Source data of 'A global assessment of mangrove soil organic carbon sources and implications for blue carbon credit'.
收藏DataCite Commons2024-09-29 更新2025-01-06 收录
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https://figshare.com/articles/dataset/Source_data_of_A_global_assessment_of_mangrove_soil_organic_carbon_sources_and_implications_for_blue_carbon_credit_/27129219
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This is the source data of research entitled 'A global assessment of mangrove soil organic carbon sources and implications for blue carbon credit'. This source data contains isotope (δ<sup>13</sup>C, δ<sup>15</sup>N) and N/C values of global mangrove sediments from the Web of Science using combinations of keywords “mangrove C* source”, “mangrove isotope”, “mangrove source”, utilizing 100 studies and 441 observations. The database should meet the following requirements: (1) parameters that used to calculate the OC sources should be reported (either δ<sup>13</sup>C and N/C or δ<sup>13</sup>C and δ<sup>15</sup>N); (2) the work must have been published in peer-reviewed publications; (3) the study must have been a field study in natural conditions without artificial manipulation. Besides, from the literature, we collected isotope and N/C values for mangrove tissues, riverine POM, phytoplankton, and microalgae to generate mangrove, terrestrial and marine endmembers. Phytoplankton and macroalgae were combined as a single OC source since their published δ<sup>13</sup>C or δ<sup>15</sup>N and N/C were largely overlapped. This dataset is used in mangrove OC source identification using two-tracer stable isotope analysis in R (MixSIAR), one of the more modern Bayesian mixing models.
本数据集为研究《全球红树林土壤有机碳来源评估及其对蓝色碳汇信用的启示》的配套源数据。本数据集基于Web of Science数据库,通过关键词组合"mangrove C* source"、"mangrove isotope"、"mangrove source"进行检索筛选,共纳入100项研究、441组观测数据,包含全球红树林沉积物的同位素(δ¹³C、δ¹⁵N)及氮碳比(N/C)数值。该数据集需满足以下三项遴选标准:(1)需报告用于计算有机碳(OC, Organic Carbon)来源的相关参数,即δ¹³C与N/C,或δ¹³C与δ¹⁵N;(2)研究需发表于同行评议学术期刊;(3)实验需为自然条件下的野外实地研究,未施加人工干预。此外,本研究从检索所得文献中收集了红树林组织、河流颗粒有机质(POM, Particulate Organic Matter)、浮游植物及微藻的同位素与N/C数值,用于构建红树林端元、陆源端元及海源端元。鉴于已发表的浮游植物与大型藻类的δ¹³C、δ¹⁵N及N/C数值重叠度较高,故将二者合并为单一有机碳来源。本数据集可用于基于R语言实现的双示踪稳定同位素混合模型MixSIAR(MixSIAR)开展红树林有机碳来源识别研究,该模型是当前较为先进的贝叶斯混合模型之一。
提供机构:
figshare
创建时间:
2024-09-29



