深圳不同红树林群落生物量和碳储量

doi:10.11978/2025013

热带海洋学报 ›› 2025, Vol. 44 ›› Issue (6): 155-164.doi: 10.11978/2025013CSTR: 32234.14.2025013

深圳不同红树林群落生物量和碳储量

粟春青(), 高育慧, 罗炘武, 韩梦梦, 宫彦章, 郑卫国()

广东文科绿色科技股份有限公司, 广东省园林景观与生态恢复工程技术研究中心, 广东深圳 518111

收稿日期:2025-01-22 修回日期:2025-03-06 出版日期:2025-11-10 发布日期:2025-12-03
通讯作者: 郑卫国(1983—), 男, 山东省济宁市人, 硕士, 高级工程师, 主要从事植物引种与繁育、森林培育、生态修复研究。email: 57959061@qq.com
作者简介:
粟春青(1996—), 女, 广西贺州市人, 硕士, 工程师, 研究方向为园林植物景观与生态修复。email:1656702264@qq.com
基金资助:
深圳市科技计划项目(KCXFZ202002011006491)

Forest biomass and carbon storage of different mangrove communities in Shenzhen, China

SU Chunqing(), GAO Yuhui, LUO Xinwu, HAN Mengmeng, GONG Yanzhang, ZHENG Weiguo()

Guangdong Wenke Green Technology Corp., Ltd., Guangdong Landscape and Ecological Restoration Engineering Technology Research Center, Shenzhen 518111, China

Received:2025-01-22 Revised:2025-03-06 Online:2025-11-10 Published:2025-12-03
Contact: ZHENG Weiguo. email: 57959061@qq.com
Supported by:
Shenzhen Municipal Science and Technology Plan Project(KCXFZ202002011006491)

摘要/Abstract

摘要：

探究不同海岸条件下深圳红树林的群落特征及碳积累功能, 对深圳宝安西湾红树林、大鹏鹿咀山庄红树林、福田红树林国家级自然保护区3个红树林湿地的主要红树群落进行植物生长指标、土壤有机碳与植株碳含量测定, 对不同群落的生物量与土壤碳密度进行了对比研究。结果表明: 秋茄、海桑、无瓣海桑是深圳3个样点红树林群落的建群种、优势种或伴生种; 3个样点以西湾红树林的秋茄和海桑+无瓣海桑群落的植被碳密度最高, 分别为88.03和233.56t·hm^-2; 福田红树林保护区具有最高的土壤有机碳密度(63.10g·kg^-1)和土壤碳密度(134.65t·hm^-2), 但其土壤含水量与土壤容重均显著低于其余2个样点; 大鹏鹿咀山庄红树林群落物种组成最丰富, 土壤容重最大, 而群落株高、胸径及生物量均较小; 不同红树群落均以无瓣海桑群落的树高、胸径与植被碳密度最高, 但其土壤有机碳含量、土壤碳密度均最小, 福田自然秋茄林的土壤有机碳含量高于其余乡土与外来红树林; 9种红树植物茎、叶、果的有机碳含量均以秋茄最高, 以老鼠簕最低, 不同器官碳含量中, 秋茄、木榄均以果实含量最高, 其余红树植物以茎、叶的有机碳较大。

关键词: 红树林, 生物量, 土壤碳密度, 植株碳含量, 深圳

Abstract:

