黄、渤海沉积物耗氧速率的时空分布特征和环境影响因素

朱若思; 宋国栋; 刘素美

doi:10.12284/hyxb2024074

黄、渤海沉积物耗氧速率的时空分布特征和环境影响因素

doi: 10.12284/hyxb2024074

朱若思^{1, 2, 3,},
宋国栋^{1, 2, ,},
刘素美^{1, 2}

1.
中国海洋大学深海圈层与地球系统前沿科学中心海洋化学理论与工程技术教育部重点实验室，山东青岛 266100
2.
青岛海洋科技中心海洋生态与环境科学功能实验室，山东青岛 266237
3.
中国海洋大学化学化工学院，山东青岛 266100

基金项目: 国家自然科学基金项目（42076035，42376044，U1806211）；泰山学者项目。

详细信息

作者简介:
朱若思（1999—），男，江西省上饶市人，主要从事海洋生物地球化学研究。E-mail：rosezhu@stu.ouc.edu.cn

通讯作者:
宋国栋，男，副教授，主要从事海洋生物地球化学研究。E-mail: gsong@ouc.edu.cn

中图分类号: P736.21
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出版历程
- 收稿日期: 2024-01-23
- 修回日期: 2024-03-26
- 网络出版日期: 2024-05-14
- 刊出日期: 2024-05-01

Characteristics of spatial and temporal distribution of sediment oxygen consumption rate and environmental influence factors in the Yellow Sea and Bohai Sea

Zhu Ruosi^{1, 2, 3
,},
Song Guodong^{1, 2
, ,},
Liu Sumei^{1, 2}

1.
Frontiers Science Center of Deep Ocean Multispheres and Earth System, and Key Laboratory of Marine Chemistry Theory and Technology, Ministry of Education, Ocean University of China, Qingdao 266100, China
2.
Laboratory for Marine Ecology and Environmental Science, Qingdao Marine Science and Technology Center, Qingdao 266237, China
3.
College of Chemistry and Chemical Engineering, Ocean University of China, Qingdao 266100, China

