeng, ZHOU Shengyao, HE Qing, RAJAPAKSHALAGE Thashikala Nethmini, LI Nan, JIANG Gonglingxia, CHEN Qingxiang, LEI Xinyue, HOU Qinghua, HUANG Laizhen, LI Xiaolei, WEI Qiaoyan. Study on the stability and complexity of diazotrophic communities and key driving factors in the root-associated zones of the mangrove plant Kandelia obovata[J]. Journal of Tropical Oceanography, 2026, 45(3): 153-163.

图/表 7

图1

图2

表1

图3

图4

表2

表3

参考文献 46

[1]	董俊德, 黄小芳, 龙爱民, 等, 2023. 红树林固氮微生物及其生态功能研究进展[J]. 热带海洋学报, 42(4): 1-11.
	DONG JUNDE, HUANG XIAOFANG, LONG AIMIN, et al, 2023. Progress on the nitrogen-fixing microorganisms and their ecological functions in mangroves[J]. Journal of Tropical Oceanography, 42(4): 1-11 (in Chinese with English abstract).
[2]	AL MUSAWI A F, ROY S, GHOSH P, 2023. Examining indicators of complex network vulnerability across diverse attack scenarios[J]. Scientific Reports, 13: 18208. doi: 10.1038/s41598-023-45218-9
[3]	BOLYEN E, RIDEOUT J R, DILLON M R, et al, 2019. Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2[J]. Nature Biotechnology, 37(8): 852-857. doi: 10.1038/s41587-019-0209-9 pmid: 31341288
[4]	CHEN JING, DENG YONGKANG, YU XINHE, et al, 2023. Epichloë endophyte infection changes the root endosphere microbial community composition of Leymus chinensis under both potted and field growth conditions[J]. Microbial Ecology, 85(2): 604-616. doi: 10.1007/s00248-022-01983-0
[5]	CORNELL C R, ZHANG YA, NING DALIANG, et al, 2023. Land use conversion increases network complexity and stability of soil microbial communities in a temperate grassland[J]. The ISME Journal, 17(12): 2210-2220. doi: 10.1038/s41396-023-01521-x
[6]	DENG NIANDONG, NIAN LILI, ZHANG SHUOLUN, et al, 2024. Response of soil microbial community structure to temperature and nitrogen fertilizer in three different provenances of Pennisetum alopecuroides[J]. Frontiers in Microbiology, 15: 1483150. doi: 10.3389/fmicb.2024.1483150
[7]	DENG YE, JIANG Y H, YANG YUNFENG, et al, 2012. Molecular ecological network analyses[J]. BMC Bioinformatics, 13: 113. doi: 10.1186/1471-2105-13-113 pmid: 22646978
[8]	DE VRIES F T, WILLIAMS A, STRINGER F, et al, 2019. Changes in root-exudate-induced respiration reveal a novel mechanism through which drought affects ecosystem carbon cycling[J]. New Phytologist, 224(1): 132-145. doi: 10.1111/nph.16001 pmid: 31218693
[9]	EDWARDS J, JOHNSON C, SANTOS-MEDELLÍN C, et al, 2015. Structure, variation, and assembly of the root-associated microbiomes of rice[J]. Proceedings of the National Academy of Sciences of the United States of America, 112(8): E911-E920.
[10]	GAO XIUMEI, HAN WEIDONG, LIU SHUQING, 2009. The mangrove and its conservation in Leizhou Peninsula, China[J]. Journal of Forestry Research, 20: 174-178. doi: 10.1007/s11676-009-0032-0
[11]	HANSEN B L, DE CASSIA PESSOTTI R, FISCHER M S, et al, 2020. Cooperation, competition, and specialized metabolism in a simplified root nodule microbiome[J]. mBio, 11(4): e01917-20.
[12]	HUANG XIAOFANG, FENG JIANXIANG, DONG JUNDE, et al, 2022. Spartina alterniflora invasion and mangrove restoration alter diversity and composition of sediment diazotrophic community[J]. Applied Soil Ecology, 177: 104519. doi: 10.1016/j.apsoil.2022.104519
[13]	HUANG XIAOFANG, FENG JIANXIANG, YANG QINGSONG, et al, 2023. High site elevation enhanced nitrogen fixation and the stability of diazotrophic community in planted Sonneratia apetala mangrove sediments[J]. Applied Soil Ecology, 191: 105059. doi: 10.1016/j.apsoil.2023.105059
[14]	ISHFAQ M, TAM N F, LANG TAO, et al, 2025. Nitrogen-phosphorus conservation and trade-offs in mangroves[J]. Plant and Soil, 512: 241-260. doi: 10.1007/s11104-024-07130-7