To explore the community characteristics and carbon accumulation function of mangroves under different coastal conditions in Shenzhen, we measured plant growth indices, soil organic carbon, and plant carbon content in three mangrove wetlands: Bao'an Xiwan Mangrove, Dapeng Luzui Mountain Mangrove, and Futian Mangrove National Nature Reserve. The biomass and soil carbon density of different communities were compared. The results showed that Kandelia obovata, Sonneratia caseolaris, and Sonneratia apetala were the constructive, dominant or associated species in the three mangrove communities of Shenzhen. The vegetation carbon density was highest in the K. obovata (88.03 t·hm^-2) and S. caseolaris+S. apetala (233.56 t·hm^-2) communities in the Xiwan Mangrove. The Futian Mangrove Reserve exhibited the highest soil organic carbon and soil carbon density (63.10 g·kg^-1, 134.65 t·hm^-2), though its soil water content and bulk density were significantly lower than the other two sites. The Dapeng Luzui Mangrove community showed the richest species composition and highest soil bulk density, but had relatively smaller plant height, DBH, and biomass. Among all communities, the S. apetala community displayed the greatest tree height, DBH, and vegetation carbon density, yet the lowest soil organic carbon content and soil carbon density. The soil organic carbon content in Futian’s natural K. obovata stand was higher than in other native and exotic mangroves. Among nine mangrove species, K. obovata showed the highest organic carbon content in stems, leaves, and fruits, while Acanthus ilicifolius had the lowest. In terms of carbon content in different plant organs, K. obovata and Bruguiera gymnorrhiza had the highest carbon content in fruits, whereas other mangrove species had higher carbon content in stems and leaves.

Key words: mangrove, biomass, soil carbon density, plant carbon content, Shenzhen

中图分类号:

S718.54

粟春青, 高育慧, 罗炘武, 韩梦梦, 宫彦章, 郑卫国. 深圳不同红树林群落生物量和碳储量[J]. 热带海洋学报, 2025, 44(6): 155-164.

SU Chunqing, GAO Yuhui, LUO Xinwu, HAN Mengmeng, GONG Yanzhang, ZHENG Weiguo. Forest biomass and carbon storage of different mangrove communities in Shenzhen, China[J]. Journal of Tropical Oceanography, 2025, 44(6): 155-164.

