Dominant Edaphic Controls on Particulate Organic Carbon in Global Soils

IF 10.8 1区 环境科学与生态学 Q1 BIODIVERSITY CONSERVATION Global Change Biology Pub Date : 2024-12-11 DOI:10.1111/gcb.17619
Ziyu Guo, Jianzhao Liu, Liyuan He, Jorge L. Mazza Rodrigues, Ning Chen, Yunjiang Zuo, Nannan Wang, Xinhao Zhu, Ying Sun, Lihua Zhang, Yanyu Song, Dengjun Zhang, Fenghui Yuan, Changchun Song, Xiaofeng Xu
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Abstract

The current soil carbon paradigm puts particulate organic carbon (POC) as one of the major components of soil organic carbon worldwide, highlighting its pivotal role in carbon mitigation. In this study, we compiled a global dataset of 3418 data points of POC concentration in soils and applied empirical modeling and machine learning algorithms to investigate the spatial variation in POC concentration and its controls. The global POC concentration in topsoil (0–30 cm) is estimated as 3.02 g C/kg dry soil, exhibiting a declining trend from polar regions to the equator. Boreal forests contain the highest POC concentration, averaging at 4.58 g C/kg dry soil, whereas savannas exhibit the lowest at 1.41 g C/kg dry soil. We developed a global map of soil POC density in soil profiles of 0-30 cm and 0–100 cm with an empirical model. The global stock of POC is 158.15 Pg C for 0–30 cm and 222.75 Pg C for 0–100 cm soil profiles with a substantial spatial variation. Analysis with a machine learning algorithm concluded the predominate controls of edaphic factors (i.e., bulk density and soil C content) on POC concentration across biomes. However, the secondary controls vary among biomes, with solid climate controls in grassland, pasture, and shrubland, while strong vegetation controls in forests. The biome-level estimates and maps of POC density provide a benchmark for modeling C fractions in soils; the various controls on POC suggest incorporating biological and physiochemical mechanisms in soil C models to assess and forecast the soil POC dynamics in response to global change.

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全球土壤颗粒有机碳的优势土壤控制
目前的土壤碳范式将颗粒有机碳(POC)作为全球土壤有机碳的主要组成部分之一,强调了其在碳减排中的关键作用。基于3418个数据点的全球土壤POC浓度数据集,应用经验建模和机器学习算法研究土壤POC浓度的空间变异及其控制因素。全球表层土壤(0-30 cm) POC浓度估计为3.02 g C/kg干土,从极地到赤道呈下降趋势。北方森林的POC浓度最高,平均为4.58 g C/kg干土,而稀树草原的POC浓度最低,为1.41 g C/kg干土。利用经验模型建立了0-30 cm和0-100 cm土壤剖面的全球土壤POC密度图。0 ~ 30 cm土壤剖面全球POC储量为158.15 Pg C, 0 ~ 100 cm土壤剖面全球POC储量为222.75 Pg C,空间差异较大。通过机器学习算法分析,得出了土壤因子(即容重和土壤C含量)对各生物群系POC浓度的主导控制。然而,次级控制因生物群落而异,草原、牧场和灌木地具有坚实的气候控制,而森林则具有强大的植被控制。生物群系水平估算和POC密度图为模拟土壤中C组分提供了基准;对土壤POC的各种控制建议在土壤C模型中纳入生物和物理化学机制,以评估和预测土壤POC对全球变化的响应动态。
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来源期刊
Global Change Biology
Global Change Biology 环境科学-环境科学
CiteScore
21.50
自引率
5.20%
发文量
497
审稿时长
3.3 months
期刊介绍: Global Change Biology is an environmental change journal committed to shaping the future and addressing the world's most pressing challenges, including sustainability, climate change, environmental protection, food and water safety, and global health. Dedicated to fostering a profound understanding of the impacts of global change on biological systems and offering innovative solutions, the journal publishes a diverse range of content, including primary research articles, technical advances, research reviews, reports, opinions, perspectives, commentaries, and letters. Starting with the 2024 volume, Global Change Biology will transition to an online-only format, enhancing accessibility and contributing to the evolution of scholarly communication.
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