[15]	JANATI W, BENMRID B, ELHAISSOUFI W, et al, 2021. Will phosphate bio-solubilization stimulate biological nitrogen fixation in grain legumes?[J]. Frontiers in Agronomy, 3: 637196. doi: 10.3389/fagro.2021.637196
[16]	KUMAR N, HALDAR S, SAIKIA R, 2023. Root exudation as a strategy for plants to deal with salt stress: an updated review[J]. Environmental and Experimental Botany, 216: 105518. doi: 10.1016/j.envexpbot.2023.105518
[17]	LANDI P, MINOARIVELO H O, BRÄNNSTRÖM Å, et al, 2018. Complexity and stability of ecological networks: a review of the theory[J]. Population Ecology, 60(4): 319-345. doi: 10.1007/s10144-018-0628-3
[18]	LI XIANG, WANG ACHEN, WAN WENJIE, et al, 2021. High salinity inhibits soil bacterial community mediating nitrogen cycling[J]. Applied and Environmental Microbiology, 87(21): e01366-21.
[19]	LI YAN, LI WENJING, JIANG LAMEI, et al, 2024. Salinity affects microbial function genes related to nutrient cycling in arid regions[J]. Frontiers in Microbiology, 15: 1407760. doi: 10.3389/fmicb.2024.1407760
[20]	LIAO NENGJIAN, PAN LIANGHAO, ZHAO HUAXIAN, et al, 2024. Species pool and soil properties in mangrove habitats influence the species-immigration process of diazotrophic communities across southern China[J]. mSystems, 9(8): e00307-24.
[21]	LIU YUNFENG, WANG ZHENZHOU, SUN XIANG, et al, 2025. Specific soil factors drive the differed stochastic assembly of rhizosphere and root endosphere fungal communities in pear trees across different habitats[J]. Frontiers in Plant Science, 16: 1549173. doi: 10.3389/fpls.2025.1549173
[22]	LUO CHENGHUA, HE YIJUN, CHEN YAPING, 2025. Rhizosphere microbiome regulation: Unlocking the potential for plant growth[J]. Current Research in Microbial Sciences, 8: 100322. doi: 10.1016/j.crmicr.2024.100322
[23]	LUO WEN, ZAI XIAOYU, SUN JIEYU, et al, 2021a. Coupling root diameter with rooting depth to reveal the heterogeneous assembly of root-associated bacterial communities in soybean[J]. Frontiers in Microbiology, 12: 783563. doi: 10.3389/fmicb.2021.783563
[24]	LUO ZHIWEN, ZHONG QIUPING, HAN XINGGUO, et al, 2021b. Depth-dependent variability of biological nitrogen fixation and diazotrophic communities in mangrove sediments[J]. Microbiome, 9: 212. doi: 10.1186/s40168-021-01164-0
[25]	MALARD L A, MOD H K, GUEX N, et al, 2022. Comparative analysis of diversity and environmental niches of soil bacterial, archaeal, fungal and protist communities reveal niche divergences along environmental gradients in the Alps[J]. Soil Biology and Biochemistry, 169: 108674. doi: 10.1016/j.soilbio.2022.108674
[26]	MENG XIANGTIAN, LIAO HONGKAI, FAN HAOXIN, et al, 2021. The geographical scale dependence of diazotroph assembly and activity: Effect of a decade fertilization[J]. Geoderma, 386: 114923. doi: 10.1016/j.geoderma.2020.114923
[27]	MINAMISAWA K, NISHIOKA K, MIYAKI T, et al, 2004. Anaerobic nitrogen-fixing consortia consisting of clostridia isolated from gramineous plants[J]. Applied and Environmental Microbiology, 70(5): 3096-3102. doi: 10.1128/AEM.70.5.3096-3102.2004 pmid: 15128572
[28]	OÑA L, SHREEKAR S K, KOST C, 2025. Disentangling microbial interaction networks[J]. Trends in Microbiology, 33(6): 619-634. doi: 10.1016/j.tim.2025.01.013
[29]	RAJGURU B, SHRI M, BHATT V D, 2024. Exploring microbial diversity in the rhizosphere: a comprehensive review of metagenomic approaches and their applications[J]. 3 Biotech, 14(10): 224. doi: 10.1007/s13205-024-04065-9 pmid: 39247454
[30]	RÖSCH C, MERGEL A, BOTHE H, 2002. Biodiversity of denitrifying and dinitrogen-fixing bacteria in an acid forest soil[J]. Applied and Environmental Microbiology, 68(8): 3818-3829. doi: 10.1128/AEM.68.8.3818-3829.2002 pmid: 12147477