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参考文献 41

[1]	曹庆先, 2010. 北部湾沿海红树林生物量和碳贮量的遥感估算[D]. 北京: 中国林业科学研究院.
	CAO QINGXIAN, 2010. The estimation of mangrove biomass and carbon storage using remote sensing data in Beibu Gulf coast[D]. Beijing: Chinese Academy of Forestry (in Chinese with English abstract).
[2]	陈瑶瑶, 张雅松, 娄铎, 等, 2019. 广东英罗湾不同潮位红树林-滩涂系统碳密度差异[J]. 生态环境学报, 28(6): 1134-1140. doi: 10.16258/j.cnki.1674-5906.2019.06.008
	CHEN YAOYAO, ZHANG YASONG, LOU DUO, et al, 2019. Carbon density difference of mangrove-shoal system at different tidal levels in Yingluo Bay, Guangdong[J]. Ecology and Environmental Sciences, 28(6): 1134-1140 (in Chinese with English abstract).
[3]	陈毅青, 陈宗铸, 陈小花, 等, 2020. 石梅湾3种植物叶片与其群落凋落物C, N, P生态化学计量特征研究[J]. 林业资源管理 (4): 66-73.
	CHEN YIQING, CHEN ZONGZHU, CHEN XIAOHUA, et al, 2020. A study on ecological stoichiometric characteristics of C, N and P in three kinds of plant leaves and their community litters in Shimeiwan of Hainan Island[J]. Forest Resources Management, (4): 66-73 (in Chinese with English abstract).
[4]	陈顺洋, 安文硕, 陈彬, 等, 2021. 红树林生态修复固碳效果的主要影响因素分析[J]. 应用海洋学学报, 40(1): 34-42.
	CHEN SHUNYANG, AN WENSHUO, CHEN BIN, et al, 2021. Decisive factors impacting the carbon sequestration in mangrove ecological restoration[J]. Journal of Applied Oceanography, 40(1): 34-42 (in Chinese with English abstract).
[5]	樊月, 潘云龙, 陈志为, 等, 2019. 四种红树植物根茎叶的碳氮磷化学计量特征[J]. 生态学杂志, 38(4): 1041-1048.
	FAN YUE, PAN YUNLONG, CHEN ZHIWEI, et al, 2019. C∶N∶P stoichiometry in roots, stems, and leaves of four mangrove species[J]. Chinese Journal of Ecology, 38(4): 1041-1048 (in Chinese with English abstract).
[6]	高天伦, 2018. 广东省雷州附城主要红树林群落碳储量及其影响因子[D]. 北京: 中国林业科学研究院.
	GAO TIANLUN, 2018. Carbon Storage and Influence Factors of Major Mangrove Communities in Fucheng, Leizhou Peninsula, Guangdong Province[D]. Beijing: Chinese Academy of Forestry (in Chinese with English abstract).
[7]	郭梦晴, 杨颖, 许叶, 等, 2020. 高州油茶人工林碳储量分布特征[J]. 华南农业大学学报, 41(3): 86-92.
	GUO MENGQING, YANG YING, XU YE, et al, 2020. Carbon storage and distribution characteristics of Camellia gauchowensis plantation[J]. Journal of South China Agricultural University, 41(3): 86-92 (in Chinese with English abstract).
[8]	广东省市场监督管理局, 2024. 滨海湿地生态系统固碳量评估技术规程: DB44/T 2504—2024[S]. 广州: 广东省市场监督管理局.
[9]	胡懿凯, 2019. 淇澳岛不同恢复类型红树林碳密度和固碳速率比较研究[D]. 长沙: 中南林业科技大学.
	HU YIKAI, 2019. Comparative studies on carbon density and carbon fixation of mangroves of different recovery types in Qi'ao Island[D]. Changsha: Central South University of Forestry & Technology (in Chinese with English abstract).
[10]	胡柳柳, 谭敏, 罗琴, 等, 2024. 基于WorldView-3遥感影像的福田红树林碳储量年际变化[J]. 广西植物, 44(8): 1403-1414.
	HU LIULIU, TAN MIN, LUO QIN, et al, 2024. Interannual changes of carbon storage in mangrove forests in Futian based on WorldView-3 remote sensing images[J]. Guihaia, 44(8): 1403-1414 (in Chinese with English abstract).
[11]	姜生秀, 赵鹏, 张俊年, 等, 2024. 祁连山典型植被土壤有机碳分布特征及其影响因素[J]. 林草资源研究 (2): 1-7.
	JIANG SHENGXIU, ZHAO PENG, ZHANG JUNNIAN, et al, 2024. Characteristics and influencing factors of soil organic carbon in typical vegetation in the Qilian Mountains[J]. Forest and Grassland Resources Research, (2): 1-7 (in Chinese with English abstract).
[12]	李海生, 董华杰, 张彩婵, 等, 2019. 深圳鹿咀红树林资源现状及保护[J]. 安徽农业科学, 47(20): 110-112.
	LI HAISHENG, DONG HUAJIE, ZHANG CAICHAN, et al, 2019. Current status and conservation of mangrove resources in Luzui, Shenzhen[J]. Journal of Anhui Agricultural Sciences, 47(20): 110-112 (in Chinese with English abstract).
[13]	李艺蝉, 2021. 红树植物木质部结构特征及其对环境因子的响应[D]. 南宁: 广西大学.
	LI YICHAN, 2021. Xylem anatomical structure and response to environment of mangrove[D]. Nanning: Guangxi University (in Chinese with English abstract).
[14]	毛子龙, 杨小毛, 赵振业, 等, 2012. 深圳福田秋茄红树林生态系统碳循环的初步研究[J]. 生态环境学报, 21(7): 1189-1199. doi: 10.16258/j.cnki.1674-5906(2012)07-1189-11
