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红树林地上和地下碳储量之间的关系有助于更准确地估算红树林的总蓝碳储量。

Relationships between above- and below-ground carbon stocks in mangrove forests facilitate better estimation of total mangrove blue carbon.

作者信息

Meng Yuchen, Bai Jiankun, Gou Ruikun, Cui Xiaowei, Feng Jianxiang, Dai Zheng, Diao Xiaoping, Zhu Xiaoshan, Lin Guanghui

机构信息

Key Laboratory for Earth System Modeling, Ministry of Education, Department of Earth System Science, Tsinghua University, Beijing, 100084,, China.

Institute of Ocean Engineering, Tsinghua Shenzhen International Graduate School, Shenzhen, 518055, Guangdong, China.

出版信息

Carbon Balance Manag. 2021 Mar 17;16(1):8. doi: 10.1186/s13021-021-00172-9.

DOI:10.1186/s13021-021-00172-9
PMID:33730236
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7972349/
Abstract

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 = 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.

摘要

背景

尽管在量化红树林碳储量方面已付出巨大努力,但地下碳储量的准确估计仍然不可靠。在本研究中,我们利用自己的实地调查数据和已发表文献中的数据集,研究了中国和其他国家红树林碳储量的分布模式。基于这些数据,我们调查了红树林地上碳储量(AGC)与地下碳储量(BGC)之间可能存在的关系,旨在为估计红树林总碳储量提供科学依据。

结果

各地区的平均地上碳储量相当可观(范围为12.0至150.2 Mg/ha),但平均地下碳储量占主导地位(范围为46.6至388.6 Mg/ha),在中国研究地点占总碳储量的69 - 91%。在中国,地上和地下红树林碳储量之间发现了显著的正相关关系,最佳拟合方程为BGC = 1.58 * AGC + 81.06(Mg/ha,R = 0.62,p < 0.01,n = 122)。对于不同类型和地点的红树林,从中国不同地理区域到全球其他国家,这种线性关系各不相同。

结论

我们在中国和全球范围内发现的红树林地上和地下碳储量之间的正相关关系,有助于使用包括遥感在内的现代技术在区域或全球尺度上更准确地评估红树林蓝碳储量。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/206d/7972349/36536d2d064f/13021_2021_172_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/206d/7972349/867a373799c0/13021_2021_172_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/206d/7972349/357167752d50/13021_2021_172_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/206d/7972349/0430c7240be5/13021_2021_172_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/206d/7972349/2debc33dce2b/13021_2021_172_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/206d/7972349/fa556359bf88/13021_2021_172_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/206d/7972349/2e24d779c1d9/13021_2021_172_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/206d/7972349/36536d2d064f/13021_2021_172_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/206d/7972349/867a373799c0/13021_2021_172_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/206d/7972349/357167752d50/13021_2021_172_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/206d/7972349/0430c7240be5/13021_2021_172_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/206d/7972349/2debc33dce2b/13021_2021_172_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/206d/7972349/fa556359bf88/13021_2021_172_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/206d/7972349/2e24d779c1d9/13021_2021_172_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/206d/7972349/36536d2d064f/13021_2021_172_Fig7_HTML.jpg

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