摘要

摘要: 沉积物耗氧（SOC）是海洋沉积物重要参数，是海底沉积物有机质矿化速率的重要表征参数，开展沉积物耗氧的研究有助于了解整个海洋的碳循环过程。陆架边缘海作为有机质矿化和埋藏最重要和最活跃的场所之一，在全世界已经受到广泛关注与研究，但是对于具有海洋环境典型季节变化的中国边缘海区域，尤其是黄、渤海仍然缺乏相应的关注。本文使用整柱培养法，分别于2022年4月、7月和10月对黄、渤海沉积物耗氧进行研究，结果表明黄、渤海沉积物耗氧速率为7.11～17.33 mmol/(m²·d)。黄海春季沉积物耗氧速率与渤海无显著差异（ANOVA，p > 0.05），夏季（ANOVA，p < 0.01）和秋季（ANOVA，p < 0.01）黄海沉积物耗氧速率低于渤海；黄海春季沉积物耗氧速率最高，秋季次之，夏季最小，渤海夏季和秋季接近，显著高于春季（ANOVA，p < 0.05），温度和沉积物Chl a浓度是主要影响因素。同时，用沉积物耗氧速率来评估海底有机质矿化速率，并与初级生产力相比较，结果表明渤海海底有机质矿化与初级生产力的占比范围为42.8%～74.5%，是渤海碳循环的关键环节之一，黄海海底沉积物有机质矿化在黄海碳循环中作用不如渤海显著。本文系统研究了黄、渤海沉积物耗氧速率及其时空分布特征，探究了黄、渤海地区有机质矿化对初级生产力的贡献，为理解黄、渤海区域有机质矿化和埋藏提供理论支持。
- 沉积物耗氧 /
- 有机质矿化 /
- 温度 /
- 沉积物Chl a /
- 黄、渤海
Abstract: Sediment oxygen consumption (SOC) is an important parameter of marine sediments and an important characterization parameter of the rate of organic carbon mineralization in seafloor sediments, and the study of SOC can help us to understand the carbon cycling process in the whole ocean. As one of the most important and active sites for organic carbon mineralization and burial, marginal seas have received widespread attention and research around the world, but there is still a lack of relevant attention to the Chinese marginal sea region with typical seasonal variations of the marine environment, especially the Yellow Sea and Bohai Sea. In this paper, the intact core incubation was used to study the SOC in the Yellow Sea and Bohai Sea in April, July and October 2022, and the results showed that the rates of SOC ranged from 7.11 mmol/(m²·d) to 17.33 mmol/(m²·d). There was no significant difference between the SOC of the Yellow Sea and the Bohai Sea in spring (ANOVA, p > 0.05), and the SOC of the Yellow Sea was lower than Bohai Sea in summer (ANOVA, p < 0.01) and autumn (ANOVA, p < 0.01); the SOC of the Yellow Sea was the largest in spring and the smallest in summer, and there was no significant difference between the SOC of the Bohai Sea in summer and autumn, which were significantly higher than that of spring (ANOVA, p < 0.05). Temperature and sediment Chl a concentration were the influencing factors. Meanwhile, the SOC was used to assess the rate of benthic organic carbon mineralization. When compared with the primary productivity, the results indicated that the contribution of benthic organic carbon mineralization to primary productivity in the Bohai Sea ranged from 42.8% to 74.5%, which was one of the key links in the carbon cycle of the Bohai Sea, while the benthic organic carbon mineralization in Yellow Sea plays a less significant role in the carbon cycle of the Yellow Sea carbon cycle than Bohai Sea. This paper systematically studied the SOC in the Yellow Sea and Bohai Sea and its spatial and temporal distribution characteristics, exploring the contribution of organic carbon mineralization to primary productivity in the Yellow Sea and Bohai Sea, which provided theoretical support for the understanding of organic carbon mineralization and burial in the Yellow Sea and Bohai Sea.
- sediment oxygen consumption /
- organic carbon mineralization /
- temperature /
- sediment Chl a /
- Yellow Sea and Bohai Sea

HTML全文

图 1 春季（a）、夏季（b）和秋季（c）背景叶绿素a浓度及黄、渤海取样站点（d）

数据源于NASA Ocean Color（https://oceancolor.gsfc.nasa.gov/l3/）

Fig. 1 Background chlorophyll a concentration in the Yellow Sea and Bohai Sea in spring (a), summer (b), autumn (c) and sampling stations (d)

The data are based on the online data of NASA Ocean Color (https://oceancolor.gsfc.nasa.gov/l3/)

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图 2 黄、渤海沉积物耗氧速率空间分布（春季（a）、夏季（b）和秋季（c）)和季节变化（d)（单位：mmol/(m²·d)）

Fig. 2 Spatial distribution (spring (a), summer (b) and autumn (c))and seasonal variation (d) of SOC in the Yellow Sea and Bohai Sea (unit: mmol/(m²·d))

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图 3 黄、渤海沉积物耗氧速率与环境因子相关性分析

叶绿素比值：沉积物中Chl a/脱镁叶绿酸；圆圈的颜色和大小代表着两个变量之间的相关程度，其值介于−1与1之间，与色标对应；“*”代表着两个变量之间存在显著的相关性（p < 0.05）

Fig. 3 Correlation analysis between sediment oxygen consumption rates and environmental factors in the Yellow Sea and Bohai Sea

Chlorophyll ratio: Chl a/pheophytin in sediment; the color and size of the circles represent the degree of correlation between the two variables, which ranges from −1 to 1, corresponding to the color scale; the “*” represents a significant correlation between the two variables ( p < 0.05)

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图 4 多元线性回归中不同环境因子的决定系数（Chl a为沉积物Chl a含量）

Fig. 4 Coefficients of determination of different environmental factors in multiple linear regression (Chl a content is the sediment Chl a)