	MAO ZILONG, YANG XIAOMAO, ZHAO ZHENYE, et al, 2012. Preliminary study on mangrove ecosystem carbon cycle of Kandelia candel in Futian nature reserve, Shenzhen, China[J]. Ecology and Environmental Sciences, 21(7): 1189-1199 (in Chinese with English abstract).
[15]	彭聪姣, 钱家炜, 郭旭东, 等, 2016. 深圳福田红树林植被碳储量和净初级生产力[J]. 应用生态学报, 27(7): 2059-2065. doi: 10.13287/j.1001-9332.201607.029
	PENG CONGJIAO, QIAN JIAWEI, GUO XUDONG, et al, 2016. Vegetation carbon stocks and net primary productivity of the mangrove forests in Shenzhen, China[J]. Chinese Journal of Applied Ecology, 27(7): 2059-2065 (in Chinese with English abstract).
[16]	彭逸生, 庄雪茵, 赵丽丽, 等, 2023. 树种选择和滩地高程对红树林修复早期系统碳储量的影响[J]. 中山大学学报(自然科学版)(中英文), (2): 37-46.
	PENG YISHENG, ZHUANG XUEYIN, ZHAO LILI, et al, 2023. Influence of species choice and tidal flat elevation on the carbon sequestration of early mangrove restoration[J]. Acta Scientiarum Naturalium Universitatis Sunyatseni, 62(2): 37-46 (in Chinese with English abstract).
[17]	邱瑾, 戴洪涛, 邢永泽, 等, 2023. 广西山口不同演替阶段红树植物叶茎根的生态化学计量特征[J]. 热带海洋学报, 42(3): 149-157.
	QIU JIN, DAI HONGTAO, XING YONGZE, et al, 2023. Leaves, stems and roots stoichiometry characteristics of mangrove plants at different succession stages in the Shankou National Mangrove Nature Reserve, China[J]. Journal of Tropical Oceanography, 42(3): 149-157 (in Chinese with English abstract).
[18]	覃国铭, 张靖凡, 周金戈, 等, 2023. 广东省红树林土壤碳储量及固碳潜力研究[J]. 热带地理, 43(1): 23-30. doi: 10.13284/j.cnki.rddl.003606
	QIN GUOMING, ZHANG JINGFAN, ZHOU JINGE, et al, 2023. Soil carbon stock and potential carbon storage in the mangrove forests of Guangdong[J]. Tropical Geography, 43(1): 23-30 (in Chinese with English abstract). doi: 10.13284/j.cnki.rddl.003606
[19]	孙学超, 黄展鹏, 张琼锐, 等, 2022. 珠海淇澳岛人工次生无瓣海桑纯林的植被碳储量变化[J]. 华南师范大学学报(自然科学版), 54(4): 89-100.
	SUN XUECHAO, HUANG ZHANPENG, ZHANG QIONGRUI, et al, 2022. The biological carbon storage change of artificial secondary Sonneratia apetala on Qi’ao Island, Zhuhai[J]. Journal of South China Normal University (Natural Science Edition), 54(4): 89-100 (in Chinese with English abstract).
[20]	温远光, 1999. 广西英罗港5种红树植物群落的生物量和生产力[J]. 广西科学, 6(2): 142-147.
	WEN YUANGUANG, 1999. Biomass and productivity of five mangrove communities in Yingluo Bay of Guangxi[J]. Guangxi Sciences, 6(2): 142-147. (in Chinese with English abstract)
[21]	徐芳, 2020. 基于Sentinel-2的红树林提取及碳储量估算研究[D]. 兰州: 兰州交通大学.
	XU FANG, 2020. Mangrove extraction and carbon storage estimation by using Sentinel-2 images[D]. Lanzhou: Lanzhou Jiaotong University (in Chinese with English abstract).
[22]	颜葵, 2015. 海南东寨港红树林湿地碳储量及固碳价值评估[D]. 海口: 海南师范大学.
	YAN KUI, 2015. Carbon storage and evaluation of mangrove wetlands in Dongzhaigang, Hainan[D]. Haikou: Hainan Normal University (in Chinese with English abstract).
[23]	朱德煌, 2023. 深圳福田土著和外来红树物种叶片的化学计量特征[J]. 湿地科学, 21(5): 681-688.
	ZHU DEHUANG, 2023. Stoichiometric characteristics of leaves of native and alien mangrove species in Futian, Shenzhen[J]. Wetland Science, 21(5): 681-688 (in Chinese with English abstract).
[24]	张子鸣, 王艺杰, 王莹, 等, 2023. 珠江口红树林湿地土壤碳的分布特征和影响因素研究[J]. 环境科学学报, 43(1): 297-306.
	ZHANG ZIMING, WANG YIJIE, WANG YING, et al, 2023. Distribution patterns and influencing factors of soil carbon storage in mangrove wetland at the Pear River Estuary[J]. Acta Scientiae Circumstantiae, 43(1): 297-306 (in Chinese with English abstract).
[25]	张欢欢, 马胜中, 常晓红, 等, 2024. 红树林碳汇研究现状及未来对策[J/OL]. 地球化学:1-10. (2024-10-29) [2025-01-22]. https://link.cnki.net/doi/10.19700/j.0379-1726.2024.01.150
	ZHANG HUANHUAN, MA SHENGZHONG, CHANG XIAOHONG, et al, 2024. A review of mangrove carbon sink research and future strategies[J/OL]. Geochimica: 1-10. (2024-10-29) [2025-01-22]. https://link.cnki.net/doi/10.19700/j.0379-1726.2024.01.150in Chinese with English abstract).
