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Li R, Zhang X, Ji W, He X, Li Z. Multivariate and scale-dependent controls of deep soil carbon after afforestation in a typical loess-covered region. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2024; 359:120998. [PMID: 38677232 DOI: 10.1016/j.jenvman.2024.120998] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/06/2024] [Revised: 04/13/2024] [Accepted: 04/21/2024] [Indexed: 04/29/2024]
Abstract
Afforestation is beneficial to improving soil carbon pools. However, due to the lack of deep databases, the variations in soil carbon and the combined effects of multiple factors after afforestation have yet to be adequately explored in >1 m deep soils, especially in areas with deep-rooted plants and thick vadose zones. This study examined the multivariate controls of soil organic carbon (SOC) and inorganic carbon (SIC) in 0-18 m deep under farmland, grassland, willow, and poplar in loess deposits. The novelty of this study is that the factors concurrently affecting deep soil carbon were investigated by multiwavelet coherence and structural equation models. On average, the SOC density (53.1 ± 5.0 kg m-2) was only 12% of SIC density (425.4 ± 13.8 kg m-2), with depth-dependent variations under different land use types. In the soil profiles, the variations in SOC were more obvious in the 0-6 m layer, while SIC variations were mainly observed in the 6-12 m layer. Compared with farmland (SOC: 17.0 kg m-2; SIC: 122.9 kg m-2), the plantation of deciduous poplar (SOC: 28.5 kg m-2; SIC: 144.2 kg m-2) increased the SOC and SIC density within the 0-6 m layer (p < 0.05), but grassland and evergreen willow impacted SOC and SIC density insignificantly. The wavelet coherence analysis showed that, at the large scale (>4 m), SOC and SIC intensities were affected by total nitrogen-magnetic susceptibility and magnetic susceptibility-water content, respectively. The structural equation model further identified that SOC density was directly controlled by total nitrogen (path coefficient = 0.64) and indirectly affected by magnetic susceptibility (path coefficient = 0.36). Further, SOC stimulated the SIC deposition by improving water conservation and electrical conductivity. This study provides new insights into afforestation-induced deep carbon cycles, which have crucial implications for forest management and enhancing ecosystem sustainability in arid regions.
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Affiliation(s)
- Ruifeng Li
- State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau, College of Natural Resources and Environment, Northwest A&F University, Yangling, 712100, Shaanxi, China
| | - Xuanhua Zhang
- State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau, College of Natural Resources and Environment, Northwest A&F University, Yangling, 712100, Shaanxi, China
| | - Wangjia Ji
- State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau, College of Natural Resources and Environment, Northwest A&F University, Yangling, 712100, Shaanxi, China
| | - Xiaoling He
- State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau, College of Natural Resources and Environment, Northwest A&F University, Yangling, 712100, Shaanxi, China.
| | - Zhi Li
- State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau, College of Natural Resources and Environment, Northwest A&F University, Yangling, 712100, Shaanxi, China.
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Wang Y, Zhang F, Liao X, Yang X, Zhang G, Zhang L, Wei C, Shi P, Wen J, Ju X, Xu C, Liu Y, Lan Y. Disturbance mitigation of thiencarbazone-methyl·isoxaflutole on bacterial communities through nitrification inhibitor and attapulgite. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2024; 340:122840. [PMID: 37926417 DOI: 10.1016/j.envpol.2023.122840] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/12/2023] [Revised: 10/06/2023] [Accepted: 10/29/2023] [Indexed: 11/07/2023]
Abstract
There is a knowledge gap in the interaction between the effects of herbicide thiencarbazone-methyl·isoxaflutole on soil microflora and environmental parameters, which leads to a lack of measures in mitigating damage to bacterial communities from the herbicide use. The impacts of thiencarbazone-methyl·isoxaflutole and soil parameters on the diversity, structure and functions of soil bacterial communities were clarified, and the effects and potential mitigation mechanisms of nitrapyrin and modified attapulgite with bacterial function intervention on bacterial communities were explored through incubation and field experiments. The results showed that as thiencarbazone-methyl·isoxaflutole application increased, the stress on soil bacterial community structure and diversity also increased. The relative abundance of bacteria including Aridibacter and GP7 and functional annotations including "nitrate_reduction" were significantly negatively correlated with thiencarbazone-methyl·isoxaflutole residues in soils. The remarkable toxic effects on the Adhaeribacter bacteria were detected at the recommended dose of thiencarbazone-methyl·isoxaflutole application. The residue of isoxaflutole (one of the effective ingredients of thiencarbazone-methyl·isoxaflutole) directly and more strongly affected the diversity of soil bacterial communities than thiencarbazone-methyl. Increasing soil pH was recognised as an important factor in improving the diversity and structure of soil microflora based on the results of the Mantel test and canonical correspondence analysis. Supplemental use of nitrapyrin or modified attapulgite was found to increase soil pH, and further improve the expression of "manganese oxidation" function annotation. This contributed to the increased bacterial diversity (Shannon index). Therefore, the disturbance of soil microflora caused by thiencarbazone-methyl·isoxaflutole application can be mitigated by the use of nitrapyrin and modified attapulgite through raising soil pH.