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图 5 黄、渤海海底有机质矿化速率（以碳计）（TC_oxid）与初级生产力（PP）的关系

渤海PP平均值（图a）来源于费尊乐等^[42]、王俊等^[43]和吕培顶等^[44]，黄海PP平均值（图b）来源于Zhang 等^[45]

Fig. 5 Relationship between benthic organic carbon mineralization (TC_oxid) and primary productivity (PP) in the Yellow Sea and Bohai Sea

The mean values of PP (Fig. a) in the Bohai Sea are obtained from Fei et al.^[42], Wang et al.^[43], and Lv et al.^[44], and the mean values of PP (Fig. b) in the Yellow Sea are obtained from Zhang et al.^[45]

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图 6 春季、夏季和秋季黄、渤海水体Chl a浓度（白色）和温度（灰色）随水深变化

Fig. 6 Variation of water column Chl a concentration (white) and temperature (gray) with water depth in spring, summer and autumn in the Yellow Sea and Bohai Sea

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表 1 培养站位沉积物和底层水基本性质

Tab. 1 Basic properties of sediment and bottom water at incubation stations

站位	时间	水深/m	水温/℃	盐度	底层水DO浓度/ (μmol·L⁻¹)	孔隙度/%	含水率/%	TOC/%	TN/%	C/N (mol/mol)	沉积物Chl a浓度/ (μg·g⁻¹)	沉积物Chl a/ 脱镁叶绿酸	Chl a水柱积分/ (mg· m⁻²)
H12	2022年春	69	10.58	33.00	226.9	81	55	0.77	0.13	5.1	3.9	0.61	164.1
	2022年夏		10.88	33.11	185.4	73	49	0.78	0.09	7.4	0.9	0.26	57.4
	2022年秋		12.08	32.23	138.2	81	54	0.81	0.09	7.7	1.7	0.77	120.9
H23	2022年春	77	9.86	32.96	222.8	66	47	0.71	0.12	5.1	6.4	1.17	101.2
	2022年夏		10.10	32.97	189.7	70	50	0.72	0.09	6.9	0.6	0.24	126.6
	2022年秋		10.32	32.90	156.7	66	46	0.65	0.09	6.2	0.8	0.51	108.3
H27	2022年春	68	9.52	32.87	214.9	81	61	1.21	0.20	5.2	12.7	1.56	168.3
	2022年夏		9.22	32.68	165.8	93	69	1.36	0.16	7.3	1.3	0.23	181.1
	2022年秋		9.46	32.46	135.1	81	60	1.45	0.22	5.6	4.1	0.93	241.3
H36	2022年春	72	8.63	32.52	238.8	50	30	0.34	0.04	7.3	5.2	1.33	277.9
	2022年秋		9.55	32.47	161.1	50	29	0.34	0.03	9.7	1.1	0.79	172.2
N17	2022年春	54	6.69	31.70	262.6	84	59	1.43	0.23	5.3	4.6	0.40	124.3
	2022年夏		8.24	31.80	226.3	82	59	1.67	0.19	7.5	4.1	0.64	302.3
	2022年秋		12.2	31.56	134.4	84	58	1.52	0.19	6.9	5.4	0.67	135.1
B03	2022年春	21	7.79	30.13	278.6	69	43	0.74	0.12	5.3	18.1	3.50	115.4
	2022年夏		17.25	29.92	105.6	78	54	0.66	0.09	6.3	2.5	0.47	155.4
	2022年秋		17.78	29.49	206.0	69	42	0.54	0.06	7.7	3.1	2.41	85.4
B11	2022年春	23	7.37	31.28	272.1	70	44	0.59	0.10	5.1	3.0	1.13	38.2
	2022年夏		16.36	30.62	100.7	73	46	0.65	0.06	9.3	1.2	0.35	93.1
	2022年秋		17.39	30.14	193.7	70	43	0.56	0.06	8.0	3.1	1.40	0.5

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