[26]	周丽丽, 李树斌, 王万萍, 等, 2020. 福建漳江口4种红树植物叶片碳氮磷化学计量及养分重吸收特征[J]. 应用与环境生物学报, 26(3): 674-680.
	ZHOU LILI, LI SHUBIN, WANG WANPING, et al, 2020. Leaf C, N, P stoichiometry and nutrient resorption characteristics among four mangrove tree species in the Zhangjiangkou wetland, Fujian Province[J]. Chinese Journal of Applied and Environmental Biology, 26(3): 674-680 (in Chinese with English abstract).
[27]	周元慧, 2020. 广西北部湾红树林生态系统的生态化学计量特征研究[D]. 南宁: 南宁师范大学.
	ZHOU YUANHUI, 2020. Ecological stoichiometric characteristics of mangrove ecosystem in Beibu Gulf, Guangxi[D]. Nanning: Nanning Normal University (in Chinese with English abstract).
[28]	周治刚, 岳文, 李辉权, 等, 2024. 树种类型和潮滩高程对广东湛江高桥红树林碳储量的影响[J]. 热带海洋学报, 43(2): 108-120.
	ZHOU ZHIGANG, YUE WEN, LI HUIQUAN, et al, 2024. Influence of tree species and intertidal elevations on the carbon storage of the Gaoqiao mangrove area in Zhanjiang, Guangdong Province[J]. Journal of Tropical Oceanography, 43(2): 108-120 (in Chinese with English abstract).
[29]	朱利永, 黄泓杰, 2019. 深圳市宝安区西海岸红树林恢复与重建研究[J]. 林业科技, 44(4): 59-62 (in Chinese).
[30]	CHOUDHARY B, DHAR V, PAWASE A S, 2024. Blue carbon and the role of mangroves in carbon sequestration: Its mechanisms, estimation, human impacts and conservation strategies for economic incentives[J]. Journal of Sea Research, 199: 102504. doi: 10.1016/j.seares.2024.102504
[31]	CLOUGH B F, SCOTT K, 1989. Allometric relationships for estimating above-ground biomass in six mangrove species[J]. Forest Ecology and Management, 27(2): 117-127. doi: 10.1016/0378-1127(89)90034-0
[32]	COMLEY B W T, MCGUINNESS K A, 2005. Above- and below-ground biomass, and allometry, of four common northern Australian mangroves[J]. Australian Journal of Botany, 53(5): 431-436. doi: 10.1071/BT04162
[33]	DONATO D C, KAUFFMAN J B, MURDIYARSO D, et al, 2011. Mangroves among the most carbon-rich forests in the tropics[J]. Nature Geoscience, 4(5): 293-297. doi: 10.1038/ngeo1123
[34]	HOWARD J, HOYT S, ISENSEE K, et al, 2014. Coastal blue carbon: methods for assessing carbon stocks and emissions factors in mangroves, tidal salt marshes, and seagrass meadows[M]. Arlington: Conservation International, Intergovernmental Oceanographic Commission of UNESCO International Union for Conservation of Nature.
[35]	KOMIYAMA A, POUNGPARN S, KATO S, 2005. Common allometric equations for estimating the tree weight of mangroves[J]. Journal of Tropical Ecology, 21(4): 471-477. doi: 10.1017/S0266467405002476
[36]	LIU HONGXIAO, REN HAI, HUI DAFENG, et al, 2014. Carbon stocks and potential carbon storage in the mangrove forests of China[J]. Journal of Environmental Management, 133: 86-93. doi: 10.1016/j.jenvman.2013.11.037 pmid: 24374165
[37]	PERERA K R S, DE SILVA W, AMARANSINGHE M D, 2024. Carbon stocks in mangrove ecosystems of Sri Lanka: average contributions and determinants of sequestration potential[J]. Ocean & Coastal Management, 257: 107357.
[38]	REN WEI, BEARD R W, 2005. Consensus seeking in multiagent systems under dynamically changing interaction topologies[J]. IEEE Transactions on Automatic Control, 50(5): 655-661. doi: 10.1109/TAC.2005.846556
[39]	TAMAI S, IAMPA P, 1988. Establishment and growth of mangrove seedling in mangrove forests of southern Thailand[J]. Ecological Research, 3(3): 227-238. doi: 10.1007/BF02348582
[40]	WANG FAMING, SANDERS C J, SANTOS I R, et al, 2021. Global blue carbon accumulation in tidal wetlands increases with climate change[J]. National Science Review, 8(9): nwaa296.
[41]	YU CHENXI, FENG JIANXIANG, LIU KAI, et al, 2020. Changes of ecosystem carbon stock following the plantation of exotic mangrove Sonneratia apetala in Qi’ao Island, China[J]. Science of The Total Environment, 717: 137142. doi: 10.1016/j.scitotenv.2020.137142

