
Geoderma, Год журнала: 2024, Номер 449, С. 117022 - 117022
Опубликована: Сен. 1, 2024
Язык: Английский
Geoderma, Год журнала: 2024, Номер 449, С. 117022 - 117022
Опубликована: Сен. 1, 2024
Язык: Английский
Industrial Crops and Products, Год журнала: 2024, Номер 210, С. 118131 - 118131
Опубликована: Янв. 28, 2024
Язык: Английский
Процитировано
18Biofilm, Год журнала: 2024, Номер 7, С. 100203 - 100203
Опубликована: Май 23, 2024
Oxidizing agents are low-molecular-weight molecules that oxidize other substances by accepting electrons from them. They include reactive oxygen species (ROS), such as superoxide anions (O
Язык: Английский
Процитировано
15The Science of The Total Environment, Год журнала: 2024, Номер 924, С. 171529 - 171529
Опубликована: Март 6, 2024
Язык: Английский
Процитировано
10Industrial Crops and Products, Год журнала: 2023, Номер 208, С. 117838 - 117838
Опубликована: Ноя. 25, 2023
Язык: Английский
Процитировано
22The Science of The Total Environment, Год журнала: 2023, Номер 912, С. 168723 - 168723
Опубликована: Ноя. 24, 2023
Язык: Английский
Процитировано
18Land Degradation and Development, Год журнала: 2024, Номер 35(8), С. 2926 - 2939
Опубликована: Март 19, 2024
Abstract Soil microbial community plays important roles in altering ecological processes and biogeochemical cycles ecosystems. However, little is known about how afforestation influences the diversity, composition, network of soil karst regions. In this study, samples were collected from one farmland (FL) three lands including bamboo forest (BA), landscape tree planting (LAT), orange orchard (ORO) a region Southwest China. The bacterial fungal communities characterized using high‐throughput sequencing approach, properties organic carbon, pH, water content, total available nutrient contents measured under different land use treatments. Results showed that conversion FL to BA LAT significantly reduced Shannon diversity community. At phylum level (top 10), genus 30), operational taxonomic units (OTUs) level, resulted significant changes nine phyla, 24 genera, 31.32% OTUs community, 13 11.62% number nodes, negative edges, connectivity, average degree, relative modularity decreased by 9.33%–18.66%, 47.98%–72.75%, 0.45%–5.93%, 14.73%–22.29%, 6.46%–23.50%, respectively, compared with FL. potassium phosphorus identified as key affecting Compared ORO, more obvious because higher carbon (13.48%) (27.18%). conclusion, changed compositions complexity regions, had stronger on than other These findings provide context necessary evaluate responses
Язык: Английский
Процитировано
6CATENA, Год журнала: 2023, Номер 236, С. 107734 - 107734
Опубликована: Дек. 6, 2023
Язык: Английский
Процитировано
13Journal of environmental chemical engineering, Год журнала: 2024, Номер 12(5), С. 113334 - 113334
Опубликована: Июнь 14, 2024
Язык: Английский
Процитировано
5Journal of Hazardous Materials, Год журнала: 2024, Номер 478, С. 135493 - 135493
Опубликована: Авг. 10, 2024
Язык: Английский
Процитировано
5Microorganisms, Год журнала: 2024, Номер 12(4), С. 656 - 656
Опубликована: Март 26, 2024
Volcanic lava is an excellent model of primary succession, in which basalt-associated microorganisms drive the cycling different elements such as nitrogen, carbon, and other nutrients. Microbial communities volcanic soils are particular interest for study on emergence evolution life within special extreme conditions. The initial processes colonization subsequent rock weathering by microbial still poorly understood. We analyzed soil bacterial fungal diversities associated with (LBL) kipuka (BK) sites Wudalianchi using 16S ITS rRNA Illumina Miseq sequencing techniques. results showed that physical chemical properties (pH, MC, TOC, TN, TP, AP, DOC, DON) significantly differed between LBL BK. Shannon, Ace, Pd indexes fungi two a significant difference (p < 0.05). dominant phyla forming at BK were Acidobacteria, Proteobacteria, Actinobacteria, Basidiomycota, their differences driven Gemmatimonadetes Verrucomicrobia. Ascomycota, Zygomycota, Rozellomcota, sites. extremely 0.05), pH, nitrogen being main influencing factors according to RDA/CCA correlation analysis. functional prediction analysis across relative abundance advantageous groups was combined us conclude deposits appear be factor shaping (WDLC) ecosystems.
Язык: Английский
Процитировано
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