[31]	SHARMA A, DEV K, SOURIRAJAN A, et al, 2021. Isolation and characterization of salt-tolerant bacteria with plant growth-promoting activities from saline agricultural fields of Haryana, India[J]. Journal of Genetic Engineering and Biotechnology, 19(1): 99. doi: 10.1186/s43141-021-00186-3
[32]	SUI JINLEI, HE XIAOWEN, YI GUOHUI, et al, 2023. Diversity and structure of the root-associated bacterial microbiomes of four mangrove tree species, revealed by high-throughput sequencing[J]. PeerJ, 11: e16156.
[33]	TANG YUQIAN, QIN DEBIN, TIAN ZHEXIAN, et al, 2023. Diurnal switches in diazotrophic lifestyle increase nitrogen contribution to cereals[J]. Nature Communications, 14: 7516. doi: 10.1038/s41467-023-43370-4 pmid: 37980355
[34]	THATOI H, BEHERA B C, MISHRA R R, et al, 2013. Biodiversity and biotechnological potential of microorganisms from mangrove ecosystems: a review[J]. Annals of Microbiology, 63: 1-19. doi: 10.1007/s13213-012-0442-7
[35]	VANEGAS J, MUÑOZ-GARCÍA A, PÉREZ-PARRA K A, et al, 2019. Effect of salinity on fungal diversity in the rhizosphere of the halophyte Avicennia germinans from a semi-arid mangrove[J]. Fungal Ecology, 42: 100855. doi: 10.1016/j.funeco.2019.07.009
[36]	WANG CHANGTING, WANG GENXU, WU PENGFEI, et al, 2017. Effects of ant mounds on the plant and soil microbial community in an Alpine meadow of Qinghai-Tibet Plateau[J]. Land Degradation & Development, 28(5): 1538-1548. doi: 10.1002/ldr.v28.5
[37]	WANG CONGWEN, PAN XU, YU WANYING, et al, 2023. Aridity and decreasing soil heterogeneity reduce microbial network complexity and stability in the semi-arid grasslands[J]. Ecological Indicators, 151: 110342. doi: 10.1016/j.ecolind.2023.110342
[38]	WANG YOUSHAO, GU JIDONG, 2021. Ecological responses, adaptation and mechanisms of mangrove wetland ecosystem to global climate change and anthropogenic activities[J]. International Biodeterioration & Biodegradation, 162: 105248.
[39]	WANG YANSU, ZOU QUAN, 2024. Deciphering microbial adaptation in the rhizosphere: insights into niche preference, functional profiles, and cross-kingdom co-occurrences[J]. Microbial Ecology, 87: 74. doi: 10.1007/s00248-024-02390-3 pmid: 38771320
[40]	XIE XIAOYU, LI HAOMING, CHEN XINPING, et al, 2025. Rhizosphere phosphatase hotspots: microbial-mediated P transformation mechanisms influenced by maize varieties and phosphorus addition[J]. Plant and Soil, 512: 1577-1593. doi: 10.1007/s11104-024-07164-x
[41]	XU DELIANG, WANG QIKANG, GAO MENG, et al, 2024. Diversity of nitrogen-fixing bacteria in Suaeda salsa rhizosphere during reproduction in the Yellow River delta[J]. iScience, 27(12): 111267. doi: 10.1016/j.isci.2024.111267
[42]	YU YANG, ZHOU YONG, JANSSENS I A, et al, 2024. Divergent rhizosphere and non-rhizosphere soil microbial structure and function in long-term warmed steppe due to altered root exudation[J]. Global Change Biology, 30(1): e17111. doi: 10.1111/gcb.v30.1
[43]	YUAN M M, GUO XUE, WU LINWEI, et al, 2021. Climate warming enhances microbial network complexity and stability[J]. Nature Climate Change, 11(4): 343-348. doi: 10.1038/s41558-021-00989-9
[44]	YUAN ZONGSHENG, ZENG ZHIHAO, LIU FANG, 2023. Community structures of mangrove endophytic and rhizosphere bacteria in Zhangjiangkou National Mangrove Nature Reserve[J]. Scientific Reports, 13: 17127.
[45]	ZHANG CUIJING, PAN JIE, DUAN CHANGHAI, et al, 2019. Prokaryotic diversity in mangrove sediments across southeastern China fundamentally differs from that in other biomes[J]. mSystems, 4(5): e00442-19.
[46]	ZHUANG WEI, YU XIAOLI, HU RUIWEN, et al, 2020. Diversity, function and assembly of mangrove root-associated microbial communities at a continuous fine-scale[J]. npj Biofilms and Microbiomes, 6: 52. doi: 10.1038/s41522-020-00164-6 pmid: 33184266