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Affiliation(s)
- Yonglu Wang
- Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China; University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Fengsong Zhang
- Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China.
| | - Xiaoyong Liao
- Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China
| | - Xiao Yang
- Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China
| | - Guixiang Zhang
- School of Environment and Resources, Taiyuan University of Science and Technology, Taiyuan, 030024, Shanxi Province, China
| | - Liyun Zhang
- Key Laboratory for Northern Urban Agriculture of Ministry of Agriculture and Rural Affairs, Beijing University of Agriculture, Beijing, 102206, China
| | - Chaojun Wei
- Key Laboratory for Northern Urban Agriculture of Ministry of Agriculture and Rural Affairs, Beijing University of Agriculture, Beijing, 102206, China
| | - Pengge Shi
- Key Laboratory for Northern Urban Agriculture of Ministry of Agriculture and Rural Affairs, Beijing University of Agriculture, Beijing, 102206, China
| | - Jiongxin Wen
- School of Environment and Resources, Taiyuan University of Science and Technology, Taiyuan, 030024, Shanxi Province, China
| | - Xiaorong Ju
- School of Environment and Resources, Taiyuan University of Science and Technology, Taiyuan, 030024, Shanxi Province, China
| | - Can Xu
- School of Environment and Resources, Taiyuan University of Science and Technology, Taiyuan, 030024, Shanxi Province, China
| | - Yang Liu
- Qiqihar Branch of Heilongjiang Academy of Agricultural Sciences, Qiqihar, 161006, Heilongjiang Province, China
| | - Ying Lan
- Qiqihar Branch of Heilongjiang Academy of Agricultural Sciences, Qiqihar, 161006, Heilongjiang Province, China
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Timmusk S, Pall T, Raz S, Fetsiukh A, Nevo E. The potential for plant growth-promoting bacteria to impact crop productivity in future agricultural systems is linked to understanding the principles of microbial ecology. Front Microbiol 2023; 14:1141862. [PMID: 37275175 PMCID: PMC10235605 DOI: 10.3389/fmicb.2023.1141862] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2023] [Accepted: 03/28/2023] [Indexed: 06/07/2023] Open
Abstract
Global climate change poses challenges to land use worldwide, and we need to reconsider agricultural practices. While it is generally accepted that biodiversity can be used as a biomarker for healthy agroecosystems, we must specify what specifically composes a healthy microbiome. Therefore, understanding how holobionts function in native, harsh, and wild habitats and how rhizobacteria mediate plant and ecosystem biodiversity in the systems enables us to identify key factors for plant fitness. A systems approach to engineering microbial communities by connecting host phenotype adaptive traits would help us understand the increased fitness of holobionts supported by genetic diversity. Identification of genetic loci controlling the interaction of beneficial microbiomes will allow the integration of genomic design into crop breeding programs. Bacteria beneficial to plants have traditionally been conceived as "promoting and regulating plant growth". The future perspective for agroecosystems should be that microbiomes, via multiple cascades, define plant phenotypes and provide genetic variability for agroecosystems.
