干旱区生态环境知识资源中心(Arid): Combination of artificial zeolite and microbial fertilizer to improve mining soils in an arid area of Inner Mongolia, China

Arid

DOI	10.1007/s40333-023-0028-1
	Combination of artificial zeolite and microbial fertilizer to improve mining soils in an arid area of Inner Mongolia, China
	Li, Wenye; Zhang, Jianfeng; Song, Shuangshuang; Liang, Yao; Sun, Baoping; Wu, Yi; Mao, Xiao; Lin, Yachao
通讯作者	Sun, BP
来源期刊	JOURNAL OF ARID LAND
ISSN	1674-6767
EISSN	2194-7783
出版年	2023
卷号	15 期号:9 页码:1067-1083
英文摘要	Restoration of mining soils is important to the vegetation and environment. This study aimed to explore the variations in soil nutrient contents, microbial abundance, and biomass under different gradients of substrate amendments in mining soils to select effective measures. Soil samples were collected from the Bayan Obo mining region in Inner Mongolia Autonomous Region, China. Contents of soil organic matter (SOM), available nitrogen (AN), available phosphorus (AP), available potassium (AK), microbial biomass carbon/microbial biomass nitrogen (MBC/MBN) ratio, biomass, and bacteria, fungi, and actinomycetes abundance were assessed in Agropyron cristatum L. Gaertn., Elymus dahuricus Turcz., and Medicago sativa L. soils with artificial zeolite (AZ) and microbial fertilizer (MF) applied at T0 (0 g/kg), T1 (5 g/kg), T2 (10 g/kg), and T3 (20 g/kg). Redundancy analysis (RDA) and technique for order preference by similarity to ideal solution (TOPSIS) were used to identify the main factors controlling the variation of biomass. Results showed that chemical indices and microbial content of restored soils were far greater than those of control. The application of AZ significantly increases SOM, AN, and AP by 20.27%, 23.61%, and 40.43%, respectively. AZ significantly increased bacteria, fungi, and actinomycetes abundance by 0.63, 3.12, and 1.93 times of control, respectively. RDA indicated that AN, MBC/MBN ratio, and SOM were dominant predictors for biomass across samples with AZ application, explaining 87.6% of the biomass variance. SOM, MBC/MBN ratio, and AK were dominant predictors with MF application, explaining 82.9% of the biomass variance. TOPSIS indicated that T2 was the best dosage and the three plant species could all be used to repair mining soils. AZ and MF application at T2 concentration in the mining soils with M. sativa was found to be the most appropriate measure.
英文关键词	amendment arid area mining soils restoration soil nutrition
类型	Article
语种	英语
开放获取类型	Bronze
收录类别	SCI-E
WOS记录号	WOS:001087726900005
WOS关键词	PAPER-MILL SLUDGE ; ORGANIC-MATTER ; EXTRACTION METHOD ; MINE TAILINGS ; HEAVY-METALS ; LONG-TERM ; YIELD ; NITROGEN ; RELEASE ; CARBON
WOS类目	Environmental Sciences
WOS研究方向	Environmental Sciences & Ecology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/397190
推荐引用方式 GB/T 7714	Li, Wenye,Zhang, Jianfeng,Song, Shuangshuang,et al. Combination of artificial zeolite and microbial fertilizer to improve mining soils in an arid area of Inner Mongolia, China[J],2023,15(9):1067-1083.
APA	Li, Wenye.,Zhang, Jianfeng.,Song, Shuangshuang.,Liang, Yao.,Sun, Baoping.,...&Lin, Yachao.(2023).Combination of artificial zeolite and microbial fertilizer to improve mining soils in an arid area of Inner Mongolia, China.JOURNAL OF ARID LAND,15(9),1067-1083.
MLA	Li, Wenye,et al."Combination of artificial zeolite and microbial fertilizer to improve mining soils in an arid area of Inner Mongolia, China".JOURNAL OF ARID LAND 15.9(2023):1067-1083.