样点	所在区位	面积/hm²	红树林生境类型	流经河流	土壤质地	样方号
宝安西湾红树林	深圳西部	7.34	河口边缘开阔海岸	铁岗水库排洪河、南昌涌	粉砂土	A1—A15
大鹏鹿咀山庄红树林	深圳东部	8.00	浅滩潟湖	鹿咀河	粉砂土	B1—B8
福田红树林保护区	深圳南部	100	河口内湾	凤塘河	黏壤土	C1—C18

红树树种	异速生长方程	参考文献
秋茄Kandelia obovata	W_AGB=0.0341(D²H)^1.03; W_BGB =0.0483(D²H)^0.834	Clough et al, 1989
木榄Bruguiera gymnorrhiza	W_AGB=0.186D^2.31; W_BGB=0.4697D^1.5541	Clough et al, 1989
桐花树Aegiceras corniculata	W_TGB=0.251ρD^2.46	Howard et al, 2014
海桑Sonneratia caseolaris	W_TGB=0.251ρD^2.46	Howard et al, 2014
无瓣海桑Sonneratia apetala	W_AGB=0.280(D²H)^0.693; W_BGB=0.038(D²H)^0.759	Ren et al, 2005
拉关木Laguncularia racemosa	W_TGB=0.251ρD^2.46	Howard et al, 2014
白骨壤Avicennia marina	lgW_AGB=2.113lgD−0.511 lgW_BGB=1.171lgD+0.106	Comley et al,2005
红海榄Rhizophora stylosa	W_AGB =0.2206D^2.4292 W_BGB=0.261D^1.86	Tamai et al, 1988
海漆Excoecaria agallocha	W_AGB=0.1029D^2.46 W_BGB=0.08928D^2.22	Komiyama et al, 2005

样点	群落类型	样方号	样方数	每100m²平均株数	平均树高/m	平均胸径/cm	平均间距/m	树种组成
宝安西湾红树林	秋茄	A1—A4, A11—A15	9	30	6.29	12.73	1.83	多为秋茄纯林, 个别样方伴生有海桑
宝安西湾红树林	海桑+无瓣海桑	A5—A10	6	22	7.96	22.98	2.00	以海桑、无瓣海桑为优势种, 个别样方伴生有秋茄
大鹏鹿咀山庄红树林	无瓣海桑	B1、B2、B6	3	38	2.96	5.46	1.59	以无瓣海桑为优势种, 伴生种海漆, 多见木榄、白骨壤、秋茄、红海榄、桐花树等幼苗
	红海榄	B5、B7	2	39	1.85	3.41	1.58	以红海榄为优势种, 伴生种秋茄、无瓣海桑
	海漆	B3、B8	2	30	2.95	5.11	1.78	以海漆为优势种, 伴生种秋茄、桐花树、拉关木
	拉关木	B4	1	37	4.12	4.44	1.62	以拉关木为优势种, 伴生种秋茄、海漆
福田红树林保护区	秋茄	C1—C11, C14—C18	16	41	5.42	10.29	1.48	以秋茄占绝对优势种, 伴生种木榄、桐花树, 林下老鼠簕、木榄、卤蕨幼苗密布
福田红树林保护区	海桑+无瓣海桑	C12—C13	2	19	8.46	20.34	2.14	以海桑为优势种, 伴生种无瓣海桑, 林下老鼠簕密布