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Affiliation(s)
- Salme Timmusk
- Department of Forest Mycology and Pathology, Uppsala BioCenter, Swedish University of Agricultural Sciences (SLU), Uppsala, Sweden
| | - Taavi Pall
- Estonian Health Care Board Department of Gene Technology, Tallinn, Estonia
| | - Shmuel Raz
- Department of Information Systems, University of Haifa, Haifa, Israel
| | - Anastasiia Fetsiukh
- Department of Forest Mycology and Pathology, Uppsala BioCenter, Swedish University of Agricultural Sciences (SLU), Uppsala, Sweden
| | - Eviatar Nevo
- Institute of Evolution, University of Haifa, Haifa, Israel
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Zhang X, Huang Z, Zhong Z, Li Q, Bian F, Yang C. Metagenomic insights into the characteristics of soil microbial communities in the decomposing biomass of Moso bamboo forests under different management practices. Front Microbiol 2022; 13:1051721. [PMID: 36590390 PMCID: PMC9797724 DOI: 10.3389/fmicb.2022.1051721] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2022] [Accepted: 11/22/2022] [Indexed: 12/23/2022] Open
Abstract
Introduction Considering the rapid growth and high biomass productivity, Moso bamboo (Phyllostachys edulis) has high carbon (C) sequestration potential, and different management practices can strongly modify its C pools. Soil microorganisms play an important role in C turnover through dead plant and microbial biomass degradation. To date, little is known about how different management practices affect microbial carbohydrate-active enzymes (CAZymes) and their responses to dead biomass degradation. Methods Based on metagenomics analysis, this study analyzed CAZymes in three comparable stands from each Moso bamboo plantation: undisturbed (M0), extensively managed (M1), and intensively managed (M2). Results The results showed that the number of CAZymes encoding plant-derived component degradation was higher than that encoding microbe-derived component degradation. Compared with the M0, the CAZyme families encoding plant-derived cellulose were significantly (p < 0.05) high in M2 and significantly (p < 0.05) low in M1. For microbe-derived components, the abundance of CAZymes involved in the bacterial-derived peptidoglycan was higher than that in fungal-derived components (chitin and glucans). Furthermore, M2 significantly increased the fungal-derived chitin and bacterial-derived peptidoglycan compared to M0, whereas M1 significantly decreased the fungal-derived glucans and significantly increased the bacterial-derived peptidoglycan. Four bacterial phyla (Acidobacteria, Actinobacteria, Proteobacteria, and Chloroflexi) mainly contributed to the degradation of C sources from the plant and microbial biomass. Redundancy analysis (RDA) and mantel test suggested the abundance of CAZyme encoding genes for plant and microbial biomass degradation are significantly correlated with soil pH, total P, and available K. Least Squares Path Modeling (PLS-PM) showed that management practices indirectly affect the CAZyme encoding genes associated with plant and microbial biomass degradation by regulating the soil pH and nutrients (total N and P), respectively. Discussion Our study established that M2 and M1 impact dead biomass decomposition and C turnover, contributing to decreased C accumulation and establishing that the bacterial community plays the main role in C turnover in bamboo plantations.
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Affiliation(s)
- Xiaoping Zhang
- Key Laboratory of Bamboo Forest Ecology and Resource Utilization of National Forestry and Grassland Administration, China National Bamboo Research Center, Zhejiang, China,National Long-term Observation and Research Station for Forest Ecosystem in Hangzhou-Jiaxing-Huzhou Plain, Zhejiang, China,Engineering Research Center of Biochar of Zhejiang Province, Zhejiang, China
| | - Zhiyuan Huang
- Key Laboratory of Bamboo Forest Ecology and Resource Utilization of National Forestry and Grassland Administration, China National Bamboo Research Center, Zhejiang, China,National Long-term Observation and Research Station for Forest Ecosystem in Hangzhou-Jiaxing-Huzhou Plain, Zhejiang, China
| | - Zheke Zhong
- Key Laboratory of Bamboo Forest Ecology and Resource Utilization of National Forestry and Grassland Administration, China National Bamboo Research Center, Zhejiang, China,National Long-term Observation and Research Station for Forest Ecosystem in Hangzhou-Jiaxing-Huzhou Plain, Zhejiang, China,*Correspondence: Zheke Zhong,
| | - Qiaoling Li
- Key Laboratory of Bamboo Forest Ecology and Resource Utilization of National Forestry and Grassland Administration, China National Bamboo Research Center, Zhejiang, China,National Long-term Observation and Research Station for Forest Ecosystem in Hangzhou-Jiaxing-Huzhou Plain, Zhejiang, China
| | - Fangyuan Bian
- Key Laboratory of Bamboo Forest Ecology and Resource Utilization of National Forestry and Grassland Administration, China National Bamboo Research Center, Zhejiang, China,National Long-term Observation and Research Station for Forest Ecosystem in Hangzhou-Jiaxing-Huzhou Plain, Zhejiang, China
| | - Chuanbao Yang
- Key Laboratory of Bamboo Forest Ecology and Resource Utilization of National Forestry and Grassland Administration, China National Bamboo Research Center, Zhejiang, China,National Long-term Observation and Research Station for Forest Ecosystem in Hangzhou-Jiaxing-Huzhou Plain, Zhejiang, China
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