Microbial biomass, enzyme and mineralization activity in relation to soil organic C, N and P turnover influenced by acid metal stress

Microbial biomass, enzyme and mineralization activity in relation to soil organic C, N and P turnover influenced by acid metal stress
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酸性金属胁迫影​​响下的微生物量、酶和矿化活性与土壤有机 C、N 和 P 周转的关系

DOI:
10.1016/j.soilbio.2009.01.021
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发表时间:
2009-05-01
影响因子:
9.7
通讯作者:
Dai, Jun
Dai, Jun
中科院分区:
农林科学1区
文献类型:
--
作者:
Li, Yong-Tao;Rouland, Corrine;Dai, Jun

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本研究旨在探讨利用土壤微生物生物量、酶和矿化活性等指标评价亚热带农业土壤长期酸性金属胁迫对土壤质量的影响。估算了参与土壤有机质、微生物生物量和矿化过程的C、N和P组分。以土壤有机碳、氮、磷分解过程中的总酶活性(FDA)和8种水解酶活性(木聚糖酶、淀粉酶、β-葡萄糖苷酶、转化酶、N-乙酰氨基葡萄糖苷酶、脲酶、碱性磷酸酶和酸性磷酸酶)为指标,研究了土壤功能多样性。这些生物数据集进行了比较与土壤金属变量(总含量和自由和配体络合离子的Cu,Pb,Zn,Cd,Al和Mn),采用主成分分析,共惯性和判别分析。多元统计分析表明,金属元素不仅与一般生物学因子相关,还与生物量、酶活性和矿化率相关(P均< 0.001)。在一般情况下,金属变量呈负相关的参数和指标的微生物生物量C,N和P,FDA和C相关的多糖酶和杂糖苷酶的活性,和P矿化。作为比较,金属变量表现出正相关的参数和指标的N-乙酰氨基葡萄糖苷酶,尿素酶,氨化,总氮矿化和代谢商,抑制硝化相比。具体而言,在大多数情况下,游离和络合金属阳离子显示出比总含量更高的生物利用度。Cu、Pb、Al和Mn的生态毒理效应与Cd和Zn不同。逐步回归模型表明,金属元素是影响土壤胁迫的主要因素,但大多数模型不考虑土壤pH值。此外,在这些模型中,土壤样品在土地利用和采样点的空间分布明显分离(P
This study focused on the potential of using soil microbial biomass, enzyme and mineralization activities involved in organic C, N and P turnover, to evaluate the quality of a subtropical agricultural soil affected by long-term acid metal stress. Fractions of C, N and P involved in soil organic matter, microbial biomass and mineralization processes were estimated. Total enzyme activity (FDA) and eight hydrolase activities (xylanase, amylase, beta-glucosidase, invertase, N-acteyl-glucosaminidase, urease, alkaline and acid phosphatases) in different decomposition stages of organic C, N and P were selected to characterize the soil functional diversity. These biological datasets were compared with soil metal variables (total contents and free and ligand-complexed ions of Cu, Pb, Zn, Cd, Al and Mn), using principal component analyses, co-inertia and discriminant analyses. The multiple statistics indicate that the metal variables were significantly related with not only general biological factors, but also respective datasets of biomass, enzyme activities and mineralization rates (all P < 0.001). In general, metal variables were inversely related to parameters and indices of microbial biomass C, N and P, FDA and C-related polysaccharidase and heterosidase activities, and P mineralization. As comparison, metal variables exhibited positive relationships with parameters and indices of N-related N-acteyl-glucosaminidase, urease, ammonification, total N mineralization and metabolic quotient, compared with inhibited nitrification. Specifically, free and complexed metal cations showed higher bioavailability than total contents in most cases. Cu, Pb, Al and Mn had different ecotoxicological impacts than Cd and Zn did. Stepwise regression models demonstrated that metal variables are key stress factors, but most of them excluded soil pH. Furthermore, spatial distribution in land uses and of sampling sites clearly separated the soil samples in these models (P