Arid
DOI10.1186/s13021-021-00172-9
Relationships between above- and below-ground carbon stocks in mangrove forests facilitate better estimation of total mangrove blue carbon
Meng, Yuchen; Bai, Jiankun; Gou, Ruikun; Cui, Xiaowei; Feng, Jianxiang; Dai, Zheng; Diao, Xiaoping; Zhu, Xiaoshan; Lin, Guanghui
通讯作者Lin, GH (corresponding author), Tsinghua Univ, Dept Earth Syst Sci, Minist Educ, Key Lab Earth Syst Modeling, Beijing 100084, Peoples R China. ; Zhu, XS ; Lin, GH (corresponding author), Tsinghua Shenzhen Int Grad Sch, Inst Ocean Engn, Shenzhen 518055, Guangdong, Peoples R China.
来源期刊CARBON BALANCE AND MANAGEMENT
ISSN1750-0680
出版年2021
卷号16期号:1
英文摘要Background Although great efforts have been made to quantify mangrove carbon stocks, accurate estimations of below-ground carbon stocks remain unreliable. In this study, we examined the distribution patterns of mangrove carbon stocks in China and other countries using our own field survey data and datasets from published literature. Based on these data, we investigated the possible relationships between above-ground carbon stock (AGC) and below-ground carbon stock (BGC) for mangrove forests, aiming to provide a scientific basis for estimation of total mangrove carbon stocks. Results The average above-ground carbon stock in each region was sizeable (ranging from 12.0 to 150.2 Mg/ha), but average below-ground carbon stock was dominant (ranging from 46.6 to 388.6 Mg/ha), accounting for 69-91% of total carbon stock at the sites studied in China. Significant positive relationships were found between above-ground and below-ground mangrove carbon stocks, with the best fitting equation as BGC = 1.58 * AGC + 81.06 (Mg/ha, R-2 = 0.62, p < 0.01, n = 122) for China. Such linear relationships vary for mangrove forests of different types and locations, from different geographical regions in China to other countries worldwide. Conclusion The positive relationship we found between above- and below-ground carbon stocks of mangrove forests in China and worldwide can facilitate more accurate assessments of mangrove blue carbon stocks at regional or global scales using modern techniques including remote sensing.
英文关键词Carbon stock estimation Mangrove biomass Coastal wetland ecosystem Blue carbon Remote sensing
类型Article
语种英语
开放获取类型gold, Green Published
收录类别SCI-E
WOS记录号WOS:000630005000001
WOS关键词NET PRIMARY PRODUCTIVITY ; ORGANIC-CARBON ; ALLOMETRIC RELATIONSHIPS ; ABOVEGROUND BIOMASS ; GLOBAL PATTERNS ; ARID-ZONE ; STORAGE ; SOIL ; ECOSYSTEM ; SEQUESTRATION
WOS类目Environmental Sciences
WOS研究方向Environmental Sciences & Ecology
来源机构清华大学
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/368940
作者单位[Meng, Yuchen; Bai, Jiankun; Gou, Ruikun; Cui, Xiaowei; Lin, Guanghui] Tsinghua Univ, Dept Earth Syst Sci, Minist Educ, Key Lab Earth Syst Modeling, Beijing 100084, Peoples R China; [Meng, Yuchen; Bai, Jiankun; Gou, Ruikun; Dai, Zheng; Zhu, Xiaoshan; Lin, Guanghui] Tsinghua Shenzhen Int Grad Sch, Inst Ocean Engn, Shenzhen 518055, Guangdong, Peoples R China; [Feng, Jianxiang] Sun Yat Sen Univ, Sch Marine Sci, Zhuhai 510275, Guangdong, Peoples R China; [Cui, Xiaowei] State Forestry & Grassland Adm, Kunming Inst Survey & Design, Kunming 650216, Yunnan, Peoples R China; [Diao, Xiaoping] Hainan Normal Univ, Coll Life Sci, Haikou 571158, Hainan, Peoples R China; [Diao, Xiaoping] Hainan Univ, State Key Lab South China Sea Marine Resource Uti, Haikou 570228, Hainan, Peoples R China
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Meng, Yuchen,Bai, Jiankun,Gou, Ruikun,et al. Relationships between above- and below-ground carbon stocks in mangrove forests facilitate better estimation of total mangrove blue carbon[J]. 清华大学,2021,16(1).
APA Meng, Yuchen.,Bai, Jiankun.,Gou, Ruikun.,Cui, Xiaowei.,Feng, Jianxiang.,...&Lin, Guanghui.(2021).Relationships between above- and below-ground carbon stocks in mangrove forests facilitate better estimation of total mangrove blue carbon.CARBON BALANCE AND MANAGEMENT,16(1).
MLA Meng, Yuchen,et al."Relationships between above- and below-ground carbon stocks in mangrove forests facilitate better estimation of total mangrove blue carbon".CARBON BALANCE AND MANAGEMENT 16.1(2021).
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