Effects of biochar on soil enzyme activity and bacterial diversity in Jun jujube orchards
In March 2023,a field experiment was conducted in a jujube orchard in the Aksu region to investi-gate the effects of biochar on the physicochemical properties,enzyme activities,and bacterial diversity of saline-al-kali soils.Biochar application levels were set at 0 ( CK),5 ( J1),10 ( J2),20 ( J3),and 30 ( J4) t·hm-2 .The results indicated that,compared to CK,the soil bulk density in the J1～J4 treatments decreased by 2.10% to 22.38%,soil pH increased by 0.36% to 1.32%,cation exchange capacity ( CEC) increased by 6.83% to 18.39%,and organic matter content increased by 16.46% to 38.12%.Compared to CK,the activities of soil catalase,ure-ase,and alkaline phosphatase in the J1～J4 treatments increased by 6.67% to 28.00%,2.94% to 45.52%,and 2.83% to 30.29% respectively,while sucrase activity varied from-0.42% to 27.24%.The activities of these four enzymes showed a trend of initially increasing and then decreasing with the increasing amount of biochar application.Compared to CK,the Chao1 index and Shannon index in the J1～J4 treatments increased by 7.2% to 13.5% and 0.15% to 0.96% respectively,while the relative abundance of the top 10 bacterial phyla decreased by 4.87% to 9.68%.Correlation analysis revealed relationships between soil enzyme activities and soil physicochemical properties and microbial characteristics.Enzyme activities were significantly positively correlated with CEC,and su-crase activity was extremely significantly positively correlated with organic matter content.The Chao1 index ( bacte-rial alpha diversity index) was significantly positively correlated with catalase activity,while the NMDS1 index ( bacterial beta diversity index) was extremely significantly positively correlated with alkaline phosphatase activity.In summary,an application rate of 10 t·hm-2 of biochar is the optimal scheme for improving the physicochemical properties,enzyme activities,and bacterial diversity of soils in the jujube orchards of the Aksu region in Xinjiang.
万方数据
维普