样点	群落类型	总生物量/(t·hm^-2)	植被碳密度/(t·hm^-2)
宝安西湾红树林	秋茄	203.81	88.03
宝安西湾红树林	海桑+无瓣海桑	494.61	233.56
大鹏鹿咀山庄红树林	无瓣海桑	44.37	21.64
	红海榄	26.56	11.84
	海漆	37.24	15.40
	拉关木	35.51	17.87
福田红树林保护区	秋茄	189.14	81.67
福田红树林保护区	海桑+无瓣海桑	313.05	146.46

样点	群落/均值	含水量/%	容重/(g·cm^-3)	土壤有机碳/(g·kg^-1)	土壤有机碳密度/(t·hm^-2)
西湾红树林	秋茄	85.74	1.40	16.91	39.16
	海桑+无瓣海桑	89.71	1.32	15.73	38.73
	地区均值	87.59±3.92^a	1.36±0.09^a	16.40±4.58^b	38.94±9.78^b
大鹏鹿咀山庄红树林	无瓣海桑	84.66	1.36	17.01	44.63
	红海榄	78.9	1.33	27.52	72.46
	海漆	76.9	1.34	23.52	64.41
	拉关木	76.5	1.68	25.92	86.92
	地区均值	80.26±4.91^b	1.39±0.17^a	22.38±3.82^b	61.82±22.77^b
福田红树林保护区	秋茄	74.55	1.02	64.80	139.42
	海桑+无瓣海桑	81.15	1.21	26.24	63.67
	地区均值	74.96±6.10^c	1.04±0.13^b	63.10±23.75^a	134.65±49.96^a

深圳不同红树林群落生物量和碳储量

Forest biomass and carbon storage of different mangrove communities in Shenzhen, China

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样点	序号	有机碳含量/(g·kg^-1)
样点	序号	树种	叶	茎	果	花托	平均值
宝安西湾红树林	1	秋茄	398.90±7.38B	379.37±5.58B	446.32±17.42	463.06±11.39	421.91±36.99B
宝安西湾红树林	2	无瓣海桑	373.79±12.78A	437.95±10.06A	404.48±15.53	-	405.41±29.98A
大鹏鹿咀山庄红树林	1	秋茄	387.39±7.17Bb	417.19±14.33Aa	-	-	402.29±19.21Ba
	2	无瓣海桑	379.26±9.77Abc	379.26±12.41Bbc	387.39±13.27	-	381.97±12.04Bb
	3	红海榄	363.01±11.81c	360.30±8.13cde	-	-	361.66±9.75cd
	4	海漆	414.48±16.48a	387.39±10.84b	-	-	400.94±19.38a
	5	桐花树	390.10±12.41b	371.14±7.16bcd	-	-	380.62±13.79b
	6	木榄	360.30±8.13cd	365.72±9.77cd	403.65±11.06	-	376.56±22.46bc
	7	拉关木	330.50±9.77e	344.05±8.13e	-	-	337.28±10.94e
	8	白骨壤	341.34±11.81de	352.17±10.84de	-	-	346.76±11.75de
福田红树林保护区	1	秋茄	446.32±8.37Aa	432.37±10.06Aa	482.58±14.76a	-	453.76±24.52Aa
	2	无瓣海桑	393.32±8.37Ab	362.63±12.78Bbc	-	-	377.98±19.39Bc
	3	海桑	446.32±15.53a	373.79±12.16b	404.48±5.85b	-	408.20±33.15b
	4	桐花树	398.90±5.58b	367.19±9.78b	-	-	383.05±18.77bc
	5	木榄	343.11±7.38c	345.90±10.05c	401.69±13.95b	-	363.57±30.11c
	6	老鼠簕	304.06±12.16d	267.79±8.37d	-	-	285.92±21.95d

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