环境因子	Shannon指数
环境因子	非根际(BS)	根(R)	根际(RS)
氧化还原电位ORP/mV	0.68^***	0.1	-0.35
pH	0.08	0.29	-0.49^*
温度/℃	-0.63^***	-0.88^***	0.78^***
盐度/‰	0.35	-0.49^*	0.29
总硫TS/%	-0.14	0.29	0.1
硫酸盐 $\mathrm{SO}_{4}^{2-}$/(mg·g^-1)	-0.02	0.1	0.2
总磷TP/(mg·g^-1)	-0.04	-0.69^***	0.59^**
磷酸盐 $\mathrm{PO}_{4}^{3-}$/(mg·g^-1)	0.04	0.69^***	-0.59^**
总氮TN/%	0.8^***	0.15	-0.4^*
总碳 TC/%	0.35	0.1	0.05
总有机碳 TOC/%	-0.08	-0.29	0.49^*
亚硝态氮 $\mathrm{NO}_{2}^{-}-\mathrm{N}$/(μmol·L^-1)	-0.67^***	-0.39	0.69^***
硝态氮 $\mathrm{NO}_{3}^{-}-\mathrm{N}$/(μmol·L^-1)	-0.45^*	-0.69^***	0.59^**
氨氮 $ \mathrm{NH}_{4}^{+}-\mathrm{N}$/(μmol·L^-1)	0.18	-0.69^***	0.49^*

