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全球土壤固氮微生物的环境临界点

Environmental tipping points for global soil nitrogen-fixing microorganisms.

作者信息

Hao Yueqi, Liu Hao, Li Jiawei, Mu Li

机构信息

Key Laboratory for Environmental Factors Control of Agro-product Quality Safety (Ministry of Agriculture and Rural Affairs), Tianjin Key Laboratory of Agro-environment and Safe-product, Institute of Agro-environmental Protection, Ministry of Agriculture and Rural Affairs, Tianjin 300191, China.

Key Laboratory of Pollution Processes and Environmental Criteria (Ministry of Education)/Tianjin Key Laboratory of Environmental Remediation and Pollution Control, College of Environmental Science and Engineering, Nankai University, Tianjin 300080, China.

出版信息

iScience. 2024 Dec 19;28(1):111634. doi: 10.1016/j.isci.2024.111634. eCollection 2025 Jan 17.

DOI:10.1016/j.isci.2024.111634
PMID:39850356
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11754074/
Abstract

Nitrogen-fixing microorganisms (NFMs) are important components of soil N sinks and are influenced by multiple environmental factors. We established a random forest model optimized by the distributed delayed particle swarm optimization (RODDPSO) algorithm to analyze the global NFM data. Soil pH, organic carbon (OC), mean annual precipitation (MAP), altitude, and total phosphorus (TP) are factors with contributions greater than 10% to NFMs. pH, OC, and MAP are the top three factors at the global scale. The tipping points of pH and OC for the NFMs were 7.84 and 2.71%, respectively. The contribution of MAP first increased but then decreased with peak value at 1,265.65 mm. Under the scenario SSP 8.5, 12% of the NFMs increase occur in Africa in 2100; 16% and 36% of the NFMs decrease in North America and Oceania in 2100, respectively. Our work created a global NFMs map and identified the critical tipping points.

摘要

固氮微生物(NFMs)是土壤氮汇的重要组成部分,且受到多种环境因素的影响。我们建立了一种通过分布式延迟粒子群优化(RODDPSO)算法优化的随机森林模型,以分析全球固氮微生物数据。土壤pH值、有机碳(OC)、年均降水量(MAP)、海拔和总磷(TP)是对固氮微生物贡献大于10%的因素。pH值、OC和MAP是全球尺度上的前三大因素。固氮微生物的pH值和OC的临界点分别为7.84和2.71%。MAP的贡献先增加后减少,峰值为1265.65毫米。在共享社会经济路径(SSP)8.5情景下,到2100年,12%的固氮微生物增加发生在非洲;到2100年,北美洲和大洋洲的固氮微生物分别减少16%和36%。我们的工作创建了全球固氮微生物地图并确定了关键临界点。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f687/11754074/02c0231e4b33/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f687/11754074/1095f2fcefb7/fx1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f687/11754074/8e61383bf8e1/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f687/11754074/0ce1e484977d/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f687/11754074/722d6e63be95/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f687/11754074/ec22577dbb18/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f687/11754074/9169abf9ce09/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f687/11754074/02c0231e4b33/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f687/11754074/1095f2fcefb7/fx1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f687/11754074/8e61383bf8e1/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f687/11754074/0ce1e484977d/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f687/11754074/722d6e63be95/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f687/11754074/ec22577dbb18/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f687/11754074/9169abf9ce09/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f687/11754074/02c0231e4b33/gr6.jpg

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本文引用的文献

1
Effect of aridity on the β-diversity of alpine soil potential diazotrophs: insights into community assembly and co-occurrence patterns.干旱对高山土壤潜在固氮菌 β 多样性的影响:对群落组装和共存模式的见解。
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Soil diazotrophic abundance, diversity, and community assembly mechanisms significantly differ between glacier riparian wetlands and their adjacent alpine meadows.
冰川河岸湿地与其相邻的高山草甸之间,土壤固氮微生物的丰度、多样性和群落组装机制存在显著差异。
Front Microbiol. 2022 Dec 8;13:1063027. doi: 10.3389/fmicb.2022.1063027. eCollection 2022.
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Global soil profiles indicate depth-dependent soil carbon losses under a warmer climate.全球土壤剖面表明,在气候变暖的情况下,土壤碳会随深度的增加而减少。
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Deep exploration of random forest model boosts the interpretability of machine learning studies of complicated immune responses and lung burden of nanoparticles.对随机森林模型的深入探索提高了对复杂免疫反应和纳米颗粒肺部负担的机器学习研究的可解释性。
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