参数	非根际(BS)	根内(R)	根际(RS)
节点数(nodes number)	104	90	98
边数(edges number)	1444	1471	764
平均度(average degree)	27.769	32.689	15.592
平均路径长度(average path length)	2.187	1.974	2.368
网络直径(graph diameter)	5	6	5
网络密度(graph density)	0.27	0.367	0.161
平均聚类系数(average clustering coefficient)	0.702	0.721	0.59
模块化(modularity)	0.281	0.16	0.478
正相关比例(positive correlation)	0.962	0.967	0.67

环境因子	BS		R		RS
环境因子	复杂性	稳定性	复杂性	稳定性	复杂性	稳定性
ORP/mV	0.3	0.56	0.35	0.36	-0.6^**	0.31
pH	-0.59^**	0.2	0.29	0.5	0.59^**	-0.6
温度/℃	0.29	-0.9^*	0.1	-0.8	0	0.3
盐度/‰	0.98^***	-0.4	0.49^*	-0.3	-0.78^***	1^***
TS/%	-0.1	0.3	-0.69^***	-0.1	-0.1	-0.1
$ \mathrm{SO}_{4}^{2-}$/(mg·g^-1)	0.29	0	-0.39	-0.2	-0.29	0.3
TP/(mg·g^-1)	0.88^***	-0.7	0.29	-0.6	-0.59^**	0.9^*
PO₄^3-/(mg·g^-1)	-0.88^***	0.7	-0.29	0.6	0.59^**	-0.9^*
TN/%	0.7^***	0.21	0.65^***	0.41	-0.65^***	0.72
TC/%	0.55^**	0.21	-0.15	-0.05	-0.65^***	0.56
TOC/%	0.59^**	-0.2	-0.29	-0.5	-0.59^**	0.6
$ \mathrm{NO}_{2}^{-}-\mathrm{N}$/(μmol·L^-1)	-0.2	0.1	-0.88^***	-0.7	-0.2	-0.2
$ \mathrm{NO}_{3}^{-}-\mathrm{N}$/(μmol·L^-1)	0.39	-1^***	0.29	-0.6	0.1	0.4
$ \mathrm{NH}_{4}^{+}-\mathrm{N}$/(μmol·L^-1)	0.88^***	-0.3	0.29	-0.5	-0.88^***	0.9^*

红树植物秋茄根系固氮微生物群落的稳定性和复杂性及其关键影响因子研究

Study on the stability and complexity of diazotrophic communities and key driving factors in the root-associated zones of the mangrove plant Kandelia obovata

RichHTML

PDF (PC)

赞

可视化

摘要/Abstract

引用本文

使用本文

图/表 7

参考文献 46

相关文章 11

Metrics

本文评价

推荐阅读 0

[1]	关焯强, 杨涛, 谢玲玲, 李君益. 基于卫星影像的湛江湾水动力环境演变特征分析[J]. 热带海洋学报, 2026, 45(3): 50-60.
[2]	杨天炜, 林军, 焦俊鹏, 吴越. 网采镜检与全息粒子成像综合分析贻贝养殖区浮游植物群落特征[J]. 热带海洋学报, 2025, 44(6): 91-107.
[3]	赵明辉, SENANAYAKA Dasun, 程锦辉, 周勇, 曹令敏, 赵磊, 罗耀, 张镇秋, 潘刚, THALDENA Nilmini, 张佳政, 张亚运, 徐敏. 斯里兰卡沿海城市综合地质灾害监测平台建设与研究展望^*[J]. 热带海洋学报, 2025, 44(5): 12-21.
[4]	覃茂刚, 龙根元, 李海云, 黄海波, 陈万利, 陈文. 基于K-means聚类层次分析模型的中沙环礁地质环境稳定性定量分析[J]. 热带海洋学报, 2023, 42(2): 113-123.
[5]	陈靓, 刘时桥, 辛卓, 邢子浩, 张经纬, 刘亮, 靳佳澎, 李伟, 陈万利. 南海西沙海域永乐海底峡谷形成演化过程分析^*[J]. 热带海洋学报, 2022, 41(5): 89-104.
[6]	潘炜杰, 祝振昌, 蔡宴朋, 杨志峰. 潮滩冲淤扰动下外来与乡土红树植物幼苗稳定性差异[J]. 热带海洋学报, 2021, 40(6): 120-127.
[7]	欧素英, 罗凯文, 田枫. 柘林湾多口门潮汐汊道动力地貌的演变[J]. 热带海洋学报, 2016, 35(2): 83-92.
[8]	石萍, 曹玲珑, 莫文渊, 谢健. 人工岛建设对海口湾西海岸岸滩稳定性影响[J]. 热带海洋学报, 2015, 34(5): 57-63.
[9]	周晗宇，陈沈良，钟小菁，王道儒，陈燕萍，谷国传. 海口湾西海岸海滩沉积物与海滩稳定性分析[J]. 热带海洋学报, 2013, 32(1): 26-34.
[10]	徐昭巢纪平, 冯立成. 跨赤道经向流的不稳定性[J]. 热带海洋学报, 2012, 31(6): 1-5.
[11]	詹文欢,詹美珍,孙宗勋,姚衍桃,张志强,张帆,. 雷州半岛西南部珊瑚礁礁体结构与场地稳定性分析[J]. 热带海洋学报, 2010, 29(3): 151-154.